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Finance, BizOps Strategy

Job in New York, New York County, New York, 10261, USA
Listing for: Gusto
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Finance, BizOps, & Strategy
Location: New York

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k) s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve.

Learn more about our Total Rewards philosophy.

About the Role

The Finance, Business Operations & Strategy (FBOS) team is Gusto’s strategic engine: we partner with teams across the company to drive strategic decision‑making, financial planning and business operations. For this role, you’ll be the dedicated Strategy & Finance Partner for our core Product team, Pay Group. Our Pay Group Product team owns the engines, platforms, and customer‑facing workflows that power how employers and teams get paid.

The work spans deep product economics, platform investment choices, customer experience improvements, and operational performance. You will partner closely with Product and R&D leaders to drive clarity in priorities and long‑term direction. This is a high-impact, high-responsibility role.

About the Team

FBOS’s mission is to define and defend the business model while accelerating Gusto’s growth. We roll up our sleeves as partners and collaborate closely with operators to drive meaningful impact. On the Pay Group team, you’ll work cross‑functionally with Product, Marketing, Sales, Engineering and Data Science to ensure that our product initiatives are financially sound, strategically aligned and appropriately prioritized.

Day‑to‑Day Responsibilities
  • Be a strategic partner to Product leaders within Pay Group. Collaborate with the Pay Group to assess the financial and strategic impact of product initiatives. Translate product metrics and experiment results into insights that drive decision‑making.
  • Build and maintain revenue models. Develop revenue and cost models that inform planning, forecasting and ROI analysis for new and existing products.
  • Drive planning & forecasting. Lead forecasting and quarterly planning cycles for the Pay Group (revenue), and Gusto‑wide Product and Design teams (costs), ensuring accurate projections of revenue, spend and headcount.
  • Set and track OKRs/KPIs. Establish and monitor objectives and key results (OKRs) and key performance indicators (KPIs) for Product, partnering with functional leaders to align targets with business goals.
  • AI Application. Use AI tools (ChatGPT, Gemini, Pigment AI) to draft analyses and automate reports. Apply validation before publishing AI outputs. Document and share AI use cases and workflows. Operate using Gusto's AI mindsets:
    Driver, Boundaryless Thinking, AI as Amplifier, Experimentation, Full-Stack Builder.
  • Perform business analytics. Conduct deep financial analyses, modeling and scenario planning to evaluate new product experiments, pricing strategies and potential third‑party partnerships. Provide negotiation guidance when crafting contracts and deals.
  • Identify new product and market expansion. Assess pricing and packaging strategies for new products, build business cases that balance upside opportunities and risks, and collaborate with product and sales teams on monetization strategies.
  • Communicate with stakeholders. Present analyses, financial insights and strategic recommendations to Product leadership and executive teams, ensuring alignment and enabling informed decisions.
  • Roll up your sleeves. Partner with operators to execute initiatives, refine processes and track outcomes.
Requirements
  • Experience. 7+ years of relevant experience in investment banking, private equity, corporate finance or FP&A.
  • Education. Post Graduate MBA or Bachelor's degree in a quantitative field (e.g., Finance, Business, Engineering, Mathematics, etc.).
  • AI Competency. Understanding of LLMs, agents and workflows. Proficiency in at least one automation tool. Commitment to continuous AI learning. Defines team AI strategy and governance.
  • Technical skills. Mastery of Google Sheets with the ability to build complex models and perform quantitative analyses. Familiarity with SQL and…
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