AI Product Builder

Deepdub is building the voice layer of AI. Our proprietary eTTS GenAI voice model powers next-generation dubbing, voice agents, enterprise APIs, and real-time multilingual broadcasting already trusted by Fortune 500 companies across 130+ languages. We're a fast-growing, investor-backed company on a mission to make every story resonate in any language.

We're not looking for someone to manage a backlog. We're looking for a builder, someone who arrives on Day 1 ready to learn the product inside out, live and breathe it, and move fast. Someone who can see where the market is heading before the market itself does.

About the role:

You'll own the product end-to-end: from spotting the opportunity to shipping it and growing it. You'll work closely with engineering, research, sales, and customers, and you'll be the connective tissue between all of them. You'll define what we build next and why, ground every decision in data, and drive the whole company forward.

Responsibilities:

• Own end-to-end feature definition and product specifications for core products.
• Drive the productization of machine learning models into reliable, production-ready services.
• Lead cross-functional execution with engineering, research, design, and operations.
• Define product vision and strategy while maintaining hands-on execution.
• Conduct competitive research, monitor market trends, and identify product gaps and opportunities.
• Gather insights from customers and internal stakeholders to inform product decisions.
• Translate requirements into clear, prioritized product roadmaps.
• Define KPIs, track performance, and iterate quickly based on data-driven insights.
• Accelerate product growth through integrations with platforms, partners, and ecosystem players.
• Ensure continuous alignment with the CTO on strategy, priorities, and long-term vision.
  
  

• 5+ years in product management, with at least 3 of those in a startup environment.
• Experience with at least 2 of the following: generative AI, APIs, ML research teams, and data-intensive products
• B.Sc. in Computer Science, Engineering, or equivalent; OR significant hands-on software development experience
• Strong technical understanding of software development processes and product lifecycles.
• Proven ability to lead cross-functional teams and deliver complex products.
• Sharp communicator, analytical thinker, and someone who gets things done.