Senior Product Manager - Incentive Compensation

nCino•Lehi, UT

13h

About The Position

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking. nCino's US Mortgage team is looking for a Senior Product Manager to own our Incentive Compensation solution. This product helps financial institutions design and manage how their lending teams get paid, which means your work directly shapes compensation programs that affect loan officers' livelihoods across the country. It's a complex, specialized product with real depth, and you'll become one of the few people who truly understands how it all fits together. You'll own the full product lifecycle from customer discovery through launch and outcome tracking, partnering closely with Design and Engineering to solve nuanced problems. This role requires someone who thrives in ambiguity, can navigate competing stakeholder priorities, and genuinely enjoys digging into customer research to understand what's actually needed. Mortgage experience is a plus but not required as strong product instincts and collaborative communication skills matter more. Essential Functions Ideate - Own the roadmap. Identify next highest priority problems to solve Validate the roadmap with customers. Take output from junior product team members' research to advance the planning Plan - Represent the Product vision for your feature/feature set in planning sessions with Design and Architecture/Eng Build - Be involved in key milestones. Major stakeholder in sprint reviews and weekly demos Launch - Lead customer-facing Early Adopter conversations. Develop strategic launch plan with cross-functional team Grow - Help junior product team members' interpret success metrics, work with customer awareness nCino Product Knowledge - As the owner of your feature/feature set you should be able to lead conversations with customers in all segments about the value of your feature(s) in how they solve business problems as well as the vision and roadmap for the overall experience this feature connects to and how that will further add value to our customers. This will include objection handling through your deep knowledge of how other customers use the feature or have adjusted their business process to gain value Leverage AI and machine learning capabilities to enhance product decision-making, identify customer behavior patterns, forecast trends, and uncover unmet needs. Apply AI-powered analytics to validate product assumptions, track adoption, and surface opportunities for improvement. Collaborate with engineering to explore and integrate AI/ML features that add value to the customer experience while staying informed on emerging technologies and their potential application across the product lifecycle.

Requirements

Bachelor’s Degree in Computer Science or a related field with 5+ years of experience/proficiency or a combination of education and experience
Experience in presenting to multiple layers of a company, including executives
Strong understanding of software development processes, technologies, and methodologies.
Experience being involved in the sales cycle and conducting customer interviews
Outstanding written and oral communication skills
Proven ability to plan and deliver products in an agile environment
Demonstrable ability to gather and transform product feedback into actionable requirements

Nice To Haves

Advanced knowledge of Agile principles
Advanced knowledge of the commercial, small business banking, treasury, consumer space in relation to both processes and regulations
Experience with loan origination software/technology

Responsibilities

Own the roadmap. Identify next highest priority problems to solve
Validate the roadmap with customers.
Represent the Product vision for your feature/feature set in planning sessions with Design and Architecture/Eng
Be involved in key milestones. Major stakeholder in sprint reviews and weekly demos
Lead customer-facing Early Adopter conversations.
Develop strategic launch plan with cross-functional team
Help junior product team members' interpret success metrics, work with customer awareness
Lead conversations with customers in all segments about the value of your feature(s) in how they solve business problems as well as the vision and roadmap for the overall experience this feature connects to and how that will further add value to our customers.
Leverage AI and machine learning capabilities to enhance product decision-making, identify customer behavior patterns, forecast trends, and uncover unmet needs.
Apply AI-powered analytics to validate product assumptions, track adoption, and surface opportunities for improvement.
Collaborate with engineering to explore and integrate AI/ML features that add value to the customer experience while staying informed on emerging technologies and their potential application across the product lifecycle.