Hybrid opportunity at
GustoSenior Manager, Head of Sales Data Science & Analytics
Gusto operates a platform serving more than 500,000 small businesses nationwide by handling payroll, health insurance, 401(k)s, and human resources functions. The company maintains offices in…
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About This Role
Gusto operates a platform serving more than 500,000 small businesses nationwide by handling payroll, health insurance, 401(k)s, and human resources functions. The company maintains offices in Denver, San Francisco, and New York. Gusto seeks an experienced data science leader for a full-time, hybrid Senior Manager, Head of Sales Data Science & Analytics position based in San Francisco. This leadership role is responsible for overseeing the sales analytics team, which generates…
Job Description
Gusto operates a platform serving more than 500,000 small businesses nationwide by handling payroll, health insurance, 401(k)s, and human resources functions. The company maintains offices in Denver, San Francisco, and New York.
Gusto seeks an experienced data science leader for a full-time, hybrid Senior Manager, Head of Sales Data Science & Analytics position based in San Francisco. This leadership role is responsible for overseeing the sales analytics team, which generates insights, forecasting tools, and measurement infrastructure for acquiring, expanding, and retaining revenue. The position requires a combination of strategic planning and hands-on execution.
The successful candidate will address technical debt in the existing sales data foundation by partnering closely with data engineering to build scalable systems. Simultaneously, this leader will shift the analytics function away from routine query fulfillment toward advanced forecasting, causal inference, and rigorous statistical analysis. The role also involves leveraging AI-driven tools to support self-service analytics for operations teams and developing staff toward strategic analytical thinking.
This opportunity suits an analytics professional with extensive management experience who is comfortable navigating messy data environments, collaborating with cross-functional executives, and applying quasi-experimental methods when controlled experiments are not feasible.
Responsibilities
- Lead and direct a team of data scientists and analysts supporting customer acquisition and product expansion sales teams
- Conduct deep-dive data analyses to uncover revenue drivers and present actionable insights to senior leadership
- Collaborate with data engineering and service platform partners to rebuild foundational sales data systems
- Partner with the Chief Revenue Officer, sales operations, and engineering teams to align on infrastructure roadmaps
- Advance sales forecasting methodologies by incorporating rigorous analytics approaches like propensity scoring and seasonality controls
- Establish self-service analytics capabilities for operations partners using emerging AI tooling
- Recruit, mentor, and develop a proactive analytics team focused on strategic analysis rather than reactive query fulfillment
Requirements
- Ten or more years of experience working in data science or related fields
- At least four years of experience leading a growing analytics team
- Strong command of experimental design, causal reasoning, and quasi-experimental methods
- Deep professional experience working with Salesforce data at scale, including CRM-to-warehouse reconciliation
- Hands-on technical proficiency with SQL, dbt, and Snowflake
- Thorough domain knowledge of SaaS revenue operations, including pipeline management, forecasting, and quota tracking
Core Skills
Benefits
- Competitive base pay
- Benefits package
- Equity in the form of Restricted Stock Units
Frequently Asked Questions
Where is this job located?
This position is based in San Francisco, with a hybrid work arrangement requiring employees to work from the office approximately two to three days per week.
What is the employment type?
This role is a full-time position.
What experience is required for this role?
Candidates must have over 10 years of experience in data science or related fields, with at least 4 years spent leading a growing analytics team.
What salary does this position offer?
The specific salary is not stated in the job posting, though the company notes that offer amounts depend on role, level, and location.
Sample Interview Questions
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