Growth Operations Lead

Handshake · Enterprise · San Francisco, CA · Product

The Growth Operations Lead will architect and scale strategic growth initiatives to drive revenue and product adoption for Handshake's AI-driven products. This role involves leading cross-functional efforts, designing scalable growth systems, optimizing the growth funnel, synthesizing insights, and solving ambiguous challenges with a data-driven approach.

What you'd actually do

  1. Own and lead critical growth initiatives from strategy through execution, collaborating deeply with teams across Product, Engineering, Operations, and Go-to-Market.
  2. Design and implement scalable growth systems, pipelines, and processes tailored to evolving customer needs and market demands.
  3. Oversee and optimize the entire growth funnel - from acquisition to activation - for key generative AI products and experiments.
  4. Synthesize insights across product usage, market dynamics, and operational performance to surface opportunities and drive prioritization.
  5. Partner closely with Handshake AI’s leadership to shape strategic direction, define success metrics, and drive accountability across growth workstreams.

Skills

Required

  • 3-4+ years of experience in growth, product, or operations.
  • Background in strategy- and operations-heavy environments such as marketplaces, logistics, or on-demand services.
  • Experience in Business Operations, Strategy, or Growth teams at a tech company.
  • Strong technical acumen, including the ability to perform data analysis using SQL or Python.
  • Educational or professional background in Business Intelligence, Data Analytics, or related fields, with a strong grasp of turning data into actionable insights.
  • Excellent analytical and problem-solving skills, with a data-first approach to testing and decision-making.
  • Familiarity with BI tools and methodologies (e.g., dashboards, KPI tracking, data visualization) to support operational and strategic decisions.
  • An entrepreneurial mindset—comfortable with ambiguity, fast execution, and building from zero to one.

What the JD emphasized

  • architect and scale strategic growth initiatives
  • drive revenue, product adoption, and long-term market leadership
  • define and execute our growth roadmap
  • students, employers, and institutions experience our next generation of AI-driven products
  • critical growth initiatives
  • scalable growth systems, pipelines, and processes
  • optimize the entire growth funnel
  • key generative AI products and experiments
  • product usage, market dynamics, and operational performance
  • shape strategic direction
  • growth workstreams
  • ambiguous, high-priority challenges
  • scale new products and markets