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

Overview

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.

Pay / Benefits

• Annual bonus up to 20% of base salary
• Holiday starting at 25 days plus personal day
• Private medical insurance
• Maternity and adoption leave (26 weeks) with 6 weeks paid paternity leave
• Virtual GP service
• Employee Assistance Programme (EAP) for wellbeing

Responsibilities

• Engage with stakeholders and Lead Product Manager to shape AI-assisted strategy and long-term roadmap, managing expectations across multiple products/teams
• Identify user personas, customers, and stakeholders and their pain points
• Document and explain new requirements to engineering using user stories, personas, and acceptance tests; break down complex work into deliverable chunks
• Steer sprint and release planning with delivery partners to maximise business value with efficient effort
• Lead discovery for MVPs of new products/features, collaborating with delivery teams to prototype and validate
• Drive experiments and data-driven decisions on product improvements and impact on performance indicators

Key requirements

• Collaboration and cross-functional alignment across engineering, operations, product and leadership
• Ability to mediate conflicting priorities and drive consensus
• User-centric approach with empathy for end users (developers, operators)
• Change management experience introducing new processes, concepts and tools
• Ability to drive adoption of observability practices within the organization
• Influence and advocacy as a champion for observability and proactive reliability
• Understanding of observability concepts (logs, metrics, traces) and distributed systems
• Hands-on experience with tools like New Relic, Splunk, Grafana, Open Telemetry
• Software development lifecycle, CI/CD and DevOps familiarity; APIs and backend apps
• Data analysis with ability to interpret patterns and anomalies
• Knowledge of AI concepts, LLMs, agentic AI; experience scaling AI-driven products
• Minimum 2 years of Product Management experience
• Technical education in computer science, engineering or equivalent experience
• Proven ability to work on unstructured problems, run experiments, and analyse results

• Interpersonal and leadership abilities
• Cross-functional collaboration
• Conflict resolution and consensus-building
• Observability concepts (logs, metrics, traces)
• Distributed systems and microservices understanding
• Observability tools (New Relic, Splunk, Grafana, Open Telemetry)

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