Engineering Manager (AI Products)
AI in this role
Role Details
- Location: This role is based 3 days per week out of our San Francisco, HQ and is not eligible for full-time remote work.
- Compensation: The annual cash compensation range for this position is $242,000–$262,000 in addition to equity & benefits.
The range displayed on this job posting reflects the minimum and maximum compensation. Factors including level, job-related knowledge, skills, and experience will determine compensation.
About Gem
Gem is the only AI-first all-in-one recruiting platform. It brings together your ATS, CRM, sourcing, scheduling, and analytics — plus 800+ million profiles to source from — with AI built into every workflow. By eliminating the headaches of juggling multiple tools, Gem helps customers boost recruiter productivity by up to 5x while saving 30-50% on technology costs. Over 1,000 organizations — from startups to industry leaders like Zillow, DoorDash, and Asana — trust Gem to fuel their growth. With an industry-leading 4.8/5 rating on G2, Gem is the platform recruiters actually love to use. Gem has raised $148M from renown investors including Accel, Greylock, ICONIQ, Sapphire, and Meritech.With Gem, you can experience the power of a truly connected recruiting platform — one consistent interface, unified data, smarter AI recommendations, and simplified permissions. Our customers achieve remarkable results.
Just as we strive to help our customers find great talent, we also invest in our own people and culture. We are proud of the culture we’ve built and have recently been recognized as:
- Forbes America's Best Startup Employers 2026
- Great Place to Work Certified, 2024
- Fortune Best Workplaces for Millennials, 2023
The Team and Role
We’re hiring an Engineering Manager to lead our AI Products engineering team.
The AI Products team owns the AI agents and intelligence layer powering Gem’s top-of-funnel products including sourcing, application review, and outbound campaigns.
The team is responsible for building AI-powered experiences, as well as defining how we measure, evaluate, and improve model quality in production.
More about us:
- Gem engineers and engineering managers work closely with product managers and designers on product direction and roadmap.
- We stay close to customers by joining customer calls, and reading customer feedback.
- We enjoy shipping features, moving fast, and being scrappy.
- We are receptive to feedback and continuously work on improving both our product and our craft.
- We work out of our San Francisco office.
- Read more about our company values.
What You’ll Do Day-to-Day
- Lead, mentor and grow a team of fullstack and AI engineers building AI-powered product experiences
- Set direction and guide technical strategy.
- Partner with Product and Design to define the AI roadmap and experimentation strategy
- Own AI quality end-to-end
- Balance rapid experimentation with production-grade reliability
- Embody Gem’s company values of ownership, velocity, customer centricity, diversity and transparency.
- Engage with customers to understand how AI performance translates to business impact
About You
- You have hired and managed exceptional engineering teams
- You have at least 5+ years of industry experience as a software engineer
- You have experience leading AI-powered product initiatives from prototype to production
- You care deeply about quality and understand how to build effective evaluation frameworks
- You are comfortable operating in ambiguity and bringing structure to complex technical problems
- You collaborate effectively with product managers and designers to shape roadmap and technical direction
- You demonstrate strong ownership and accountability for outcomes
#LI-MF1
How we score this
Engineering Manager (AI Products) at Gem scores 21 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
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- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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