Senior GTM Analytics Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid in Austin, San Francisco, New York City, Atlanta, or Denver, United States. Candidates progressing to the offer stage may be asked to attend an in-person interview at a office or hub.
Annual salary: $167,000–$230,000 for San Francisco Bay Area hires; $160,000–$220,000 for New York City hires; $146,000–$200,000 for Colorado remote hires. Compensation may vary by work location.
Company
operates a global network that protects and accelerates Internet applications and websites.
What you will do
- Define and execute a multi-year analytics strategy for Pre-Sales, Post-Sales, Solutions Engineering, Forward Deployed Engineering, and Professional Services.
- Develop maturity models, phased roadmaps, governed metrics, semantic layers, and context needed for self-serve and AI-assisted analytics.
- Review dashboards, reports, and tools; consolidate duplicates and establish single sources of truth.
- Define official metrics, align them with Finance and Data standards, and resolve conflicts between stakeholder groups.
- Partner with Data Engineering on models spanning Salesforce, professional services, product telemetry, support, and finance systems.
- Establish intake, governance, ownership, certification, prioritization, and change-management processes for data requests.
Requirements
- 8+ years of experience in analytics, business intelligence, analytics engineering, or GTM/Services operations at a high-growth B2B SaaS or technology company.
- Experience supporting Pre- or Post-Sales Operations, Solutions or Sales Engineering, Forward Deployed Engineering, Professional Services, or Customer Success.
- Deep expertise in dimensional modeling, entity design, and metric-layer design.
- Expert SQL skills and experience with BigQuery, dbt, or semantic and metrics-layer tools such as LookML or Cube.
- Knowledge of Salesforce, professional services automation, product usage, telemetry, support, and finance data.
- Ability to lead complex cross-functional programs and communicate technical and analytical concepts to executives and engineers.
Nice to have
- Experience with semantic layers, retrieval and context design for LLMs, text-to-SQL, or agent-based access to governed data.
- Master’s degree in Data Science, Analytics, Computer Science, or an MBA.
Culture & Benefits
- Senior individual contributor position with broad influence and no direct reports.
- Hybrid work environment with collaboration across Sales, Technical Sales, Services, Finance, and Data teams.
- U.S. medical, dental, vision, flexible spending, commuter, family-forming, and mental-health benefits.
- 401(k), employee stock participation, disability, life, accident, and global travel medical insurance.
- Flexible paid time off and parental, pregnancy, medical, and bereavement leave programs.
Hiring process
- Applicants progressing to the offer stage may be asked to attend an in-person interview at a office or hub.
- An offer may be conditioned on authorization to receive technology controlled under U.S. export laws without sponsorship for an export license.
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