Original listing text, shown exactly as published by the company.
WHAT YOU WILL DO
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.
WHAT YOU BRING
•10 years of product management experience, with at least 4 years in a B2B SaaS environment.
- Hands-on experience building with AI tools (Claude, OpenAI APIs, Cursor, or similar) — and fluency in structured, spec-driven AI development: you write clear specs, use AI to accelerate implementation, and review and own the output. Not just vibe coding.
- Strong software development background — you’ve written production-quality code in one or more of Go (Golang), Java, Python, or JavaScript, and can reason deeply about system architecture, APIs, and data models.
- Solid grasp of identity and access management concepts (SSO, RBAC, directory services, identity governance, Non-Human Identity) — experience with identity security or Zero Trust architecture is strongly preferred.
- Track record of leading cross-functional teams and delivering complex features on time.
- Exposure to LLM fine-tuning, prompt engineering, or AI agent workflows.
- Excellent written and verbal communication skills — you can simplify the complex.
Nice to Have
- Prior experience at an early-to-mid stage startup where you wore multiple hats. • Hands-on experience building LLM-based applications using frameworks such as LangChain, LlamaIndex, or RAG (Retrieval-Augmented Generation) patterns.
