At a Glance
- Tasks: Lead AI integration to enhance product development and streamline workflows.
- Company: Join Rightmove, the UK's largest property platform with a supportive culture.
- Benefits: Enjoy competitive pay, hybrid work, generous holiday, and health perks.
- Other info: Be part of a diverse team that values innovation and collaboration.
- Why this job: Shape the future of AI in product management and make a real impact.
- Qualifications: Experience in managing technical products and understanding software development.
The predicted salary is between 60000 - 80000 £ per year.
Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen. We’re home to the UK’s largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what’s on the market.
The AI Enablement team accelerates how product and engineering teams deliver value by enabling safe, effective, high‑quality adoption of AI‑native tools, practices and agentic workflows. We partner across the organisation to reduce friction, enhance developer productivity, and drive governed AI integration at scale. As the Technical Product Manager for the AI Enablement team, you will help shape how product development teams adopt AI responsibly and effectively; establishing platforms and enabling agentic workflows with patterns, frameworks, and enablement practices that scale across engineering and product development to increase productivity and quality. This is a highly cross‑functional role requiring strong technical fluency, exceptional stakeholder alignment skills, and a deep understanding of the product lifecycle and software engineering workflows.
Key Outcomes For This Role
- Customer-Centric AI Enablement: Internal engineering and product teams experience limited friction in the adoption of production‑grade AI tools, agents and workflows that directly address the bottlenecks, friction, and inefficiencies in the product development lifecycle.
- Accelerated Time-to-Value: Teams deliver software faster and more efficiently through AI‑enhanced product development, testing, documentation, and operational workflows. High‑impact use cases are identified, validated, and rolled out systematically across teams.
- Clear Business Alignment & Visibility: AI enablement initiatives and the roadmap are tied directly to engineering productivity, business value streams, and strategic priorities. Communication of impact, tradeoffs, and adoption progress is transparent and visible to stakeholders.
- Data-Driven Decision Making: Clear AI enablement metrics (adoption, velocity improvements, model performance, workflow usage) drive prioritisation and planning. Teams focus on the highest‑value problems through insight‑led prioritisation.
Key Responsibilities
- Internal Customer Insights: Maintain an understanding of engineering, product, QA, security, and operations teams’ AI needs, friction points, and opportunities. Use structured research, platform telemetry, surveys, and direct engagement to guide prioritisation.
- AI Platform & Capability Decision: Working with Technology Leadership shape the internal AI platform strategy: capabilities, use cases, patterns, and adoption pathways. Define “what good looks like” for AI‑native and agentic workflows.
- Product Roadmaps & Delivery: Own and maintain a clear AI enablement roadmap that balances customer needs, capability maturity, governance, and organisational priorities. Ensure tradeoffs and recommendations are well‑articulated with supporting data.
- Governance, Safety & Scalability: Partner with security, compliance, data, and architecture teams to ensure all AI adoption is safe, governed, and scalable. Translate emerging risks and constraints into product decisions and prioritization frameworks.
- Enablement & Adoption: Create clear documentation, playbooks, and training materials for AI tooling and workflows. Partner with engineering teams to pilot new AI capabilities, capture learnings, and scale successful patterns across product development.
We're looking for someone who has experience managing technical products (developer tools, ML/AI systems, automation platforms, and multi‑agent systems). Understands the software development lifecycle, DevOps/SRE practices, and the realities of engineering and product delivery workflows. Has strong empathy for engineers and enjoys spending time with users to deeply understand workflows and bottlenecks. Can translate complex technical opportunities into clear business value and narrative. Is highly structured, self‑directed, and capable of aligning diverse stakeholders. Enjoys experimentation and can balance rapid iteration with risk‑aware governance.
We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 88% of Rightmovers saying we’re a great place to work, we’re clearly doing something right!
As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation. At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success.
Technical Product Manager (AI Enablement) employer: Rightmove
Rightmove is an exceptional employer that fosters a friendly and supportive work environment, where employees are encouraged to grow and develop their careers. With a strong emphasis on collaboration, diversity, and employee well-being, the company offers a competitive benefits package, including private medical insurance, generous holiday allowances, and opportunities for volunteering. Located in London, the hybrid working model allows for flexibility while being part of a team that values innovation and measurable impact.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Product Manager (AI Enablement)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Rightmove. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI tools and product management. This is your chance to demonstrate how you can add value to the team.
✨Tip Number 3
Be ready for the interview! Research common questions for Technical Product Managers and think about how your past experiences align with Rightmove's vision. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Rightmove family.
We think you need these skills to ace Technical Product Manager (AI Enablement)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Technical Product Manager role. Highlight your experience with AI tools and product management, and show us how you can help enhance our engineering productivity.
Showcase Your Technical Skills:We want to see your technical fluency! Include specific examples of how you've managed technical products or improved workflows in previous roles. This will help us understand your fit for the AI Enablement team.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Rightmove
✨Know Your AI Stuff
As a Technical Product Manager for AI Enablement, it's crucial to have a solid grasp of AI tools and practices. Brush up on the latest trends in AI and be ready to discuss how they can enhance product development. Show that you understand both the technical aspects and the business value they bring.
✨Understand the Product Lifecycle
Familiarise yourself with the software development lifecycle and how AI fits into it. Be prepared to talk about your experience managing technical products and how you've navigated challenges in engineering workflows. This will demonstrate your ability to align with the company's goals.
✨Empathy is Key
Showcase your empathy for engineers by discussing how you've engaged with users to identify their pain points. Share specific examples of how you've translated complex technical opportunities into clear business narratives that resonate with stakeholders.
✨Be Data-Driven
Highlight your experience with data-driven decision-making. Discuss how you've used metrics to prioritise projects and improve workflows. Being able to articulate how you've measured success in previous roles will set you apart as a candidate who can drive impact.
