Job Title: Technical Product Manager
Role OverviewTroveo is building the data platform that powers a fast-growing content licensing business, supplying large-scale data to the companies training frontier AI models. We are looking for a Technical Product Manager to own products and outcomes end to end across this platform, from strategy through delivery and continuous improvement. You will sit at the intersection of product, data engineering, and business operations: setting the strategy for how licensors deliver massive volumes of content to Troveo, designing the pipelines that process it, and ensuring the systems scale alongside a rapidly growing library. This is a deeply technical role for someone who is equally comfortable shaping the roadmap and digging into a data pipeline with engineers.
Key ResponsibilitiesProduct Strategy & Ownership- 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.
Data Platform & Pipeline- 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.
Job Requirements- 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.
Preferred / Nice-to-Have- 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.
Compensation- Base Salary: $140,000 - $180,000 (depending on experience and location)
- Equity: Competitive equity package in a well-funded AI startup with significant upside
Compensation is location-adjusted for cost of living. We are open to candidates in California, New York, and select other states.
What We Offer- 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
We believe great work happens when people are supported, challenged, and given ownership.
