Senior Forward Deployed Builder Jobs

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s the opportunity? We are seeking a commercially-minded engineering leader to build and lead our Forward Deployed Engineering (FDE) New Business team. This role is pivotal in helping Fin scale its AI-first platform to the world’s most complex organizations. You will own both the technical execution and the business value outcomes, ensuring that our high-stakes deployments result in tangible success for our customers. About this Role This role is both strategic and hands-on. You will lead a Forward Deployed Engineering team that focuses on winning complex, large deals and navigating ambiguous customer engagements. Unlike traditional engineering management roles, this position demands high commercial fluency and a tight feedback loop with our R&D teams. You will collaborate closely with Sales, Solut

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem. Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape t

Lead Forward Deployed Engineers (FDE) are the most senior technical leaders in the FDE organization. They own the overall technical strategy for the FDE domain, not just individual engagements, and are accountable for how the entire function operates, scales, and improves over time. They set direction across multiple concurrent engagements, teams, and quarters, and are the technical voice the organization relies on when stakes, ambiguity, or cross-functional complexity are highest. This role sits at the intersection of technical depth, organizational strategy, and people leadership, setting the technical bar for the function, shaping how Product and Engineering prioritize based on field reality, and developing the next generation of Staff-level FDEs. We are looking to speak to candidates who are based in New York City for our hybrid working model. Responsibilities Own the FDE organization's overall engagement strategy, serving as the primary technical escalation point across the portfolio for the highest-risk, highest-visibility, and most ambiguous situations Act as the trusted technical counterpart to customer executives and internal VP/executive stakeholders on strategic bets, major risks, and cross-portfolio tradeoffs Set the technical architecture standards and design principles that govern how the FDE domain builds customer-facing solutions and platform capabilities, turning organization-level ambiguity into coherent multi-quarter technical strategy Stay hands-on where it matters most, writing and reviewing code and personally unblocking the hardest technical failures to keep the organization's technical bar grounded in reality Own the translation of field-wide patterns into the FDE domain's long-term technical vision, representing that vision to Product and Engineering executive leadership and defending multi-quarter roadmap tradeoffs Own the technical growth and career development of FDEs through mentorship, coaching, and calibration of the org's technical ba

Staff Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They are senior technical leaders who own ambiguous, high-impact problems that span customer engagements, product direction, and engineering execution. They are accountable not only for getting customers to production, but for using what is learned in the field to shape reusable product capabilities, technical strategy, and delivery quality across multiple teams. This role is best suited for engineers who want to combine hands-on technical depth with broad influence: defining or changing strategy when customer reality reveals a gap, guiding technical decisions across teams, and translating field insight into durable product and engineering improvements. We are looking to speak to candidates who are based in New York City, NY for our hybrid working model. Responsibilities Customer and business impact Own the most complex customer engagements and technical workstreams, especially where the problem, solution, or path to production is ambiguous Build deep understanding of customer architecture, business goals, constraints, and definition of success, and use that understanding to shape the technical approach rather than only execute within a predefined one Act as a trusted technical counterpart to customer’s engineering leaders, internal product and engineering leaders, and executive stakeholders when navigating complex tradeoffs, risks, and priorities Technical leadership and execution Lead architectural design for customer-facing solutions and platform capabilities within the FDE domain, balancing hands-on implementation with technical decision-making across multiple t

The Role We are looking for a Senior Partner Deployed Engineer to join the Customer Solutions team, focused on building Coder’s partner ecosystem across EMEA. This is a new function at Coder, modeled on the Forward Deployed Engineer role pioneered by companies like Palantir and now the fastest-growing technical role at frontier AI companies. The difference: instead of embedding with a single customer to deploy a platform, you embed with strategic partners to help them understand, position, and deliver Coder’s platform across their entire customer base. You are part Field CTO, part Industry Strategist, part Technical Specialist, and part Partner Relations Lead. You will be the technical authority within our EMEA partner ecosystem: setting the vision for how Coder fits into each partner’s AI, cloud, and modernization offerings, co-creating the GTM sales plays that partner sellers take to market, building the demonstrations and workshops that generate pipeline, and producing the Partner Relations content that establishes Coder’s technical brand in the ecosystem. This is not a support role. You are equally comfortable holding a strategic roadmap conversation with a partner CTO and debugging a Kubernetes deployment in a partner’s lab in the same afternoon. You are energized by the challenge of building a new category through partnerships, motivated by the multiplied impact of enabling an entire ecosystem rather than a single customer, and capable of operating with full autonomy in a fast-moving startup environment. What You’ll Do Serve as the strategic technical thought partner to EMEA partner leadership, including practice leads, CTOs, and solutions architects at global systems integrators, regional cloud consultancies, and hyperscaler field teams. Own the technical relationship and set the vision for how Coder fits into each partner’s AI and modernization portfolio. Co-create sales plays tailored to each partner’s customer base, vertical focus, and services capabilitie

Opportunity Overview: We are looking for a Lead Forward Deployed Automation Strategist to play a key role in delivering value for our Platform-as-a-Service (PaaS) customers. Reporting into our Senior Manager, PaaS Value Delivery, you will be part of a small, fast-paced team working directly with clients to strategically design, execute, and maintain a robust prior authorization decisioning automation program. Ultimately, the work you do will have a direct impact on the growth of the company and our ability to assist more patients at a time in their healthcare journey when they need help most. What you’ll do: Consult Platform-as-a-Service (PaaS) clients on designing an optimal decision automation program that maximizes platform value Translate complex client requirements into a detailed technical blueprints for development teams to leverage when implementing new clients Collaborate with Product, Development, Design, and Engineering teams in scoping new functionality, or enhancing existing functionality, to meet client automation needs Develop strategic roadmaps related to continuous improvement of decision automation performance in order to drive increased value for clients Analyze authorization data and leverage data visualization softwares to build and maintain analytical reports that inform internal and external stakeholders on platform performance Ensure client’s KPIs are met and ensure end-to-end automation success for each client through each stage of customer lifecycle Identify opportunities to scale and improve consultation workflows What you’ll need: 8+ years experience working in a client facing role; Demonstrated expertise in building client relationships and driving client engagement, value, and satisfaction Understanding of healthcare systems, medical terminologies, clinical workflows, and regulations Ability to navigate ethical dilemmas in healthcare data management and analysis while upholding professional standards and integrity Advanced Profici

MongoDB is the modern database platform and consistently voted the #1 most wanted database , preferred by developers. MongoDB continues to attract the most demanding and innovative companies and development teams in enterprise software. To support this growth, we are expanding our Industry Solutions Team (IST), a flexible, globally distributed organization that helps customers and partners modernize applications and data platforms with MongoDB. As a Forward Deployed Architect in our ISV Practice, you will be the technical design lead for engagements with independent software vendors (ISVs). You will work with ISV development leaders, senior engineers, and Forward Deployed Engineers to design how MongoDB integrates with and extends the partner’s product. This is an application architecture role, not a database administration or database consulting role. You will ensure that the designs implemented by the team are practical, production-ready, and reusable across future partner engagements. Learn more about #LifeAtMongoDB here ! We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you’ll do at MongoDB Lead technical design for ISV engagements by understanding partner architecture and delivery models, then defining MongoDB data models, access patterns, indexing, and integration approaches for products serving different industries Design MongoDB as a supported platform option alongside Oracle, PostgreSQL, or SQL Server, including persistence abstractions, feature parity, backend-specific behavior, and certification requirements Design coexistence architectures and migration paths, including data flows, synchronization, consistency, application refactoring, dual-run strategies, validation, and controlled cutover Lead design reviews, provide technical direction, and review schemas, queries, indexes, MongoDB-related code, and performance against realistic partner workloads Design solutions across MongoDB Atlas, Enterprise

About the Team OpenAI’s Forward Deployed Engineering team partners with leading semiconductor companies to deploy production-grade AI systems across the entire chip design lifecycle: design, verification, and physical design. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into systems that materially improve engineering workflows and accelerate innovation. Our work turns early, high-touch deployments into repeatable solution patterns, reference architectures, and evaluation practices that scale across the semiconductor ecosystem. About the Role We are seeking a highly skilled Physical Design Engineer to join our semiconductor-focused Forward Deployed Engineering team. This is a senior IC role that will begin with a strong emphasis on physical design expertise, technical judgment, advisory leverage, and customer credibility, with the expectation that the person will grow into a broader Forward Deployed Engineering role over time. In the near term, you will serve as the team’s physical design SME across semiconductor deployments: helping FDEs, Product, and Research understand backend implementation workflows, pressure-test AI-assisted solution ideas against real physical design constraints, and raise the quality of our customer-facing technical work. You will help the broader team build fluency in implementation flows, EDA tooling, signoff methodology, and the trade-offs that shape physical design decisions in practice. Over time, we expect this role to expand beyond SME support into broader FDE ownership: partnering directly with customers, shaping deployment strategy, building and iterating production-grade AI systems, driving technical workstreams, and helping turn high-touch semiconductor deployments into repeatable solutions. This is a strong fit for someone who brings deep physical design expertise today and is excited to grow into a customer-facing, syst

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t

Scale is accelerating the development of AI across the world's most important organizations, including the U.S. Department of War (DoW), its constituent services, and the broader U.S. National Security industry. The Product Manager, Public Sector will lead Scale's product efforts across two connected focus areas — military planning and real-time AI and Alerting (LUX) — shaping real production outcomes and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. This PM owns product outcomes for a cross-cutting portfolio of AI and data capabilities: earning deep trust with senior military, civilian, and mission stakeholders, driving deployments to production inside classified and operationally constrained environments, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to Scale's platform team. The best candidates have shipped AI or real-time data products into defense or other large, security-constrained organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. What You'll Do Own product outcomes across Scale's military planning portfolio and/or its highest-impact national security accounts for LUX, spanning multiple DoW and National Security stakeholders and use cases. You are the accountable PM for product delivery and customer value. Translate operational reality into high-signal product input for engineering and platform teams — specific, evidence-backed product perspective with tradeoffs articulated, not requirements docs. This includes military planning workflows (e.g., the Joint Planning Process) and modeling/simulation requirements (e.g., AFSIM), as well as real customer workflows, latency/throughput constraints, and mission priorities for LUX. Build trusted advisory relationships with senior military leaders (flag/general officer and senior civil

Role Summary Scale is accelerating the development of AI across the world's most important organizations. The Forward Deployed PM is the person who makes enterprise deployments succeed from the product side — embedded with customers, shaping real production outcomes, and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. The FDPM owns product outcomes inside a portfolio of enterprise accounts: earning deep trust with senior customer stakeholders, driving deployments to production, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to the platform team. The best FDPMs have shipped products into large organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. What You'll Do Own product outcomes for our highest impact enterprise accounts. You are the accountable PM for product delivery and customer value. Build trusted advisory relationships with VP/C-level buyers and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally. Drive deployments from contract to production. You have done this before for large organizations. You know what 'production-ready' actually means and you close the gap. Translate real customer workflows, friction, and priorities into high-signal product input for core platform teams. Not requirements docs — specific, evidence-backed product perspective with tradeoffs articulated. Distinguish where the product is the constraint from where execution, integration, or change management is. Drive each type of blocker to resolution through the right channel. Partner closely with FDEs so the account runs as a coordinated team, not a set of parallel workstreams. Identify and develop expansion opportunities grounded in demonstrated customer value Represent customer reality to platf

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t

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 senior 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-o