Forward Deployed Engineering Nyc Manager Jobs

The Senior Enterprise Engineer opportunity Statsig is building an Enterprise Engineering team for engineers who want unusually direct ownership of high-stakes customer outcomes. Like a Forward Deployed Engineering team, Enterprise Engineering works extremely close to customers and tackles the technical problems that matter most to them. The difference is the scope of ownership. Forward Deployed Engineering is often concentrated around implementation or onboarding; Enterprise Engineering is responsible for a customer’s technical success throughout the entire customer journey. You’ll stay close as needs evolve, answering questions, investigating across the stack, identifying root causes, shipping fixes and features, and remaining accountable through resolution. This is a software engineering role with a tight customer feedback loop. It is ideal for a pragmatic generalist, especially someone with backend or infrastructure depth who enjoys ambiguous problems, production systems, fast decisions, and immediate impact. What you’ll do Serve on the engineering front line in Unthread, our Slack aggregation and workflow layer, for key customer accounts. Answer technical questions by reading the code, tracing behavior, inspecting production signals, and building a clear explanation, not by forwarding the thread. Diagnose and fix bugs, then validate the outcome with the customer. Design and implement product or platform features when doing so is the fastest, highest-quality way to solve the customer’s problem. Act as the engineering point of contact for urgent issues in key customer accounts’ Slack channels, coordinating the response while retaining technical ownership. Represent engineering in customer office hours and, for selected accounts, recurring weekly meetings. Partner closely with customer-facing and product teams while maintaining crisp ownership, communication, and escalation paths. Identify recurring patterns and improve tooling, documentation, observability, APIs,

GAQ427R208 We're looking for a 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 Own full-cycle hiring for entry to mid-level Field Engineering roles across EMEA — Associate and mid-level Solutions Architects, Solutions Engineers, Delivery Solutions Architects, and similar. Run creative, high-quality outbound sourcing: build target lists, write outreach that people actually reply to, and keep a healthy pipeline of engaged passive candidates. Build market maps and talent pools by market, skill and competitor, and keep them warm so we can move quickly when headcount opens. Partner with hiring managers and senior recruiters on intake, calibration and candidate feedback, and keep them informed with clear, regular updates. Give every candidate a great experience — fast, honest communication and a well-run process from first message to offer. Keep our data clean and useful: accurate ATS hygiene, reliable reporting on funnel and sourcing performance, and insight on what channels are actually working. Contribute to how we source: test new tools, channels and outreach approaches, and share what you learn with the wider team. What we look for Experience sourcing and recruiting in-house or in agency, ideally within software, SaaS, or the Data and AI space. Demonstrable outbound sourcing ability — you can talk us through how you find and

The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in the first five minutes, and help them see how Datadog fits into their stack before they've even finished describing it. You'll be the first technical member on a lean, five-person team, owning the technical motion end-to-end: discovery calls, demos, startup enablement, forward-deployed engineering projects, and representing Datadog at founder events across San Francisco. This isn't a traditional SE seat - it's part solutions architect, part technical consultant, part startup evangelist, and it requires someone adaptable, proactive, and ready to take initiative without being told what to do next. 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: Run discovery calls with startup CTOs and engineering leads to identify quick wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse Deliver tailored Datadog demos and help startups get instrumented quickly - removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security Build automation to improve internal team workflows - EX: outreach, reporting, the application process, and website updates Represent Datadog for Startups at accelerator demo days, hackathons, conferences, founder dinners, and workshops across San Francisco Build relationships across SF's startup ecosystem - founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for tech

CSQ427R440 The Databricks Customer Enablement team is on a mission to upskill data and AI professionals in customer organizations so they can use Databricks effectively and accelerate customer success. As a Customer Enablement Architect, you will design and lead customer enablement and talent-transformation programs across Australia and New Zealand. You will partner with Sales, Field Engineering, Forward Deployed Engineering, Training Delivery, and Operations to understand customer needs, recommend the right learning solutions, and ensure successful execution. You will balance strategic customer engagement with program and commercial execution across training bookings, revenue, learners, credentials, and adoption. You will bring enough technical depth to understand Databricks curriculum and certifications, make credible recommendations, and engage confidently with technical stakeholders—without being expected to deliver deep hands-on technical training. The impact you will have Work with regional Go-to-Market teams to create enablement strategies aligned to customer segment, business priorities, technical maturity, and talent-transformation goals. Translate customer outcomes into practical learning plans, capability roadmaps, and recommendations across free and paid training, instructor-led and self-paced learning, credentials, and partner delivery. Partner with global Delivery and Operations teams to coordinate scheduling, communications, program quality, and seamless execution of customer development plans. Manage and report weekly, monthly, and quarterly performance across training bookings, revenue, learners, credentials, and adoption; use insights to guide action from field teams. Serve as the voice of the customer for regional enablement, curriculum, and certification priorities, while engaging senior leaders and executives internally and externally. Identify capability gaps that may affect platform adoption and work with account teams on targeted

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 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 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. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptan

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 This is a founding 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. This is not a management role, however you'll 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 Tokyo. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 25-50% is required. To succeed in this position you must be fully bilingual—fluent in both Japanese and English (spoken and writt

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 Deployment Lead, you will define how OpenAI delivers complex systems to Semiconductor customers. You will own how solutions are scoped, built, shipped, and adopted across high-value engineering workflows such as RTL design, verification, and physical implementation. 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 focus on the semiconductor vertical to deploy next-generation AI capabilities. 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 expert

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 Semiconductor customers. You will own how solutions are scoped, built, shipped, and adopted across high-value engineering workflows such as RTL design, verification, and physical implementation. 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 focus on the semiconductor vertical to deploy next-generation AI capabilities. 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 m

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 This is a founding role. As Singapore’s first Deployment Lead (DL), 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 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

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 This is a founding 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. This is not a management role, however you'll 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 Singapore. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 25-50% is required. In this role, you will: Own the technical delivery plan for multiple interdependent workstreams. Translat

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 Deployment Lead (DL), 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 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 Tokyo. We use a hybrid work mode

Work directly with clients to turn business problems into production-ready AI solutions. The Role As an AI Engineer , you’ll work directly with our clients to understand business problems and turn them into working AI solutions. Combining hands-on engineering with a consulting mindset, you’ll take ideas from initial requirements through prototyping, demonstration, iteration, and deployment. This is a client-facing, forward-deployed engineering role. You’ll work closely with business stakeholders to understand what they are trying to achieve, help shape the right solution, and then build it. You’ll need to be as comfortable discussing requirements and demonstrating a solution with business teams as you are writing Python and developing AI agents. You won’t be tied to a single technology or environment. You’ll work across different client architectures and platforms, adapting to environments such as Snowflake and Databricks and selecting the right approach for each use case. Success in your first few months will mean building strong relationships with business stakeholders and successfully delivering an AI use case from business problem through to a working solution. What You’ll Do Work directly with business stakeholders to understand their problems, uncover requirements, and translate them into practical AI solutions. Design, build, test, demonstrate, and deploy AI agents and agentic solutions that solve real business problems. Take ownership of hands-on engineering across the solution lifecycle, from rapid prototypes through iteration and deployment. Work across different client technology environments and platforms, adapting your approach to the architecture, data, and tools available. Demonstrate solutions to business stakeholders, gather feedback, and collaborate across product, data, technology, and business teams to continuously improve what you build. What We’re Looking For 2+ years of relevant software, data, or AI engineering experience, with hands-o

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. Security Engineering is paramount to the success of our business, and DoorDash Security aspires to be one the world’s most admired Security Engineering team. We are committed to building the world's most trusted on-demand, logistics engine for delivery! We're expanding our team of great minds to help us secure and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s multi-sided marketplace of consumers, merchants, and drivers. About the Role Our Proactive Security Engineering team is looking for a Staff Security Engineer, Proactive Security to execute on AI Security Product Engineering following a forward deployed engineering Pod model. You will be a part of our inclusive, collaborative forward deployed engineering team responsible for building “paved road” Security Product controls directly into our AI surfaces for our Customer, Merchant and Dasher products to ensure a safe, secure and resilient delivery network. This is not a classic Product Security role performing reviews and operating platform products, this is a forward deployed model where we operate in Pods that focus on domain code bases to build and ship AI Security Products including Hardened Product Agents, AI Guardrails, MCP Gateways and many upcoming AI Hardening initiatives. This is a US remote position reporting directly to the Manager of our Proactive Security Engineering team. You’re excited about this opportunity because you will… Co-lead the technical direction and roadmap for secure and responsible building of AI Security Products at DoorDash. Partner cross-functionally with Product Engineering, Legal, Security Engineering Platform, Data teams and XFN partners to build “paved road” proactive security controls that enable secure by design AI products into DoorDash eco-system. Examp

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. Security Engineering is paramount to the success of our business, and DoorDash Security aspires to be one the world’s most admired Security Engineering team. We are committed to building the world's most trusted on-demand, logistics engine for delivery! We're expanding our team of great minds to help us secure and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s multi-sided marketplace of consumers, merchants, and drivers. About the Role Our Proactive Security Engineering team is looking for a Staff Security Engineer, Proactive Security to execute on Dasher Security Product Engineering following a forward deployed engineering Pod model.You will be a part of our inclusive, collaborative forward deployed engineering team responsible for building “paved road” Security Product controls directly into our Dasher products to ensure a safe, secure and resilient delivery network. This is not a classic Product Security role performing reviews and operating platform products, this is a forward deployed model where we operate in Pods that focus on domain code bases to build and ship Dasher Security Products focusing on application hardening, anti-app reversing, and payment security in our global Dasher ecosystem.This is a US remote position reporting directly to the Manager of our Proactive Security Engineering team. You’re excited about this opportunity because you will… Lead the technical direction and roadmap for hardening of Dasher Security Products at DoorDash. Partner cross-functionally with Product Engineering, Legal, Security Engineering Platform, Data teams and XFN partners to build “paved road” proactive security controls that enable secure by design AI products into DoorDash eco-system. Examples of Dasher Security Products this team will focus on i