Staff Product Manager (AI)

TL;DR

Staff Product Manager (AI): Leading ads ranking to improve relevance for users, performance for advertisers, and revenue for Snap by building cutting-edge ads recommendation ML models and commercializing them as products. Focus on translating business needs into ML requirements, defining eval metrics, and driving solutions for complex, high-impact challenges aligned with company objectives.

Location: This is a hybrid role requiring attendance in a US office 4+ days per week, specifically in Bellevue, Palo Alto, San Francisco, Santa Monica, or Seattle.

Compensation: $195,000–$343,000 annually (base salary range across US pay zones, plus equity in the form of RSUs).

Company

hirify.global is a technology company focused on improving communication through camera-based products like hirify.global, Lens Studio, and Spectacles, driving innovation in advertising platform performance.

What you will do

• Lead ads ranking by building and commercializing cutting-edge ML models.
• Translate advertiser and business needs into ML requirements for Machine Learning Engineers.
• Collaborate with Engineering and Data Science to define evaluation metrics for ads ranking systems.
• Develop and communicate a comprehensive vision, strategy, and roadmap for your product area.
• Build trust and influence across senior leadership and cross-functional teams.
• Mentor less experienced PMs and contribute to recruiting efforts.

Requirements

• BS/BA degree or equivalent, with 8+ years of experience building and shipping products at a technology company (or Masters and 7+ years of experience).
• Strong understanding of ML fundamentals.
• Prior ads experience is a must.
• Extremely analytical, excellent with numbers, and skilled at turning ambiguous business problems into concrete hypotheses.
• Strong customer empathy and business acumen, translating business needs into ML model behaviors.
• Ability to communicate deeply technical topics succinctly and engagingly to senior leadership and cross-functional partners.

Nice to have

• Experience shipping internet-scale ML recommender products through the end-to-end product lifecycle with materialized impact.
• Prior ads ranking experience.

Culture & Benefits

• "Default Together" policy: Expectation to work in an office 4+ days per week.
• Comprehensive medical coverage, paid parental leave, and emotional/mental health support programs.
• Compensation packages that let you share in Snap’s long-term success through equity (RSUs).
• Commitment to diversity, inclusion, and equal opportunity as an Equal Opportunity Employer.
• Work in a collaborative, adaptable, and resilient environment.