Staff Product Manager, CaptivateIQ
Builder Experience, Incentive Compensation Management
$168.9-245.1k
3 days a week in office
Commission management platform
Open for applications
Commission management platform
201-500 employees
Open for applications
$168.9-245.1k
3 days a week in office
201-500 employees
Company mission
To bring joy and transparency to sales performance management.
Role
Who you are
- 6-8+ years of product management and or domain-relevant experience, ideally with data-modeling, workflow automation, or enterprise SaaS products
- A track record of shipping complex, technical products that balance power and usability - experience in areas like modeling interfaces, configuration tools, or workflow design is a plus
- Strong customer empathy and curiosity - you go deep to understand user intent, edge cases, and business context
- Strong product sense paired with systems thinking - you can reason about both UI/UX details and underlying architecture
- Excellent written and verbal communication skills - able to synthesize complexity into clarity for cross-functional partners
- Comfort with hands-on collaboration in Figma, user sessions, and with engineering on implementation details
- A bias toward action - thrives in ambiguous, fast-moving environments where clarity emerges through doing
What the job involves
- We’re looking for a Senior Product Manager to lead the Builder Experience within our Incentive Compensation Management (ICM) product line - the foundation of CaptivateIQ’s success
- This role owns how customers model, configure, and manage their compensation logic within our platform - ensuring that what’s historically been a complex and technical task becomes intuitive, scalable, and enterprise-ready
- You’ll work closely with engineering, design, and CX to shape the next generation of our modeling and configuration experiences - from no-code workflows and modeling primitives, to validation, testing, and collaboration features that power enterprise-grade reliability with consumer-grade usability
- Own the Builder Experience roadmap - define and deliver the vision for how customers model and operationalize their incentive compensation plans
- Deeply understand user workflows - partner closely with customers, CX, and Solution Architects to identify friction points in how admins and builders create, test, and maintain plans
- Balance intuitiveness with power - design solutions that make modeling logic and workflows feel simple without limiting advanced capabilities required by enterprise clients
- Collaborate across teams - work hand-in-hand with engineering, design, and GTM to bring features from concept to launch, and ensure smooth adoption across customers
- Champion platform thinking - ensure your solutions integrate seamlessly with the broader ecosystem of modeling products, leveraging shared objects, reusable components, and consistent UX patterns
- Drive clarity and execution - define crisp problem statements, measurable outcomes, and success criteria; ensure delivery aligns with broader company goals
- The Builder Experience sits at the heart of how CaptivateIQ delivers value. It’s where customers turn their business rules into live, automated systems. A great builder experience unlocks faster implementations, greater trust, and broader adoption - it’s where the power and approachability of our ICM platform meet
- A great builder experience unlocks faster implementations, greater trust, and broader adoption - it’s where the power and approachability of our ICM platform meet
Our take
CaptivateIQ is an incentive compensation platform using AI to automate commission workflows. Businesses spent an exorbitant amount each year managing commission processes, so the company's no-code SaaS is a welcome overhaul for the sector.
CaptivateIQ's platform improves both the efficiency and accuracy of existing legacy processes, serving any type of organization that utilizes a performance-based compensation plan. The founding team has real experience with the cumbersome process of managing commission payments, which is why they chose to target this particular problem.
CaptivateIQ has been smart in building a more generic product, allowing it to attract big-name clients from different sectors. This broad customer acquisition, atop regular funding injections, has helped CaptivateIQ reach Unicorn status. The company continues to add to its offering, for example with the launch of its AI-powered payee experience in 2025.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-14% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2022
$100m
SERIES C
Apr 2021
$46m
SERIES B
Total funding: $159.2m
Company benefits
- 100% of medical, dental, and vision covered including 75% for dependents
- Unlimited vacation days and quarterly mental health days so you can recharge
- $1,000 to explore your dream destination on your work anniversary
- $500 annual professional development stipend to continue growing and learning
- $500 home office stipend to decorate your home office
- $1,000 caretaker stipend to make sure our parent colleagues are being supported
- Virtual team lunches to keep you connected
- 401k plan to participate in and save towards the future
- Newest hardware and tools for the job
- Employee Resource Groups (ERGs) to support and celebrate the shared identities and life experiences of communities within CaptivateIQ
Company HQ
China Basin, San Francisco, CA
Leadership
Mark Schopmeyer
(Co-CEO & Co-founder)Former Investment Professional at Carrick Capital Partners and Finance and Strategy Manager at BrightRoll. Former Investment Banking Analyst at Jefferies & Company and Lehman Brothers. BA in Business Administration from Berkley School of Business.
Conway Teng
(Co-CEO & Co-founder)Former employee at Gusto in Finance and Business Operations. Previously Head of Growth at OrderAhead. Founder of FiveStars. Graduated from Berkley.
Hubert Wong
(Principal Engineer & Co-founder)Was CTO of the company for 6 years. Former Senior Software Engineer at Vungle, OpenTable and CoPilot Labs. BS in Electrical Engineering and Computer Science at Berkley.
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