Forward Deployed Engineering Team Lead Jobs

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 Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Responsibilities Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. Run day-to-day engineering execution. Drive delivery across Anthropic and customer te

FEQ427R545 As a Solutions Architect part of a Global Capability Center(GCC) focused Field Engineering team, you will shape the future of the Data and AI landscape by working with the most sophisticated Data and AI teams in the world, including Fortune 500 enterprises and global AI-forward SaaS customers operating globally. In this role, you will be deeply embedded with our named strategic accounts, serving as a trusted long-term technical advisor while also collaborating with internal sales, product, and engineering teams. You will help our customers achieve tangible data-driven outcomes through the Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in data engineering, analytics, AI and data science. Reporting to the Field Engineering Manager, you will collaborate with our most strategic global prospects and customers, partner with regional field teams across geographies, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have Be the trusted technical advisor for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions. Help shape and drive your customer's AI strategy — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on Databricks. Partner with the sales team and provide hands-on technical

FEQ327R324 As a Solutions Architect part of a Global Capability Center(GCC) focused Field Engineering team, you will shape the future of the Data and AI landscape by working with the most sophisticated Data and AI teams in the world, including Fortune 500 enterprises and global AI-forward SaaS customers operating globally. In this role, you will be deeply embedded with our named strategic accounts, serving as a trusted long-term technical advisor while also collaborating with internal sales, product, and engineering teams. You will help our customers achieve tangible data-driven outcomes through the Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in data engineering, analytics, AI and data science. Reporting to the Field Engineering Manager, you will collaborate with our most strategic global prospects and customers, partner with regional field teams across geographies, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have Be the trusted technical advisor for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions. Help shape and drive your customer's AI strategy — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on Databricks. Partner with the sales team and provide hands-on technical

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 We are looking for experienced software engineers to join the Platform Ecosystem team within our Platform organization. Platform Ecosystem exists to empower the next big industries to build on Claude and to create the commercial rails that let businesses building on our platform flourish. This is a founding team, and you'll play a critical role in accelerating AI transformation across highly impactful, mission-driven sectors. You'll drive 0 → 1 efforts from ideation through delivery, partner closely with product, design, research, and forward-deployed engineers, and bring strong product and business sense to shape our strategy in entirely new domains. You should be comfortable moving across a breadth of different stacks and going deep when needed to break through walls and turn ambiguous opportunities into high-quality, shipped products. The Ecosystem team is organized around two pillars. Placement takes into account your interests and experience alongside organizational needs, so you can land where you'll have the greatest impact and growth potential. What you'll do Verticals: We build for the next API markets, such as Life Sciences & Healthcare. You'll work alongside product, design, research, and forward-deployed engineers to understand what these industries need from Claude, and build the capabilities, integrations, and workflows that let them adopt Claude safely and at scale. Expect to move quickly across unfamiliar domains, learn what matters to each market, and ship products that unlock entirely new categories of customers on the platform. Monetization: We build the commercial rails and controls that let the

A Career with Point72's Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. WHAT YOU'LL DO Act as a forward-deployed solution architect: partner with EMEA Pods and business groups to identify high-value AI use cases, understand research workflows, and shape practical solution designs. Use lightweight proof-of-concepts selectively to validate value before larger build decisions. Be the bridge between EMEA teams and the firm’s AI resources: turn messy team signal into concrete product and platform asks, surface existing firm capabilities before teams reinvent them, and help firm-wide teams understand regional priorities. Lead the enablement motion through teach-ins, prompt and tool literacy, and best-practice sharing, helping teams move beyond “AI is new and exciting” towards “AI is how we work.” Provide the light-touch technical support that unblocks a team—such as a quick integration or precise bug report—without owning or maintaining core production systems. Track adoption and impact with simple metrics, and feed what is working back to the teams building firm-wide capabilities. WHAT'S REQUIRED 3+ years of experience in a client-facing product, solution-engineering, or forward-deployed role. Early-stage or startup experience—working dire

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 Palantir platform is deployed in numerous critical mission environments including combat zones and classified networks—from the back of a Humvee to a command post to the cloud. This means operating in multiple cloud environments, on-prem air-gapped networks, and at the edge—at scale. We are looking for Edge Infrastructure Engineers to build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure. This role demands a deep focus on low-level systems, including the deployment and management of physical bare metal servers in both traditional data centers and edge environments. You will be responsible for physical network engineering and the development of robust infrastructure that ensures performance of the Palantir platform. In addition to ensuring performance and reliability, you will play a critical role in building and scaling new environments in a forward-deployed capacity, including onsite. Edge Infrastructure Engineers combine hardware-level engineering experience with the drive to improve existing systems and the creativity to develop novel solutions for evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate for and participate in sensible, scalable systems design, sharing responsibility for diagnosing, resolving, and preventing production issues across our most demanding deployments. Core Responsibilities Maintaining availability of cloud & physical Ku

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 Palantir platform is deployed in numerous critical mission environments including combat zones and classified networks—from the back of a Humvee to a command post to the cloud. This means operating in multiple cloud environments, on-prem air-gapped networks, and at the edge—at scale. We are looking for Edge Infrastructure Engineers to build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure. This role demands a deep focus on low-level systems, including the deployment and management of physical bare metal servers in both traditional data centers and edge environments. You will be responsible for physical network engineering and the development of robust infrastructure that ensures performance of the Palantir platform. In addition to ensuring performance and reliability, you will play a critical role in building and scaling new environments in a forward-deployed capacity, including onsite. Edge Infrastructure Engineers combine hardware-level engineering experience with the drive to improve existing systems and the creativity to develop novel solutions for evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate for and participate in sensible, scalable systems design, sharing responsibility for diagnosing, resolving, and preventing production issues across our most demanding deployments.

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

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Responsibilties and Requirements About the Role At Dun & Bradstreet, data is not just an asset—it is the context layer that powers intelligent decision-making. As our AI Solution Architect in Hong Kong, you will be a Forward Deployed Engineer who sit at the intersection of D&B’s global data network, cutting-edge AI infrastructure, and the real-world systems of largest enterprises. This is not a back-office engineering role. You and your team will be embedded with clients—from multinational banks and Fortune 500 manufacturers to cross-border trade platforms—to architect, deploy, and operationalize AI solutions that integrate D&B’s proprietary commercial data directly into their ERP, CRM, SCM, and risk management systems. You will operate in one of the world’s most regulated financial centers, solving high-stakes problems where data privacy, cross-border compliance, and real-time business intelligence converge. What You’ll Do Own End-to-End AI Deployment • Scope, architect, and deliver production-grade AI solutions (RAG pipelines, Agent workflows, predictive analytics) using D&B data assets and client infrastructure. • Operate in 6–12 week timeboxes, moving from ambiguous business requirements to working prototypes that demonstrate measurable ROI. Be the Technical-Strategic Bridge • Serve as the senior technica

About the Role We’re seeking a UX Product Designer to shape the core user experience of Translucent — the AI financial platform transforming how healthcare organizations make business decisions. This is a founding design role. You’ll be the design leader shaping how complex financial and operational workflows become intuitive, conversational, and insight-driven through AI. This role is equal parts product thinking, interaction design, systems design, and visual refinement. You’ll partner with customers, product, and engineering to craft elegant solutions that make healthcare decision-making feel simple. If you are energized by fast-paced environments, want ownership, and are excited to build new AI-native products from 0→1, this is an opportunity to do career-defining work. IIn this role, you will: Own product design, UX architecture, prototyping, and visual aesthetic Partner with product, engineering, and forward-deployed teams to deeply understand customer workflows, pain points, and mental models Translate complex, data-heavy use cases and workflows into intuitive, clear, and highly-usable product experiences Define and evolve our design system, visual language, and UX patterns across the platform Create high-fidelity prototypes to communicate experience direction and enable rapid iteration Collaborate closely with engineering to ensure design intent is delivered with quality Drive UX experimentation and validation through user testing, feedback sessions, and live usage signals Mentor others in product design best practices and help raise the design bar across our team What You Bring 6–10+ years designing high-quality digital products, ideally in SaaS, analytics platforms, or AI-powered tools for reputable brands Mastery of UX and interaction design: You can simplify complexity without oversimplifying Strong visual taste: You sweat the details of typography, hierarchy, and layouts Experience designing for data-heavy, workflow-driven use cases Ability

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious. About the Role Perplexity is building the AI platform for professional finance: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the market data, filings, transcripts, and research that investment professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured financial data. At the center of this is our Applied AI / Forward Deployed motion: we work closely with buyside firms—hedge funds, private equity, and asset managers—to distill their core investment processes and embed them into bespoke solutions built on our platform. That means sitting with analysts and PMs to understand how they screen, diligence, monitor, and decide, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers. As an AI Strategist on our Applied AI team focused on financial services, you are the subject matter expert who makes this real for investment professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discover

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious. About the Role Perplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data. At the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers. As an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining wh

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac is seeking a hands-on AI engineering leader to serve as Director within the Single-Family Acquisitions (SFA) division, reporting to the Sr. Director of GenAI Engineering & Enterprise Rules Platform. This role owns the technical core of SFA’s AI Systems Solutioning, including Agent Engineering & Design. This includes (1) the overall design and execution of AI Systems development from Ideation & Business casing to Specification creation & execution through deployment, (2) the evaluation harnesses and graded assessment sets that determine whether an agent or AI System is ready for production, and (3) the operating layer that keeps agents accountable after go-live. The role is approximately 70% hands-on architecture and code and 30% leadership of a GenAI engineering efforts and platform and vendor delivery partners. The Director is forward-deployed by design. The role partners with the divisional GenAI PMO, Enterprise Operations & Technology (EO&T), and Digital Experience, and works alongside the Enterprise Business Rules platform team so that agent-driven and rule-driven decisioning share a common domain vocabulary, evaluation approach, and traceability model. Our Impact Freddie Mac was established by Congress to provide liquidity, stability, and affordability to the U.S. housing market. Within Single-Family Acquisitions, our technology platforms and decisioning systems are foundational to ensuring loans sold to Freddie Mac meet eligibility, credit risk, and regulatory requirements at scale. Your Impact This role is a player / coach model. You wi

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. About the team At Privy, Solutions Engineering owns the technical customer journey from evaluation through launch and beyond. They are the primary technical DRI throughout the entire customer lifecycle (pre-sales, integration, and post-launch support). They help customers move fast, stay unblocked, and get to production with confidence. This is a high-leverage role at the intersection of customers, product, and engineering. You’ll work closely with Account Management, Forward Deployed Engineers (FDEs), Product Engineering to make sure customers are set up to succeed and that technical issues get resolved quickly and clearly. We’re looking for someone who is deeply technical, highly organized, and customer-obsessed. Someone who can quarterback complex integrations, communicate clearly with technical stakeholders, and keep customer work moving with speed and rigor. What you’ll do Own the technical relationship for Privy’s most important customers end-to-end Lead technical discovery, implementation planning, and launch coordination Drive integrations to successful completion Unblock customer issues quickly and with urgency Coordinate technical follow-through across internal and external stakeholders Partner closely with Account Management on customer health and escalations Work with FDE when a problem requires bespoke technical work or product development Route long-tail iss

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m