Forward Deployed Analytics Engineer Jobs

About Bolna Bolna is Voice AI infrastructure built for India - and now for the world. We help businesses deploy intelligent voice agents that can call, converse, and convert in any language, at scale. From collections to customer support to sales, our agents handle millions of conversations so humans don’t have to. We’re a YC F25 company, backed by General Catalyst, with 1,050+ paying customers and growing fast. This Role As an Enterprise Lead , you will own the success of Bolna’s largest and most strategic enterprise deployments. You will lead a team of Forward Deployed Engineers (FDEs), ensuring enterprise customers move from business problem → deployment → measurable outcomes. You’ll work closely with CXOs and senior stakeholders on the customer side while partnering with Bolna’s Product, Engineering, and Business teams internally. This is a high-ownership role. You will be expected to bring structure to complex enterprise problems, drive execution through your team, and ensure that deployments are not just launched - but successful. You’ll operate at the intersection of enterprise delivery, customer success, technology, and business . What You’ll Do Lead and manage a team of FDEs , setting clear priorities, driving execution, and maintaining a high bar for customer delivery. Own the end-to-end success of strategic enterprise deployments - from scoping and solution design to launch, adoption, and expansion. Work directly with enterprise stakeholders and CXOs to understand business objectives, define success metrics, and communicate progress. Translate complex business requirements into clear execution plans across FDE, Product, and Engineering teams. Review deployment strategies, solution architecture, agent performance, and customer outcomes to ensure quality and scalability. Identify risks and bottlenecks early and drive cross-functional teams toward resolution. Build repeatable enterprise deployment playbooks, processes, and best practices . Analyze customer a

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 for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will 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 Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it. Manage each TDL directly

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 Snorkel AI is hiring a Forward Deployed Engineer focused on Synthetic Data Generation to partner with leading AI labs and enterprises on their most critical AI initiatives. In this role, you will lead the technical execution of complex customer engagements where synthetic data is used to improve model training, evaluation, and performance. You will translate ambiguous model and data challenges into effective data strategies, build scalable generation and evaluation pipelines, and use experimentation to continuously improve data quality and downstream model outcomes. You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements. Main Responsibilities Synthetic Data Generation & Evaluation Design and build scalable synthetic data generation, transformation, filtering, and evaluation pipelines for complex AI use cases Translate model objectives, failure modes, and data gaps into synthetic data strategies, experiments, and technical specifications Develop LLM- and ML-assisted workflows to generate high-quality training and evaluation datasets across targeted behaviors, domains, and edge cases Build automated evaluators, quality checks, and measurement frameworks to assess correctness, relevance

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 Snorkel AI is hiring a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic-AI initiatives. In this role, you will lead the technical execution of complex customer engagements involving agents that operate computers, browsers, and software environments to complete realistic, multi-step tasks. You will translate ambiguous product and model challenges into robust task environments, datasets, evaluators, and delivery plans that improve agent reliability and downstream performance. You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements. Main Responsibilities Computer Use Agents, Data, and Evaluation Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data Build automated evaluators, checks, and measurement frameworks to asse

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. Security Engineering is paramount to the success of our business, and DoorDash Security aspires to be one the world’s most admired Security Engineering team. We are committed to building the world's most trusted on-demand, logistics engine for delivery! We're expanding our team of great minds to help us secure and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s multi-sided marketplace of consumers, merchants, and drivers. About the Role Our Proactive Security Engineering team is looking for a Staff Security Engineer, Proactive Security to execute on AI Security Product Engineering following a forward deployed engineering Pod model. You will be a part of our inclusive, collaborative forward deployed engineering team responsible for building “paved road” Security Product controls directly into our AI surfaces for our Customer, Merchant and Dasher products to ensure a safe, secure and resilient delivery network. This is not a classic Product Security role performing reviews and operating platform products, this is a forward deployed model where we operate in Pods that focus on domain code bases to build and ship AI Security Products including Hardened Product Agents, AI Guardrails, MCP Gateways and many upcoming AI Hardening initiatives. This is a US remote position reporting directly to the Manager of our Proactive Security Engineering team. You’re excited about this opportunity because you will… Co-lead the technical direction and roadmap for secure and responsible building of AI Security Products at DoorDash. Partner cross-functionally with Product Engineering, Legal, Security Engineering Platform, Data teams and XFN partners to build “paved road” proactive security controls that enable secure by design AI products into DoorDash eco-system. Examp

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. Security Engineering is paramount to the success of our business, and DoorDash Security aspires to be one the world’s most admired Security Engineering team. We are committed to building the world's most trusted on-demand, logistics engine for delivery! We're expanding our team of great minds to help us secure and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s multi-sided marketplace of consumers, merchants, and drivers. About the Role Our Proactive Security Engineering team is looking for a Staff Security Engineer, Proactive Security to execute on Dasher Security Product Engineering following a forward deployed engineering Pod model.You will be a part of our inclusive, collaborative forward deployed engineering team responsible for building “paved road” Security Product controls directly into our Dasher products to ensure a safe, secure and resilient delivery network. This is not a classic Product Security role performing reviews and operating platform products, this is a forward deployed model where we operate in Pods that focus on domain code bases to build and ship Dasher Security Products focusing on application hardening, anti-app reversing, and payment security in our global Dasher ecosystem.This is a US remote position reporting directly to the Manager of our Proactive Security Engineering team. You’re excited about this opportunity because you will… Lead the technical direction and roadmap for hardening of Dasher Security Products at DoorDash. Partner cross-functionally with Product Engineering, Legal, Security Engineering Platform, Data teams and XFN partners to build “paved road” proactive security controls that enable secure by design AI products into DoorDash eco-system. Examples of Dasher Security Products this team will focus on i

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 As a Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom agentic AI solutions for enterprise customers. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes Each engagement runs from SOW through production deployment. Forward Deployed Engineers build the technical solution; you drive the delivery plan, product scoping, stakeholder relationships, and the organizational complexity of deploying agents into complex enterprise environments. You need to be credible in architecture conversations with engineering leads and equally comfortable running executive briefings with C-suite sponsors. You won't write production code, but you'll pressure-test technical decisions and make real-time trade-offs on scope and priority when things go sideways on an engagement. This is also a builder's role. We're in the early innings of an emerging motion - the playbooks, the delivery patterns, the repeatable IP that makes the next engagement faster and better don't exist yet. The TDLs who thrive here are the ones who get that codifying what works is as important as the engagement in front of them right now. Responsibilities Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against. Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDE

The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in the first five minutes, and help them see how Datadog fits into their stack before they've even finished describing it. You'll be the first technical member on a lean, five-person team, owning the technical motion end-to-end: discovery calls, demos, startup enablement, forward-deployed engineering projects, and representing Datadog at founder events across San Francisco. This isn't a traditional SE seat - it's part solutions architect, part technical consultant, part startup evangelist, and it requires someone adaptable, proactive, and ready to take initiative without being told what to do next. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Run discovery calls with startup CTOs and engineering leads to identify quick wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse Deliver tailored Datadog demos and help startups get instrumented quickly - removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security Build automation to improve internal team workflows - EX: outreach, reporting, the application process, and website updates Represent Datadog for Startups at accelerator demo days, hackathons, conferences, founder dinners, and workshops across San Francisco Build relationships across SF's startup ecosystem - founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for tech

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects. Drive customer impact by designing, implementing,

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. At Snowflake, we are building a high-impact team to help the world’s most innovative companies unlock the power of AI. As a Forward Deployed Engineer, Applied AI in our Cortex AI team, you will be a hands-on builder and a critical technical partner to our most strategic customers, placing you at the forefront of the enterprise AI revolution. You won't just be working with cutting-edge technology; you will be deploying it to solve real-world business problems at a massive scale. This role places you at the intersection of product, engineering, and customer success, building production-grade AI systems using Snowflake AI Platform, Cortex, and our native LLM capabilities. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Drive Customer Impact: Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents. Build and iterate on AI pipelines and agents within a team-led engagement from prototype to production, contribute to evaluation frameworks and observability infrastructure most complex business challenges. Deliver with Velocity: Rapidly design, iterate, and ship high-quality code and ML pipelines. Translate ambiguous business objectives into robust, scalable, and performant solutions using Python and SQL. Productionize AI at Scale: Own the full lifecycle o

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 Snorkel AI is looking for a Director of Technical Recruiting to build and lead the technical recruiting engine that will support our next stage of growth. This leader will own the strategy, team, operating model, and execution required to hire exceptional talent across Engineering, Research, Product, Forward Deployed Engineering, and Applied AI Engineering. This is a high-impact leadership role for someone who has built and scaled technical recruiting teams in hyper-growth startup environments, ideally from roughly 100 to 1,000 employees. We are looking for a builder: someone who knows how to design a recruiting function from the ground up, develop a high-performing team, partner deeply with technical leaders, and compete creatively for scarce talent in one of the most competitive markets in the world. The ideal candidate has operated in the Bay Area technical talent market, understands the pace and ambiguity of high-growth startups, and brings strong instincts for hiring in AI, infrastructure, data, machine learning, developer tools, or other deeply technical domains. What You’ll Do Lead and scale Snorkel AI’s technical recruiting function across Engineering, Research, Product, FDE, and Applied AI Engineering. Build, develop, and manage a high-performing team of technical recruiters, sourcers, and recruiting leaders as the company scales. Own the overall technical recruiting strategy, including workforce planning, pipeline development, s

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe’s Professional Services team works with our most strategic users, delivering excellence and enabling our users to succeed with Stripe. This role sits within the new Forward Deployed Engineering team, taking the evolution of our consulting services behind the keyboard by directly building and delivering software for our users. As a brand new offering from Stripe, we work directly with Stripe's users to build scalable Stripe integrations and standalone applications. What you’ll do In this role, you will work closely with Stripe’s Product & Engineering team to help shape the features that extend beyond what’s possible out of the box with Stripe integrations. You may be building standalone applications that are deployed in user environments, developing priority features within Stripe's ecosystem, or augmenting existing development staff for our users to deliver faster and more resilient connections to Stripe. While maintenance is part of the work, you'll often be starting new and exciting projects. Since this is a new team at Stripe, you'll succeed if you get excited about driving direction and taking ownership of your work. Responsibilities Design and architect robust technical solutions, ensuring they are secure, scalable, and aligned with customer needs Design, build, and deploy production applications that combine user business logic, Stripe best practices, and user-facing interfaces Collaborate directly with internal and e

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We are looking for a Global Head of Professional Services to build and lead Vercel's professional services organization, composed of our Technical Account Management (TAM) and Forward Deployed Engineering (FDE) functions. These functions embed directly with our most strategic customers to design, build, and ship production applications on Vercel using Vercel's core platform, Next.js and our agent stack, taking projects from first prototype through production rollout. You will define how this function operates: the engagement model, the delivery methodology, the commercial structure, and the team itself. You will report directly to our Global Head of Field Engineering, and partner closely with GTM and Product Leadership to run a business function that turns our largest customers' complex implementations into production deployments, drives adoption and expansion, and feeds what you learn in the field back into our product roadmap. This is a hybrid position based in San Francisco, Austin or New York, with 3 days per week required in office. What You Will Do: Build, lead, and develop the global Professional Services team, including hiring standards, training, career development, and compensation. Define the engagement model: how engagements are scoped, staffed, sequenced, and measured, and which accounts qualify for embedded support. Own delivery excellence for strategic customer engagements, from discovery and technical scoping through production deployment and stabilization. Establish the commercial model for professional services, i

CSQ427R47 At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us with interesting new big data and AI use cases. You will shape the future of big data and the machine learning landscape for leading Fortune 500 organizations. Forward Deployed Engineering (FDE) Delivery Partner Manager supports the mission of the FDE team, which is to accelerate and de-risk our customers' business outcomes through effective enablement and delivery of Databricks platform technology. This is an individual contributor role that will oversee the Databricks Delivery Partner Program which looks to use close partnerships with key system integrators to effectively co-deliver Databricks services engagements. The impact you will have: You will work with the FDE team in order to use Databricks delivery partners to accelerate our customer project outcomes . Build and develop FDE relationships with Global System Integrators (GSIs), Regional System Integrators (RSIs), regional Partner team to support bi-directional pipeline review and bi-directional engagements (subcontracting, and advisory) for company priorities. Build a RFP process to support Partner Selection for large complex multi year, multi phase migration deals. Create templates, scorecards to supplement partner selection with a data driven approach. Spearhead and lead efforts to incubate and ramp new partners with Gen AI capabilities. Drive MBRs and QBRs with priority partners , and develop long term roadmaps for PS Partner delivery priorities. Develop scorecards and feedback loops to segment partners by focus areas, regions and company priorities. Drive delivery governance to ensure partner quality and delivery on Services led and partner supported implementations. Support global programs to measure partner quality such as CSAT, Partner Survey and program governance. Lead programs that align with our FDE & Partner strat

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency con