Senior Product Manager– Network Discovery

Responsibilities

• Lead the Network Discovery product area, including discovery capabilities, vendor and technology support, data quality, scalability, and related platform foundations.
• Make product decisions balancing customer needs, technical constraints, business impact, and long-term product direction.
• Work with Engineering, UX, Field teams, and customers to understand problems, validate priorities, and define product scope.
• Own roadmap decisions, including what to build, defer, or deliberately not pursue.
• Improve the reliability, coverage, speed, and usefulness of network discovery capabilities.
• Translate technical complexity into clear priorities, problem statements, and delivery plans.
• Use customer evidence, product data, field input, and technical judgment to prioritize work.
• Partner with Engineering on solutions, trade-offs, quality, and product value.
• Use AI to improve product discovery, vendor support analysis, workflow understanding, prioritization, documentation, and internal practices.

Requirements

• 8+ years of Product Management experience, ideally in B2B, enterprise software, infrastructure, platform, security, observability, networking, or another technically complex domain.
• Strong product judgment and prioritization skills in complex stakeholder environments.
• High ownership, agency, and ability to create momentum without waiting for consensus.
• Hands-on experience writing problem statements, analyzing customer input, reviewing technical trade-offs, shaping scope, and driving alignment.
• Practical experience using AI tools for discovery, analysis, writing, synthesis, prioritization, prototyping, customer understanding, and decision support.
• Ability to operate at strategic and detailed levels, from product direction and roadmap trade-offs to feature scope, edge cases, and release readiness.
• Customer fluency, including speaking with users, validating problems, identifying patterns, and applying feedback to product decisions.
• Strong collaboration with Engineering and ability to balance customer value with implementation realities.
• Comfort operating with ambiguity and making progress without perfect data.
• Clear communication of decisions, trade-offs, and priorities across Product, Engineering, GTM, and leadership.

Nice-to-haves

• Networking experience.
• Experience applying AI or machine learning to product capabilities, customer workflows, automation, or internal product practices.
• Curiosity, learning speed, technical humility, and willingness to develop deep domain knowledge.

Compensation and Benefits

• 25 days of holidays.
• Full remote role possible.
• Anniversary rewards.
• Collaboration with diverse, international teams.
• Regular team and company events.