Technical Lead Manager

What You Will Do

• Architect Stateful Agent Loops: Design and implement highly reliable, multi-turn agentic planning and execution state machines capable of self-correction, tool orchestration, and long-context memory persistence.
• Build Secure Execution Sandboxes: Own the runtime execution layer where model-generated code (such as Python data-analysis scripts) is safely isolated, monitored, and run in real-time without compromising enterprise security boundaries.
• Pioneer Tool Orchestration & MCP: Expand our agent capabilities by designing composable tool-calling integrations using Model Context Protocol (MCP) and custom API interfaces.
• Build Evaluation & Trajectory Testing Harnesses: Establish programmatic frameworks (using LLM-as-a-judge and trajectory evaluations) to test if agent loops, tool-calling selections, and error recoveries behave safely and deterministically.
• Scale High-Performance Systems: Work on deep systems problems including latency optimization, semantic caching, speculative execution, and streaming intermediate agent states for a responsive user experience.
• Scale the Team: Bootstrap, hire, and mentor a small, elite, high-velocity team of software and AI engineers.

Our Technical Stack

Orchestration & Frameworks: LangGraph, LangChain, Python (FastAPI/Django), Node.js, Next.js. Infrastructure & Security: Secure sandboxed runtimes (Docker, gVisor, WebAssembly), GCP, AWS, Kubernetes, Cloud SQL (PostgreSQL, TimescaleDB), Redis, Pub/Sub. AI & Models: Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines. Standards: Model Context Protocol (MCP) tool schemas and APIs.

About You

• 8+ Years of Professional Engineering Experience: A strong, proven background in software engineering, with significant tenure building and scaling backend systems, infrastructure, or platform services.
• Active LLM & Agentic Engineering Experience: Practical, hands-on experience building production-grade LLM applications, multi-agent workflows (using DAGs or state machines), or tool-calling executors.
• Systems & Infrastructure Rigor: Deep familiarity with building secure sandboxed runtimes, container isolation, API platforms, caching strategies, or high-throughput real-time data streaming.
• Small-Team Leadership Experience: Proven track record of mentoring senior engineers, driving technical design reviews, and leading high-velocity squads as a Tech Lead, TLM, or hands-on EM.
• An Active Builder: You love writing code. You are excited about the prospect of coding daily and staying out of the meetings and administrative bloat of traditional big-tech management.
• Educational Background: BS, MS, or Ph.D. in Computer Science, Computer Engineering, or a highly quantitative field.

Compensation

The base salary range for this role is $230,000 to $270,000 + bonus, equity, and benefits. The actual pay may vary based on factors such as location, experience, and skills.

US Benefits

• Flexible PTO
• Comprehensive medical, dental, and vision insurance
• 401(k) with Matching
• Parental Leave & Fertility Benefits
• Therapy Sessions Covered (10 free sessions)
• Wellness Stipend
• Lunch credit when in the office