Forward Deployed Engineering Nyc Manager Jobs

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Portworx is building a Forward Deployed Engineering team to embed directly with our most strategic customers during their highest-stakes Kubernetes storage deployments. You'll be the technical bridge between complex customer infrastructure and Portworx itself: shaping production architectures, advising through critical rollouts, and turning field experience into structured product feedback that shapes our roadmap. This is a consultative role. The customer's teams operate their own environment; your job is to make sure the decisions they make are the right ones. That means the value you bring is judgment and depth rather than execution: knowing which architecture holds under load and failure, which assumptions in a proposed design are wrong, and what a given storage fabric, hypervisor estate, or network topology will and won't support. Most of this work sits in the customer's own data center. Our largest and most complex deployments run on customer-owned compute, Fibre Channel and IP storage fabrics, established virtualization estates, and enterprise network designs that predate Kubernetes by a decade. You need to be genuinely conversant below the Kubernetes layer, at the server, the HBA, the switch, and the array, because that is where these deployments succeed or fail and where the customer's infrastructure leaders will test whether you're worth listening to. This is not a support role and not a pure pre-sales ro

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role As a foundational FDE manager, you’ll lead FDE through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field. You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be. This role is based in New York City We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. This role also will require travel up to 25%. In this role you will Lead and grow a team of FDE delivering production systems with frontier models Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices Use judgement to distinguish what requires action and what does not Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback Define how we staff and support field teams that can scale without added complexity You might thrive in this role if you Bring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or custo

About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in San Francisco. W

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. About the Team Forward Deployed Engineering connects Aircall's AI Voice Agent (AIVA) and AI Messaging Agent (AIMA) to real-world customer workflows, turning possibility into production. The team sits within Customer Solutions & Applied AI and works cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, globally across EMEA, AMER, and APAC. This role owns the FDE motion for one region, reporting to the SVP, Customer Solutions & Applied AI. About the Role The FDE Le

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. About the Team Forward Deployed Engineering connects Aircall's AI Voice Agent (AIVA) and AI Messaging Agent (AIMA) to real-world customer workflows, turning possibility into production. The team sits within Customer Solutions & Applied AI and works cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, globally across EMEA, AMER, and APAC. This role owns the FDE motion for one region, reporting to the SVP, Customer Solutions & Applied AI. About the Role The FDE Le

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Staff Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workfl

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Senior Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workf

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workflows. B

Datadog's Forward Deployed Engineering function is in an active growth phase, and the FDE Lead will play a central role in shaping what comes next. Working in close partnership with the Head of Datadog for Startups and Forward Deployed Engineers, and the existing FDE team, you will help define and expand the FDE framework, build out the structures and processes that allow the team to operate at scale, and extend the program's reach well beyond any single customer segment. This role sits at the rare intersection of sales, execution, program design, and hands-on engineering leadership. You are part field technical leader, part program architect, and part cross-functional connector. You will help determine what the FDE motion looks like at Datadog, contribute to its playbook, and push the boundaries of what the team can deliver. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Evolve and scale the FDE operating model end to end: engagement intake, scoping, sprint delivery, handoff back to account teams, and the success metrics (time-to-value, adoption lift, ARR influence, NPS) and reporting infrastructure that support them. Build out a catalog of FDE offerings spanning observability quickstarts, custom integration development, LLM/AI observability accelerators, CI/CD pipeline instrumentation, and cost optimization deep dives, and contribute to their pricing and business models, including free-to-paid conversion plays, paid deployment packages, and post-deployment success motions. Capture product and feature gaps uncovered during deployments, translate them into structured prioritized briefs, and partner with PM and Engineering to strengthen the field-feedback channel that informs roadmap decisions on a regular cadence. Hire, onboard, an

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About The Role & Team Amplitude is the leading AI analytics platform, and our ability to deliver measurable customer outcomes quickly is a key part of how we keep that lead. The Customer FDE (Forward Deployed Engineering) team sits at the intersection of engineering, product, and customer success — owning the technical delivery that takes validated products from co-development and implements them across enterprise customers. As a Customer Forward Deployed Engineer, you will own end-to-end technical delivery for enterprise customer implementations, from sales engagement through post-deployment validation. You'll work directly in Amplitude's product codebase, submitting PRs, shipping customer-specific solutions, and building reusable patterns that make every successive engagement faster. This is not a traditional support or solutions role. Customer FDEs a

About The Role & Team Amplitude is the leading AI analytics platform, and our ability to deliver measurable customer outcomes quickly is a key part of how we keep that lead. The Customer FDE (Forward Deployed Engineering) team sits at the intersection of engineering, product, and customer success — owning the technical delivery that takes validated products from co-development and implements them across enterprise customers. As a Customer Forward Deployed Engineer, you will own end-to-end technical delivery for enterprise customer implementations, from sales engagement through post-deployment validation. You'll work directly in Amplitude's product codebase, submitting PRs, shipping customer-specific solutions, and building reusable patterns that make every successive engagement faster. This is not a traditional support or solutions role. Customer FDEs are engineers first who partner closely with Sales, Customer Success, Product, and Engineering to turn customer needs into working software. The right person thrives in ambiguity, learns new domains quickly, and cares as much about the customer's outcome as about technical elegance. As a Customer Forward Deployed Engineer, you will: Own enterprise implementations end-to-end — engage during sales to map customer needs to capabilities, scope implementation plans, and deliver through post-deployment validation with measurable customer outcomes Work directly in the product codebase — submit PRs, test, and ship customer-specific solutions without requiring constant oversight; over time, the gap between "what we built" and "what the customer needs" keeps shrinking because you're the one closing it Ship early, ship often, and gather feedback — treat every customer interaction as an opportunity to validate your approach and course-correct quickly Build reusable patterns and playbooks — when you solve something once, make sure the next person doesn't have to solve it again; identify and document implementation patterns that

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Head of Forward Deployed Engineering - Operations This role focuses on moving beyond isolated pilots and volunteer-led activity, and building a more deliberate approach to re-engineering work through AI, automation, and better operating design. This role will lead that for Ops. It will set the direction for what an AI-native, and highly leveraged operations model should look like, help identify where the biggest opportunities sit, and create the structure that allows domain-owned use cases to turn into real outcomes. Domain leads will remain accountable for the impact delivered in their own areas. This role exists to bring the thought leadership, technical credibility, outside-in perspective, and driving force needed to help make that happen across the function. Head of Forward Deployed Engineering - Operations Set the AI and innovation direction for Operations, with a clear view of what will create the most meaningful step change in customer experience, productivity, quality, and scalability. Work with the domains to identify and prioritise the use cases that matter most, based on business value, feasibility, and readiness. Lead the central Ops innovation model, including the structure, ways of working, and foundations needed for domain-led re-engineering to succeed. Lead a small team of Forward Deployed AI

Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of 2,500 employees and offer the most comprehensive set of AI & data solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we partner with 1000+ clients, including some of the world’s top 300 brands. The Role Artefact is looking for a Manager, Forward Deployed Engineering , specialized in Gemini Enterprise and the Google AI stack: a hands-on technical leader who owns the delivery of AI products for our clients, from architecture through production, while building and leading the team of engineers who build them. You will split your time between technical leadership and people leadership. You set the technical direction for one or more client engagements, stay close enough to the code and architecture to make good calls under pressure, and are the senior escalation point when things get hard — technically or with the client. At the same time, you manage a team of Deployed AI Engineers: their staffing, their growth, their day-to-day delivery, and their development into the next generation of technical leads. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the leadership skills to run a delivery team and manage senior client relationships. What You'll Do Lead Delivery of Full-Stack AI Applications Own technical delivery across one or more client engagements: architecture decisions, technical risk, and quality bar. Set direction on interface design (TypeScript/React), backend services (Python or Node), and the agentic and retrieval systems underneath. Review and unblock your team's work on orchestration, tool/function calling, memory, guardra

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. About the Role: The Director, Forward Deployed Engineering & AI GTM Lead owns the technical execution, go-to-market effectiveness, and organizational adoption of Aircall’s AI Communication Agent . This role leads and scales the Forward Deployed Engineering (FDE) team while remaining closely engaged in customer-facing work to ensure consistency, quality, and impact across all deployments. Operating at the intersection of Applied AI, technical delivery, and go-to-market execution, this

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 an Engineering Manager (Player & Coach), you will lead and mentor a team of Forward Deployed Engineers focused on building, scaling, and optimizing LLM inference workloads for Baseten customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. FDE at Baseten is not a sales function – we are a mix of engineering, product, and customer architects who contribute to the core Baseten codebase, drive large portions of our feature roadmap, and execute on complicated customer engagements. 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 & Team Management Lead, mentor, and grow a team of Forward Deployed Engineers, providing guidance on technical direction, project execution, and professional deve