Build the core of a high-growth AI-powered recruiter marketplace, driving user behavior and engagement, and shaping the platform's direction.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Software Engineer, Marketplace Compensation: $160,000 – $275,000 + Meaningful Equity AI Recruiter Marketplace San Francisco, On-Site
About the Role:
We're building the first AI-powered recruiter marketplace—and the numbers speak for themselves: we scaled from $11M to $80M ARR in under a year, with 30% of revenue now driven by our custom AI tooling. We're backed by $65M from top-tier investors and the founders of some of the world's most iconic consumer tech companies.
Our platform connects companies with a network of specialized recruiters and AI agents that work together to fill roles faster and more accurately. The companies that used to spend months wrestling with fragmented, expensive hiring processes now do it in weeks—reliably and at scale.
This isn't a role where you wait for specs. You'll have product support and clear priorities, but the execution is yours.
What You'll Do
- Build the systems and experiences that drive both sides of our marketplace—recruiter supply and hiring manager demand
- Shape user behavior and engagement by understanding recruiter and hiring manager psychology and building for it
- Build the systems that onboard new recruiters, ramp them up fast, and maintain quality at scale
- Own payments, incentive systems, and performance tooling that help recruiters do their best work on the platform
- Ensure every open role on the platform gets the right recruiter attention—building the distribution and matching logic that makes the marketplace work
- Identify and automate manual processes that slow down recruiters, hiring managers, and internal ops
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Why This Seat
- 15 engineers, $80M ARR—your code punches well above its weight and the impact is immediate and measurable
- You're building the core of the platform, not a peripheral feature—the marketplace is what makes everything work
- Product and design support plus clear direction, without micromanagement—ship fast, see real results
- 8x revenue growth last year with serious momentum and backing from top-tier investors and operators
- Series B startup at exactly the right moment—early enough to matter, funded enough to move fast
You'll Thrive Here If You
- Have 1–6 years of experience shipping high-quality code in fast-paced environments, with a bias for action over perfection
- Are comfortable working across the full stack—frontend and backend—with a backend lean of up to 70/30 being fine
- Have worked at or are deeply familiar with marketplace companies (think Uber, Airbnb, Thumbtack, AngelList) and understand how two-sided platforms actually work
- Bring strong TypeScript and React experience and can move fast without sacrificing quality where it matters
- Are motivated by user impact and business outcomes—you get excited when something you shipped drives a real hiring result
- Hold a B.S. in Computer Science or a related technical field
Nice-to-Haves
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
- Experience at a venture-backed early-stage startup
- Degree from a top 30 CS program
- Interest in recruiting, hiring technology, or marketplace dynamics
- Familiarity with PostgreSQL or similar relational databases
What We Offer
- Competitive base salary + meaningful equity in a high-growth Series B company
- Direct influence on product direction—engineers here don't just execute, they shape what gets built
- In-person culture in our San Francisco office with a high-output, low-ego team
- Fast feedback loops—you'll see the impact of your work in real time across thousands of recruiters and hiring managers
Must-Haves (Logistics)
- Based in San Francisco or willing to relocate; on-site full-time
- B.S. in Computer Science or related technical field required
- Work authorization in the U.S. (visa sponsorship considered for exceptional candidates)
- Not a fit for those who prefer deep infrastructure-only work, over-engineering, or slow/methodical environments
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