Senior Product Manager – Graph Intelligence & Signals
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Senior Product Manager Graph Intelligence & Signals
Location: Remote (U.S. or Canada-based)
Compensation: $170000 $200000 base salary
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SF or NYC: 15% to base range
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DC LA Seattle or Boston: 10% to base range
Additional Compensation: Up to 12.5% annual bonus equity
Work Authorization: Must be authorized to work in the U.S. or Canada no visa sponsorship
Work Hours: Must be able to primarily work U.S. business hours
The Opportunity
HireNow Staffing is representing a fast-growing software development firm seeking a Senior Product Manager to lead Graph Intelligence & Signals within its Risk Products portfolio.
This role sits at the core of a modern fraud prevention platform. The Senior Product Manager will own complex data-intensive products that power fraud detection and risk decisioning at scale. Success in this role requires more than roadmap managementyou must bring hands-on product discovery rigor deep technical fluency and the ability to translate advanced analytics into customer-ready capabilities.
This opportunity is best suited for product leaders who thrive at the intersection of data engineering and real-world risk problems.
Key Responsibilities
Candidates will be evaluated for interview consideration based on demonstrated ability to perform the following responsibilities:
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Own the end-to-end product lifecycle for graph intelligence and signals products from discovery through delivery and continuous optimization
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Translate complex technical conceptsincluding graph-based relationships signals and predictive modelsinto scalable customer-facing features
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Lead rigorous product discovery partnering closely with engineering and data science to validate problems test solutions and prioritize impact
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Enhance fraud detection capabilities and ensure seamless integration across a broader risk and decisioning platform
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Drive product execution with clear requirements success metrics and delivery milestones
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Use data model feedback loops and customer insights to continuously refine product performance and outcomes
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Collaborate cross-functionally with go-to-market sales and customer-facing teams to support launches adoption and positioning
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Communicate product vision tradeoffs and decisions clearly to technical and non-technical stakeholders
Only candidates with proven ownership of complex data-driven products will be considered.
Required Qualifications (Non-Negotiable)
These qualifications are mandatory. Candidates who do not meet all requirements will not be considered for interview.
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46 years of product management experience
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Demonstrated experience in data-driven product development
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Strong technical understanding of predictive analytics risk modeling and graph-based systems
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Proven ability to drive the full product lifecycle from discovery to delivery
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Experience working closely with engineering and data science teams on technically complex products
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Ability to operate effectively in fast-paced ambiguous SaaS or technology environments
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Strong communication skills with the ability to influence and align cross-functional teams
Preferred Qualifications (Strong Differentiators)
Candidates with the following experience will be viewed as standout applicants:
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Hands-on experience enhancing fraud detection capabilities using graph intelligence or signal-driven approaches
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Direct exposure to graph-based fraud detection tools or large-scale signal platforms
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Track record of rigorous product discovery and data-informed decision-making
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Experience supporting go-to-market strategy for complex technical products
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Execution-focused mindset with a history of delivering measurable product impact
Who This Role Is Best Suited For
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Product leaders who enjoy solving hard data-heavy problems
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Professionals who balance strategic thinking with hands-on execution
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Candidates energized by owning products at the core of a platform not the periphery
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Individuals who value evidence-based decisions over opinion-driven roadmaps
HireNow Staffing Disclaimer
HireNow Staffing is acting as a direct placement partner for this role. All candidate information is handled confidentially and evaluated against defined requirements. This job description outlines the general scope of responsibilities and qualifications. Duties may evolve based on client needs and business growth. Only candidates meeting the core qualifications will be considered for interview.
Key Skills
- Time Management
- Data Analytics
- Analytical
- Agile
- Requirement Gathering
- Strategic thinking
- Visio
- Communication
- Problem Solving
- Market Research
- UML
- Cross Functional Teams
