4 дня назад
Product Manager - AI Observability
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager - AI Observability (AI/Observability): Shaping an AI-assisted observability roadmap that helps technology teams detect, diagnose, and resolve incidents while reducing reliability toil and cost, with an accent on user-centric product discovery, data-driven experimentation, and agentic AI. Focus on translating complex observability requirements into deliverable product increments, driving adoption across engineering and operations, and improving system reliability and customer experience.
Location: Welwyn Garden City, United Kingdom; hybrid, with 60% of the week spent collaborating at office locations or local sites and the remainder remotely.
Company
Tesco operates across grocery retail, technology, and mobile services, developing solutions that support customers, colleagues, and communities.
What you will do
- Shape the AI-assisted strategy and long-term roadmap for observability and incident management.
- Manage stakeholder expectations and dependencies across engineering, operations, product, and leadership teams.
- Translate user needs into user stories, personas, acceptance tests, and smaller deliverable product increments.
- Lead sprint and release planning to maximize business value while managing delivery effort.
- Lead MVP discovery, prototyping, validation, and experiments based on defined hypotheses.
- Drive improvements in technology incident detection, diagnosis, resolution, reliability, and customer experience.
Requirements
- At least 2 years of product management experience.
- Experience collaborating with engineering, operations, product, and leadership teams, including mediating conflicting priorities and building consensus.
- Strong understanding of observability pillars, including logs, metrics, and traces, plus distributed systems and microservices.
- Hands-on knowledge of tools such as New Relic, Splunk, Grafana, VM, and OpenTelemetry.
- Familiarity with software development lifecycles, CI/CD, DevOps, APIs, and backend applications.
- Knowledge of LLMs and agentic AI, with experience scaling AI-driven products and using data to guide product decisions.
Nice to have
- Technical education in computer science, engineering, or equivalent experience.
- Previous experience in observability and building or managing observability systems.
- Proven success solving unstructured problems, defining hypotheses, creating MVPs, running experiments, and analyzing results.
- Understanding of how observability affects availability, reliability, customer satisfaction, and business outcomes.
Culture & Benefits
- Hybrid working model with office and remote collaboration.
- Annual bonus scheme of up to 20% of base salary.
- At least 25 days of holiday plus a personal day and bank holidays.
- Private medical insurance and a free 24/7 virtual GP service.
- Paid maternity, adoption, and paternity leave, plus an Employee Assistance Programme and mental wellbeing support.
- Inclusive and accessible recruitment process with flexible working discussions available.
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