About the company
Speakeasy is building the Enterprise AI Control Plane, helping organizations securely connect AI systems to their APIs, tools, and internal infrastructure. Customers include Mistral, Verizon, Cisco, Vercel, Redis, Glean, LaunchDarkly, PlanetScale, and Docusign. Backed by Google Ventures, FPV, and Quiet Capital.
Responsibilities
- 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
- 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
- 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
- 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
- Write production-quality code when needed
- Build internal tooling and deployment accelerators
- Create reference implementations and demos
- Prototype new product ideas alongside customers
Requirements
- 5+ years of software engineering experience
- Built or deployed APIs, developer platforms, infrastructure products, or security systems
- Experience working directly with customers in technical environments
- Ability to quickly understand unfamiliar systems and navigate ambiguity
- Enjoy solving open-ended problems with incomplete information
- Strong communication skills and ability to 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
Conditions
- Based in San Francisco (office)
- Highly technical team across San Francisco and London
- Work at the intersection of AI, infrastructure, security, developer platforms, and enterprise software