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Job Title: Federal Busieness Development Executive (Federal / GovCon Business) Company: Virtual Technologies Group (VTG) Location: MD / DC / NoVa area Travel: 10%-25% Position Type: Full-Time Compensation Range: $120k - $140k base salary, OTE $200k+ Company Overview: Virtual Technologies Group (VTG) is a leading innovator in the technology sector, specializing in the development and implementation of advanced virtual solutions. Our mission is to empower businesses with cutting-edge technology that enhances efficiency, productivity, and connectivity. With a team of highly skilled professionals, we deliver customized solutions tailored to meet the unique needs of our clients across various industries. Our commitment to excellence, innovation, and customer satisfaction drives us to continuously push the boundaries of what is possible. At Virtual Technologies Group, we are dedicated to shaping the future of technology and making a positive impact on the world. Position Overview: The Federal Sales Executive will play a crucial role in driving revenue growth for VTG by identifying and pursuing new business opportunities in the federal and government contracting space. This is a high-activity, "hunter" role designed for individuals who thrive in a structured, performance-driven environment. Through strategic prospecting, lead generation, and relationship building, the Federal Sales Executive will contribute significantly to expanding our client base and will sell the full suite of VTG’s products and service offerings, with a focus on application development, cyber security, cloud engineer and systems engineering. The right candidate will possess a strong understanding of the complex lifecycle of federal procurement, labor categories, various clearance designations, etc. and will be able to leverage existing relationships in the federal space to help VTG win new business and secure new contracts. Extensive experience selling Professional IT Services and IT Staffing within the Federal Government space in the Greater Washington, DC area is a must. Day-To-Day Duties and Responsibilities: Lead Generation & Prospecting: • Activity-Driven Growth: Maintain a consistent, high-volume cadence of outbound activity. We have clear expectations for daily/weekly calls, emails, and LinkedIn outreach to ensure a steady flow of new prospects., • Meeting Generation: Successfully convert cold outreach into qualified discovery meetings and presentations., • Opportunity Creation: Consistently identify and qualify new sales opportunities to meet monthly and quarterly pipeline requirements., • Conduct needs assessments and develop tailored proposals to address client requirements., • Deliver compelling presentations to prospective clients, showcasing VTG's value proposition., • Negotiate and close deals, ensuring mutually beneficial agreements., • Build and maintain strong relationships with key decision-makers at prospective client organizations., • Act as a trusted advisor to clients, providing expert guidance on IT solutions., • Accountability: Accurately track all activities and pipeline stages within VTG’s CRM to provide transparent forecasting., • Prepare regular sales reports and presentations for management., • Collaborate with internal teams, including marketing, sales engineering, and technical support, to ensure successful project delivery., • Bachelor's degree in business, marketing, IT political science or related field; or equivalent military experience in a communications or technical capacity., • Experience: 3+ years of experience in Federal Technical Staffing, Recruiting, or Business Development specifically within the Washington D.C./NoVA corridor, with a focus on new logo acquisition in the federal government space, • Industry Knowledge: A foundational understanding of federal procurement vehicles (GSA Schedules, SEWP, STARS III) and the difference between Prime and Subcontracting relationships., • Technical Literacy: Ability to distinguish between core technical roles and technologies, such as the difference between a Cloud Engineer and a Cybersecurity Analyst, and an understanding of AWS/Azure cloud environments. The ability to speak to technical stakeholders at a high level is critically important., • Communication: Proven ability to "cold-start" relationships with Program Managers and Capture Managers at mid-tier and large-scale System Integrators., • Clearance Familiarity: A solid grasp of the federal clearance process (Secret, TS/SCI, Polygraphs) and how they impact labor rates and project timelines., • Proven ability to work and thrive in an environment with defined activity expectations (calls, emails, and meetings)., • Excellent communication, presentation, and negotiation skills., • Prior experience as a Capture Manager or Technical Recruiter who has successfully transitioned into a hunter-style sales role., • Active Network: An existing, warm network of contacts within federal agencies (e.g., DOD, DHS, HHS) or "Big 5" System Integrators., • Subject Matter Expertise: Deep knowledge of CMMC (Cybersecurity Maturity Model Certification) and NIST compliance standards, with the ability to lead high-level security conversations., • Certifications: Professional certifications such as APMP (Association of Record for Bid, Proposal, and Capture) or basic technical certifications (e.g., AWS Cloud Practitioner)., • A documented track record of helping a firm secure a spot on a major IDIQ or winning a task order valued at $5M+. Why Join Us? At Virtual Technologies Group we provide more than just IT solutions—we offer a dynamic environment where you can learn, grow, and expand your skillset. As a leading managed services, cybersecurity, and IT consulting firm, we support a diverse range of customers, giving you the opportunity to tackle unique challenges and stay ahead in a rapidly evolving industry. Join a team that values innovation, collaboration, and professional development. Whether you're looking to sharpen your technical expertise, work with cutting-edge technology, or make a real impact, we’re committed to helping you build a rewarding career. Benefits Overview: VTG offers a comprehensive benefits package to meet the needs of our employees and their families. Benefits include medical insurance plans, dental insurance, vision insurance, health savings accounts (HSA), flexible spending accounts (FSA), life insurance, short and long-term disability insurance, paid time off and holidays, and a 401(k) with employer match. EEO Statement: VTG is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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 other legally protected status. We believe that diversity strengthens our team and drives innovation. All employment decisions are based on qualifications, merit, and business needs. If you require reasonable accommodation during the application or interview process, please contact ___.

About InOutsource InOutsource is a recognized industry leader in information governance and new business intake consulting for large law firms. We partner with clients to deliver technical implementation services, modernize business processes, and support the successful adoption of key technologies across the legal sector. Our team members are innovative, passionate, and collaborative, and we are growing! About the Role InOutsource is seeking a Systems Integration Specialist with deep expertise in Intapp Walls to join our growing technical implementation practice. As the industry leader in information governance and risk consulting for professional services organizations, we are expanding our Intapp service capabilities to include ethical walls and information barrier solutions. In this role, you will serve as the primary technical resource on Intapp Walls implementation engagements, guiding clients through configuration, data integration, testing, and go-live. You will work in close collaboration with our solution engineers and project managers to achieve exceptional impact with our customers. InOutsource is a Power Partner to Intapp and has the largest team of certified Risk/Compliance implementation experts. The ideal candidate combines strong technical integration skills (SQL, REST APIs, Dell Boomi, and Intapp Integration Builder) with a working knowledge of law firm systems such as iManage, NetDocuments, Aderant, and Elite 3E, and is comfortable interfacing directly with client stakeholders throughout the implementation lifecycle. Duties and Responsibilities Intapp Walls Implementation • Lead end-to-end technical implementation of Intapp Walls for law firm and other professional services customers, from design through deployment and post-go-live support, • Analyze client ethical wall policies, access control requirements, and confidentiality frameworks to translate business rules into Intapp Walls configuration, • Configure the Intapp Walls policy engine to enforce information barriers across client systems including iManage, Microsoft 365, SharePoint, Teams, and Aderant/Elite 3E, • Implement and test automated access management workflows, including matter team membership synchronization and real-time permission enforcement, • Utilize and extend the Intapp Walls to integrate screen enforcement logic with other firm systems, • Manage migration for on-prem Walls customers moving to Intapp Walls Cloud, • Set up monitoring, alerting, and audit reporting capabilities within and outside of Intapp Walls to support compliance needsData Integration & Technical Engineering, • Execute data investigation to understand clients' existing systems, data structures, and integration architecture, • Develop and test ETL processes for bulk data loads and ongoing data synchronization between Intapp Walls and adjacent firm systems, • Build and maintain integrations using Dell Boomi and/or Intapp Integration Builder (Integrate) connecting Intapp Walls to practice management, DMS, and time/billing systems, • Write and optimize SQL queries and stored procedures to support data extraction, transformation, and loading workflows for a variety of software solutions, as needed, • Navigate and construct XML, JSON, and RESTful API integrations as needed across the implementation stack, • Review and advise on client on-premises and cloud infrastructure configurations to support Intapp Walls deployments/migrationsProject & Customer Responsibilities, • Serve as primary technical point of contact during Intapp Walls engagements, attending client project meetings and communicating technical status clearly to both technical and non-technical stakeholders, • Participate in requirements gathering sessions and contribute to solution design documentation, • Collaborate with InOutsource project managers, business consultants, and other team members to ensure coordinated, on-time delivery, • Coordinate with Intapp directly on product-specific issues, certifications, and professional development activities, • Contribute to development and maintenance of InOutsource's repeatable implementation methodologies, templates, and internal tooling for Walls engagements, • Support business development activities by providing technical input during pre-sales discussions and scoping exercises Required • 3+ years of experience in technical implementation or systems integration roles, preferably within legal technology or professional services, • Demonstrated hands-on experience with Intapp Walls (Wall Builder) configuration and administration, including policy engine setup, matter team management, and access control enforcement, • Proficiency in SQL — including query writing, stored procedures, and relational database design principles, • Experience with RESTful and/or SOAP API integrations, • Familiarity with Dell Boomi and at least one other major integration platforms: Intapp Integration Builder (Integrate), MuleSoft, or equivalent, • Experience integrating enterprise applications in a law firm or professional services environment (e.g., iManage, Aderant, Elite 3E, NetDocuments, Microsoft 365), • Strong verbal and written communication skills, with ability to present technical concepts clearly to non-technical audiences, • Ability to manage multiple client engagements concurrently and prioritize under tight deadlines, • Solution-oriented mindset with strong attention to detail and a high standard for qualityPreferred, • Intapp product certification(s), particularly in Walls, Integration Builder, or the broader Intapp Compliance/Risk suite, • Experience with additional Intapp modules: Open (Intake/Conflicts), Terms, Time, or Workspaces, • Familiarity with Microsoft 365 administration, including SharePoint permissions, Teams provisioning, Purview, and Microsoft Graph API, • Experience with ethical walls/information barrier concepts, compliance frameworks (e.g., ABA Model Rules, outside counsel guidelines), or legal risk management contexts, • PowerBI and/or SSRS (SQL Server Reporting Services) report development experience, • Dell Boomi Associate or Professional Developer certification, • Basic knowledge of computer networking, server infrastructure, and cloud deployment (Azure preferred)

Job Title: Pega Quality Assurance Tester JOB TYPE: Full-Time JOB LOCATION: Remote/Tallahassee, FL. JOB SUMMARY: Genesis Consulting is seeking an experienced, forward-thinking Pega Quality Assurance Tester to support a multi-phase cloud modernization initiative involving the rewrite and migration of two critical legacy applications to the Pega Cloud for Government platform. This effort is focused on improving system performance, enhancing user experience, optimizing workflows, strengthening security, and aligning applications to the department’s unified modernization architecture. The QA Tester will play a key role in ensuring quality across the software development lifecycle by validating functionality, integrations, and performance within an agile delivery environment. DUTIES AND RESPONSIBILITIES: · Develop, execute, and maintain test strategies, test plans, and test cases for Pega-based applications undergoing modernization and cloud migration. · Perform functional, regression, integration, system, and user acceptance testing (UAT) for applications built on Pega Cloud for Government. · Validate end-to-end business workflows to ensure alignment with redesigned processes and modernization objectives. · Collaborate with Business Analysts, Developers, and Product Owners to clarify requirements and acceptance criteria. · Participate in Agile ceremonies (sprint planning, daily stand-ups, sprint reviews, retrospectives) and contribute to continuous improvement. · Design and execute test scenarios for data migration and validation, ensuring data integrity between legacy systems and Pega Cloud. · Perform API and integration testing across interfacing systems. · Identify, document, and track defects using tools such as Jira; work closely with development teams to support resolution and retesting. · Support performance and load testing efforts to ensure scalability and reliability of cloud-based applications. · Validate security and access controls, ensuring compliance with state and regulatory requirements. · Maintain test documentation and traceability between requirements, test cases, and defects. · Assist with automation testing initiatives where applicable to improve testing efficiency and coverage. MINIMUM QUALIFICATIONS/EXPERIENCE: · 3+ years of software QA/testing experience, preferably in enterprise or government environments. · Hands-on experience testing applications built on the Pega platform. · Experience with cloud-based applications, ideally within Pega Cloud for Government or similar environments. · Strong understanding of software testing methodologies, SDLC, and Agile frameworks. · Experience with test management and defect tracking tools (e.g., Jira, Azure DevOps, HP ALM). · Experience with API testing tools (e.g., Postman, SoapUI). · Familiarity with data migration testing and validation techniques. · Strong analytical, problem-solving, and communication skills. Preferred Qualifications: · Experience supporting cloud modernization or legacy system transformation projects. · Knowledge of Pega case management, workflows, and rules. · Experience with test automation tools (e.g., Selenium, Pega automation frameworks). · Understanding of security testing and compliance standards in government environments. · Prior experience working with state agencies or regulatory systems. MINIMUM EDUCATION: · Bachelor’s Degree in Computer Science, IT, or related field. Master’s Degree preferred. CERTIFICATIONS: · Pega Certified System Architect (CSA) or Senior System Architect (CSSA) certification preferred.

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an M365 Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Modern Work practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Microsoft 365 solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities • Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team., • Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders., • Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met., • Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft 365 including tenant configuration, security, integrations, endpoint management, data governance, and Artificial Intelligence., • Contribute to expanding our Microsoft partnership & Modern Work practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources., • Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft 365 services, including best practices, implementation strategies, complex architectures., • Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements. Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: * Core Microsoft 365 services including Exchange Online, SharePoint Online, Entra ID Microsoft Teams, and OneDrive for Business. * Microsoft 365 GCC High in support of regulated environments specifically the Defense Industrial Base. * Installation, configuration, and optimization of Entra ID Connect in large complex AD environments. * Microsoft Purview, including Information Protection and Rights Management. * Microsoft Intune for Mobile and Windows Autopilot, app deployment, device lifecycle, configuration profiles. * Microsoft Defender Suite, including Defender for Endpoint, Defender for Cloud Apps, and Defender for Identity. * Microsoft 365 Copilot and Copilot Studio. * Power Platform, including Power Automate and Copilot Agents. * Azure Virtual Desktop and Windows 365 Endpoint management. * Quest On Demand Migration tools and/or 3rd party migration solutions. Microsoft Certifications or the ability to achieve them during the first 6-12 months: * Microsoft 365 Certified: Administrator Expert (MS-102) * Cybersecurity Architect Expert (SC-100) * Security Operations Analyst Associate (SC-200) * Identity and Access Administrator Associate (SC-300) * Information Protection Administrator Associate (SC-401) * Azure Administrator Associate (AZ-104) Additional Requirements • A business and technology mindset that can identify ways to grow our org and expand our capabilities., • Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders., • The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team., • Strong organizational skills and the ability to own customer engagements end-to-end, including pre-sales architecture and design, scope and license planning, solution implementation, project management, communication, and documentation., • Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics., • Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations., • Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs., • Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0, • Deep knowledge of developing advanced PowerShell scripts for automating critical tasks during implementations, migrations and assessments., • The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300)., • The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600)., • Any experience with 3rd party solutions that integrate with Microsoft 365 environments including but not limited to Varonis, Okta, Mimecast, Proofpoint, Druva and/or AvePoint. Full-time, permanent role * Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) * Comprehensive employee benefits plan * Fully remote work

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE As a Sr. Solutions Engineer on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems., • Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts., • Continuously research & learn new technologies and their implementations on Databricks, • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications, • Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers, • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community., • Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions., • Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms. What we look for: • 4+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role, • Experience building distributed data systems, • Comfortable programming in, and debugging, Python and SQL, • Have built solutions with public cloud providers such as AWS, Azure, or GCP, • Expertise in one of the following:, • Data Engineering technologies (Ex: Spark, Hadoop, Kafka), • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow), • Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities., • Available to travel to customers in your region, • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Drupal Developer Employment Type: Full-Time Department: Developer CGS is seeking a Drupal Developer to join our team supporting a wide-ranging technical support initiative for a large Federal agency. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: • Site building, administration, and maintenance of Drupal sites, • Develop custom Drupal themes and modules, • Work closely with the users to understand their requirements, • Work within the Agile methodology helping Sprint teams, • Learn new technologies or off-the-shelf software quickly, • Help back-end and front-end developers work with one another Qualifications: • Bachelor’s Degree in Computer Science or related field, • 3+ years of Drupal experience, • 3+ in Drupal 8/9, • 5+ years of experience with PHP, MySQL, HTML, JQuery, • 3+ years of experience with Drupal content modeling and site governance, • 5+ years of experience with CSS, Sass, and USWDS, • 3+ years of experience with OEL, REHL, and CentOS, • Experience with Apache, • Experience with Google Analytics, • Experience with Azure DevOps/Agile Methodology, • Experience with REST/SOAP APIs, • Experience with CI/CD, • Experience with Drush/Composer Ideally, you will also have: • Experience with Government software development policies and procedures, • Client-facing communication experience, • Federal Agency issued security clearance Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. • Health, Dental, and Vision, • Life Insurance, • 401k, • Flexible Spending Account (Health, Dependent Care, and Commuter), • Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit ___ or contact: Email: ___ #CJ$109,685.33 - $148,858.66 a yearWe 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.

Experience with Slack, Google technologies, Figma, Jira, Gitlab, Postman, Microsoft Azure, Jasmine/Karma, Cordova/Ionic, Rest APIs, Bootstrap, preferred.

Rea is a growing Top 100 business advisory & accounting firm providing our clients services in tax, accounting, and business consulting. We have a ‘People First’ culture and we focus on our employees’ well-being and professional development. With over 400 professionals and locations throughout Ohio, our firm has a culture that respects a work-life balance for our team. We also provide competitive compensation and a robust benefits plan. The Senior Data & Automation Developer will have expertise in Microsoft Azure, Power Automate, Python, SQL, and API integrations to lead the design and implementation of scalable business applications. This role is ideal for someone who thrives on solving complex problems, automating processes, and delivering secure, high-performance solutions that connect systems and streamline operations. The Senior Data & Automation Developer will play a key role in both hands-on development and technical leadership, mentoring junior team members while ensuring projects align with business goals and best practices. Responsibilities • Design, develop, and maintain scalable applications and integrations across cloud and on-premises environments, • Build, optimize, and automate workflows using Power Automate to improve business processes, • Develop robust Python applications for data processing, automation, and backend services, • Write efficient SQL queries, stored procedures, and scripts to manage and analyze complex datasets, • Design and implement secure and reliable API integrations between internal and external systems, • Deploy, manage, and monitor applications in Microsoft Azure environments – specifically Function Apps, • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions, • Ensure application security, performance, and scalability best practices are followed, • Provide technical leadership, mentor junior developers, and support peer code reviews, • Stay up to date with emerging technologies and recommend solutions to improve system efficiency, • Other duties as assigned Knowledge, Skills and Abilities • Strong hands-on experience with Microsoft Azure services (App Services, Logic Apps, Functions, Azure SQL, etc.), • Proven expertise in Power Automate workflow development, • Proficiency in Python for automation, data processing, and backend development, • Advanced SQL skills, including query optimization and database design, • Experience in RESTful API design, integration, and troubleshooting, • Solid understanding of application security, authentication, and authorization standards (OAuth, Azure AD, etc.), • Experience with Agentic AI platforms such as Copilot Studio or ChatGPT Agent, • Strong problem-solving and analytical skills, • Excellent communication and collaboration abilities, • Experience with Git, CI/CD pipelines, Azure DevOps and DevOps best practices preferred, • Familiarity with Power Platform (Power BI, Power Apps) preferred, • Knowledge of containerization (Docker, Kubernetes) preferred, • Experience mentoring or leading a small development team preferred, • Post-secondary education in the field of computer science, information systems, networking, information security, or related discipline, • 5+ years of professional software development experience, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development, • Wellness Resources, • Four (4) weeks PTO, • Twelve (12) paid holidays, of which three (3) are floating holidays Rea does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies without pre-approval from Rea’s Talent team. Pre-approval is required before any external candidate can be submitted. Rea will not be responsible for fees related to unsolicited resumes and for candidates who are sent directly to our hiring managers.

Robotics will have a massive positive impact on the world economy and global human productivity over the coming decade. At Foxglove, we're excited for this future, and we're building powerful open source and commercial tools to accelerate it. We're an experienced team of independent thinkers, with a passion for creating high quality products. We're looking for self-motivated and fast-learning individuals to join our mission. We are looking for an experienced and highly adaptable Forward-Deployed Engineer to join our team at Foxglove. This role is ideal for a product-minded full-stack engineer who thrives in customer-facing environments and enjoys solving complex technical challenges in robotics and observability. As a Forward-Deployed Engineer, you'll work directly with strategic customers to integrate and extend Foxglove's platform within their environments, while also contributing upstream to our core product. This position offers a unique mix of hands-on development, creative problem-solving, and close collaboration with customer teams. You'll act as a trusted engineering partner, ensuring Foxglove is seamlessly woven into customer workflows and identifying opportunities to drive improvements based on real-world use cases. We’re a small global company with team members primarily in the U.S. and Australia. We maintain Pacific Time hours and hire within ±4 hours of U.S. time zones to ensure effective collaboration. For this position, we're looking for someone located in Seattle. * Customer Collaboration – Embed deeply with customer teams to understand business goals, domain constraints, and technical requirements. * Design & Development – Architect and build end-to-end solutions with an experiment-driven, iterative approach (TypeScript/React, Node.js, Python, ROS, SQL). * Scoping & Planning – Draft clear scopes of work, timelines, and success metrics for proofs-of-concept through production roll-outs. * Hands-On Delivery – Code side-by-side with customer engineers, deploying on their cloud or on-prem environments to ensure successful adoption. * Cross-Functional Alignment – Partner closely with Sales and Customer Success on the same accounts to guarantee seamless experiences and measurable outcomes. * Product Feedback Loop – Relay frontline insights to Research, Product, and Engineering; your learnings shape our roadmap. * Internal Enablement – Document best practices, contribute to internal libraries, and mentor future FDEs so the function scales efficiently. * 5+ years of professional experience in JavaScript/TypeScript development. * 3+ years of professional experience in Robotics or Autonomous systems * Experience in customer-facing engineering roles, ideally with robotics or autonomy exposure. * Proven history of rapid prototyping and iterative delivery with external stakeholders. * Front-end strength in React/TypeScript and back-end experience in Node.js or Python; familiarity with C++ or ROS is a plus. * Solid grasp of network and cloud architecture (AWS, GCP, or Azure) and database-backed REST APIs. * Comfortable owning problems end-to-end, learning what’s missing, and communicating technical details to any audience. * Willingness to travel extensively and work on-site with customers when required. * Bonus points: * Experience with multiple database systems * Experience designing SDKs, integration libraries, or internal tooling that reduced services cycle time. * $300 monthly budget towards commuter benefits or building your personal workspace (remote only) * Competitive equity grant in a Series B company * Medical, Dental, Vision, and Term Life insurance coverage at 100% for employees and 75% for dependents * 401k matching up to 4% * 4 weeks vacation, plus holidays and winter break * All expenses paid company off-sites 1-2× per year * Impact: Own growth at a fast-growing, high-leverage moment for the company. * Mission: Accelerate the development of the next generation of robotics and embodied AI. * Team: Work with world-class engineers, designers, and researchers passionate about open-source and developer tools. * Ownership: Drive initiatives end-to-end, with high autonomy and visibility.

We're looking for a VP/Director of Technical Operations to own the reliability, scalability, security, and operational excellence of Shopmonkey's platform. This is a senior leadership role sitting at the intersection of engineering and infrastructure — responsible for the teams and practices that keep our product running at the highest levels of performance and trust. This is not a title for someone who manages from a distance. You will be deeply embedded in the technical and organizational fabric of the company. You'll bring strong opinions about how infrastructure should be built, how incidents should be managed, how security posture should evolve, and how DevOps culture creates faster, safer product delivery. You'll own multi-year roadmaps, manage and grow a team of strong individual contributors, and partner closely with Product, Engineering, and Security to translate business priorities into operational reality. Please note for San Francisco-based area candidates, this would be a hybrid role with 2-3 days/week in office for collaboration and connection. • Define and enforce SLOs, SLAs, and error budgets across Shopmonkey's production systems., • Lead incident management end-to-end: on-call frameworks, blameless postmortems, and systemic remediation., • Drive observability maturity — OpenTelemetry, Prometheus, and the dashboards and alerts that give every team a clear signal., • Ensure 99.9%+ availability for a platform processing critical business operations for thousands of shops., • Own Shopmonkey's GCP-based cloud infrastructure: provisioning, scaling, cost optimization, and architectural evolution., • Lead the internal platform team that builds developer tooling, CI/CD pipelines, and deployment infrastructure that accelerates every engineering squad., • Champion infrastructure-as-code practices, making our environments reproducible, auditable, and fast to provision., • Partner with senior engineers on scalability decisions as we grow our customer base and data volumes., • Own the engineering infrastructure and software budget as well as vendor relationships., • Own the technical security posture of the platform: vulnerability management, secrets management, network security, and hardening., • Lead compliance programs and certifications relevant to Shopmonkey's enterprise customers and growth trajectory (SOC 2 Type II, and beyond)., • Build a culture of security that is embedded into the development lifecycle — not bolted on at the end., • Treat compliance not as a checkbox but as a multi-pillar investment that compounds trust with customers over time., • Evangelize and operationalize DevOps principles across engineering: CI/CD, feature flags, progressive deployment, automated testing infrastructure., • Drive down time-to-deploy, mean time to recovery (MTTR), and toil across the org., • Partner with engineering leadership to ensure platform investments directly accelerate squad velocity., • Build, retain, and grow a high-performing team spanning DevOps, SRE, Platform Engineering, and Infrastructure., • Define org structure, hiring plans, and career ladders for TechOps disciplines., • Develop managers and senior ICs; establish a culture of ownership, psychological safety, and continuous learning., • Lead with a servant-leadership mindset — remove blockers, amplify great work, and hold the bar high., • 10+ years in infrastructure, platform engineering, SRE, or DevOps — with at least 4–5 years in a senior leadership role (Director or VP level), • Proven experience owning production reliability at a SaaS company with significant scale and uptime requirements., • Demonstrated track record in building and evolving DevOps/platform engineering organizations from the ground up or through significant transformation., • Experience leading cloud-native infrastructure on GCP, AWS, or Azure — with deep familiarity with Kubernetes, container orchestration, and managed cloud services., • Prior ownership of security and compliance programs (SOC 2, ISO 27001, or similar); able to fluently translate security requirements into engineering work., • Experience in companies ranging from growth-stage to mid-scale SaaS ($50M–$500M ARR range), where you've had to build structure while maintaining velocity., • Strong working knowledge of modern observability stacks (OpenTelemetry, Prometheus, Grafana, Datadog, or equivalent)., • Fluency in infrastructure-as-code tooling (Terraform, Pulumi, or equivalent)., • Solid understanding of CI/CD architectures, deployment strategies (canary, blue/green, progressive rollout), and release engineering., • Comfortable reviewing architectural decisions at the system design level and contributing to technical roadmaps alongside principal engineers., • Familiarity with data infrastructure considerations (managed databases at scale, streaming platforms like NATS/Kafka, ClickHouse-style OLAP)., • Exceptional communicator who can contextualize technical risk and infrastructure investment in business terms for a C-suite audience., • Track record of building inclusive, remote-first teams with strong async communication habits and high accountability., • Able to operate in ambiguity — defining the problem, structuring the org, and making progress before the perfect playbook exists., • Sound business judgment: able to sequence investments, make trade-offs between speed and stability, and push back when priorities don't make sense. In the United States the range is typically $200,000 to $260,000 with bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included. Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (benefits below are mainly for U.S. based, full-time employees). Other benefits vary upon location outside of the United States, and employment status: • Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date, • Short term and long term disability, • Employee assistance program, • Reimbursement for a personal health and wellness membership, • Generous parental leave, • 401(k) available upon hire, • 11 paid holidays, • Flexible time off - take the time off you need!, • Matching donations for approved charitable organizations, • Group volunteer efforts Check out our ___, ___, or ___ about what it’s like to work at Shopmonkey. Join our team of ___ who love what they do, and change the auto industry by helping every shop thrive. The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience. Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform. Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B. In 2021 Shopmonkey ___ a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth. In 2022, Shopmonkey ___ #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products & Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in ______, and ___! Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission. Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 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. Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at ___. Please note: Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for: • Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications., • Our Talent Acquisition team only corresponds from email addresses with the domain ‘@Shopmonkey.io’. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer., • While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey’s ___ page, or our official ___ The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from ___ and ___. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.

Associate Product Manager Join an Innovative Company with a Dynamic Culture! Our company prides itself on a culture of teamwork and camaraderie. Our primary goal is to attract and retain long-term employees with a friendly work environment, quality products, and challenging work. Advanced Business Integrators, Inc. (ABI) has always loved the challenge of automating monumental manual tasks, hence our motto “Managing the Unmanageable”. ABI MasterMind® is the World’s Premier Workforce Management Solution ABI MasterMind® serves over 900 of the most well-known venues in North America. ABI’s dynamic environment breeds a feeling of “family” that appreciates values and collaboration. ABI’s founder has deep roots in technology, including financial accounting, payroll, HRIS, and computer networking. Over 25 years ago, ABI’s founder addressed the need for more efficient technology and oversaw the team that built an amazing product to automate a highly seasonal and variable workforce for a Major League Baseball stadium. Today, ABI is the premier company in the public assembly workforce management industry, servicing a highly loyal customer base. We listen closely to our clients and continuously strive to improve our interactions and products; we live by the mantra “Hug the Customer”. THE OPPORTUNITY ABI is seeking a dynamic and detail-oriented, Associate Product Manager to gather business requirements and support the successful delivery of software solutions. This role bridges business needs, customer insights, and technical implementation, collaborating with engineering, customer success, and product teams to drive continuous product improvements and enhance customer satisfaction. During the first 30-90 days, you will undergo product training, self-study, and internal shadowing to build industry expertise, culminating in knowledge evaluations. The Associate Product Manager will report to the Product Director and will grow towards the Product Manager or Business Analyst roles. OUR EMPLOYEE COMPENSATION AND BENEFITS SHOW HOW MUCH WE VALUE OUR TEAM! • Starting salary- $80,000 - $105,000 depending on experience, • Hybrid work schedule; 75% remote, 25% in office after initial training period MUST LIVE WITHIN a 30-mile radius Sacramento, • Medical, Dental, Vision, Long-term Disability, Accidental death/dismemberment, 401(k), and Life insurance, • Benefit premiums for the employee on several health plans are paid 100% by the company Customer Feedback & Product Strategy • Develop a deep understanding of the product, industry, and customer needs, • Gather and organize insights from users and stakeholders to influence product decisions, • Collaborate with teams to enhance usability and customer satisfaction, • Work with stakeholders to define business problems and solutions, • Act as a liaison between business teams, engineering, and product management, • Support engineering, QA, and customer support in the development, testing, and deployment, • Document and track reported issues for timely resolution, • Review and test early-stage deliverables to ensure high-quality outcomes, • 3+ years of experience with ABI MasterMind(R) or similar workforce management, HR, ERP, or accounting solutions, • Bachelor's degree or equivalent technology certification, • Experience gathering and documenting business requirements, • Experience working with engineering teams on software development, • 3+ years in business analysis or product management, • Strong technical writing, communication, and stakeholder management, • Analytical mindset with strong problem-solving abilities, • Proficient in Azure DevOps, Atlassian (JIRA/Confluence), or similar tools; and Microsoft Office

Proficiency with at least one major cloud provider, including AWS, Azure, or GCP and Infrastructure-as-code (IaC) capabilities using Terraform, Pulumi, or similar tools.

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

Job Title: Sitefinity Developer (Remote) Location: Raleigh, NC Duration: 12+ Months Job Description: The Sitefinity Web Portal Developer is a key member of the Permitting Transformation (PTP) solution development team with the client. The candidate will focus on both front-end and backend development and integrate the portal with an MS Power Platform (Dynamics) solution as well as other systems, applications, and authentication services. The portal developer will work closely with our Lead Developer and Architect, a team of developers, and other PTP staff such as business analysts. Skills: SkillRequired/DesiredAmountof Experience Sitefinity development3Years Sitefinity 14.x administration3Years Standards-based .Net development experience5Years MVC development experience5Years Integrate portal with an EPA shared services registration data2Years Familiar with agile practices such as iterative development2Years Demonstrated technical ability in learning new technologies and evolving technical stack and processes2Years Engage in agile practices such as iterative development2Years Experience with TPC (Desired)Desired2Years DevOps and deployment pipeline familiarity2Years Experience working in Azure DevOps and using agile development practices2Years Strong communications – verbal and written2Years

Valinor is a new type of defense and government tech company focused on solving the problems others don’t. Our unique model of centralized go-to-market and decentralized engineering allows us to move with unparalleled efficiency to identify unmet needs, build right-sized solutions, and get products where they matter most - in the hands of users. Unlike others in the space, who focus on the flashy problems, Valinor exists to solve the quiet, unaddressed problems–the small but significant ones that lead to cracks in the country’s strength, stability, and security. Backed by General Catalyst, Founders Fund, and Friends & Family Capital, Valinor was founded in 2024 and has established strategic partnerships with Palantir, Anduril, and Helsing. We are building the dream team, and we want you on it. We're building defense and aerospace technology that has to actually work — in the field, under compliance constraints, across hardware and software simultaneously. To do that, we need someone who can build and own the internal systems that make every team faster. You'll be the person who looks at a broken workflow, whether it's a hardware test pipeline, a supply chain process, a deployment bottleneck, or a security gap and builds something that fixes it for good. You'll tie together hardware, software, cloud infrastructure and AI tooling into a cohesive internal platform that Valinor's product companies run on. You'll work across every subsidiary in the portfolio, embedded with engineering and ops teams, and you'll have wide latitude to choose the right tools and build the right systems * Embed directly with product companies across the Valinor ecosystem — you're not working from a distance. You'll sit with engineering and ops teams at each subsidiary, understand how they actually work, and build solutions shaped around their real constraints and workflows. Your impact is visible and direct. * Turn what you learn in the field into lasting infrastructure — when you identify a broken process or a gap that's slowing a product team down, you own the fix end-to-end. You're not writing a recommendation and handing it off; you're building the thing and shipping it. * Be the connective tissue across hardware, software, supply chain, and DevOps — you'll frequently be the person who sees that teams are solving adjacent problems in isolation and builds the integration that makes them work together. That cross-functional view is one of the most valuable things you'll bring. * Own internal infrastructure end-to-end — cloud environments (Azure, AWS, GCP), edge deployments, and the pipelines that connect them. You set it up, you keep it running, you make it better. * Build the internal developer platform — CI/CD pipelines, GitHub Actions workflows, artifact management (JFrog), containerization (Docker/Kubernetes), and the tooling that lets engineers ship faster and safer. * Automate hardware test pipelines and logging — build systems that capture, store, and surface data from hardware testing across embedded and physical systems. Make test results traceable and repeatable. * Wire together supply chain and inventory workflows — integrate procurement, parts tracking, and inventory systems into the broader engineering and ops stack so nothing falls through the cracks. * Build continuous security automations — STIG checks, FedRAMP control validation, vulnerability scanning, and compliance reporting shouldn't be manual processes. Automate them. * Bring AI into internal workflows — identify high-leverage opportunities to use LLMs and AI tooling to accelerate engineering, ops, and compliance work. Build and deploy those tools internally. * Own government accreditation deployments — manage the deployment process for software delivered to government environments, ensuring we meet IL5, FedRAMP, and STIG requirements at every step. * 3+ years of real-world experience building and operating production systems — ideally across more than one domain * A builder mentality: you've owned systems over time, not just handed them off after initial setup * Strong scripting and automation skills in Python and/or TypeScript * Hands-on experience with CI/CD (GitHub Actions), containers (Docker/Kubernetes), and cloud platforms * AI is part of how you work you use it daily for coding, debugging, and documentation, and you've built AI-powered workflows for real internal use cases (compliance reporting, code review, log triage, security automation, etc.) * You can build with AI APIs end-to-end LLM integration, prompt engineering, orchestration frameworks. Not an ML engineer, but a builder who ships AI-powered tools * Comfort working across the stack and learning fast * Some exposure to hardware-adjacent workflows (test data, embedded systems, firmware pipelines) is a strong plus * Familiarity with government compliance environments (FedRAMP, IL5, STIG) or a strong appetite to learn them * You work well with ambiguity — a lot of what you'll build doesn't have a spec yet * Eligible to obtain and maintain an active U.S. Secret security clearance * Competitive salary, equity packages, and benefits, including health, dental, and vision insurance - fully covered for employees, 401K, development stipends, among others. * Unlimited PTO and two-week company holiday at the end of every calendar year. * We are a pro-mental health and pro-family company - we actually encourage employees to spend time with themselves and their families. Valinor also provides fertility benefits to those just beginning that journey. * Fun work environment - we like to laugh and take care of each other, but we also deeply respect the mission in front of us. * Headquartered in Washington DC with additional coworking spaces throughout the country. We also host team offsites and colocations around the U.S. This role requires the candidate be eligible to obtain and maintain a U.S. security clearance at the SECRET level. Valinor is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Valinor team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense and government technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you!

Provide subject matter expertise in data modeling, ETL architecture, semantic layer design, and analytics lifecycle best practices to shape and transform data from D365 F&O and Azure Data Lake into optimized structures for enterprise analytics. Success in this role requires strong proficiency in ent

MuleSoft Lead Developer Location: Remote (EST preferred) Key Responsibilities • Lead integration strategy and execution: Design and deliver scalable, reusable MuleSoft APIs and integrations while ensuring alignment with business needs and technical standards., • Collaborate at all levels: Partner with architects, business analysts, and stakeholders (including client executives) to gather integration requirements and clearly communicate implementation strategies., • Hands-on leadership: While not a full-time developer role, be capable of jumping into the code and logs when necessary to troubleshoot issues and guide solutions., • Solution design and triage: Analyze integration problems at a high level, identify root causes, and define effective solutions. Be able to explain the how and why behind your approach., • Establish best practices: Define and enforce MuleSoft development best practices, coding standards, and integration patterns., • Manage full API lifecycle: Oversee design, development, deployment, monitoring, and versioning of APIs and integrations., • Mentor and guide developers: Provide technical leadership through code reviews, training, and coaching, ensuring quality and knowledge sharing., • Ensure security and compliance: Adhere to data privacy standards and corporate governance policies., • Engage in Agile delivery: Actively participate in Agile/Scrum ceremonies and support sprint planning, estimation, and delivery. Required Qualifications • Bachelor’s degree in Computer Science, Information Technology, or a related field., • 5+ years of integration development experience, including 5+ years in MuleSoft., • MuleSoft Certified Developer (Level 1 or 2) and/or MuleSoft Certified Integration Architect preferred., • Strong understanding of RESTful APIs, RAML, JSON, XML, and SOAP., • Hands-on experience with Anypoint Studio, API Manager, Runtime Manager, and DataWeave., • Skilled at log analysis and troubleshooting, with the ability to pinpoint issues and design solutions quickly., • Familiarity with CI/CD pipelines (e.g., Git, Jenkins) and DevOps practices., • Knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) is a plus., • Experience integrating with Salesforce and related ecosystems is strongly preferred., • Excellent problem-solving, leadership, and communication skills with the ability to work directly with senior stakeholders. What We’re Looking For This is a leadership role with a hands-on edge. We need someone who can step back and drive overall solution architecture while also rolling up their sleeves when required. You must be able to: • Explain implementation strategies at a high level to business and technical stakeholders., • Dive deep into logs and code to triage and resolve issues., • Walk through real-world examples of your problem-solving process., • Define and enforce best practices to ensure scalable and secure integrations.

Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions. Our AI workflow and analytics platform for lenders is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system. Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business. We’re looking for a Mortgage Forward-Deployed Engineer (FDE) to join our team and be the bridge between our product and our customers. This is not your standard engineering role, you’ll be out in the field, working directly with clients, writing production code, and helping them reimagine how they run their business with our platform. You will be working directly with our Account Management team, implementation team and onboarding team. This role reports to the VP of Account Management. As an FDE, you’ll wear different hats: engineer, architect, and trusted advisor. One day you might be prototyping a custom integration; the next, you’re running a proof-of-value with a C-suite exec; the next, you’re feeding back product insights that shape the roadmap. If you like variety, ownership, and making real-world impact, you’ll love this role. This role will report to our Lead Forward-Deployed Engineer and be a part of the Account Management team. What you'll do: • Act as a technical expert and trusted advisor during the post-sales process, embed with customer teams to understand their workflows and demonstrate how Ocrolus’ technology improves efficiency in mortgage origination., • Review and consult on technical solutions, APIs, microservices, data pipelines, and integrations that solve real business problems., • Build and support technical solutions and integrations for mortgage clients using Ocrolus, Encompass, and other POS/LOS mortgage platforms., • Run proof-of-concepts and proof-of-value engagements that demonstrate ROI fast., • Troubleshoot gnarly technical issues in live environments and get things back on track., • Partner with the Account Management and Product teams to deliver value, and influence the roadmap., • Travel occasionally (~30–50%) to customer sites and industry events Who we're looking for: (Skill Sets and Qualifications) • 3+ years of experience in software engineering, solutions engineering, or technical consulting., • 3+ years of a background in mortgage, or lending workflows., • Strong understanding and experience with Encompass, • Strong consultative sales/account management approach—able to map technology to business challenges and drive change management conversations., • Excellent communication and presentation skills, with experience engaging senior mortgage executives., • Backend: Python; APIs; Encompass Developer Connect; SQL., • Frontend: React/TypeScript; JavaScript with ICE Secure Scripting Framework (SSF) for Encompass custom form and workflow logic., • Supporting: Familiarity with mortgage LOS/POS platforms (Encompass, Blend, SimpleNexus, Floify); Git; cloud basics (AWS/Azure)., • Thrive in fast-paced, ambiguous environments where you figure it out and get it done. Nice to Have: • Experience with SaaS integrations or loan origination systems., • Additional mortgage LOS/POS experience, • Exposure to AI/ML or generative AI., • You’ll have ownership from day one, our FDEs lead projects end-to-end., • You’ll work directly with customers and see the immediate impact of what you build., • You’ll shape the product by bringing the voice of the customer straight to engineering., • You’ll work directly with a team focused on creating an excellent client experience, • You’ll have fun working with a highly proactive, collaborative team Note: The full-time salary range for this role is between $150,000 - $170,000 + commission + equity + benefits. Base pay offered may vary depending on job-related knowledge, skills, experience, and market location. Disclosure as required by N.Y.C. Admin. Code §§ 8-102 and 8-107(32) of the full time salary compensation range for this role when being hired into our offices in New York City. Life at Ocrolus We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact. Our culture is grounded in four core values: Empathy – Understand and serve with compassion Curiosity – Explore new ideas and question the status quo Humility – Listen, be grounded, and remain open-minded Ownership – Love what you do, work hard, and deliver excellence We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. We look forward to building the future of lending together.

Full-time Description Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter • A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality, • Your approach to reducing incorrect or unsupported outputs, • An example of how you supported other developers or teams in adopting AI capabilities, • Your physical remote work location state, • Salary expectations Responsibilities: • Platform Architecture & Evolution: Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes., • Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production., • RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources., • Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior., • Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns., • Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate., • Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling., • Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production., • Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed., • Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Education & Certification • College degree or Programming Certification (preferred), • 5+ years of equivalent work experience, • Experience building or working with AI/LLM-based systems in a production or near-production environment, • Strong understanding of agent-based patterns (ReAct, tool usage, etc.), • Experience with retrieval-based systems (RAG), vector stores, or search pipelines, • Familiarity with evaluating non-deterministic system outputs, • Experience improving system quality through testing and iteration, • Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred, • Ability to work across technologies and integrate AI solutions into an existing enterprise environment, • Experience working with multiple LLM providers, • Familiarity with emerging tools and frameworks in the agentic AI space, • Experience integrating with enterprise systems and data sources, • Experience mentoring or supporting other developers, • Strategic thinker with strong analytical and problem-solving skills, • Technically proficient with broad systems knowledge, • Excellent interpersonal, written, and verbal communication skills, • Self-directed, collaborative, and highly organized, • Customer-oriented and able to navigate high-pressure environments, • Flexible and adaptable in regards to learning and understanding new technologies., • Exceptional organizational skills and ability to keep track of multiple projects at a time., • Ability to conduct research into software-related issues and products., • Technically proficient., • Exceptional attention to detail., • Ability to work both independently and in a team-oriented, collaborative environment., • Remote work environment following core hours 8AM-5PM Central Time, • Overtime may be required to meet project deadlines or monitor system processes., • Sitting for extended periods of time., • Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices., • Minimal travel will be required for the purpose of off-site software training and team meetings., • Physically able to participate in virtual and in-person training sessions, presentations, and meetings.

Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial. The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change. WHAT WE DO Relativity's engineering organization is large, distributed, and fast moving, with teams empowered to choose the tools and practices that best fit their domain. Engineering plays a critical role in delivering a secure, scalable cloud-based SaaS platform that supports high-stakes legal work around the world. Infrastructure TPM Team The Infrastructure Technical Project Management function partners closely with engineering and product leaders to drive execution across complex, cross-functional initiatives. This role requires senior-level judgment and independent ownership. You will operate as a strategic delivery leader, not a meeting facilitator or status collector, by anticipating follow-up questions, surfacing what's missing, and pushing teams from noise to signal. You will help leaders move from status updates to decision support by clarifying outcomes, tradeoffs, dependencies, and risks, and by bringing strong accountability mechanisms that accelerate execution without adding unnecessary overhead. Relativity is also leaning heavily into AI across both our product offerings and our internal engineering practices. This role requires curiosity, experimentation, and practical application of AI-enabled tools to improve delivery quality, increase speed, and reduce manual overhead in planning, reporting, and project execution management. Job Description and Requirements WHAT YOU'LL DO * Lead the end-to-end delivery of complex technical initiatives across engineering domains * Drive alignment on business outcomes, scope, sequencing, risks, dependencies, ownership, and success measures across multiple teams * Translate ambiguous goals into clear execution plans, operating rhythms, decision points, and accountability structures that enable teams to move faster * Operate as a strategic delivery leader by asking the next question, surfacing gaps, and pushing for the rigor needed to execute well * Challenge weak assumptions, plans, timelines, and inputs when needed to improve decision quality and reduce delivery risk * Identifyrisks early, assess impact, drive mitigation planning, and escalate with recommendations rather than simply reporting problems * Partner closely with engineering leaders and teams to understand technical context, architecture implications, dependencies, and delivery constraints well enough to guide execution credibly * Provide concise, leadership-ready updates focused on progress, risks, changes, decisions needed, and recommended actions * Facilitate discussions that drive teams to closure on priorities, tradeoffs, commitments, and next steps * Improve execution quality byidentifyingpatterns, friction points, and systemic gaps across teams and helping implement better ways of working * Explore, adopt, and help scale AI-enabled tools and practices that improve project management, including planning support, technical synthesis, status reporting, dependency analysis, risk detection, and decision support * Lead or support initiatives tied to AI-enabled product capabilities, AI experimentation, and AI-related engineering investments as priorities evolve * Partner effectively with engineering and product leaders as the organization increasingly incorporates AI into its product strategy, development approach, and internal tooling * Travel as needed for team and company meetings WHAT WE'RE LOOKING FOR Required * 5 to 7 years of experience leading medium to large technical projects or programs in cloud, SaaS, infrastructure, or engineering-focused environments * Advancedproficiencywith Jira Cloud, Jira Advanced Roadmaps, Confluence,andAsana * Demonstrated ability to lead complex cross-functional work across multiple engineering teams with differing priorities, tools, and delivery styles * Experience driving alignment, decision-making, and delivery across senior engineers, engineering managers, and cross-functional leaders in a fast-moving environment * Strong technical fluency and systems thinking, with the ability to understand architecture-level concepts, technical dependencies, and engineering tradeoffs * Clear understanding of cloud infrastructure, automation, CI/CD, observability, and modern engineering practices, with the ability to apply that context in planning, dependency management, and delivery decisions. * Proven ability to create clarity in ambiguous situations and translate incomplete information into actionable execution plans * Track recordofidentifyingdelivery risks early, driving mitigation, and improving outcomes through proactive intervention * Proven ability to describe delivered work in terms of outcomes, metrics, tradeoffs, and business or engineering impact, not just activities completed * Strong judgment and executive communication skills, including the ability to synthesize complexity into concise, decision-ready updates * Demonstrated ability to influence without authority and hold teams accountable through partnership, credibility, and follow-through * Hands-on experience working with GitHub and related engineeringworkflow toolingto support planning, execution tracking, issue management, and cross-team coordination. * Practical interest in AI and emerging technologies, including hands-on use of AI-assisted tools to improve delivery outcomes or team workflows * Comfortoperatingin an organization that is actively increasing investment in AI-driven product capabilities and AI-enabled engineering practices Preferred * Experience working in Azure, AWS, or GCP-based environments * Experience working with distributed engineering teams across regions, including the ability to drive alignment, accountability, and execution across time zones and differing team norms * Experience supporting engineering efficiency, platform automation, cost optimization, or operational improvement initiatives in technical environments * Experience building or improving TPM operating models, governance, reporting, or portfolio-level execution practices * Experience using AI tools to support planning, communication, meeting synthesis, reporting, risk identification, dependency analysis, or workflow automation * Exposure to AI or machine learning initiatives through direct project support or self-driven learning and experimentation * Experiencemanagingcross-team planning, andoperatingeffectively even when data quality is imperfect * Relevant project or program management certifications such as PMP, PMI-ACP, PMI-RMP, or equivalent Agile credentials WHY WE COULD BE A GREAT FIT Impactful Mission * Help teams deliver technology that enables organizations to organize data, discover the truth, and act on it in high-stakes legal and regulatory matters. Growth Path * Opportunities to work across complex infrastructure and platform initiatives while influencing how teams plan, execute, and adopt AI-enabled ways of working. Engineering and Delivery Culture * Strong emphasis on judgment, accountability, execution quality, and continuous improvement without unnecessary process overhead. Inclusive Environment * Diverse backgrounds and perspectives are valued and make us stronger. Community Impact * Volunteer opportunities and company-sponsored charitable programs. Compensation and Benefits * Competitive salary, annual performance bonus, long-term incentives, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, home office stipend, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $96,000 and $144,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Budget Management, Change Management, Leadership, Process Improvements, Project Management, Risk Management, Stakeholder Management, Strategic Planning, Team Leadership, Vendor Management

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We're building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. The Global Forward Deployments (GFD) organization operates as a critical horizontal layer across Scale, sitting at the intersection of Engineering, Product, Design (EPD), Delivery, and GTM. As our business scales, we are growing the GFD Project Management Office (PMO) to act as the connective tissue that brings structure to ambiguity by aligning teams, organizing cross-functional workstreams, and keeping priorities coordinated across the organization. As a Technical Program Manager within this expanding PMO, you will drive execution across diverse initiatives by partnering closely with Infrastructure & Security, Product, Software Engineering, Machine Learning, Mission/Field Engineering, Delivery, and Go-To-Market (GTM) teams. Your focus will be integrating engineering roadmaps, customer delivery timelines, and security constraints to enable successful deployments in complex, isolated environments. • Lead as a Horizontal PMO Partner: Serve as a central node within the growing GFD PMO, driving alignment across Engineering, Product, and Design (EPD) initiatives and ensuring priorities remain top-of-mind across the organization., • Spearhead Niche Initiatives: Take on Scale's difficult-but-ambiguous problems, breaking them down in a structured way and driving them to successful outcomes. You will dive into both technology and organizational processes to craft effective solutions and gain efficiencies, track resourcing and vendor management, and align internal resources to solve unique organizational, and technical challenges., • Bridge EPD, Delivery, and GTM: Act as the primary technical program manager uniting GFD with Product, ML, Mission & Field Engineering, Delivery, and GTM teams to wrangle contractual deliverables across EPD, unblock complex custom integrations, and drive technical milestones against critical contract checkpoints., • Optimize Cross-Functional Processes: Collaborate with stakeholders across the company to improve processes and procedures, ensuring Scale's continued success., • Foster Communication: Create an effective feedback loop between all teams within EPD as well as with partner teams like Legal, BizOps, and Partnerships., • Current or past Security Clearance (TS/SCI preferred)., • Proven experience partnering closely with Product and cross-functional Engineering teams to align technical roadmaps, manage dependencies, and drive complex, multi-team initiatives., • Experience in project management, including planning, organizing, and managing resources., • A demonstrated capacity to operate effectively and maintain high-quality output within a high-tempo, ambiguous, or chaotic environment., • Experience in security and compliance, with a focus on cross-departmental collaboration., • Experience in delivering secure and reliable solutions within classified, isolated, and air-gapped environments., • Demonstrated understanding of security practices within cloud environments (e.g., AWS, Azure, GCP)., • Experience in a high growth, fast-paced technology company., • Experience in microservice design and Kubernetes-based container orchestration., • Experience applying AI or Machine Learning., • Strong analytical skills, with experience using data analysis tools or software., • Demonstrated history of fostering cross-functional collaboration with Delivery, Sales, and Engineering teams., • Backlog refinement & roadmapping experience with tools like Linear and JIRA., • Proven experience translating complex SOW requirements into tactical engineering deliverables, • Experience maintaining alignment with organizational capacity planning and delivery timelines. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$136,000—$260,000 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is:$136,000—$260,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

We are seeking a highly skilled Infrastructure Security Engineer to join our team. This role is integral to ensuring the security and integrity of our platform. You will be responsible for securing large cloud environments, orchestrating and securing various compute clusters, and reviewing infrastructure as code. Your expertise in cloud security, infrastructure automation, and advanced security practices will be essential in maintaining and enhancing our security posture. You will: • Secure infrastructure across large cloud hosting providers (e.g., AWS, Azure, GCP)., • Implement and maintain robust security configurations and policies for cloud environments., • Conduct regular security assessments and audits of infrastructure to identify vulnerabilities and areas for improvement., • Develop and enforce security best practices for infrastructure automation and orchestration., • Collaborate with DeveloperExperience, IT, and product teams to integrate security into all stages of the infrastructure lifecycle., • Review and secure infrastructure as code (e.g., Terraform, CloudFormation)., • Educate and mentor team members on infrastructure security best practices and emerging threats. Ideally, you'd have: • Proven experience as a Security Engineer with a focus on product security., • Proficiency in NodeJS, TypeScript, and Kubernetes., • Experience with orchestrating and securing GPU clusters., • Proficiency in infrastructure as code tools such as Terraform and CloudFormation., • Excellent communication skills, with the ability to clearly explain technical concepts and their implications to both technical and non-technical stakeholders., • Demonstrated ability to influence security strategies and drive improvements within an organization., • Relevant security certifications (e.g., AWS Certified Security Specialty, Certified Cloud Security Professional) are a plus. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Role Overview: The Cloud Architect will design, implement, and optimize the company's multi-cloud infrastructure, spanning Azure, AWS, and GCP clouds. The role will help lead the development of firm's cloud strategy, ensuring scalability, security, resiliency, and cost-effectiveness across the organization's cloud systems. The role will work closely with cloud engineers within the Cloud Engineering & Operations and Network Operations departments, as well as supporting stakeholders across various departments to lead cloud adoption, enhance cloud maturity, improve performance, implement best practices, and drive cloud-based innovation. The Cloud Architect will ensure that Cornerstone's cloud capabilities align with business needs and will scale to meet future growth. At Cornerstone Research, you will be part of a thriving, 1,000-strong team that spans nine offices, comprises more than 55 nationalities, and leads the industry in its commitment to develop team members across all levels. Inc. Magazine has recognized Cornerstone Research three times as a Best Workplace for its outstanding employee engagement, collaborative culture, and professional growth opportunities. You'll Love It Here If You: * Embrace learning and continuous improvement * Set and strive for a high bar of excellence * Believe that teamwork leads to success: ask us what it means to be #onefirmfirm! * Take pride in always doing your best work, even if it's harder or takes longer * Are passionate about what you do How You'll Help Our Team Succeed: • Provides strategic and technical oversight in developing, managing, and optimizing multi-cloud environments (Azure, AWS, GCP)., • Designs and implements automation tools for efficient cloud service deployment to meet business demands., • Leads cloud architecture and governance initiatives, ensuring security, scalability, and compliance across all platforms., • Manages and optimizes cloud costs, ensuring efficient use of resources and reducing operational expenses., • Implements and maintains secure cloud connectivity solutions (AWS Direct Connect, Azure Express Route, GCP Interconnect)., • Oversees cloud security frameworks, auditing accounts, permissions, and access rights to mitigate risks and ensure compliance., • Collaborates with IT teams to integrate cloud solutions with on-premises infrastructure that drives innovation., • Ensures resiliency by managing critical disaster recovery and response plans for cloud outages, security events, and incidents., • Provides leadership and mentorship to cloud engineers, ensuring adherence to cloud best practices., • Maintains comprehensive documentation, disaster recovery plans, and performs ongoing gap analysis to optimize cloud performance., • Creates and maintains cloud architecture diagrams. What You'll Need to Be Successful: • 10+ years of experience in cloud architecture, infrastructure design with proven expertise in multi-cloud environments (Azure, AWS, GCP)., • Experience in designing and leading cloud solutions and architecture at scale, including migrations, integrations, and strategic cloud management., • Extensive experience with multi-cloud management and architecture strategies, including advanced cloud services (IaaS, PaaS, SaaS), hybrid cloud solutions, and cloud-native application development., • Expertise in designing and implementing cloud automation and orchestration tools (e.g., Terraform, AWS CloudFormation, Azure Resource Manager)., • Strong experience in cloud cost optimization and management, including forecasting, budgeting, and cost-saving initiatives across multiple cloud platforms., • Deep understanding of cloud security best practices and SOC 2 compliance standards and experience with implementing security frameworks across cloud tenants., • Expertise in disaster recovery planning and designing high-availability, fault-tolerant architectures in cloud environments., • Advanced knowledge of cloud networking, including secure connectivity solutions (AWS Direct Connect, Azure Express Route, GCP Interconnect)., • UNIX/Linux experience required, with advanced server administration and automation skills., • Leadership experience in mentoring teams and managing cross-functional collaboration across IT, engineering, and security teams., • Bachelor's Degree in Information Technology, Computer Science, or related field; or equivalent combination of education, skills and experience., • Cloud Professional Certification required (e.g., AWS Certified Solutions Architect - Professional, Google Cloud Professional Cloud Architect, Azure Solutions Architect Expert). Other IT certifications (e.g., CISSP, CompTIA Cloud+) are a plus. Cornerstone Research is offering a competitive market base salary for this position. The base salary range represents the low and high end of the salary range for this position in all eligible locations. This range may differ based on your geographic location and cost of living considerations. At Cornerstone Research, we believe compensation is more than just a base salary. We offer a competitive total compensation package that includes an annual performance bonus and comprehensive benefits such as flexible options for healthcare, paid time off, and retirement savings. Relocation assistance is not offered for this position. Chicago: $133,900 - $163,500 Boston: $140,300 - $171,300 Washington, DC: $137,500 - $167,900 Los Angeles: $140,700 - $171,900 New York: $143,300 - $174,900 San Francisco: $153,600 - $187,700 We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. Who We Are: Cornerstone Research provides economic and financial analysis and expert testimony in all phases of commercial litigation and regulatory proceedings. We work with a broad network of testifying experts, including leaders from academia and industry, who are recognized for their depth of knowledge, accomplishments, and research. Our staff consultants contribute expertise in economics, finance, accounting, and marketing, as well as business acumen, familiarity with the litigation process, and a commitment to produce outstanding results. We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. The firm's uniquely collegial, supportive atmosphere makes Cornerstone Research a great place to work. We invest in our people in a host of ways, from providing meaningful learning and development opportunities to organizing memorable social events. To many, our culture and our people are the most exciting, enriching aspects of a Cornerstone Research career. Equal Employment Opportunity: Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and About the team Join our team as a Platform Engineer focused on network architecture and site reliability. In this role, you will own the design and implementation of our cloud network architecture, ensuring our platform is resilient, secure, and scales effectively across multiple AWS accounts, environments, and regions. You'll architect solutions for complex networking challenges like hierarchical CIDR allocation across accounts and integrations, implement disaster recovery and regional redundancy strategies, and establish the reliability practices that keep our healthcare platform running. Working closely with leadership and cross-functional teams, you'll build the foundational infrastructure that supports our rapidly growing platform while ensuring we can handle failures gracefully and recover quickly. Position Responsibilities: In this role, you'll own critical infrastructure that ensures platform reliability and scalability. You will: • Design network architecture: Architect and implement hierarchical CIDR allocation strategies across multiple AWS accounts, environments, and external integrations, ensuring proper subnet organization and IP address management., • Build multi-region capabilities: Design and implement regional redundancy and multi-region failover strategies to support disaster recovery requirements and improve platform availability., • Manage cloud networking: Own VPC design, subnets, routing tables, security groups, NACLs, VPC peering, Transit Gateway, and other AWS networking components across our infrastructure., • Implement disaster recovery: Establish and regularly test disaster recovery procedures, backup strategies, and failover mechanisms to ensure business continuity., • Evaluate multi-cloud solutions: Assess and prototype solutions across AWS, Azure, GCP, and Oracle Cloud to determine optimal approaches for specific use cases and integrations., • Monitor platform health: Define and implement platform health indicators, SLIs, SLOs, and monitoring that provide early warning of infrastructure issues and track reliability improvements., • Ensure security and compliance: Work with security teams to implement network security best practices, maintain compliance requirements (HIPAA, SOC2, FedRAMP), and conduct security reviews., • Drive infrastructure reliability: Participate in on-call rotations, lead incident response for infrastructure issues, conduct postmortems, and implement improvements to prevent recurrence., • Automate infrastructure management: Build infrastructure-as-code using Terraform to manage network resources, implement self-service capabilities, and ensure consistency across environments. Requirements: • 5+ years of infrastructure engineering, DevOps, or site reliability engineering experience., • Experience leading projects or teams: Demonstrated ability to lead technical initiatives, drive architectural decisions, or mentor other engineers., • Extensive AWS expertise: Deep production experience with VPC, subnets, routing, security groups, Transit Gateway, Direct Connect, Route 53, and other AWS networking services., • Network architecture experience: Proven track record designing and implementing complex network architectures including CIDR planning, subnet design, and multi-account strategies., • Disaster recovery expertise: Experience designing and testing disaster recovery procedures, backup strategies, and multi-region failover capabilities., • Infrastructure as code: Strong experience with Terraform for managing cloud infrastructure at scale., • Site reliability practices: Understanding of SLIs, SLOs, error budgets, incident management, and reliability engineering principles., • Strong development skills: Proficiency in Python or similar languages for automation and tooling., • Security mindset: Understanding of network security principles, encryption, IAM, and compliance requirements in regulated industries. Preferred Qualifications: • Multi-cloud experience: Hands-on experience with Azure, GCP, or Oracle Cloud networking and cross-cloud connectivity., • Rust development experience or interest in learning Rust for infrastructure tooling., • Advanced AWS certifications: AWS Solutions Architect Professional, AWS Advanced Networking, or similar certifications., • Container networking: Experience with ECS, EKS, or Kubernetes networking, service mesh, and load balancing., • Database networking: Understanding of database replication, Aurora Global Databases, and cross-region data synchronization., • CDN and edge networking: Experience with CloudFront, edge locations, and content delivery optimization., • Cost optimization: Track record of reducing infrastructure costs while maintaining or improving reliability., • Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. New York, NY Salary Range$108,800—$136,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Role Overview: CLOUD SECURITY ENGINEER (HYBRID) ALL US OFFICES - CHI, SF, LA, BOS, NYC, D.C.) The Cloud Security Engineer is responsible for deploying, managing, and securing cloud solutions across AWS, Azure, and Google Cloud platforms. This role involves close collaboration with IT, Cloud Engineering & Operations, Network Operations and Data Science Center teams, acting as a technical lead and primary contact for cloud security projects, migrations, and integrations. The Cloud Security Engineer is expected to have hands-on experience managing cloud services in a hybrid environment, with a strong focus on implementing and maintaining robust security controls. In addition to technical responsibilities, the Cloud Security Engineer will engage with both internal colleagues at all levels within the firm and external stakeholders, ensuring seamless communication and coordination on cloud security matters. The Cloud Security Engineer will stay informed on emerging cloud security technologies and will translate information security policies into operational processes, continuously enhancing the security posture of the organization. At Cornerstone Research, you will be part of a thriving, 1,000-strong team that spans nine offices, comprises more than 55 nationalities, and leads the industry in its commitment to develop team members across all levels. Inc. Magazine has recognized Cornerstone Research three times as a Best Workplace for its outstanding employee engagement, collaborative culture, and professional growth opportunities. You'll Love It Here If You: * Embrace learning and continuous improvement * Set and strive for a high bar of excellence * Believe that teamwork leads to success: ask us what it means to be #onefirmfirm! * Take pride in always doing your best work, even if it's harder or takes longer * Are passionate about what you do How You'll Help Our Team Succeed: • Designs and engineers secure cloud solutions leveraging Google Cloud, AWS and Azure IaaS, PaaS, and SaaS, with a focus on security best practices., • Researches, designs, and implements new cloud security technologies to enhance Cornerstone's cloud security posture., • Supports applications hosted in cloud environments, ensuring they meet stringent security standards., • Deploys and develops cloud cost management, budgeting, and expensing capabilities, with an emphasis on security aspects to control unauthorized access and expenditures., • Manages and reports on cloud costs, identifying and reporting unusual expenditures with a focus on security implications., • Conducts periodic audits of accounts, permissions, and access rights for cloud services in compliance with security policies., • Builds and maintains strong relationships across IT teams, fostering collaboration on cloud security issues., • Performs periodic gap analyses against current and future security requirements to improve cloud security measures; recommends relevant improvements., • Administers and supports secure connectivity to cloud services, ensuring encrypted and protected data transfers, using AWS Direct Connect and Azure Express Route., • Monitors daily maintenance event logs for cloud-based environments and addresses any noted issues., • Maintains security patches in alignment with industry best practices., • Creates and maintains cloud-related security policies and procedures in partnership with the Director, Information Security., • Creates and maintains cloud security operational documentation and training materials for use by IT staff. What You'll Need to Be Successful: • 8+ years of experience in cyber security roles required, with professional services experience preferred., • Extensive experience supporting and administering AWS, Azure, Google Cloud and O365 cloud environments., • Experience with cloud security implementations, migrations, and integrations within secure frameworks., • Familiarity with programmatic means of cloud security administration, such as cloud APIs and CloudFormation Templates on AWS, with a focus on secure configuration., • UNIX/Linux experience with a strong exposure to server administration., • Bachelor's degree in a relevant field or equivalent combination of education, skills and experience., • Cloud Professional Certification required (e.g., AWS Certified Security - Specialty and/or Microsoft Certified: Azure Security Engineer Associate or similar)., • Additional security related IT certifications (e.g., CISSP, CISM, CompTIA Security+) are a plus. Cornerstone Research is offering a competitive market base salary for this position. The base salary range represents the low and high end of the salary range for this position in all eligible locations. This range may differ based on your geographic location and cost of living considerations. At Cornerstone Research, we believe compensation is more than just a base salary. We offer a competitive total compensation package that includes an annual performance bonus and comprehensive benefits such as flexible options for healthcare, paid time off, and retirement savings. Relocation assistance is not offered for this position. Boston: $138,900 - $166,300 Chicago: $132,600 - $158,600 Los Angeles: $139,300 - 166,800 New York: $141,800 - $169,700 San Francisco: $152,200 - $182,000 Washington, D.C.: $136,100 - $162,900 We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. Who We Are: Cornerstone Research provides economic and financial analysis and expert testimony in all phases of commercial litigation and regulatory proceedings. We work with a broad network of testifying experts, including leaders from academia and industry, who are recognized for their depth of knowledge, accomplishments, and research. Our staff consultants contribute expertise in economics, finance, accounting, and marketing, as well as business acumen, familiarity with the litigation process, and a commitment to produce outstanding results. We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. The firm's uniquely collegial, supportive atmosphere makes Cornerstone Research a great place to work. We invest in our people in a host of ways, from providing meaningful learning and development opportunities to organizing memorable social events. To many, our culture and our people are the most exciting, enriching aspects of a Cornerstone Research career. Equal Employment Opportunity: Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.

We're adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. We will consider a range of experience for this role and the offer will be commensurate with that. The Company As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive - from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products. Job Overview: We are seeking a highly skilled Senior Data Engineer - DBX Platform (ML & Feature Engineering Focus) with a strong software engineering background to join our AI/ML Engineering GSI IT Team. In this role, you will be focused on building a DBX-based data platform that powers machine learning and advanced analytics. This role is ideal for someone who thrives at the intersection of data engineering, ML infrastructure, and software development, and is passionate about enabling scalable, production-grade feature engineering pipelines. Key Responsibilities: • Build and optimize DBX ETL/ELT pipelines for feature extraction, transformation, and loading from structured and unstructured data sources., • Collaborate with ML engineers, data scientists, and software developers to deliver reliable, reusable, and versioned feature sets., • Implement CI/CD pipelines, testing frameworks, and observability for data workflows., • Develop feature stores, metadata tracking, and lineage tools to support data Ops., • Ensure data quality, governance, and compliance across all data assets., • Optimize performance and cost-efficiency of DBX clusters and jobs for data workloads., • Contribute to the architecture and design of the data platform and feature engineering framework. Qualifications: • Strong proficiency in Python and relevant scripting languages, with experience in software development and scripting for DBX., • Expertise with libraries and frameworks (e.g., Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch, DBX, MLFlow, dvc, dbt) and the ability to select the right tools for the use case., • Experience building inference endpoints (APIs) and managing compute architecture for efficient model inference and data handling., • Very good Azure and data & AI technology skills - specifically: DBX/ Python, Azure DBX Store, Azure AI Search., • Experience with DevOps practices, including Git, CI/CD using tools such as Azure Pipelines, or similar., • Several years of experience in machine learning, data science, or a related field, with a strong understanding of statistics and data analysis., • Experience with Azure especially with data and ML services, containerization (Docker. Preferred Qualifications: • Advanced Degree: Master's degree in Computer Science, Engineering, Mathematics, with 5+ years of ML implementation experience or Ph.D. with 2+ years of hands-on ML Project experience., • Experience with Big Data: Strong proficiency with big data technologies such as Azure DBX and Spark., • Leadership Experience: Previous experience leading a team of data scientists or engineers. Benefits: • Competitive employee benefits, including comprehensive health insurance, dental and sports coverage, and opportunities for certified training., • Flexibility in work arrangements, including home office options and flexible working hours., • A positive, team-oriented environment that fosters mutual trust, creativity, and initiative., • Opportunities for career growth within a global, innovative framework., • A diverse, multicultural workplace with a strong emphasis on team collaboration and professional development. At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company's Princeton location. The base salary range anticipated for this position is $104,200 - $152,800 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. ___ Save job

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$288,000—$360,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 8+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you'll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers., • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement., • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers., • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection., • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs., • Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies., • Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response., • Proven experience in a senior role, with 5+ years of full-time software engineering experience., • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)., • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)., • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups., • Proficiency in Python or JavaScript/TypeScript, and SQL. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Business Area: Sales Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As the world generates even more volumes of data, from any device or thing, companies are discovering the need to gain immediate insights from their data by studying recurringtrends and patterns over time,and staying competitive by implementing predictive actions for their business that willyieldpositive outcomes. Cloudera's CDP Platform enables customers to harness those volumes of increasingly valuable data by securely hosting data lakes and efficiently managing data analytics & computing workloads between public clouds and private cloud solutions in data centers. As aCloudera Solutions Engineer, you will help customers be successful in deploying the CDP platform. You will utilize your strong technical skills, business competencies and customer service orientation, provide the highest level of solution design, and deliver technical value to sales teams, prospects and customers, to support sales goals. Job Responsibilities: * Create and deliver customer-centric solution designs, proposed architectures and business outcomes to all levels - developers, architects, CTO, and CIO * Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training, and Engineering to share Cloudera's Vision with customers * Advise customers on use case patterns through discovery and requirements workshops * Transform customer feedback into actionable product roadmap items * Work with teammates and management to define technical selling strategy * Participate within the Cloudera community, share evangelism activities (blogs, meetups, industry events), and contribute to internal and external knowledge repositories Qualifications: * 5+ years of professional work experience in a similar position, selling solutions to business leaders and technical champions in the enterprise. * You have strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools like Cursor, CoPilot and Claude). * You have demonstrated problem solving and analytical skills. * You have experience in Solution Architecture/Engineering as a field of practice (an ability to listen to customer requirements, whiteboard and propose solution architectures, and be hands-on with the tech) to design, build, and demonstrate real business value * You have experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.) and can talk to the benefits of a centralized architecture for bothdata management and data access * You have experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.) You have an interest in achieving your public cloud certification. * You have experience with the Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift. You may have some experience with specific private cloud infrastructures (Server Hardware, Storage, Networking). * You have some experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns, and application integration * You have some knowledge of differentiators across the competitive landscape * You have some basic software development experience in Java, Scala or Python * You may have experience with Data Flow, Queues and Stream Processing (Nifi,Kafka, Flink, Spark) in enterprise applications * You have an interest in Data Science and understand the difference between Data Engineering and Applied Science * You care about your colleagues, and you will get the job done together. You are passionate about what you do and inspire people around you * Bachelor's Degree or equivalent experience in a Technical Field Bonus Skills: * You understand the challenges in operations and integration of enterprise platforms for Security and Data Governance in the enterprise * Experience with, and interest in, open-source software and development practices * NoSQL or Operational-DB experience (HBase, Phoenix, Accumlo, Druid, Cassandra, MongoDB, etc.) Maybeyou can even debate one option over another? * EDW experience - Teradata, Netezza, GreenPlum, Exadata Data Science and ML experience - (R, Python, Anaconda, Jupyter, Deep Learning Frameworks etc.) * Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, Tibco, MuleSoft, IBM, Oracle, Spring Integration, etc.) The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you apply! An adventure in data awaits. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

Senior Project Manager - North American Integrated Analytics Team As a Senior Project Manager, you will lead complex, cross-functional projects that deliver transformative solutions for life insurance clients. You will manage client implementations, ensure alignment with business objectives, and foster collaboration across diverse teams including Risk Specialists, Data Scientists, and Engineers. This role requires a blend of technical expertise, business acumen, and leadership skills. Job Responsibilities • Drive innovation by enabling new underwriting paradigms, distribution models, and data management, • Support the design and development of consumer-facing risk assessment products for North American clients, • Manage communications with various executives at carrier clients through critical project phases including procurement, delivery, and enhancements, • Participate throughout the software development lifecycle-from initiation through testing and implementation-working closely with internal and client development teams, • Manage all project phases leveraging project management tools, Agile methodologies, international standards (PMI and PMBOK), and best practices., • Deliver and own project outcomes aligned with established cost, timing, deliverables, and scope, • Specify and meet project delivery expectations through stakeholder management and meet/exceed the project sponsor's specified expectations to ensure buy-in and project success, • Proactively identify and track project risk and develop mitigation plans to manage risk (i.e., risk related to technology, change management, business process management, and requirements management), • Ensure production of necessary project documentation, • Continuously monitor project health and develop innovative approaches to resolve problems and significant issues; involve management where necessary, • Assist with tracking and reporting revenue and expenses, • Maintain communication with Compliance managers, document associated needs, and escalate issues, • Build and maintain professional relationships with various business units and global contacts, internally and externally Qualifications The successful candidate demonstrates a natural desire to provide exceptional client service through his/her energy, enthusiasm, and initiative. In addition, we are looking for the following qualifications: • 7+ years of project management experience leading and managing a variety of projects, • Bachelor's degree in Business, Economics, Computer Science/IT, or equivalent, • Experience in Life Insurance (Direct Carrier or Reinsurance) is highly desirable, • Commercial awareness of insurance, underwriting, and rule/decision engines, • Strong facilitation skills and the ability to communicate (verbal & written) at all levels with various internal and external stakeholders with professionalism, clarity, and precision, • Extensive IT experience, preferably in application development, with in-depth knowledge of the full Software Development Lifecycle, • Experience managing projects that require integration between parties and systems, • Prior experience in Agile project management methodologies like SCRUM as well as sound knowledge of project management techniques and methodologies like PMI, PMBOK, etc., • Proven ability to quickly earn the trust of clients and key internal stakeholders; taking accountability; mobilize, motivate, and lead teams; set direction and approach; resolve conflict; deliver tough messages with grace; and execute with limited information and ambiguity, • Ability to manage multiple projects simultaneously while maintaining quality and meeting expectations, • Ability to align closely with business goals and priorities, • Attention to detail and organizational skills, • Skilled at customer relationship management, • Superior written and oral communication skills, including presentations to clients and internal management, • Advanced proficiency in MS Excel, PowerPoint, Word, Project, • Experience with Azure DevOps, • Experience with software engineering best practices, • Agility to work across multiple internal teams and multiple assignments in a dynamic environment, • Ability to learn quickly, adapt to changing conditions, and take initiative, • A drive to make a meaningful impact and deliver results with ownership Our Benefits • Comprehensive Medical Plans, • PTO and Family Leave, • Retirement Savings Plans, • Dental and Vision Plans, • Life and Disability insurance, • Employee Assistance Program, • Adoption Assistance, • Wellness Programs - Calm, WW, SoFI, Virgin Pulse, • Commuter Benefits, • FSA and HSA Plans, • Hospital Indemnity, Critical Illness and Accident Plans At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. About Munich Re Together, we engage with everything we have and are, to help humankind act braver and better. As the world's leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients. For New York City based employees, the base salary range anticipated for this position is $153,583 to $177,833, plus an opportunity for an annual company bonus based upon a percentage of eligible pay. The salary estimate displayed represents the typical salary range for candidates hired in this position. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest. ___ Save job

AI Engineer Location: Hybrid, USA Employment Type: Full-Time Compensation: $100,000 - $130,000 (Range applies to US candidates only) + Benefits/Variable Comp - Range may vary based on experience. Benefits Offered: Vision, Medical, Life, Dental, 401K This role requires the candidate to work from one of the following OneStream office locations: Birmingham, MI, Fort Lauderdale, FL, New York, NY, or Chicago, IL. Summary The AI Engineer on the AI Product & Engineering team is responsible for crafting, building, and overseeing AI-powered solutions tailored for the OneStream platform. This position involves continuously converting business problems into polished, commercially viable applications leveraging AI and computer science techniques. This position requires a robust grasp of modern software design principles, including backend, frontend design and web frameworks. Collaboration with diverse engineering and services teams is essential to deliver comprehensive product support, ensure product cycle maintenance, and drive continuous product improvements. The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Our AI solutions incorporate AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing. Our mission is to lower the barrier for organizations and people to get value out of AI capabilities. Primary Duties and Responsibilities • Build and enhance user interfaces using both native OneStream capabilities and modern web frameworks., • Write and upkeep code that is efficient, reusable, dependable, and abides by modern software design principles., • Own the end-to-end UI/UX process: from wireframing and prototyping to implementation., • Guarantee peak performance, rendering, and responsiveness of AI Services solutions., • Identify and address bottlenecks and bugs, and devise solutions to mitigate or eliminate these issues., • Help to preserve code quality, organization, and automation., • Write and define software bugs, enhancements, and story tickets in a software issue-tracking system., • Collaborate with Product Specialists and Quality Assurance Testers to effectively., • Write documentation in the form of how-to guides to get other stakeholders familiar with the products you develop. Required Education and Experience • Bachelors Degree or similar work experience., • CS/DS/EE/CE Degree or similar experience., • Experience with C# / .NET or another object-oriented language (Java, C++) with openness to learning .NET., • Experience building user-facing applications/dashboards., • Ability to work across the stack (backend services + frontend UI) and integrate APIs., • Strong programming fundamentals. Preferred Education and Experience • Experience with modern web development frameworks (React preferred)., • Experience with design tools such as Figma (or similar) for creating wireframes, prototypes, and high-fidelity UI mockups., • Familiarity with Microsoft Azure and related technologies., • Experience integrating AI-enabled features into applications., • Experience with Consolidation Software, such as: OneStream, HFM, SAP BOFC, SAP, IBM Cognos, etc., • Recent focus on Microsoft technologies., • Python experience. Knowledge, Skills, and Abilities • Self-Starter to decompose a problem and plan a solution., • Knowledgeable about modern user interface design principles aimed at optimizing user experience., • Capable of effectively communicating technical issues, leading discussions, and influencing product-related decisions., • Ability to quickly learn new technologies and adapt to changes in technology and the business environment., • Highly adaptive to changing circumstances, with the ability to tackle problems quickly., • Excellent written and verbal interpersonal skills., • Excellent organization, scheduling, project management, and multi-tasking skills., • Capable and comfortable effectively presenting in front of your peers., • Ability to write clean, efficient, and well-documented code., • Interest in continuous learning opportunities as the space continues to evolve., • Proficient in effectively prioritizing and executing tasks in fast-paced, high-pressure environments., • Highly self-motivated and proactive., • Demonstrates meticulous attention to detail., • Comfortable engaging with C-level executives. Travel (remove if not applicable) • Minimal travel will be required. Who We Are OneStream is how today's Finance teams can go beyond just reporting on the past and Take Finance Further by steering the business to the future. It's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit ___. Why Join The OneStream Team • Transparency around corporate structure, salary, and benefits, • Core value of customer success, • Variety of project work (not industry-specific), • Strong culture and camaraderie, • Multiple training opportunities Benefits at OneStream OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: • Excellent Medical Plan, • Dental & Vision Insurance, • Life Insurance, • Short & Long Term Disability, • Vacation Time, • Paid Holidays, • Professional Development, • Retirement Plan All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. OneStream is an Equal Opportunity Employer. #LI-Hybrid #LI-JP1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. • Manage the full lifecycle of feature development from requirement definition to deployment on classified networks., • Direct the orchestration of asynchronous agent fleets to meet mission requirements., • Lead customer engagements to translate mission needs into technical requirements., • Own the communication with stakeholders to ensure implementation meets defined acceptance criteria., • Conduct technical reviews and identify risks within machine learning infrastructure and model serving., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$180,000—$225,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote (For Non-Local) or Hybrid (Local to Denver or NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as an AI Success Manager.We are looking for an experienced professional with AI and machine learning expertise to join us in applying cutting-edge open-source tools and/or those developed within the company to increase efficiency and reduce friction within the company as well as for our customers. AI Success Managers drive client value, adoption, and retention for AI products by guiding onboarding, optimizing use cases, and fostering strategic partnerships. They act as technical advisors and change agents, ensuring safe, ethical, and high-ROI deployment of AI solutions. Core duties include accelerating time-to-value, managing a cross-functional technical team, and monitoring performance KPIs. Core Responsibilities and Roles • Adoption and Value Realization:Accelerate customer time-to-value by ensuring rapid adoption and operational excellence for AI solutions., • Strategic Advisory:Act as a strategic partner to department leaders within the company and external clients as needed, mapping AI capabilities to business goals,identifyingnew use cases, and driving expansion., • Implementation Management:Lead the end-to-end onboarding process, including scoping, technical setup, and training, to ensure successful deployment., • Performance Monitoring:Track and analyze key AI usage metrics, such as model performance, adoption rates, and ROI, to inform optimization strategies., • Change Management:Guideclients through the organizational changesrequiredfor AI adoption, focusing on training and cultural alignment., • Technical Support and Advocacy:Act as a liaison between the clients/departments and the AI product/engineering teams to resolve technical issues and advocate for product enhancements., • Risk Management:Proactivelyidentifypotential bottlenecks, ethical concerns, or security risks in AI deployment., • Manage and lead team of small team Machine Learning Engineers, • AI Technical Proficiency:Deep understanding of Generative AI/ML models, Agentic AI, API usage, and data management., • Relationship Management:Ability to build trust with key stakeholders and executives., • Strategic Thinking:Capability to align complex AI technology with business strategy and outcomes., • Change Leadership:Expertisein guiding organizations through digital transformation., • Data Analysis:Proficiencyin interpreting usage data to make informed decisions. RequiredQualifications: • Bachelor's orMaster's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum6years(4 years withMastersdegree)of experience in industry with a strong focus on ML solutions development and production deployment., • At least 2 years of experience in Engineering Management with teams of 4 or more engineers, • Strongproficiencyin Python., • Familiarity with cloud platforms such as AWS or Azure., • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, GoogleGeminietc. Experience developing and fine-tuning prompts on any of the GenAI services, • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaborativelyacross multiple disciplinesin an extremely fast-paced, startup environment. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME's Person of the Year AI experience (), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real-world applications. • Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies, • Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents, • Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind, • Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences, • Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure, • Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility, • 5+ years of experience developing frontend or fullstack applications in a modern tech stack, • Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces, • Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments, • A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms, • Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP, • A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400-$310,500 USD . Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400—$310,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Posting Type Hybrid Job Overview At Relativity we make software to help users organize data, discover the truth, and act on it. Our e-discovery platform is used by more than 13,000 organizations around the world to manage large volumes of data and quickly identify key issues during litigation, internal investigations, and compliance projects. The Product Management team is looking for a Product Manager to drive security strategy and shape the future of our platform. In this pivotal role, you'll define the vision for our security capabilities, anticipate emerging threats and market opportunities, and collaborate across the organization to deliver a best-in-class security platform that customers trust and rely on. Job Description and Requirements Role Responsibilities * Good understanding of cloud native security. Speaks to our technical implementation in a way that internal stakeholders and clients can understand. * Owns product roadmap for Cloud Security, Identity Access Management and the Security Center features of RelativityOne * Works directly with Security Leads to help build a strategy and goals for all areas of security with a specific emphasis on the following domains:Azure Policies, Cyber Operations tools, Kubernetes role management, Identity & Access management platforms such as Okta and Microsoft Entra, Privileged Access Management tooling, Azure Cloud Security Posture Management, RelativityOne Security Center application, Microsoft 365 Security Suite * Define and execute the product roadmap for our platform's security capabilities * Translate complex technical capabilities into compelling value propositions for diverse audiences. * Align stakeholders around a unified security vision and priorities. * Familiarity with security frameworks like NIST, ISO 27001, or OWASP * Proactively identify security gaps before they become industry-wide problems, build products that customers advocate for, and establish Relativity as the most trusted, scalable, and innovative security platform in the eDiscovery industry. * Understand technical requirements for completion of new initiatives and ensure team is set up for success. * Operate as an indirect leader, facilitating communication across internal stakeholders and effectively communicate 'why' and gain buy in. Also responsible for driving conflict resolution amongst product development stakeholders. * Provide direct feedback to peers and be skilled at understanding multiple points of view. Preferred qualifications: * Generates excitement and curiosity when working with highly complex systems. * Is a team player with proven ability to deliver features from inception to delivery. * Excellent written and verbal communication skills. * Detail-oriented, enthusiastic self-starter with ability to work both independently and in a team environment. * Knowledge of Cloud Infrastructure * Expertise in Information Security * Strong project manager able to handle multiple projects simultaneously. * Strong facilitation and analysis skills. * Strong business acumen. Minimum qualifications: * 5+ years of experience in product management at a technology company. * Solid understanding of software development lifecycle and agile methodologies. * Knowledge and experience doing discovery & usability testing to gather customer feedback. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $115,000 and $173,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Agile Methodology, Cross-Functional Teamwork, Market Research, Market Strategy, Product Lifecycle, Product Lifecycle Management (PLM), Product Management, Product Strategies, Stakeholder Management, Team Leadership

Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. We are looking for a Staff Backend Engineer to join our Crypto Custody team. Our team is responsible for designing, developing, and scaling secure, high-performance blockchain and crypto wallet products for Ava Labs and our ecosystem partners. This role is an integral part of our technical leadership group—pioneering cutting-edge solutions, building modular and scalable crypto wallet infrastructures, and ensuring the highest standards of security. WHAT YOU WILL DO • Innovate & Architect:, • Design, develop, and maintain crypto wallet systems using Golang, ensuring robust support for protocols such as multi-party computation (MPC) and multi-signature (multi-sig) configurations, • Architect modular, scalable backend systems with an unwavering commitment to security and performance, • Collaborate Across Teams:, • Work closely with Partners to optimize configurations and setups for Ava Labs products, • Provide technical guidance across Business Development, Product, Security, Finance, and Engineering teams, • Drive Product Advancements:, • Assess opportunities and recommend solutions tailored to client needs, • Establish architectures and systems that ensure mass adoption of Ava Labs products while maintaining top-tier security, • Exhibit Extreme Ownership:, • Demonstrate an independent, driven mindset that thrives on taking initiative without being micromanaged, • Take full responsibility for delivering high-quality, secure backend solutions while continuously embracing challenges, learning, and pushing boundaries to drive product excellence WHAT YOU WILL BRING • Technical Expertise:, • 5+ years of hands-on engineering experience with a strong focus on backend systems, particularly in Golang—experience with JavaScript is a plus, • Proven track record in building crypto wallets or blockchain-related products, • Deep understanding of both UTXO and Account models, state management, and consensus mechanisms, • Extensive experience in secure coding practices with a very strong understanding of security principles as they apply to blockchain and crypto wallet systems, • Familiarity with competitive technologies and cloud service setups, • Leadership & Independence:, • A self-driven, independent mindset with extreme ownership over your work and outcomes, • Thrive in an environment where you are empowered to take initiative and work autonomously without being micromanaged, • Excellent problem-solving skills and a proactive approach to overcoming technical challenges, • Customer Focus:, • A user-centric approach to designing and launching high-quality products that fuel the growth of the crypto economy, • Proven ability to empathize with customer challenges and translate those insights into actionable development priorities NICE TO HAVE • 3+ years of solutions architecture experience, • Experience with multi-party computation (MPC) protocols, • Hands-on experience with advanced security testing tools and methodologies, • Expertise in infrastructure engineering, including Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, GCP, or Azure, • Prior senior-level engineering experience in a blockchain or crypto organization Salary Range: $184,450.00-$219,034.00 (**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location. NYC metro candidates are required to be in office 2-3x/week (with exceptions)). #LI-Remote #LI-DS1 WHY AVA LABS? If you've ever thought about joining an early stage Web3 company - this is it! We're a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We're highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant. Join us and be a pioneer in a new technology that will have implications across a range of verticals such as finance, gaming, investing, collectibles, among many others. Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

Steer offers a suite of software tools for today's automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly, cost-effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention. Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry. In August 2024 Steer acquired AutoOps - the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. AutoOps allows customers to smoothly schedule through a shop's website and Google Business Profile. About the Role Steer is seeking a skilled and dynamic Lead Engineer for Integrations to drive the engineering work behind the critical data integrations that power Steer and AutoOps. This is a hands-on role where you are expected to be the primary developer and deliver high-quality, production-ready code.You will own the full lifecycle of complex integrations, ensuring the seamless and reliable flow of customer, appointment, invoice, vehicle, and other core data between our platform and partner systems. Your work will directly maintain product stability, ensure high uptime, and enable new product growth. Location: 100% Remote (U.S.-based) | Hours: EST What You’ll Do • Own the full integrations lifecycle from design through rollout, building a scalable, durable, and extensible integrations platform., • Lead technical conversations with 3rd party vendors, guiding the technical direction and advocating for Steer’s needs., • Design and run regular sync processes between Steer/AutoOps and partner systems using resilient patterns., • Build clear patterns for new integrations and document flows, edge cases, data shapes, and change-management steps to enable other engineers., • Maintain and improve existing integrations, focusing on reliability, throughput, and operational stability., • Work closely with Product, Support, and Customer Success during incidents and partner updates, maintaining a bias for fast incident response. What You’ll Bring • 8+ years of engineering experience with a firm grasp of C#, ASP.NET Core, APIs, Entity Framework, or related technologies., • Experience with REST API's., • Experience working on Commercial / ISV software products., • Ability to lead technical discussions, set direction, and coach other engineers., • Experience leading discussions with partners and 3rd party vendors., • Experience building and maintaining Windows Services, especially for on-premise systems., • Experience with message queues, background workers, scheduled jobs, and batch pipelines., • Deep experience building integrations using APIs, webhooks, queuing, and polling strategies., • Clear understanding of resilient distributed systems and failure patterns., • Experience working with authentication models used by older systems (API keys, token rotation, basic auth)., • Experience with cloud platforms such as Azure, AWS, or GCP. What Success Looks Like • Current integrations remain stable, fast, and monitored., • New integrations launch faster using shared patterns and reusable components., • Breakages decrease, and incident resolution improves., • Integrations stop being a bottleneck for product development. Our Hiring Process • Initial Screening - 30min (Lead Recruiter), • Hiring Manager Interview - 60min (Head of Product + Engineering), • Collaborator Interview - 60min (Principal Engineer), • Career Journey Interview - 60min (Director of People), • Reference Checks What We Offer * 100% remote work (U.S.-based) * 100% employer-paid medical insurance * Flexible PTO (minimum 15 days) * FSA and HSA options • Equity options Generous parental leave * 401(k) * Learning stipend * WFH equipment provided * Access to the latest technology * Collaborative, innovative culture * Opportunities for career growth Why Join Steer? At Steer, we align our mission of transforming the auto repair experience for shop owners and their customers with your passion for growth, innovation, and excellence. Here, you’ll find opportunities to expand your skills, take on career-shaping challenges, and contribute to the future of the auto repair industry, all while enjoying comprehensive benefits and flexible work arrangements to support your well-being. Join Steer to be part of a forward-thinking, flexible, and collaborative culture where you are empowered to do meaningful and impactful work. We value diversity and believe that forming teams in which everyone can be their authentic self is key to our success. We welcome applications from those with diverse backgrounds and industries. Our hiring process looks beyond just credentials. The school you went to at 18 doesn't define your potential to thrive and enrich our culture. Even if you don't meet every requirement, we invite you to apply.

Mentor other Solutions Architects and contribute to technical best practices across the team. Modal is hiring a high-impact Solutions Architect to drive technical strategy across our most strategic enterprise accounts. Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal’s se

___ is an AI startup with open source and creativity at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike. Our team members work remotely across the globe with the flexibility to work from anywhere and at any time. Our people experience this as a massive benefit! Operating with a strong sense of ownership and collaboration, our teams prioritize results while empowering each individual to do their best work. About this role * Full Sales Lifecycle: Manage the end-to-end sales process - from initial outreach and lead qualification to complex contract negotiations and closing. * Territory Strategy: Develop and execute a strategic plan to penetrate key industries (Finance, E-commerce, Healthcare, etc.) within the EMEA region. * Solution Selling: Conduct deep discovery to understand prospect pain points and demonstrate how Weaviate’s vector search and AI features provide a competitive edge. * Community Engagement: Work closely with our Developer Relations and Marketing teams to leverage our massive open-source community as a source of enterprise opportunities. * Pipeline Management: Maintain accurate forecasts and CRM records (Salesforce/HubSpot) to ensure predictable revenue growth. What we are looking for * Experience: 4+ years of B2B SaaS sales experience, preferably in infrastructure, databases, or AI/ML. * US (West) Expertise: Proven track record of hitting and exceeding quotas within the US West Coast market, including familiarity with regional procurement and legal nuances. * Technical Fluency: You do not need to be a developer, but you should be able to comfortably discuss APIs, LLMs, vector embeddings, and cloud architecture (AWS/GCP/Azure). * Communication: Exceptional verbal and written communication skills in English. * Mindset: A 'builder' mentality. You thrive in the ambiguity of a fast-growing startup and enjoy creating your own playbooks. * Training in sales methodologies (e.g., MEDDIC, SPIN, Challenger) is highly desirable. * Quick learner with high emotional intelligence (EQ) and the ability to influence key stakeholders. * Passionate about advancing your career in enterprise sales and deepening your knowledge of our products. * Aligned with our company values and culture. * 100% Remote Work: Work from anywhere in the world where you can do your best work. Whether it’s your cozy home office, a co-working space, or a beachside café. Read more ___. * Flexible Time Off: We trust you to manage your time (off). Take the time you need to recharge, travel, or just enjoy life outside of work. Read more ___. * Competitive Pay & Equity: We offer compensation that reflects the value you bring to the team, along with the opportunity to share in our success through equity. * Local Benefits: * US: Healthcare, dental, vision insurance, 401(k) employer matching. * Netherlands: Holiday allowance, pension plan. * Other countries: Benefits provided via our Employer of Record (EOR) partner, tailored to local standards and regulations. * Tech stack: We provide you with a shiny new MacBook, and you’ll receive a stipend to upgrade your home office. * Grow, Learn, and Collaborate: We provide a dedicated budget to help you sharpen your skills and grow your career. Work with a curious, collaborative, smart, and innovative (fun) team that encourages growth and impact. Have a look at ___ to learn what you can expect from our interview process. Be aware that conducting a background check is part of our onboarding. If you’re interested in Weaviate and this role, please apply through this vacancy. We’ll be in touch in response to your application. This way, we can ensure you have the best experience while allowing our team to focus on doing their best work.

Platform Engineer Vectara is the Enterprise Agent Platform that enables businesses to build and deploy governed, grounded, auditable AI agents across SaaS, VPC, and on-prem. We have developed our own models, observability and orchestration layers, guardrails, and context management systems in order to provide our customers with the greatest levels of AI agent accuracy, security, and explainability. Our founding members include industry veterans and experts in neural information retrieval and distributed systems from Google. We’re a passionate team that’s hyper-focused on solving enterprise-level technology and business problems with AI. Join us! The Role You'll own the infrastructure that runs our deploy anywhere platform — from Kubernetes clusters serving ML inference at scale to the CI/CD pipelines, IaC, and observability stack that keep it all reliable. This is a hands-on role: you'll write Helm charts and Terraform one day, debug a Kafka consumer lag issue the next, and ship a backend service feature the day after. You'll deploy across AWS, GCP, and on-premises (including air-gapped environments), and you'll participate in an on-call rotation supporting enterprise customers. What You’ll Do • Build and maintain infrastructure-as-code (Terraform, Helm) for our AWS EKS and GCP GKE clusters, plus on-premises deployments (including Tanzu and air-gapped environments)., • Own CI/CD pipelines (GitHub Actions, Bazel, ArgoCD) and drive GitOps adoption., • Deploy, scale, and optimize ML/NLP inference workloads (vLLM, PyTorch, GPU scheduling with various Kubernetes scalers)., • Build and improve observability: Prometheus, Grafana, Datadog,, and OpenTelemetry., • Collaborate with Field Engineering to support PoCs and platform deployments in customer cloud VPCs and on-prem environments., • Contribute to backend services (Java 21, Python, gRPC) and platform features., • Improve system reliability, scalability, and developer experience across the engineering org. What You’ll Bring (Required): • 2+ years in platform engineering, DevOps, SRE, or backend infrastructure roles., • Hands-on with infrastructure-as-code: Terraform, Helm, or Pulumi., • Experience with at least one major cloud provider (AWS preferred; GCP or Azure also valued)., • Proficiency in one or more of: Go, Python, Java. Comfortable reading and contributing to backend codebases., • Working knowledge of CI/CD systems (GitHub Actions, Bazel, ArgoCD, or similar)., • Solid fundamentals in Linux, networking, and distributed systems. What Sets You Apart (Preferred) • Experience deploying or operating ML inference workloads (model serving, GPU scheduling, vLLM, TensorFlow Serving, or similar)., • Familiarity with streaming/messaging systems (Kafka, Pulsar) and data stores (MariaDB/PostgreSQL, Aerospike, ClickHouse, OpenSearch)., • Experience with GitOps workflows (ArgoCD, Flux)., • Exposure to air-gapped or on-premises Kubernetes deployments., • Background in observability tooling (Prometheus, Grafana, OpenTelemetry, Datadog)., • Experience providing technical support or working directly with enterprise customers on infrastructure issues., • Comfort with AI-assisted development workflows and managing AI coding agents. Location requirements: We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred. Perks and Benefits: 100% paid Medical, Dental, Vision for employees. Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more. Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.

Position Overview: As the Data Product Manager you will be responsible for designing and managing the implementation of data platforms and data-driven products. The DPM will use data analysis and cross-functional collaboration to inform product strategy and deliver business impact through data-powered insights and features. Key duties include identifying data needs, defining key performance indicators (KPIs), building data pipelines, and working closely with data analysts and engineers to deliver valuable data platforms and products. At RxVantage we transform how medical practices engage with life sciences resources and expertise to improve patient care. Our platform intelligently connects healthcare providers with the precise life sciences experts that they need, when they need them. As a result, medical practices stay on the cutting edge of patient care without disrupting workflows. Trusted by more than tens of thousands of healthcare practitioners and all major life sciences companies, RxVantage has powered millions of educational exchanges between healthcare teams and life sciences companies. What you’ll be doing: • Partner with key stakeholders to understand internal and external (client) data needs and logic, • Find opportunities to use data to improve existing RxVantage products and create new product offerings, • Define the data strategy for new and existing data platforms and products, • Integrate 3rd party data, client data, and RxVantage data into a cohesive whole, • Develop data-driven product roadmaps and prioritizes features based on data insights, • May include performing scrum master and project management functions, • Establish clear KPIs and metrics to measure product success and data quality, • Work closely with data engineers and data analysts, • to translate data insights into product features and functionalities, • to design and implement data pipelines for data collection and processing, • Conduct data analysis to uncover patterns, trends, and actionable insights, • Partner with data analysts to identify complex data problems and develop advanced analytical models, • Utilize data visualization techniques to effectively communicate findings to stakeholders, • Bridge the gap between technical and non-technical teams, ensuring data is accessible and understood by all stakeholders, • Present the results to the stakeholders up to executive level and guides them to make the best use of analytics in their domain, • Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners, • Reconcile divergent demands from multiple stakeholders in a fast-paced work environment, • Mentor junior team members on analytics, storytelling and communication best practices, • Influence and support the standards of excellence and best practices of analytics. The ideal candidate: • Experience and Education:, • A minimum of 5 years experience in data analytics and product management, • Bachelor’s degree preferred, • Technical Skills:, • Strong understanding of data warehousing, data pipelines, and data modeling concepts, • Proficiency in data analysis tools (SQL, Python, R) and data visualization techniques, • Familiarity with cloud computing platforms (AWS, Azure, GCP), • Experience with MDM solutions, • Business Acumen:, • Ability to translate data insights into actionable business strategies and decisions, • Understanding of key business metrics and financial analysis, • Communication Skills:, • Excellent written and verbal communication skills to effectively present complex data findings to diverse audiences, • Ability to collaborate effectively with cross-functional teams, • Product Management Skills:, • Experience in product development lifecycle, including requirement gathering, prioritization, and roadmap planning, • Strong customer focus and ability to understand user needs Benefits: • Competitive Salary, • 100% Company-Paid Premiums for Employee’s Medical Health (HDHP 4500), Vision, and Dental Plans + $4,400 company sponsored contribution into an HSA, • Short-term and Long-term Disability, • Life Insurance, • 401k Matching, • Work from Anywhere within the US, • Flexible PTO, • 100% Paid Parental Leave, • Post-Parental Leave Program - $5k stipend to assist with expenses, 4 week 100% paid “Ease-Back” return to work transition period, • Charitable donation matching Location: Our “Work from Anywhere” philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country’s top talent and allow them to create an environment within the U.S. where they can do their best work. About Our Organization: At RxVantage, we're a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We’ve built a software platform that’s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care. We have a proven product, a strong mission, and a passionate team. Now, we're looking for talented people to help us grow even more. If you're driven, eager to make an impact, and ready to be part of something meaningful, we want to hear from you! RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.