Engineering Manager: Core Product Engineering (AI/LLM)

Theory Ventures

San Francisco, Northern (CA, KY)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Competitive salary & equity
Health, dental, and vision coverage
401(k) plan and disability insurance
Flexible time off
Daily meals in office

Job summary

BackOps in San Francisco is seeking an Engineering Manager for Core Product Engineering to lead a team of product engineers building the reusable workflow automations that power customer operations.

You will own the product evolution end-to-end, partner with Product and Design, and shape how AI agents are built and deployed, while maintaining reliability and fast iteration in a hybrid work environment.

Qualifications

  • 5+ years managing engineers with strong hands-on background.
  • Deep grounding in software fundamentals: system design, code quality, testing, and release practice.
  • Track record of shipping quality software predictably.
  • Strong product and design instincts with opinions in design reviews.
  • Experience building with AI agents in production and measuring success.

Responsibilities

  • Hire, lead, mentor, and grow a high-performing team of product engineers.
  • Own the evolution of BackOps core product end-to-end.
  • Oversee the software development lifecycle: architecture, design, code review, testing, release, and post-production.
  • Drive predictable delivery and raise engineering quality.
  • Collaborate with Product and Design and engage with customers.
  • Guide AI agents development and team fluency with AI tooling.
  • Champion reliability, safety, and performance in live environments.

Skills

Engineering leadership
System design
Code quality
Testing
Release practice
AI/LLMs in production
Product and design collaboration
Customer collaboration
Hands-on coding
Communication
Coding agents

Tools

Claude Code
Cursor
Copilot
Codex

Job description

BackOps in San Francisco is seeking an Engineering Manager for Core Product Engineering to lead a team of product engineers building the reusable workflow automations that power customer operations.

You will own the product evolution end-to-end, partner with Product and Design, and shape how AI agents are built and deployed, while maintaining reliability and fast iteration in a hybrid work environment.

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