You are the entrepreneur of your product. You own the outcome — not just the backlog. That means setting direction, removing obstacles, making hard calls, and being accountable for whether the product succeeds in the market.
Own the Product Outcome
• Drive the roadmap for Non-Human Identity (NHI) Posture and Management — from initial discovery through GA — with clear success metrics tied to business impact.
• Define what winning looks like for each product area: revenue targets, adoption milestones, retention benchmarks, and competitive positioning.
• Make prioritisation decisions with conviction, balancing short-term customer commitments against long-term strategic bets.
• Own the financial success of your product — work closely with GTM, sales, and leadership to understand revenue contribution, pipeline influence, and expansion opportunities driven by product capabilities.
Find and Validate Product–Market Fit
• Treat every new product as a hypothesis: design lightweight experiments, define clear PMF signals, and iterate rapidly until the market responds.
• Own the 0→1 journey for new Non-Human Identity capabilities — from problem validation through early adopter traction to repeatable growth.
• Identify the right customer segment, articulate a crisp value proposition, and ensure positioning is sharp enough to win in a competitive identity security market.
• Know when to pivot and when to push — use data and direct customer signal to make that call early.
Obsess Over Customer Success
• Treat customer outcomes as the ultimate measure of product quality — not features shipped or deadlines met.
• Engage directly and continuously with customers: be present at onboarding, sit in on support escalations, and run regular discovery conversations to stay close to real-world pain.
• Set a high bar for every launch: ensure customers don’t just adopt the product but actively succeed with it and expand usage over time.
• Champion the voice of the customer internally — bring their reality into every roadmap discussion, sprint review, and executive update.
Build with AI — Technically and at Speed
• Rapidly prototype concepts using AI platforms (Claude, OpenAI, Cursor, etc.) to validate ideas before committing engineering resources.
• Architect and execute proof-of-concept builds that demonstrate new product directions to stakeholders and customers with working software, not slides.
• Stay current with the evolving AI tooling landscape and champion adoption of tools that accelerate the team’s velocity.
Data & Analytics
• Instrument products from day one — define the metrics, own the dashboards, and use data to drive every major prioritisation decision.
• Build a continuous improvement loop: measure feature adoption, identify friction, form a hypothesis, test, and iterate.
• Partner with data engineering to ensure the right telemetry is in place before, not after, launch.
Lead Across the Business
• Align engineering, design, sales, and customer success around a shared definition of success — and hold the team accountable to it.
• Drive sprint planning, dependency management, and cross-functional decision-making with clarity and speed. • Communicate roadmap decisions and product strategy to executive stakeholders in the language of business outcomes.