Forward Deployed Analytics Engineer Jobs

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 The Forward Deployed Software Engineer Internship Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE intern, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?” You’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and d

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. The role “The ideal forward deployed builder is a composite. Not a software engineer, not a product manager, not a solutions architect or a salesperson — but able to draw on any of these to solve the customer’s problems, in the customer’s building, on the customer’s timeline, against the customer’s data.” Ema is building the Universal Agentic Control Plane — the layer where enterprises turn messy, human-run business processes into AI Employees that actually do the work. The platform is powerful. The bottleneck is people who can walk into a customer’s world, see what should be automated, and make it real. That’s this role. We’re looking for a Forward Deployed Builder to embed inside our customers and partners, find the highest-value opportunities for agentic automation, solution them, build the demo, win the deal, and then stay to implement it in production. You go in alone, Rambo in the jungle, armed with your wits, your skills, and the most powerful agentic platform on the market. We’ll train you hard before you deploy. After that, the territory is yours. This is not a support role behind an account team. You are the account team, the solutions architect,

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. 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, 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. The role “The ideal forward deployed builder is a composite. Not a software engineer, not a product manager, not a solutions architect or a salesperson — but able to draw on any of these to solve the customer’s problems, in the customer’s building, on the customer’s timeline, against the customer’s data.” Ema is building the Universal Agentic Control Plane — the layer where enterprises turn messy, human-run business processes into AI Employees that actually do the work. The platform is powerful. The bottleneck is people who can walk into a customer’s world, see what should be automated, and make it real. That’s this role. We’re looking for a Forward Deployed Builder to embed inside our customers and partners, find the highest-value opportunities for agentic automation, solution them, build the demo, win the deal, and then stay to implement it in production. You go in alone, Rambo in the jungle, armed with your wits, your skills, and the most powerful agentic platform on the market. We’ll train you hard before you deploy. After that, the territory is yours. This is not a support role behind an account team. You are the account team, the solutions architect, and the builder, compress

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. At Flexport, we are building the unified Supply Chain Operating System for global trade. While traditional SaaS companies sell static dashboards and walk away, Flexport's Forward Deployed Engineers (FDEs) embed directly on the frontlines with enterprise clients (such as Fortune 500 retailers, automotive manufacturers, and tech giants) to solve high-stakes supply chain challenges. You are an operational strike-team leader who sits at the intersection of full-stack software engineering, applied AI, operations research, and executive client strategy. Deployed to client command centers and logistics hubs, you will connect fragmented enterprise data, architect solutions, and build agentic AI systems that optimize real-world cargo moving across ocean, air, and land. You won't just write code in a vacuum, you will embed with client engineering leaders and VPs of Supply Chain, map messy operational reality into production software, and deploy autonomous workflows that directly eliminate millions in logistics waste. You Will Embed & Map: Travel to client sites to map end-to-end supply chain processes, audit legacy systems, uncover hidden financial leaks, and translate c

About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurab

About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable

About the Team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the Role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and mea

About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Must be a permanent resident or citizen of Singapore. Responsibilities Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. Product Feedback Loop: D

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-thei

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase's Compliance organization manages regulatory obligations across products, operations, and growth — spanning transaction monitoring, sanctions screening, regulatory change management, and exam readiness across 60+ global entities. This role sits directly inside the Office of the CTO, embedded as a founding engineer within Compliance. You'll identify high-value workflow opportunities, rapidly prototype solutions using Coinbase's existing AI platform, and drive measurable adoption of AI tooling across the Compliance org. You'll be the connective tissue between Compliance stakeholders and the engineering teams who maintain Coinbase's AI platform, acting as advocate, translator, and builder in one. What you'll do: Embed with Compliance leadership and frontline teams to surface the automation opportunities with the greatest business leverage — developing ground-level understanding of workflows like transaction monitoring, sanctions screening, regulatory change management, and exam preparation. Prototype quickly and pragmatically using Coinbase's existing AI platform as the default foundation before recommending net-new builds. Own the Compliance automation roadmap in partnership with the Chief Compliance Officer and Compliance leadership, translating complex regulatory workflows — case resolution, trade surveillance, risk assessment, policy management — into engin

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart's Enterprise Solutions team is building a first-of-its-kind business: embedding directly with enterprise retail and CPG partners to design, sell, and deliver AI-powered solutions at scale. We are a small, senior, field-first pod — part startup, part consultancy — defining the playbook as we go. As a Forward Deployed Engineer, you are Instacart's hands-on technical presence inside enterprise customer environments. You will sit inside retailers' and partners' ecosystems, understand their infrastructure, and build agentic AI solutions on top of it. As part of your mission, you will brainstorm with partner technical leaders and collaborate on solution designs that deliver value while remaining compatible with existing environments and infrastructure. You will also collaborate closely with Instacart R&D's team, informing platform evolution

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart's Enterprise Solutions team is building a first-of-its-kind business: embedding directly with enterprise retail and CPG partners to design, sell, and deliver AI-powered solutions at scale. We are a small, senior, field-first pod — part startup, part consultancy — defining the playbook as we go. As a Forward Deployed Engineer, you are Instacart's hands-on technical presence inside enterprise customer environments. You will sit inside retailers' and partners' ecosystems, understand their infrastructure, and build agentic AI solutions on top of it. As part of your mission, you will brainstorm with partner technical leaders and collaborate on solution designs that deliver value while remaining compatible with existing environments and infrastructure. You will also collaborate closely with Instacart R&D's team, informing platform evolution

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical t

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. The new Forward Deployed Engineering team takes 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 external stakeholders, br

About the role The Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you’ll find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10–100x faster or more often than a human team could using AI agents, integrations and other patterns. You will build, deploy, and run them in production. You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds. Find the leverage in your domain Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools. Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed. Build the business case, quantify projected impact, and align with domain leadership on priorities. Design the future-state workflow Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS). Define the target workflow: what the agent does, what the human does, and where they hand off. Figure out what context the agent or model needs to do the work well — and how to get it there reliably (retrieval, grounding, tool access, memory). Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck. Build and connect the systems Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks. Connect agents to business systems — via MCP servers, APIs, webhooks, CLIs, and skills — within the guardrails set by IT and security. Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos. Handle integration gnarliness: auth,