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The Senior Product Manager will drive the development and execution of ML-powered products for creating high-fidelity audiovisual artificial content, bridging the intersection of business strategy, user experience, and technical innovation. You will lead product development from ideation to launch, ensuring alignment with business goals and market needs while integrating cutting-edge generative AI.
Key Responsibilities
Product Strategy & Vision
Define and communicate product vision, strategy, and roadmap aligning with business objectives. Identify market opportunities to leverage core ML capabilities. Establish and track success metrics and KPIs. Translate technical ML concepts into clear value propositions.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Technical Product Management
Develop comprehensive product requirements and user stories. Manage product backlog prioritisation. Ensure ML models integration into scalable product experiences. Research emerging technologies to inform decisions.
Cross-Functional Leadership
Coordinate with ML researchers, engineers, and data teams. Collaborate with UX/UI and creative professionals.
Innovation & Market Exploration
Monitor market trends and evaluate new technologies. Guide explorations into next-gen generative models.
Must Haves
5+ years product management experience; minimum 2 years in ML products. Experience managing full product lifecycle (ideation to launch). Proven record in strategic planning for B2B SaaS products. Solid agile methodologies understanding. Technical competency in ML lifecycle and data strategies. Excellent communication and stakeholder management skills. Experience leading cross-functional teams.


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Nice to Have
Familiarity with infrastructure for large-scale ML operations. Experience with content production and creative technologies. Bachelor’s Degree in Computer Science, Engineering, Business, or relevant experience.
About You
Strategic thinker with strong analytical skills. Collaborative and proactive leader. Able to navigate complexity and ambiguity effectively.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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