Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features, while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, and clinical teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems, and want to influence architecture and engineering practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operational readiness. Quality & Compliance Focus Embed automated testing, monitoring, and release safeguards into the development lifecycle. Proactively address compliance and audit-readiness requirements in application
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The role Scale builds enterprise AI systems deployed into production. As a Staff Solutions Architect, you lead technical execution on the most complex and highest-value enterprise opportunities in your vertical, and you set the technical standard the rest of the team works to. You own an assigned set of strategic accounts and remain the senior technical relationship owner across them. You are also accountable for leverage beyond your own deals: the reference architectures, evaluation methodologies, and technical processes you build are adopted by other Solutions Architects, and the patterns you surface shape Scale's product direction. You work alongside the Account Executive (commercial owner), the Project Manager (delivery owner), and the Tech Lead (engineering lead for implementation). This is an individual contributor role with mentorship responsibility, not a people-management role. What you will own Most complex opportunities. Lead technical strategy and execution on the largest and most complex deals in your vertical, measured by revenue, product scope, or data volume. Act as the final technical authority on whether Scale can deliver what is being proposed. Technical discovery and qualification at scale. Own qualification on ambiguous, multi-stakeholder opportunities where requirements are unresolved. Make and defend go/no-go and disqualification recommendations on deals with significant revenue attached. Evaluation methodology for the vertical. Define how Scale measures quality for the use-case classes in your vertical, including evaluation datasets, baselines, quality dimensions, and acceptance criteria that hold up under customer and regulatory scrutiny. Establish approaches other Solutions Architects reuse rather than rebuild. Executive technical relationships. Own long-term technical relationships with C-level and senior technical stakeholders across multiple accounts, including CTOs, Heads of AI, and engineering leadership. Convert those relations
Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, design , clinical and payment teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems including data solutions, and want to influence architectural decisions for security and scale, drive cross-collaborations for alignment, establish technical standards for consistency and evolve both application and data engineering best practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion platform engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operati
About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Role Overview & Key Responsibilities This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels. Responsibilities Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products. Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning. Define and own the mult
Build strategies. Shape change. Lead enterprise data transformation. The Role We are seeking a visionary Data Strategy & Advisory Leader at Managing Principal level to shape the future of data in financial services. You will lead the design, delivery, and scaling of enterprise-wide data strategies for tier-one banks, insurers, and investment firms — helping them unlock the value of their data and meet the demands of an ever-evolving regulatory and digital landscape. This is not just about advising — it’s about owning the transformation agenda : defining innovative propositions, leading complex consulting engagements, inspiring cross-disciplinary teams, and driving commercial growth. You’ll be at the forefront of modern data strategy, governance, analytics, and AI adoption, while mentoring the next generation of data leaders. What You’ll Do Design and operationalise enterprise data strategies that enable business transformation across banking, insurance, and investment sectors. Lead high-impact consulting engagements in data governance, literacy, quality, regulatory response, and analytics-driven decision-making. Shape new market propositions in data consulting, including the adoption of AI, advanced analytics, and cloud-based data platforms. Drive process modernisation — from business analysis to technical design, solution implementation, and long-term optimisation. Build trusted senior stakeholder relationships , influencing strategic decisions and securing follow-on mandates. Scale data capabilities across internal teams and client organisations, ensuring consistent, high-quality outcomes. Contribute to thought leadership , industry events, and internal innovation initiatives. What We’re Looking For 8+ years of senior-level consulting experience in financial services, with a strong data strategy and advisory focus. Proven expertise across the full data lifecycle , supported by frameworks such as DAMA DMBOK, DCAM, or CDMC. Deep understandin
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the role Reporting to the Senior Director of Finance, the DaaS Finance Manager is a critical member of the Finance org and a dedicated finance partner to the DaaS business as we scale. You will drive the financial insights that lead to better decisions: what we charge, what it costs to deliver, how much we need to deliver, and how it all rolls into revenue and ARR. The job is not just reporting numbers, but telling leadership what they mean and what to do about them. You will partner closely with the operating teams (Sales, Delivery Ops and RevOps) and bring finance rigor to how we work: clear assumptions, consistent definitions, and models people trust. Success is measured by outcomes, not outputs: deals priced to target margin, staffing plans that match demand, and a forecast leadership has confidence in. Key responsibilities The work falls into three pillars, with the mix shifting through the quarter. 1. Revenue model and forecast (with RevOps) Maintain the DaaS revenue model: bookings, acceptance-based revenue and ARR by deal, with scenario cases for planning. Partner with RevOps on the weekly revenue and ARR forecast, and run the weekly forecast deck and summary for leadership. Reconcile the field's call (commit, forecast, best case) with a deal-by-deal finance view; quantify coverage, swing deals and risks. Track delivery pacing and acceptance against plan and identify execution risks. Build bridges and variance analysis (forecast vs actual,
FEQ128R5 Solutions Architect Greenfield Enterprise France The role is based in Paris or within commuting distance of the office. The Role As a Solutions Architect, you will lead the technical strategy for your Greenfield (New Logo) customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Manager of Business Analytics leads the department by providing strategic leadership and oversight for data-driven decision-making and program effectiveness. In addition, the Senior Manager develops and implements comprehensive data collection and analysis strategies. They will lead the measurement and evaluation of programs, oversees the creation of impactful reports and visualizations, provides strategic recommendations based on data insights, fosters collaboration with stakeholders, ensuring data governance and compliance, and driving continuous learning and skill development within the team. The Senior manager of Business Analytics manages and optimizes analytics processes, leveraging data for strategic planning, and guiding teams in delivering actionable insights to drive business outcomes. What you will do: Leads a team of analysts to develop data-driven insights to provide accurate reports to executive-level management,stakeholders, and team members to ensure continuous growth and development of the business. Collaborates with cross-functional teams to identify opportunities for improvement initiatives driven towards the organization'sgoals and critical deliverables. Creates and maintains dashboards and reports that provide insights into key performance indicators that support the organization's continuous impr
Healthcare is complex. We’re here to change that. RVO Health is a health technology company on a mission to make health easier to navigate, more accessible, and more affordable for everyone. Here, you'll help over 40 million people every month, with a team that genuinely cares about the work and each other. At a Glance We’re looking for an Associate Director, Data Analytics to lead the analytics team behind Wellos, our health and wellness app built by dietitians and behavior change experts. Members get nutrition lessons, tracking tools, and 1-on-1 coaching to help them build habits that last. In this role, you’ll lead a team of data analysts and turn what the data shows into clear recommendations for senior leaders, helping shape how Wellos grows and improves. Where You'll Be Location: Minneapolis, MN | Hybrid We believe great collaboration happens when we're together, solving problems, learning from each other, and connecting as a team. That's why we’re in our offices Tuesday through Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. Office address: 11000 Optum Cir Eden Prairie, MN 55344 What You’ll Do Lead, manage, and mentor a team of data analysts, fostering professional growth, collaboration, and high-quality analytical output. Develop and implement comprehensive data analytics strategies that support and advance key business goals. Collaborate with cross-functional teams to define data requirements and deliver actionable insights. Oversee the end-to-end processes of data collection, analysis, and interpretation to ensure accuracy, relevance, and timeliness. Develop, maintain, and optimize advanced data models, dashboards, and visualizations to provide clear and insightful reporting. Present findings, insights, and strategic recommendations to senior management and stakeholders with clarity and influence. Drive continuous improvement initiatives to enhance data analytics methodologies, tools, and
Healthcare is complex. We’re here to change that. RVO Health is a health technology company on a mission to make health easier to navigate, more accessible, and more affordable for everyone. Here, you'll help over 40 million people every month, with a team that genuinely cares about the work and each other. At a Glance We’re looking for an Associate Director, Data Analytics to lead the analytics team behind Wellos, our health and wellness app built by dietitians and behavior change experts. Members get nutrition lessons, tracking tools, and 1-on-1 coaching to help them build habits that last. In this role, you’ll lead a team of data analysts and turn what the data shows into clear recommendations for senior leaders, helping shape how Wellos grows and improves. Where You'll Be Location: Denver, CO | Hybrid We believe great collaboration happens when we're together, solving problems, learning from each other, and connecting as a team. That's why we’re in our offices Tuesday through Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. Office address: 1801 California St. Denver, CO 80202 What You’ll Do Lead, manage, and mentor a team of data analysts, fostering professional growth, collaboration, and high-quality analytical output. Develop and implement comprehensive data analytics strategies that support and advance key business goals. Collaborate with cross-functional teams to define data requirements and deliver actionable insights. Oversee the end-to-end processes of data collection, analysis, and interpretation to ensure accuracy, relevance, and timeliness. Develop, maintain, and optimize advanced data models, dashboards, and visualizations to provide clear and insightful reporting. Present findings, insights, and strategic recommendations to senior management and stakeholders with clarity and influence. Drive continuous improvement initiatives to enhance data analytics methodologies, tools, and process
Healthcare is complex. We’re here to change that. RVO Health is a health technology company on a mission to make health easier to navigate, more accessible, and more affordable for everyone. Here, you'll help over 40 million people every month, with a team that genuinely cares about the work and each other. At a Glance We’re looking for an Associate Director, Data Analytics to lead the analytics team behind Wellos, our health and wellness app built by dietitians and behavior change experts. Members get nutrition lessons, tracking tools, and 1-on-1 coaching to help them build habits that last. In this role, you’ll lead a team of data analysts and turn what the data shows into clear recommendations for senior leaders, helping shape how Wellos grows and improves. Where You'll Be Location: Charlotte Metro Area (Fort Mill, SC) | Hybrid We believe great collaboration happens when we're together, solving problems, learning from each other, and connecting as a team. That's why we’re in our offices Tuesday through Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. Office address: 1101 Red Ventures Dr Fort Mill, SC 29707 What You’ll Do Lead, manage, and mentor a team of data analysts, fostering professional growth, collaboration, and high-quality analytical output. Develop and implement comprehensive data analytics strategies that support and advance key business goals. Collaborate with cross-functional teams to define data requirements and deliver actionable insights. Oversee the end-to-end processes of data collection, analysis, and interpretation to ensure accuracy, relevance, and timeliness. Develop, maintain, and optimize advanced data models, dashboards, and visualizations to provide clear and insightful reporting. Present findings, insights, and strategic recommendations to senior management and stakeholders with clarity and influence. Drive continuous improvement initiatives to enhance data analyti
Technical Program Manager (AI, Cloud & Portfolio Delivery) Experience: 10-18 Years Role Overview We are seeking an experienced Technical Program Manager with a strong engineering background who has progressed from Software Engineer, Technical Lead, or Solution Architect into Program Management. The role will lead enterprise transformation, AI/GenAI, cloud modernization, strategic pre-sales initiatives, and portfolio delivery across multiple programs. Key Responsibilities Lead end-to-end delivery of large-scale technology and transformation programs. Drive AI/GenAI, cloud migration, application modernization, and digital transformation initiatives. Own program governance, budgeting, resource planning, risk management, and executive reporting. Manage a portfolio of programs, ensuring alignment to business objectives and strategic priorities. Partner with Product, Engineering, Architecture, and Business leaders to define technology roadmaps. Support pre-sales, solutioning, estimation, RFP/RFI responses, client presentations, and proposal development . Engage with senior stakeholders and clients as a trusted advisor, translating business needs into technology solutions. Ensure delivery excellence through Agile, DevOps, CI/CD, and engineering best practices. Required Skills Prior hands-on experience in Java, Python, .NET, or other enterprise technologies . Strong experience with AWS, Azure, or GCP . Knowledge of AI/GenAI, LLMs, Machine Learning concepts , and modern data platforms. Microservices, APIs, Kafka, Event-Driven Architecture, and Distributed Systems. Agile, Scrum, DevOps, CI/CD, and Program Governance. Strong client-facing, stakeholder management, and executive communication skills. Preferred Experience managing technology portfolios worth multi-million-dollar budgets . Strong background in pre-sales, solution consulting, and strategic account management . Certifications such as PMP, SAFe, AWS, Azure, or Cloud certifications.
Location: Seattle, WA or San Francisco Bay Area, CA REQ ID - FEQ427R648 Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Senior SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in various verticals. Outcomes You work with multiple clients as the main technical voice for Databricks. You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You implement the technical strategy in the account, in close understanding of the strategy. You build a movement of technical champions within the account. You align technical strategies around Databricks solutions. You provide structured mentorship for other team members. Gain the respect of your peers based on your experience, insight, and contributions. Competencies: Proficiency at establishing virtual teams, and leading them to ultimate success within the account. Experience working very large (> $1m ARR), global accounts. Form relationships with executives and influencers. Present a convincing point-of-view to important decision-makers that leads them down a path of success. Technical in big data, data science and cloud. An ability in data-driven business transformation, and driving change with data. Production programming experience in Python, R, S
Power and Performance Validation Engineer About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug compl
FEQ427R597 As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse
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