Founding Member of Technical Staff

About the role

Tenera is a human behavior simulation lab delivering decision intelligence for software, predicting how users will react to product changes before launch.

Why join us

• Simulation engine for product teams, predicting user reactions to features, flows, and campaigns
• Builds decision intelligence for software, grounding AI personas in real user behavior and context
• Backed by a16z speedrun SR007 accelerator, focused on next-generation AI decision tooling
• Early-stage founder-led team in San Francisco, engineers collaborate directly with users on decisions

Responsibilities

• Build and own the harness loop, our system of evals, tests, and quality gates that lets agents ship code into the product without breaking it. This is the single most important thing you'll do here
• Orchestrate multiple coding agents in parallel, managing worktrees, concurrency, state, and shared context so agents can ship simultaneously without stepping on each other
• Ship full-stack features across our TypeScript and React frontend and Postgres backend
• Own the architecture decisions that matter: schema design, performance, system tradeoffs
• Develop async Python workers for enrichment, scoring, and heavy compute
• Talk directly with customers. Scope problems, gather feedback, communicate tradeoffs clearly. We encourage our engineers to be in the room with users, not behind them
• Improve our core models and pipelines over time as we learn from real-world usage
• Set the bar for code quality, testing, and engineering practices across the team

Qualifications

• 3+ years shipping production full-stack apps, with strong command of Next.js, React, and TypeScript
• Strong PostgreSQL and Prisma (or similar ORM). Bonus points for pgvector or vector database experience
• Comfortable writing async Python workers (Modal, Temporal, Celery, or similar)
• Hands-on experience orchestrating multiple coding agents in parallel. You're fluent with git worktrees, isolated workspaces, and managing agent state across concurrent tasks
• Hands-on LLM infrastructure experience: RAG, prompt orchestration, tracing
• QA-driven development habit. You test what you ship
• A track record of working directly with customers. Not just shipping for them, but communicating with them well: scoping problems, explaining tradeoffs, building trust
• Above-average product taste. You know what good looks like
• Proactively study the latest AI and engineering frameworks. You're already playing with what dropped last week
• Love building cool stuff
• Proactive and high agency. You see gaps and fill them
• Push back thoughtfully, and align once a direction is set
• Customer-obsessed. You want to talk to users
• Appropriate ego, good vibes. Confident without being a pain
• The highest standard. You sweat the details others miss
• Wears multiple hats autonomously. You move between product, infrastructure, customers, and deep technical work without missing a beat

Pay

$137K/yr - $150K/yr