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Senior Sales Strategy & Analytics Manager

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Description

  • As our Senior Sales & Analytics Manager, you’ll own core pieces of our go-to-market planning and performance measurement system: annual ARR and pipeline generation targets, sales quotas, headcount and capacity models, and the dashboards and frameworks that keep leaders aligned
  • You’ll work closely with GTM and Finance leadership, bringing structure to ambiguous problems and turning complex data into calls people can actually act on
  • You’ll report directly to our Director of Sales Strategy & Analytics, on a small, dedicated team focused on one thing: helping commercial leadership make the data-backed calls that drive our revenue growth
  • This is a senior individual contributor role for someone who’s just as comfortable building a model from scratch as they are sitting at the table with senior leadership, helping shape commercial strategy
  • Build company-wide annual ARR and pipeline generation targets, translating growth goals into structured assumptions and scenarios
  • Own sales quota setting, headcount and capacity models, and rep productivity analysis
  • Support territory design so coverage matches where the growth opportunity actually is
  • Bring consistency to planning cycles by defining clear inputs, timelines, and outputs across workstreams
  • Build and maintain the dashboards, scorecards, and KPI reports that give sales, SE, and xDR teams real visibility into what’s working
  • Define leading indicators that flag risk and opportunity early — before they show up in the topline numbers
  • Standardize metrics across regions, channels, and product lines into a single source of truth
  • Use AI to build tools and efficiencies that scale the team’s work — not one-off experiments, but things GTM teams actually rely on day to day
  • Partner with GTM and Finance leaders to shape how performance gets measured and how decisions get made
  • Compress complex analysis into a clear, defensible recommendation
  • Align stakeholders around a shared narrative, cutting through fragmented views of the same numbers
  • Set the standard for analytical rigor and QA across the analytics team
  • Mentor peers and junior analysts on modeling, scenario planning, and executive communication
  • Push reporting automation and data quality forward as the business scales

Benefits

  • Health and wellness benefits: High quality health plans and access to hormonal and family-building support.
  • Time away from work: Generous paid time off including vacation, holidays, sick time, bereavement, and more.
  • Financial benefits: Beyond a competitive salary, plans are provided to assist in your financial future including retirement and pension plans as well as life and disability insurance.
  • Parental leave: Parents are eligible for time off to care for their newborn, adopted child, or foster child. Parental leave benefits and pay vary by location.
  • Professional development: Continuously grow through development workshops, mentoring programs, and more.
  • Community impact: We partner with communities to provide services in addition to sponsoring our own events.
  • Live your best life: Invest in yourself, on us. Our monthly wellness stipend is designed to support your life beyond the screen, giving you the flexibility to fuel your passions and your well-being.
  • Mental health: Access to Headspace’s well known meditation support plus coaching and therapy, for you and additional loved ones.
  • Fluency with the modern B2B commercial stack (Salesforce, Gong, Clari, etc.) and a BI tools (Tableau, Looker, Power BI, or similar)
  • The judgment to structure ambiguous problems, and the courage to push back on convention when the data says so
  • 5+ years in GTM analytics, sales operations, or a related function supporting an enterprise, multi-product GTM motion (B2B SaaS strongly preferred)
  • Hands-on SQL — you can pull, join, and validate data independently, without waiting on another team
  • Deep understanding of GTM motions, sales planning (territories, quota setting), and forecasting for sales, SE, and xDR functions
  • Strong executive communication: you can turn a complex analysis into one clear recommendation your CGO can act on
  • Practical experience using AI to build GTM tools and workflow efficiencies that scale — you’ve shipped things people actually keep using, not just experimented
  • Experience with dbt, Python or R, and a cloud data warehouse (Snowflake, BigQuery, Redshift)
  • Experience building with LLM APIs or AI-assisted analytics tooling — natural-language querying, automated narrative reporting, and the like

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See also

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