Oversight · 3 months ago
Product Manager, Spend Risk Analytics
Oversight is a leading provider of risk mitigation solutions for spend management at large enterprises. The Product Manager will lead the design, execution, and delivery for all product functionality related to their assigned product line, working with engineers and data scientists to enhance product experience and align with Oversight's vision and strategy.
AccountingArtificial Intelligence (AI)Big DataBusiness Information SystemsComplianceEnterprise SoftwareFinTechMachine LearningManagement Information SystemsSaaS
Responsibilities
Own the data-driven product experience for your product line, spanning analytics models, workflow applications, and BI dashboards. Champion customer needs while ensuring product design maximizes the value of underlying data science models
Translate business problems into data science opportunities: partner with data scientists to frame hypotheses, define success metrics, and ensure models deliver measurable user impact
Define product roadmap and deliver market-leading offering to our customers
Manage day-to-day product execution: collaborate with customers, conduct user research, define use cases, lead requirements sessions, track and prioritize enhancement requests, coordinate product releases
Define business requirements and functional specifications and work with engineering, UX, and data science teams throughout the product development life cycle
Continuously prioritize the backlog with quantitative/qualitative inputs, including model accuracy, user adoption metrics, and customer feedback
Benchmark and analyze competitors’ use of data and AI, identifying opportunities to maintain product advantage
Understand user/buyer needs to identify product enhancements
Analyze and evaluate complementary and competitive products, technologies, and solutions and maintain a product competitive advantage
Support product launch planning, go-to-market activities and partner with marketing and sales teams to provide necessary support to ensure sales success
Act as a product evangelist to build awareness and understanding throughout the company and provide product demos as needed
Qualification
Required
3+ years of product management experience with data-driven or AI/ML-enabled software products (preferably SaaS B2B)
Bachelor's degree in Science, Engineering, Math, Finance, Business, Economics
Proven skills in data-driven prioritization, using metrics, experimentation, and A/B testing
Product management experience with delivering successful software products including the full product development life cycle: planning, requirements, development, release, go-to-market
Proven track record of leading end-to-end product development initiatives leveraging AI/ML, from concept through deployment and scale
Ability to lead and collaborate across teams and influence product direction
Ability to prioritize feature development using qualitative and quantitative analysis
Ability to communicate functions and benefits for complex product features to customers and internal employees
Ability to present product functionality and represent the product team throughout the organization
Experience with Agile, Scrum and Jira or related tracking tools
Proven experience applying user experience (UX) principles to design and deliver intuitive, user-centric product solutions
Preferred
MBA or graduate studies in data analytics, risk management, finance, or accounting
Familiarity with financial business processes such as Accounts Payable, Expense Management, Accounts Receivable, Order-to-Cash, Procurement, General Ledger
Experience leading enterprise SaaS products that embed data science models into user workflows
Proven experience rapidly building functional prototypes using low-code, AI-assisted, or cloud-based platforms (e.g., Lovable, Replit, or comparable tools)
Solid understanding of software UI/UX best practices
Experience launching products and features that use AI/ML
Experience identifying new product concepts and features through extensive market and user research
Track record of partnering with data engineering and data science teams
Experience with workflow applications and BI dashboards
Experience developing risk focused products
Company
Oversight
Oversight develops & sells solutions to help businesses use artificial intelligence to guard against fraud, errors and to ensure compliance.
H1B Sponsorship
Oversight has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2021 (1)
Funding
Current Stage
Growth StageTotal Funding
$37.15MKey Investors
Westbury Partners
2020-09-02Series Unknown
2020-09-02Acquired
2019-02-01Private Equity
Recent News
2026-01-06
GlobalFinTechSeries
2025-12-17
Company data provided by crunchbase