Manager, R&d Strategy & Operations

Handshake Handshake · Enterprise · San Francisco, CA · Product

Manager, R&D Strategy & Operations for Handshake AI, focusing on deploying to high-priority initiatives, building operating structures, and improving processes. The role involves working at the intersection of scalable RL environments, quality frameworks for frontier model training, and large-scale coding projects, with an emphasis on agentification of manual workflows and using AI tools.

What you'd actually do

  1. Deploy to the highest-priority initiatives across R&D, build the operating structure for each sprint, and hand off when it's self-sustaining
  2. Build trusted relationships with engineering and product leads; be informed enough to push back and credible enough to be heard
  3. Identify process and tooling friction across R&D and own the playbooks to fix it, including agentification of manual workflows
  4. Run org-wide operating rhythms, including quarterly planning, execution rhythms, org comms, and cross-team reporting
  5. Escalate to the S&O lead with context and a point of view, and a plan

Skills

Required

  • 6–8+ years in strategy & operations, chief of staff, or a hybrid role in a fast-moving R&D driven environment
  • Proven track record deploying across complex, multi-team organizations and building operating systems that outlast their involvement
  • Strategic range to move fluidly between a technical AI research environment and a consumer marketplace without losing effectiveness
  • High judgment under ambiguity
  • Executive presence to operate alongside senior leaders and push back when something is at risk
  • AI-fluent operator who uses the latest tools and is excited to build the agentification playbook for others
  • Relationship-builder who earns trust quickly across engineering, product, and design stakeholders

Nice to have

  • AI data business
  • scalable reinforcement learning environments
  • systematic quality frameworks for training frontier models
  • large-scale coding projects
  • agentification of manual workflows

What the JD emphasized

  • build the operating system to make it self-sustaining, and moves on
  • AI-fluent operator who uses the latest tools and is excited to build the agentification playbook for others
  • Proven track record deploying across complex, multi-team organizations and building operating systems that outlast their involvement

Other signals

  • Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.
  • scalable reinforcement learning environments, systematic quality frameworks for training frontier models, and large-scale coding projects pushing the boundaries of what AI can do on a massive, real-world problem set.
  • AI-fluent operator who uses the latest tools and is excited to build the agentification playbook for others.