Senior Product Manager

At Varicent , we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave for SPM , 2023 Ventana Research Revenue Performance Management (RPM) Value Index , Gartner Peer Insights , 2024 Gartner SPM Market Guide , and G2.

Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here’s why you’ll thrive at Varicent : Innovate with Purpose: Build impactful solutions for customers worldwide. Join Excellence: Work in a diverse, collaborative, and innovative team.

Shape the Future: Lead in redefining revenue optimization. Grow Together: Unlock your potential in a supportive environment. Join us at Varicent —where your talent and ambition meet limitless opportunities for success!

Senior Product Manager, AI Strategy About Varicent Varicent is a leader in enterprise sales compensation management, trusted by many of the world's most complex revenue organizations to manage critical compensation and revenue performance processes. We are entering an exciting stage of growth as we expand our AI product team, backed by strong executive support and a clear AI vision. Our focus is on building practical, high-value AI capabilities that help customers reduce manual work, uncover insights faster, and improve operational decision-making.

Our AI product team works on meaningful problems in a complex, high-impact domain, helping shape the next generation of AI capabilities and autonomous agents for enterprise customers. We also work within a modern product development lifecycle where you will have access to advanced AI tools that support product discovery, research, rapid prototyping, analysis, documentation, and execution. If you are excited by the opportunity to help shape AI products in a proven enterprise software company with real customer problems, strong leadership commitment, and the tools to move quickly, Varicent is a great place to build.

As a Senior Product Manager, AI Strategy , you will drive the 0-to-1 strategy, incubation, and roadmap for new AI products, agents, and capabilities. This is a senior individual contributor role created to ensure Varicent 's AI capabilities are grounded in high-value customer problems, shaped into clear product strategies, and brought from early concept through incubation and validation. You will work closely with customers and internal teams to turn ambiguous opportunities into well-defined AI products, agents, and capabilities that can deliver measurable customer and business value.

You will partner closely with Product, Product Operations, Engineering, Design, Product Marketing, Go-to-Market, Customer Success, Sales, Support, and customers to bring AI-powered capabilities from discovery through validation, launch, and scale. This role is ideal for a product leader who is comfortable working in ambiguity, deeply curious about AI, and motivated by building products that create measurable customer and business impact. Responsibilities Own the AI product strategy and roadmap: Own the end-to-end product roadmap across new and existing AI capabilities, agents, and product experiences.

Prioritize investments based on customer value, business impact, adoption feedback, technical feasibility, data readiness, and strategic differentiation. Lead discovery for prioritized opportunities: Validate high-value customer problems and identify where AI can meaningfully improve decision-making, productivity, or operational outcomes. Engage in customer research, evaluate market trends, understand the competitive landscape, and analyze product usage data to shape clear opportunity areas.

Translate opportunities into product

Convert prioritized AI opportunities into clear product requirements, PRDs, and MVP definitions. Define AI evaluation and success criteria: Define what success looks like for new AI products before they enter customer validation, working closely with the AI Adoption & Customer Value Product Manager to establish evaluation criteria. Partner with Engineering and Design through early delivery: Work closely with Engineering and Design to understand feasibility, data dependencies, implementation tradeoffs, model behavior, system constraints, and risks.

Provide product leadership throughout early delivery to keep teams focused on customer outcomes and validation goals. Prepare AI products for customer validation, launch, and scale: Partner with the AI Adoption & Customer Value Product Manager to ensure new AI products are designed for successful transition from incubation to customer deployment, go-to-market readiness, adoption, and scale. Incorporate customer readiness, enablement needs, feedback loops, and value realization considerations early in the product development process.

Partner with Product Marketing and Go-to-Market teams: Work closely with Product Marketing and Go-to-Market teams to shape positioning, messaging, launch strategy, enablement materials, customer-facing assets, and internal readiness for new AI capabilities. Ensure product value, differentiation, customer outcomes, and adoption paths are clearly communicated across internal and external audiences. Use analytics and customer feedback to inform roadmap decisions: Leverage product analytics, customer feedback, go-to-market insights, adoption data, usage patterns, and deployment learnings to understand how AI products are performing.

Use these insights to refine product priorities, improve product quality, and guide future roadmap decisions. Drive cross-functional alignment: Collaborate with Product, Enginee