Note: The job is a remote job and is open to candidates in USA. Troveo AI builds a data platform critical for AI labs and model builders, focusing on the delivery of high-quality data for training AI models. The Technical Product Manager will oversee product strategy and execution, collaborating with engineering and operations to enhance data ingestion and processing pipelines.

Responsibilities

• Develop and clearly articulate the product strategy, aligning with company objectives and the evolving market landscape
• Own products and outcomes end to end, from initial concept through deployment and continuous enhancement, ensuring delivery on time, within scope, and beyond expectations
• Bridge complex technical solutions and tangible business value, making informed prioritization decisions and smart trade-offs
• Design and continuously optimize the platforms through which licensors provide and transfer large-scale data to Troveo, from multimodal content to enterprise workflow data
• Own the end-to-end ingestion experience, from onboarding workflows to file-transfer reliability, making it seamless for partners of all technical sophistication levels
• Partner closely with engineers to build and refine a cost-effective, high-throughput data pipeline covering profiling, deduplication, transcoding, annotation, and downstream delivery
• Help design processing pipelines and logic tailored to diverse data types, including video files, structured metadata, and other custom formats submitted by licensors
• Identify bottlenecks, propose improvements, and drive execution across pipeline stages
• Own analytics and data-driven feature improvement, using metrics to identify opportunities, prioritize work, and measure impact
• Dive deep into the data to address operational data issues, maintaining data quality and consistency across the pipeline
• Partner across teams to meet client delivery needs, including data reconciliation across systems

Skills

• 5+ years of product management or a similar role in a technically demanding field
• Maturity and strong judgment across both business and technology, with a demonstrated ability to influence and lead
• Comfortable in having conversations with technical stakeholders, with the ability to translate complex concepts for any audience
• Strong command of SQL and data analytics, with the ability to dive into the data to answer your own questions and validate hypotheses
• Strong analytical thinking, structured problem-solving, and data-driven decision-making
• Ability to go from problem to spec to shipped feature, working efficiently with engineers
• A hands-on, experimental approach to AI, continually testing and adopting new capabilities as they emerge
• Familiarity with video processing workflows (e.g. transcoding, format standards, metadata handling)
• Experience in content licensing, media tech, or AI training data environments
• Experience working with tools in the AWS ecosystem (e.g. S3, ECS, Lambda, Glacier, etc.)
• Comfortable reading or writing Python and other programming languages
• Ability to build lightweight internal tools and proofs-of-concept using the latest AI tools and technologies

Benefits

• Comprehensive Health Benefits: Medical, dental, and vision coverage (100% employer-paid for employees)
• Flexible PTO & Paid Holidays: Unlimited PTO with encouragement to actually use it
• Remote First Policy: Work from anywhere in the US (with occasional team offsites)
• Learning & Growth: Annual learning stipend, access to top conferences, and direct mentorship from experienced founders
• Equity Ownership: Competitive equity package with clear growth potential as we scale
• Modern Tech Stack & Tools: Budget for the best equipment and software
• Strong Culture: High-trust, low-ego environment focused on impact, transparency, and work-life balance

Company Overview