Senior Product Manager – Graph Intelligence & Signals

HireNow StaffingSeattle, WA
8h$170,000 - $200,000Remote

About The Position

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 management—you 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 .

Requirements

  • 4–6 years of product management experience
  • Demonstrated experience in data-driven product development
  • Strong technical understanding of predictive analytics, risk modeling, and graph-based systems
  • Proven ability to drive the full product lifecycle from discovery to delivery
  • Experience working closely with engineering and data science teams on technically complex products
  • Ability to operate effectively in fast-paced, ambiguous SaaS or technology environments
  • Strong communication skills with the ability to influence and align cross-functional teams

Nice To Haves

  • Hands-on experience enhancing fraud detection capabilities using graph intelligence or signal-driven approaches
  • Direct exposure to graph-based fraud detection tools or large-scale signal platforms
  • Track record of rigorous product discovery and data-informed decision-making
  • Experience supporting go-to-market strategy for complex, technical products
  • Execution-focused mindset with a history of delivering measurable product impact

Responsibilities

  • Own the end-to-end product lifecycle for graph intelligence and signals products, from discovery through delivery and continuous optimization
  • Translate complex technical concepts—including graph-based relationships, signals, and predictive models—into scalable, customer-facing features
  • Lead rigorous product discovery , partnering closely with engineering and data science to validate problems, test solutions, and prioritize impact
  • Enhance fraud detection capabilities and ensure seamless integration across a broader risk and decisioning platform
  • Drive product execution with clear requirements, success metrics, and delivery milestones
  • Use data, model feedback loops, and customer insights to continuously refine product performance and outcomes
  • Collaborate cross-functionally with go-to-market, sales, and customer-facing teams to support launches, adoption, and positioning
  • Communicate product vision, tradeoffs, and decisions clearly to technical and non-technical stakeholders
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