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Job Description
🚀 AI-Native Product Ownership
- Own a product surface end-to-end from discovery and solution design to production deployment and customer adoption.
- Build LLM-powered workflows that eliminate manual effort across the quality engineering lifecycle.
- Build and integrate AI agents into the existing platform, including MCPs, and prototype directly with Claude and other LLMs.
- Take ownership of product outcomes, not just requirements from defining the problem to shipping and improving the solution.
⚙️ Execution & Operational Excellence
- Drive sprint planning, remove engineering roadblocks, manage technical debt, and maintain a strong shipping cadence.
- Use product analytics to identify user drop-offs, uncover friction, and improve the overall product experience.
- Keep the roadmap, priorities, and execution transparent across engineering, sales, and other stakeholders.
🧠 Strategic Growth & Discovery
- Build and own the roadmap for your product surface from the ground up treating it like your own business, not a handed-down backlog.
- Conduct deep user interviews and build continuous feedback loops with quality engineering teams, turning insights into shipped product improvements.
- Stay close to customers, articulate why TestMu AI wins, and create the documentation and collateral that strengthens that story.
- Product depth. You have owned products end to end in a product role APM or PM, not an adjacent title.
- SaaS foundation. You have shipped in SaaS. B2B is where you will be most at home.
- AI in your hands, daily. You use LLMs as an operating system, not a feature. You can walk us through a workflow you built and shipped.
- Communication clarity. You will sit between engineering, sales, and customers. Clarity is not a soft skill in this role it is the job.
- Extreme Ownership: Takes full accountability for outcomes, not just tasks.
- Round I · Hiring Manager: Product discovery and the reasoning behind your prioritisation and roadmap decisions.
- Round II · Product Lead: AI and execution how you use LLMs today, and what you have built from zero.
- Round III · VP Engineering: Solving for scale technical debt, API and agent integration, communicating risk to stakeholders.
- Final · Leadership: Vision alignment. Readiness to lead the move from manual-heavy testing to agentic intelligence.
Skills
LLMProduct ManagementPrototypingCommunicationLeadershipTeamsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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