Product Manager - AI Observability - Welwyn Garden City, United Kingdom of Great Britain and Northern Ireland

b Overview /b p As Product Manager for the Observability and Incident Management Team, you will steer the culture and roadmap for how colleagues interact with observability data and AI-enabled reliability. You will partner with stakeholders to influence technical and cultural strategy across channels, delivering data-driven decisions that impact customers, colleagues, and the Tesco brand. You will enable faster detection, diagnosis and resolution of incidents while reducing toil and cost through AI. This role offers a concrete impact on delivering reliable services that support groceries delivery and exceptional experiences. /p b Pay / Benefits /b ul li Annual bonus up to 20% of base salary /li li Holiday starting at 25 days plus personal day /li li Private medical insurance /li li Maternity and adoption leave (26 weeks) with 6 weeks paid paternity leave /li li Virtual GP service /li li Employee Assistance Programme (EAP) for wellbeing /li /ul b Responsibilities /b ul li Engage with stakeholders and Lead Product Manager to shape AI-assisted strategy and long-term roadmap, managing expectations across multiple products/teams /li li Identify user personas, customers, and stakeholders and their pain points /li li Document and explain new requirements to engineering using user stories, personas, and acceptance tests; break down complex work into deliverable chunks /li li Steer sprint and release planning with delivery partners to maximise business value with efficient effort /li li Lead discovery for MVPs of new products/features, collaborating with delivery teams to prototype and validate /li li Drive experiments and data-driven decisions on product improvements and impact on performance indicators /li /ul b Key requirements /b ul li Collaboration and cross-functional alignment across engineering, operations, product and leadership /li li Ability to mediate conflicting priorities and drive consensus /li li User-centric approach with empathy for end users (developers, operators) /li li Change management experience introducing new processes, concepts and tools /li li Ability to drive adoption of observability practices within the organization /li li Influence and advocacy as a champion for observability and proactive reliability /li li Understanding of observability concepts (logs, metrics, traces) and distributed systems /li li Hands-on experience with tools like New Relic, Splunk, Grafana, Open Telemetry /li li Software development lifecycle, CI/CD and DevOps familiarity; APIs and backend apps /li li Data analysis with ability to interpret patterns and anomalies /li li Knowledge of AI concepts, LLMs, agentic AI; experience scaling AI-driven products /li li Minimum 2 years of Product Management experience /li li Technical education in computer science, engineering or equivalent experience /li li Proven ability to work on unstructured problems, run experiments, and analyse results /li /ul ul li Interpersonal and leadership abilities /li li Cross-functional collaboration /li li Conflict resolution and consensus-building /li li Observability concepts (logs, metrics, traces) /li li Distributed systems and microservices understanding /li li Observability tools (New Relic, Splunk, Grafana, Open Telemetry) /li /ul