Forward Deployed Analytics Engineer Jobs

About the role As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. Scope out potential applications in new industries and expand our AI solutions across different sectors globally. Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. Build and deliver compelling demos of ElevenAgent

CSQ227R171 The Lead Engagement Manager delivers measurable impact for our Healthcare & Life Sciences customers as well as at the Business Unit (BU) or Regional team level in the Forward Deployed Engineering organization. You will own and independently scope multi-quarter, highly complex initiatives to solve problems with no clear precedent, operating with high autonomy in high-stakes environments. The impact you will have: Regional Impact: Drive excellence at the BU/Region level, contributing to team-level booking targets and consumption goals. Complex Problem Solving: Navigate complex regional, regulatory, or market-specific complexities across multiple countries. Mentorship: Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex projects. Sales Strategy: Shape account strategy to align with client goals and lead the sales of complex services and training offerings. Strategic Relationships: Establish and maintain strategic relationships with senior customer stakeholders across multiple engagements. What we look for: 10+ years of leadership experience in Professional Services. Expert-level understanding of Professional Services & Training offerings and the ability to customize solutions for complex environments. Proficient thought leadership, increasingly viewed as an external expert in the industry. Participate in the hiring process to attract top-tier talent. Expertise in Databricks architecture, ecosystem, and strategic account planning. Ability to travel up to 25-50% as required. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience,

About the Team OpenAI’s Physical Engineering work explores how frontier AI can help people design, simulate, and build better physical products. We work directly with customers to identify high-value engineering applications that shorten development cycles, improve product performance, and create measurable business value. About the Role We are hiring a Physical Engineering Business Lead to bring firsthand product engineering experience into our customer work. You’ll combine deep familiarity with CAD, simulation, or related engineering tools with the ability to lead customer discovery, explain complex ideas clearly, and turn promising use cases into high-impact projects. This is a hands-on, customer-facing role. You’ll work closely with customer engineering teams, senior leaders, forward-deployed engineers (FDEs), and account teams from early discovery through delivery. You’ll help frame valuable design and simulation problems, guide projects with practical engineering judgment, and support adoption and measurable outcomes. You’ll also turn what we learn from customers into product feedback, reusable delivery methods, and recommendations for our go-to-market and partnership strategies. As the work grows, this role may evolve into broader practice leadership. Key Responsibilities Lead discovery and workshops with customer engineering teams and senior leaders to identify high-value design and simulation use cases Develop promising use cases into significant projects with FDE and account teams, forming clear hypotheses about value, feasibility, engineering constraints, and adoption Work alongside FDEs and customer teams through delivery, bringing practical engineering context, surfacing risks early, and helping projects achieve measurable outcomes Explain how AI can improve physical-product engineering, grounded in real experience with CAD, simulation, engineering workflows, and design tradeoffs Build customer confidence through clear technical storytelling, compelling

Work directly with clients to turn business problems into production-ready AI solutions. The Role As an AI Engineer , you’ll work directly with our clients to understand business problems and turn them into working AI solutions. Combining hands-on engineering with a consulting mindset, you’ll take ideas from initial requirements through prototyping, demonstration, iteration, and deployment. This is a client-facing, forward-deployed engineering role. You’ll work closely with business stakeholders to understand what they are trying to achieve, help shape the right solution, and then build it. You’ll need to be as comfortable discussing requirements and demonstrating a solution with business teams as you are writing Python and developing AI agents. You won’t be tied to a single technology or environment. You’ll work across different client architectures and platforms, adapting to environments such as Snowflake and Databricks and selecting the right approach for each use case. Success in your first few months will mean building strong relationships with business stakeholders and successfully delivering an AI use case from business problem through to a working solution. What You’ll Do Work directly with business stakeholders to understand their problems, uncover requirements, and translate them into practical AI solutions. Design, build, test, demonstrate, and deploy AI agents and agentic solutions that solve real business problems. Take ownership of hands-on engineering across the solution lifecycle, from rapid prototypes through iteration and deployment. Work across different client technology environments and platforms, adapting your approach to the architecture, data, and tools available. Demonstrate solutions to business stakeholders, gather feedback, and collaborate across product, data, technology, and business teams to continuously improve what you build. What We’re Looking For 2+ years of relevant software, data, or AI engineering experience, with hands-o

Opportunity Overview: We're seeking a Senior Director, Solution Owner to join Cohere Health's PaaS Delivery organization. In this role, you will personally own the end-to-end success — business, clinical, and technical — of our most complex and highest-stakes customer implementations. You'll partner closely with Solution Architects, Forward Deployed Engineers, Platform Configuration, QA, and Technical Program Managers to set the standard for what great solution ownership looks like at Cohere, operating as a credible, executive-level counterpart to our clients' leadership. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Own end-to-end success — business, clinical, and technical — for Cohere's largest and most complex customer implementations Apply strategic program leadership to multi-year, multi-workstream, enterprise-scale platform deployments Drive a team of SMEs toward on-time deployments through meticulous organization, program management, and timeline tracking Serve as the escalation point and executive-level counterpart to client leadership on flagship accounts Set the standard for what excellent solution ownership looks like at Cohere, through the quality of your own account work Make the call on the highest-stakes scope, timeline, and resourcing trade-offs, with direct visibility into business risk What you’ll need: 10+ years leading large-scale, complex technology or platform deployments, with significant healthcare experience Direct experience delivering large-scope products at healthcare companies — claims systems, utilization management/prior authorization platforms, or similarly complex, mission-critical systems Demonstrated strategic program leadership — has personally owned outcomes on the scale of a multi-year, multi-million dollar enterprise implementation Executive presence — credible and effective operating as a peer with clie

Opportunity Overview: We're seeking a Director, Solutions Architecture to lead our team of Solution Architects within Cohere Health's PaaS Delivery organization. In this player-coach role, you'll set the technical and business standard for how Cohere designs solutions for complex healthcare clients running large, mission-critical platforms like claims systems and utilization management infrastructure. You'll partner closely with Solution Owners, Forward Deployed Engineers, Technical Program Managers, Platform Configuration, and QA to keep solution design in sync with delivery. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Manage a team of 8 Solution Architects — hiring, coaching, performance management, and career development Set the standard for solution design quality across the team: how SAs guide clients to existing functionality, document the BRD/FRD, and design future-state workflows Foster a culture of engaging with customers where they are — saying yes where we can, and pushing back constructively when we can't Own escalations when a solution design is contested, technically infeasible, or in tension with a commercial commitment Balance workload and account assignments across the team as new implementations continue to ramp up Partner with Solution Owners, FDEs, Platform Configuration, QA, and TPMs across the Delivery org to keep solution design in sync with delivery timelines Represent Solution Architecture in cross-functional planning and with client executive stakeholders on complex or escalated accounts Build repeatable training materials, templates, and playbooks so solution quality doesn't depend on any one architect What you’ll need: 12+ years in solution architecture, technical consulting, or similar client-facing technical roles, including significant healthcare experience 3+ years directly managing a technical team — solution

Role Description: Defense Unicorns is seeking a Software Engineer to own the assessment, hardening, testing, and modernization of a Government-provided software-defined networking (SDN) baseline capability. You will join the Defense Unicorns Navy Forward Deployed Engineering (FDE) team and be responsible for understanding an unfamiliar codebase, improving its security and maintainability, and delivering a reliable software baseline that can be sustained as mission requirements evolve. This is a software-engineering role with a systems and networking focus. You will work directly with source code, build systems, dependencies, runtime behavior, test suites, and open-source integrations. You will diagnose complex issues across application and network boundaries, remediate vulnerabilities, and leverage AI tools to maintain and develop applications within DevSecOps pipelines. Additionally, you will establish disciplined engineering practices around code quality, release readiness, and long-term sustainment. Working with Defense Unicorns platform engineers and Government stakeholders, you will integrate the SDN application codebase to ensure the software can be built, tested, packaged, deployed, and operated successfully for Navy environments. Responsibilities: The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. Own the technical assessment of an SDN codebase, including architecture, build process, dependency evaluation and management, runtime components, test coverage, security posture, and upstream open source relationships. Design and implement secure, maintainable changes that remediate vulnerabilities, improve resilience, and preserve traceability between upstream software, Government-owned code, configurations, and local patches. Develop trustworthy unit,

CSQ427R440 The Databricks Customer Enablement team is on a mission to upskill data and AI professionals in customer organizations so they can use Databricks effectively and accelerate customer success. As a Customer Enablement Architect, you will design and lead customer enablement and talent-transformation programs across Australia and New Zealand. You will partner with Sales, Field Engineering, Forward Deployed Engineering, Training Delivery, and Operations to understand customer needs, recommend the right learning solutions, and ensure successful execution. You will balance strategic customer engagement with program and commercial execution across training bookings, revenue, learners, credentials, and adoption. You will bring enough technical depth to understand Databricks curriculum and certifications, make credible recommendations, and engage confidently with technical stakeholders—without being expected to deliver deep hands-on technical training. The impact you will have Work with regional Go-to-Market teams to create enablement strategies aligned to customer segment, business priorities, technical maturity, and talent-transformation goals. Translate customer outcomes into practical learning plans, capability roadmaps, and recommendations across free and paid training, instructor-led and self-paced learning, credentials, and partner delivery. Partner with global Delivery and Operations teams to coordinate scheduling, communications, program quality, and seamless execution of customer development plans. Manage and report weekly, monthly, and quarterly performance across training bookings, revenue, learners, credentials, and adoption; use insights to guide action from field teams. Serve as the voice of the customer for regional enablement, curriculum, and certification priorities, while engaging senior leaders and executives internally and externally. Identify capability gaps that may affect platform adoption and work with account teams on targeted

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment. As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers. You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region. This role is based in London. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in front of executive sponsors. You will also lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the

The Executive Director, Product Management – Supply Chain Resiliency reports to the VP, Product Management and owns the full product development lifecycle and go-to-market execution for GHX's Supply Resiliency Platform — the cross-application layer spanning two use-case tracks: Procure-to-Pay (hospital) and Order-to-Cash (manufacturer/supplier) workflows. This is a build-and-commercialize role: the Executive Director owns the platform requirements, product launch, and forward-deployed pilot through general availability, driving pilot customer selection and execution, product requirements and roadmap, commercial packaging and pricing, and cross-functional GTM alignment across Engineering, forward-deployed teams, Sales, Marketing, Implementation, Professional Services, Customer Care and Finance. Areas of focus include, but are not solely limited to: pilot program design and stage-gate governance; product definition, roadmap execution, and technical alignment; commercial packaging, pricing, and profitability; competitive positioning; cross-functional consensus building; and executive/steering-committee reporting. WHY THIS ROLE MATTERS Healthcare supply chain resiliency is now a contested category: well-funded, AI-native challengers are selling point solutions directly to hospitals. This role is chartered to win that fight — turning GHX's two-sided network of 600+ connected providers and their suppliers into a resiliency platform that out-executes single-sided competitors on speed, breadth, and proven customer outcomes. The Executive Director owns that competitive outcome end to end, from platform definition through GA and beyond. KEY RESPONSIBILITIES Working with a broad group of stakeholders and partners — across GHX product pods, Forward-Deployed Engineering, current and prospective pilot customers, and the executive leadership team — the Executive Director develops and leads GHX Product Management execution for the Supply Res

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As a Staff Forward Deployed Engineer, Applied AI on our Cortex AI team, you will be a hands-on technical leader and trusted partner to our most strategic customers. You will own the end-to-end delivery of enterprise AI programs, leading a team of 2–4 engineers while staying deeply technical yourself . You will set the technical direction for your customer engagements, mentor your team, and serve as the senior technical voice at the intersection of product, engineering, and customer success. Note: This is a customer facing role & require frequent travelling within USA mostly IN THIS ROLE AT SNOWFLAKE, YOU WILL: Lead Customer Programs : Own the full lifecycle of complex, multi-engineer AI engagements – from scoping and architecture through deployment, monitoring, and handoff. Be accountable for delivery quality and customer outcomes for the projects you lead. Own AI Quality : Define what "good" means for each engagement. Translate ambiguous customer goals into measurable quality metrics, evaluation frameworks, and golden datasets – then run systematic eval loops to hill-climb on agent quality, catch regressions before customers do, and continuously raise the bar on accuracy, faithfulness, and safety. Set the standard for how the team measures and improves AI systems in pr

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. Role Description: We are seeking a Senior Platform Engineer to join a team developing AI applications that help users understand and act on complex Naval engineering records. Using a Forward Deployed Engineering model, our team works closely with mission users to understand how they work, identify friction in their daily tasks, and deliver functional improvements based on rapid feedback. You will serve as the team’s primary platform engineering owner, responsible for the systems and processes that move our applications from source code into secure, production-ready environments. Your work will span release workflows, CI/CD pipelines, container images, Kubernetes configurations, cloud infrastructure, application deployments, and production troubleshooting. This is a hands-on senior individual contributor role. You will independently own significant platform work, make technical decisions across systems, anticipate risks and dependencies, and collaborate with application engineers and platform teams across the company. Responsibilities: In this position, you will: Own and improve end-to-end release workflows for the team’s AI applications, from building container images through creating production-ready release packages. Build and publish container images, address or document vulnerabilities, manage dependency updates, and maintain release artifacts. Develop and maintain CI/CD pipelines using GitHub Actions, GitHub runners, and GitLab workflows. Configure, deploy, scale, and maintain production applications running in Kubernetes. Maintain Zarf packages, Kubernetes configurations, and other declarative deployment artifacts. Support the deployment and troubleshooting of AI and GPU-enabled workloads. Investigate data-ingestion and production issues across application code, infrastructure, system access, and deployment configuration. Partner with application engineers an

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake's Forward Deployed Engineering team embeds directly inside enterprise customers' environments to design, build, and deploy production AI systems. We lead with AI transformation programs and expand into high-impact use cases built by our engineers and researchers. This work is specific, technical, and consequential — we do not do pilots that never ship. As an AI Deployment Strategist, you are the partner enterprise customers turn to when they are serious about transforming how their business runs on AI. You sit inside the FDE product org, working alongside the engineers and researchers who deliver these programs. The revenue is the result of trust, not a pitch. What You Will Do Understand the customer's business. Sit with C-level executives (CEO, COO, CFO, and beyond), and their teams on where AI changes how they operate. Learn how they make money and where the friction is. Find the problems worth solving and bring a point of view they cannot get from their own staff. Turn strategy into programs. Translate executive conversations into real engagements. Qualify opportunities rigorously, structure commercial commitments honestly, and author Statements of Work that reflect what Snowflake's FDE team can actually deliver. Work with legal to navigate IP, data rights, and

Role Summary Scale builds AI applications for organizations where reliability, security, and measurable results matter. Our core platform, SGP, gives teams the capabilities to build, deploy, evaluate, and operate those applications in customer environments. We're looking for a product leader to own the strategy and roadmap for SGP's core platform and lead the PM team responsible for it. You will work with customers, platform engineering, and forward deployed teams to build capabilities customers need, productize work developed in the field when it has broader value, and improve how teams build, deploy, and operate AI applications. This is a hands-on leadership role. You will connect work across teams into a coherent product, make difficult scope and investment decisions, and stay close enough to the details to know whether what we ship works for the people using it. What you'll do Own the platform strategy and roadmap. Prioritize across developer experience, capabilities customers need, and productizing work built in the field where it has broader value. Sequence investments against customer value, commitments, and dependencies. Define how the product should work. Work with users and engineers to write clear requirements and vibe code prototypes, user journeys, and measure success through customer outcomes, capability adoption, delivery time, and production performance, and follow through on gaps after launch. Align teams across the business. Work with platform engineering, forward deployed PMs, and business leaders to agree on shared capabilities, rollout priorities, and necessary differences across environments. Make clear what is available, where it works, and what remains to be delivered. Build and lead a strong PM team. Establish clear ownership across related product areas, hire and coach PMs, and raise the quality of product thinking and written requirements. Stay directly involved in the most consequential decisions. What we're looking for A track record of

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The world's engineers want to get the most out of Claude. At Anthropic, technical instruction already happens everywhere: our Applied AI and Forward Deployed Engineering teams teach customers and partners, and engineers across the company help others learn to build with Claude. Today that instruction is a shared responsibility, delivered alongside people's primary roles. As demand grows, we need to turn that distributed expertise into a dedicated technical instruction function. You will build that function. You will be the first person at Anthropic whose full-time job is technical instruction. You'll spend your first year primarily in the classroom teaching engineers, architects, and other technical practitioners. You'll also build the people, standards, and systems that let Anthropic's technical instruction scale far beyond the people we directly employ. This is a player-coach role. From day one you manage a small bench of instructors. You set the bar for what "ready to teach" means, decide who is cleared to teach a given module in Anthropic's technical programs, and assess facilitators from our training partners against that bar. You're an engineer who teaches and a teacher who has led other teachers. You can build an agent live in front of a skeptical engineer, diagnose what isn't working in a technical lab, and make the material better. You can also watch an experienced instructor teach, tell them their session isn't ready yet, and coach them to get there. You will report to the Head of Technical Enablement. The role is based in San Francisco with some travel expected. Key responsibilities Lead from the front. Teach