CSQ427R137 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a
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CSQ327R211 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a
CSQ327R215 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a
CSQ327R212 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a
CSQ327R214 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, 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 Forward Deployed Engineering (FDE) embeds with our most strategic customers to build production AI systems on Claude. The team takes on work where no playbook exists yet, turns what works into repeatable patterns for partners and our field teams, and brings what it learns back to Product and Research. Demand for FDE is well ahead of the team's capacity, and the team is growing quickly across the Americas, Europe and Asia. We're hiring a dedicated Strategy & Operations Lead for FDE. You'll be the strategy partner to FDE leadership and own the plan: headcount and capacity, the mix of work the team takes on, how engagements are priced and measured, and how more of the work moves to partners. You'll run the business reviews and build the reporting leadership uses to make these calls. You'll sit on our GTM Strategy & Operations team, dedicated full time to FDE. You'll work closely with Finance, Deal Desk, Legal, Revenue Operations, Partnerships and Applied AI, and with the FDE program leads who run pre-sales and delivery. This is a hands-on role. You'll build the models and dashboards yourself and use Claude to automate as much of the reporting as you can. Key responsibilities: Own the plan. Build FDE's annual and quarterly plan: headcount and hiring by region and role, capacity, utilization, and the mix of commercial, research and mission-driven engagements. Model demand and capacity. Build the demand, capacity and staffing models behind the plan, with scenarios leadership can use for hiring and prioritization decisions. Run the business reviews. Lead FDE's monthly and quarterly reviews. Set KPIs with FDE leadership
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
GAQ427R209 We're looking for a Senior Recruiter with experience driving recruitment in the EMEA region for our Field Engineering & Forward Deployed Engineering teams, to help us identify and hire great people for Databricks as we continue our expansion. You will conceive practical and creative ways to identify leading talent and invest considerable time activating and engaging passive candidates. You will use data to set benchmarks and metrics to create targeted recruiting strategies while partnering with leadership to build inspired teams. You will report directly to the Manager, EMEA Talent Acquisition. This is a fixed-term position for a period of 12 months, with the possibility of extension. The impact you will have: Apply your knowledge to meet our hiring needs within Field Engineering and develop unique full-cycle hiring strategies. Build engaged talent pipelines for roles across Field Engineering, with active and passive candidates which can sustain long-term hiring goals. Act as a trusted advisor to Field Engineering leaders across EMEA — running intake and calibration sessions, challenging assumptions on role design and seniority, and holding hiring managers to a consistently high bar. Create closing approaches to manage partner expectations through market data Lead the business with data to promote future workforce planning decisions and accurate forecasting Help Databricks to provide a positive interview experience for all and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring What we look for: Experience with recruiting for Go To Market professionals, specifically Pre-sales Engineers and Post-sales engineers from Entry level to Director within the software industry. Experience building strategic partnerships within the business and cross-functionally, and influencing senior stakeholders with data rather than opinion. Experience recruiting across multiple EMEA markets and navigating the
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineeri
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 Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineeri
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 to ship AI products. THE ROLE As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POC’s through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. 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 Leadership Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development. Set clear goals and ensure timely, high-quality 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! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on Canadian public sector and defence accounts. This is a highly specialized role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organizations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Canadian federal departments, provincial agencies, Crown corporations, and defence organizations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements. Location: Ottawa required Security Clearance:
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! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on UK public sector and defence accounts. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of UK Government and defence organisations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements. Location: UK Security Clearance: Active Top Secret clearance preferred; candidates with Active Secret cleara
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