Technical Product Manager leading system integration, requirements gathering, and product delivery at a global fintech company. Collaborate with teams to translate business needs into technical specs and ensure system reliability.
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Hybrid Senior/Staff Technical Product Manager – Autonomy Performance, Data
Posted last month
About the role
- Technical Product Manager for Autonomy Performance & Data at Zoox, focusing on AI developer efficiency and data management. Unifying tools and improving performance in AI development.
Responsibilities
- Unify the Experimentation Ecosystem: Define and execute the strategy to consolidate disparate performance measurement and metrics tools into a single, authoritative platform for all Autonomy engineers.
- Scale the Data Flywheel: Own the roadmap for large scale data management and mining tools. Enable engineers to discover critical edge cases and curate the high impact datasets needed to train and measure Zoox’s state of the art models.
- Accelerate Developer Velocity: Build high fidelity A/B testing and comparative analysis tools that allow developers to validate branch level changes with high confidence before hitting a Pull Request.
- Drive AI Developer Efficiency: Act as the primary advocate for the AI engineering community. Identify workflow bottlenecks and deliver a roadmap that increases developer efficiency and ensures high quality code merges.
- Bridge Technical Domains: Partner deeply with Perception and Behavioral AI leads to translate complex algorithmic requirements into a scalable tool strategy that measures and elevates driving performance.
Requirements
- Technical Product Leadership: 5+ years of experience as a TPM or PM, specifically within internal tools, developer platforms, or AI/ML infrastructure.
- Domain Expertise: Deep familiarity with the ML development lifecycle, including data curation, model training, and performance evaluation (metrics/KPIs).
- Data Fluency: Comfortable engaging with engineers on data pipelines, large scale search (e.g., embeddings or metadata mining), and quantitative analysis.
- Strategic Execution: Proven track record of managing complex technical migrations and modernizing legacy toolsets without disrupting team velocity.
- User Centric Mindset: A passion for "Developer Experience" and a drive to build tools that make engineering teams more productive and satisfied.
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