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 please get in touch.
What is in it for you We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Here to find out more!
- Annual bonus scheme of up to 20% of base salary.
- Holiday starting at 25 days plus a personal day (plus Bank holidays).
- Private medical insurance.
- 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave.
- Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.
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 lifecycles, CICD and DevOps. Exposure to APIs, Backend Apps.
Data Analysis:
Ability to interpret patterns, anomalies and opportunities from complex sets of data.
Understanding of AI concepts
Knowledge of LLMs, agentic AI
Experience scaling AI-driven products
Preferred Background:
Min 2 years of Product management experience.
Technical education: degrees in computer science, engineering or equivalent experience
Having proven success in working on unstructured problems, defining hypothesis, creating MVPs, running experiments and analysing results to drive data-driven decisions.
Understanding how observability impacts business like availability/reliability, customer
Satisfaction and business impact.
Prior experience in observability
proven track record in building and managing observability systems.
Prioritisation and decision-making skills demonstrating how these have taken into account business priorities, complexity, dependencies and value.