Senior Engineering Manager, Handshake AI

Handshake • San Francisco, CA

4d • Onsite

About The Position

Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale. Why join Handshake now: Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others Build a massive, fast-growing business with billions in revenue About the Role The Senior Engineering Manager at Handshake AI leads a core product and platform engineering team responsible for building the systems that integrate human expertise into AI development workflows. This team owns critical infrastructure that connects talent networks, data operations, and research needs into scalable, reliable, and high-quality platforms. The role sits at the intersection of engineering, product, and operations, ensuring our systems can support rapid growth, complex workflows, and frontier AI partners. You’ll lead a team of ~9 engineers today and are expected to add leadership capacity (including managing an EM) as we scale. Location: San Francisco, CA. This is an in-office role, 5 days/week (no remote/hybrid)

Requirements

• Engineering leader + builder: 3+ years managing teams, plus 5+ years hands-on engineering experience
• Strong people leadership: experience leading senior engineers; managing an EM (or equivalent scope) is a plus
• Execution in ambiguity: proven ability to align cross-functionally and deliver in fast-moving, unclear problem spaces
• Systems + product mindset: strong platform/distributed systems background, and the ability to turn research/ops needs into a clear roadmap, ship iteratively, and measure outcomes

Nice To Haves

• Experience with RL training infrastructure, simulation systems, or evaluation platforms
• Human-in-the-loop systems (annotation, rubric tooling, QA pipelines, workflow platforms)
• Operations-heavy, tech-enabled environment experience
• Experience building systems used by applied ML or AI research teams

Responsibilities

• Lead, hire, and develop a high-performing engineering team building core product and platform infrastructure
• Own roadmap and execution in close partnership with Product, Research, and Operations
• Drive architecture and technical strategy for scalable, reliable, and extensible systems
• Build modular platforms that enable new domains, workflows, and partners to launch quickly
• Raise the bar on engineering quality across reliability, observability, performance, and data integrity
• Foster a culture of ownership, velocity, and strong engineering fundamentals in a fast-moving, ambiguity-heavy environment

Benefits

• Ownership: Equity in a fast-growing company
• Financial Wellness : 401(k) match, competitive compensation, financial coaching
• Family Support: Paid parental leave, fertility benefits, parental coaching
• Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
• Growth: $2,000 learning stipend, ongoing development
• Remote & Office: Internet, commuting, and free lunch/gym in our SF office
• Time Off: Flexible PTO, 15 holidays + 2 flex days
• Connection: Team outings & referral bonuses

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed