Business Operations & Strategy Manager

Tailscale Tailscale · Enterprise · Remote · Data

This role is for a Business Operations & Strategy Manager at Tailscale, focusing on cross-functional projects that drive the company's long-term success. Responsibilities include commercial strategy, international expansion, improving business systems, and pricing architecture. The role also involves driving AI adoption initiatives and performing data analysis. While AI is mentioned as an area of focus for adoption and assistance, the core of the role is business operations and strategy, not direct AI/ML development.

What you'd actually do

  1. Reshaping our pricing and packaging strategy
  2. Expanding the company to APAC through Singapore
  3. Scoping and sizing new commercial opportunities
  4. Driving cross-company AI adoption initiatives
  5. Performing deep-dive data analysis to identify opportunities and mitigate challenges

Skills

Required

  • 4+ years of experience in business or strategy operations, strategy consulting, investment banking, venture capital, or a similarly analytical and execution-oriented role at a high-growth tech company
  • Demonstrated ability to own complex, cross-functional projects from diagnosis through to completion (not just analysis and recommendations)
  • Strong quantitative skills; comfortable doing your own data analysis without needing a dedicated analyst
  • Familiarity with SaaS business models, GTM systems, and how a B2B company generates and retains revenue
  • Clear, concise written communication
  • High tolerance for ambiguity, paired with the judgment to know when to move and when to ask
  • Intellectual curiosity and a low tolerance for leaving known problems unaddressed

Nice to have

  • Actual first-hand experience using Tailscale
  • Experience at a PLG company and/or first-hand experience with popular PLG projects
  • Experience at a Series C or similarly-sized tech company (200-500 employees)
  • Experience with Salesforce, Snowflake, Looker, Hex, or similar GTM and analytics tooling
  • Comfort with AI-assisted workflows and an instinct for where automation creates real leverage versus noise
  • Experience at a company that has gone through a pricing transition, international expansion, or similar structural growth milestone

What the JD emphasized

  • own complex, cross-functional projects from diagnosis through to completion
  • Strong quantitative skills
  • High tolerance for ambiguity
  • low tolerance for leaving known problems unaddressed