Senior Sales Strategy, Analytics Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish annual company-wide ARR and pipeline generation objectives utilizing structured assumptions and scenarios.

• Manage sales quota determination, headcount and capacity models, as well as analysis of representative productivity.

• Assist in territory design and ensure alignment of coverage with growth opportunities.

• Define standard planning-cycle inputs, timelines, and outputs.

• Develop and sustain dashboards, scorecards, and KPI reports for sales, SE, and xDR teams.

• Identify leading indicators for potential risks and opportunities.

• Standardize metrics across various regions, channels, and product lines.

• Leverage AI to create scalable tools and enhance workflow efficiencies for GTM teams.

• Collaborate with GTM and Finance leaders on performance assessment and decision-making processes.

• Transform intricate analyses into clear, defendable recommendations.

• Align stakeholders around a unified narrative.

• Establish analytical rigor and QA standards throughout the analytics team.

• Mentor colleagues and junior analysts in modeling, scenario planning, and executive communication.

• Enhance reporting automation and data integrity.

• Report directly to the Director of Sales Strategy & Analytics.

⛳️ Requirements

• 5+ years of experience in GTM analytics, sales operations, or a related role supporting an enterprise, multi-product GTM initiative; B2B SaaS experience is highly preferred.

• Profound knowledge of GTM motions, sales planning (territories, quota setting), and forecasting for sales, SE, and xDR functions.

• Proficient in SQL; capable of independently pulling, joining, and validating data.

• Familiarity with contemporary B2B commercial tools including Salesforce, Gong, Clari, and BI tools such as Tableau, Looker, or Power BI.

• Practical experience in utilizing AI to develop scalable GTM tools and improve workflow efficiencies.

• Strong executive communication skills with the ability to distill complex analyses into a single clear recommendation.

• Ability to structure ambiguous problems and challenge conventional wisdom when supported by data.

• Nice to have: experience with dbt, Python or R, and cloud data warehouses such as Snowflake, BigQuery, or Redshift.

• Nice to have: experience with LLM APIs or AI-assisted analytics tools.

• Background checks are mandatory.

🏝️ Benefits

• $200/month LYBL allowance for any personal enhancement.

• Comprehensive health coverage for employees.

• 401(k) plan with company matching.

• Competitive salary and bonus structure.

• Flexible vacation policy (exempt) / accrued vacation (non-exempt).

• Paid time off for your birthday and volunteering activities.

• Employee resource groups available.

• Opportunities for team and company-wide gatherings.

• Parental leave offered.