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Who We Are: Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries. We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you. The achievers and courageous challenge-crushers we seek, have the following characteristics and skills: Experience Level: • Senior Design Verification Engineer( 6-14 Years of relevant experience required), • Design Verification Lead- (15+ Years of relevant experience required What will you do: • Develop functional tests based on verification test plan, • Drive Design Verification to closure based on defined verification metrics on test plan, functional and code coverage, • Debug, root-cause and resolve functional failures in the design, partnering with the design/arch team, • Collaborate with cross-functional teams like Design, Model, Emulation and Silicon validation teams towards ensuring the highest design quality What You Will Bring: • Experience using constrained-random, coverage driven verification or C/C++ verification, • Experience in verifying a IP block using standard Design Verification (DV) based techniques, • Experience in Electronic Design Automation (EDA) tools and scripting (Python, Tool Command Language (TCL), Perl, Shell) used to build tools and flows for verification environments, • Understanding in at least one of the following areas: computer architecture, Central Processing Unit (CPU), Graphics Processing Unit (GPU), networking, interconnects, fabrics or similar designs, • Experience debugging fails to the line of RTL, closing out bug fixes, using Verdi or equivalent debug tools, • Experience with revision control systems like Mercurial (Hg), Git or SVN, • Experience working in a CPU/GPU environment If Interested, Please share your resume at shashank.verma@quest-global.com or easy apply on the post.

Director, Analytics and Reporting Department: Data Location: Austin, TX Reports to: SVP, Data The Opportunity Stealth Startup is a technology company with a public safety mission. Through relentless innovation and discovery, we are strengthening trust, safety, and transparency across the student transportation space and making the trip to and from school safer for students. Within this mission, the Director, Analytics and Reporting will lead our Analytics & Reporting function — a team responsible for turning data into decisions across Stealth Startup. This role sits at the intersection of strategy, execution, and enablement: you will own a portfolio of KPIs, dashboards, and analytical products, while also shaping how Stealth Startup uses data to manage performance, run experiments, and make tradeoffs. You will: • Lead and grow the Analytics & Reporting team, setting the vision, standards, and operating model for how we perform analytics and build data products at Stealth Startup., • Own the end-to-end analytics and reporting portfolio: core KPI frameworks, dashboard and reporting strategy, and the roadmap for data insight tools (e.g., Tableau, enterprise scorecards, internal apps) — and partner with the AI tooling owner to thoughtfully integrate AI into analytics and report generation., • Stay hands-on with high-impact analyses, dashboard design, and metric definition, especially for the most critical or ambiguous questions. This is a highly visible role that will work closely with executive stakeholders, journey leads, and the broader Data and Product/Tech organizations. Key Responsibilities 1. Strategy, Ownership, and Stakeholder Partnership • Set and continually refine the overall analytics strategy and data visualization approach for the Analytics & Reporting team, including KPI frameworks, dashboard design standards, and how insights are presented to different audiences., • Partner with project management to translate company and departmental priorities into a focused analytics roadmap: metrics to define, dashboards to build, experiments to run, and tools to improve., • Partner with senior stakeholders (e.g., Operations, Product, GovOps, Fleet Ops, Finance, Sales/Marketing) to:, • Clarify business questions and decision points., • Align on success metrics and definitions., • Prioritize work based on impact and urgency., • Act as the “voice of data” in forums such as MBRs and strategic planning sessions, bringing clear narratives, tradeoffs, and recommendations — not just charts. 1. Team Leadership and People Management • Directly manage a team of Data Analysts and Senior Data Analysts across onshore and offshore locations (and, over time, additional analytics roles)., • Build a high-performing, product-minded analytics team that:, • Understands the business deeply., • Asks good questions and challenges assumptions., • Designs analyses, dashboards, and other data products that are genuinely useful to end users., • Define clear roles, responsibilities, and ways of working within the Analytics & Reporting function and with partner teams (Data Engineering, Data Science, Product, Operations, Finance, etc.)., • Coach and develop team members on:, • Analytical rigor and methodology., • Stakeholder management and storytelling., • Project scoping, estimation, and prioritization., • Foster a culture of continuous improvement, shared learning, and psychological safety — where the team can ship, get feedback, and iterate quickly. 1. Hands-On Analytics and Reporting While this is a leadership role, it is expected to remain hands-on: • Serve as the primary analytics owner for one or more departments and/or journey teams, ensuring that leaders have the data and insights they need to run the business., • Own the design and build of high-impact dashboards and reports (e.g., enterprise scorecards, operational performance views, funnel metrics, safety impact analyses)., • Lead complex or ambiguous analyses end-to-end: from problem framing and data discovery, through modeling and visualization, to recommendations and follow-through., • Partner closely with Data Engineering to:, • Define data requirements and model structures that support your team’s work., • Ensure data quality, lineage awareness, and documentation (in collaboration with governance tooling like Atlan)., • Establish and maintain standard reporting packages for your domains (e.g., weekly operational views, monthly business reviews, quarterly strategic reviews), including clear owner, cadence, and intended decisions. 1. Metrics, Experimentation, and Performance Management • Help to define and maintain metric catalogues for your domains:, • Primary KPIs, supporting diagnostics, and derived metrics., • Clear definitions, calculation logic, and associated business context., • Partner with Product, Operations, and Data Science to:, • Design and analyze experiments (A/B tests, pilots, controlled rollouts) where applicable., • Build repeatable methods for measuring impact of new features, process changes, or programs., • Work with department leaders to ensure that metrics are actually used in decision-making and performance management — not just published. 1. Process, Tooling, and Self-Service Enablement • Collaborate with the SVP of Data, Data Engineering leadership, and AI leadership to scale self-service analytics, including:, • Designing “good enough” self-serve experiences for technically minded business users., • Establishing governance and guardrails around metric definitions and production dashboards., • Contribute to the evolution of our analytics stack (e.g., Redshift, Tableau, internal tools, AI copilots such as PatrolIQ) by providing requirements, feedback, and design input., • Continuously refine how analytics work flows from intake → triage → execution → validation → operationalization, leveraging tools like Jira and shared documentation. Qualifications Must-Have • 8+ years of experience in analytics, business intelligence, or closely related roles, with at least 3+ years leading analysts (people management and/or strong team leadership in a matrixed environment)., • Proven track record building and maintaining production-grade dashboards and reports that support executive and operational decision-making., • Strong proficiency in:, • SQL for data extraction, transformation, and modeling., • At least one analytical language (e.g., Python or R) for deeper analysis and automation., • Modern BI / visualization tools (e.g., Tableau or similar)., • Demonstrated ability to:, • Partner with senior stakeholders to frame questions and make tradeoffs., • Tell clear, concise stories with data, tailored to different audiences (executives vs. operators vs. technical teams)., • Lead cross-functional efforts where analytics is one of several workstreams., • Experience working with data engineering teams and familiarity with modern data platforms such as Redshift, S3, and Glue/ETL. Nice-to-Have • Experience in operations-heavy or B2G / public safety environments, where process, compliance, and outcomes all matter., • Experience leading distributed and/or offshore analytics teams and managing handoffs across time zones., • Experience leading distributed and/or offshore analytics teams and managing handoffs across time zones., • Prior ownership of analytics for one or more of:, • Customer success / support / GovOps., • Fleet / field operations., • Revenue operations, Sales, or Marketing., • Familiarity with data governance and metric catalog tools (e.g., Atlan) and practices., • Exposure to data science / ML concepts, especially around experimentation, forecasting, or anomaly detection (direct hands-on modeling is a plus but not required)., • Experience working with or around GenAI tools and copilots, especially for analytics and reporting workflows.

Senior Quantitative Power Market Strategist (ERCOT Focus) Job Description We are seeking an accomplished Senior Quantitative Power Market Strategist with deep expertise in U.S. electricity markets—preferably ERCOT—to lead the development of advanced analytical frameworks, market models, and decision-support tools that directly influence trading strategy, asset optimization, and real-time dispatch. In this senior leadership role, you will work at the intersection of quantitative research, market operations, and real-time trading, collaborating with traders, data scientists, engineers, and executive stakeholders. You will architect scalable forecasting engines, design market-behavior models, and provide critical insights into price formation, congestion dynamics, renewable intermittency, ancillary services value, and grid reliability trends. Candidates should bring 10+ years of experience, with a strong preference for those who have: • Direct ERCOT operations experience, ideally at major Texas utilities or generators such as Vistra, Austin Energy, LCRA, CenterPoint, NRG, Oncor, or comparable entities; or, • A PhD from a top-tier U.S. engineering, operations research, or quantitative program combined with substantial power markets research. This role is ideal for a senior quantitative leader who is passionate about designing the next generation of power market intelligence systems and shaping the strategies that maximize portfolio value in a fast-evolving ERCOT landscape. Key Responsibilities • Lead the design, development, and deployment of advanced quantitative models supporting real-time trading, unit dispatch, hedging, and risk mitigation across ERCOT and other U.S. ISOs., • Serve as the subject-matter expert for ERCOT market operations, including SCED, ORDC, congestion, CRR valuation, ancillary services, node/bus-level price formation, and reliability mechanisms., • Drive long-term market research initiatives, including structural modelling, scenario analysis, grid-resource evolution, and policy/regulatory impact assessments., • Architect forecasting systems for LMPs, load, renewables, outages, and congestion using statistical, machine learning, and hybrid methods., • Guide data scientists and analysts in rigorous model development, validation, and documentation., • Influence commercial strategy by translating complex quantitative insights into actionable recommendations for senior traders, asset managers, and executive leadership., • Build scalable analytics pipelines to support high-frequency real-time decision-making., • Act as a key advisor during market stress events, providing tactical guidance during system emergencies or extreme price volatility., • Mentor junior analysts and help shape the analytical culture of the trading organization. Minimum Qualifications • 10+ years of professional experience in U.S. power markets, with at least 5 years directly in ERCOT (market operations, commercial analytics, trading support, or asset optimization)., • OR PhD in Electrical Engineering, Operations Research, Industrial Engineering, Applied Mathematics, Statistics, or Computer Science from a top U.S. university, with research focused on power systems or market modelling., • Expert-level understanding of ERCOT’s:, • SCED and pricing engines, • ORDC and ancillary services markets, • Congestion drivers and transmission constraints, • Outage scheduling and reliability processes, • Proficiency in Python, including numerical and ML libraries (NumPy, pandas, scikit-learn, PyTorch, etc.)., • Strong foundation in time-series modelling, stochastic optimization, and applied statistics., • Experience working with large-scale operational datasets (telemetry, outages, generation, load, constraints)., • Demonstrated ability to independently define modelling problems, structure analyses, and drive results with minimal guidance., • Exceptional communication skills, with the ability to influence traders, engineers, and non-technical leadership. Preferred Qualifications • Prior experience at major Texas market participants., • Expertise in power system optimization, including security-constrained economic dispatch, storage scheduling, and bidding strategies., • Experience implementing ML- and deep-learning–based forecasting systems for prices, load, wind/solar generation, or congestion., • Familiarity with cloud-based architectures (AWS/GCP/Azure) and real-time data pipelines., • Experience building decision-support tools for traders in fast-paced environments., • Strong intuition around market participant behaviour, system reliability risk, and ERCOT regulatory trends. Work Style & Leadership Expectations • Comfortable operating under market time pressures and providing rapid, high-quality insights., • Collaborative and confident engaging with senior traders and executive leadership., • High ownership mentality with accountability for model accuracy and analytical outcomes., • Flexibility to support operations during market events, including early morning, evening, or weekend hours as conditions require., • Commitment to building a rigorous, data-driven culture grounded in transparency, model discipline, and continuous improvement. What We Offer • Highly competitive compensation including performance-based incentives., • Full health benefits, flexible PTO, and opportunities for continuing education., • A leadership role shaping one of the most advanced renewable and real-time trading analytics platforms in the industry., • The opportunity to influence grid-scale renewable strategy and contribute to the future of sustainable energy in the ERCOT market. If the role is of interest please apply via LinkedIn or contact Simon Howard (showard@leap29.com)

NXP is seeking a GenAI DevOps Program Manager that will oversee the strategy, development and deployment of generative AI (GenAI) technologies, ensuring they are integrated efficiently and securely into the development and operations (DevOps) lifecycle. This role combines high-level program management with deep technical knowledge of both DevOps principles and AI/ML, focusing on innovation, efficiency, and responsible AI practices. Location: This position is located in Austin, TX and is not open to 100% remote. This is a hybrid role with 3 days in office and 2 days work from home each week. Roles and responsibilities • Strategic leadership: Develop a comprehensive vision for GenAI adoption within DevOps workflows, aligning initiatives with broader organizational goals., • Program coordination: Manage large-scale GenAI initiatives through the full lifecycle, from hypothesis validation and fine-tuning to deployment and post-release evaluation., • Cross-functional collaboration: Act as a bridge between AI research, engineering, and product teams to facilitate communication and ensure alignment., • Risk management: Identify potential risks associated with GenAI development, such as model accuracy, bias, and security vulnerabilities, and develop mitigation strategies., • Process definition: Establish and improve the processes used by GenAI teams to coordinate, communicate, and resolve cross-team issues., • Education and change management: Foster a GenAI-forward culture by providing education and training to development and operations teams., • Performance tracking: Define and track key performance indicators (KPIs) for GenAI adoption and measure the business impact and ROI of initiatives., • Vendor management: Manage relationships with external vendors providing AI training and tools., • Automation: Drive the infusion of GenAI into CI/CD pipelines to automate tasks like code generation, testing, and monitoring. Required skills and qualifications To be successful in the role, you will bring a blend of technical expertise, business acumen, and soft skills: Technical expertise: • Generative AI: Knowledge of AI/ML concepts, including large language models (LLMs), prompt engineering, model training, and fine-tuning., • DevOps: Deep understanding of DevOps practices, such as continuous integration (CI), continuous delivery (CD), infrastructure as code (IaC), and site reliability engineering (SRE)., • Cloud computing: Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated tools for managing infrastructure and AI workloads. Program management skills: • Strategic planning: Ability to create roadmaps, prioritize projects, and align initiatives with business goals., • Agile methodology: Experience with Agile and Scrum to manage the fast-paced development of AI products., • Risk management: Capacity to identify project risks and develop contingency plans. Soft skills: • Communication: Exceptional written and verbal communication to effectively engage both technical and non-technical stakeholders., • Leadership: Strong collaborative leadership and influencing skills to drive alignment and motivate cross-functional teams., • Problem-solving: A proactive, problem-solving mindset and the ability to operate effectively in ambiguous, fast-paced environments. Experience and education: • 12+ years in program or project management, preferably in AI/ML or technology-driven environments., • Proven track record of delivering complex, cross-functional programs., • Education: Bachelor’s or Master’s degree in Computer Science, Electronical Engineering, Data Science, or related field.

Are you looking for an exciting opportunity working for a Global Technology Leader? At Aviat Networks, we take great pride in hiring a workforce that is committed to supporting and strengthening our values and attributes. If you are a results-oriented, customer centric and innovative thinker who also takes pride in personal and professional integrity, Aviat Networks is the ideal next step in your career. We are looking for people who love to solve problems, enjoy change, and know how to have fun so come and join a dynamic team that strives to bring communications to the world. Aviat Networks is the world’s largest independent supplier of wireless transmission systems. We are recognized worldwide for cutting-edge 5G, backhaul, networking solutions and services. Customers in more than 135 countries depend on Aviat Networks to build, expand, and upgrade their voice, data, and video solutions. About the Role: The Director, Global Procurement is a senior leadership role accountable for defining and executing Aviat’s worldwide procurement strategy across direct materials, contract manufacturing, logistics, and indirect spend categories. This role is critical to driving sustainable cost reduction, strengthening supplier partnerships, and enabling scalable, resilient global operations. The ideal candidate is a hands-on procurement leader with deep experience negotiating complex commercial agreements with OEMs, contract manufacturers (CMs), and global distributors, combined with a rigorous, data-driven approach to cost-model validation, commodity pricing governance, and supplier performance management. Most importantly, this leader will build, develop, and inspire high-performing global procurement teams, cultivating a culture of accountability, collaboration, and continuous improvement. Responsibilities: • Global Procurement Strategy & Cost Leadership, • Define and execute a global procurement strategy aligned with company financial, operational, and growth objectives., • Lead enterprise-wide cost reduction initiatives across:, • Contract manufacturing and OEM partnerships, • Direct material suppliers and commodities, • Logistics and freight providers, • All indirect spend categories (IT, services, facilities, professional services, etc.), • Establish disciplined processes to regularly vet and challenge supplier cost models, including BOMs, labor assumptions, overhead, margins, and commodity inputs., • Drive should-cost modeling, benchmarking, and clean-sheet analyses to ensure competitive and transparent pricing. Supplier & Contract Management • Lead complex commercial negotiations with OEMs, CMs, and distributors, ensuring optimal total cost of ownership (TCO), risk mitigation, and contractual protections., • Own global supplier contract strategies, including:, • Long-term supply agreements, • Volume commitments and pricing frameworks, • Risk-sharing and escalation clauses, • Performance-based incentives and penalties, • Build and maintain strategic, executive-level supplier relationships while maintaining firm commercial discipline., • Continuously assess supplier viability, cost competitiveness, capacity, and risk. Manufacturing, Logistics & Risk Management • Partner closely with Operations, Manufacturing, Engineering, and Finance to align sourcing decisions with demand planning, production strategies, and working capital objectives., • Identify and mitigate supply chain and logistics risks, including geopolitical, capacity, financial, and transportation disruptions., • Develop and maintain contingency plans and lead procurement response efforts during supply chain disruptions or crisis events., • Analytics, Governance & Systems, • Establish strong governance around procurement KPIs, cost savings validation, and supplier scorecards., • Leverage ERP/MRP and advanced analytics tools to support:, • Demand alignment, • Inventory optimization, • Cost trend analysis, • Supplier performance management, • Ensure procurement decisions are fact-based, data-driven, and financially sound., • People Leadership & Organizational Development, • Build, lead, and develop a high-performing global procurement organization., • Set a clear vision, expectations, and career paths for procurement team members. Foster a culture of: • Accountability and ownership, • Talent development and coaching, • Cross-functional collaboration, • Continuous improvement and innovation, • Act as a trusted leader and partner across the organization, influencing at all levels. Qualifications & Competencies: Required • Bachelor’s degree in Business, Supply Chain, Engineering, Finance, or related field (MBA or advanced degree preferred)., • 10+ years of progressive procurement and supply chain experience, with significant leadership experience at the Director or Senior Manager level in a global manufacturing or technology environment., • Demonstrated success driving large-scale cost reduction initiatives across direct, indirect, and logistics spend., • Deep expertise in contract negotiations with OEMs, CMs, and global distributors., • Strong experience in cost modeling, should-cost analysis, and commodity pricing governance., • Proven ability to build, lead, and scale teams, including remote and global organizations., • Advanced analytical skills with strong financial acumen., • Expertise with ERP/MRP systems and advanced supply chain analytics tools. Preferred • Background in telecommunications, electronics, or complex hardware manufacturing., • Experience managing global suppliers across Asia, the Americas, and Europe., • Familiarity with lean principles and continuous improvement methodologies. Leadership Competencies • Strategic and systems-level thinker with strong execution discipline, • Confident, ethical, and decisive negotiator, • Results-oriented leader who drives measurable impact, • Strong communicator who can influence executives and frontline teams, • Comfortable operating in fast-paced, ambiguous environments We encourage you to read our Candidate Privacy Notice. You have the right to withdraw your consent at any time. To do this you can email us at privacy@aviatnet.com. Aviat Networks provides equal employment opportunity for all applicants and employees. The Company does not discriminate against applicants or employees on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran or military status, disability or any other legally recognized protected basis under federal, state or local law. Aviat Networks offers a competitive benefits package. Apply NOW to learn more! For positions in California, Colorado, or New York City you may contact us at human.resources@aviatnet.com for the salary range for this position (include the exact Job Title as it reads above).

Company Flotek creates unique solutions to reduce the environmental impact of energy on air, water, land and people. A technology-driven, specialty green chemistry and data technology company, Flotek helps customers across industrial and commercial markets improve their environmental performance. The Company serves specialty chemistry needs for both domestic and international energy markets. Flotek has an intellectual property portfolio of over 170 patents and a global presence in more than 15 countries, including North America, Latin America, the Middle East and North Africa. Flotek is based in Houston, Texas and its common shares are traded on the New York Stock Exchange under the ticker symbol “FTK.” For additional information on Flotek, please visit www.flotekind.com. Overview This role will play a key part in supporting the development of chemometric models through laboratory experimentation, spectral data analysis, and software-enabled data workflows. The candidate will combine hands-on analytical chemistry experience with technical and computational skills to generate high-quality calibration and validation datasets used in predictive model development. Working closely with the Chemometrics team, the candidate will operate and maintain analytical instrumentation, including NIR and Raman systems, apply sound experimental design and quality control practices, and contribute to the development of tools and applications that support chemometric model evaluation and deployment. Success in this role requires strong collaboration, scientific curiosity, and the ability to bridge laboratory data generation with analytical and software-driven solutions. Key Responsibilities Reporting to the Technical Manager, the Chemometrics - Analytical Chemist will be responsible for: • Designing and executing laboratory experiments specifically aimed at generating calibration and validation datasets for chemometric model development, • Operating and maintaining analytical instrumentation including NIR and Raman, • Applying sound sampling strategies, experimental design (DoE), and QC practices to ensure data quality and representativeness, • Constructing predictive models to translate spectra into usable data for our customers, • Developing software to improve the MATLAB ad Python Software Development Kits (SDKs) for the chemometrics team, • Developing applications to evaluate models after development and prior to development to field analyzers Skills and Knowledge • Ability to translate complex scientific concepts into practical, scalable software solutions, • Strong problem-solving and analytical thinking skills, with attention to detail, • Effective communication skills, with the ability to collaborate across technical and non-technical teams, • Working knowledge of chemometric modeling concepts and data analysis techniques, • Understanding of software development best practices, including version control, testing, and documentation Minimum Requirements • Bachelor’s degree in Analytical Chemistry, Chemistry, Chemical Engineering, or a closely related field, • Familiarity with instrumental analysis and spectroscopic experimental methods e.g., Raman and NIR spectroscopies, • Demonstrated software experience: proficiency in Python, R, or MATLAB for data analysis (coursework, research, or personal projects all count) Preferred Qualifications • Undergraduate research, co-op, or internship involving spectral data analysis, method development, or data pipeline work, • Experience with chemometrics platforms such as PLS Toolbox, The Unscrambler, or Solo+MIA, • Experience with APIs, RDBMS, NoSQL, Docker Containers and ReactJS. Flotek Industries is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender (including gender identity and/or expression), pregnancy, national or ethnic origin, age, disability, veteran status, or any other characteristics protected by applicable local, state or federal laws.

Yellowstone Local is looking for an Elite HubSpot Engineer ready to achieve greatness alongside a team of battle-tested sales pros that care a lot about being great. If you’ve ever opened a HubSpot portal and immediately known what’s broken, what’s redundant, and what will block growth, this role is for you. We need someone who can clean up the foundation and then build the engine. Better data, cleaner automation, sharper reporting, and workflows that make teams faster. The purpose is revenue growth through higher efficiency and better decisions. This is a partner role to the CEO and Sales Manager to drive strategy and execution, and it will expand beyond Sales. HubSpot touches how we run the whole business, marketing, recruiting operations, client success, and leadership reporting. This role will eventually support all of it. About Yellowstone Local Yellowstone Local helps home service companies hire better people with systems that work. We sell and deliver recruiting services in a recession-resistant market. We’re profitable, cash flow positive, and scaling. HubSpot is the spine of our growth and operations. Why this role exists Our HubSpot environment needs to produce revenue outcomes, not just store data. Right now, we have what most fast-growing companies end up with: duplicate records, redundant properties, inconsistent lifecycle logic, workflow clutter, and reporting that doesn’t match how the business actually runs. That creates drag. Drag creates missed follow-ups, confused teams, slow decisions, and revenue leakage. This role exists to remove drag and build a system that increases conversion, speed, and clarity across the company. What you’ll own Revenue impact through data integrity Deduplicate contacts and companies, normalize naming and domain logic, and harden record hygiene Audit and clean redundant properties, consolidate fields, remove dead properties, and enforce standards Establish governance rules so new properties, workflows, and segments don’t turn into chaos again Improve lifecycle stage, lead status, and pipeline definitions so the data reflects reality and supports forecasting Automation and workflow architecture that drives speed Audit workflows, remove broken logic, simplify where possible, rebuild where needed Build workflows that improve speed to lead, routing, follow-up, reminders, and handoffs Create clean segmentation and list logic so targeting is reliable and automation behaves correctly Reduce manual work for teams, while increasing consistency and accountability Dashboards, reporting, and operating rhythm Build dashboards that answer leadership questions and drive weekly execution Create role-based dashboards and custom views for SDRs, AEs, Sales Manager, leadership, and other teams as we expand support Implement reporting consistency across lifecycle, pipeline, conversion, activity, and retention metrics Establish a true single source of truth in HubSpot, so teams stop arguing about numbers Strategic partnership with leadership Partner directly with the CEO and Sales Manager to translate growth strategy into HubSpot execution Proactively identify bottlenecks and opportunities, then build fixes without waiting to be asked Drive initiatives end-to-end, scoping, building, documenting, testing, rolling out, and training Make tradeoffs clear, prioritize what moves revenue, and keep the system clean as the company scales AI and enrichment workflow support Use AI tools and data enrichment platforms like Clay to improve targeting, enrichment, routing, and personalization Design workflows that integrate clean data input, validation, and segmentation Explore automation that supports outbound productivity and operational efficiency beyond sales This role is for someone who can support more than Sales Sales is the immediate priority because that is where the fastest revenue impact exists. But HubSpot also supports how we run other parts of the business. This role will grow into improving systems for marketing operations, recruiting operations, client success, and executive reporting. You’ll help make the entire company faster and more aligned. What we value in this role Ownership and urgency You see problems and fix them. This role fails if you need constant task assignment to add value. System thinking You treat HubSpot as a living system. You build for consistency, scale, and long-term maintainability. Pragmatic execution You build what drives outcomes, then iterate. You do not overbuild for the sake of elegance. Data discipline You care about definitions, naming conventions, governance, and reliable reporting. You do not accept “good enough” data. Strong communication You can explain what you’re doing, why it matters, and what the tradeoffs are. You can push back when needed. Compensation and benefits Hourly pay: $6–$20/hour (depending on experience) This role offers high impact, direct collaboration with leadership, and long-term growth potential. Must-have experience 3+ years in Revenue Operations, Sales Operations, or HubSpot administration in a scaling company Deep hands-on HubSpot experience, including: Data model and property architecture Contact and company management, deduping, governance Workflows, lists, segmentation, and routing Dashboards, reporting, attribution basics, and funnel metrics Proven ability to clean and restructure a messy portal, not just maintain a clean one Experience partnering with senior leadership on growth execution Strongly preferred Experience in an outbound sales environment, SDR, and AE workflows Experience with Clay or similar enrichment and orchestration tools Familiarity with automation tools (Zapier, Make, webhooks, basic APIs) Experience designing lifecycle stage and lead status frameworks that teams actually follow You’ll thrive in this role if you: Take ownership proactively instead of waiting for tickets Enjoy untangling messy systems and improving what already exists Can translate strategy into clear execution inside HubSpot Prioritize effectively and drive projects independently end-to-end #orange

Req ID: 133783 Region: Americas Country: USA State/Province: Texas City: Austin Summary Join a world class team to create high end electronics cooling solutions for systems such as AI servers, switches, and accelerators. We work hard together to design at the leading edge of cooling technology. Must have at minimum 15+ years of experience in data center liquid cooling for high-power graphics processing units (GPUs). Strong engineering fundamentals are essential. As a member of the Hardware Product Development team, you have the ability to work in partnership with hardware, software, and thermal architects within and outside Celestica to define the best in class products. Detailed Description • Complete ownership of thermal design for various electronic products from thermal modeling, design, test, and design revision, until transfer to manufacturing., • Conduct thermal simulations, postprocessing, and analysis ranging from chip to facilities level to verify thermal feasibility, risk, and to inform your designs., • Maintain awareness of heat transfer hardware available from all sources, including how it operates and performs, its cost, and how it can be incorporated into our products., • Conceive and implement ways to enhance and extend operation of heat transfer hardware., • Consider the thermal aspects of chip packaging technologies., • Apply best-in-class fluid flow geometry and technology to cool high heat flux chips., • Determine and consider the effects of contact resistance and the use of Thermal Interface Materials., • Apply air cooling when possible and liquid cooling when necessary to achieve full performance and reliability at the lowest cost., • Size liquid cold plates, heat sinks, heat pipes, air movers, air filters, air ducting, and perforated plates., • Plan your work to achieve full required performance, and stay on schedule to support overall product development., • Reference real world limitations to inform your work, such as manufacturing methods and cost, reliability, variability of incoming parts, and tolerances on all specifications., • Perform hands-on lab tests of equipment from component to rack and facility level for design and model validation. Document thermal test plans, devise and build test stands, including technical support, cooling liquid supply, power delivery, metrology and instrumentation, compute workload, experiment control, and data recording., • Analyze test data to draw inferences about the equipment tested. Apply statistical methods as required to maximize utilization of data and test usefulness., • Work with multi-disciplinary groups to define system requirements and design products., • Work with cross-functional teams to identify root causes of system performance. Skills • 15+ years of experience in thermal systems engineering, preferably with direct experience in liquid cooling for high-performance computing or data, • Hands-on experience with manufacturing processes, supplier management, and technology transfer, • Strong understanding of liquid cooling–specific reliability, safety, and performance challenges Typical Education • Preferred: Master’s degree in Mechanical Engineering, • Required: Bachelor's degree in Mechanical Engineering Physical Demands • Duties of this position are performed in a normal office environment., • Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data., • Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required., • Occasional travel may be required. Notes This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time. Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines. Celestica is an E-Verify employer. Company Overview Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

$35 - $100/hourpayEViewsMacroeconomicsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

$45 - $65/hourpayAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Accountant Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Analyze and interpret complex marketing and financial data to identify key trends and insights., • Develop and implement standardized rubrics and frameworks to support AI model training and evaluation using domain knowledge., • Collaborate with cross-functional teams to ensure accounting accuracy and compliance within innovative technology projects., • Provide expert guidance on accounting principles to inform model development and data validation processes., • Document and communicate findings and recommendations clearly through exceptional written and verbal communication skills., • Continuously monitor industry best practices and integrate them into ongoing projects., • Support the customer's team in refining data-driven strategies by offering actionable accounting insights. Required Skills and Qualifications: • Bachelor’s degree in Accounting or a related field., • Minimum of 3 years of experience in accounting roles., • Strong written and verbal communication skills with attention to detail., • Proven experience analyzing data and applying accounting knowledge to solve complex problems., • Ability to create structured rubrics and frameworks for quantitative and qualitative analysis., • Comfort working in a remote, collaborative, and fast-paced environment., • Demonstrated capacity for critical thinking and independent problem-solving. Preferred Qualifications: • 7+ years of overall professional experience, preferably in diverse accounting environments., • Experience working with or supporting AI model development or related technology projects., • Advanced certifications in accounting or finance (e.g., CPA, CMA).

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The AI Platform Product team is building a scalable, enterprisegrade platforms that enables teams across the organization to develop, deploy, operate, and govern AI/ML solutions at global scale. The team focuses on providing reliable, secure, and reusable platform capabilities that support the full AI/ML lifecycle - from data and feature enablement to model training, deployment, monitoring, and optimization. The team partners closely with engineering, data science, product, and business teams to ensure AI capabilities can be delivered efficiently and responsibly across multiple use cases, including fraud, risk, authorization, and ecosystem protection. We are seeking a handson Product Analyst with experience across AI/ML platforms, datadriven product development, and GenAI prototyping. This role is ideal for someone who is technically grounded, productoriented, and adaptable, and can work across multiple problem spaces as priorities evolve. Key Responsibilities: Drive and support product requirements for AIP platform capabilities, working handson with engineering and data science teams. Contribute to roadmap execution across data platforms, AI/ML lifecycle, GenAI enablement, tooling, and observability. Translate business, data science, and platform needs into clear user stories, requirements, and acceptance criteria. Lead the product requirements for platform capabilities, working handson with engineering and data science teams. Translate business, data science, and platform requirements into clear Features, user stories, and acceptance criteria. Use data and platform metrics to inform product decisions, identify gaps, and support continuous improvement. Collaborate effectively across product, engineering, data science, MLOps, infrastructure, and governance teams in an agile environment for faster time to market Conduct product acceptance evaluations before launching it to the user teams and support adoption of capabilities. Apply handson coding skills to design and build AI/ML and Generative AI prototypes that can be evolved and deployed on scalable platform architectures. Collaborate effectively across product, engineering, data science, MLOps, infrastructure, and governance teams in an agile environment. Remain flexible and adaptable, supporting multiple product areas and priorities as the platform evolves. Understand data processing concepts at scale across onprem and cloud environments and apply this knowledge when defining requirements and tradeoffs. Own endtoend delivery of assigned platform initiatives from requirements through release and postlaunch validation. Contribute to documentation (requirements, release notes, FAQs, run books) to support stakeholders and enable smooth adoption of the AI platform. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications • 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD), • 2+ years of handson experience in product management or technical product roles, ideally focused on AI/ML platforms or datadriven products., • Strong exposure to AI/ML and Generative AI, with experience across:, • AI platforms, feature platforms and model workflows, • Large Language Models (LLMs), evaluations, and agentic systems, • Experienced on AIML platform on leading public cloud, AWS, Azure, GCP,Databricks, • Handson experience with GenAI prototyping, including use of APIs and basic coding (e.g., Python) to build proofs of concept or demonstrations, • Experience with applied GenAI (e.g., OpenAI, Anthropic) for prototypes and production., • Solid understanding of data concepts and data processing at scale, across cloud and onprem environments., • Experience launching or supporting products in a highly technical, matrixed organization., • Exposure to the payments industry or applied AI/ML use cases (fraud, risk, decisioning) or risk technology platform is a strong plus., • Strong problemsolving, communication, and collaboration skills., • Proficiency with software development methodologies such as Agile and experience working with Scrum teams and matrixed organizations. U.S. Applicants Only The estimated salary range for this positionis $110,700.00 to $ 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Every time someone taps, swipes, or clicks to pay- Visa infrastructure makes it happen in milliseconds, across 200+ countries. As a Software Development Engineer on the Product Reliability Engineering (PRE) team, you won't just watch those systems run- you'll be one of the engineers building, automating, and evolving them. PRE is not a traditional ops team. We are a software engineering organization that treats infrastructure as code, reliability as a product, and automation as a strategic advantage. You'll write Python, build agentic AI tools, manage data platforms, and contribute to the distributed systems that process billions of real-time transactions. From day one, you are an engineer- and from day one, your work matters. If you are endlessly curious about how large-scale systems stay resilient, obsess over elegant automation, and want to launch your career at the intersection of AI, infrastructure, and global financial technology - this role was built for you. Build Automation That Scales • Design and ship end-to-end automation for deployment pipelines, infrastructure provisioning, and release orchestration - code that runs millions of times so engineers never have to repeat themselves., • Write clean, production-grade Python (and Go or Bash where it counts) to eliminate toil, reduce manual intervention, and make systems self-managing., • Develop modular frameworks for release scheduling, validation, rollback, and reporting that integrate across the full software delivery lifecycle. Manage & Evolve Data Platforms • Support the build, deployment, and operations of relational database systems, contributing to schema design, architecture decisions, and solution engineering for critical payment data infrastructure., • Gain exposure to real-time event streaming architectures that support payment processing at scale, • Perform database health operations including patching, upgrades, backups, and recovery to maintain the availability and integrity of tier-1 production databases., • Optimize query performance through index tuning, execution plan analysis, and replication monitoring - targeting metrics like query execution time, CPU usage, and replication latency., • Automate database tasks and configuration management using tools like Ansible and Liquibase, and contribute to CI/CD pipelines that govern schema changes through TEST and PROD environments safely., • Build predictive and reactive monitoring dashboards for database anomalies, surfacing health signals before they become incidents. Ship Agentic AI & ML-Powered Tools • Build GenAI-powered engineering assistants that automate deployment orchestration, release governance, and environment lifecycle management., • Integrate LLMs into observability, incident response, and developer support workflows, transforming reactive operations into proactive, AI-driven intelligence., • Contribute to prompt engineering, model fine-tuning, and agentic automation initiatives that position PRE as one of the most AI-forward reliability organizations in financial technology. Own Observability & Platform Health • Build dashboards, alerts, and metrics using Prometheus, Grafana, Splunk, or ELK that give engineers real-time clarity on complex, globally distributed systems., • Analyze system performance and availability data and turn insights into infrastructure improvements that prevent incidents before they occur., • Contribute to self-healing and auto-scaling capabilities that keep critical payment infrastructure resilient without human intervention. Engineer for Reliability & Security • Ensure infrastructure and data platforms meet security and compliance standards across cloud-native deployments supporting global financial services at scale., • Support zero-downtime deployment strategies and high-availability architectures that Visa's partners and billions of cardholders depend on around the clock., • Participate in threat modeling, vulnerability remediation, and audit readiness activities as part of a team that treats security as a first-class engineering concern. Collaborate, Learn & Grow Fast • Embed within Agile squads, working alongside senior engineers, product managers, and global PRE peers across sprint planning, reviews, and release discussions., • Document runbooks, SOPs, and engineering guides that make the team smarter, faster, and more autonomous over time., • Participate in on-call rotations (with robust support structures and mentorship) to build the incident response instincts that distinguish great reliability engineers. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: • Bachelor's degree, OR 3+ years of relevant work experience Preferred Qualifications: • Bachelor's degree in Computer Science, Software Engineering, or a related technical field (2023-2025 graduates preferred; December 2025 graduates welcome)., • Solid foundations in data structures, algorithms, and systems design -you can reason about complexity, tradeoffs, and failure modes., • Proficiency in Python and comfort writing scripts or tools in at least one additional language (Go, Java, or Bash)., • Foundational understanding of relational databases (RDBMS): SQL, data modeling, query optimization, and database connectivity troubleshooting., • Familiarity with Linux/Unix environments and meaningful command-line fluency., • Exposure to cloud platforms (AWS, GCP, or Azure) and a conceptual understanding of containerization (Docker, Kubernetes)., • Understanding of CI/CD principles and how modern software delivery pipelines are structured and maintained., • Genuine curiosity about GenAI platforms and agentic systems (OpenAI, Anthropic Claude, LangChain, or similar)- hands-on exposure is a plus, intellectual interest is a must. Bonus Points: • Hands-on experience with infrastructure-as-code tools: Terraform, Ansible, or Pulumi -even from coursework, a capstone, or an internship., • Experience with database CI/CD tooling, particularly Liquibase for schema change management across environments., • Experience with observability tooling: Prometheus, Grafana, Splunk, ELK, or Datadog., • Database administration exposure: backup/recovery procedures, performance tuning, index management, or replication monitoring., • Familiarity with Git workflows and modern DevOps toolchains (Jenkins, GitHub Actions, ArgoCD)., • Academic or project experience with ML frameworks: scikit-learn, PyTorch, or LangChain / LangGraph., • Understanding of networking fundamentals: DNS, load balancing, service mesh, or TCP/IP., • A GitHub profile, personal project, hackathon entry, or open-source contribution that shows us how you think and build. U.S. Applicants Only The estimated salary range for this positionis $88,000.00 to $ 136,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Job Summary Visa is rapidly growingour Value-Added Services product portfolio across the globe, and the VAS Platform & Engineering organization is at the intersection of the numeroustechnologies, platforms and solutions enabling this growth. VAS Innovations team drives execution onour innovation, generative AI, and platform modernization efforts. This team is active in complex, multi-business stakeholder initiatives where innovative integration patterns are required, and emerging technologies are applied to enhance functionality and deliver more value to the market. The Staff ML Scientist will work with a team to conduct world-class research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to Visa's strategic vision as a world-leading data-driven company. The successful candidate must have strong academic track record and demonstrate excellent software engineering skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills. Key Responsibilities • Formulate business problems as technical data problems, ensuring key business drivers are captured in collaboration with product stakeholders., • Work with product engineering teams to ensure implementability of solutions., • Deliver prototypes and production code based on business needs., • Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems., • Build data transformations for structured and unstructured data., • Build and experiment with modeling and scoring algorithms, including development of custom algorithms and use of packaged tools based on machine learning, data mining, and statistical techniques., • Devise and implement methods for adaptive learning with controls on effectiveness, explainability of model decisions, model validation, and A/B testing., • Monitor and maintain model effectiveness and performance in production environments., • Automate all parts of the predictive pipeline to minimize labor in development and production., • Contribute to the development and adoption of shared predictive analytics infrastructure. Qualifications Basic Qualifications • PhD in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Machine Learning, Data Systems or related filed), graduating May 2025 - August 2026 Preferred Qualifications • Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus., • Experiences with one or more of the below topics: Natural Language Processing, Knowledge Graph, Time Series analysis, Generative AI, Large Language Model, Meta Learning, Reinforcement Learning, Image Processing., • Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Scala, Java, C++ or C#., • Experience with one or more common statistical tools such SAS, R, KNIME, Matlab., • Excellent understanding of algorithms and data structures., • Excellent analytic and problem solving capability combined with ambition to solve real-world problems., • Excellent verbal and written communication skills., • Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications, and communications that demonstrate professional judgment., • Relevant coursework in modeling techniques such as logistic regression, Naive Bayes, SVM, decision trees, or neural networks., • Deep learning experience with TensorFlow or PyTorch., • Experience working with large datasets using tools like Hadoop, MapReduce, Kafka, Flink or Hive is a plus., • The ability to take on challenges and address problems hands-on, • Strong ability to collaborate, • Highly driven, resourceful and results oriented, • Good team player and excellent interpersonal skills, • Good analytical and problem-solving skills, • Demonstrated ability to lead and navigate through ambiguity This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. U.S. Applicants Only The estimated salary range for this positionis $157,000 to $170,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

US Based Salary Range: $95,000 - $120,000 DOE Bonterra exists to propel every doer of good to their peak impact. We measure that impact against our vision to increase the giving rate as a percentage of GDP from 2% to 3% by 2033. We know that this goal is lofty, but we are confident that the right technology and expertise will strengthen trust in the sector, allowing the social good industry to accelerate growth and reach peak impact. Bonterra's differentiated, end-to-end solutions collectively support a unique network of over 20,000 customers, including over 16,000 nonprofit organizations and over 50 percent of Fortune 100 companies. Learn more at bonterratech.com. Key Responsibilities Sales Forecasting & Planning Own end-to-end bookings forecasting processes, including weekly, monthly, and quarterly forecasting cycles. Partner with Sales leadership to validate commit, upside, and risk, ensuring forecast accuracy and predictability. Maintain back-testing models and continuously improve forecasting methodology. Quota & Coverage Modeling Lead quota allocation modeling, coverage ratio analysis, and capacity planning. Support annual and mid-year quota cycles with data-backed recommendations. Build scenario models that inform AOP planning and compensation design. Bookings Validation & Data Integrity Own bookings validation and reconciliation processes across CRM, CPQ, and Finance systems. Ensure accurate classification of new logo, renewal, and expansion bookings. Maintain controls that ensure attainment calculations and reporting outputs are reliable and audit-ready. Revenue Operations Analytics Support pipeline health analysis, attainment tracking, and plan-to-actual variance reporting. Identify structural drivers of over- and under-performance and provide data-backed recommendations to Commercial leadership. Data Reporting and Visualization Create clear, consumable dashboards and reports in Amazon Quicksight and Excel that deliver actionable insights to stakeholders across Sales, Finance, and RevOps. Develop reporting that simplifies complexity and supports confident decision-making. Data Source Management Work closely with Sales Operations, Enterprise Applications, and Finance teams to ensure integrity and alignment across commercial data systems. • Assist in managing multiple data sources and ensure proper integration and synchronization, • Work with both structured and unstructured data while maintaining consistency and integrity, • Utilize Git for tracking changes in forecasting models, scripts, or configuration files, • Coordinate with data engineers or technical teams to ensure version control across databases, APIs, and reporting inputs Execution of Cross-Functional Initiatives Partner with cross-functional teams to implement improvements to forecasting processes, quota design, and planning rigor. Lead structured project sprints when necessary and measure impact of implemented optimizations. Strategic Recommendations Identify inefficiencies in sales planning processes, pipeline governance, and quota allocation. Develop data-driven recommendations that improve predictability, accountability, and performance. Communication of Insights Present structured, executive-ready summaries of forecast performance, quota design, and sales plan outcomes to Commercial and Finance leadership. Requirements - Need to Haves End-to-End Data Analysis Extensive experience analyzing raw sales and bookings data, building forecasting and planning models, and translating insights into actionable recommendations. Data Storytelling Ability to clearly communicate forecast assumptions, risks, and planning insights in a compelling and structured way. Experience presenting findings to senior leadership required; experience presenting to executive teams or investors a plus. Technical Skills • Fluency in Python and/or SQL (both preferred), • Advanced Excel skills (modeling, scenario analysis, complex formulas), • Experience with Salesforce and sales pipeline mechanics, • Experience with data visualization tools (PowerPoint required; Tableau, Power BI, or similar preferred), • Experience with Amazon Quicksight a plus Systems & Version Control • Experience working across CRM, CPQ, Finance, and reporting systems, • Familiarity with Git for managing scripts or model revisions, • Ability to ensure data consistency across multiple systems and inputs Collaboration & Adaptability Ability to build strong working relationships across Sales, Finance, and RevOps while operating in a fast-paced and evolving environment. Curiosity Demonstrated ability to ask thoughtful questions about forecast assumptions, pipeline drivers, and quota structures. Strong analytical mindset with a desire to understand root causes. Organization Comfortable managing multiple planning cycles, deadlines, and stakeholder requests simultaneously with strong attention to detail. Qualifications - Nice to Haves • 4+ years of experience in sales operations, revenue analytics, business strategy, or related fields, • AI experience - familiarity with AI-driven forecasting tools or automation workflows, • Strong understanding of B2B sales processes and commercial success metrics, • Experience in a SaaS environment At Bonterra, we're building AI-powered tools to solve real human challenges-and we want teammates who share that enthusiasm.We value people who will champion AI and bring diverse perspectives from different industries, backgrounds, and cultures. Together, we create AI that breaks down barriers, empowers communities, and delivers better outcomes. At this time, we are unable to consider candidates who require current or future sponsorship for employment authorization. At Bonterra, we're innovating with a higher purpose: to increase giving to 3% of US GDP by 2033, creating $573 billion more in global impact every year. At Bonterra, we foster an inclusive, equitable culture where every team member belongs and contributes to meaningful impact. Read more about our values and culture _ We offer a comprehensive benefits package that supports your health, well-being and growth - explore full details _ Compensation and benefits for this role apply to full-time employees in the United States and may vary based on local standards, laws and norms. Pay is determined by location, skills, experience, and education, and is one part of Bonterra's total rewards package, which may also include bonuses, incentives, equity, and a comprehensive benefits program. At Bonterra, we are proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We provide equal employment opportunities without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, veteran status, or any other characteristic protected by law. If you require a reasonable accommodation during the application process, please _

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Director, Customer Data Product Development is responsible for executing and implementing CRM data capabilities that enable consistent customer visibility and effective execution across Sales, Marketing, Client Services, and Finance. This role leads delivery of CRM data models, attributes, hierarchies, and integrations, ensuring CRM data is accurately aligned with the enterprise Customer Master and reflects how customer relationships are governed and operated in practice. This role owns the end-to-end design and delivery of data visualization platforms, analytics experiences, and reusable data components that enable consistent, accessible, and high-impact decision-making across the organization. The Director partners with business and technology teams to translate defined requirements into intuitive, scalable data experiences, working CRM data solutions, manage dependencies, and drive adoption, while ensuring data quality, consistency, and usability for downstream reporting and analytics. Essential Functions / Key Responsibilities Lead end-to-end delivery of customer data and analytics capabilities, including CRM data models, customer attributes, and insight-ready datasets. This would also include customer/account models, attributes, hierarchies, and reference data needed to support enterprise customer visibility. Own the design and evolution of analytics and data experience platforms that surface customer insights through dashboards, metrics, trends, and visualizations. Own CRM-to-Customer Master alignment, including mapping, survivorship rules/decisions, and ongoing data consistency across platforms and downstream consumers. Translate defined business requirements into implementable CRM data solutions (data model changes, integrations, enrichment, validation, and reporting readiness). Drive cross-functional delivery planning: scope, milestones, dependencies, risks, and execution across Product, Engineering, Data, and business stakeholders. Define and operationalize data quality standards for CRM data (completeness, accuracy, timeliness, consistency), including monitoring and issue remediation workflows. Establish reusable data and visualization components that improve consistency, speed of delivery, and adoption across teams. Partner with CRM platform teams to implement integrations, ensure appropriate data lineage, and reduce manual/duplicative data processes. Establish and maintain a clear operating model for CRM data changes (intake, prioritization, design review, release readiness, and change management). Enable adoption by partnering with Sales/Marketing/Client Services/Finance operations teams on training, communications, and measurable rollout plans. Provide leadership on tradeoffs and decisions across stakeholder priorities, balancing speed, quality, and enterprise consistency. Enable adoption through training, documentation, standards, and enablement for customer data products and analytics platforms. Collaborate with data governance teams to ensure customer data and analytics platforms consume trusted, well-defined, and compliant datasets. Communicate platform strategy, progress, and outcomes to senior leadership, balancing long-term platform investments with near-term business value. This is a hybrid position.Expectationofdays intheoffice will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: • 10 or more years of work experience with a Bachelor's Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD Preferred Qualifications: • 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD 7+ years of experience delivering data products or data capabilities in a CRM, enterprise data, analytics, or platform environment, including cross-team dependency management. Demonstrated ability to lead data platforms, analytics solutions, or insight products at scale. Strong technical fluency with data platforms, analytics, and reporting ecosystems. Strong stakeholder management and executive communication skills with experience influencing across Sales, Marketing, Client Services, Finance, and Technology organizations. Demonstrated experience implementing data models, attributes, hierarchies, and integrations in partnership with engineering and architecture teams. Proven ability to translate business requirements into scalable data solutions, including clear acceptance criteria and measurable outcomes. Experience driving data quality and operational data governance practices (standards, controls, issue management, and continuous improvement). Experience building analytics platforms, data visualization solutions, or reusable insight components. Experience working with enterprise Customer Master or customer identity resolution capabilities and aligning downstream systems to canonical customer and account definitions. Experience with CRM ecosystems and data integrations, including APIs, events, or ETL pipelines, and an understanding of frontline usage and reporting needs. Familiarity with data governance practices such as metadata management, reference and master data processes, lineage, and certification. Demonstrated success building adoption programs for data capability launches, including training, communications, measurement, and feedback loops. Experience operating in large, matrixed organizations with global stakeholders and complex change management requirements. Experience operating in large, matrixed organizations with complex data landscapes. Experience in applying emerging technologies, including AI-driven analytics, to customer data use cases. U.S. Applicants Only The estimated salary range for this positionis $173,100.00 to $ 276,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Description We're looking for a Senior Backend Engineer to build and scale the GenAI Lens backend platform. This is a production-focused role centered on MongoDB data design and performance, scalable/durable data ingestion and processing pipelines, and operating high-throughput systems with strong observability and reliability. You'll also help build and evolve our API layer (GraphQL and JSON-RPC). Experience with GraphQL is a strong plus, but the core focus is data systems and platform engineering. You should be comfortable working in a product that leverages modern AI technologies (embeddings, vector search, LLM integrations) and understand the practical standards that come with them-evaluation, guardrails, observability, and cost controls. Maintain and improve our data pipelines to keep data flowing reliably from ingestion to delivery Scalable, durable data ingestion and processing pipelines (event-driven, fault-tolerant workflows; retries, idempotency, backfills, and DLQs) Own data quality by implementing monitoring, alerting, and validation Design MongoDB schemas and query/index strategies for scale (aggregation pipelines, Atlas Search/vector search where relevant) JSON-RPC data layer service that powers GraphQL (designing/maintaining RPC methods, scaling throughput/latency, and evolving contracts safely) Support AI-adjacent platform needs (embedding generation workflows, provider abstractions, prompt/model metadata, evaluation hooks) Own backend services end-to-end, from design and implementation through deployment and production support Deliver scalable GraphQL resolvers with performance-aware patterns (batching, caching, pagination) Build and evolve the JSON-RPC data access layer for GraphQL, including method design, backward compatibility, and performance tuning. Own MongoDB performance: modeling, indexing, aggregation pipelines, and measurable latency/throughput targets Build reliable serverless/event-driven components (idempotency, retries, DLQs, backpressure, rate limiting) Improve reliability and operational readiness (SLO-minded engineering, incident response hygiene, runbooks) Partner closely with frontend, product, and UX to enable features cleanly and safely Drive code quality via testing, reviews, and CI/CD improvements Mentor engineers and influence engineering standards across the team Experience building and maintaining backend services in production Strong experience with GraphQL APIs (schema design, resolver patterns, authorization, performance) Strong experience with MongoDB (data modeling, indexing, aggregation pipelines; Atlas Search and Vector Search, sharding experience is a plus) Strong proficiency with Node.js and JavaScript / TypeScript Strong proficiency with Python (services, jobs, data processing, or tooling) Experience building on AWS, preferably serverless/event-driven architectures (Lambda, SQS/SNS/EventBridge, S3) Experience working with high-traffic or business-critical systems Solid understanding of performance optimization techniques (caching, async processing, data access patterns) Experience with Terraform for production infrastructure (IAM, networking, secrets, repeatable environments) Experience with testing frameworks and pragmatic test strategy (unit, integration, contract) Familiarity with CI/CD pipelines (GitHub Actions preferred; alternatives acceptable) Experience debugging, monitoring, and operating production systems Comfortable working in a distributed team environment Strong operational skills: logging, metrics, tracing, dashboards/alerts, and production support practices Cloud experience, preferably AWS, including: Lambda SQS / SNS / EventBridge / Kafka S3 CloudWatch API Gateway (where applicable) Experience with Infrastructure as Code, preferably Terraform Experience with private networking patterns (VPC, security groups, PrivateLink/VPC endpoints) is a plus Exposure to containerized workloads (EKS/Kubernetes) is a plus, even if the core architecture is serverless-first Prior experience leading projects, features, or technical initiatives Ability to influence architecture and design decisions Strong ownership mindset and ability to identify and execute improvements independently Familiarity with embeddings and vector search concepts, and the tradeoffs they introduce (latency, cost, relevance) Experience integrating with LLM/embedding providers via clean abstractions (timeouts, retries, fallbacks, rate limits) Awareness of AI industry standards/practices: prompt/version management, evaluation/regression checks, basic guardrails, and auditability Hands-on experience using AI tools to improve development workflows and code quality (e.g., Copilot, Claude Code, OpenAI-based tools) Ability to articulate how AI has improved development speed, quality, testing, or maintainability Experience building high-throughput services (e.g., millions of requests/minute class systems) and tuning concurrency/connection pools Experience designing "saved filter" or "materialized view" style performance optimizations for analytics/trends workloads Experience with multi-region data and compliance-minded architectures Experience refactoring legacy systems or consolidating services for efficiency and cost savings Help build a modern backend platform where quality and scalability are non-negotiable, enabling a high-impact product for the company with visible outcomes and real customer adoption. Work with cutting-edge technologies and modern AI tooling (embeddings, vector search, LLM providers, evaluation/guardrails) while staying grounded in strong backend engineering practices. Supportive, collaborative team culture-ideas are heard, discussed openly, and improved together as a group What We Offer: Enjoy comprehensive paid time off that allows you to have an enhanced work-life balance Excellent medical, dental, and vision options 401(k) matching, life insurance, commuter benefits, and parental leave plans Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters. Energetic work environment with a hybrid work style, providing the balance you need. Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. Total compensation range for this position: $188,000-$250,000 USD per year. Start Date :April 1st, 2026 Our Story: AtMeltwater, we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customersaround the world to make better business decisions through data. But we can't do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other's successes along the way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We're proud of our diverse team of 2,200+ employeesin50 locationsacross 25 countriesaround the world. No matter where you are, you'll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. Inspired by innovation, powered by people. Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world. We may use AI to assist in aspects of our hiring process, such as reviewing candidate information and supporting evaluation activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws.

Placement Type: Temporary Salary: $81.90-91 Hourly Start Date: Jun 28, 2026 Aquent is partnering with a leading financial services organization that is at the forefront of a significant technical transformation. This company is dedicated to modernizing its core technology infrastructure and challenging the status quo in the finance industry, ultimately building intelligent systems that directly impact millions of people's financial security. Are you ready to redefine the future of financial technology and make a tangible impact on critical systems? Aquent is seeking a visionary Senior AI Developer to join a dynamic team at the intersection of cutting-edge AI technology and complex financial domains. In this pivotal role, you will lead AI-focused workflows across the System Development Life Cycle, driving innovation and efficiency in how we build and deliver solutions. Your contributions will directly enhance the reliability and performance of systems that underpin our operations, ensuring a secure and seamless experience for our customers. This is an exciting opportunity to leverage your expertise to shape the next generation of financial technology and empower our mission. What You'll Do: As a Senior AI Developer, you will be instrumental in transforming our engineering practices and delivering high-impact solutions. You will: • Lead the integration and application of Generative AI coding assistants throughout the System Development Life Cycle, from implementation and refactoring to unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation., • Drive the adoption of AI assistance for common development tasks, including code suggestions, test generation, review support, and automation scripts, while maintaining clear ownership for correctness and quality., • Pioneer the use of Generative AI to reduce context switching and accelerate delivery across various workflows, extending beyond just writing new code., • Apply practical familiarity with leading AI coding tools within IDE/CLI-style workflows., • Develop and implement agentic workflows and spec-driven development methodologies, translating low-level design artifacts into structured specifications that guide AI-assisted implementation., • Establish team-level practices for effective AI-assisted development, including custom instructions and prompt engineering., • Contribute to the modernization of core technology infrastructure and play a key role in IT transformations from legacy to distributed platforms., • Collaborate with fellow developers, architects, and adjacent teams, fostering a culture of innovation and continuous improvement. Must-Have Qualifications: • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience., • 7+ years of professional software engineering experience actively developing large-scale software using Java, Spring framework, cloud development, and Web Services supporting high-volume transactions in a highly available environment., • 2+ years of hands-on experience with AI/ML implementation and production deployment., • 6+ years of experience working with containers and microservices in the cloud., • 6+ years of experience in cloud deployment within a continuous integration and continuous delivery (CI/CD) model., • 2+ years of experience with cloud platforms like AWS or GCP., • 2+ years' experience working with databases such as MongoDB, Aerospike, and/or PostgreSQL., • 2+ years prior experience in IT transformations and system modernization initiatives from legacy to distributed platforms., • Hands-on experience with Large Language Models., • Demonstrated exposure to, or hands-on experience with, Generative AI coding assistants used across day-to-day engineering workflows in the SDLC, applying engineering judgment and validation., • Working knowledge of agentic workflows, spec-driven development, and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development., • Understanding of broker-dealer capabilities and operations., • Excellent communication skills and a proven ability to communicate and lead other engineers in a collaborative environment., • Collaborative mindset coupled with a bias for action to effectively engage with fellow developers, architects, and adjacent teams. Nice-to-Have Qualifications: • Master's degree in Information Technology, Computer Science, or a related degree, or related practical experience., • Good knowledge of messaging technologies., • Experience in the Financial Services industry., • Experience in Test Driven Development, QA Automation, and a strong quality mindset and behaviors., • Proficient in developing diagrams, architectural and design documentations, functional and technical specifications, and automated test processes., • Willingness to learn all aspects of the tech stack and document findings., • Ability to research and document production and test environments along with architecture and design work., • Knowledge of Agile methodology and experience in an Agile working environment., • Experience with collaboration and project management tools. #LI-LP1 About Aquent Talent: Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

Job Role : Taxonomist/KM Manager Duration: 12 months Location: Hybrid in Austin, TX onsite 4 x weekly Preferred Qualifications: • Experience implementing or governing taxonomy/ontology programs in financial services, healthcare, or large-scale enterprise environments, • Familiarity with AI-adjacent knowledge representation - including knowledge graph integration with LLMs, RAG pipelines, or semantic search architectures, • Experience with localization or multilingual taxonomy design across multiple locales, • Exposure to Agile or DevSecOps practices in a data engineering or platform context, • Track record of building taxonomy/ontology programs from greenfield - defining scope, tooling, governance, and stakeholder buy-in, • Experience with authority control, entity resolution, or identity management Role Description by domains: Taxonomy & Controlled Vocabulary Design • Design, build, and maintain enterprise taxonomies, controlled vocabularies, and hierarchical classification systems across content and data domains, • Conduct content inventories, gap analyses, and requirements gathering to inform taxonomy structure and scope, • Define vocabulary standards, preferred/alternate terms, broader/narrower relationships, and cross-references aligned with industry standards (ANSI/NISO Z39.19, ISO 25964), • Develop and enforce metadata schemas and tagging guidelines to support consistent content classification across platforms, • Train stakeholders and content teams in taxonomy application and metadata best practices Ontology & Knowledge Graph Engineering • Design and implement ontologies using Semantic Web standards (RDF/RDFS, OWL, SKOS) to model domain knowledge and entity relationships, • Develop and maintain knowledge graphs that integrate taxonomies, ontologies, and instance data to support AI, search, and analytics use cases, • Create, validate, and govern ontology change requests; own ontology tooling requirements and process improvements, • Perform authority control and entity management for organizational entities (people, organizations, products, concepts), • Apply validation and reasoning standards (SHACL, SPIN) to ensure ontology integrity and consistency Knowledge Management & Information Architecture • Define and evolve the organization's knowledge architecture - the structures, systems, and processes that enable knowledge creation, classification, retrieval, and reuse, • Partner with data management, search, product management, ML, and engineering teams to implement standardized vocabularies and semantic models in data consumption experiences, • Map unstructured data to structured semantic models that integrate with data infrastructure and AI/ML pipelines, • Establish metadata standards, modeling guidelines, and data lineage documentation in collaboration with data governance and engineering teams, • Support knowledge organization workshops to align enterprise taxonomy and data models across business units Governance & Stakeholder Enablement • Develop and manage taxonomy and ontology governance processes, including change management, review cycles, and versioning, • Perform regular audits of information architecture to maintain compliance and optimize classification performance, • Write process documentation, governance standards, and training materials for taxonomy and metadata programs, • Serve as a cross-functional SME, bridging taxonomy design with data engineering, content strategy, and product teams, • Communicate ontology and taxonomy design decisions to both technical and non-technical audiences, including senior leadership Core Expertise Requirements • 5-7+ years in taxonomy design ontology engineering, knowledge management, or information architecture, • Demonstrated experience designing and governing enterprise-scale taxonomies and controlled vocabularies, • Proficiency with Semantic Web standards: RDF/RDFS, OWL, SKOS, SPARQL, SHACL, • Experience developing or contributing to knowledge graphs or ontology-backed data models, • Familiarity with metadata schema standards (Dublin Core, Schema.org, BIBFRAME, or domain equivalents), • Background in data modeling methodologies (conceptual, logical, physical; 3NF, Data Vault, XML Schema), • Experience with industry ontology frameworks relevant to the domain (e.g., FIBO for financial services, ISO 20022) Education • Bachelor's or Master's degree in Library & Information Science, Computer Science, Linguistics, Information Systems, or a related field, • Equivalent professional experience in knowledge engineering or taxonomy management accepted Proficiency Needed Tools & Technologies Ontology & Taxonomy Management • PoolParty Semantic Suite, • Protege, • TopBraid Composer / TopQuadrant products, • Palantir Foundry Semantic Web & Data Standards • RDF / RDFS / OWL / SKOS, • SPARQL, SHACL, SPIN, • Schema.org, Dublin Core, BIBFRAME, • FIBO, ISO 20022 (financial domain) Data & Engineering (Good to have - not needed per se) • Python, R, or equivalent scripting, • SQL / GraphQL, • GraphDB or equivalent triplestore, • Git / CI-CD pipelines, • JSON / structured data formats Content & Knowledge Platforms (Good to have - not needed per se) • CMS and DAM platforms, • Enterprise knowledge management systems

Position Summary The Innovation & Delivery Transformation team is building the future of our business. This is the group responsible for identifying, nurturing, scaling, and ultimately winning in new markets with new capabilities. We don't rely on what the firm has always done - we look to the future and invest where we know the growth will be 3, 5, 10 years down the road. The Innovation & Delivery Transformation Team collaborates with Industries, Offering Portfolios, Growth, and Delivery Transformation to curate and scale our Innovation Portfolio, grow through our Strategic Growth Offerings, identify and incubate the next generation of technology through our Technology Offices, and more. Together we are dedicated to fostering a top talent experience both within I&DT and throughout our firm by leading our Tech Talent Transformation. Within IDT, our Life Sciences Cloud (LSC) practice is launching a Managed Platform as a Service (MPaaS) offering - a comprehensive solution that bundles our proprietary QuickStarts platform with ongoing managed services to deploy, run, maintain, and continuously evolve client CRM environments. Unlike traditional project-based consulting, this offering is product- and operations-led: IDT owns the platform baseline, the delivery model, and the long-term client relationship. The Delivery Manager sits at the center of that mandate, managing a portfolio of biopharma client engagements, leading a team of direct reports, and serving as the primary authority for client governance, delivery oversight, and the ongoing evolution of client instances built on the QuickStarts baseline. Recruiting for this role ends on 08/01/2026. What You'll Do Client Governance & Executive Relationship Management Own delivery governance across a portfolio of active MPaaS client engagements, serving as the primary point of accountability for each Lead executive-level client relationships, facilitating steering committee meetings, status reviews, and strategic planning sessions Manage escalation pathways, proactively identifying risks and resolving delivery issues before they impact client outcomes Define and report on SLAs, KPIs, and operational health metrics, ensuring transparency and trust with client stakeholders Partner with Deloitte account leadership to support contract performance and client satisfaction within the managed service model Delivery Oversight Own end-to-end delivery accountability across the full MPaaS lifecycle: Deploy, Run, Maintain, and Evolve Oversee team execution across all phases including environment setup, configuration, testing, UAT, cutover, hyper-care, and steady-state operations Enforce the 90/10 delivery model - ensuring client instances remain aligned to the QuickStarts baseline while managing approved customizations within defined guardrails Drive release planning and coordinate 3x annual value-driven platform releases, aligning client readiness with new agentic and AI capabilities Maintain delivery rigor across risk registers, testing and validation approaches, integration execution, and documentation/training deliverables Team Leadership Directly manage and develop a team responsible for: Setting up client environments and deploying the QuickStarts package Tailoring configuration within the 90/10 delivery model Supporting testing, UAT, cutover, and hyper-care activities Running ongoing maintenance, releases, upgrades, and user support Performing operational data loads and client-specific enhancements Mentor team members and actively support their career growth within IDT and the broader LSC practice Participate in hiring and onboarding as the MPaaS offering scales across new clients and geographies Product Feedback & Platform Evolution Serve as a direct input channel into the QuickStarts product roadmap, translating patterns and pain points observed across the client portfolio into actionable product feedback Collaborate closely with the QuickStarts Product Lead to align platform capabilities with real-world delivery needs Help shape delivery methodology, operational playbooks, and toolkits as the MPaaS offering matures A strong successful candidate will possess these skills: Familiarity with emerging technologies such as Agentic AI, GenAI etc..and how delivery is evolving using these technologies Experience operating within or delivering managed services or subscription-based delivery models Working knowledge of the broader Life Sciences commercial technology ecosystem, including platforms such as Veeva Vault PromoMats, MuleSoft integration tooling, Cvent, Knipper, and other populate CRM integrations a plus Domain experience in biopharma or medtech commercial operations; experience in clinical or patient-facing contexts is a plus Experience contributing structured feedback to product or platform roadmaps based on delivery insights Experience directly managing people, including performance development, coaching, and team building Demonstrated ability to manage multiple concurrent client engagements or workstreams simultaneously The Team This role is aligned with our ConvergeHEALTH business, serving Deloitte's Life Sciences Sector by advancing research and development initiatives. ConvergeHEALTH is dedicated to creating digitally connected ecosystems through robust analytics platforms, immersive experiences, strategic industry partnerships, and premier consulting services, all with the unified vision of centering healthcare around patient needs. Qualifications Required Bachelor's Degree or equivalent experience Minimum 8+ years of professional experience in consulting, managed services, or a relevant Life Sciences industry role At least 3 years of experience leading client-facing delivery, including governance, executive relationship management, and escalation management At least 3 years of hands-on experience with Veeva CRM or equivalent Life Sciences commercial platforms (e.g., Salesforce Health Cloud, OCE), across personas such as Field Sales, Key Account Management, Medical Science Liaisons, or Field Reimbursement Management Ability to travel 25%, based on work you do and the clients and industries/sectors you serve Limited immigration sponsorship may be available The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 353905 Job ID 353905

We are Xebia - a place where experts grow. For nearly two decades now, we've been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more. We're passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland. Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology. Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects. Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise. What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes! Now, we've talked a lot about ourselves – but we'd love to hear more about you. Send us your resume to start the conversation and join the #Xebia. • Responsible for at-scale infrastructure design, build and deployment with a focus on distributed systems,, • Building and maintaining architecture patterns for data processing, workflow definitions, and system to system integrations using Big Data and Cloud technologies,, • Evaluating and translating technical design to workable technical solutions/code and technical specifications at par with industry standards,, • Driving creation of re-usable artifacts,, • Establishing scalable, efficient, automated processes for data analysis, data model development, validation, and implementation,, • Working closely with analysts/data scientists to understand impact to the downstream data models,, • Writing efficient and well-organized software to ship products in an iterative, continual release environment,, • Contributing and promoting good software engineering practices across the team,, • Communicating clearly and effectively to technical and non-technical audiences,, • Defining data retention policies,, • Monitoring performance and advising any necessary infrastructure changes., • Responsible for at-scale infrastructure design, build and deployment with a focus on distributed systems,, • Building and maintaining architecture patterns for data processing, workflow definitions, and system to system integrations using Big Data and Cloud technologies,, • Evaluating and translating technical design to workable technical solutions/code and technical specifications at par with industry standards,, • Driving creation of re-usable artifacts,, • Establishing scalable, efficient, automated processes for data analysis, data model development, validation, and implementation,, • Working closely with analysts/data scientists to understand impact to the downstream data models,, • Writing efficient and well-organized software to ship products in an iterative, continual release environment,, • Contributing and promoting good software engineering practices across the team,, • Communicating clearly and effectively to technical and non-technical audiences,, • Defining data retention policies,, • Monitoring performance and advising any necessary infrastructure changes.

Ace IT Careers is currently hiring motivated candidates for Remote Junior QA Tester opportunities supporting U.S.-based client projects across Healthcare, Banking, Telecom, and E-Commerce domains. This opportunity is ideal for: • Entry-level candidates, • Career switchers, • Recent graduates, • Candidates returning to IT, • Professionals looking to build a long-term QA Automation career Selected candidates will work in a structured project-readiness environment designed around current U.S. employer expectations and real-time QA workflows. ✔ Remote Work Opportunities ✔ Full-Time Openings ✔ U.S. Client Project Exposure ✔ Hands-On QA & Automation Experience ✔ Resume + Interview Preparation Support ✔ Mock Interviews Based on Real Client Scenarios ✔ Direct Client Marketing Assistance ✔ Flexible Batch Timings ✔ Career Mentorship from Industry Professionals Applicants may work with technologies such as: • Manual Testing, • Agile/Scrum, • Selenium with Java, • API Testing (Postman), • SQL Validation, • Test Case Design, • Defect Tracking, • Automation Framework Basics, • Jenkins CI/CD Exposure, • Real-Time Scenario-Based Testing To align candidates with current employer expectations and project requirements, selected applicants may go through a structured onboarding and project-readiness program before client submission. This includes: • Technical preparation, • Real-time project exposure, • Resume alignment, • Mock interview preparation, • Employer-focused QA workflow training Our team works closely with candidates throughout the process to help improve interview readiness and increase placement opportunities in the current competitive market. • OPT/CPT Candidates, • H4 EAD / L2 EAD, • GC / U.S. Citizens, • Career Gap Candidates, • Freshers Interested in IT, • Manual Testers Looking to Move into Automation, • Employer-focused preparation model, • Real-world interview guidance, • Dedicated marketing support, • Long-term QA career path, • Remote project opportunities, • Practical learning instead of only theoretical sessions Shortlisted candidates will be contacted by our recruitment team for: • Initial screening, • Career discussion, • Technical evaluation, • Project-readiness onboarding, • Client marketing process Apply now to start your QA career journey with real market-focused preparation and remote opportunities. Educational Requirements: • Degree in Computer Science, Information Technology, or a related discipline preferred but not mandatory., • Recent graduates or career changers with a strong interest in QA encouraged to apply. Technical Skills: • Basic knowledge of software testing concepts and methodologies; training will be provided., • Familiarity with remote collaboration tools and basic computer applications., • Exposure to any programming language or test automation tools is a plus but not required. Soft Skills: • Strong attention to detail and analytical thinking., • Effective communication skills for remote teamwork., • Self-motivated with the ability to manage time efficiently in a remote work environment., • Eagerness to learn and adapt to new processes. Other Requirements: • Reliable internet connection and a dedicated workspace for remote working., • Availability to participate in training sessions and full-time work afterward. Embrace the opportunity to grow and build your QA career remotely with Ace IT Careers! • Competitive Salary with performance-based bonuses., • Health Insurance covering medical, dental, and vision., • Remote Work Opportunities for flexible schedules., • Paid Time Off including vacation, sick leave, and personal days., • Career Growth with ongoing training, certifications, and mentorship., • Job Placement Assistance and networking opportunities., • Collaborative Work Environment with employee recognition programs.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for contextualizing data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! • Evaluate simulation test results to drive release & safety decisions., • Work independently with cross functional teams to develop software and system requirements., • Lead team code quality activities including design and code reviews., • Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations., • Provide technical guidance to team members. Success in this role typically requires the following competencies: • Expertise in analyzing high-dimensional simulation data., • Experience building ML prediction models., • Detail-oriented with a focus on validation, testing, and error detection., • Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May., • Excellent problem-solving skills with a meticulous approach to model architecture and optimization., • Ability to provide individual and team mentorship, including technical leadership for complex projects. Required • B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field., • 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning., • Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark)., • Demonstrated expertise in databases for data extraction, transformation, and analysis., • Proven experience building and managing large datasets and evaluations., • Hands-on expertise in architecting and training complex predictive machine learning models., • Prior experience in mentoring and supporting junior engineers. Desirable • Background in Autonomous vehicles, robotics, physics or related fields., • Hands-on experience working with simulation data. Benefits and Perks • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate., • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available., • Rich retirement benefits, including an immediately vested employer safe harbor match., • Generous paid parental leave as well as a phased return to work., • Flexible vacation policy in addition to paid company holidays., • Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our _! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $200,591 - $295,000 USD

We are seeking an experienced and certified Salesforce Administrator with strong expertise in Salesforce Platform Administration to join our technology team. The ideal candidate will own the day-to-day Salesforce Sales Cloud, Commerce Cloud, Data Cloud & Platform administration including (flows, permissions, data model, security, reporting). The Administrator will support sales and order processing business activities, data quality, and secure access as well as provide light development and analyst support as needed. This position is remote with occasional onsite travel WHAT YOU'LL BE DOING • Administer users, roles, profiles, permission sets, sharing rules, and security/SSO., • Design and maintain Record-Triggered, Scheduled, and Screen Flows; retire legacy automation., • Manage data models (objects/fields), validation, duplicate rules; perform secure data loads., • Build Reports & Dashboards for pipeline, forecasting, and activity hygiene., • Configure Sales Cloud (Leads, Accounts, Contacts, Opportunities, Products, Price Books, Quotes) as well as any customizations., • Maintain AppExchange packages; monitor org health, limits, login/setup audit trail, and API usage., • Coordinate sandboxes, change sets/SFDX packaging, UAT, and release notes; follow change control/CAB., • Experience Cloud (LWR) storefronts: manage themes/pages/navigation, permissions, and publishing., • B2B entities: maintain Buyer Groups, Catalogs/Categories, Products, Price Books/Price List Entries, Inventory, and Entitlements., • Storefront operations: configure carts/checkout, guest vs. authenticated access, and account-based pricing/availability and credit card checkout, • Data jobs: run and monitor catalog/pricing/inventory imports; troubleshoot failures., • Monitoring & integrations: track storefront errors/failed jobs, API limits, basic KPIs; coordinate payments/tax flows (e.g., Stripe, Vertex/Avalara)., • Collaborate with developers/integration teams; contribute small Apex/LWC updates under review., • Contribute development support where appropriate including Apex, LWC, API integrations and technical debugging, • Troubleshoot and resolve complex issues related to Salesforce, B2B Commerce Cloud, payment integrations and connected systems WHAT YOU BRING TO THE TABLE • Bachelor’s degree in an IT related field or equivalent work experience, • 10+ years’ IT experience (System Admin, Apps Development, Cloud Computing or a related IT field), • Minimum 5 years Salesforce administration experience required, • Experience Apex/LWC and CI/CD to partner with developers, • Hands-on Flows (fault paths, subflows), security model, reporting/dashboards, • Strong grasp of sales processes and data hygiene best practices, • Proficient with Data Loader/Workbench; sandbox/change management experience, • Clear communicator with Sales, Operations, Finance, and IT stakeholders, • Green Card or US Citizenship required CERTIFICATIONS • Salesforce Administrator (Required), • Advanced Administrator (Preferred) WHY YOU’LL LOVE IT • Iron Bow is rapidly growing and with growth comes opportunity for all. There is palpable energy and momentum across the company that is easy to tap into and be inspired by, • Be a part of organizational transformation. Now’s the time to join. Iron Bow is redesigning the customer and employee experience. This new approach elevates all and truly enables success PLEASE NOTE: This job description was updated on 2/20/2026 INTERVIEW PROCESS If selected to move forward, our interview process will be a combination of video and in-person visits including: • Initial video screening with the Talent Acquisition team (MS Teams), • Video interview with a technical panel including hiring manager – code review process, • Video interview with the Senior Director, • Finalists will be invited to an in-person interview in Herndon, VA. #LI-PD1 #LI-REMOTE

Job Code: MS 146155 Job Title: Senior Application Support Developer (Natural-VB6/.NET) (100% Remote) Client Job ID: MS 146155 Location: Jackson, Mississippi (Remote Option Available) Duration: 1 year 1 month 8 days (Until 09/15/2026) Primary Skills: • ASP.NET, .NET Framework (C#), • Expertise in Natural Programming Language, • Visual Basic 6 (VB6), • SQL, scripting (SQL/Natural), • Child welfare systems experience (MACWIS, CCWIS, or SACWIS preferred), • Legacy Natural code maintenance & modernization, • Subject Matter Expert (SME) on MACWIS & evolving CCWIS platform Job Description: The Mississippi Department of Child Protection Services (MDCPS) is seeking an experienced Senior Application Support Developer to support the modernization and transition of the Mississippi Automated Child Welfare Information System (MACWIS) to a modern technology platform. This role involves both supporting the existing production environment and contributing to the development of new features and migration efforts to the CCWIS-compliant system. Responsibilities include: • Maintenance, enhancement, and troubleshooting of legacy Natural code., • Data cleanup and de-duplication scripting (SQL/Natural)., • Data migration planning and validation., • Support for DMT validation and testing activities., • Participation in project meetings as a senior SME., • Acting as a technical bridge between legacy MACWIS and the new CCWIS platform. Required Skills/Experience: • 10+ years of experience in Natural, VB6, SQL programming., • Strong experience in ASP.NET / .NET (C#)., • Proven expertise in legacy system support, migration, and integration., • Prior experience with Child Welfare Information Systems (MACWIS/CCWIS/SACWIS)., • Strong understanding of child welfare processes (case management, intake, licensing, reporting)., • Excellent communication, problem-solving, and team collaboration skills., • Ability to act as SME and mentor junior developers. Preferred (Not Required): • Experience in child welfare modernization projects., • Knowledge of federal CCWIS compliance., • Experience with ADABAS. Other Details: Work Hours: Mon–Fri, 8:00 AM – 5:00 PM (occasional after-hours/weekend support required). Background Check: Standard background check required. Closing Date: 08/25/2025, 3:00 PM EST. Agency: Mississippi Department of Child Protection Services (MDCPS) Project Name: MDCPS – SR Developer – MIS SR International has been a leading name among the IT consulting companies with offices in US and India. For past 16 years, our industry experience and domain knowledge have enabled us to provide innovative solutions to our customers. Who We Are Today, the world of business information represents the realization of our collective efforts toward improving the future. Held only by the limits of our imagination, the business world is accelerating at an ever-increasing pace. Imagine a better way of doing business, of implementing the perfect software, of refining practice or business integration. All it takes are benchmark standards in service, support, and technical know-how, which have been our bread and butter. Our Vision. Established in 2002, SR International Inc is one of the fastest growing and reputed provider of Information Technology Services and Solutions in the USA. Since our inception, we have been a trusted IT partner for our clients. We take pride in our highly skilled IT Resources and unique engagement model. We have been consistently delivering on our promises as a high-performance team. Our expertise in Cloud Computing, Mobility, Web Technologies, ERP and CRM are second to none. Our industry-leading flagship product iMathSmart is re-defining math learning experience for school students. At SR International, we treat our consultants like family. Our business and our reputation have been built and maintained by quality resources working onboard, so it’s important for us to maintain the quality resource pool.

About the Company: At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. _, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team: Join our Product Engineering Team, where we work at the forefront of autonomous trucking safety. Our team collaborates across functional safety, systems engineering, and design teams to ensure that Functional Safety and SOTIF targets are met, reducing functional insufficiencies and ensuring a robust autonomous vehicle platform. We are seeking a Senior Systems Engineer who is experienced with Functional Safety and SOTIF and passionate about safety-critical systems, risk assessment, and verification & validation strategies. In this role, you will lead architecture development, safety assessments, risk analyses, and safety improvements, helping shape the future of autonomous trucking technology. What You’ll Do: As a Senior Systems Engineer, you will play a key role in evaluating and enhancing the safety and reliability of autonomous trucking systems. You will work with functional safety engineers, system engineers, and design teams to ensure that acceptance criteria are met and that autonomous systems operate safely and effectively under all conditions. • Collaborate with systems design and architecture teams to ensure safety considerations are integrated into autonomous trucking specifications., • Work closely with functional safety and system engineers to ensure safety targets are achieved in autonomous vehicle development., • Lead safety evaluations and guide engineers to meet acceptance criteria., • Identify functional insufficiencies and triggering conditions, providing risk assessment (HIRE analysis) and safety improvements., • Define areas for design improvement and collaborate with design teams to refine system specifications., • Develop verification and validation targets for known and unknown safety scenarios., • Support safety-related operational strategies, ensuring the safe deployment of autonomous vehicles., • Communicate safety achievement metrics and risk assessments to management and key stakeholders. What You’ll Need to Succeed: • Master’s Degree in Computer Science, Computer Engineering, Systems Engineering, or equivalent with 3+ years relevant experience OR Bachelor’s Degree in Computer Science, Computer Engineering, Systems Engineering, or equivalent with 6+ years relevant experience., • Strong knowledge of automotive, heavy-duty truck, or aerospace products and industries., • Experience with Model Based Systems Engineering and related software tools including Cameo., • Expertise in ISO 21448 (SOTIF) and ISO 26262 (Functional Safety) with a proven track record of applying these standards in complex engineering environments., • Excellent project management and leadership skills, with the ability to drive safety initiatives across cross-functional teams., • Strong analytical skills, with the ability to assess risks, derive safety requirements, and define verification & validation strategies., • Highly organized and capable of handling multiple projects in a fast-paced, evolving environment., • Strong interpersonal and communication skills, with the ability to collaborate effectively across engineering teams and leadership., • Detail-oriented, self-motivated, and able to work independently while also leading discussions and influencing stakeholders., • Comfortable working in an environment of ambiguity and rapid change, with the ability to quickly adapt and make informed safety decisions., • Ability to ethically handle sensitive and confidential information with impartiality and professionalism. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • A competitive compensation package that includes a bonus component and stock options, • 100% paid medical, dental, and vision premiums for full-time employees, • 401K plan with a 6% employer match, • Flexibility in schedule and generous paid vacation (available immediately after start date), • AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits Job ID: R-102613 Hiring Range for Job Opening US Pay Range $139,000 - $166,800 USD

About the role: Samsara’s Revenue Operations AI & Data Team is building the future of how we go to market — with intelligence, personalization, and speed. We’re a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message — and to put everything they need at their fingertips, whether that’s data from Salesforce, context from a past call, or content that wins deals. As a Senior Software Engineer, AI Platform, you’ll lead the design and development of core platform capabilities that power Samsara’s next generation of AI-driven experiences. You’ll focus on building scalable, reliable systems that enable multi-step AI workflows, model execution, and integrations across products, rather than individual features. This role sits at the intersection of distributed systems and applied AI, where correctness, extensibility, and operational excellence matter as much as speed. You’ll partner closely with AI engineers, backend engineers, and cross-functional teams to shape shared execution patterns, define platform contracts, and evolve the foundations that support S+Engine and future AI use cases. You’ll be empowered to make architectural decisions, move fast on early iterations, and help turn emerging AI capabilities into a durable, production-grade platform that other teams can build on with confidence. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: • You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment., • You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: • Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Samsara., • Design and implement shared execution patterns, APIs, and services that support multi-step AI workflows and system integrations., • Develop reliable, extensible backend systems that power AI-driven experiences used across the sales funnel and beyond., • Work hands-on across the stack, from backend services and execution infrastructure to integration with AI models and tooling., • Collaborate closely with AI engineers, data scientists, product partners, and sales operators to turn emerging AI use cases into production-ready platform capabilities. Minimum requirements for the role: • 6+ years of professional software engineering experience (excluding internships/contract roles), with a strong emphasis on building and operating large-scale, production backend or platform systems., • Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services., • Experience designing or implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines., • Proven experience designing and implementing distributed systems that support multi-step execution, asynchronous workflows, and well-defined service contracts., • Strong proficiency in backend programming languages (e.g., Python, Java, Go, or similar) and experience building reliable services with clear input/output schemas., • Expert in Python and GenAI frameworks (e.g., LangChain, OpenAI SDK, MCP, etc.), • Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries/fallbacks, and basic evaluation or monitoring approaches., • Strong product sense and ability to work in fast-paced, cross-functional environments., • Located in and authorized to work in the United States (this is a fully remote role). An ideal candidate also has: • Experience working on AI products in a sales, go-to-market, or revenue operations context., • Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM/enablement platforms., • Experience integrating with vector databases, retrieval systems, or streaming voice/chat pipelines., • A track record of leading major technical initiatives or mentoring engineers in high-growth teams., • Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management.

Runpod is the foundational platform for developers to build and run custom AI systems that scale. With over 500,000 developers worldwide and an annual recurring revenue run rate exceeding $120M, Runpod operates at the intersection of developer velocity and production-scale AI. Founded in 2022, we’ve grown rapidly by building infrastructure purpose-built for modern AI workloads. Our platform enables teams to move from experimentation to deployment with flexibility across cloud, on-prem, and hybrid environments. As a remote-first, globally distributed company, we are building the infrastructure layer that powers the next generation of AI systems. This role sits within Runpod's Marketing team, which is responsible for scaling Runpod's organic acquisition through content, SEO, and answer engine optimization (AEO). The team works closely with Product Marketing, Engineering, and Product to ensure that every piece of content we publish is technically accurate, useful to developers, and aligned with how both humans and LLMs discover and evaluate infrastructure tools. We're building a programmatic content engine that compounds over time, and this role is central to making that engine reliable. We're looking for a technical, detail-oriented contractor to help build and operate a programmatic content engine focused on high-intent, structured content: GPU comparisons, model pages, infrastructure explainers, FAQs, and pricing concepts. This is not a traditional content-writing role. The core challenge isn't generating text. It's verifying correctness, maintaining technical integrity, and ensuring content can be trusted by both developers and LLMs. You'll work closely with Runpod's growth and product marketing teams to expand our programmatic content footprint, validate AI-assisted outputs for technical accuracy, and help establish quality standards and review workflows that scale. This role will be a 20-30 hour per week contractor. Programmatic content engines are easy to build. Correct, defensible content is what sets them apart. This role exists because we're investing in quality as a competitive advantage, and we need someone who can act as a quality gate with real autonomy. You'll have ownership over a system that compounds over time, directly shaping how developers and AI systems discover, evaluate, and trust Runpod's platform. Responsibilities: Programmatic content production and QA • Produce and QA programmatic, structured content at scale (GPU comparisons, model explainers, infrastructure FAQs, pricing concepts)., • Use AI tools to generate first drafts efficiently, then critically evaluate and correct them., • Identify hallucinations, incorrect assumptions, outdated claims, or vague language. Fix them without escalating every decision. Technical validation • Validate technical claims related to GPU hardware, AI/ML models, cloud infrastructure, and serverless and distributed systems., • Flag edge cases where content should not be published due to uncertainty or ambiguity. Process and systems development • Follow clear content templates, schemas, and guardrails while improving them over time., • Help document and refine the programmatic/AEO engine so it's repeatable and scalable. Cross-functional collaboration • Collaborate asynchronously with marketing, product, and occasionally engineering via Slack. Requirements: • Technical background or strong hands-on familiarity with cloud infrastructure, AI/ML workflows, GPUs, compute pricing, or distributed systems., • Ability to independently verify technical accuracy using documentation, benchmarks, product specs, and APIs., • Experience working with AI tools (ChatGPT, Claude, etc.) with a critical eye, not blindly trusting outputs., • Comfort operating inside templates, spreadsheets, CMSs, or structured content systems., • Strong written communication skills: clear, concise, and precise., • High attention to detail and low tolerance for sloppy or misleading content., • The judgment to know when something is "good enough" vs. "dangerously wrong.", • Successful completion of a background check. Preferred: • Previous experience with programmatic SEO, AEO, or large-scale content systems., • Developer, ML, or infrastructure-adjacent work experience., • Familiarity with how LLMs consume and surface content., • Experience reviewing or editing technical documentation., • Light scripting, SQL, or data comfort. What This Role is Not: To set clear expectations: this is not a generic SEO content writer role, a keyword-stuffing operation, or a "publish whatever the model says" workflow. This is not a junior role requiring heavy hand-holding. Accuracy matters more than volume. Trust matters more than speed. What You’ll Receive: • Competitive hourly rate of $40–$60/hour, depending on experience, • Part-time engagement to start, with potential to expand., • Fully remote, async-friendly, outcome-focused working environment., • Real ownership over a system that compounds over time., • Join a passionate team on the cutting edge of AI infrastructure, where culture, learning, and ownership are at the heart of how we scale. Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. We are looking for a highly capable and independent Product Manager to help define the future of applications in life sciences in this new quantum era. As a member of the product organization, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computing solutions to solve the world’s most complex problems. Specifically in the product team for quantum applications, you will be identifying and assessing different use cases where quantum computers fit into computational workflows in the life sciences and other industries. Product Management in quantum computing is no different from any other field, with the exciting difference that you get to be among the first people in history ever to build it. Quantum computers and quantum applications rely on cutting-edge technologies across diverse engineering disciplines, including Machine Learning, Artificial Intelligence, data analysis, and a hybrid execution model that relies on both quantum computers and classical computing resources such as High-Performance Computing. Having interest and experience in these fields will serve you well at IonQ, but we don’t expect you to be an expert in any of them. You mostly need to demonstrate intellectual curiosity, work well with highly specialized experts, bring in your expertise in computational workflows across life sciences, and manage a coherent point of view of what’s important to our end-users and how we might build a thriving applications business. This also includes conducting market analysis, revenue opportunity estimations, channel analysis, working with customers on consulting projects and overall business planning. This is a unique opportunity to significantly impact IonQ’s market success and drive the broader quantum computing industry as it transitions from a vision into reality. Responsibilities: • Quantum application strategy development for life sciences and other industries that require continuous knowledge building, market intelligence, and strategic business analysis, including:, • Technology mastery: Develop and maintain a thorough understanding of IonQ’s quantum computing offering (hardware, software, and unique advantages) and its technical considerations, as well as the quantum ecosystem players, • Targeted life sciences strategy: Identify, prioritize, and articulate the short-term and long-term potential of quantum applications specifically within the life sciences (including pharma, biotech, chemicals, healthcare, etc.), factoring in your knowledge and expertise about industry-specific computational workflows., • Objective business case development: Evaluate the attractiveness of identified quantum applications by conducting a rigorous business analysis for each opportunity including TAM/SAM, estimated bottom-up P&L analysis, key customer segments and their computational pain points, scaling channels, and alignment with IonQ’s hardware roadmap based on resource estimates in life sciences and in other industries., • Customer engagement and consulting delivery includes direct customer interaction, technical and business validation, and translating opportunities into executable plans:, • Strategic customer consulting: Lead customer discovery workshops and deliver custom consulting projects to uncover and advance new quantum application opportunities, with a mandate to explore and pursue applications both in life sciences and across diverse sectors., • Feasibility due diligence: Ensure the strategic and technical viability of proposed applications by collaborating with quantum applications engineering experts to synthesize and document the near-term and long-term technical feasibility levels., • Customer quantum roadmap development: Partner with lead customers and internal engineering teams to build customer-specific application roadmaps by validating key business assumptions through primary research, including expert interviews across industry and academia. Map the problem to quantum algorithms and resource estimates, based on IonQ’s technology roadmap, and integrate resulting insights with the customer’s long-term business strategy and plans., • Cross-functional collaboration and product advocacy to drive internal and external alignment and drive commercial success:, • Implementation leadership: Serve as a key liaison between customers/ partners and internal engineering teams to navigate implementation, technical hurdles, and advocate internally for solutions that optimize customer success and delight. This includes translating quantum application requirements to hardware and Product Requirements Documents (PRDs), • Go-to-market input: Collaborate closely with the sales, marketing, and other business teams to inform proposals in the sales funnel (e.g., translating customer needs to quantum applications and algorithms), provide input on pricing strategy, business models, product positioning, and competitive analysis You’d be a good fit: • 8+ years of professional experience or an equivalent combination of education and experience, • Have experience in computing workflows across life sciences (computational chemistry, logistics optimization, imaging analysis, etc.), • Capable of establishing fruitful relationships with existing and future customers, leading to the type of insights required for developing solutions for their current and future needs., • Have significant experience managing complex market analysis projects (including industry landscaping) with significant ambiguity and partial information., • Comfortable dealing with advanced technologies, even if you have clear knowledge gaps, while collaborating with a broad range of engineering experts and scientists to achieve product goals., • Capable of organizing requirements and priorities despite ambiguity - drive results, and form plans for validating product ideas that offer clarity., • Enjoy and have practice collaborating with multiple business, research, and engineering teams to drive concrete results. You’d be a great fit: • Technical degree in life sciences (e.g., chemistry, pharmaceuticals) with a focus on computational methods, • Worked in or closely with computational scientists in the pharmaceutical, chemical or biotech industries and have a very deep technical understanding of the computational tools and workflows as well as AI/ML models used in these industries., • MBA degree with real-world experience putting your business education into practice, especially in coming up with business analysis for the purpose of investment (estimating ROI with partial information)., • Basic experience and/or understanding of quantum computing hardware and/or software (again, not a must)., • Practical experience with diverse computer science techniques and technologies such as Machine Learning, Artificial Intelligence, Machine Vision, High Performance Computing, optimization algorithms, etc., • Experience being part of an entrepreneurial team, building a new category and businesses from scratch, and making products/services successful in their marketplace., • Experience running market sizing exercises, for example, in a platform-focused product management role, management consulting, or a venture capital role., • Contributed to the identification and segmentation of markets for novel advanced technology where the market is nascent, and data is limited., • Strong foundational knowledge about science in general, enough to converse and engage with scientists on a broad range of topics. Location: This position is remote, with a preference for candidates based on the US East Coast or within Europe—specifically Sweden, the UK, or Switzerland. Travel: Up to 25% travel between Canada, US, Sweden, UK (and other European destinations) Job ID: 1268 The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at _. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our US benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance! IonQ's HQ is located in College Park, Maryland, just outside of Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, Toronto, Canada, and Basel, Switzerland. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

At Serko, we believe something incredible happens when people come face-to-face. That’s why we’re on a mission to engineer a frictionless, next-generation business travel marketplace. We don’t just manage travel; we are leveraging advanced AI and cutting-edge tech to eliminate the complexity of global movement. When you join Serko, you join a global collective of passionate technologists who show up as their true selves to build world-class products. With established hubs across New Zealand, Australia, North America, India and China - your code and ideas will impact millions of corporate travelers worldwide. If you're ready to challenge the status quo and build the future of travel tech, your next journey starts here. In this role, you will champion the developer experience by building the internal platform and tooling that every AI engineer at our company trusts and relies on. You’ll craft intuitive dashboards, user-friendly CLI tools, clean APIs, and elegant automation. We’re hiring 2 x Senior Full Stack Engineer to own the end-to-end development of our next-gen AI products. Your work will ensure that deploying and operating AI models is a seamless, safe, and empowering self-service journey, allowing our entire engineering community to thrive and scale together. What You’ll Do Craft Beautiful Internal UIs: Develop intuitive and accessible internal platform interfaces—such as dashboards, model registries, and experiment trackers—using React and Next.js to elevate our internal developer experience. Nurture Backend Infrastructure: Design and support reliable backend services and APIs in Python, ensuring our application teams can seamlessly tap into the platform's full capabilities. Build Safe, Sustainable Automation: Create and refine thoughtful automation for model deployment, rollbacks, and scaling workflows using scripts, APIs, and Infrastructure as Code (IaC), embedding safety and predictability into every release. Cultivate System Visibility: Weave monitoring and observability tools (such as Grafana, Prometheus, DataDog, and LangSmith) directly into the platform, giving our teams the clarity and insights they need to succeed. Champion Code Quality & Trust: Write comprehensive testing, evaluation, and validation logic for machine learning pipeline components to ensure high reliability and product excellence. Partner with Internal Teams: Act as a supportive resource for our internal engineering community, listening to their experiences and gathering empathetic feedback to continuously iterate on our tooling. Share Knowledge Generously: Foster a collaborative environment by documenting systems clearly and contributing to engineering wikis and runbooks so that the entire team can grow together. What you'll bring We believe that exceptional engineering stems from continuous growth and diverse experiences. We are looking for a collaborative partner who has spent 5+ years honing their craft in full-stack engineering and wants to make a lasting impact on our developer community. You will be a great fit if you bring: Core Backend Comfort: A deep comfort with Python, paired with hands-on experience building dependable backend services and clean REST APIs. An Eye for Internal Tooling: A genuine appreciation for crafting responsive dashboards and internal tools using TypeScript and React. Production AI Experience: Experience caring for and managing machine learning-based applications within a live production ecosystem. Cloud & DevOps Literacy: A foundational comfort navigating cloud platforms (AWS, GCP, or Azure), alongside a basic understanding of Docker and Kubernetes. A Collaborative Spirit: A history of working hand-in-hand with data or machine learning engineering teams, respecting and learning from different technical perspectives. Understanding of System Flow: A solid foundational understanding of databases, job queuing systems, and asynchronous workflows. Creative Problem-Solving: A natural curiosity and comfort when facing open-ended or ambiguous technical challenges, with the ability to turn abstract ideas into structured, clear steps forward. At Serko, we aim to create a place where people can come and do their best work. This means you’ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: • A competitive base pay, • Medical Benefits, • Discretionary incentive plan based on individual and company performance, • Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways, • Flexible work policy, • The pay range is between $152,000 - $230,000 USD as a base salary offering annually. A Note on Work Authorization: Applicants must be authorized to work for any employer in the U.S. At this time, we are unable to provide sponsorship or assume sponsorship for employment visa status (e.g., H-1B visa status).

About the Position The Principal, Consultant is a senior-level technical leader responsible for delivering complex, multi-discipline projects and serving as a trusted subject matter expert within your discipline. You may serve as the Project Lead on selected projects, where you’ll be accountable for delivering work profitably, maintaining alignment with scope, and evaluating project health regularly to identify risks early and keep work on track. You’ll lead discipline-specific design efforts, elevate quality, and ensure coordinated, high-performance project delivery across teams. You’ll document client-specific processes and deviations from TEECOM standards to support onboarding, delegation, and consistent delivery. You’ll strengthen TEECOM’s foundations by modeling best practices, contributing to discipline documentation, authoring Pull Requests, and supporting improvements to tools, standards, and workflows. You’ll collaborate closely with Group Leads, Team Leads to ensure consistent application of standards and to resolve challenges. Externally, you’ll cultivate strong client relationships—serving as a trusted technical advisor through clear communication, reliable execution, and sound engineering judgment. You’ll also contribute to pursuits and interviews, shape technical narratives, and participate in client discussions that strengthen TEECOM’s credibility and help win strategic work. Internally, you’ll mentor engineers and production team members by providing technical guidance, design reviews, and actionable feedback that improves project outcomes and supports their growth. While not a people manager, you play a key role in developing TEECOM’s capability and strengthening discipline excellence. This position reflects strong technical expertise, reliable project leadership, disciplined execution, and a commitment to strengthening TEECOM’s standards, systems, and delivery. • As a Principal, Consultant, your impact comes from strong technical leadership, supporting the development of others, and contributing to improvements in TEECOM’s systems and discipline practices. You contribute in three key ways:Technical Leadership, • You elevate project outcomes by leading technical decisions and ensuring design quality, coordination, and documentation meet TEECOM’s standards., • You guide Designers, engineers, and production team members by providing clear rationale, helping them navigate design challenges, and reinforcing disciplined workflows., • You build trust with clients through clear communication, reliable follow-through, and a strong command of your discipline.Mentor and Support Engineers, • You strengthen project teams by coaching engineers and Designers, developing their judgment, and helping them improve design clarity and documentation quality., • When serving as a Mentor, you broaden your mentee’s experience by involving them in client conversations, site walks, design reviews, and documentation discussions., • You accelerate their growth by setting clear expectations, delegating meaningful work, and providing timely, constructive feedback—including through participation in quarterly performance assessments.Improve the TEECOM System, • You reinforce firmwide consistency by contributing to discipline standards, templates, and documentation through clear, well-organized Pull Requests., • You identify workflow or coordination gaps and propose improvements that enhance clarity, efficiency, and scalability., • You capture client nuances, lessons learned, and best practices to strengthen onboarding, delegation, and cross-team alignment., • You deliver coordinated, accurate, and well-documented discipline-specific and multi-discipline work on time, on budget, and to TEECOM’s quality standards., • You identify risks early, communicate them clearly, and make sound decisions that minimize rework and maintain project momentum., • You maintain strong utilization and contribute to financially successful projects within the scope and expectations set by the Project Lead or Group Lead., • You keep project documentation complete, accurate, and current—including design decisions, meeting notes, scope clarifications, and updates to the Design Decision Log (DDL)., • You build client trust through clear communication and reliable follow-through, supporting pursuits by providing scope input, drafting or refining discipline fee proposals, and participating in interviews when needed., • You actively participate in client relationship development through networking events and conferences, direct outreach to clients and partners, and sharing intel gathered through documented interactions., • You strengthen TEECOM’s system by offering constructive feedback on templates, tools, and workflows and by contributing targeted Pull Requests that improve clarity and consistency., • You mentor Designers, engineers, and production team members through hands-on guidance, markups, and feedback that build judgment and strong documentation habits., • When paired as a Mentor, you meet regularly with your mentee, involve them in meaningful project activities, delegate with clear expectations, and contribute performance input to support their development., • You contribute to team and discipline knowledge through design reviews, internal discussions, and sharing lessons learned., • You stay current with industry trends and manufacturer updates and share relevant insights with your teams., • You collaborate effectively with Project Leads, Group Leads, and cross-discipline teammates to resolve coordination issues and support high-quality delivery., • You model TEECOM’s Core Values—Care, Trust, and Value—through communication, documentation, teamwork, and technical execution., • You are recognized by your teams as a reliable contributor whose work elevates design quality and project outcomes., • These responsibilities and expectations represent what is required to successfully perform the essential functions of this role.Annual and Quarterly, • Partner with Project Leads, Group Leads, and Team Leads to strengthen delivery consistency, coordination strategy, and discipline standards across projects., • Maintain visibility into project financial performance, scope alignment, and delivery health—identifying risks early and recommending adjustments that protect profitability and predictable outcomes., • Contribute to annual business planning by identifying client needs, emerging opportunities, and discipline trends that inform TEECOM’s strategy., • Support client relationship development through business reviews, strategic discussions, and participation in pursuits that strengthen long-term partnerships., • Lead or contribute to technical design reviews and QA/QC efforts that reinforce TEECOM standards, documentation clarity, and coordinated delivery., • Strengthen TEECOM’s system through targeted Pull Requests, documentation updates, and captured lessons learned that improve discipline workflows and scalability., • Collaborate on workload forecasting, resource planning, and delivery standards that support cross-team alignment and delivery predictability., • Contribute to discipline knowledge-sharing through training sessions, internal workshops, conferences, or TEECOM University participation., • When serving as a Mentor, provide structured performance input and development guidance that strengthens technical growth and leadership readiness.Monthly and Biweekly, • Lead discipline design, coordination, and documentation efforts—ensuring alignment with TEECOM standards, client expectations, and project objectives., • Maintain visibility into project schedules, staffing assumptions, and scope alignment—adjusting plans as needed to protect quality, profitability, and delivery momentum., • Lead or participate in key client and coordination meetings, documenting critical decisions, risks, and deviations in the Design Decision Log (DDL) and project tools., • Conduct or contribute to design reviews and QA/QC efforts that reinforce coordination integrity and technical excellence., • Advance discipline standards and workflows through targeted Pull Requests and documentation updates that improve clarity and onboarding consistency., • Support pursuits by refining discipline scope assumptions, technical strategies, and fee inputs to align with delivery realities., • Maintain financial accountability by supporting billing clarity, scope validation, AR follow-up, and accurate time and expense reporting., • When serving as a Mentor, delegate meaningful responsibility, provide structured feedback, and reinforce technical judgment and documentation discipline.Weekly and Daily, • Maintain alignment across projects by participating in coordination, client, and internal team meetings—clarifying priorities, surfacing risks early, and supporting forward momentum., • Lead technical guidance through design reviews, markups, and real-time feedback that strengthen coordination, documentation clarity, and delivery quality., • Maintain disciplined documentation across GitHub, Asana, Callback One, and the Design Decision Log (DDL)—ensuring decisions, client nuances, and coordination outcomes remain clear and traceable., • Support pursuits and active project work by refining scope assumptions, design strategies, and technical direction that align with TEECOM standards and client expectations., • Communicate proactively with clients, design partners, and contractors to resolve issues, maintain alignment, and keep projects moving forward., • Monitor project health—including scope alignment, schedules, deliverable quality, and coordination readiness—and recommend adjustments when risks emerge., • Execute discipline design, coordination, and technical decision-making with strong judgment while reinforcing TEECOM workflows and documentation practices., • Maintain accurate time, expense, and project updates that support forecasting, billing, and delivery visibility.As Needed, • Support Additional Service Agreements (ASAs), scope adjustments, and proposal development to maintain alignment between delivery realities and contractual expectations., • Strengthen client relationships by participating in strategic discussions, industry events, and outreach that supports long-term partnerships and future opportunities., • Contribute to recruiting, mentoring, and team development through interviews, coaching, and participation in internal initiatives that strengthen TEECOM’s discipline capability., • Conduct site visits, field verifications, and programming sessions as required, documenting findings clearly to support coordinated delivery., • Contribute to TEECOM’s thought leadership and marketing efforts by sharing technical insights, lessons learned, or project-based content., • Support cross-team delivery during high-demand periods or complex project phases to maintain firmwide alignment and momentum., • Supervisory: When serving as a Mentor, you provide structured coaching and quarterly performance feedback for assigned mentees. You support discipline execution across projects by aligning Designers, engineers, and production team members with priorities, scope, and TEECOM standards, while surfacing dependencies, risks, and resourcing needs to Project Leads, Group Leads, or Team Leads for broader action., • Mentorship: Provide advanced technical guidance and design direction to Designers, engineers, and production team members. When paired as a Mentor, you broaden your mentee’s experience through design reviews, client discussions, and complex coordination challenges, reinforcing strong engineering judgment, documentation habits, and disciplined workflows., • Training: Contribute to discipline training by sharing lessons learned, participating in internal reviews, and supporting the development of training resources that improve technical consistency and delivery quality across teams., • Education: Bachelor’s degree in Engineering (Electrical preferred), Architecture, or a related field; or equivalent technical experience., • Experience: 8+ years of experience in AEC or related professional services with strong discipline-specific capability., • Demonstrated experience delivering coordinated, high-quality designs and making sound decisions within your discipline. (ICT, Network, Wi-Fi, and other technology disciplines), • Ability to lead discipline-specific portions of complex, multi-stakeholder projects with minimal oversight., • Strong understanding of project delivery workflows, client expectations, documentation standards, and coordination requirements., • Experience contributing to documentation updates, design standards, and QA/QC workflows through GitHub or similar platforms., • Proficiency in Autodesk (AutoCAD, Revit), Bluebeam Studio, Microsoft 365 Suite, Google Workspace, and GitHub.Industry certifications preferred by discipline:, • RCDD (Telecom/ICT) — preferred, • EIT — plus, • PE — plus, • CCNA — preferred, • CDT — preferred, • PMP — plus, • These physical demands represent what is required to perform the essential functions of this job. Reasonable accommodations will be provided as needed., • Prolonged desk work using a computer, keyboard, mouse, and telephone., • Regular reading, writing, and communication in virtual and in-person settings., • Occasional travel to client sites for meetings, surveys, or inspections., • Site walks may require standing or walking for extended periods, climbing stairs, and navigating construction or utility areas., • Field activities may involve bending, kneeling, or maneuvering in confined spaces., • May occasionally lift or move equipment weighing up to 25 pounds., • These work environment characteristics represent the conditions encountered while performing essential job functions. Reasonable accommodations will be provided as needed., • Approximately 75% of work is performed in a remote or office environment using standard office equipment., • Approximately 25% occurs at client sites, including construction environments and existing facilities., • Construction sites may include exposure to elevated noise levels, dust, uneven or unfinished walking surfaces, variable lighting conditions, and active construction operations., • Utility rooms and similar spaces may have restricted access or may not fully comply with ADA accessibility standards. When access limitations exist, TEECOM will support coordinating reasonable accommodations with site-controlling contractor or alternative means to perform essential job functions., • All accidents, near misses, and unsafe conditions must be reported immediately to the site superintendent and internally to People Operations.$145,000 - $180,000 a yearThis compensation will vary depending on your role-related skills, experience, knowledge, and subject matter expertise. TEECOM is committed to making sure that we are the right fit for each applicant and that each applicant is the right fit for our team. As we get to know each other throughout the interview process, the compensation may vary within the stated range. TEECOM offers a comprehensive benefits package to support employees and their families, including medical, dental, and vision insurance for employees and their dependents, basic and voluntary life insurance, short-term and long-term disability coverage, a 401(k) plan with profit-sharing contributions, paid parental leave, lifestyle and legal benefits, pet benefits, and performance-based bonuses. Full-time exempt team members also enjoy flexible time off, and all employees receive nine scheduled paid holidays.Your level will be evaluated and determined during the interview process. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas. NOTICE TO THIRD PARTY AGENCIES: Please note that TEECOM does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Fee Agreement, TEECOM will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, TEECOM explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of TEECOM.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Accounting software hasn’t fundamentally changed in decades. The tools finance teams rely on were built for manual entry, static reports, and slow month-end workflows. We think that’s broken, and we’re fixing it. Puzzle rebuilt the accounting stack from the ground up. At the core is a real-time financial engine that ingests high volumes of data from modern fintech tools and turns it into clean, reliable financials. On top of that foundation, we’re building the workflows, automation, and insights that help accounting professionals move faster, without sacrificing accuracy. We move quickly. We ship often. And we don’t compromise on correctness. We are looking for a senior engineer to help evolve how we validate product quality across our engineering organization. This role might traditionally be called QA Automation Engineer, SDET, or Quality Engineer, but it is broader than those labels. We are not looking for someone whose primary job is to click through test plans or act as a release gate. We are looking for an engineer who can build systems, frameworks, workflows, and feedback loops that make our product safer and easier to change. Our engineering team already owns quality as part of the development process. Engineers write unit tests, integration tests, and end-to-end tests, and we continue to invest in tooling that helps us validate features earlier and more confidently. As our product surface area grows, we want to strengthen that foundation across our modern UI, GraphQL API, and partner-facing REST API. This role will help us build more complete, reliable, and scalable validation across those layers. You will help us answer questions like: “How do we know this feature works?” “How do we know existing workflows continue to work as the product evolves?” “How do we validate API behavior before it impacts users or partners?” “How do we make end-to-end tests high-signal, maintainable, and worth the cost?” “How do we use AI thoughtfully without replacing good engineering judgment?” You should be excited by testing, but your identity should be closer to software engineer who cares deeply about correctness, reliability, and product confidence than traditional QA. Help define and build our quality engineering strategy across UI, API, data, and partner-facing surfaces. Improve and extend end-to-end test coverage for high-value workflows, with an emphasis on maintainability, signal quality, and developer confidence. Build deeper API-level validation for our GraphQL server and partner-facing REST surfaces, including contract testing, schema validation, regression coverage, and test data strategy. Work with product engineers to choose the right level of validation for each problem: unit, integration, API, contract, end-to-end, synthetic monitoring, observability, or exploratory testing when appropriate. Use AI and LLM-based tools thoughtfully to accelerate quality work, such as generating test cases, identifying coverage gaps, creating fixtures, analyzing failures, or building internal testing utilities. Know when not to use AI. A script, deterministic check, schema validator, or focused test runner is often the better answer. Help define what “done” means for features from a quality perspective, without becoming a bottleneck. Mentor engineers on writing testable software, designing stable interfaces, and creating systems that are easier to validate. Collaborate with engineering, product, customer success, and support to turn real customer workflows and production learnings into better automated coverage. Our most important product workflows have clear, reliable validation. Our end-to-end tests are focused, maintainable, and high-signal. Our GraphQL and REST APIs have strong automated coverage around contracts, permissions, edge cases, partner-impacting behavior, and regression-prone areas. Engineers trust feedback from the test suite and can act on failures quickly. Release confidence improves without slowing the team down. AI becomes a useful accelerator in the quality workflow, not a replacement for engineering judgment. 7+ years of professional experience in software engineering, quality engineering, SDET, infrastructure, reliability, or a closely related technical role. Strong software engineering fundamentals and the ability to write production-quality code, not just test scripts. Experience designing and maintaining automated test frameworks for complex SaaS applications. Hands-on experience with modern browser automation tools such as Playwright, Cypress, or Selenium. Strong API testing experience, ideally with GraphQL and REST. Experience testing complex business workflows involving state, permissions, data integrity, async jobs, integrations, and third-party systems. Comfort working in CI/CD environments and understanding how tests should behave in pull requests, staging, release pipelines, and production-like environments. Pragmatism about testing strategy. You know every bug does not require an end-to-end test, and every test does not belong in the UI. Curiosity about AI-assisted engineering and testing, balanced with strong engineering judgment. Clear communication around risk, tradeoffs, gaps, and why a certain kind of validation matters. Experience in fintech, accounting, payroll, billing, tax, ERP, financial reporting, or other correctness-sensitive domains. Experience testing multi-tenant SaaS applications. Experience with schema-driven testing, contract testing, property-based testing, generated test cases, or model-based testing. Experience with observability, synthetic checks, production validation, or SRE-style reliability practices. Experience testing authorization, roles/permissions, audit trails, financial calculations, ledgers, reconciliation flows, or data pipelines. Experience using LLMs or AI coding agents to generate tests, analyze failures, improve developer workflows, or build internal quality tools. Experience with partner APIs, public APIs, SDKs, or integration ecosystems. This role is engineering-led. You will write code, reason about architecture, and influence how product engineers build and validate software. This role is not limited to manual testing, although exploratory testing may be useful when it helps us understand risk or close a gap. This role is not about adding end-to-end tests for everything. It is about building the right validation at the right layer. This role is not about using AI for its own sake. It is about applying the right tools — AI, automation, deterministic checks, scripts, frameworks, or process changes — to improve quality in practical, measurable ways. Join Puzzle Financial at a pivotal growth stage where you'll help redefine and reimagine how companies handle their financials while building your career in a flexible, remote-first environment. You'll have the opportunity to make a significant impact, work with innovative founders, and develop valuable expertise at the intersection of modern accounting and fintech. Here is a preview of some of the amazing benefits here at Puzzle: Competitive compensation 100% paid employee health, dental, and vision plans 10 observed holidays and a flexible PTO policy so you can recharge $1000 home office budget to get you set up for success $2400 co-working budget for face time with your colleagues $600 learning and development budget 401K so you can save for your future And much more *Visa Sponsorship Notice: Puzzle does not provide visa sponsorship for new hires at this time. We can only consider candidates who are legally authorized to work in the U.S. or Canada without requiring new visa sponsorship or transfer of an existing visa. Candidates should be currently residing in the U.S. or Canada to be eligible for this position. If hired, you will be required to present proof of work authorization. This employer is a participant of the E-Verify program.

Who is Element? We serve as a partner at the intersection of innovation and our clients' needs, efficiently crafting meaningful user experiences for government and commercial customers. By breaking down complex problems to their fundamental elements, we create modern digital solutions that drive efficiencies, maximize taxpayer dollars, and deliver essential outcomes that serve the people. Why Work at Element? Make an impact that resonates-join our vibrant team and discover how you can improve lives through digital transformation. Our talented professionals bring unparalleled energy engagement, setting a higher standard for impactful work. Come be a part of our team and shape a better future. Position Summary: We are seeking a driven and experienced Financial Analyst to support a federal government program while also contributing to the financial operations of our growing organization. This role is responsible for developing long-range financial models, tracking program and corporate expenditures, and ensuring accurate invoicing and budget reporting across all program activities. The ideal candidate brings strong analytical expertise, experience within federal contracting environments, and the ability to manage and interpret complex financial data in support of mission-critical initiatives and overall business performance. • Develop, maintain, and enhance 5-year financial models at a project level, incorporating program assumptions, funding profiles, and long-term forecasting scenarios., • Perform monthly burn-rate analysis and financial forecasting across contract and corporate portfolios, identifying trends, risks, variances, and opportunities for cost optimization., • Manage invoicing activities and budget reporting for assigned contract tasks and corporate initiatives, ensuring accuracy, compliance, and timely submission in alignment with contractual and internal requirements., • Track, analyze, and report on expenditures across multiple contract funding lines, task areas, and corporate cost centers., • Support program and corporate budget planning, re-forecasting, and variance analysis in collaboration with program leadership, finance, and executive teams., • Prepare financial reports, dashboards, and executive-level summaries for both government stakeholders and internal leadership., • Ensure compliance with federal financial regulations, procurement guidelines, contract reporting standards, and corporate financial policies., • Collaborate with program management, contracting officers, technical teams, and corporate finance to align financial data with program execution and business objectives., • Support audits, internal reviews, and external reporting requirements for both contract performance and corporate financial oversight., • Identify financial risks across program and corporate activities and recommend mitigation strategies to improve budget performance and resource utilization., • Bachelor’s degree in Finance, Accounting, Economics, Business Administration, or related field (or equivalent experience)., • 5+ years of experience in financial analysis, budgeting, forecasting, or program financial management., • Experience working in federal government contracting environments or large-scale public sector programs., • Strong experience building and maintaining multi-year financial model, • Demonstrated experience performing burn-rate analysis, cost tracking, and financial forecasting., • Experience managing invoicing, billing, and financial reporting for government contracts, including task-based reporting structures., • Strong proficiency in Excel and financial modeling tools; experience with financial systems (e.g., ERP systems) preferred., • Strong understanding of federal budgeting, cost allocation, and contract financial compliance requirements., • Strong analytical and problem-solving abilities., • High attention to detail with strong data accuracy and validation skills., • Ability to communicate financial insights clearly to both technical and non-technical stakeholders., • Strong organizational skills with the ability to manage multiple reporting deadlines., • Ability to work independently in a fast-paced, regulated government contracting environment., • US Citizenship or Permanent Residency required., • Must reside in the Continental US., • Depending on the government agency, specific requirements may include public trust background check or security clearance., • Experience supporting CMS, healthcare, or other regulated federal programs., • Familiarity with government contracting structures (e.g., T&M, FFP, cost-reimbursement contracts)., • Experience with financial reporting tools such as Power BI, Tableau, or similar analytics platforms., • Knowledge of federal acquisition regulations (FAR) and contract financial compliance standards., • CPA, CFA, or similar financial certification. $110,000 - $120,000 a yearThe likely salary range for this position is $110,000-$120,000. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary. Our People We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); paid time off including PTO, holidays, and any other paid leave required by law. Location Be in your Element. We are a remote first company based out of Washington, DC. Element is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age, ancestry, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, marital status, protected veteran status, or any other legally protected class. We believe in a world where solutions we build improve the lives of those who use them.

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement _. We're building out our performance marketing function and looking for a Marketing Analytics Manager to own the measurement infrastructure that powers our growth decisions. This is a foundational role — you'll be the connective tissue between performance marketing and our data team, translating business questions into rigorous analytical projects and building toward a robust, multi-touch understanding of how our marketing spend drives patient acquisition and LTV. You'll own two critical work streams: incrementality and holdout testing methodology, and our internal attribution model — with a longer-term mandate to evolve that model into a full Marketing Mix Model (MMM). Cross-Functional Project Management Between Performance & Data Serve as the primary translator between performance marketing and the data team — scoping requests, writing clear briefs, managing timelines, and QA-ing outputs Prioritize the analytics backlog in partnership with the VP of Marketing and Director of Performance Communicate findings, needs, and AI’s clearly to both technical and non-technical stakeholders Attribution Modeling Maintain and continuously improve our internal attribution model, ensuring it accurately reflects the patient acquisition journey Audit data inputs, identify gaps, and work with the data team to ensure model integrity over time Translate attribution outputs into actionable channel-level insights for the performance marketing team Incrementality & Holdout Testing Design and own Solace's incrementality measurement framework, including holdout group methodology, test design, and statistical rigor Partner with channel owners (TOF, BOF, email, etc.) to run ongoing lift tests that validate true channel contribution Develop standards and documentation so holdout testing becomes a repeatable, scalable practice across the team MMM Development (Long-Term Roadmap) Build toward a Marketing Mix Model that gives leadership clear visibility into how budget allocation drives outcomes across channels and geographies Partner with the data team on data pipeline requirements, model architecture, and validation approaches Help define the analytical roadmap for marketing measurement as Solace scales Building the measurement infrastructure that tells us what's working, what's not, and where to double down — so every dollar we spend moves us closer to the patients who need us most. A collaborative partner who thrives on cross-functional work and constructive feedback. A strategic operator who can think holistically about the full funnel while staying curious and detail-obsessed in execution and logic A data-informed marketer who loves using experimentation and analytics to improve every touchpoint. A builder and optimizer who can bring structure and process to fast-evolving environments. Excited to contribute hands-on in a high-growth, mission-driven startup. 6+ years of experience in marketing analytics, growth analytics, or a related quantitative field Strong working knowledge of incrementality testing, causal inference, and holdout methodology Proficiency in data interpretation, reporting, and optimization recommendations; comfortable using dashboards or pulling reports to drive insights Ability to translate complex analytical outputs into clear business recommendations Hands-on experience building or maintaining attribution models (multi-touch preferred) Familiarity with MMM concepts and experience working toward or within an MMM environment Proficiency in SQL; Python or R a strong plus Experience project managing analytics requests across data and marketing teams Exceptional organization and attention to detail, with the ability to manage multiple priorities simultaneously A bias for action — you move fast, make sound decisions, and thrive under tight timelines. Bonus: experience in healthcare, fintech, or other regulated industries, a 3-sided marketplace, or in a fast-paced startup environment, experience managing a team, lives in the Bay Area We’re a team of ambitious, mission-driven individuals working to make healthcare more human. At Solace, you’ll have the opportunity to contribute meaningfully to one of the fastest-growing healthcare startups in the U.S. — where your work has a direct, visible impact on people’s lives. This is a fully remote position, but Bay Area preferred. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or _. Report suspicious activity to recruiting@solace.health or advocate@solace.health.

At Nox Group, we are dedicated to humanizing construction as one of the fastest-growing industrial enterprises in the US. Nox Group owns and operates Corbins, RMCI, Nox Innovations, and Construction Labels, and our teams set the standard as industry leaders. As we continue to expand our reach nationwide, we seek people who are passionate about personal growth and eager to make a positive impact throughout the industries and communities we serve. We prioritize our people, our partners, and our relationships. Start your journey today and join our skilled team. As the Virtual Construction Field Engineer, you will support the Nox Innovations virtual design team and broader Nox Group construction installation teams with research and validation in the field. This will include design, trade coordination, layout, installation coordination, and validation. Responsibilities • Manage the Asset Routing submissions daily by, • Providing support to the field on routing processes from VC WFD, • Ensuring routing plans are reviewed and constraints are logged and followed up on by Nox Group’s field personnel and Virtual Construction., • Coordinate & manage internal and external constraints during the modeling process by, • Maintaining a daily VC constraint log, • Coordinate constraint resolution, • Attend VC internal and external coordination meetings to document and coordinate constraints and assist in coordination resolution, • Monitor & share weekly constraint progression with the project & VC teams, • Assist with the constructability review in the field., • Assist the installation team with understanding the scope as needed, • Perform field validations of installation against the design to ensure the design is being followed and report any design to installation deviations to VC PE, • Provide total station layout points on site as needed., • Assist installers with knowledge of how to understand and navigate the model and sheet sets, including PF part labels., • Perform daily coordination between the VC Project Coordinator and the onsite field operations teams to ensure the model and design are aligned., • Provide updates and support to the VC Project Manager to ensure continuity between the VC Engineers and the onsite Field Operations Qualifications • 5+ years’ experience in the construction field, electrical a bonus, • 2+ years’ experience in CAD, • Experience in Project Layout, • Ability to stand for long hours and walk job sites, • Ability to climb a ladder, • Ability to lift up to 45 lbs, • Excellent written and verbal communication ability, • Organized, systematic, and competent in performing detailed tasks, • Has a strong ability to be a team player and leader, • Self-starter and motivated to work efficiently and effectively, • Must possess outstanding interpersonal skills, • Cultural fit—ability to build positive working relationships Education/Certifications • High school diploma or G.E.D. equivalent Safety Level This is a safety sensitive position, and all applicable policies including drug test and background check will apply. • The inherent responsibilities of your role may include physical working conditions. In order to safely and successfully perform job duties you must be able to:, • Potentially lift up to 50 pounds, • Potentially need to do repeated pushing, pulling, carrying, reaching (or working above shoulder), walking, standing, sitting, stooping, kneeling, bending, and climbing, • Potentially operate a motor vehicle, crane, tractor, etc., • We reserve the right to continually monitor your ability to safely and successfully complete these inherent physical responsibilities and take action as deemed appropriate in accordance with the Americans with Disability Act (ADA) #NXCLIND1 It has been and continues to be the long-standing policy of any Nox Group operating company to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, or genetics. In addition to federal law requirements, Nox Group and all of its subsidiaries comply with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Analytica is seeking a Data Scientist to support long term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Responsibilities include: • Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization., • Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques)., • Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc., • Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results., • Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges.Qualifications:, • Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar, • High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling, • At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP., • Experience using git/github to version control source code, • Experience leveraging transformer architecture to develop NLP models, • Experience with open source NLP packages such as Gensim, SpaCy, or NLTK., • Experience with BERT, GPT-J, RoBERTa, T5 or other transformers, • Experience with GenAI and Prompt Engineering is a plus, • Experience in Databricks and MLFlow is a plus, • Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus, • Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract, • Experience coordinating and maintaining user stories, • Must be a US citizen, • Must be able to obtain and maintain a Public trust security clearance About : Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at and is an _ provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. • Application Review: AI tools may help identify skills and experiences relevant to the role., • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the _ to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process _. About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. We’re looking for a Backend Engineer to help design, build, and scale tvScientific’s contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability. You’ll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales. This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach. What you'll do: • Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals, • Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model, • Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems, • Develop APIs and services that serve customers, internal operations teams, and finance stakeholders, • Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions, • Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees, • Improve system observability, reliability, and performance as contract volume and complexity scale, • Own backend services and data models related to contracts and billing, • Lead technical design discussions and make pragmatic architectural decisions, • Write clean, well-tested, and maintainable code with a strong focus on correctness, • Drive improvements in data consistency, validation, and error handling across contract workflows, • Review code and mentor other engineers, setting a high bar for backend quality, • Collaborate cross-functionally to support new deal structures and evolving business models What we're looking for: • Experience with billing/contract mechanisms (specifically affiliate platforms), • Bachelor’s degree in computer science, a related field or equivalent experience, • Experience building large-scale full-stack products., • Deep understanding of web development and best practices in React/Redux, • Strong experience with programming languages Javascript and Python/Java, • Strong software engineering principles and practices, • Strong collaboration and communication skills, • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs, • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review), • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables, • Nice-to-Haves:, • Experience working closely with finance or accounting teams, • Background in building audit-friendly or compliance-sensitive systems In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: • This position is not eligible for relocation assistance. Visit our_ page to learn more about our working model. #LI-SM4 #LI-REMOTE

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not always guarantee production success. This role exists to ensure that what we commit to with customers is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing: • Revenue quality, • Engineering focus, • Product evolution, • Customer trust at scale You’re welcome to work remotely from the United States. Your responsibilities will include: Strategic Technical Discovery • Lead deep technical discovery with engineering teams and technical founders, • Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies, • Translate customer ambition into production-feasible architecture., • Identify hidden technical risks early Commercial Acceleration • Partner tightly with Sales on strategic deals, • Influence deal strategy through architectural clarity, • Prevent misaligned commitments before engineering allocation, • Increase PoC-to-production conversion by ensuring technical realism PoC Architecture & Validation • Define measurable success criteria (latency, TTFT, throughput, cost envelope), • Classify workload complexity and required optimization depth, • Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.), • Drive structured Go / No-Go decisions, • Prevent uncontrolled customization or hidden R&D Pattern Recognition & Platform Leverage • Identify recurring configuration patterns across customers, • Quantify demand for advanced optimizations (quantization, speculative decoding, etc.), • Surface structured insights to Product and Engineering, • Help evolve platform capabilities based on real workload data We expect you to have: • Deep understanding of AI inference systems and GPU-backed infrastructure, • Experience with LLM workloads and performance-sensitive environments, • Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM)., • Ability to reason about latency, throughput, cost, and architecture tradeoffs, • Strong customer presence with engineering-first organizations, • Comfort challenging assumptions and pushing back constructively, • Commercial awareness – you understand that engineering time is a strategic resource Preferred Technical Stack • Programming Languages– Python, • Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs, • Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent, • API and Web Frameworks– FastAPI, Flask, • MLOps and DevOps tools– Kubernetes (K8s), Docker, Git, • Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) What Success Looks Like • Strategic deals are technically sound before engineering engagement, • PoCs are clearly scoped and economically justified, • Engineering capacity is allocated predictably, • Conversion to production improves, • Customers view you as a trusted architectural advisor Key employee benefits in the US: • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families., • 401(k) plan: Up to 4% company match with immediate vesting., • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers., • Remote work reimbursement: Up to $85/month for mobile and internet., • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries, ranging from $152k - 228k base + RSU's and performance bonus's. What we offer • Competitive salary and comprehensive benefits package., • Opportunities for professional growth within Nebius., • Flexible working arrangements., • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Full-time Description Hello, we're Augeo – we are a global leader in enterprise-level engagement and loyalty platform technology, delivering compelling experiences and fostering meaningful connections for employees, consumers, members and channel partners across many industries and verticals. We serve hundreds of clients, including 70+ Fortune 500 companies, representing millions of end users. We are thought leaders and disruptors who think differently and creatively, built by entrepreneurs, operators and innovators. At Augeo, we're passionate about providing an inclusive workplace that values diversity and our sustainability initiatives. Everyone is welcome - our employees are comfortable bringing their authentic whole selves to work. Be you, reach your full potential. We work hard, we play hard and, most importantly, we care to our core about our teams and each other. We over-communicate around everything...especially while we navigate our new hybrid world. Summary An Encore BI Developer will be responsible for designing, building, and maintaining business intelligence solutions – including interactive dashboards, automated reports, and scalable data models – that empower stakeholders across the organization to make informed, data-driven decisions. This individual will serve as a hands-on builder, developing reporting solutions primarily while writing performant SQL against SQL Server and Snowflake environments. You’ll translate complex business requirements into polished, production-ready BI deliverables and partner directly with business analysts, product owners, and engineering teams to define reporting strategies, surface trends, and proactively deliver insights that drive business outcomes. You’ll also be expected to leverage AI-powered analytics tools and agentic AI assistants to accelerate development, automate data preparation and quality workflows, and continuously improve the speed and depth of insight delivery across the organization. Who You Are An innovator who brings ideas to the table, works hard, tells your story, and builds new tech - someone who is a genuine collaborator who contributes to the team and helps accomplish amazing things in a high-energy and dynamic environment. High-level Job Requirements • Design, develop, and maintain enterprise-grade dashboards, reports, and self-service analytics solutions using Power BI and Domo to support operational, strategic, and executive decision-making, • Write, optimize, and tune complex SQL queries against SQL Server and Snowflake databases to extract, transform, and aggregate data for reporting and analytical purposes, • Develop and manage ETL/ELT pipelines and dataflows to integrate data from multiple sources into a cohesive reporting layer, • Perform thorough data validation and quality assurance to ensure accuracy, consistency, and reliability of all reporting outputs before delivery to stakeholders, • Identify and implement opportunities to use agentic AI assistants for automated data quality checks, anomaly detection, trend analysis, and natural language report generation, • Document reporting processes, data sources, data lineage, transformation logic, and business rules for future reference and knowledge sharing, • Embrace Augeo’s CORE values – Collaborative, Objective, Responsive, and Earnest in all areas Competencies • Strong written and verbal communication skills with the ability to present data insights clearly to both technical and non-technical audiences, including executive leadership, • Analytical mindset with strong attention to detail and a commitment to data accuracy and integrity, • Organized, with the ability to manage multiple concurrent projects and work independently toward project-driven deadlines, in person or remote Desired Technical Skills • 3–5 years of hands-on experience building dashboards, reports, and data models in a professional setting including writing complex SQL queries, with strong proficiency in joins, subqueries, window functions, CTEs, stored procedures, and query performance tuning, • Experience with Domo, including building dataflows, creating Beast Mode calculations, designing cards and dashboards, managing connectors, and scheduling data refreshes, • Solid experience querying and managing data from Microsoft SQL Server, including proficiency with SQL Server Management Studio (SSMS) and familiarity with SSIS or similar ETL tools, • Experience working with Snowflake cloud data platform, including writing performant queries, understanding Snowflake architecture, and working with Snow SQL or the Snowflake web interface, • Solid understanding of data warehousing concepts, star and snowflake schemas, dimensional modeling, and slowly changing dimensions, • Exposure to additional BI platforms such as Tableau, Looker, or Qlik is a strong plus, • Experience leveraging AI-powered analytics and reporting tools (e.g., Power BI Copilot, AI-assisted query generation, natural language BI interfaces) to improve productivity and reporting quality, • Understanding of ETL/ELT processes and data pipeline architecture Education and Experience • Four-year college degree from a regionally accredited college or university in Computer Science, Information Technology, Data Analytics, Business Intelligence, Statistics, or a related field preferred (or equivalent relevant experience), • 3–5 years of experience in a BI development, reporting, or business intelligence role with hands-on dashboard and data model building responsibilities, • Demonstrated experience integrating AI-powered analytics and development tools into daily reporting and data analysis workflows Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers and smartphones. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch, or crawl; talk or hear; and taste or smell. The employee must occasionally lift or move up to 20 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Travel Travel is primarily local during the business day, although occasional out-of-area and overnight travel may be expected. Benefits of joining team Augeo • We offer Medical, Dental and Vision coverage with additional perks through third party vendors offering more virtual and in person care at your fingertips (must be in select locations), • We offer paid Long-Term disability and Life Insurance, • HSA/FSA plans, • We offer varying voluntary benefits such as critical, hospital, pet coverage and much more, • Employee benefit education, campaigns and wellness opportunities, • 401k retirement matching and financial planning resources, • Education reimbursement, • Several EAP resources, • 13 paid holidays and PTO time, • Rewards, incentives and gamification for birthdays, Work-aversery's, professional and personal milestones, company involvement and kudos, • Employee referral bonuses, • Employee group opportunities, • Fun, casual and flexible working environment that embraces the hybrid workstyle, • Career growth opportunities, • Summer internship program *St. Paul MN Preferred, but open to remote Salary Description $95,000 - $105,000

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch. By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at _. We’re looking for a Revenue Operations Manager, Customer Operations to own the operational infrastructure that supports Later’s brand customers across our Influence Platform, Managed Services offerings, and Mavely. This role sits at the center of the customer lifecycle—bridging what Sales sells with what our Services and Client Success teams deliver.You’ll be responsible for building the systems, processes, and performance intelligence that ensure contracted revenue converts into efficient, effective customer outcomes. This is a high-impact role for someone who thinks in systems and outcomes, thrives in cross-functional environments, and enjoys bringing structure to complex, fast-growing businesses.Reporting to the VP of Revenue Operations, you’ll partner closely with Services, Client Success, Sales, and Finance to ensure our customer operations can scale with growth—without sacrificing quality, margin, or customer trust. • Define and own the operational frameworks that ensure sold revenue is delivered efficiently and effectively across all brand customer offerings., • Establish clear definitions of campaign health, customer health, and operational performance that align Services, Client Success, Finance, and Sales., • Translate revenue pipeline signals into forward-looking operational insights that inform staffing, prioritization, and investment decisions. Revenue Accountability & Performance Intelligence • Own the metrics that answer “did we deliver what we sold, and was it efficient?” at the campaign, customer, and portfolio level., • Build and maintain reporting that surfaces campaign health, budget utilization, margin performance, and delivery risk., • Partner with Services, Client Success, and Finance leadership to define what “healthy” looks like and implement early warning systems when campaigns or customers drift off track., • Develop consistent frameworks for measuring customer health that work across product lines and engagement models. Sales-to-Services Handoff & Capacity Forecasting • Own the end-to-end Sales-to-Services handoff process, ensuring accurate, timely, and complete transfer of deal context into execution., • Build pipeline-to-capacity forecasting models that give Services 30–60–90 day visibility into incoming workload., • Connect Sales forecasting with Services capacity planning to enable proactive staffing and resource allocation., • Develop load-balancing frameworks and recommendations that help Services leadership distribute work effectively. Operational Process Design & Customer Infrastructure • Design, document, and continuously improve the workflows that move customers from sale through delivery completion., • Identify friction, bottlenecks, and inefficiencies across customer operations and build scalable, repeatable solutions., • Define SLAs, efficiency benchmarks, and operational standards that drive consistency across Sales, Customer Operations, and product lines. Systems & Enablement • Own the Salesforce data architecture that enables clear visibility into customer and campaign performance., • Ensure data integrity and system hygiene across the customer and campaign lifecycle., • Support the systems infrastructure that enables Account Directors, CSMs, and Delivery teams to operate from a shared source of truth., • Partner with central RevOps and Systems teams on platform enhancements, integrations, and automation., • Create documentation and enablement resources so teams can effectively use the systems and processes you build., • Act as a trusted operational partner to Services, Client Success, Sales, and Finance leaders., • Facilitate alignment across teams by creating shared metrics, processes, and operating rhythms., • Communicate clearly and proactively to ensure stakeholders understand performance, risks, and upcoming capacity constraints. Within your first 6–12 months, success in this role will look like: • A documented, reliable Sales-to-Services handoff process with clear validation criteria and strong adoption across teams., • Campaign efficiency and effectiveness reporting that is trusted by Services leadership, Finance, and the executive team., • A pipeline-to-capacity forecasting model that provides Services with 30–60–90 day visibility into incoming demand., • Measurable improvements to delivery efficiency and/or margin performance driven by operational process improvements., • A unified customer health measurement framework—built in partnership with your RevOps counterparts—that works across all brand product lines., • Recognition as the go-to expert for “how did we do?” and “what’s coming?” questions across the Services organization., • 4+ years of experience in Revenue Operations, Sales Operations, Business Operations, or Customer Operations within a SaaS, professional services, or solutions delivery environment., • Proven ability to design and implement cross-functional processes that drive measurable business outcomes., • Strong command of Salesforce or comparable customer management platforms, including reporting, workflow design, and data modeling., • Experience with capacity planning, forecasting, or resource modeling that connects demand signals to operational capacity., • An analytical mindset with the ability to translate data into insight—and insight into action., • Understanding of services delivery, agency operations, or delivery-based business models; experience in the creator economy or marketing industry is a plus., • Exceptional written and verbal communication skills, with the ability to document complex processes and influence senior stakeholders., • Comfort operating in ambiguity and a bias toward building structure where it doesn’t yet exist., • Experience with project management tools (e.g., Asana, Teamwork) and BI or reporting tools (e.g., Tableau, Looker, Domo, or similar), • Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear., • Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights., • Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement., • Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high., • Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth., • Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity. We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors. Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package. Salary Range: $ 130,000 - 140,000 USD #LI-Remote We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located. At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change. We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

Harbor is seeking a Consultant for corporate legal technologies to join our growing team. The focus of this role will be to support a strong pipeline of legal hold and eDiscovery system implementations. This role is open to remote work in any US location, with a preference for those in Chicago, our headquarters, and where some of the Discovery and Data Management Team reside. In this role, you will be: • Supporting multiple implementation engagements across different clients, • Participating in requirements gathering and solution design workshops with client leaders, • Helping prepare key project deliverables and documentation, • Configuring legal hold and eDiscovery systems and performing validation testing, • Performing data analysis and facilitating data migration activities with vendor resources, • Assisting with project management activities to ensure alignment with timelines, budgets, scope, resources, and quality standards Responsibilities: Client and Project Management • Participate in client interviews, workshops, and presentations to gather and document business requirements, migration needs, and project specifications, • Support the mapping of business requirements to system and integration capabilities, identifying gaps and helping create custom solutions aligned with client objectives, • Conduct research on industry trends to inform project strategies, adding value to client engagements with relevant best practices, • Document and maintain project deliverables, including design documents, configuration logs, testing strategies, migration plans, training materials, deployment plans, and others, • Help develop and execute test scripts for user acceptance testing (UAT), collaborating with clients to address and resolve migration issues, • Participate in end user training and system deployment activities, • Serve as primary point of contact to client and third-party vendor representatives, • Drive project management activities to maintain alignment with project timelines, budgets, scope, resources, and quality standards for technology implementation, • Contribute to high-quality client communication by providing regular status updates, assisting with issue tracking, and supporting client expectations Data Analysis and Migration: • Work closely with the project team to analyze client data using Excel, SQL, and other tools, • Document field mappings, cleanup and transformation activities, and other key requirements needed for a successful migration, • Define and perform data validation checks during migration activities to ensure data integrity and compliance with project standards, • Liaise with data migration engineers to ensure clarity on requirements and troubleshoot any migration issues encountered People and Team Development • Participate in team efforts to enhance our methodologies, documentation, training, project delivery approaches, and tools, • Serve as a mentor or buddy to newly onboarded resources, • Participate in company-wide strategic initiatives, • Volunteer for company-sponsored community enrichment programs Qualifications: • 2-5 years of relevant experience in legal consulting, technology consulting, or eDiscovery services, specifically in a customer facing role advising clients, • Experience working on technology implementation projects as a business analyst, consultant, project manager, data migration specialist, or other similar role, • Hands-on experience using and/or administering Exterro, Relativity Legal Hold, M365 Purview, DISCO, Nuix, Reveal, Mitratech LegalHold, OpenText, or other similar systems, • Four-year undergraduate degree in Business, Computer Science, Legal Studies, Information Systems, Engineering, or a related field, or equivalent experience and education, • Demonstrated knowledge of the following areas: business requirements gathering, data mapping, workflow development, data migration, testing, or project management, • Working knowledge of any of following areas: Electronic Discovery Reference Model (EDRM), litigation, legal technology, data preservation, metadata, or data retention, • Permanent U.S. work authorization required About Us: Harbor is the preeminent provider of expert services across strategy, legal technology, operations, and intelligence. Our globally integrated team of 800+ strategists, technologists, and specialists navigate alongside our clients – leading law firms, corporations, and their law departments – to provide essential resources and invaluable insights. Anchored in a rich heritage of deep knowledge, steadfast relationships, and mutual respect, our unwavering dedication lies in shaping the future of the legal industry and fostering enduring partnerships within our community and ecosystem. Harbor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, civil union status, national origin, ancestry, age, parental status, disabled status, veteran status, or any other legally protected classification, in accordance with applicable law.

ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. Instead of cobbling together nginx, NLBs, VPNs, model routers, and oodles of other tools, developers solve every networking problem with one gateway. Doesn’t matter if they’re sharing localhost or running AI workloads in production. We're trusted by more than 9 million developers at companies like GitHub, Okta, HashiCorp, and Twilio. What started as a way to put your local app on a public URL has grown into a universal gateway for API delivery, AI inference, device fleets, and site-to-site connectivity. It’s the same ngrok that millions of developers have loved and leaned on every day for years, now with the power to run production traffic at scale. A few things you should know: • Our mascot is a rock, • We are obsessed with our pets, Viper sunglasses and Bufo (yes, the toad), • We have a designated Chief Emoji Officer - they are vital to our success!, • We like software that’s serious and culture that’s not Most people skim to 'requirements' and bounce. You're actually reading this. That's the kind of thoroughness we respect, or you're just procrastinating. Either way, same same and you should keep reading. We own ngrok’s core gateway layer — the infrastructure that sits between the internet and everything our customers run. Every request, response, retry, and timeout passes through here. Our job is to make sure that traffic is: • Routed exactly where it’s supposed to go, • Secured correctly, every time, • Allowed or blocked for reasons we can explain, • Rate-limited and shaped without surprises, • Observable when something inevitably goes sideways, • Build and operate the gateway core: You’ll work on the services every ngrok request passes through. They’re very fast, very hot, and have extremely high standards., • Design routing and security primitives everyone depends on: You’ll build low-level policy, routing, and validation systems used across the platform—making sure bad configs fail fast and don’t accidentally DDoS the internet., • Debug distributed systems in the wild: You’ll chase bugs caused by timing, load, and incorrect assumptions. Expect metrics, traces, packet captures, and the occasional “how is this even possible?”, • Ship infrastructure people sleep on (in a good way): You’ll build simple, durable systems and clean abstractions that other teams rely on daily—while thinking about blast radius, safety, and rollbacks more than flashy demos., • You’re comfortable in Go, Rust, C/C++, or Java (bonus points for Go), • You’ve built networking, proxy, or infrastructure systems in production, • You understand TLS/mTLS, • You enjoy systems that are invisible until they’re not, • You passionate about building primitives other teams depend on, • You’ve said “this needs to be rock solid” and meant it literally Extra credit if you’ve worked on: • Gateways, proxies, or edge platforms, • Security-critical infrastructure, • Multi-tenant networking systems, • Config-heavy systems that must never surprise users, • Anything described as “simple” in the original proposal ngrok runs entirely on AWS. Engineers develop by SSH’ing into remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production. The codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything. This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays. All candidates must be US-based, and legally authorized to work in the United States. At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship. Senior Software Engineer • Tier 1 (SF, LA, Seattle, NYC): $180,000 – $225,000, • Tier 2 (rest of US): $165,600 – $207,000 Software Engineer III • Tier 1 (SF, LA, Seattle, NYC): $160,000 – $200,000, • Tier 2 (rest of US): $147,200 – $184,000 Software Engineer II • Tier 1 (SF, LA, Seattle, NYC): $132,000 – $165,000, • Tier 2 (rest of US): $121,400 – $151,800 #LI-Remote Compensation for this role depends on level, but we provide a competitive mix of salary and equity. We provide a 401(k) with a 100% match up to 3% of your salary and a 50% match up to another 2%. We provide healthcare, dental, and vision with premiums fully covered on the base plan for employees. Half of premiums are covered for dependents. We offer unlimited PTO and a culture in which the overwhelming majority of employees take more than four weeks. Your manager is also on the hook for encouraging you to do the same.

Title: Low Code AI Engineer Location: Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public Trust investigation Travel: 0–10% RESULTS. INNOVATION. VALUES. ACCOUNTABILITY. That’s RIVA. Our employee-first approach has manifested a culture that attracts the best and brightest. By investing in people first and providing a flexible work environment, our employees have higher morale, higher productivity rates, and lower turnover. At RIVA, people are our #1 priority. Program Overview RIVA Solutions supports the U.S. Department of Commerce (DOC), International Trade Administration (ITA), in establishing and operating an AI Center of Excellence (AI-CoE) under the Office of the Chief Information Officer (OCIO). This program advances IT modernization by designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that strengthen mission outcomes across the Commerce enterprise. The AI-CoE provides AI application development, model lifecycle management, data engineering, security support, quality assurance, and Agile delivery services that enable DOC to mature toward higher levels of operational and technological excellence. RIVA’s work ensures that AI tools and systems are reliable, scalable, secure, and aligned with federal cloud and data strategies. Position Overview RIVA Solutions is seeking a Low Code AI Engineer to support the delivery and operationalization of AI-enabled solutions using low-code platforms—primarily Microsoft Power Platform and Copilot Studio—within the AI Center of Excellence. This role focuses on enabling, deploying, integrating, and monitoring AI experiences in Microsoft’s specialized government cloud environment (Government Cloud Computing/Government Community Cloud), designed to meet the compliance and security needs of Federal, State, Local, and Tribal governments. Emphasis is placed on configuration-first development, CI/CD, data/content ingestion pipelines, and ongoing operations to ensure reliable production performance. This position partners closely with technical teams and federal stakeholders to implement scalable low-code solutions, establish repeatable delivery patterns, and support the knowledge/content lifecycle that powers AI experiences (e.g., ingestion, validation, refresh, governance, and monitoring). Traditional, heavy machine learning model development is not a primary expectation for this role, though limited support may be required as future mission use cases evolve. U.S. Citizenship is required, along with the ability to obtain and maintain a federal Public Trust investigation. This position is fully remote within the United States. Core Responsibilities Enable and deliver low-code AI solutions using Microsoft Power Platform and Copilot Studio to support enterprise mission needs. Configure, integrate, and operationalize AI experiences, including connectors, workflows, approvals, and automation patterns that support secure enterprise adoption. Support cloud delivery within Microsoft’s specialized government cloud environment (Government Cloud Computing/Government Community Cloud), ensuring solutions align with federal security, compliance, and governance requirements. Implement and maintain CI/CD processes for Power Platform/Copilot solutions (solution packaging, environment promotions, release management, and deployment automation). Build and support data/content ingestion pipelines that prepare and maintain knowledge sources for AI experiences (knowledge lifecycle management, validation, refresh schedules, and quality checks). Deploy, monitor, and optimize low-code AI solutions in production, including telemetry, alerting, performance monitoring, and incident response support. Partner with Data Engineers and platform teams to ensure content and data are structured, accessible, and maintained for AI-enabled experiences (without requiring heavy feature engineering or predictive modeling). Use Python or lightweight scripting only as needed for function calls, integration edge cases, automation gaps, or specialized operational support. Document platform configurations, release procedures, operational runbooks, integration patterns, and technical implementation details. Collaborate with AI Developers, Data Engineers, Scrum Masters, and federal stakeholders in Agile/Scrum environments. Stay informed on emerging low-code AI capabilities (Power Platform, Copilot Studio, governance, and federal cloud guidance) to improve solution quality and maintainability. Minimum Qualifications Bachelor’s degree or equivalent professional experience. Minimum 2 years of experience delivering low-code solutions, platform enablement, automation, or related engineering work (Power Platform/Copilot Studio strongly preferred). Experience configuring, deploying, and supporting solutions across multiple environments (dev/test/prod), including release and change management practices. Experience with CI/CD concepts and implementation for low-code or platform- based solutions (packaging, deployments, environment strategy, and operational monitoring). Experience supporting data/content ingestion, integration, or lifecycle processes that enable AI experiences (knowledge management, data preparation workflows, or content operations). Strong analytical and problem-solving skills with a delivery-and-operations mindset. U.S. Citizenship required. Ability to obtain and maintain a Federal Public Trust investigation. Preferred Qualifications Experience supporting federal government or public-sector technology programs, including regulated cloud environments. Hands-on experience with Microsoft Power Platform administration and governance (DLP policies, environment strategy, ALM practices, Center of Excellence patterns). Experience with Copilot Studio (bot/agent configuration, integrations/connectors, publishing, telemetry/monitoring). Exposure to lightweight scripting (e.g., Python) for integrations, function calling, or operational edge needs. Experience with monitoring/observability practices (logging, metrics, alerting, dashboards) and operational support for production services. Familiarity with cloud-native services and secure delivery practices within Azure ecosystems. Certifications in Power Platform, cloud engineering, or related fields are a plus. Salary $120K RIVA Benefits Paid Time Off / Sick Leave Health, Dental, and Vision Coverage Life Insurance Retirement Benefits / 401K with company matching HSA/FSA Spending Accounts Long- and Short-term Disability Pet Insurance Wellness Program Initiatives RIVA Flex Additional Workplace Benefits Equal Opportunity Statement RIVA Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any protected class. If you need a reasonable accommodation to search for a job opening or to submit an online application, please email _. Only messages left for this purpose will be returned.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable’s mission is to bring the power of computing and software development to everyone. We are developing a powerful and extensible platform that our customers can leverage to solve a variety of different problems and workflows. We’ve seen our most sophisticated customers use the product to run global processes across thousands of employees, coordinate precision manufacturing pipelines, and consolidate previously siloed mission-critical data into a single source of truth. The complexity of these use cases requires us to be extremely thoughtful about how we design and implement new functionality in the product and make sure it’s both easy to use and comprehend for our customers and maintainable for us. As a Full-Stack, Backend engineer at Airtable, you will have the opportunity to work with customers to deeply understand their needs and workflows. You will collaborate with cross-functional partners across product management, design, research and data science to create innovative new features that enable our customers to do their best work. You will be responsible for owning and executing the end-to-end implementation of these new features that will contribute to making our toolkit even more powerful and successful. We currently have openings on: • The Enterprise Growth Team (Full-Stack/BE) delivers the foundational building blocks and collaboration primitives that enable enterprise builders to leverage AI to create, collaborate, and scale with confidence. This pod supports Airtable's broader goals by ensuring that our largest enterprises are provided with robust, AI-first primitives that can be used and then scaled to solve any problem our users might face. Beyond this, we serve as the stewards for experience quality and user delight across the Airtable product., • The Monetization Team (Full-Stack/BE) is a high-impact team focused on driving user engagement and revenue across Airtable’s core surfaces, including sharing, pricing, and payments. Engineers on this team build polished, user-facing features, run experiments that shape product direction, and maintain the systems that power billing and purchasing. You’ll collaborate closely with Product, Design, and Data, leverage AI to personalize the user journey, and play a key role in helping users discover and unlock the full value of Airtable., • The Platform Interoperability Team (Full-Stack/BE) builds the systems that allow agents, integrations, and connected workflows to interact with Airtable as a platform. As AI agents become a primary interface for how work gets done, we're ensuring Airtable is a first-class participant in that ecosystem. This team's mission is to make Airtable the most capable and well-connected platform in the agentic ecosystem. We're building the infrastructure that lets humans and agents alike treat Airtable as a source of truth they can reliably act on, whether through direct integrations, AI-powered workflows, or large-scale data operations. Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are only hiring in the following locations at this time: • Based in the San Francisco Bay Area and are open to coming into our office (Embarcadero) at least ~2-3 times/week for team collaboration, • Based in New York City and are open to coming into our office (Soho) at least ~2-3 times/week for team collaboration, • Based remotely in the greater Seattle area, • Design and build systems that dramatically increase the scalability and performance of all applications built on Airtable, to earn the trust of our customers through predictable, reliable, and thoughtful interactions., • Work at the deep backend of the Airtable software stack within the Enterprise Product portion of the org, just above the Infrastructure org., • Partner with product managers, designers, and data scientists to understand the needs of potential users and build a product that unlocks their potential., • Work alongside and learn from a talented group of engineers with a diverse range of experiences and backgrounds., • You have 8+ years of industry experience with modern systems development, ideally database internals development., • You are interested in programming in TypeScript and Rust., • You are excited by a product-oriented backend role, i.e. not pure Infrastructure., • You have a good understanding of modern web technologies and large-scale web application architecture., • You have a background in computer science or a related field., • You believe the best product is the one that helps users accomplish their goals while growing the business., • You take a thoughtful approach to decision making; knowing when to move fast and when to do things right., • You have strong convictions, weakly held and assume validation and iteration are a given to produce the best results., • You show strong ownership instincts and sweat the details., • You are currently based and/or will be based in the San Francisco Bay Area Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your _. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our _ and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out _. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $213,000 - $339,900 USD Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking _. For applicants that live in or have a link to Australia, please see this _ for details regarding Airtable's collection and use of personal data relating to the application and recruitment process. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at . Learn more about avoiding job scams .

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native generative AI solutions and intelligent data pipelines on AWS, spanning intelligent document processing, computer vision, and related AI / ML domains. The ideal candidate is energized and motivated with an extreme commitment to delivery and transformational change through the use of AI. They will think about generative AI in two dimensions: as a tool that makes them and their team dramatically faster, and as a core component of the intelligent systems they build. They understand that deploying an LLM inside a production workflow is a fundamentally different engineering challenge than using one to write a function, and they have done both. They take initiative without being asked and want ownership of the firm's trajectory, not just their deliverables. Our client is a Benefit corporation - legally committed to creating measurable social value alongside business performance. They offer mission-driven, technically challenging work on complex federal initiatives, paired with direct client access, real ownership of your work product, and a culture that rewards initiative. Responsibilities Client Delivery: • Design and deploy production-grade Agentic AI systems where LLMs serve as operational components to reason, explain, and make decisions within live workflows, • Architect intelligent pipelines combining classical tools (OCR, fuzzy matching, structured query) with LLM-based validation, confidence scoring, fallback logic, and automated logging for auditability and continuous improvement, • Translate ambiguous mission requirements into well-scoped AI system designs; apply prompt and context engineering, RAG, semantic search, and fine-tuning as appropriate; leverage AWS services including Bedrock, Textract, Lambda, and Step Functions, • Use generative AI tooling to accelerate the full development lifecycle: requirements analysis, code generation, test coverage, documentation, and deployment scaffolding, • Document and quality-assure all project work prior to client delivery; attend meetings with agency staff, vendors, and external stakeholders as needed Firm Development: • Lead or contribute to business development, internal tool-building, mentorship, or publication to strengthen Peregrine's AI capabilities and market position Core Technologies: • AWS Certification required: Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level certification, • Hands-on proficiency with AWS tools such as Amazon Bedrock, Textract, Step Functions, Lambda, Glue, CloudFormation, CDK, Cognito and related AWS services, • Python fluency including LangChain and AWS Strands; experience with vector databases and embedding workflows, • Experience with Model Context Protocol (MCP) to connect LLMs to external tools, APIs, and data sources; ability to design and implement MCP servers and clients in production architectures, • Advanced SQL, cloud-native data pipeline management, and ETL workflows Domain Expertise & Professional Skills: • Expert knowledge of LLM behavior, confidence calibration, evaluation, and responsible AI principles. Knowledge includes explainability, auditability, and governance in regulated environments, • Experience with DevSecOps and MLOps: GitHub, CloudFormation, and related tools for version control, CI/CD, pipeline deployments, system and model monitoring, and drift detection, • Domain knowledge of federal data environments, government IT modernization, or public sector AI adoption, • Excellent written and oral communication skills; proven collaborator in professional or academic settings Professional Experience: • Bachelor’s required, advanced degree preferred; Computer Science, Data Science, AI, Applied Mathematics, Statistics, or related quantitative field strongly preferred, • 8+ years in software development, ML engineering, or data science; background in computer science or related technical and/or quantitative fields, • Multi-modal AI experience (vision, document understanding, structured extraction), • Prior consulting, or client-services experience strongly preferred, • Open-source contributions or published GenAI research preferred, • Familiarity with OMB AI guidance and the NIST AI Risk Management Framework preferred, • U.S. citizenship; ability to obtain a Public Trust suitability determination required Our client offers a comprehensive and competitive benefits package, including: • Full health coverage (medical, dental, and vision) with 100% of employee premiums covered, • Life and disability insurance, fully covered by the company, • 401(k) retirement plan with 100% match on contributions up to 4% of salary with immediate vesting, • Unlimited Paid Time Off (PTO) to encourage work-life balance, • Remote location but greater Washington, DC area preferred for hybrid engagement, • Sponsored AWS certification training Our client is an equal opportunity employer.

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out and connect with us on and _. Travel to Office expectationsFor Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. • Identify, prioritize and execute tasks in the software development life cycle., • Work with business to iterate over software requirements., • Develop tools and applications by producing clean, efficient code., • Automate tasks through appropriate tools and scripting., • Analyze and debug systems., • Perform validation and verification testing in a test-driven manner, • Review the work of others, and invite others to review your work., • Collaborate with internal teams and vendors to fix and improve products., • Ensure software is up-to-date with latest technologies., • Work with distributed computing systems like Apache Hudi and Trino for big data processing., • Experience with distributed computing tools like Apache Hudi, Spark, Kafka, Flink, Beam, Trino, DataBricks and other big data technologies., • Experience with distributed storage systems like ADLS, HDFS, S3, DLT etc., • Familiarity with Hadoop, Spark, Databricks or other distributed computing systems., • Understanding of data partitioning and sharding techniques., • Knowledge of distributed computing principles and how they apply to large-scale data processing., • Experience in writing clean code that performs well at scale using languages such as Python, Java etc., • Knowledge of relational databases (e.g. Microsoft SQL Server, MySQL)., • Solid experience writing RESTful API endpoints., • Absolutely love TDD and have working knowledge of it., • Proficient in GIT., • Experience using system and performance monitoring tools (e.g. New Relic, DataDog)., • Excellent organization, critical-thinking and personal leadership skills, • Self-starter with the ability to deliver with minimal supervision., • Bein okay with the uncomfortable feeling that comes from learning new things., • Team player., • Analytical mind with problem-solving aptitude., • Proven experience as a great Engineer., • BSc/BA in Computer Science or a related degree., • Experience with distributed computing, • Experience writing code/scripts in Python, • Experience with Spring Boot., • Nice to have React, Selenium automation and cloud experience., • Experience with Docker, Kubernetes and Istio., • Experience with Ansible., • Experience with Jenkins CI/CD pipeline., • Linux and IP networking knowledge., • Experience with AWS/Azure cloud services or equivalent., • Experience with SAML, OAuth and OpenID Connect., • Experience working on a SaaS product., • Experience with Service Oriented Architecture., • Knowledge of scripting languages such as Python, Bash or Groovy., • On-call experience with production grade systems., • Has mentored others in a professional setting., • Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset. $158,000 - $176,000 a yearAt PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $158,000-$176,000 (not overtime eligible) + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process. #LI-AV1#LI-remote PointClickCare Benefits & Perks: Benefits starting from Day 1!Retirement Plan Matching Flexible Paid Time OffWellness Support Programs and ResourcesParental & Caregiver LeavesFertility & Adoption SupportContinuous Development Support ProgramEmployee Assistance Program Allyship and Inclusion CommunitiesEmployee Recognition … and more! It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact _ should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with . We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. 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We're looking for a builder who thinks like a product manager and codes like an AI-native developer. Someone who ships revenue-generating systems fast and knows that every internal tool today becomes a client product tomorrow. You'll build AI-powered content systems, RevOps analytics pipelines, and sales intelligence tools. Every system solves a real business problem first—if it works for us, we package it and sell it. That's the AIMS model. If you want to build cool tech demos that don't solve business problems, this isn't for you. If you think in terms of LTV, default to shipping over perfecting, and get excited about turning internal tools into external products, you'll thrive here. If you're curious at heart, genuinely love AI, and light up when you get to build with cutting-edge tools, we should talk. Built an AI-powered content creation pipeline that produced 47 personalized LinkedIn posts in under 2 hours—then packaged it as "The Content Pod Playbook" deployed across three client accounts Created a RevOps analytics dashboard pulling CRM data via MCP that tracks cost-per-call by lead source across 720 booked calls and flagged a 23% performance drop in one setter before the weekly review Shipped a sales intelligence tool that extracts call transcriptions into a vector database, surfaces the top 5 objections across all client calls, and automatically routes insights to marketing teams—currently processing 150+ calls per week Built a capacity planning dashboard that tracks sales rep availability, identifies coverage gaps 3 days early, and flags which lead sources are falling behind weekly goals Build & Productize: Create AI systems that solve our problems today and become client products tomorrow. Real business value. Ship Fast: Deploy working tools using Claude Code, Cursor, and AI-assisted workflows. Days to production, not weeks to perfection. Own the Infrastructure: Build with MCP servers, RAG pipelines, dashboards, and automated insights that drive business decisions. Bridge Technical & Business: Translate between engineering reality and business needs. Build tools people actually use. Document Everything: Every system becomes a playbook. Every win gets packaged. Every tool gets evaluated for productization. AI-native development with Claude Code, Cursor, or similar AI-assisted IDEs as your daily driver DevOps fundamentals—Git, CI/CD, containerization, and production discipline MCP server development and connecting AI to real data sources (APIs, databases, CRMs) Vector databases and RAG architecture experience building systems that retrieve and reason over internal data Internal tool building with Streamlit, Next.js, or whatever ships fastest AI security understanding—prompt injection prevention, secrets management, input/output validation Product thinking—you ask "can we sell this?" not just "does it work?" Genuine curiosity—you can name three AI tools you discovered in the last month because you're constantly exploring Bonus: PromptOps experience, orchestration frameworks (LangChain, LangGraph, CrewAI), AI observability tooling (Langfuse, Helicone), experience building tools for marketing/sales operations The best people on our team are curious at heart. They genuinely love AI—not as a buzzword, but as a craft they're constantly refining. They're always learning, always experimenting, and naturally excited (not overwhelmed) by how fast this space is moving. They read release notes for fun. They build side projects on weekends. They see every new AI capability as a business opportunity, not just a technical novelty. If that sounds like you, you'll fit right in. We turn proven RevOps playbooks into AI-powered machines. We're building the operating system for how modern businesses should work. AIMS started from Vendingpreneurs - RevOps systems that generated 1,600+ community members and grew a multi-million dollar portfolio. We asked: "What if we productized these playbooks?" That's exactly what we did. Today, AIMS operates with zero customer acquisition cost. Our client portfolio spans manufacturing, multi-location real estate services, coaching communities, medical services, service-based businesses, and SaaS/retail. What makes us different: Proven Playbooks: Everything we do has already worked at scale AI-First: Automation and AI deliver premium results without premium overhead Built by Operators: We're practitioners, not theorists. We've run these plays ourselves. We're not building another agency. We're building the blueprint for how all agencies should operate in the AI era. Location: Remote (U.S. preferred for time zone alignment) Employment: Full-Time To Apply: Send your resume and a brief note (3-5 sentences): The best AI system you've built (with impact metrics) Why turning internal tools into external products excites you

TL;DR We're hiring a Leader for our AI / ML / Data Science team (US, California Bay Area or Houston preferred) to build and ship production-grade ML for industrial time-series and multimodal data. You'll spend most of your time hands-on (about 70%) delivering end-to-end solutions with customers, and the rest leading and scaling the data science team (about 30%). Position reports to the CTO and will have two direct reports. The Role We're hiring a Leader for our Data Science (DS) team to deliver production-grade ML for industrial systems using time-series and multimodal data (sensor/SCADA/historian, events, maintenance logs, and images/video where relevant). This is a hands-on role where you'll spend most of your time building and shipping (roughly 70% IC), while also leading and growing the team (roughly 30% people leadership). You'll work closely with customers and domain SMEs, ship models to production,and evolve our concept from “models” to an autonomous decisioning system: forecasting → detection/diagnosis → optimization → closed-loop actions (with safety + governance). A key part of the role is advancing our unique IP in closed-loop autonomous operations. What You’ll Do • Own the end-to-end lifecycle: problem framing → data readiness → modeling → deployment → monitoring → iteration., • Define and execute roadmap areas like anomaly/event detection, asset/process health, root-cause support, optimization, and closed-loop decision support., • Build scalable foundations for baselines, drift detection, model observability, and incident response., • Partner with industrial customers and SMEs to translate real process constraints into ML/optimization/decisioning solutions.Drive unsupervised/self-supervised initiatives (representations, clustering, change-point detection, weak supervision, active learning)., • Develop a practical Reinforcement Learning (RL)/decisioning strategy (offline/safe RL, constrained optimization, simulators/digital twins), with guarded rollout patterns., • Lead and mentor DS talent, set processes, frameworks and quality standards (design/code reviews, documentation, postmortems)., • Build and deploy AI / ML solutions / models in production.Own deployment, monitoring, performance validation, and iteration of models in production, • Identify, document, and progress patentable innovations tied to closed-loop autonomy and production deployment. Qualifications • 8+ years in applied AI / ML technologies, including 2+ years leading teams (hiring, mentorship, performance management)., • Deep experience with time-series ML at scale, ideally with messy industrial data [Ex: Frequency-domain time-series techniques (FFT/spectral analysis) and control/optimization methods (MPC-like approaches)]., • Proven track record of shipping and operating AI / ML solutions in production (MLOps, monitoring, drift, retraining, reliability)., • Strong Python and engineering fundamentals (clean code, testing, production patterns)., • Strong communication, comfortable working directly with customers and cross-functional teams. Bonus Points • Offline/safe RL, constrained optimization, and/or simulators/digital twins., • Self-supervised learning or foundation-model approaches for industrial time-series and multimodal fusion., • Robotics and / or Industrial domain experience (manufacturing, energy, chemicals, mining, utilities), including safety/uptime/latency/edge constraints., • Closed-loop or human-in-the-loop decision systems with governance and guardrails., • Experience contributing to IP strategy, invention disclosures, and patent filings. Out of scope • Owning core product UI/UX design or front-end development., • Acting as the sole data engineer for ingestion/ETL across all customers (you'll partner closely with Engineering/Data Engineering where applicable)., • Running IT/OT infrastructure, sensor hardware selection, or plant networking., • Doing research with no production path, success is measured in deployed outcomes and customer impact., • Being a full-time program manager, you will lead execution, but Delivery/CS/PM functions help run the overall program cadence. What success looks like (first 6–12 months) • Customer impact: Delivered measurable improvements tied to customer KPIs (reduced unplanned downtime, improved yield, increased energy efficiency, lower maintenance cost)., • Product impact: Delivered repeatable, documented DS approach, reusable feature/representation layers, evaluation harnesses, and monitoring dashboards., • Model quality: Improved anomaly precision/recall while reducing false positives, clear reduction in alert fatigue and better operator trust., • Time-to-production: Faster iteration cycles from prototype to deployed, monitored models, predictable delivery and fewer "one-off" solutions., • Production reliability: Strong monitoring, drift detection, and incident response practices in place, with clear ownership and runbooks., • Decisioning roadmap: A concrete, milestone-based plan for unsupervised/self-supervised and RL decisioning (simulation readiness, offline evaluation, gated rollout, safety/governance)., • Team health: A high-performing DS team with clear standards, strong mentorship, and a hiring pipeline to scale responsibly. About Kelvin Kelvin.ai is paving a new path toward the future of industrial control applications. Our next-generation autonomous operations platform delivered as SaaS codifies the best engineering knowledge with the power of artificial intelligence. By combining human intelligence and machine learning, Kelvin delivers results across four pillars of customer value: Production Efficiency, Operational Efficiency and People Efficiency. Equal Opportunity Employer Kelvin is deeply committed to building a diverse and inclusive team. We believe that different backgrounds and life experiences make our team better. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Built In LGBTQIA+ Advocacy Award (2022) We are looking for a hands-on product manager to own and evolve how members become eligible, get enrolled, stay engaged, and are continuously recognized across Maven's platform. You will sit at the intersection of complex data integrations, sensitive member data, and the engagement tools and campaigns that drive activation and retention. This role spans technical depth and member impact — from eligibility file ingestion and payer data feeds to the outreach tools and campaigns that turn eligible members into active, engaged participants. You'll partner with engineering, operations, payer partnerships, marketing, and analytics to build reliable, scalable systems that handle sensitive data with care while driving meaningful member outcomes. AI is central to how you build and what you build — from automating data validation to powering intelligent engagement. This is an individual contributor role. You'll be expected to drive outcomes through ownership, cross-functional partnership, and strong hands-on execution. • Own the eligibility and enrollment product area: ingestion, validation, enrollment lifecycle, payer data integrations, and cross-platform eligibility signals, • Build and improve the tools, campaigns, and workflows that drive member activation and engagement — not just data plumbing, but the experiences that turn eligibility into impact, • Partner with engineering, operations, payer partnerships, and marketing to deliver compliant, resilient, and extensible solutions, • Translate complex eligibility rules and payer requirements into intuitive, reliable member-facing experiences, • Drive AI integration into eligibility and engagement workflows — automating validation, improving accuracy, and enabling intelligent outreach, • Use data and insights — product analytics, operational signals, business needs — to inform prioritization and measure impact, • Ensure sensitive member data is handled with the highest standards of privacy, security, and compliance throughout every integration and workflow, • 3+ years of Product Management experience, with hands-on ownership of technical products involving data integrations, eligibility, or health data — healthcare experience strongly preferred, • Direct experience with eligibility data feeds, file formats, enrollment workflows, or payer/employer data exchanges, • Comfort working with technical integration challenges — APIs, data pipelines, file ingestion, cross-system reconciliation — and communicating clearly with engineering and operations partners, • Experience building or improving engagement tools, campaigns, or outreach workflows that drive user activation — not just backend systems, • Attentive to data sensitivity and privacy — you understand the stakes of handling member health and eligibility data and build accordingly, • Excited about AI as both a product capability and a development accelerator — you use AI tools in your own work and think about how AI changes the products you build, • Self-driven, detail-oriented, and effective in fast-moving environments where you need to balance technical precision with speed The base salary range for this role is $160,000 - $185,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on qualifications, experience, and skillset. New York, NY; Remote, US (Hub cities) Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, and Seattle, WA. This role is exclusively open to candidates in these locations. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA or Seattle, WA we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. This role requires active work authorization in the US. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens, • 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g jsmith@mavenclinic.com). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .