Instabase

Technical Lead Manager

Instabase$230K — $270K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in professional engineering, focusing on building backend systems, infrastructure, or platform services.
  • Experience in developing production-grade LLM applications or multi-agent workflows.
  • Strong understanding of secure sandboxed runtimes and high-throughput real-time data streaming.
  • Demonstrated capability in leading small teams and mentoring senior engineers.
  • Passionate about hands-on coding and engineering work, minimizing administrative overhead.
  • Degree in Computer Science, Computer Engineering, or similar quantitative field.

Responsibilities

  • Architect stateful agent loops for reliable multi-turn planning and execution.
  • Build secure execution sandboxes for isolated, real-time code monitoring.
  • Pioneer tool orchestration and integration with the Model Context Protocol.
  • Establish evaluation frameworks for testing agent behavior and safety.
  • Scale high-performance systems, addressing latency, caching, and user experience.
  • Recruit, mentor, and lead a tight-knit team of elite AI engineers.

Benefits

  • Flexible PTO policy emphasizing work-life balance.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan with company matching for future security.
  • Parental leave and fertility assistance to support family growth.
  • Mental health support with covered therapy sessions.
  • Wellness stipend for health-related expenses.
  • Lunch credits when working in the office.
Full Job Description
Technical Lead Manager (TLM) - AI Systems & Agents
The Role: Player-Coach Leadership

This is an high-impact, low-bureaucracy role designed for a world-class systems engineer and builder. We keep our teams intentionally lean and fast. You will serve as a Player-Coach leading a tight, elite squad of 3 to 5 AI systems engineers.

At Instabase, we believe managers of small teams should stay close to the metal. Your time will be split:
  • 60% to 70% Hands-on Engineering: Actively designing multi-turn agent loops, writing production code, building secure sandboxing environments, and architecting systems.
  • 30% to 40% Leadership & Mentorship: Recruiting top-tier talent, mentoring engineers, reviewing PRs, and aligning product roadmaps with technical execution.
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, Go/Python, React, Node, 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 $230,00 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: Because life is better when you actually live it!
  • Comprehensive Coverage: Top-notch medical, dental, and vision insurance.
  • 401(k) with Matching: We've got your back for a secure future.
  • Parental Leave & Fertility Benefits: Supporting you in growing your family, your way.
  • Therapy Sessions Covered: Mental health matters- 10 free sessions through Samata Health.
  • Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.
  • Lunch on Us: Enjoy a lunch credit when you're in the office.

#Li-Hybrid

About Instabase

Instabase is a platform for building customizable business applications. The platform provides a suite of tools for data processing, automation, and analytics, enabling companies to streamline their workflows and improve productivity. Instabase's technology leverages machine learning, natural language processing, and computer vision to automate repetitive tasks and extract insights from unstructured data. The company was founded in 2015 and is headquartered in San Francisco, California.
Learn more about Instabase
Size
200 employees
Industry
Founded
2015

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