Founding Member of Technical Staff
About The Position
Tenera is building a product decision layer for agents and people using simulated users. Its product helps teams validate software throughout the development lifecycle by grounding AI personas in real user behavior and business context, then testing their product decisions. The company is a small, ambitious team hiring its first engineer, with co-founders who have built products at Amazon, Nvidia, and Uber and studied at Stanford and Carnegie Mellon. As Tenera’s first Member of Technical Staff, you will work directly with the founders and own features end to end across agent infrastructure, backend systems, and frontend product experiences. You will help establish technical direction, architecture, and engineering culture. The role calls for someone who can use and orchestrate coding agents while also making sound technical decisions about databases, systems, performance, infrastructure, and product-critical engineering. You will move between product thinking, customer conversations, infrastructure, frontend and backend development, and technical architecture. The role is full-time and in person at Tenera’s San Francisco office five days a week. Relocation is possible for the right candidate. Compensation includes meaningful equity.
Requirements
- At least 3 years of experience shipping production full-stack applications.
- Strong experience with Next.js, React, and TypeScript.
- Strong PostgreSQL experience, ideally with Prisma or a similar ORM.
- Comfort building asynchronous Python workers using tools such as Modal, Temporal, Celery, or similar.
- Hands-on experience using and orchestrating coding agents in real engineering workflows.
- Familiarity with Git worktrees, isolated development environments, and parallelized agent workflows.
- Experience with LLM infrastructure, including RAG, prompt orchestration, tracing, or evaluation.
- A QA-driven development approach, including testing what you ship.
- Experience working directly with customers and communicating technical tradeoffs clearly.
- Strong product taste and high quality standards.
- Curiosity about recent AI and engineering tools.
- High agency and initiative, comfort taking ownership, and ability to work through ambiguity.
- Ability to work across product, engineering, infrastructure, and customer-facing responsibilities.
Nice To Haves
- Experience with pgvector or other vector databases.
Responsibilities
- Build and own the harness loop, including evaluations, tests, and quality gates that allow agents to ship safely into production.
- Orchestrate multiple coding agents in parallel using worktrees, isolated environments, shared context, and strong review practices.
- Ship full-stack features across the TypeScript, React, and Next.js frontend and the Postgres backend.
- Own architecture decisions involving schema design, performance, reliability, and system tradeoffs.
- Build asynchronous Python workers for enrichment, scoring, and compute-intensive workflows.
- Work directly with customers to scope problems, gather feedback, explain tradeoffs, and build trust.
- Improve AI models, pipelines, and agent workflows based on real-world usage.
- Establish a high bar for code quality, testing, engineering process, and product taste.
Benefits
- Meaningful equity.
- Relocation is available for the right candidate.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
