Senior Product Manager, Search & ML Foundations

Role Description

• Build and drive the long term strategy and roadmap for Dropbox earch and Machine Learning platform, alongside engineering and platform leadership.
• Scale up the earch and machine learning capabilities of Dropbox to rapidly launch and iterate on new products cheaply.
• Improve the reliability, testability, and observability of our earch and ML systems, infrastructure, and engineering velocity.
• Determine the ROI of investments and build business cases for building vs buying platform and infrastructure components.
• Define platform success metrics for the teams and interface with internal customers (developers, data users, PMs, designers).
• Obsess over outcomes and know where best to invest the team’s valuable time. Share insights and results throughout the company to evangelize the high-impact foundational work of the area across Dropbox.
• Understand strengths of our search and ML platforms’ capabilities and identify / champion additional use cases for adoption within Dropbox.
• Partner with Dropbox Machine Learning Teams to document + understand requirements, ensuring solutions delivered align to technical roadmaps (and balancing short term requirements with the longer term ML platform vision)
• Facilitate collaboration and coordination across all platform teams (web, desktop, mobile) to improve tooling and infrastructure to better support product development.
• Work closely with internal stakeholders across Product, Design, Engineering, and Security to deeply understand and address platform needs.

• BS or MS in Computer cience, Electrical Engineering, Business, Applied Math or Statistics, or relevant experience. 
• 4+ years experience as a Product Manager, or similar role, ideally with search technology, defining vision and strategy for platform products, going through a full product lifecycle, integrating customer feedback into product requirements, and driving prioritization and pre/post-launch execution
• Impact driven and a consistent history of driving successful product outcomes from concept to completion.
• Knowledge of standard machine learning lifecycle and methodologies
• Experience building and supporting a platform for internal customers, including managing, and prioritizing security needs.
• Strong understanding of technical architecture and infrastructure principles
• Proven ability to lead engineering teams and work cross-functionally in a highly collaborative environment
• Strong technical, analytical, organizational, and problem-solving skills to enable platform and product innovation
• Magical capability to sell and influence without authority and gain senior leadership agreement
• Ability to communicate clearly and distill multiple stakeholder roadmaps into priorities for the team
• Comfort with business strategy, portfolio and investment prioritization, cost analysis, key performance tracking, and financial metrics
• Ability to zoom in and out to deeply understand industry trends, platform ecosystems, and competitive advantages
• Demonstrated empathy for developer pain points, and a track record of leadership in building products for engineers 
• Motivation and excitement about improving Search and Machine Learning infrastructure to create measurable business value