Product Manager/Senior Product Manager

We are looking for a technically sharp and AI-curious Product Manager to join our Non Human Identity Product team. In this role, you will sit at the intersection of product strategy and hands-on innovation — translating complex identity security challenges into elegant, data-driven product experiences. You will be expected to not just define what to build, but actively prototype solutions using modern AI tools, collaborate tightly with engineering, and own outcomes end to end. This is a high-impact role for someone who loves rolling up their sleeves, has a strong engineering foundation, and is genuinely excited about the possibilities of AI-accelerated product development.

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.

 

• 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. 

 

• 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. 

 

• 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. 

 

• 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. 

 

• 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. 

 

• 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. 

 

 

 

 

 

 

• 5–6 years of product management experience, with at least 2 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.

 

• 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.