At a Glance
- Tasks: Drive AI product vision and strategy while collaborating with diverse teams.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to work on cutting-edge AI technologies.
- Why this job: Shape the future of AI solutions and make a real impact in the industry.
- Qualifications: Proven experience in product management and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Key Responsibilities
- Define and drive product vision, strategy, and roadmap for AI solutions, grounded in user needs, business value, and technical feasibility.
- Lead and/or support backlog creation, refinement, prioritisation, and feature definition to ensure continuous value delivery.
- Establish, track, and communicate clear success metrics and product KPIs, including developing financial models to demonstrate ROI and business impact.
- Facilitate workshops and alignment sessions to help stakeholders understand trade-offs and make informed decisions.
- Translate complex or ambiguous business requirements into clear, outcome-focused user stories, supported by data and experimentation frameworks.
- Collaborate closely with engineering, architecture, and delivery teams to identify, validate, and deliver AI-enabled opportunities across the product lifecycle.
- Lead multidisciplinary teams (pods), fostering focus, alignment, and high-quality execution of AI use cases.
- Create clear and compelling communication materials, ranging from executive-level reports to detailed delivery updates.
Required Skills & Experience
- Proven track record as a Product Manager in a digital environment, preferably within a client-facing or consulting context.
- Excellent communication skills with the ability to engage, influence, and manage a diverse set of stakeholders.
- Strong product mindset with a focus on problem-solving, value creation, and a willingness to challenge the status quo.
- Solid understanding of automation, workflow optimisation, and process re-engineering.
- Ability to simplify and communicate complex concepts, including AI/ML, in a clear and accessible manner.
Desirable Experience
- Experience within the Energy & Utilities sector.
- Strong understanding of AI technologies relevant to utilities, including LLMs, NLP, summarisation techniques, Retrieval-Augmented Generation (RAG), and traditional machine learning approaches.
Product Manager – AI in Coventry employer: HCLTech
As a leading employer in the AI sector, we offer an innovative work culture that prioritises collaboration and creativity, allowing our Product Managers to thrive in a dynamic environment. Our commitment to employee growth is evident through tailored development programmes and opportunities to work on cutting-edge AI solutions that make a real impact in the Energy & Utilities sector. Located in a vibrant city, we provide a supportive atmosphere where diverse ideas are celebrated, ensuring that every team member can contribute meaningfully to our mission.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager – AI in Coventry
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI product management. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or case studies that highlight your experience with AI solutions. This could be anything from projects you've led to innovative ideas you've implemented. Make sure to share this when you chat with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI technologies relevant to utilities. Be ready to discuss how you've tackled complex problems and delivered value in past roles. Practice articulating your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to showcase how your experience aligns with the role of Product Manager – AI, and let us see your passion for driving innovation!
We think you need these skills to ace Product Manager – AI in Coventry
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how you connect with the technology and its potential. Share any relevant projects or experiences that highlight your passion and understanding of AI solutions.
Tailor Your Application:Make sure to customise your application to reflect the key responsibilities and skills mentioned in the job description. We love seeing candidates who take the time to align their experience with what we're looking for, especially around product vision and strategy.
Be Clear and Concise:We appreciate straightforward communication, so keep your application clear and to the point. Use bullet points where possible to highlight your achievements and skills, especially those related to product management and stakeholder engagement.
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. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at HCLTech
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies relevant to the utilities sector. Be ready to discuss how LLMs, NLP, and other techniques can be applied in real-world scenarios. This shows you’re not just familiar with the buzzwords but can actually translate them into value.
✨Showcase Your Product Mindset
Prepare examples from your past experience where you’ve defined product vision and strategy. Highlight how you’ve prioritised features based on user needs and business value. This will demonstrate your ability to think critically and strategically about product management.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You might need to break down AI/ML ideas for stakeholders who aren’t as tech-savvy. Being able to communicate effectively is key, so consider doing mock interviews with friends or colleagues to refine your delivery.
✨Engage Stakeholders
Think about how you can facilitate workshops or alignment sessions. Prepare to discuss how you’ve previously managed diverse stakeholders and helped them make informed decisions. This will show that you can lead multidisciplinary teams and keep everyone focused on delivering value.
