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# Technical Lead

- **Company:** Technology Talent Network LLC
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $248,000.0 - $282,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Asana, Software Engineering, Large Language Models, Multi-Agent Systems, Model Validation, Reliability of Systems, Backend, Codebase
- **Published:** September 24, 2026
- **Apply:** https://startup.jobs/tech-lead-ai-teammates-asana-10164516

## About the Role

* 6+ years of software engineering experience working in large codebases, with strong backend, systems, or reliability fundamentals.
 * 2+ years leading engineering teams or serving as a technical lead, with a track record of driving technical strategy, timeline planning, and risk mitigation.
 * Experience or deep interest in Applied AI / Agentic Systems: Familiarity with agent orchestration, tool integration, model evaluation frameworks, RAG, or production LLM observability.
 * Quick learner and comfortable transitioning between different contexts and codebases, enabling you to jump in and rapidly unblock teammates facing thorny obstacles
 * Deep project management experience including high-level timeline planning, risk mitigation, stakeholder management, and coordinating the work of others
 * Passionate about mentoring engineers at all skill levels; able to identify technical growth opportunities and deliver thoughtful, candid feedback
 * Excited to be a part of an inclusive culture where everyone brings the aspects of themselves to the workplace that they need to thrive, fostering an environment of psychological safety within your team

## Description

* Set the technical strategy for the AI Teammates execution engine, tool orchestration, and platform APIs within Asana, advocating for engineering-driven investments with a vision for keeping our systems flexible, reliable, and maintainable to meet customer needs now and in the future
 * Drive the team to continually and holistically better itself, setting high standards for clean architecture, systems reliability, and evaluation methodologies while enabling the engineers around you to deliver at high velocity and grow their skills
 * Be a key collaborator with other groups across Engineering and a technical counterpart to the AI Teammates team's Engineering Manager, serving as a partner to external model providers (OpenAI, Anthropic) and representing our platform capabilities across team boundaries
 * Partner with Product Management, Design, Data Science, and User Research to deeply understand agentic work patterns, and propose elegant solutions to make AI Teammates effective and trustworthy
 * Architect and own the composable platform foundation, partnering with product engineering teams to enable them to build agentic capabilities into their domains in a self-serve manner
 * Oversee the execution of high-impact technical initiatives-from advanced proactivity and MCP integrations to model evals, latency tuning, and cost optimization-ensuring our systems scale safely with frontier LLM updates


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- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
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- [Why your codebase lies to AI?](https://www.wearedevelopers.com/videos/100281-why-your-codebase-lies-to-ai)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)

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- [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)