DNEG - Senior Product Manager - Brahma AI

Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises and creators innovate at scale.
Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliver standout content with speed and efficiency.
Part of the DNEG Group, Brahma brings together Hollywood's leading creative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content.
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.
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 Have:
- 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.
About You:
Strategic thinker with strong analytical skills.
Collaborative and proactive leader.
Able to navigate complexity and ambiguity effectively.