Product Manager shaping product strategy and execution in AI - driven enterprise solutions at Tessera Labs. Collaborating across teams to deliver measurable business impact with innovative products.
About the role
- Lead Technical Product Manager at Cloudinary developing the next generation of media management APIs. Collaborating with teams to enhance brand asset management and integration of AI capabilities.
Responsibilities
- Define the next generations of Cloudinary’s services to expand our leadership in image and video management.
- Create detailed product requirements for new features, API capabilities, SDK interfaces, and development framework integrations.
- Partner closely with other Cloudinary product groups to evolve and scale the Platform Media Management APIs.
- Lead the integration of AI capabilities, including generative media, intelligent automation, and next-generation Cloudinary AI Agents for developers and enterprise workflows.
- Build and maintain a product roadmap aligned with product leadership and the company’s executive strategy.
- Work directly with customers to improve adoption, understand use cases, and influence roadmap and product direction.
- Conduct continuous analysis of customer needs, market trends, and competitive landscape to inform future product decisions.
- Define and track key product metrics that guide product success and prioritization.
- Collaborate with internal and external R&D stakeholders, Technical Writing, UI/UX, Customer Success, Solutions, Support, and Marketing.
- Serve as a core member of the Product team, becoming the subject matter expert and a strong advocate for the Cloudinary Developer Community.
Requirements
- 5+ years of experience as a Software Engineer or Architect of modern web applications and services.
- 3+ years of experience as a Product Manager responsible for a SaaS product.
- Strong understanding of the full product lifecycle: strategy, definition, UX/UI, engineering, QA, and delivery.
- Highly technical, with hands-on experience in modern web technologies and complex architectures.
- High proficiency in AI-driven workflows - including the use of LLMs, AI-assisted coding tools, and generative AI - with the ability to adopt emerging AI capabilities early and leverage them to increase team velocity and product innovation.
- Genuine Agile mindset and experience driving Agile processes to improve collaboration and delivery.
- Quick learner with strong decision-making ability in complex and dynamic environments.
- Naturally curious, proactive, and detail-oriented.
- Strong team player who thrives in a fast-paced, startup-like environment.
- Bachelor’s degree in Computer Science or equivalent experience.
- Fluent English, written and verbal.
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