3 дня назад
Senior Sales Planning & Analytics Manager (AI)
129 600 - 178 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Sales Planning & Analytics Manager (AI): Building and managing ARR, pipeline, quota, capacity, and performance measurement systems for an enterprise B2B SaaS go-to-market organization with an accent on sales planning, executive analytics, and AI-powered workflow efficiencies. Focus on modeling growth scenarios, standardizing metrics, designing actionable dashboards, and turning complex commercial data into defensible recommendations.
Location: Remote within the United States
Salary: $129,600–$178,200 per year, plus bonus eligibility
Company
provides an AI-powered GRC Intelligence Platform for enterprise audit, risk, ESG, and information security management.
What you will do
- Build annual ARR and pipeline generation targets using structured assumptions and growth scenarios.
- Own sales quota setting, headcount and capacity models, territory design, and rep productivity analysis.
- Build dashboards, scorecards, KPI reports, and leading indicators for sales, solutions engineering, and xDR teams.
- Standardize metrics across regions, channels, and product lines into a single source of truth.
- Use AI to develop scalable GTM tools and workflow efficiencies.
- Partner with GTM and Finance leadership to shape performance measurement and communicate clear recommendations.
Requirements
- 5+ years of experience in GTM analytics, sales operations, or a related function supporting an enterprise, multi-product GTM motion.
- Deep knowledge of sales planning, territory design, quota setting, and forecasting for sales, solutions engineering, and xDR functions.
- Hands-on SQL skills for independently pulling, joining, and validating data.
- Experience with Salesforce, Gong, Clari, and BI tools such as Tableau, Looker, or Power BI.
- Practical experience using AI to build scalable GTM tools and workflow efficiencies.
- Strong executive communication and the ability to structure ambiguous problems and deliver clear recommendations.
Nice to have
- Experience with dbt, Python, R, or cloud data warehouses such as Snowflake, BigQuery, or Redshift.
- Experience building with LLM APIs or AI-assisted analytics tools, including natural-language querying and automated narrative reporting.
Culture & Benefits
- Values include customer obsession, resilience, innovation, collaboration, and continuous growth.
- Work remotely within the United States.
- Compensation is adjusted based on role scope, skills, experience, certifications, and regional location tiers.
- Background checks are required, and benefits may vary based on eligibility and location.
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