[Hiring] Senior Product Manager – Network Discovery @IP Fabric

Role Description

At IP Fabric, we help global enterprises uncover the truth about their networks. Our platform gives infrastructure, security, and operations teams the visibility they need to understand complex hybrid networks, reduce risk, and make better decisions.

We are expanding our Product team with a Senior Product Manager to lead the Network Discovery product area, one of the most critical foundations of our platform. Network Discovery is where IP Fabric earns trust: collecting, interpreting, normalising, and modelling network data across vendors, technologies, and environments.

This role is for a product leader with strong judgement, high ownership, and the ability to turn complex technical and customer problems into clear product decisions. You do not need to be a deep networking expert from day one, but you must be willing to go deep, learn fast, work closely with technical teams, and make sound decisions in ambiguity.

We are looking for someone who is hands-on, pragmatic, and outcome-driven. Someone who does not wait for perfect information but can gather enough signal, make the right trade-offs, and move the product forward.

In this role, you will:

• Lead the Network Discovery product area, including discovery capabilities, vendor and technology support, data quality, scalability, and related platform foundations.
• Make high-quality product decisions in complex and ambiguous situations, balancing customer needs, technical constraints, business impact, and long-term product direction.
• Work hands-on with Engineering, UX, Field teams, and customers to understand problems deeply, validate priorities, and turn discovery insights into clear product scope.
• Own roadmap decisions for your area, including what we build, what we defer, and what we deliberately choose not to do.
• Drive measurable customer outcomes by improving the reliability, coverage, speed, and usefulness of IP Fabric's network discovery capabilities.
• Translate technical complexity into clear priorities, crisp problem statements, and actionable delivery plans.
• Use customer evidence, product data, field input, and technical judgement to make prioritisation decisions, not just stakeholder pressure or the loudest request.
• Partner closely with Engineering to shape solutions, manage trade-offs, and ensure we deliver product value with the right level of quality.
• Raise the standard of product thinking across the organisation through clarity, ownership, and disciplined decision-making.
• Use AI practically to improve product discovery, vendor support analysis, customer workflow understanding, prioritisation, documentation, and internal product practices.

Qualifications

• 8+ years of Product Management experience, ideally in B2B, enterprise software, infrastructure, platform, security, observability, networking, or another technically complex domain.
• Strong product judgement: you can distinguish urgent from important, customer pain from customer preference, and strategic opportunities from distractions.
• High agency: you take ownership, create momentum, and do not wait for someone else to define the next step.
• Hands-on product leadership: you are comfortable writing problem statements, analysing customer input, reviewing technical trade-offs, shaping scope, and driving alignment yourself.
• Practical use of AI in product work: you actively use AI tools to accelerate discovery, analysis, writing, synthesis, prioritisation, prototyping, customer understanding, and decision support.
• Strong prioritisation skills in complex stakeholder environments, especially where customer requests, technical debt, platform needs, and commercial pressure compete.
• Ability to operate at both strategic and detailed levels, from product direction and roadmap trade-offs to specific feature scope, edge cases, and release readiness.
• Customer fluency: you know how to speak with users, validate problems, identify patterns, and turn feedback into better product decisions.
• Strong collaboration with Engineering: you can work with technical teams respectfully, challenge constructively, and make decisions that balance customer value with implementation reality.
• Comfort with ambiguity: you can make progress without perfect data, while knowing when more discovery is needed before committing.
• Clear communication: you can explain decisions, trade-offs, and priorities in a way that builds trust across Product, Engineering, GTM, and leadership.
• Networking experience is valuable, but not mandatory. Curiosity, learning speed, technical humility, and the willingness to go deep matter more.
• Experience applying AI/ML to product capabilities, customer workflows, automation, or internal product practices is highly valued.

Benefits

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