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Today, we do this for leading B2B SaaS companies like AlphaSense, Braze, Canva, Databricks, and Gong. We have the rare opportunity to disrupt not just multiple old-school software vendors, but entire categories of software, services, and labor. Our core values are Dazzle Customers, Deliver Results, and Demand Excellence. We recruit people with a demonstrated track record of excellence and give them the room to do the best work of their lives. If this sounds like the environment where you do your best work, we invite you to build with us. We are proud to be an NYC company, working hard in-person at our office near Penn Station. Our founders helped build Braze and Datadog, two of the city's biggest IPOs, and we're backed by the venture investors behind Square, Instacart, Airtable, and Webflow. 2. Why now We've spent two years earning product-market fit the hard way: 30+ enterprise customers who pay us real money and keep doubling down. We have 4+ years of runway and it’s now time to accelerate. Until now, our founders and engineers have owned design, with support from an experienced contractor. That got us here, but it won't get us where we need to go. We need a designer who can look at what we've built, see both what's right and what's possible, and make the whole thing feel inevitable as we scale from $1M to $100M in ARR. 3. What you’ll do You'll own design across the entire Peerbound product, from our core web app to our Slack and email experiences to embeddable widgets that live on our customers' public-facing sites, which see millions of visitors every day. You'll report directly to our CEO and work closely with our engineers and our customers. Define what Peerbound looks and feels like. Build the design system, component library, and visual language from scratch. Establish the patterns and standards that every future designer and engineer will build on. This isn't about making things pretty — it's about creating a system that scales. Design AI-native experiences. Much of what Peerbound does is powered by AI, and the hardest design problems we face are about making intelligent systems feel trustworthy, intuitive, and useful. How do you surface an AI-generated customer quote so a sales rep trusts it enough to use it in a live deal? How do you design an interface where the content is dynamic, personalized, and constantly changing? These are the kinds of problems you'll solve every day. Ship product, not mockups. You'll work embedded with engineering, designing and iterating in tight cycles. We value designers who prototype, who are comfortable in code or adjacent to it, and who care as much about how something ships as how it looks in Figma. You'll go from user insight to shipped features regularly. Be the voice of the user. Talk to customers directly. Watch how they use the product. Understand where they get stuck, what delights them, and what they don't even know they need yet. Bring those insights back and let them shape the roadmap. 4. Questions you'll help us answer • How do we design a product that serves multiple audiences: (i) marketers who use our web app, (ii) B2B sellers who use Peerbound in email and Slack, and (iii) B2B buyers / website visitors seeing embedded widgets?, • What does a world-class design system look like for a product where the content is dynamic, AI-curated, and always changing?, • How do we onboard customers quickly while revealing deeper capabilities over time?, • How do we make Peerbound feel like the most polished product in our customers' tech stack? 5. Who you are 8+ years in product design, including significant time at a startup or high-growth company where you owned design end-to-end. You've built design systems from scratch and you've shipped products that real users depend on daily. You're fluent in Figma and comfortable enough with code and AI tools that you can build interactive prototypes, not just static screens. You have a strong eye for what AI-native product design looks like. You've thought seriously about how to design for AI-generated content, dynamic interfaces, and trust, or you've been building in this space already. Beyond the tools: you have exceptional taste and the conviction to defend it, and on the flip side, you are pragmatic enough to judge when to ship something great and iterate rather than wait for perfection. You care about the details that most people don't notice, and you believe that design at its best delivers an unforgettable experience to the user. 6. Compensation Salary of $210,000 to $240,000/year plus meaningful equity and benefits (fully covered medical/vision/dental, 401K, flexible PTO). In-person in NYC, 4 days in-office. 7. Note from the CEO This company represents my life's work. I've been part of two IPOs, and I want to build the kind of company at Peerbound where working here marks an inflection point in everyone's career, and leads to the kind of bonds that last a lifetime. This is our first full-time design hire. I am the type of person that really, really values great design but cannot produce it myself. Design, to me, goes much deeper than how a product looks. It’s how a product feels to the user, which is the product of several excellent decisions made by the designer. AI opens up both new opportunities and new challenges for designers, and you will be neck-deep in these challenges, which are still largely unresolved in my view. The best B2B software in the world still feels clunky, forgettable, and like it was designed by committee. I want Peerbound to be the exception. I want our customers to open our product and feel like someone actually cared. If you want to define the design language for an entire company, if you get energy from building systems from nothing, if you want to not just build designs but have a heavy hand on our roadmap, and if you believe B2B software deserves the same craft and intention as the best consumer products, I’d love to meet you.

Principal, Business Consulting – Payments Functional Program Manager Practice: Financial Services, Infosys Consulting Focus: High Value Payments (HVP) Modernization | ISO 20022 | COTS on Microservices | Agentic AI Role Summary Infosys Consulting’s Financial Services practice is seeking a seasoned Functional Program Manager to lead a Payments Modernization program for a Tier 1 financial institution. You will drive the replacement of legacy mainframe systems with a COTS product, and forward engineer rail agnostic capabilities on a cloud/microservices platform, incorporating agentic AI to enable intelligent, future ready payment flows. This is a high impact, client facing role(s) requiring deep payments expertise, strong program leadership, and a track record of delivering complex transformations in regulated environments. What You’ll Do • Own the client relationship across transformation delivery, BAU change, and support for a large U.S. bank; manage senior stakeholder expectations while maintaining profitability and growth., • Lead platform modernization that includes but not limited to reverse engineering of legacy mainframe platforms, forward engineering, COTS product implementation, and upstream/downstream integrations., • Direct ISO 20022 adoption and certification (e.g., Fedwire/FedNow, CBPR+); guide product configuration and customization—especially for ACI MTS and UPF., • Govern program financials: budgeting, milestone billing, forecasting, pipeline management, and margin integrity., • Set payments architecture direction: advocate rail agnostic orchestration, microservices patterns, cloud deployment models, and event driven integration., • Shape and integrate agentic AI interventions across journeys (ops automation, dispute/exception handling, reconciliation, data quality, monetization)., • Lead cross functional teams (client & Infosys) to gather requirements, design data maps, ensure traceability, and manage risk/issue remediation., • Support business development: solutioning, proposals, thought leadership, market relevant POVs., • Ensure compliance with PCI DSS/AML/KYC, resiliency, observability, and operational excellence., • Not a pure BA role—we’re seeking leaders who can span program delivery, architecture direction, and domain depth. Role Tracks (You may align to one primary track and flex across others) • Program Management (Payments Modernization), • Drive multi year HVP modernization with COTS, integrations, ISO migrations, certification, and executive governance., • Enterprise / Solution Architecture (Payments), • Define target state (rail agnostic, ISO native), microservices reference architecture, messaging, integration patterns, security, and scalability., • Payments SME / Advisory, • Bachelor’s degree (or foreign equivalent)., • 7+ years in payments/financial services with 3+ years in management consulting at a top tier/professional services firm. (10+ years overall experience preferred for a principal.), • Deep HVP domain expertise: Fedwire/CHIPS, CBPR+, cross border, and ISO 20022 message standards (pacs/camt/pain; mapping, validation, enrichment)., • Delivered at least one end to end ISO 20022 migration for CBPR+ and/or Fedwire/FedNow: experience with certification and market testing. (Cards professionals are welcome with consumer and commercial card solutions E2E implementation experiences), • Hands on experience across payments value chain at enterprise and ecosystem level: origination, processing, clearing/settlement, servicing, messaging—B2B, disbursements, consumer/retail., • Experience with COTS Payment Hubs and processors (e.g., ACI MTS/UPF, Finastra, Fiserv) and complex integration in regulated environments., • Solid understanding of legacy mainframe payment systems and modernization patterns., • Proficiency in program governance & financials, stakeholder management, issue/risk management, and executive communication., • Familiarity with cloud & microservices constructs (e.g., containerization, APIs, event streaming) and DevSecOps/testing management., • Ability to travel extensively., • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. Preferred Qualifications • Certifications: PMP/PRINCE2/SAFe; TOGAF 9.2/10 (for architecture track); ISO 20022 certifications; BIS/Fed or equivalent; Agile delivery., • RTP expertise: TCH RTP and FedNow implementation; vendor experience (Finastra, Fiserv) is a plus., • Liquidity/Treasury: Nostro/Vostro, cash & liquidity management, payables/receivables, collections., • Cross rail expertise: HVP, mass payments (ACH), immediate payments (RTP/FedNow), P2P, card (retail & commercial), tokenization, stablecoins (awareness)., • Data & Engineering: lineage, quality, metadata, monetization; Kafka/event streaming; API management; observability; resiliency engineering., • AI in Payments: Machine Learning & Predictive Modeling (fraud, risk, anomaly detection, forecasting); GenAI/LLMs for ops automation, dispute handling, policy interpretation, developer/API copilots, and RAG; Reverse/forward engineering accelerators; MLOps and responsible AI (XAI, bias/fairness)., • Firm building: pre sales, POVs, conference visibility, industry research. Core Skills & Ways of Working • Thought leadership and structured problem solving; crisp storytelling for C Suite., • Numbers driven program leadership: budget, schedule, scope, and benefits realization., • Stakeholder management across technology, operations, risk/compliance, product, and external networks., • Hands on orientation with the ability to go deep on requirements, mappings, and validation without losing the big picture. Responsibilities Snapshot (Illustrative) • Stand up and run a multi wave ISO 20022 program (CBPR+, Fedwire, FedNow)., • Lead COTS hub implementation (e.g., ACI MTS/UPF): product fit, customization, integration, certification., • Define target state architecture (rail agnostic orchestration, microservices, APIs, streaming)., • Implement AI/LLM use cases in payments ops, exception management, reconciliation, and data monetization., • Deliver RTP via leading products (Finastra, Fiserv) as an advantage., • Manage DevSecOps and testing services; ensure performance, resilience, and compliance., • Build data maps and transformations for message conversion and canonical models., • Drive pipeline expansion and support pursuits with solutioning and differentiated PoVs. The estimated total annual compensation (Base + Bonus) range for candidates based out on NJ, IL, NY, CA & WA will be $ 154,375 to $ 193,125

W2 ONLY No C/C No Corp-to-Corp employers 100% remote Lead AI Engineer Location: Remote Duration: Contract Work Authorization: USC or GC only Interview Process: Background check required Important: Candidates must be able to travel to one of the client’s offices on Day 1 for onboarding verification: Denver, CO; New York, NY; Atlanta, GA; Plymouth Meeting, PA; Overland Park, KS; or St. Petersburg, FL. We are seeking an experienced Lead AI Engineer to help turn AI initiatives into secure, production-ready, enterprise-scale solutions. This role will focus heavily on Agentic AI systems and will partner closely with AI, engineering, and product teams. The ideal candidate brings a strong blend of hands-on engineering expertise, architecture knowledge, and leadership ability. This person will help bridge business needs, technical standards, and implementation to ensure AI solutions are scalable, reproducible, secure, and aligned with long-term enterprise strategy. Key Responsibilities • Design, build, and deploy full-stack applications using Python and React, • Architect secure, scalable systems with strong focus on security, compliance, and best practices, • Lead internal AI initiatives, including support of existing AI-enabled products and delivery of new AI-driven solutions, • Provide guidance to teams on how to leverage AI effectively across the organization, • Build and integrate agentic AI systems using modern LLM and GenAI technologies, • Collaborate with cross-functional teams to scope, prototype, and deliver AI solutions quickly, • Serve as a technical partner to business teams to identify AI opportunities that improve efficiency, reduce risk, and enhance customer experience, • Integrate GenAI models into full-stack applications and internal workflows, • Contribute to prompt engineering, fine-tuning, and evaluation of model outputs, • Build reusable services for multi-agent orchestration and task automation, • Optimize AI inference pipelines for scalability, latency, and cost efficiency, • 7+ years of full-stack development experience with technologies such as Python, JavaScript, Node.js, and React, • Strong experience with LLM frameworks such as LangChain and Bedrock, • Experience with AI-enabled workflows and data processing in Python, • Strong knowledge of LLMs, prompt engineering, RAG architecture, and Agentic AI, • Deep understanding of embeddings, vector databases, and retrieval pipelines, • Experience with Git, CI/CD, DevOps, and production-grade GenAI deployment practices, • Hands-on experience with Docker, Kubernetes, and cloud-native deployment, • Knowledge of AI observability, model monitoring, and cost optimization, • Strong communication skills with ability to work across technical and non-technical teams, • Experience in financial services or other highly regulated environments, • Familiarity with core banking systems or similarly complex enterprise platforms

Job Title: Scrum Master Location: Newark, NJ (Hybrid) Duration: 6+ Months As a Scrum Master in Chief Technology Office, you will join a team of change agents who are responsible for coaching, teaching and guiding individuals, bringing to bear agile principles, practices and frameworks to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! You will partner with product owners, tech leads, designers, engineers and delivery professionals to improve End User Experience. You will bring excellent problem solving, communication and teamwork skills, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is what you can expect on a typical day • Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact, • Bring an understanding of relevant and emerging technologies, begin to identify opportunities to provide feedback to the team, and embed learning and innovation in the day-to-day, • Work on problems of diverse scope in which analysis of data requires evaluation of identifiable factors, • Ensures the team(s) lives Agile values and principles and follow the processes and practices that they agreed-upon to deliver the committed solutions, • Responsible for promoting and supporting Agile principles by helping everyone understand applied theories, practices, rules, and value, • True servant leader who serves the team(s) and larger organization, • Supports those outside the aligned team(s) to understand which of their interactions with the team(s) are effective and which aren't; helps everyone change these interactions to improve the value built by the Agile team, • Supports all aspects of risk management and impediment resolution, • Formal people leadership for a highly talented team of X Scrum Masters, • Proven experience as a Scrum Master or Release Train Engineer, or comparable Agile delivery leadership role, • Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization, • Experience with agile development methodologies, • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Familiarity and expertise with Agile principles and frameworks, including story writing and estimation, facilitation, and identification and implementation of continuous improvement (CI), • Experience working and proficiency in performing the role of Scrum Master, including on teams charged with highly complex outcomes, • Expertise in facilitation and tracking of Objectives & Key Results (OKRs), prioritization, backlog refinement, and specialty workshops., • Certified Scrum Master certification, • Experience in serving as a Scrum Master within the financial services industry on multiple teams, • Experience with Project Management, • Understanding of Device Lifecycle Management a plus

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. • Own major full-stack product areas, driving features from design through production deployment., • Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness., • Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components., • Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences., • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers., • Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP., • Adapt quickly-learning new technologies, frameworks, and tools as needed across the stack., • 5+ years of full-time engineering experience, post-graduation., • Strong experience developing full-stack applications using React, TypeScript, and Python., • Experience scaling or shipping products at high-growth startups., • Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)., • Proficiency with SQL and modern API development., • Experience with Kubernetes, containerization, and microservice architectures. 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 ___. 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 seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructureto join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. 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., • You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream., • 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 ___. 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 Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: * Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. * Develop and maintain backend services using Python, focusing on AI-driven applications. * Design and implement APIs for seamless integration with AI models and services. * Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. * Participate in code reviews, testing, and quality assurance processes. * Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. * Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. * Document and communicate development processes, system designs, and architectural decisions. * Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment. * Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. * Strong proficiency in Python and familiarity with ML libraries such as PyTorch. * Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies * Familiarity with cloud platforms such as AWS or Azure. * Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. * Passion for customer, innovation, product quality, service excellence, and test engineering * The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. * Experience working with microservices/an API-based application paradigm. * Good written communication skills that enable collaboration in a remote environment. 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. Salary Range$180,000—$220,000 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___.

Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. We're seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers. You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it. • Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments., • Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems., • Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation., • Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization., • Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation., • Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership., • Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities., • 15+ years of experience as a technical software engineering leader., • Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments., • Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred., • Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact., • Experience influencing and mentoring engineering teams in complex, matrixed environments., • Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality. The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers. You'll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what's possible with AI. 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:$285,200—$356,500 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 ___. 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 ___. 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 Position Summary: OurScalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity.In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyondmaintaininginfrastructure,you'llarchitect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure-from application logs and metrics to distributed traces.You'llbuild production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, andoptimizetheir systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. Position Responsibilities: In this role,you'llown the observability infrastructure that powers our engineering organization. You will: • Architect observability platform: Design, implement, andmaintainthe LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience., • Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities., • Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost., • Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis., • Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics., • Balance cloud-native and open-source: Architect solutions that thoughtfullyleverageboth AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack,Quickwit) tooptimizefor cost, performance, and operational flexibility based on use case requirements., • Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure., • Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly., • Partner with engineering teams: Work directly with product teams to integrate observability into their services,establishlogging and metrics standards, and instrument code effectively, serving as the observability subject matter expert., • Enable performance optimization: Provide the observability foundation that allows the Scalability team toidentifyperformance bottlenecks, track optimization impact, and measure platform stability with data-driven insights., • Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices., • Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices., • Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning., • Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients., • 10+ years of software engineering or infrastructure engineering experience withdemonstratedprogression into technical leadership roles., • Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure., • Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services., • LGTM stackexpertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale., • AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns., • SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena,DuckDB, or similar query engines for analyzing structured and semi-structured data at scale., • Cloud-native and open-source balance:Demonstratedability to architect solutionsleveragingboth managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in., • Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines., • Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics)., • Systems thinking: Deep understanding of distributed systems,microservicesarchitectures, and the complex observability challenges they present., • Data at scale: Proventrack recordhandling high-volume structured and unstructured logging data,identifyingpatterns, and building efficient search/query solutions that perform well under load., • Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go., • Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources., • Additionalobservability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms., • Advanced query languages: DeepexpertisewithPromQL,LogQL, SQL optimization, and query optimization for high-cardinality data., • Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3., • Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements., • Cost optimization: Track record of reducing observability costs whilemaintainingor improving capabilities (e.g., CloudWatch S3/custom indexing migration)., • Data pipelines:Experience withstreaming data pipelines, ETL processes, or real-time data processing., • Distributed tracing: Deep knowledge ofOpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures., • Gitexpertiseand experience working in a mono repository., • PreviousPharmacy Benefits Manager (PBM) or healthcare technology experience. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Salary Range$160,000—$220,000 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___.

The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Position Overview: We are seeking a highly skilled Solutions Engineer with a minimum of 3-5 years of experience, preferably in a customer-facing sales engineering role, to join our Commercial team in New York City. The ideal candidate will have a strong technical background in campus network design, including switching, wireless, and routing, and will be responsible for selling a broad portfolio including security, data center networking, compute, and collaboration solutions. Curio Key Responsibilities: * Serve as a trusted technical advisor and subject matter expert to customers and partners. * Design and present comprehensive solutions that address customer business needs and technical requirements. * Collaborate closely with sales teams to drive technical sales opportunities to closure. * Provide expertise in campus network design, including switching, wireless, and routing technologies. * Support sales efforts across security, data center networking, compute, and collaboration product lines. * Engage with partners to enhance solution delivery and customer success. * Maintain up-to-date knowledge of Cisco technologies and competitive landscape. Required Qualifications: * 3+ years of experience in a customer-facing sales engineering or technical pre-sales role. * Understanding or background in campus network design, including switching, wireless, and routing. * Experience selling or supporting security, data center networking, compute, and/or collaboration solutions. * Ability to translate complex technical concepts into business value. Preferred Qualifications: * Cisco CCNP Enterprise (CCNP EN) certification or Cisco Certified Internetwork Expert (CCIE) certification. * Proven track record of success in technical sales or solutions engineering roles. * Strong communication and interpersonal skills with the ability to engage effectively with customers and partners. * Familiarity with Cisco's commercial market and customer base. Personal Attributes and Mindset: * Demonstrates strong curiosity and a passion for continuous learning to stay ahead in a rapidly evolving technology landscape. * Committed to driving growth for customers, partners, and Cisco through innovative thinking and proactive engagement. * Thinks really big, embracing bold ideas and strategic vision to create impactful solutions. * Plays to win by maintaining a competitive spirit and a results-oriented approach in all endeavors. Location: New York City Metropolitan Area At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $205,500.00 to $259,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $205,500.00 - $298,300.00 Non-Metro New York state & Washington state: $197,600.00 - $286,900.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Hands On Design Engineer | NYC Onsite | $200K–$300K + Equity Location: New York, NY (Onsite) Compensation: $200K–$300K base + equity About the Company Our client is an early-stage productivity startup building a next-generation platform designed to replace fragmented office tools with a faster, more structured workspace for teams and knowledge workers. They’ve raised $20M+ and are on a mission to redefine how people collaborate and get work done. Role Overview We are looking for a Design Engineer who sits at the intersection of product, design, and frontend engineering. This is a hands-on role where you’ll own features from concept through implementation, helping shape the product experience and the technical direction of the platform. This role is ideal for someone who is passionate about both craft and performance, cares deeply about user experience, and thrives in a fast-paced, early-stage environment. What You’ll Do • Collaborate closely with designers and product managers to translate UX concepts into high-quality, performant features, • Build and maintain complex frontend components using TypeScript and React, • Take ownership of features end-to-end, including design decisions, implementation, and iteration, • Ensure that the product is performant, accessible, and visually polished, • Contribute to technical architecture discussions and help define best practices for the team Qualifications • Strong experience with TypeScript and React (Bonus for Rust), • Proven ability to design and implement clean, maintainable, and performant frontend code, • Hands-on experience bridging design and engineering, translating mockups into fully functional features, • Familiarity with collaborative, editor-style, or productivity-focused applications is a plus, • Excellent problem-solving skills and a product-oriented mindset, • Strong communication and collaboration skills Why Join • High-impact role with ownership over product and features, • Work at the intersection of design and engineering in a design-driven team, • Competitive compensation: $200K–$300K base + equity, • Early-stage startup environment with room to grow and influence the product direction, • Onsite in New York, with a team passionate about building a world-class product Hands On Design Engineer | NYC Onsite | $200K–$300K + Equity

Asepha is based in New York and Toronto, building agentic solutions that re-imagine how medications are prescribed, verified, and supported across the pharmacy ecosystem. Backed by $4M in funding and trusted by multiple Fortune 50 healthcare organizations, we’re scaling rapidly and seeking a talented, innovative Senior Software Engineer to join our growing team. As one of our early hires, you’ll play a critical role in shaping our engineering efforts, making key architectural decisions and writing code to expand our AI product line. You will play a pivotal role in balancing speed of execution with product quality, and have the opportunity to wear multiple hats, from frontend and backend development to devops and customer interactions. Your work will have a direct impact on improving pharmacy workflows and health outcomes. Join our mission: We’re building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start is clear, fast, and predictable. Asepha is the context graph for the therapy-start journey, connecting the fragmented steps that slow down medication access: intake, coordination, utilization management, and clinical services. Role and Responsibilities: • Design and build autonomous agents that handle complex, multi-step pharmaceutical workflows end-to-end, • Architect communication systems that coordinate across organizational boundaries, • Build robust orchestration layers for long-running tasks with graceful failure handling and human-in-the-loop escalation, • Develop frameworks that let agents interact with external pharmacy systems, databases, and APIs, • Implement evaluation and observability infrastructure to monitor agent behavior in production, • Integrate with healthcare data standards and legacy pharmacy systems, • Scale systems to handle real-time processing across multiple pharmacy networks Qualifications: • 5+ years of experience in software engineering with strong backend focus, • Proficiency in Python or TypeScript and deep knowledge of backend fundamentals: APIs, data stores, concurrency, distributed systems, • Experience with web frameworks and service-oriented architectures (FastAPI, Flask, or equivalent) and designing clean, versioned APIs, • Familiarity with caching, messaging, and database technologies (Redis, Kafka, SQL/NoSQL, vector databases) and how to use them for performance and reliability, • Experience building for cloud infrastructure (Azure, AWS, or GCP), • Experience building and deploying agentic AI systems. You understand tool use, planning, memory, and orchestration patterns, • You've built systems where the hardest part wasn't the code, it was figuring out what to build, • You've shipped something end-to-end with minimal guidance and owned the outcome, • Located in New York and can commute to our Manhattan office 3 days per week Perks: • Competitive compensation package, including $150-300k USD annual salary + stock options, • Full medical, dental, vision, • Unlimited days off to maintain a healthy work-life balance + 2 weeks of company-wide office closure during the holidays, • Complimentary breakfast provided daily and weekly team lunches in the office, • Professional development stipend Note: Only candidates selected for an interview will be contacted. Asepha is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech. Come join ___, a Connecticut Innovations portfolio company! ABOUT JONA Every aspect of our health has been shown to be affected by the gut microbiome. However, the complexity of the gut microbiome and the complexity of microbiome science requires advanced AI technology to truly analyze and harness personal gut microbiome data for health. At Jona, we envision a world where microbiome testing is more common than bloodwork. Our mission is to create that world by using AI to reveal the relationship between the microbiome and health to guide individuals, clinicians and innovators toward discovery and action. ABOUT THE ROLE We’re looking for a Senior Software Engineer to join our growing team and play a key role in building reliable, performant, and scalable systems across our product. You’ll work across the stack—from TypeScript APIs to modern React frontends—helping define architecture, improve developer experience, and drive code quality across the team. In this role, you’ll be expected to work closely with product, design, and fellow engineers to deliver user-facing features, refine our internal APIs, and evolve our platform architecture as we scale. You will see projects through from conception to production and everything in between. This is a remote role with the opportunity for monthly meetups with the team in New York City. ROLE OUTLINE Drive Technical Decisions • Propose, architect, and implement projects from the ground up., • Design, implement, and maintain scalable systems and APIs., • Work directly with other engineers, designers, and product management to efficiently deliver high-quality features for both external and internal audiences., • Build, test, and deploy new features across frontend and backend systems., • Don’t simply write code, own it all the way to production., • Continually improve our software delivery process., • Stay current with emerging technologies and frameworks, evaluating their fit for the organization., • Propose and lead initiatives that improve developer experience, CI/CD pipelines, and internal tooling., • Identify and resolve performance bottlenecks across frontend and backend services. WHAT YOU’LL BRING • 5+ years of professional experience building modern TypeScript web applications, • Deep understanding of React and Node.js, • Experience designing and integrating with RESTful and RPC-style APIs, • Strong knowledge of SQL (PostgreSQL preferred) and data modeling best practices, • Understand relational and non-relational databases, • Familiarity with modern CI/CD pipelines (GitHub Actions preferred), • Experience building and deploying production workloads on AWS, • Experience improving codebases through testing, observability, and refactoring, • Strong communication and collaboration skills, with a product-minded approach, • An understanding of security issues and responsibilities NICE TO HAVES • Experience working in a regulated environment (HIPAA), • Experience with any of the following:, • Next.js, Nest.js, Effect, Drizzle, Pulumi WHY JOIN JONA • Make a Mark: Help define customer success at a mission-driven, science-backed startup., • Grow with Us: Build relationships with leading physicians and health-conscious consumers., • Competitive Compensation: Includes salary and meaningful equity., • Full Benefits: Medical, dental, vision and more. Connecticut Innovations and its portfolio companies are equal opportunity employers. All employment decisions are based on qualifications, merit, and business needs, without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age.

Description The Scientific Computing & Data group at the Icahn School of Medicine at Mount Sinai (ISMMS) accelerates scientific discovery by supporting a high-performance computing and research data ecosystem. This includes a data commons and two clinical research data warehouses: one for ISMMS and one for the Kidney Precision Medicine Project (KPMP), a multi-institutional research consortium () funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Both warehouses use Microsoft SQL Server and the OMOP Common Data Model. The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading development, maintenance, and operations of these research data warehouses. The role collaborates with warehouse team members and research stakeholders to expand functionality and integrate new data sources. Data transformations are built in Transact-SQL stored procedures, with SSIS used for orchestration. Responsibilities • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager., • Design, build, test, and maintain ETL/ELT processes using T-SQL stored procedures, SSIS, and SQL Agent; apply metadata-driven design for extensibility., • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management., • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance., • Mentor junior engineers in data warehousing, data engineering skills, and operational support., • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON)., • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation., • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs., • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support., • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching., • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach., • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations., • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost., • Identify improvements in procedures, technology, compliance, and data privacy/security., • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring., • Perform related duties as assigned. Qualifications • Bachelor’s degree in a technical field; Master’s preferred., • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses. Preferred • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development., • Expert-level experience with Microsoft SQL Server technologies: T-SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, Linked Servers, SSIS, Visual Studio, SSDT, and SQL Agent., • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git., • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff., • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment., • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet)., • Preferred experience with Azure Synapse, Azure Data Factory, Oracle PL/SQL, PostgreSQL PL/pgSQL., • Experience with SQL Server administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations., • Preferred experience with scripting in Windows & Linux (PowerShell, Python, or similar); HL7; web services/REST APIs; reporting tools like SSRS, Power BI, Tableau. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: • Make it human. We care about the people that make up our customers, colleagues, and communities., • Make it about others. We do what’s best for our customers and collaborate to drive progress., • Make it happen. We work with intention toward a common purpose and forge ways forward together., • Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Principal Engineer POSITION LOCATION New York, NY YOUR ROLE We are seeking a highly experienced and driven Principal Software Engineer to lead the modernization of our Assessment platform. This role requires deep expertise in modern software development practices, a passion for emerging technologies, and the ability to provide strong technical leadership and mentorship. You will play a critical role in shaping the future of the platform, ensuring it is scalable, resilient, secure, and maintainable for long-term growth. What you will be doing • Responsibilities, • Architect and implement a modern Assessment platform using technologies such as TypeScript, React, React Native, Flutter, and GraphQL., • Establish and champion best-in-class engineering practices to ensure systems are modular, scalable, resilient, and flexible., • Define and enforce coding standards, architectural patterns, and quality metrics to maintain high engineering standards., • Lead technical design discussions, perform code reviews, and provide hands-on guidance across the engineering team., • Design and implement CI/CD pipelines and contribute to DevSecOps practices., • Contribute to platform hosting, deployment, and runtime strategies, ensuring reliability and performance at scale., • Deliverables / Results, • A modernized, production-ready Assessment platform supporting both B2B and B2C use cases., • Well-documented, maintainable codebases aligned with agreed architectural standards., • Consistent, repeatable deployments enabled by standardized CI/CD pipelines., • Improved system performance, reliability, and scalability across web and mobile platforms., • Strong technical foundations that support future feature development and platform expansion., • Impact / Value Add, • Raise the technical bar across the organization by modeling engineering excellence and best practices., • Reduce long-term technical debt through thoughtful architecture and disciplined execution., • Accelerate delivery by enabling teams to build on a stable, scalable platform., • Improve customer and partner experiences through reliable, high-quality applications., • Enable the business to confidently scale assessments, integrations, and transaction volumes., • Ownership, • Own the technical vision and architecture of the Assessment platform., • Serve as a key decision-maker for technology choices, architectural trade-offs, and implementation approaches., • Take accountability for platform quality, performance, and long-term sustainability., • Identify and proactively address technical risks, scalability challenges, and architectural gaps., • Collaboration, • Partner closely with Product Managers and business stakeholders to translate requirements into robust technical solutions., • Collaborate with engineering peers, mobile and web teams, and shared services to ensure architectural alignment., • Mentor and coach engineers, fostering a culture of learning, quality, and continuous improvement., • Work cross-functionally with security, infrastructure, and operations teams to support platform reliability and compliance. What you bring • Perspective, • A systems-level mindset with the ability to balance short-term delivery needs against long-term architectural health., • Strong product and business awareness, enabling you to align technical decisions with customer, partner, and organizational goals., • An ownership-oriented approach that views platform reliability, scalability, and maintainability as shared, long-term responsibilities., • The ability to anticipate technical risks and proactively design solutions before issues surface at scale., • Qualities, • Hands-on technical leader who leads by example and is comfortable operating at both strategic and implementation levels., • Curious, pragmatic, and outcomes-driven, with a passion for continuous learning and improvement., • Clear and confident communicator who can influence technical direction across teams and stakeholders., • Resilient and adaptable in fast-moving environments, with a strong bias toward action and accountability., • Collaborative mentor who elevates the capabilities and confidence of other engineers., • Education, • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience., • Advanced degree is a plus but not required., • Skills, • Expert-level proficiency in modern application development, including:, • TypeScript, Node.js, Next.js, • React, React Native, Flutter, • Swift and Kotlin, • Strong experience designing and consuming GraphQL and REST-based APIs., • Deep understanding of database design and performance, with hands-on experience using PostgreSQL and MongoDB., • Experience building and maintaining CI/CD pipelines and contributing to DevSecOps practices., • Strong knowledge of mobile application delivery across iOS and Android, including release and store lifecycle management., • Familiarity with event-driven and asynchronous systems, including messaging and queue-based architectures., • Experience integrating with third-party platforms such as SSO providers, payment systems, and eCommerce services., • Competencies, • Platform and systems architecture, • Technical decision-making and trade-off analysis, • Code quality, testing strategies, and maintainability, • Performance, scalability, and reliability engineering, • Security-aware design and implementation, • Technical mentorship and engineering excellence, • Cross-team technical alignment and influence, • Experience, • 10+ years of professional software development experience, with a significant portion in senior, staff, or principal-level roles., • Proven success delivering large-scale, high-impact platforms in production environments., • Experience building B2B APIs, B2B portals, and assessment or transaction-based systems., • Hands-on experience with real-time or near-real-time systems, including video or communication platforms., • Experience building and operating mobile applications with demonstrated adoption and quality outcomes., • Track record of partnering effectively with product, design, and business stakeholders to deliver meaningful results. Employee Benefits & Well-Being Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives. • Competitive Compensation & Total Rewards Incentives, • Comprehensive Healthcare Coverage, • Multiple 401(k) Savings Plan Options, • Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!), • Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave, • Disability, Life, and Long Term Care Insurance, • Tuition Reimbursement, Student Loan Repayment and Training & Certification Support, • Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management), • Caregiver and Mental Health Support Services

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools 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:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 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 ___. 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 Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale's data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We're looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation. • Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale's ecosystem., • Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration., • Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency., • Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns., • Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads., • Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers., • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments., • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence., • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience., • 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms., • Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases., • Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments., • Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs. Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas. 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:$216,200—$270,250 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 ___. 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 Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. • Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers., • Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models., • End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle-from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation., • Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation., • Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems., • Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology., • 5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis)., • Proven track record of shipping high-quality data products, models, or features at scale., • Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions., • Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets., • Ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI., • Excited to join a dynamic, hybrid team in either San Francisco or New York City., • Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant)., • Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems., • Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray)., • Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. 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 ___. 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 Position Summary: We are seeking a highly motivated and talented Data Engineer I (Analytics Engineering) to help build and scale Capital Rx's analytics foundation. This role focuses on developing high-quality, analytics-ready datasets and a consistent metrics/semantic layer that power reporting, self-service BI, and operational insights. You will work heavily in dbt and Snowflake to design durable data models, define trusted business metrics, and ensure data quality through testing, documentation, and observability-partnering closely with operational, product, and analytics stakeholders to translate business questions into reusable data products that drive measurable outcomes. Position Responsibilities: • Partner closely with operational and analytics teams to translate business needs into analytics-ready data models, curated data marts, and reusable datasets., • Build and maintain dbt projects (staging intermediate marts), including model layering, macros, exposures, packages, and source freshness to accelerate delivery and improve reliability., • Design and evolve dimensional models (facts/dimensions, grain, SCD patterns) and analytics patterns aligned with key business domains., • Own metrics definitions end-to-end: establish KPI logic, naming standards, calculation rules, and governance; maintain a metrics/semantic layer so stakeholders use consistent definitions across tools and teams., • Implement robust data quality practices (dbt tests, constraints, anomaly checks/monitoring) to ensure reliable downstream reporting and decision-making., • Produce clear documentation and enablement assets (dbt docs, lineage, data dictionaries, metric definitions, onboarding guides) to support self-service analytics., • Optimize warehouse performance and cost in Snowflake through SQL tuning, incremental models, appropriate materializations, and efficient data design., • Use disciplined software engineering practices (Git-based workflows, peer review, CI checks, versioning, environment promotion) to deploy changes safely and repeatably., • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity., • Provide ongoing support for critical analytics data products and participate in an on-call rotation as needed., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)., • Strong SQL skills and experience building analytics datasets in a modern cloud data warehouse (Snowflake preferred)., • Hands-on experience with dbt core (model development, tests, documentation, macros, deployments)., • Solid foundation in data modeling (dimensional/Kimball concepts, facts/dimensions, grain, slowly changing dimensions)., • Experience defining and managing metrics: translating business logic into consistent KPI definitions, documenting edge cases, and maintaining metric governance over time., • 1+ years of experience delivering production-grade analytics models/marts or BI-ready datasets (internships/co-ops may be considered depending on leveling)., • Ability to collaborate effectively with both technical and non-technical stakeholders; strong communication and documentation skills., • A self-motivated, detail-oriented individual with the ability to tackle and solve intricate technical challenges and deliver high-quality work. Preferred Qualifications: • Experience in healthcare, PBM, insurance, or other regulated data environments., • Deep familiarity with Snowflake and experience supporting multiple warehouses or databases as environments evolve (e.g., Redshift and/or Postgres)., • Familiarity with semantic/metrics layer patterns and practices (e.g., consistent metric definitions, metric governance, semantic modeling approaches) and enabling KPI consumption across BI tools., • Experience with CI/CD for analytics (automated tests, PR checks, environment promotion) and data observability/monitoring practices., • Working knowledge of Python for data tooling or analytics enablement (e.g., automation, validation checks), and comfort collaborating with orchestration/workflow tools when needed. This range represents the low and high end of the anticipated base salary range for the NY-based position. The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx 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. Salary Range$100,000—$120,000 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___.

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, 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:$179,400—$224,250 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 ___. 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 Henderson, we're about more than just buildings We're about the people, experiences, and potential found inside. We're a company of problem-solvers and innovators known for our technical excellence and ability to come up with out-of-the-box solutions. We love the process of bringing buildings to life. And we're changing the industry by integrating the building design and construction process. As an ESOP, each of our employee-owners are an essential part of our mission to lead the industry in innovation, sustainability, and client experience. With a vision to build a better world, Team Henderson has a people-first culture and diverse portfolio of world-class facilities. It's What We Do We provide total building system design services across multiple high-growth markets for industry leaders. You'll get to use your talent to work on projects for some of the biggest names in mission-critical, higher education, sports, healthcare, grocery, restaurant, and retail within the sectors we serve in business, community, grocery, health, retail, & venue. It's How We're Different We're about more than just buildings. We're about you. You, and the hundreds of passionate employee-owners who make us who we are. We've always been committed to providing an inclusive workplace where people can bring their full self to work and helps people reach their full potential - both as professionals and individuals. Together, we dream up innovative solutions for industry-wide problems, design spaces that become landmarks, and toast the good life at our happy hours. Take a peek into what makes us different here: ___ Position Overview: As a senior project manager at Henderson Engineers, you will have the opportunity to contribute your expertise to our six market sectors, including Business, Community, Grocery & Distribution, Health, Retail, and Venue. Within each sector, we seamlessly integrate our engineering knowledge with the in-the-field experience of our sister company, ___, to deliver a client experience unlike any other in the industry. To learn more about the facilities included in our sectors check out our website: ___ Key Responsibilities: • Oversee and coordinate all aspects of project planning, execution, and client experience., • Manage the development of project proposals, contracts, and project budgets., • Plan and coordinate project deliverables, delegating as needed., • Manage client service and project communication, maintaining proactive communication throughout the project life cycle., • Monitor and ensure adherence to budgets and financial expectations., • Responsible for overall project performance., • Manage and develop program contracts and project fee matrices., • Manage client service and communication, maintaining proactive communication throughout the project life cycle., • Define and manage project quality expectations., • Ensure deliverables meet project objectives and quality expectations., • Develop the scope of work and fees for complex projects to mitigate risk throughout the project life cycle., • Serve as the primary project/program contact and brand ambassador., • Maintain regular communication with clients and sub-consultants to ensure satisfaction with the project process and engineering work product, and that client views are managed toward the best solution., • Anticipate and proactively resolves project-related conflict, balancing the interests of internal and external stakeholders and sharing lessons learned to improve overall client experience., • Partner with sector and practice leadership to create and support business development strategies within their sector or practice., • Bachelor's degree in engineering, construction management, science, technology, or business preferred. 4 years of relevant experience within the AEC or Professional Services industry will be considered in lieu of requisite education., • 14 years of relevant experience required, including at least 10 years cumulative of project management experience., • Advanced proficiency in project management standards and execution required., • Experience with Revit, CAD,and/or Bluebeam., • Project management certification preferred. Individual salaries may be higher or lower than the stated range depending on factors unrelated to the applicant's race, color, religion, gender, sexual orientation, gender identity, national origin, ethnicity, age, or disability. Salary can vary from this range based on geographic cost of labor statistical differentials. Salary ranges: New York Salary Range: $129,722 - $194,583 Los Angeles Salary Range: $123,342 - $185,014 Denver Salary Range: $116,963 - $175,444 Philadelphia Salary Range: $116,963 - $175,444 Las Vegas Salary Range: $111,646 - $167,469 NOTICE TO CANDIDATES: RECRUITMENT FRAUD ALERT Henderson representatives conduct all email communications exclusively through a company email address that ends with @hendersonengineers.com, @hendersonbuilding.com. We extend offers of employment only after a comprehensive interview process and will never ask you for a payment of any sort nor offer one for any reason. Henderson will not ask any applicant to purchase equipment, nor offer to reimburse any applicant for expenses incurred prior to employment. We will not request personal information until a legitimate offer of employment has been extended. If you suspect a recruitment attempt is fraudulent, you should cease communications. You may contact us at ___ to verify whether a recruitment contact is legitimate. All legitimate job opportunities are posted on our company website's careers page.

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: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. • Build features for agentic systems including multi-layered guardrails and data retrieval optimization., • Develop data pipelines and machine learning infrastructure to make data sources accessible by agents., • Collaborate with cross-functional teams to execute backend solutions for secure environments., • Participate in customer engagements to understand requirements and deliver technical solutions., • Define requirements with stakeholders and implement features until they are accepted., • 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 ___. 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.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our Billing Team We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products. You'll be deeply involved in building flexible, new systems to support customer billing use cases, implementing complex billing partitioning schemes based on dynamic criteria, and/or improving customer invoice generation and balance visibility. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them incl coding, talking to customers, defining requirements, etc. We strongly believe the best engineers own outcomes and deeply understand customer problems. • Design, implement, and operate flexible and accurate financial systems, • Work across backend, frontend, and accounting-related systems, • Deliver at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • Be able, and willing, to multi-task and learn new technologies quickly, • Provide critical input in the Billing team's roadmap and technical direction, • Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure., • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution 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 ___. 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 AtRelativity, 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 aGroup Product Managerwith strong product management and communications background to creatively solve for the needs of our customer base. You will be responsible for creating and executing a product vision for a portfolio of products. To help, you will manage a team of ProductOwnersand together you will partner on managing the full product lifecycle from strategic planning to tactical execution. A successful candidate must be energized by building deep customer empathy, collaborating with design and development, discovering opportunities through data analysis, and creating and communicating progress through leading indicators. Focused on Relativity's Data Extensibility products, you will be responsible for helping create innovative solutions which empower clients to create, manage and leverage data in RelativityOne that drive custom workflows and tailored AI solutions.You will represent the portfolio at conferences and speaking engagements as an expert in the field. You will help lead a team of skilled PMs focused creating exceptional user experiences and actualizing the vision and strategy you lay forth. This is a high-impact role for a technical product leader who deeply understands both developer and end-user workflows and the critical role custom data plays in creating AI-first platforms. You will drive the evolution of our custom data strategy in support of rapidly changing user needs and our quickly evolving platform. Job Description and Requirements Role Responsibilities Job Description and Requirements * Set Strategic Direction:Define the long-term roadmap for ourdata extensibility offeringwhichenables clients to bring incustomstrategicdatathataddsimportantcontext to their cases and drives action. * BringCustomerCentricity:Lead your team infrequentlyconnecting with the customer tocrystallizepain points andbuildroadmapswhichbalanceimmediate customerneedswithlongtermneeds of thebusiness. * ChampionDevelopersandEndUsers:Deeply understand and advocate for both developer and end user personas,ensuring Relativity builds the right APIs, tools, and UI workflows to satisfy theirdiverseneeds. * Collaborate Cross-Functionally:Work closely with peers across product, engineering,securityand finance to ensure alignment between platform capabilities and business needs; particularly close partnership with AI. * Measure and Optimize:Define key success metrics for adoption, performance, efficiency, and reliability - and drive continuous improvement through data-driven prioritization. Job Responsibilities * Craft and shape the product strategy and portfoliothat both impacts and is shaped by cloud and AI transformationwitha cohesive roadmap that encompasses product, technology, and adoption. * Clearly communicate product vision, strategy, and roadmapto a range of audiences from internal/external stakeholders, senior leaders, and customers with varying levels of technical acumen. * Lead with a data- and KPI-driven approach,utilizingboth qualitative and quantitative data from deep user, customer, market, competitiveinsightand data to articulate clear long-term product vision,identifynew strategic opportunities, and gain organizational buy-in. * Manage effectively via Objectives and Key Resultsalongside leading indicators of product health and project success; drive tactics based on insights from portfolio metrics and reporting. * Discover and deeply understand bothdeveloper and end userneedstoidentifyopportunities andproposesolutions thatexpand the value they derive from Relativity. * Craft thoughtful adoption & enablement strategiesfor successful and productive adoption ofcapabilities. * Lead research and proposals to drive build/buy/partner decisions; work collaboratively with design and development tovalidatedirection and solution; work with product marketing on go to market strategies. * Own the operation of your portfolio, including managing customer roadmaps, capturing customer feedback signals, and reporting outcomes clearly and succinctly. * Model and exemplify being a great people leaderas well as mentor and coach junior team members, help improve the team's operations, and contribute to team-wide initiatives. * Adaptableplayerandcoachfor your team members and portfolio. * Buildand owncomprehensivesolutionswhichconsistentlydelight customers,coveringeverything from product functionality tohelp documentationandSupportteaminteractions. Minimum Qualifications * 10+ years of experience in product management or working closely with product managers to delivergreat valueto engineers as customers * 3+ years of experience inspiring, managing, and coachingProduct Owners asdirect reports * Proventrack recordof quantifiable, measurable impact withchampioning custom data/workflows * Strong technical fluency - able to engage in architecture discussions, understand tradeoffs, and influence technical direction. * Experiencebuilding highly customizable data platform experiences thatpower AI and/ordrive action * Excellent communication and storytelling skills, with the ability to inspire teams and gain executive alignment. * Familiarity and comfort with data,including the ability to use data to analyze andmonitorproduct health, set goals, back up assumptions, and track success. * Strong tactical execution with the ability to handle multiple projects simultaneously * Detail-oriented without losing focus on strategy and big picture objectives * Excellent communicator and presenter, both written and verbal * Solid understanding of software development lifecycle and agile * Bachelor'sdegree in Business, Computer Science, Engineering, or Design or comparable work experience. Preferred Qualifications * Strong technicalexpertisein microservice architecture and one or more cloud platforms * Direct/prior experience as a software engineer or workingclosely withmanaging highly technical product solutions * You are excited and curious abouthighly complexproblems, systems, and interactions * A team player with proven ability tovalidatesolutions and deliver features frominceptionto delivery 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: $166,000 and $250,000 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: Business Development, Collaboration, Innovation, Leadership, Market Analysis, Market Strategy, Mentorship, Product Lifecycle, Product Management, Stakeholder Management

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. 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. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. 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 ___. 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 goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you'll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like ___ and ___, we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: • Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability., • Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data., • Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently., • Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets., • Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions., • Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts., • Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments., • Partner closely with engineering managers, product leaders, and researchers to scope high-impact initiatives and unblock execution across teams. Ideally You'd Have: • 8+ years of experience building and deploying applied ML systems in production environments., • Deep experience with agentic systems, autonomous workflows, or ML systems that reason and act over multiple steps., • Strong background in ML systems engineering, including model serving, pipelines, monitoring, and evaluation., • Hands-on experience with retrieval systems, embeddings, or representation learning., • Proficiency in Python and modern ML frameworks (ex: PyTorch), with the ability to design systems end to end., • Demonstrated ability to operate at Staff-level scope: setting technical direction, owning ambiguous problems, and driving 01 initiatives to production., • High ownership over 01 systems that move directly into production., • Real-world constraints that force thoughtful engineering tradeoffs, not just model tuning., • Opportunity to shape foundational agentic infrastructure used across multiple teams and missions. 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 ___. 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's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • 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., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) 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., • 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., • Understand unique DoD and USG constraints when it comes to technology. 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:$273,700—$341,550 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. 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:$238,050—$297,850 USDPlease 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 Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 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 ___. 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 goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers., • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • This role will require an active security clearance or the ability to obtain a security clearance., • Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems 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 ___. 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 The Advanced Software Engineer designs, builds, and operates cloud-native web applications that power our business. This role blends strong technical skills with a collaborative mindset to deliver secure, scalable, and high-performance solutions on Microsoft Azure while continuing to grow technical depth and architectural understanding. Job Description and Requirements WhatYou'llDo * Design, develop, andoperatesecure, maintainable, and scalable web applications using object-oriented principles, modern architecture, and cloud-native patterns. * Build andmaintainsolutions for data migration and integration between systems, including workflow automation and data transfer processes. * Participate in design discussions, share ideas, and implement solutions that follow best practices for performance, reliability, and security. * Write clean, testable code and apply automated testing, static analysis, and observability tools to ensure reliability and maintainability. * Work across both front-end (modern JavaScript frameworks) and back-end (service-oriented systems built on .NET or similar) components. * Use microservices, containers, and managed Azure services (.NET, Cosmos DB, SQL Server, App Services, Docker) to deliver scalable cloud platforms. * Leverage AI-assisted coding tools (e.g., Copilot, Cursor) to accelerate development, reduce boilerplate, and focus on solving meaningful business problems. * Collaborate closely with peers, designers, and product managers through pair programming, code reviews, and shared design sessions. * Contribute todocumentation, help refine engineering practices, and learn from senior engineers to strengthen your craft. WhatWe'reLooking For * 3-5 years of professional experience building commercial-grade software and/or cloud-native applications. * Practical experience with cloud services, Docker, .NET, JavaScript, Cosmos DB, or SQL Server. * Solid understanding of object-oriented design, distributed services, and modern development practices. * Experience with data integration concepts, including ETL workflows and API-based integrations (prior experience with Relativity Integration Points is a plus, but notrequired). * Demonstrated ability to deliver solutions in collaborative, fast-paced environments. * Strong problem-solving, communication, and teamwork skills. 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: $103,000 and $155,000 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: Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. You will: • Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products., • Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines., • Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability., • Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles., • Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment., • Document pipeline processes and configurations to ensure maintainability and knowledge transfer., • Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes., • 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role., • Proven track record of building or significantly enhancing CI/CD pipelines., • Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Familiarity with cloud platforms (e.g., AWS, Azure, GCP)., • Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell)., • Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps)., • Knowledge of software architecture, system design, and version control systems., • Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems., • Basic understanding of security best practices in software development and an eagerness to integrate them., • A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows., • Strong problem-solving, analytical, collaboration, and communication skills., • Experience with containerization technologies (e.g., Docker, Kubernetes)., • Exposure to machine learning lifecycles or MLOps concepts. 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 ___. 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.

You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you'll be doing... You'll be the collaborative technologist leading the charge for AI integration within our Product & Marketing Organization. This role is designed for a transformation practitioner who is passionate about how AI reshapes team structures, decision rights, and execution models. You won't just be talking about change; you'll be partnering with senior strategists and squad leaders to design and implement the future-state operating models that make AI adoption sustainable. You'll be the primary architect of "what's next" for our internal workflows, ensuring our teams aren't just using AI, but are transformed by it. * Directing AI Implementation: Monitoring usage to continuously improve solution effectiveness, user experience, and overall ROI. * Building Automation Agents: Leading the development of AI agents to automate high-friction tasks like research, case triage, and compliance tracking. * Identifying High-Impact Use Cases: Collaborating across Product, Growth, and Retention functions to find where AI can move the needle. * Establishing Architecture: Reviewing complex processes for automation, maintaining our prompt library, and evolving tools based on user feedback. * Acting as a Technical Liaison: Triaging incoming AI requests to determine if the solution requires a quick build, a guided tutorial, or a platform-level escalation. * Designing Low-Code Solutions: Rapidly prototyping prompts and workflows, then iterating based on real-world user testing. * Coaching and Enablement: Leading hands-on working sessions to help teams build their own AI solutions with confidence. * Analyzing Trends: Identifying where teams are getting stuck and proactively delivering targeted support to drive behavioral change. What we're looking for... You are a "Transformation Engineer" who balances strong analytical skills with a deep understanding of organizational design. You have a genuine curiosity about AI's practical applications and a knack for navigating ambiguity. You aren't afraid to dive into the low-code weeds, but you also have the executive presence to engage with senior leaders. You thrive on helping others have "lightbulb moments" and believe that the best AI strategy is one that people actually use. Where You'll Be Working...In this hybrid role, you must reside within a commuting distance to one of the work locations listed on this position, and your work will include work from home and assigned office days set by your manager. You'll need to have: * Bachelor's degree or four or more years of work experience. * Six or more years of relevant work experience * Six or more years of experience in professional services, enterprise architecture, or a similarly complex corporate environment. * Two or more years of hands-on experience building with generative AI tools, including low-code AI agents, prompt engineering, and rapid prototyping. * Experience facilitating discovery conversations and translating business pain points into technical AI requirements. Even better if you have one or more of the following... * Working proficiency with AI platforms such as Anthropic Claude, Microsoft Copilot, or Google Workspace Studio. * Demonstrated ability to coach, train, and enable non-technical teams to adopt complex tools. * Experience leading AI governance, strategy development, or building an AI COE. * Background in change management or technology enablement programs. * Familiarity with AI adoption analytics and using data to drive internal software usage. * Experience creating internal training content, communications, or thought leadership regarding AI topics. * Experience with vendor evaluation and pilot program design from a practitioner's perspective. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. 40 Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00. The annual salary range for the Colorado location(s) listed on this job requisition based on a full-time schedule is: $132,500.00 - $231,000.00. The annual salary range for the Illinois location(s) listed on this job requisition based on a full-time schedule is: $132,500.00 - $231,000.00. The annual salary range for the Maryland location(s) listed on this job requisition based on a full-time schedule is: $132,500.00 - $231,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $132,500.00 - $231,000.00.

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 Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. 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___.

Job Title: Senior Software Engineer Duration: 6+ months (CTH) Location: hybrid (Newark, NJ) Summary As a Senior Software Engineer on the Retirement Strategies Technology team, you will partner with product owners, tech leads, designers, engineers and delivery professionals to deliver quality platforms and products with speed.? You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is What You Can Expect on a Typical Day Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; remove technical impediments?? Develop high quality, well documented and efficient code adhering to all applicable Prudential standards?? Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact? Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems?? Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day?? Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables. Use programming languages including but not limited to Java, JavaScript, Springboot, Node.js frameworks? The Skills & Expertise You Bring: Bachelor of Computer Science or Engineering or experience in related fields Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization?? Experience with agile development methodologies and Test-Driven Development (TDD) Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges Excellent problem solving, communication and collaboration skills Advanced experience and/or expertise with several of the following: Programming Languages:? Java, Java Script; working in distributed systems, object oriented programming, design patterns and design methodology; JAVA services using Spring,, Microservices, multi-threading, Concurrency and parallel processing Frameworks:?Springboot, Node.js Data Store:?NoSQL or Relational Data structures; Data Streaming:?SQS, SNA Application Programming Interfaces (API): Consumption & Development; implementing service oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SQL API Management & Integration : Kong, Apigee Unit, interface and end user testing?concepts and tooling (functional & non-functional) Automated testing Accessibility awareness Software security skills?including?secure coding, web application security and ; Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service proxies, firewall, SAML 2.0, OpenID Connect, OAuth 2.0) Dev Ops Tools & Practices: Branching techniques and usage of GitHub; DevOps Software Development Life Cycle (SDLC): Monitoring and logging techniques AWS Core Services across compute, storage, DB, IAM Preferred Qualifications: Strong experience with Domain Driven Development (DDD) AWS cloud native solution development Architecture Patterns Design and critical Thinking Financial/Insurance industry experience is a must, not a plus People Leadership Experience is a plus. Experience with agentic frameworks and AI driven development tools is a major plus [Claude Code, GitHub Copilot etc]

Senior AI Engineer (REACT/Front End) Location: Hybrid, USA (Birmingham, MI, Chicago, IL, New York, NY, Fort Lauderdale, FL) Employment Type: Full-Time Compensation: $120,000 - $149,750,000 (Range applies to US candidates only) + Benefits/Variable Comp/Equity - Range may vary based on experience. Benefits Offered: Vision, Medical, Life, Dental, 401K Summary As a Senior AI Engineer you will be a critical member in executing our AI development initiatives within the OneStream platform. 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. Your primary function will involve overseeing the entire lifecycle of AI and software subsystems-from defining requirements and designing systems to project planning and implementation. This critical role is instrumental in enhancing our AI capabilities, directly impacting our products' performance and scalability across various markets. In this position, you will also play a key leadership role, collaborating with cross-functional teams including Solution Engineering, AI Delivery, and Cloud Engineering. Your expertise will not only drive innovation but also mentor and guide other engineers, ensuring high-quality deliverables and promoting a culture of excellence. Primary Duties and Responsibilities • Lead the design and development of scalable, high-performance applications and services using a variety of front-end and back-end technologies., • Design software subsystems and lead the project management and timely execution., • Use Python and SQL to build AI systems and functionality., • Troubleshoot and debug issues across the full stack, from the user interface to the database layer., • Lead technical design sessions to decompose and design complex systems and interfaces, ensuring they meet both technical and user requirements., • Lead code reviews, provide technical guidance, and mentor junior engineers., • Plan out product releases at a strategic and tactical implementation level for the rest of the team. Required Education and Experience • Bachelors Degree or similar work experience., • CS/DS/EE/CE Degree or similar experience., • 3-5 Years experience building and deploying production-level machine learning solutions or similar experience., • 3-5 Years of Python (or similar experience)., • Proficiency in Database schema design., • Proficiency of distributed systems and cloud-based computing. Preferred Education and Experience • Experience with web services and API frameworks (Flask, FastAPI, etc.)., • Knowledge of distributed systems and cloud-based computing. Knowledge, Skills, and Abilities • Quick learner who can understand and self-teach new technologies., • Ability to multi-task and prioritize ongoing activities based on importance., • Writes code using timeless software design patterns (dependency injection, volatility decomposition, etc.)., • Adaptable to changes in technology and the business environment., • Strong ability to analyze problems, trace them to their core causes, and effectively address them in a systematic manner., • Excellent verbal and written communication skills, capable of mentoring junior engineers and leading project teams., • Proficient organization skills to lead and deliver complex projects on schedule., • Capable and comfortable effectively presenting in front of your peers., • Comfortable engaging and presenting to C-level executives from time to time. Travel • Minimal travel is 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 andcamaraderie., • 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-REMOTE #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.

Posting Type Remote/Hybrid Job Overview Relativity is aprivate equity-backed, legal data intelligence Software as a Service leadertrusted by legal teams, governments, and enterprises around the world. Our platform powers investigations, litigation, and compliance for some of the most complex data challenges. By combining advanced AI, powerful analytics, and cloud-based technology, we help teams make sense of massive volumes of information and move critical work forward faster and more accurately. With a culture that values curiosity, collaboration, and continuous learning, this is your chance to join a company that combines thestability of an established leaderwith theenergy of a startup. Job Description and Requirements What We Do At Relativity, engineersdon'tjust write code-they shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs,identifiesconfidential information, and detects languageindicatingmisconduct.We'rereimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation. We are looking for a Principal Engineer to help define and build our next generation of cloud-native platform systems.This person willhelp shape our strategy for how we support internal and external customers'integration needs in a cloud-native, multi-tenant environment. Ifyou'repassionate about solving hard problems, designing for scale, and building tools that matter-while working in a culture that values transparency, innovation, and shared success- Relativity offers the opportunity to make a measurable difference in the marketplace. WhatYou'llDo * Deliver critical business value by solving complex problems that span teams and organizations. * Design and build architecture that is flexible, performant, and efficient to the needs of the business. * Prioritize capabilities over features, plan for change and abstract complexity away from dependent teams. * Partner with fellow leaders toidentifyproblems and align on their nature; solve these problems withelegant,scalablesolutions. * Be respected as a technical leader of your domain,demonstratingdeepexpertise,collaboration,andstrong business acumenwhileembodyingengineering excellence. * Set enterprise standards for system flexibility, maintainability, security, testability,andreliability;work with teams to implement them. * Influence and align engineering execution with company-level strategywhile shapingexecutive-level product and platform decisions. * Collaborate daily with a diverse group of teammates and product partners to solve problems & deliver value. Mentor engineers,leaders,and executives. * Be an awesome teammate whodemonstratescuriosity and continuous learningwhileshapingeengineering culture atscale. WhatWe'reLooking For Required * 12+ years of experienceowning,buildingandshaping large-scale, cloud-native platforms. * Experience defining organization-wide technical standards. * Deep involvement in security, compliance, and reliability strategy. * Ability to align technical vision with company-level strategy. * Proven influence at senior and executive levels. * Exceptional mentorship, communication, and strategic thinking skills. Nice to Have * Background in legal tech, AI-enabled platforms, or regulated domains. * External thought leadership or industry contribution. * Familiarity with AI development tools like GitHub Copilot, Cursor or Claude Code. * Experience working in global or highly distributed organizations. WhyWe'reAGreatFit forYou * Impactful Mission:Organize Data, Discover theTruthand Act on It -Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform. * Growth Path:Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth. * Engineering Culture:Continuous delivery, strong observability, and end-to-end ownership. * Inclusive Environment: Diverse backgrounds and perspectives make us stronger. * Community Impact:Volunteer opportunities and company-sponsored charitable programs. * Compensation & Benefits:Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annualcompany breaks,home office stipend, and an equity program. When you join Relativity,you'renot just taking a job-you'recontributing to a mission that matters.You'llwork alongside talented professionals across the globe, tackle complex challenges at scale, and 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: $210,000 and $314,000 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, Algorithms, Automation, Distributed Systems, Mentorship, Problem Solving, Software Architectures, Strategic Planning, System Designs, Technical Leadership

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. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. 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 ___. 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 (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 ___. 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.

Senior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, Machine Learning Engineering 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).

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 ___. 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 Position Summary: Join our Scalability team as a Senior Scalability Engineer focused on streaming andrealtimesystems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, andrealtimeevent processing. Your work will handle systems processing hundreds of thousands to millions of records per batch whilemaintainingstrict ordering guarantees andexactly-oncesemantics. Working closely with our clients and cross-functional teams,you'llbuild foundational streaming infrastructure while partnering directly with product teams to implementrealtimecapabilities that power critical business workflows. Position Responsibilities: In this role,you'llprovide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: • Own streaminginfrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records whilemaintainingstrict ordering and delivery guarantees., • Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization., • Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability., • Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support., • Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines., • Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack., • Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning., • Make strong architectural choices through careful evaluation and prior experience with distributed systems., • 10+ years of software engineering experience withdemonstratedprogression into technical leadership roles., • 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure., • Strong expertise in Python (Flask/SQLAlchemy) for production applications., • Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms., • Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms., • Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns., • AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration., • Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases., • Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability., • Rust development experience or strong interest in learning Rust for high-performance systems., • Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure., • Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms., • Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Salary Range$160,000—$220,000 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___.

Job ID 2026-4638 Category Sales Job Locations US-NY-New York Workplace Arrangement Remote Lead HighImpact AV/IT Strategies as a Senior Pre-Sales Solutions Engineer at Shure As a Solutions Engineer, you'll be a key partner to our B2B customers - helping them understand how Shure's industryleading technology can solve realworld challenges. You'll create demand by proactively engaging prospects, uncovering needs, and proposing smart, tailored AV/IT solutions that elevate the customer experience. You'll use your technical insight to engage customers early, understand their challenges, and recommend the best path forward with Shure solutions. We're looking for someone who communicates with confidence, understands AV/IT systems deeply, and thrives in a consultative, relationshipdriven environment. If you enjoy solving problems, educating customers, and driving meaningful business growth, you'll feel right at home here. This role is based in the New York City, NY area. If you are interested in similar roles in other metropolitan areas across the U.S., please view our openings at Identify and Target Prospects: Research and identify potential B2B customers who could benefit from Shure's AV and IT solutions. • Lead Generation: Develop and implement strategies to generate leads through various channels, including webinars, social media, and industry events., • Market Research: Stay updated on industry trends, competitor activities, and customer needs to refine prospecting approaches., • Qualify projects and determine their potential readiness to benefit from Shure's solutions., • Customer Needs Analysis: Understand and document customer business challenges and needs through active listening and strategic questioning., • Product Education: Develop and deliver customized content to educate prospects about Shure's products and solutions, demonstrating how our offerings can address their AV and IT requirements effectively., • Solution Proposal: Lead complex solution design and implementation by delivering tailored recommendations to address end-user needs., • Sales Targets: Meet or exceed assigned sales targets and KPIs through effective management of the sales cycle (Opportunity tracking in Salesforce)., • Proactively monitor expansion and growth opportunities with key accounts., • Team Collaboration: Work closely with the sales team, marketing department, customer success, and technical experts to ensure cohesive and comprehensive customer experiences., • Reporting: Maintain accurate and up-to-date records of prospect interactions, sales activities, and performance metrics using Salesforce CRM tools., • Represent Shure at Industry events and conferences., • Act as a thought leader to drive adoption of new technologies and best practices., • Lead customized end-user engagement activations., • Bachelor's degree in Engineering, Marketing, Communications, or a related field., • 5 or more years of experience using skills as a seasoned, experienced professional with a comprehensive technical knowledge of audio principles and products., • Experience providing audio technical support, audio design, and audio equipment set-up., • Background or experience with 1-2 of the following: Integration, conferencing, or networking., • Understanding of industry practices and/or company policies and procedures., • Excellent communication and presentation skills., • Enjoy meeting and dealing with new people., • Knowledge of audio DSP technology., • Expert troubleshooting skills., • Ability to learn new technologies., • Ability to handle multiple assignments, work independently, and see projects through to successful completion., • Detail-oriented, well-organized, and good time management skills., • 50% travel annually - including some weekends - is required. Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas. WHO WE ARE Shure's mission is to be the most trusted audio brand worldwide - and for over a century, our Core Values have aligned us to be just that. Founded in 1925, we are a leading global manufacturer of audio equipment known for quality, reliability, and durability. We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And quality doesn't stop at our products. Our talented teams strive for perfection and innovate every chance they get. We offer an Associate-first culture, flexible work arrangements, and opportunity for all. Shure is headquartered in United States. We have more than 35 regional sales offices, engineering hubs, distribution centers and manufacturing facilities throughout the Americas, EMEA, and Asia. Join Shure and Amplify Your Impact. Explore our unique culture and learn the key pillars that define our legacy of excellence. THE MIX MATTERS Don't check off every box in the job requirements? No problem! We recognize that every professional journey is unique and are committed to providing an equitable candidate experience for all prospective Shure Associates. If you're excited about this role, believe you've got the skills to be successful, and share our passion for creating an inclusive, diverse, equitable, and accessible work environment, then apply! PAY TRANSPARENCY Shure offers a competitive compensation structure that is reviewed annually to attract, hire, and retain the industry's top talent. Base salaries vary based on qualifications, geography, experience, and expertise in each respective discipline. The range displayed on each job posting reflects the minimum and maximum base salary for the opportunity. The base salary for this position ranges from $93,800 to $159,500 with a midpoint target. This position may also be eligible for our incentive pay program, which varies based on individual and Company performance in the year. If your salary expectations do not align, still apply as we are often flexible on the seniority of posted positions. All positions also include an award-winning benefits package. WE GOT YOU - Our Benefits At Shure, we prioritize the well-being of our Associates. We offer competitive rewards packages to full-time and part-time Associates working 24 or more hours a week that address physical, mental, financial, and overall well-being. Our benefits include comprehensive healthcare, mental health and retirement savings plans, generous paid time off programs, employee discounts, professional development opportunities, work-life balance initiatives, employee recognition programs, and volunteering/community involvement opportunities. To learn more, check out our Benefits At A Glance. #LI-REMOTE IND123

This Jobot Job is hosted by: Danielle Liguori Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $175,000 - $200,000 per year A bit about us: An IT company seeks Backend Developer! Why join us? Innovative, transparent leadership team Competitive comp plus equity and full benefits Strong growth runway in a high-growth sector Health, dental, and vision options Inclusive, supportive office culture Job Details We’re hiring a high-impact Backend Engineer to help scale a fast-growing platform in NYC. This is a hands-on role for someone who thrives in distributed systems, cares about clean architecture, and wants real ownership from day one. If you like building scalable systems, solving complex problems, and shipping production-grade code that actually moves the business, keep reading. Responsibilities Architect, build, and scale high-performance backend systems Drive design reviews and influence technical direction Identify and eliminate bottlenecks across distributed environments Partner cross-functionally with Product, CS, and Ops to ship high-impact features Introduce modern tools, frameworks, and best practices Qualifications: 5+ years building distributed, production-scale systems Deep CS fundamentals and strong system design instincts Expert-level Python Strong AWS experience Solid experience with relational databases, especially PostgreSQL Java experience is a plus Why You? You think in systems and anticipate scale You don’t just flag problems, you propose solutions You own projects end-to-end, from architecture to deployment You care about documentation as much as clean, maintainable code You actively manage technical debt instead of ignoring it Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

\n \n\n\n Software Engineer Backend - Kohler Ventures \n \n Work Mode: Hybrid \n \n Location: Palo Alto, CA or NYC -\nHybrid 3 days/week onsite Opportunity Kohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations. Our mission is to build new digital businesses that empower consumers to lead healthier lives. We explore how familiar experiences can be enhanced and innovations developed through the integration of leading-edge technology, science, and design. Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships. Our locations are Palo Alto, CA US, New York City, NY US, Kohler, WI US, Seoul, Korea, and Tel Aviv, Israel. In your role as Software Engineer at Kohler Ventures you will: • Work directly with the Head of Software, software engineering team, and product teams, • Design could backend architecture that can scale with the business growth of Kohler Ventures, • Build the forward-looking vision and lead the effort to understand and drive requirements with hardware/software teams., • Coordinate with product development teams to execute rollout/adoption of common libraries, services, and patterns Required Qualifications • Bachelor's degree in CS/engineering or related technical discipline from a reputed academic institution. Master’s preferred., • 3+ years of professional software development experience, • 1+ years of work experience within a backend-focused software engineering team, leveraging cloud Platform to deploy highly reliable and scalable cloud applications., • 3+ years of development experience using NodeJS, TypeScript, • PostgreSQL database, • Distributed, scalable backend systems, • Broad interest spanning from early prototyping to shipping finished features, • Minimal\ntravel both domestic and international as needed., • AWS experience preferred., • Strong technical experience in some of the following areas:, • Selection and integration of services in the AWS stack, • Kubernetes, ArgoCD (K8S controller), • DevOps processes, • AWS CDK, • Github Actions, • Data streaming architectures and methodologies such as Kafka, Solace, • Champion for quality in code, processes, and culture, • Positive, can-do attitude with a high degree of ownership and self-motivation to drive change, • Entrepreneurial experience in a high growth technology focused company or startup, • Exemplary collaboration skills across teams, geographies, and functions #LI-NR1 #LI-Hybrid \n \n We will consider applicants requiring sponsorship for this opportunity. The base salary range for this position is $115,100 - $143,850. The actual base salary offered to a candidate may be higher than the approved range. This will vary depending on a variety of factors including the candidate’s experience, their education, and the work location. This position is subject to Area Salary Differential (Cost of Living Adjustment) that ranges from 16% of base salary for the NYC metro area. The base salary range including ASD for this position is $133,516- $166,866 depending on location. In addition, this position is eligible for a performance bonus and a special project incentive. Available benefits include medical, dental, vision and 401k. \n \n Why Choose Kohler? \nWe empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we’re driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives. \n \nAbout Us It is Kohler’s policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact . Kohler Co. is an equal opportunity/affirmative action employer. \n \n \n\n\n

\n \n\n\n Sr. Embedded Firmware Engineer - Kohler Ventures \n \n Work Mode: Hybrid \n \n Location: Hybrid - 3 days/week onsite in New York City, NY or Palo Alto, CA Opportunity Kohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations. Our mission is to build new digital businesses that empower consumers to lead healthier lives. We explore how familiar experiences can be enhanced and innovations developed through the integration of leading-edge technology, science, and design. Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships. Our locations are Palo Alto, CA US, New York City, NY US, Kohler, WI US, Seoul, Korea, and Tel Aviv, Israel. As Sr. Embedded Firmware Engineer at Kohler Ventures you will • Work directly with the Head of Software, software engineering team, and product teams, • Design firmware architecture that can scale with the business growth of Kohler Ventures, • Build the forward-looking vision and lead the effort to understand and drive requirements with hardware/software teams, • Coordinate with product development teams to execute rollout/adoption of common libraries, services, and patterns Required Qualifications: • 7+ years of professional software development experience, • 5+ years of experience in software design and development for embedded systems, • Availability to work outside of standard business hours if needed to be able to collaborate with teams across multiple time zones, • Bachelor's degree in a CS/engineering or related technical discipline from a reputed academic institution. Master’s preferred, • Hands-on experience developing firmware for medical devices and other related devices, • Strong technical experience in some of the following areas:, • Proficient with OTA updates with Mender, • Prior experience working with Yocto, • Experience in working with common protocols such as RS-485, RS-232, SPI, USB, BLE and WiFi, • Expert knowledge of embedded Linux configuration, development, board support packages, bootloaders, kernel, drivers, and application development in C/C++, • High-level understanding of cloud and mobile app technologies and associated communication protocols, • Champion for quality in code, processes, and culture, • Strong ability to communicate complex technical and management information clearly and concisely, • Positive, can-do attitude with a high degree of ownership and self-motivation to drive change, • Entrepreneurial experience in a high growth technology focused company or startup, • Exemplary collaboration skills across teams, geographies, and functions #LI-NR1 #LI-Hybrid \n \n We will consider applicants requiring sponsorship for this opportunity. The approved base salary range for this position is 103,950 - $138,650. The actual base salary offered to a candidate may be higher than the approved range. This will vary depending on a variety of factors including the candidate’s experience, their education, and the work location. This position is subject to Area Salary Differential (Cost of Living Adjustment) that ranges from 16% of base salary for the NYC metro area. The approved base salary range including ASD for this position is $120,582 - $170,834 depending on location. In addition, this position is eligible for a performance bonus and a special project incentive. Available benefits include medical, dental, vision and 401k. \n \n Why Choose Kohler? \nWe empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we’re driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives. \n \nAbout Us It is Kohler’s policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact . Kohler Co. is an equal opportunity/affirmative action employer. \n \n \n\n\n

Job Title: Full Stack Engineer Duration: 6 months (Contract to Hire) Location: Newark, NJ (Hybrid 3 days/week) Summary We are seeking talented and motivated Full Stack Engineers at various levels to join our growing technology team. The ideal candidate will be proficient in both front-end and back-end development, with strong problem-solving skills and a passion for building high-quality, scalable software solutions. Key Responsibilities • Design, develop, test, and deploy full-stack applications, • Build efficient and reusable front-end and back-end systems., • Collaborate with product managers, designers, and other engineers to define and deliver new features., • Develop APIs and microservices using modern frameworks and tools., • Ensure application performance, security, and scalability., • Maintain clear documentation and follow best practices in coding and design., • Programming Languages: Java, JavaScript, Python, • Frameworks & Tools: React, Angular, Node.js, Spring Boot, Spring Batch, • Databases: DynamoDB, DB2, Oracle, PostgreSQL, • Other Skills: RESTful API development, version control (Git), CI/CD,, • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)., • Proven experience in full-stack development (front-end and back-end)., • Strong understanding of software development life cycle (SDLC) and Agile methodologies., • Excellent communication and teamwork skills. Ability to adapt to new technologies and learn quickly.

Engineer smarter solutions. Strengthen every project. In this role, you'll provide technical support and drive sales by partnering with designers and specifiers to solve complex challenges using Hilti solutions. You'll secure commitments for specification or approval of Hilti engineered products, consult on innovative designs, and help customers build smarter, stronger, and more sustainably-while protecting projects with sound engineering judgment. This is where collaboration meets impact, and your expertise shapes the future of construction. What You'll do • Face to face, telephone, and electronic communication with territory salesperson, strategic business personnel, sales managers, contractors, designers, specifiers, or officials of codes and approvals, • Competent written communication with customers (buying and non-buying); such communication must be technically accurate, minimize Hilti's exposure, and demonstrate common sense problem solving capabilities, • Visit jobsites and company offices with or without salespeople or strategic business personnel to assess application problems, opportunities, and provide technical education and solutions, • Investigate product failures in the field and provide product management feedback on local issues as needed, • Investigate business opportunities in the field by participating in Customer Surveys as needed for product and market development, • Participate in local sales strategy development and at sales management review and improve sessions, • Obtain specifications and approvals for use of Hilti products, concentrating on high potential designers, specifiers, and owner groups, • Provide professional educational seminars and presentations for A/E firms to inform them of Hilti products, their performance characteristics, applications, and product limitations, • Provide competent recommendations to engineers, architects, and other designers on specific applications using sound engineering judgment; educate specifier on technical advantages of Hilti solutions not covered by test data, • Provide field testing to determine appropriate capabilities in situations not covered by test data, • Review project specifications or calculations for engineers and architects; provide feedback to designers regarding accuracy, suitability, and code compliance, • Utilizing software provided by Hilti, maintain accurate records of contacts and specifications; coordinate with salesforce to ensure that key opportunities are capitalized on, • Create and coordinate jobsite management within CRM system utilizing Hi Site; includes creation of specific jobsites, applications, and active participation in the monthly sales management meetings, • Communicate application specifications with design community to sales team utilizing CRM system, assigning tasks and action items to applicable Account Managers for conversion of specification to sale, • Maintain and update regional fact-base and contacts of designers, influencers, and code officials Work with local/regional code and approval agencies to obtain necessary approvals, • Understand construction methods and local building codes, as they relate to Hilti products, • Provide input on technical approvals and reports related to Hilti's products, • Active in local organizations of the design and construction community, i.e. CSI, ASCE, Structural Engineer's AssociationWhat You'll Bring, • Bachelor's degree in Structural or Civil Engineering required; Master's degree (technical or business) preferred, • Knowledge of construction methods and practices preferred, • 2 years minimum experience in engineering/construction role preferredWhat's In It for You In addition to a competitive base salary and exciting bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. The salary range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skills sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate is for this particular job posting. Please be advised that a different location may result in a different range. At Hilti, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $91,000-$107,000 with bonus at target of $16,200. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti, Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Join Our Innovative Team as an Electrical Engineer - Shape the Future of Energy Solutions! Are you passionate about pushing the boundaries of energy technology? We're looking for a talented Electrical Engineer to be a key player in our building improvement projects. In this role, you'll design cutting-edge electrical infrastructure to help clients achieve their energy goals with smart, sustainable solutions. At Willdan, you'll join a collaborative and diverse team of mechanical and electrical engineers, solar design experts, project managers, and more. Together, we work to create resilient, efficient, and cost-effective electrical distribution systems that meet the highest standards of excellence. As an Electrical Engineer at Willdan, your contributions will directly impact the future of energy systems. You'll have the opportunity to: • Lead Innovation: Create and design creative electrical systems that transform how energyis used., • Collaborate Across Teams: Work alongside experts in multiple fields to deliver groundbreaking solutions., • Drive Change: Take ownership of projects and make a real impact on the success of our clients' energyobjectives. The Senior Electrical Engineer is responsible for designing the Electrical Infrastructure for our building energy conservation projects. The ideal candidate will have an advanced understanding of power distribution and Distributed Energy Systems (DERs) as it applies to high performance buildings across various vertical markets including commercial, local & state governments, light industrial, educational and health care facilities. Essential Duties and Responsibilities • Experience with electric building design. Design electrical systems upgrades and improvements to improve energy efficiency. Point to Point understanding of power distribution and interconnection to the Utility Grid to the Service Entrance down to the end use receptacle. Advanced knowledge of energy conservation guidelines using IECC, Title24 and projects with LEED Certification., • Fundamentals of Power Distribution. Advanced Understanding of electrical theory covering 3-phase and 1-phase power, power triangle & power factor, Grounding, Principles of Magnetism applied to Transformers and Motors., • Perform Complex Engineering Calculations & Analysis (see qualifications below). In-depth understanding of software apps and resources used in Electrical Engineering (SKM, ETAP, CYME, Excel Tools, etc.)., • Stand By Power and Alternative Energy Sources. Size combustion generators as it applies to high-performance buildings and electrical distribution systems, automatic transfer switches. Emphasis on integrating DER components including PV, BESS and EV charging. Exposure to microgrid design and/or integrating BESS and microgrid controls into solar PV and EV infrastructure projects is a bonus., • Strong Understanding of utility interconnection requirements. Design the electrical infrastructure and protective relays required by the utility for on-site generation. Support the DER team and their efforts as they work with utility providers to submit the required documentation and complete the utility interconnection process., • Excellent Time Management Skills. Ability to work on multiple projects of varying complexities. Ability to work on concurrent projects across multiple geographical regions. Work under limited supervision., • Prioritize Workflow. Able to prioritize project workflow to meet deadlines with minimal supervision, completing projects on time. Paying special attention to quality, accuracy and effort against budget., • Succeed as a Team. Enjoy working within design teams and meeting the project goals in a team-focused environment. Collaborate with other disciplines. Work with local agencies having jurisdiction to ensure compliance with federal, state and municipal requirements and building codes. Support company standards, work with project managers to exceed client expectations., • Forward Thinking. Leverage your creativity and explore new technologies and products., • Supports design team efforts to identify, recommend, and implement new technologies and systems to improve organizational processes and decision-making. Develop innovative solutions that reduce costs with no impact on quality, or long term reliability., • Ability to research new concepts, technologies and apply integrate into our projects., • Start to Finish. You will develop concepts from the ground up. Use information from site visit to develop concept. Produce construction drawings (CDs) using CAD software. Complete CDs and apply for permit. Work with construction teams and contractors to see our designs installed in the field. Review and approval of equipment submittals., • Articulate. The candidate must possess excellent verbal and written communication skills, as well as interpersonal skills. Comfortable presenting to clients, team members and internal leadership., • Occasional Travel Required (~15%). Site visits to document the existing infrastructure. Provide engineering evaluations, electrical systems audits, and construction support as needed., • Bachelor's degree or higher. Electrical engineering, architectural engineering, or building science from a fully accredited ABET program., • PE License is Required., • 8+ years of electrical design experience with commercial, education, government or light industrial projects typically at an MEP consulting firm., • Advanced Understanding of low voltage systems 600V and lower, both AC and DC distributions. Includes 480/277V, 208/120V and 240/120V systems, single phase or three phase. Medium Voltage experience is a plus., • Perform Engineering Calculations. Includes: fault current studies, Arc Flash Analysis, Selective Coordination Studies, Service Entrance Calculations, Transformer Sizing, Overcurrent Protection of Motors & Transformers, Conduit Fill and Conductor Sizing with applicable derating factors., • Knowledge of applicable building codes and regulations including IEEE, NFPA, NEC (NFPA70), California Electric Code (CEC) & Title 24, UL Listings, Life Safety, IBC, and OSHA., • Technical Understanding of Grounding and Bonding., • Expansive product knowledge of manufacturers (Eaton, Schneider, ABB, Siemens, etc.)., • Ability to size and specify distribution equipment: diesel generators, electrical switchgear & switchboards, panelboards, disconnect switches, etc., • Assemble and compile Division26 specifications., • Take Ownership of Projects. Ability to take a project from the initial site visit into preliminary design through Construction Drawing completion. Stay actively involved with the project during the permit process and into Construction., • Proficient in AutoCAD, Revit is a plus., • Skilled in Microsoft Office, Excel, and Teams; working knowledge of Bluebeam Revu. Willdan Energy Solutions participates in E-Verify.