Product Manager

Key Responsibilities

• Own the Product Vision Across Initiatives: Partner with engineering and leadership to define and articulate the "why" and "what" across multiple product areas and strategic initiatives. Use data, market research, and customer insight to set direction and prioritize ruthlessly.
• Drive the Roadmap with Business and Technical Clarity: Own product roadmaps that reflect both customer needs and business objectives. Communicate the rationale behind prioritization decisions clearly to engineering, executives, and go-to-market partners alike.
• Be the Voice of the Customer: Engage regularly and deeply with customers — from discovery conversations to beta programs. Validate hypotheses, surface unmet needs, and ensure the customer perspective is embedded in every product decision.
• Execute with Precision: Write clear, detailed specifications. Create tickets, draft copy, define acceptance criteria, and partner closely with engineering to ship high-quality product on time.
• Partner Across the Business: Work hand-in-hand with Sales, Marketing, and Customer Success to ensure new features and products are positioned and launched effectively. Support deal cycles, create GTM materials, and drive adoption of what you ship.
• Inspire Cross-Functional Teams: Rally engineering, design, data science, and business stakeholders around a shared vision. Be a clear communicator and a collaborative leader who helps teams do their best work.
• Contribute to Company Strategy: Help identify new market opportunities, inform product strategy at the portfolio level, and contribute to Sift's long-term product direction.

Qualifications

• 5+ years of Product Management experience in B2B SaaS, ideally in fraud prevention, trust & safety, fintech, or adjacent domains
• Proven ability to own multiple products or workstreams simultaneously, balancing short-term delivery with long-term vision
• Strong track record of converting customer insights and business requirements into successful product features
• Experience working closely with engineers, data scientists, and designers — comfortable in technical conversations without needing to be an engineer
• Demonstrated ability to partner with Sales, Marketing, and Customer Success to drive GTM execution, launch, and adoption
• Excellent communication skills — present strategy to the C-suite, write a tight product spec, and run a customer interview all in the same week
• Data-driven mindset with experience using analytics and customer feedback to inform decisions

Bonus Points

• Experience in fraud prevention, identity, or payments
• Familiarity with machine learning concepts and working with data science teams
• Experience with enterprise customer-facing work: QBRs, Design Partner and Early Access projects, advisory boards, etc.