{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Senior Product Manager”, “description”: “
Senior Product Manager, DNEG
Position at DNEG
Key Responsibilities
- 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.
- 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.
- Coordinate with ML researchers, engineers, and data teams.
- Collaborate with UX/UI and creative professionals.
- 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.
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.
Company: DNEG
Location: London
Job Description:
Senior Product Manager, DNEG
Position at DNEG
Key Responsibilities
- 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.
- 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.
- Coordinate with ML researchers, engineers, and data teams.
- Collaborate with UX/UI and creative professionals.
- 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.
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.
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Posted: May 20th, 2026