GTM Strategy ManagerActive$183K–$204K
The opportunity
Reporting to the GTM Planning Lead, the Central Planning Manager is responsible for translating GTM strategy into headcount capacity plans, quotas, and pipeline-generation targets that drive the right outcomes across direct and partner motions. You will be the hands-on owner of…
What you'll do
Drive the annual Go-To-Market planning process for the COO organization under the GTM Planning Lead.
Owning GTM capacity planning and target-setting, translating growth targets: into coverage, headcount, and productivity plans across Sales, Field Engineering and CS.
Applying and refining target-setting methodologies, ensuring targets are: grounded in market opportunity, historical performance, and productivity expectations.
Partnering with Finance, Field Ops, and GTM leadership to build and maintain: models of capacity needs, ramp assumptions, productivity, and hiring requirements for annual and long-range planning, including scenario models that show the tradeoffs between headcount, pipeline, compute supply, productivity, and revenue before decisions are made, and present scenarios to the GTM Planning Lead.
Maintaining planning frameworks and analytics to monitor capacity, quota: attainment, and productivity and inform in-year adjustments.
Own pipeline-generation (pipegen) targets by segment and team, and track pipeline coverage against them.
What they're looking for
- + years in GTM planning, quota setting, and/or productivity-related revenue operations workstreams
- Strong understanding of go-to-market design and sales planning, including how: capacity, quota, and pipeline targets fit together
- Significant experience presenting analysis to senior leaders and closely: partnering with leaders at the Director and VP level
- Advanced analytical and financial modeling skills with a superb ability to drive high value insights
- Hands-on experience building headcount, ramp, and quota capacity models for a: consumption-based or hybrid commit-plus-usage business
- SQL and BI fluency, and experience with a planning or forecasting platform: (for example Anaplan, Clari or Xactly)
- BA/BS degree in engineering, accounting, finance, economics or other quantitative fields preferred
- Experience at an AI/ML infrastructure, developer tools, or API-first company