Product Manager - AI Observability

We have an exciting opportunity for a Product Manager to be part of our exciting Observability and Incident Management Team, which impacts every part of our core technology and the highly experienced technology and product teams who use them. You will play a pivotal role in our journey to influence both the technical and cultural strategy across our channels. Supporting teams to gain the insight they need to make data driven decisions that directly impact our brand, our bottom line and overall colleagues and customer experience.

You will be responsible for shaping the culture and driving the roadmap for how colleagues will interact with observability data in future, utilising AI to reduce the toil and cost of maintaining system reliability, and contributing to reducing the impact of technology incidents. As a Product Manager you will also ensure AI is utilised to improve observability outcomes and for shaping the agentic approach that underpins it — driving faster detection, diagnosis and resolution of technology incidents.

Ultimately, we are solving problems to ensure groceries are delivered to stores, colleagues can do their jobs and customers have a great experience whenever interacting with Tesco.

If you’re a Product Manager that’s customer focused, thrives with hard problems, loves a fast-moving environment, and wants to make a real difference to our colleagues across the globe then

• Engage with stakeholders and Lead Product Manager to formulate the AI assisted strategy and long-term roadmap and execute it well by constantly managing the stakeholders expectations, working through dependencies across multiple products/ teams

• Understand key user personas, customers & stakeholders for my product and their pain points

• Effectively document and explain new requirements to the engineering team using user stories, personas, and acceptance tests and help the team in breaking down a complex piece of work/ epic into smaller, deliverable chunks of value that can be delivered faster

• Steer sprint/ release planning sessions by working with my delivery counterparts to plan sprints/ releases that deliver maximum business value in least effort

• Lead discovery work around minimum viable product (MVP) for any new product/feature, collaborating with delivery teams to prototype and validate the MVP

• Drive experiments against defined hypotheses, create MVPs towards robust data-driven decisions on product improvements and their influence on product performance indicators

Interpersonal and leadership skills:

• Collaboration and cross functional alignment

  • Ability to work with diverse teams including engineering, operations, product and leadership

  • Skilled at mediating between conflicting priorities and driving consensus

• User-centric approach

  • Empathy for end users (developers, operators), ensuring solutions are intuitive and effective

• Change Management

  • Experience in leading initiatives that introduce new processes, concepts and tools

  • Ability to drive adoption of observability practices within the organization

• Influence and advocacy

  • serve as a champion for observability, fostering a culture the proactive monitoring and reliability

Technical

Skills:

• Understanding observability concepts:

  • strong grasp of the observability pillars - logs, metrics, traces

  • familiarity with distributed systems, microservices and their challenges

• Experience with Observability tools:

  • Hands on knowledge of tools like New Relic, Splunk, Grafana, VM and Open Telemetry

  • Exposure to trends in observability frameworks and standards.

• Engineering experience:

  • Ability to collaborate with engineering, understanding their points and translate into product needs.

  • Familiarity with software development life cycles, CICD and Dev Ops. Exposure to APIs, Backend Apps.

• Data Analysis:

  • Abili…