Senior Staff Product Manager, Partner Payouts & Incentives Platform at Intuit

Job description

Come join the Virtual Expert Platform (VEP) team as a Senior Staff Product Manager, where you will lead the strategy and execution of Partner Payouts and Incentives building the platform capabilities that power how Intuit manages and pays its partners driving Intuit's growth including accounting firms, value added resellers, solution providers, and affiliates. As a leader on the VEP team, you will play a key role in driving the strategy, execution, and delivery of core capabilities across the partner compensation lifecycle from incentive calculation and performance analytics, to payout processing and earnings transparency driving partner engagement, program efficiency, and long-term business growth. We are looking for candidates with strong product management skills and deep experience building platforms at scale. You will have a track record of delivering AI-driven solutions in the Sales Performance Management (SPM) space, with expertise spanning incentive compensation management, quota and territory planning, payout processing, and compensation analytics enabling efficient, insight-driven program management across a complex partner ecosystem. At Intuit, we're intentionally building AI into how we define, build, and ship products — and we're committed to equipping our teams to work at the forefront of it. We look for product managers who are excited to bring AI into their workflow — using it to move faster, go deeper on customer insights, and focus their energy on the decisions that only human judgment can make. We're looking for PMs who are curious, eager to experiment, and excited to continually evolve how they work. Responsibilities Define and drive product strategy for the Partner Incentives and Sales Performance Management platform, including vision, roadmap, and measurable success metrics Build product experiences that make AI-powered features intuitive, transparent, and trustworthy for a diverse range of customers — and bring a clear point of view on where AI genuinely helps vs. where it creates risk Identify and prioritize high-impact opportunities across the compensation platform, using data and close partnership with business stakeholders to translate needs into scalable product solutions Own end-to-end delivery of platform capabilities across multiple teams, ensuring solutions are scalable, reusable, and extensible across programs and partner types Drive AI-enabled platform capabilities across incentive compensation management, quota and territory planning, plan configuration, and performance analytics Build and evolve payout processing and earnings transparency capabilities that support accurate, timely, and compliant disbursements across a growing portfolio of partner programs Partner with engineering to shape technical approaches and tradeoffs; participate actively in architecture discussions spanning SPM systems, data platforms, and financial infrastructure Align cross-functional teams – engineering, finance, legal, and business operations – around platform priorities and outcomes; influence roadmaps across dependent teams and systems Use data to measure platform outcomes and continuously iterate on product improvements; balance near-term delivery with long-term platform durability and scalability Qualifications 7-10+ years of product management experience, including designing and delivering world-class platform or ecosystem products at scale Demonstrated ability to integrate AI tools into your product management workflow to improve quality, speed, or depth. Undergraduate degree required; focus in computer science or engineering preferable; MBA is a plus; equivalent experience will be considered Experience with Sales Performance Management (SPM) platforms such as SAP Incentive Management, Varicent, Xactly, or equivalent, as well as building compensation and incentive capabilities at scale Experience working in or alongside finance and accounting functions; familiarity with SOX compliance requirements, financial controls, and audit-ready process design Proven track record of defining and delivering multi-year product strategies across organizations Strong technical fluency (APIs, distributed systems, data platforms) with ability to influence technical decisions Experience partnering deeply with engineering and architecture teams Strong business acumen with experience driving growth, ecosystem, or platform outcomes Track record of working closely with customers, partners, listening and taking a customer-focused approach to strategy and priorities - passion for the customer Experience with AI/ML-driven products in the compensation, financial operations, or sales performance space Proven ability to drive cross-functional execution and alignment Data-driven mindset with a track record of delivering measurable business outcomes Excellent collaboration skills - leading execution across teams, influencing across organizations. Undergraduate degree required; focus in computer science or engineering preferrable; MBA is a plus; equivalent experience will be considered Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $205,500 - $278,000 Toronto, Ontario $162,000- $219,000

Requirements

Must-haves

Define and drive product strategy for the Partner Incentives and Sales Performance Management platform, including vision, roadmap, and measurable success metrics
Build product experiences that make AI-powered features intuitive, transparent, and trustworthy for a diverse range of customers — and bring a clear point of view on where AI genuinely helps vs. where it creates risk
Identify and prioritize high-impact opportunities across the compensation platform, using data and close partnership with business stakeholders to translate needs into scalable product solutions
Own end-to-end delivery of platform capabilities across multiple teams, ensuring solutions are scalable, reusable, and extensible across programs and partner types
Drive AI-enabled platform capabilities across incentive compensation management, quota and territory planning, plan configuration, and performance analytics
Build and evolve payout processing and earnings transparency capabilities that support accurate, timely, and compliant disbursements across a growing portfolio of partner programs
Partner with engineering to shape technical approaches and tradeoffs; participate actively in architecture discussions spanning SPM systems, data platforms, and financial infrastructure
Align cross-functional teams – engineering, finance, legal, and business operations – around platform priorities and outcomes; influence roadmaps across dependent teams and systems
Use data to measure platform outcomes and continuously iterate on product improvements; balance near-term delivery with long-term platform durability and scalability
7-10+ years of product management experience, including designing and delivering world-class platform or ecosystem products at scale
Demonstrated ability to integrate AI tools into your product management workflow to improve quality, speed, or depth.
Experience with Sales Performance Management (SPM) platforms such as SAP Incentive Management, Varicent, Xactly, or equivalent, as well as building compensation and incentive capabilities at scale
Experience working in or alongside finance and accounting functions; familiarity with SOX compliance requirements, financial controls, and audit-ready process design
Proven track record of defining and delivering multi-year product strategies across organizations
Strong technical fluency (APIs, distributed systems, data platforms) with ability to influence technical decisions
Experience partnering deeply with engineering and architecture teams
Strong business acumen with experience driving growth, ecosystem, or platform outcomes
Track record of working closely with customers, partners, listening and taking a customer-focused approach to strategy and priorities - passion for the customer
Experience with AI/ML-driven products in the compensation, financial operations, or sales performance space
Proven ability to drive cross-functional execution and alignment
Data-driven mindset with a track record of delivering measurable business outcomes
Excellent collaboration skills - leading execution across teams, influencing across organizations.

Nice-to-haves

Undergraduate degree required; focus in computer science or engineering preferable; MBA is a plus; equivalent experience will be considered
Undergraduate degree required; focus in computer science or engineering preferrable; MBA is a plus; equivalent experience will be considered

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