Sr. Product Manager, DSP Accountability - Safety Signals

Sr. Product Manager, DSP Accountability - Safety Signals

Job  |  Services LLC

Safety is Amazon's most important last mile priority, and the signals that detect risk, measure driver behavior, and protect hundreds of thousands of delivery drivers worldwide are only as good as the systems behind them. As Senior Product Manager, Signal Quality and Impact, you will own the strategy and execution for the quality and usage of signals across Amazon's last mile safety ecosystem, spanning Rivian electric delivery vans, ML‑driven detection systems, and computer vision at scale, working to maximize their impact on safety outcomes and driver experience.

This is a high‑impact, cross‑cutting role where your work will directly influence how signals are built, measured, and improved across dozens of safety mechanisms and millions of delivery events every day. Our team moves fast, and as we expand our use of AI across the signal lifecycle, this role will play a key part in shaping and driving that approach in alignment with our broader organization.

Someone successful in this role will likely excel at:

• Product thinking: solving ambiguous problems with clear, structured strategies
• Stakeholder management and written influence: aligning cross‑functional teams across tech, operations, and business leaders, even when priorities diverge
• Technical depth: strong passion for technology, especially vehicle systems, advanced sensors, and driver behavior, with the ability to translate complex tech into strategic opportunities
• Analytical rigor: highly data‑driven, comfortable working with large datasets, writing queries, and using data to guide decisions
• Customer obsession and impact focus: prioritizing the highest‑value opportunities that deliver measurable safety and performance improvements

• Own the multi‑year vision, strategy, and roadmap for safety signal quality and effectiveness across North America and Worldwide
• Work backwards from ambiguous safety challenges to define clear product requirements, success metrics, and execution plans, launching new signals and signal features end‑to‑end from problem definition through deployment and post‑launch monitoring
• Set signal quality standards (precision, recall, SLAs), define and own the signal evaluation framework (precision monitoring, confidence scoring, true/false positive determination), and hold partner teams accountable to them
• Drive cross‑functional alignment across tech, operations, data science, and business leaders; make and influence build vs. partner decisions with external technology providers to drive signal quality improvements at pace
• Partner closely with applied scientists and ML engineers to shape model requirements, evaluate outputs, and drive ML and AI‑based approaches to signal enhancement and new signal development
• Define and own the metrics framework for signal quality, signal effectiveness, and downstream safety outcomes; use data to proactively identify signal quality issues and prioritize the highest‑impact improvements
• Translate complex signal and ML concepts into clear narratives for senior and executive audiences to drive alignment and investment decisions

You start your day deep in a working session with your applied science partner, pressure‑testing a new ML‑based confidence scoring approach and digging into model behavior and edge cases. From there, you're sitting with a safety domain expert, understanding driver behaviors behind incidents we need to detect and translating that expertise into a clear signal opportunity. In the afternoon you're presenting to senior leadership, making the case for the next wave of signal investments.

You close the day triaging automated signal quality alarms, routing anomalies before they impact downstream safety mechanisms.

We are part of the Worldwide Delivery Service Partner org, supporting over a dozen regions, thousands of DSPs, and hundreds of thousands of drivers. Our team sits at the intersection of safety and technology, partnering closely with last mile tech, data science, and safety organizations to protect drivers every day. We are…