Gem’s mission is to help companies hire great teams. Our talent engagement platform enables recruiting teams to build relationships that lead to diverse, high-quality talent pipelines, a great candidate experience, and predictable hiring at any scale. By creating a source of truth for all relationships with talent, Gem can automate personalized outreach, while also generating insights about the entire recruiting process.
Backed by Accel, Greylock and Y Combinator, Gem has gotten enormous traction since we began going to market in 2018.
Location: San Francisco, CA. This role is not eligible for full-time remote work.
Compensation: The annual salary range for this role is $215,000–$250,000 USD in addition to considerable 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.
Gem is the only AI-first all-in-one recruiting platform. Over 1000 industry leaders including Anthropic, Reddit, Figma, Zillow, Robinhood, and Doordash trust Gem to fuel their growth and recognize Gem as one of the highest-satisfaction products on G2 with a 4.8/5.0 rating. The company has raised $148M from renown investors including Accel, Greylock, ICONIQ, Sapphire, and Meritech.
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:
Lead Gem's new self-serve AI recruiting products. Work directly with a dedicated team of engineers and collaborate closely with the rest of Gem's Engineering, Product, and Design team. Build out and scale Gem's PLG motion in direct partnership with Sales, Marketing, and Partnerships.
Gem is an equal opportunity employer. We celebrate our inclusive work environment and encourage folks of all backgrounds and perspectives to apply. At Gem, we’re committed to having an inclusive and transparent environment where every voice is heard and acknowledged. We embrace our differences, and know that our diverse team is a strength that drives our success.
By clicking “Submit Application,” you acknowledge and agree that you have read and understand Gem’s Candidate Privacy Statement, including the information provided on how Gem processes your personal data and your related rights as set forth therein.
Our technology stack is configured with velocity in mind. GraphQL, AWS, and Python are just a few of the technologies we use to enable velocity. Reliability and consistency are also very important to us.
fulltimeSan Francisco, CA, USMachine learning$150K - $260K3+ years
fulltimeSan Francisco, United States$215K - $250K3+ years