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Technical Lead Manager
Instabase · San Francisco, United States
About The Role
Join Instabase, a pioneering company in unstructured data automation. As a Technical Lead Manager, you will lead a small, elite team of AI systems engineers, split your time between hands-on engineering and leadership, and work on cutting-edge technology that combines document understanding with secure, real-time code execution. Enjoy a range of benefits, including comprehensive health coverage, a 401(k) match, unlimited paid time off, and resources for career growth.
- Actively designing multi-turn agent loops, writing production code, building secure sandboxing environments, and architecting systems.
- Recruiting top-tier talent, mentoring engineers, reviewing PRs, and aligning product roadmaps with technical execution.
- Designing and implementing highly reliable, multi-turn agentic planning and execution state machines capable of self-correction, tool orchestration, and long-context memory persistence.
- 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
- 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
- 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
- Educational Background: BS, MS, or Ph.D. in Computer Science, Computer Engineering, or a highly quantitative field
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