Early Access Deployment Engineer in New York

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 Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in New York. 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 technical delivery across multiple deployments from first prototype to stable production 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 Scope work, sequence delivery, and remove blockers early 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 that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or c

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role This role is based in New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. This role sits on Notion’s Creative Studio, a small team of designers, illustrators, and filmmakers. Our work tells the story of our offering in a way that reflects the products themselves: smart, refined, and with a dash of wit on the side. As a Brand Designer, you’ll work on high-impact brand initiatives and campaigns: setting direction from early strategy through final execution, partnering closely with stakeholders and executives, and raising the bar for craft and systems. You’ll be asked to define approaches, resolve ambiguity, and influence both project outcomes and how the team works. What You'll Achieve Concept, art direct and design high-visibility moments from brand campaigns, product launches, and events, developing approaches that can scale across a broad range of surfaces, moments, and channels. Contribute to our brand systems and develop standa

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting edge strategies and deep insights to unlock opportunities for long term wealth creation. Our talented, global teams bring expertise that is both broad and unique. From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success. Head of Franklin Crypto Capital Formation The Head of Franklin Crypto Capital Formation function is dedicated to growing the firm’s investor base, driving capital formation and fostering robust, transparent, productive relationships with our investors. Our mission is to ensure that our Limited Partners (LPs) and other stakeholders, including the global distribution teams, are well-informed, engaged, and confident in their investments with Franklin Crypto. The team works collaboratively with the division’s leadership, investment professionals, global distribution team and external stakeholders to ensure a cohesive and effective investor relations strategy, one anchored in best-in-class client experience. Our firm executes a diverse array of scalable, institutional investment strategies spanning open- and closed-end funds, including hedge funds, venture and private credit funds, across seed stage, early venture stage, and public crypto token and equity investing. The Capital Formation function serves to (a) lead capital formation across our full platform of cryptonative open- and closed-end funds, hedge funds, venture and private credit funds sourcing commitments from both c

As a Forward Deployed Engineer on the Feature Flags team, you'll partner directly with customers to accelerate their feature flag implementations — from initial architecture consulting through prototype builds to full-scale migrations. This role is for someone who wants to write code with customers, not just advise them. You'll work hands-on inside customer codebases to unblock complex, high-stakes deployments, directly influencing deal velocity and customer success. Working closely with Sales, Solutions, and Engineering, you'll be the technical force that turns a signed contract into a live, adopted implementation. What You'll Do: Serve as the hands-on technical partner for strategic customers implementing Datadog Feature Flags, from pre-sales technical validation through post-sales delivery Consult on flag architecture and implementation approach for complex environments — multi-service, multi-platform, high-scale deployments Build prototype flag implementations directly in customer codebases to prove value and de-risk technical decisions early in the sales cycle Implement flags across diverse and advanced deployment modes (server-side, client-side, edge, mobile, streaming/real-time) tailored to each customer's stack Drive full flag migrations to completion — including legacy system cutover — efficiently and with minimal customer engineering burden Identify patterns across customer implementations and feed them back to Product and Engineering to improve the core product and reduce future implementation time Collaborate closely with Engineering on technical edge cases, product gaps, and implementation tooling Partner with Sales and Solutions to accelerate deal cycles by removing technical risk and uncertainty Who You Are: 5 years of professional software engineering experience, with hands-on coding ability across the stack you're deployed into Experience with feature flagging, experimentation, or config management systems (internal or vendor) Comfortable dropping i

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. Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data. We’re looking for an Implementation Engineer to help enterprise customers successfully deploy, configure, and operationalize Observe. This is a hands-on, post-sales technical role focused on delivering strong first outcomes, accelerating time-to-value, and establishing a solid foundation for long-term customer success. Implementation Engineers are deeply technical, customer-facing practitioners who work closely with customer platform, SRE, DevOps, and application teams during onboarding and early adoption. In this role, you’ll translate existing observability architectures (including OpenTelemetry-based pipelines, Splunk, ELK, and other monitoring solutions) into scalable, production-ready implementations on Observe—using best practices while balancing speed, quality, and customer enablement. Implementation Engineers focus on initia

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 We are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You’ll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps. RESPONSIBILITIES Help build the foundation and processes for customer-facing teams at Baseten Lead, negotiate, and execute new sales opportunities for Baseten In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets Establish and maintain relationships with key stakeholders within sales accounts Work cross-functionally to improve the customer experience and ensure sales effectiveness REQUIREMENTS 1-3 years of sales experience in a SaaS business Experience in selling to technical audiences Experience with developer/machine-learning tooling preferred, but not required Proven ability to close complex sales cycles Proficiency with sales and marketing automation tools Interest in working at an early-stage, fast-paced startup BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Flexible PTO policy including company wid

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 We are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You’ll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps. RESPONSIBILITIES Help build the foundation and processes for customer-facing teams at Baseten Lead, negotiate, and execute new sales opportunities for Baseten In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets Establish and maintain relationships with key stakeholders within sales accounts Work cross-functionally to improve the customer experience and ensure sales effectiveness REQUIREMENTS 5+ years of sales experience in a SaaS business Experience in selling to technical audiences Experience with developer/machine-learning tooling preferred, but not required Proven ability to close complex sales cycles Proficiency with sales and marketing automation tools Interest in working at an early-stage, fast-paced startup BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Flexible PTO policy including company wide

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our New Business team at Plaid combines deep product and industry knowledge and is focused on bringing Plaid to the world’s largest and most complex enterprises. Our thesis is that every major enterprise can benefit from better financial technology, and that many industries that don't currently consider themselves to be fintechs actually are. You'll be the one helping us achieve this vision at scale. As an Enterprise Business Development Representative, you'll forge the path to finding new enterprise clients and strategically prospecting Fortune 500 and high-growth market leaders. We are looking for extraordinary sales professionals with SaaS/tech outbounding experience who can navigate complex organizations, map multiple stakeholders, and demonstrate the profound impact Plaid can have on enterprise ecosystems. In this role, you will be responsible for strategic account mapping, executive-level prospecting, driving deep engagement, and nurturing early-stage enterprise opportunities for our Enterprise Account Executives. The ideal candidate is customer-centric, resilient, intellectually curious, and adept at challenging the status quo within large organizations. Responsibilities Strategic Pipeline Ar

Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds the foundations for agentic systems capable of operating at scale in complex production environments. Current bets span agents that run autonomously at scale, context and memory layers that make those agents more intelligent over time, and tools that help customers build and validate AI-native services in production. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists focused on building the foundations for agents operating at scale Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality Navigate the unique challenges of shipping AI-powered products: balancing quali

We are looking for a talented engineer to lead evaluation of startup acquisition opportunities in the AI, cloud and security space. You will drive product evaluations, prepare and manage technical architecture discussions with target groups in Product and Engineering and provide roadmap suggestions for M&A and investments for Datadog. You will be a key partner to Datadog’s C-level leadership and highly visible at the most senior levels of Datadog. The role is reporting into the Senior Director of Product Strategy and falls within the Product organization. We are looking for an innovative and strategic thinker who is passionate about the latest tech being developed by startups in the cloud, AI and security space. The ideal candidate enjoys researching and evaluating new technologies, works effectively with cross-functional teams, and communicates opinions concisely to our leadership team. Broad understanding of relevant Cloud Technologies and deep understanding of the full coverage of Datadogs current offerings is necessary. The Corporate Development team is small and values authentic, strong-willed individuals who think creatively and proactively. This role leads technical due diligence from a product and architecture perspective across our acquisition pipeline. You'll scope and stand up proof-of-concept and sandbox environments to stress-test candidate products, then give an honest, unvarnished view of their quality and depth - the kind of assessment that holds up regardless of deal momentum. You'll assess technical architecture, flag the risks and open questions that matter most early, and turn that into a clear post-acquisition integration path. Working closely with engineering, you'll keep the evaluation focused on what's actually decision-relevant, then translate the findings into strategic recommendations for leadership and help carry the integration through by partnering with the right people on the other side. What You’l

The opportunity Datadog’s Infrastructure products help engineers understand and operate the systems their applications depend on. Our customers work in complex environments like Kubernetes and serverless, where infrastructure changes constantly, information is dense, and decisions about reliability, performance, and cost are closely connected. We’re looking for a Staff Product Designer to join Modern Compute, with an initial focus on Containers Autoscaling. Autoscaling helps engineering teams make better decisions about how their applications and infrastructure use resources. Designing these experiences requires making deeply technical systems understandable, helping customers act with confidence, and fitting into the tools and workflows they already use. The team is rethinking how workload and cluster autoscaling come together as a more coherent product experience. This includes how customers get started, understand recommendations, evaluate value, and safely apply changes across their environments. The work also connects to other parts of Datadog, including observability, Cloud Cost Management, permissions, and AI-assisted workflows. As a Staff Product Designer, you will help define that direction and lead the work from early problem framing through shipped product. You will partner closely with product and engineering, bring a high level of interaction and visual craft to complex workflows, and help raise the quality of design across Modern Compute. 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 help our Datadogs find a work-life rhythm that works for them. What you’ll do Lead end-to-end product design for Modern Compute, initially focused on our Autoscaling product. Help define the product direction for an area that is still evolving, from early framing and exploration through detailed design and delivery. Design clear, trustwort

About the role: Datadog is building a product-led Competitive Intelligence function to help inform product strategy, roadmap prioritization, positioning, and competitive readiness. As the Head of Competitive Intelligence you will build and lead the CompIntel function across priority competitors and adjacent market opportunities. You will translate competitor product evolution, technical capabilities, launches, pricing value, customer sentiment, analyst narratives, and ecosystem shifts into actionable insights for Product, GTM, Sales Engineering, Customer Success, Technical Advocacy, and leadership. In this highly technical, hands-on leadership role, you should understand how observability products are implemented, where workflows differ, what technical claims are credible, and how product gaps translate into customer impact. What You'll Do: Own the recurring competitive radar for Datadog’s priority competitor set, including taxonomy, source standards, evidence quality, and update cadence. Produce competitive deep dives, feature-gap analyses, early-warning briefs, and opportunity assessments tied to specific product domains and leadership questions. Translate CompIntel findings into roadmap recommendations, product differentiation hypotheses, and Product-facing decision guidance. Build and maintain a central CompIntel repository with competitor profiles, source notes, comparison frameworks, evidence logs, and decision-ready briefs. Convert validated findings into GTM-ready handoffs for battlecards, objection handling, strategic deal narratives, and field enablement. Synthesize signals from Product, Engineering, Sales Engineering, Customer Success, field teams, technical communities, Advocacy programs, win/loss, customer feedback, analyst research, public competitor materials, and CABs. Partner with Product Management to frame competitive questions, identify decision criteria, and connect findings to roadmap and prioritization discussions. Partner with Tec

At Datadog, we're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. APM at Datadog is on its way to redefine how users interact with their telemetry. We are integrating intelligence directly into troubleshooting workflows to help engineers find root causes faster, navigate complex distributed systems seamlessly, and optimize application performance with minimal cognitive load. APM provides deep visibility from end-user interactions to backend services and we are now expanding this foundation with new AI-driven insights, guidance, and automation. As a Product Manager II for APM, you will work with world-class engineers, designers, and partner product teams to shape the future of Distributed Tracing, Performance Analysis, and Intelligent Troubleshooting. You will help build advanced capabilities that scale to thousands of customers and make sophisticated observability workflows accessible to every engineer, from experts to beginners. 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 will do: Develop a deep understanding of APM customers, their performance challenges, telemetry workflows, and competitors Lead conversations with design partners and strategic customers to uncover real-world performance issues, validate product assumptions, and guide solutions from early prototypes through General Availability Define and deliver the next generation of APM features with engineering and design, especially agentic on

Datadog is seeking a highly motivated Senior Corporate Development Lead to drive our AI product strategy, build strong relationships across the founder and VC ecosystem, and support high-impact initiatives including acquisitions, venture investments, and startup partnerships. You will be part of a small, high-visibility team that reports directly to Datadog's Founder/CEO. The ideal candidate is passionate about AI and developer tools, comfortable rolling up their sleeves, and excited to operate in a fluid, technically demanding environment. You will support evaluations, source promising AI startups, collaborate closely with internal product and engineering leaders, and help position Datadog as the preferred partner for the next generation of founders. This role is ideal for someone who is hungry for increased responsibility, operates with authenticity and creativity, and prioritizes the company's interests. 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: Support Datadog's AI product strategy by analyzing emerging technologies, market opportunities, and competitive dynamics. Source high-potential AI startups for acquisition, investment, or partnership, and build a strong presence across the founder and VC ecosystem through meetups, conferences, and events. Drive workstreams across diligence, valuation, financial modeling, strategic assessment, and internal recommendations. Partner with Product and Engineering leaders to evaluate build/buy/partner opportunities aligned with Datadog's AI roadmap. Support negotiation processes, including term sheets and partnership structures, and collaborate on integration planning with cross-functional partners after deals close. Help attract early-stage AI companies into Datadog's startup program. Wh