On-site
SaaS
greenhouse
About this role
About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
About the Role:
Gusto is looking for an experienced Senior Data Science Leader to empower our Sales Data team, the team that powers the insights, forecasting, and measurement infrastructure behind how we acquire, expand, and retain our revenue base.
We expect this leader to be both a strategic partner and execution-focused. You'll guide senior sales and marketing leaders through complex analytical questions, develop analysts into statistical and scientific thinkers, and collaborate cross-functionally with stakeholders across Sales Operations, Data Engineering, Finance, R&D, and more.
As AI tooling becom
Commission Structure
Base Salary
$,k
Commission
Structure not specified
Ramp Period
Not mentioned — clarify timeline
Selling Motion
Prospecting
Channel / Partner
Sell through partners, resellers, or alliances
Buyer Persona
C-Suite
Selling to executive decision-makers
Requirements at a Glance
Typical Day — Sales Manager
Estimates based on role type and selling motion — actual may vary by company.
Role Signals
Green Flags
Ownership stake offered
SaaS — Interview Intel
Typical Sales Cycle
30–90 days (SMB) · 3–9 months (Mid-Market) · 6–18 months (Enterprise)
Common Buyer Objections
- "We're locked into a contract with [competitor]"
- "We built something in-house already"
- "We don't have budget until next quarter"
- "Our team won't adopt another tool"
Key Industry Metrics
Hot Topics to Reference
- • AI-native product disruption
- • PLG vs sales-led motion debate
- • Vertical SaaS consolidation
- • Usage-based pricing models
Use these insights to speak the buyer's language in interviews.
Tags
How do you coach underperforming reps?
Template questionDescribe your forecasting methodology.
Template questionHow do you structure onboarding for new hires?
Template questionThis leadership position involves both strategic planning and hands-on coaching of the sales team.
Top SaaS reps often earn significant upside through accelerators once quota is exceeded.
The US market offers the highest OTE potential globally for sales professionals, with a highly competitive talent landscape.
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