> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Forward Deployed Engineer Canonical URL: https://nextmove.md/fde/jobs/ae46d65995194b89 Speakeasy posts a FDE role to integrate and configure the product in San Francisco, CA, at $180,000–$230,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Forward Deployed Engineers bridge customers, product, and engineering across technical sales, deployment, and production adoption of Speakeasy’s AI Control Plane. Read from the employer’s posting on November 8, 2026. - [Speakeasy](https://nextmove.md/fde/companies/speakeasy) Posted Mar 5, 2026 by Speakeasy · open on Ashby as of Nov 8, 2026 **$180,000–$230,000** + equity San Francisco, CA On-site Full-time Forward Deployed Engineers bridge customers, product, and engineering across technical sales, deployment, and production adoption of Speakeasy’s AI Control Plane. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fae46d65995194b89&placement=top) - [View posting at Speakeasy](https://jobs.ashbyhq.com/Speakeasy/def210b2-b6aa-421b-84c4-dcd278f95db9/application) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $180K–$230K Above the median Midpoint $205K · median $190K This job $180K to $230K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Integrates and configures it Balance **Mostly building** Project stages 1. Pre-sales 2. Proof of concept 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **5+ years** software engineering experience Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 5+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in San Francisco, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: San Francisco, CA - **Work arrangement**: On-site - **Employment type**: Full-time - **Pay**: ## More like this [Perplexity](https://nextmove.md/fde/companies/perplexity) ### [Applied AI Architect, Perplexity Computer](https://nextmove.md/fde/jobs/0286143cb6cbd380) San Francisco, CA 2mo ago $200,000–$250,000 [Bunkerhill Health](https://nextmove.md/fde/companies/bunkerhill-health) ### [Forward Deployed Product Lead](https://nextmove.md/fde/jobs/b3123ef7adc7a284) San Francisco, CA · New York, NY On-site 6w ago $185,000–$245,000 [CoreWeave](https://nextmove.md/fde/companies/coreweave) ### [Senior Specialist Field Engineer - SaaS](https://nextmove.md/fde/jobs/c383682d25fbd0ee) Sunnyvale, CA · San Francisco, CA 2mo ago $182,000–$242,000 ## The job description from Speakeasy Posted by Speakeasy on Mar 5, 2026 ### About Speakeasy AI is moving from chat interfaces to operational systems. Across enterprises, AI agents are connecting to internal systems, using APIs, accessing data, and taking actions on behalf of employees. But while AI adoption is accelerating, governance, visibility, and control have not kept pace. Speakeasy is building the Enterprise AI Control Plane. We help organizations securely connect AI systems to their APIs, tools, and internal infrastructure while providing the identity, governance, permissions, auditability, and observability required to operate AI at scale. Our customers include companies like Mistral, Verizon, Cisco, Vercel, Redis, Glean, LaunchDarkly, PlanetScale, and Docusign. We are backed by Google Ventures, FPV, and Quiet Capital. Today, hundreds of companies rely on Speakeasy infrastructure across API platforms, MCP deployments, and enterprise AI systems. We’re a highly technical team based across San Francisco and London, building at the intersection of AI, infrastructure, security, developer platforms, and enterprise software. ### The Role Forward Deployed Engineers sit at the center of our customers, product, and engineering teams. You will work directly with engineering leaders, platform teams, security teams, and AI initiatives at some of the most sophisticated companies deploying AI today. This is not a traditional solutions engineering role. You’ll operate across pre-sales, deployment, product feedback, and engineering, acting as the technical bridge between our customers and our platform. You will partner closely with customers from initial evaluation through production deployment. You’ll lead technical discovery, design integrations, solve architecture challenges, build proofs-of-concept, influence product direction, and help define how enterprises securely adopt AI agents and MCP infrastructure. One week you may be helping a customer connect internal APIs to AI systems. The next week you may be designing access control models, debugging identity flows, implementing MCP governance, or working with our product team on entirely new capabilities driven by customer feedback. You will often be the technical face of Speakeasy and one of the first people customers trust with mission-critical AI initiatives. ### What You’ll Do ### Drive Technical Sales - Partner with Account Executives on strategic customer opportunities - Lead technical discovery and architecture conversations with prospective customers - Design and deliver demos, proofs-of-concept, and pilot implementations - Help customers evaluate how Speakeasy fits into their AI, security, and infrastructure strategy - Translate customer requirements into deployment plans and product feedback - Serve as the technical owner for complex opportunities from evaluation through production rollout ### Deploy and Integrate - Lead customer implementations of the Speakeasy AI Control Plane - Design integrations with APIs, MCP servers, SaaS platforms, identity providers, and internal systems - Build prototypes, proofs-of-concept, and deployment architectures - Troubleshoot complex technical issues across customer environments ### Partner With Customers - Act as a trusted technical advisor to engineering, platform, security, and AI teams - Translate customer requirements into technical solutions - Guide customers through architecture decisions and implementation tradeoffs - Drive successful production rollouts and long-term adoption - Build strong relationships with engineering leaders, platform teams, security teams, and AI stakeholders ### Shape the Product - Identify patterns across customer deployments - Influence product roadmap and prioritization - Work directly with engineering to improve platform capabilities - Create reusable deployment patterns, documentation, and best practices ### Build - Write production-quality code when needed - Build internal tooling and deployment accelerators - Create reference implementations and demos - Prototype new product ideas alongside customers ### Who You Are Successful candidates often come from backgrounds such as: - Founding Engineer - Forward Deployed Engineer - Solutions Engineer - Platform Engineer - Infrastructure Engineer - Technical Founder You are comfortable moving between code, architecture discussions, customer conversations, and product strategy. ### We are particularly excited if you: - Have 5+ years of software engineering experience - Have built or deployed APIs, developer platforms, infrastructure products, or security systems - Have experience working directly with customers in technical environments - Can quickly understand unfamiliar systems and navigate ambiguity - Enjoy solving open-ended problems with incomplete information - Have strong communication skills and can explain complex technical concepts clearly - Care deeply about customer outcomes ### Bonus Points - AI agent, MCP, or LLM application experience - Identity and access management experience - Security, governance, or compliance background - Experience with enterprise software deployments - Startup or founding-team experience ### What Success Looks Like Within your first 6 months, you will: - Become a trusted technical advisor to both prospective and existing customers - Independently lead technical evaluations, pilots, and enterprise deployments - Help customers securely deploy AI agents, MCP servers, and internal tools at scale - Identify product gaps and influence the roadmap through direct customer engagement - Establish best practices for enterprise AI governance and agent infrastructure - Drive meaningful customer outcomes that directly impact company growth and adoption ### Why Speakeasy We’re building infrastructure for one of the most important transitions happening in software. As AI systems evolve from chat interfaces into operational agents, every company will need governance, visibility, identity, and control over how those systems interact with the world. We believe the Enterprise AI Control Plane becomes a foundational layer of modern infrastructure. Joining now means helping define that category from the beginning. ### Compensation & Benefits - $180,000-$230,000 base salary + meaningful equity - Medical, dental, and vision coverage - 401(k) - Flexible PTO - Regular company offsites - Offices in San Francisco and London - Small team, high ownership, significant impact [View posting at Speakeasy](https://jobs.ashbyhq.com/Speakeasy/def210b2-b6aa-421b-84c4-dcd278f95db9/application) ## About Speakeasy OpenAPI-native platform that generates and manages SDKs, Terraform providers, docs, CLIs, and MCP servers so API teams ship better developer experiences faster. Series A · 10–50 people ## Similar jobs [Glean](https://nextmove.md/fde/companies/glean) ### [Partner Solutions Engineer](https://nextmove.md/fde/jobs/42c89791e06624ee) San Francisco, CA Hybrid 2mo ago $200,000–$250,000 [Figma](https://nextmove.md/fde/companies/figma) ### [Field Engineer](https://nextmove.md/fde/jobs/920ea649ea394e40) San Francisco, CA · New York, NY Remote 2mo ago $140,000–$296,000 [Liberate](https://nextmove.md/fde/companies/liberate) ### [Senior AI Agent Engineer](https://nextmove.md/fde/jobs/6616645944655d3e) Boston, MA · San Francisco, CA Hybrid 5mo ago $120,000–$210,000 [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [Senior Solutions Architect, NVIDIA Cloud Partners](https://nextmove.md/fde/jobs/7701d9b6b18c7976) Santa Clara, CA Remote 2mo ago $184,000–$287,500 [Knightscope](https://nextmove.md/fde/companies/knightscope) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/4bc5e23e28388fe0) Sunnyvale, CA On-site 2w ago $130,000–$170,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area) - [Similar jobs that integrate and configure the product](https://nextmove.md/fde/jobs?role=technical-delivery) Hiring at Speakeasy and want this page changed or removed? 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