Gem

Talent engagement platform

Hiring — 1 openYC-S17B2B -> Recruiting and TalentGrowthBootstrapped

What Gem does

Gem’s talent engagement platform helps recruiting teams use data and automation to improve hiring speed, quality, and diversity. Gem unifies data and context from the tools recruiters use every day, including email, applicant tracking systems, LinkedIn, and other social networks, to create a source of truth for all talent relationships. Armed with insights about the entire recruiting process, automation to reach out to talent at scale, and true cross-functional collaboration tools, TA teams can proactively and strategically plan for what’s ahead. Gem's customers are savvy recruiting teams from industry-leading companies — like Wayfair, Dropbox, Nasdaq, Cisco, and Doordash — who understand that hiring the best talent in the market is key to maintaining their competitive advantage.

1 open role

AI Product Engineer (San Francisco)
San Francisco, CA, USFull-time3+ years$150K - $260KVisa: Will sponsor
What the role involves

Role Details Location: San Francisco, CA. This role is based out of our San Francisco HQ and is not eligible for full-time remote work. Compensation: The annual salary range for this position is $150,000–$260,000 based on level in addition to equity & benefits. The range displayed on this job posting reflects the minimum and maximum compensation. Factors including location, level, job-related knowledge, skills, and experience will determine compensation. Join Gem and Transform Recruiting with AI At Gem, we're revolutionizing the recruiting industry with AI-first solutions that help companies find the right talent faster. We're looking for an Applied AI Engineer who's passionate about building practical, impactful AI features while also contributing to our full product stack. This is a chance to apply cutting-edge AI technologies to solve real business problems at a company that thousands of recruiters rely on every day. About Gem Gem helps talent acquisition teams hire with remarkable speed and efficiency through strategic, data-driven recruiting. With Gem, teams can automate and personalize candidate communication, unify all recruiting touch points into a single system, and get usable data across the entire hiring process. Gem gives every part of the organization the tools to drive results and showcase their impact. It's why users recognize Gem as one of the highest-satisfaction products on G2 with a 4.8/5.0 rating. Over 1200 industry leaders including Reddit, Figma, CarMax, Robinhood, and UnitedHealth Group trust Gem to fuel their growth. The company has raised $148M from renown investors including Accel, Greylock, ICONIQ, Sapphire, and Meritech. And 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 2024 Great Place to Work Certified, 2024 - And we landed at number #13! Fortune Best Workplaces for Millennials, 2023 Role Overview As an AI Product Engineer at Gem, you'll build AI features that directly impact how companies find and hire talent. You'll work on challenges like: Creating intelligent search and matching systems that surface the perfect candidates from massive talent pools Building AI products that help recruiters create engaging messages and identify promising candidates Implementing systems that automatically extract insights from candidate profiles Designing delightful experiences that make AI accessible and valuable to recruiting teams You'll own these features end-to-end, from conceptualization and prototype to production deployment and iteration. What You'll Do Build products powered by LLMs: Design and implement features that integrate AI capabilities into our product, working across the entire stack from backend to frontend Develop and optimize intelligent search: Create advanced algorithms for query understanding, result ranking, and candidate recommendations Ship rapidly and iterate quickly: Take new AI features from concept to production, gathering user feedback and continuously improving Mentor team members: Share AI expertise with colleagues and help establish best practices (depending on experience level) Work from our San Francisco office: Collaborate in-person with product managers, designers, and other engineers to create cohesive user experiences About You You have experience applying AI/ML in production environments, especially with LLMs You have hands-on experience with search systems and understand how to optimize relevance and ranking You have knowledge of vector databases and embedding models for AI applications You're familiar with RAG architectures (Retrieval-Augmented Generation) and their implementation You're pragmatic about AI implementation, finding the right balance between cutting-edge techniques and practical solutions You're excited about iterative development and continuously improving based on user f

Machine LearningSearchPrompt Engineering

Roles are as last read from the company’s own listings. Openings close without notice — check the date on the listing before you spend an evening on the application.

Who runs it

Sachin Sharma

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Questions and experiences

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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.

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