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AI Engineering Team Lead

Weave

San Francisco Bay Area, CA (HQ) Remote permanent

Posted: October 28, 2025

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Quick Summary

Weave's AI Engineering Team Lead is responsible for overseeing the development and implementation of AI solutions for therapeutic drug development, working closely with cross-functional teams to drive innovation and growth.

Job Description

Why Weave Exists

At Weave, our mission is to evolve how therapeutic knowledge is captured, transformed, and communicated throughout drug development. We do this by equipping human experts with AI instruments to enable drugs to be brought to patients as rapidly, safely, and inexpensively as possible.

The Weave Platform streamlines regulatory workflows from start to finish by intelligently, creatively, and effectively infusing every step with AI. Together with our customers, Weave is designing and building the AI workbench for the entire therapeutic lifecycle.

The Role & Your Mission

We’re looking for an AI Engineering Team Lead that can manage and lead our AI Engineering team. We expect you to lead the people, maintain a healthy working environment, plan long-term architecture initiatives, keep a high-bar of excellence on the team, and grow the team. The buck stops with you on decisions regarding AI architecture and personnel. You will be responsible for driving architectural direction and roadmap execution, as well as supporting the technical and personal development of the other engineers on the team. This position reports directly to the CTO.

Managers at Weave are expected to maintain hands-on capacity. Whether this is through bug fixes, pull request reviews, or healthy debate of technical decisions. We believe that managers must stay technical while staying out of the way of their engineers. Effective decision making requires technical know-how and trust from other engineers. You are the engineer that other engineers can count on; you are technical, you attack every problem with enthusiasm, and you remove hurdles.

What You'll Own

• Directly manage a growing team of 3 AI Engineers

• Hire and retain extraordinary AI Engineers

• Set the bar for engineering performance and quality standards

• Conduct performance reviews for direct reports

• Maintain a healthy, productive working environment for engineers

• Plan and execute on AI architectural investments in coordination with Product and Engineering Leadership

What You’ll Bring

• Has worked at an early-stage, product-based startup before (<50 people)

• Experience building production software with LLMs-in-the-loop

• Experience experimenting and implementing emerging frameworks, practices and standards with LLMs

• Able to move quickly on tasks while producing high-quality results

• Direct and candid with leadership, peers, and direct reports

• Experience mentoring and growing employees

• Experience as an architect - proven ability to design and implement robust and scalable systems with flexible and scalable UI that meets future needs

• Experience overseeing and managing projects across teams

• Experience working on a product in a regulated domain or where data privacy + security were essential

• Experience leading with a data-first mindset

What We Offer

🎯 The opportunity to work at a modern, cutting-edge healthcare technology company devoted to meaningful positive impact on human life. Collaboration, velocity, and customer obsession are our baseline, demonstrations of craftsmanship and ROI are celebrated.

🏆 Competitive salary ($245,000 - $275,000) and equity packages.

🧬 Comprehensive health, dental and vision insurance

🏝️ Take care of you and yours: generous PTO, parental leave, OneMedical, TalkSpace, Teladoc.

🚀 Career development opportunities within a company entering a growth phase.

🌎 This position is based in San Francisco Bay Area, CA with flexibility to occasionally work remote.

Equal Opportunity Employer: We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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