Senior Product Manager
Listed on 2026-01-29
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IT/Tech
Product Designer, AI Engineer, Data Analyst, Product Engineer
Location:
Los Angeles, CA – structured hybrid (in-office component required)
Compensation: $150,000 - $175,000 base + equity/benefits (DOE)
*** NO C2C OR VISA CANDIDATES CAN BE ACCCEPTED***
Our client is building the next generation of AI-powered analytics so brands can finally see, in real time, which advertising actually works and why. This Senior Product Manager role sits directly with the CTO on a highly visible initiative to shape and scale their experience platform - a SaaS solution that leverages data and AI to deliver actionable insights for enterprise customers.
If you like owning hard performance problems, working closely with engineering, design, and data teams to build and launceh features that drive customer impact that powers decisions for the world’s biggest brands, this is a true impact seat, not a maintenance job.
Why this role
- Report directly to Co-Founder & CTO and a small, senior team driving our core AI product strategy, not a side project.
- Shape a core product that influences how leading brands understand and engage with consumers.
- Work on cutting-edge AI/ML applications at scale.
- Be part of a culture that values innovation, curiosity, and impact.
- 6+ years of product management experience, with 3+ years building SaaS products in analytics, AI/ML, or related industries.
- Directly responsible / owned a customer facing B2B SaaS product with 10,000+ users.
- Strong technical acumen and familiarity with data workflows, analytics tools, and SaaS architectures. Ideally having professional experience as an engineer or a data scientist.
- Basic understanding of statistics and methodologies as it relates to advertising measurement or market research is a big plus.
- Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or related field.
What you will do:
- Contribute to product vision and roadmap development in alignment with company goals
Translate customer feedback and market trends into actionable requirements. - Prioritize features and define success metrics that ensure business and customer impact
- Product Development:
- Partner with engineering, design, and data teams to deliver scalable, AI-enabled features.
- Write clear product requirements and user stories, ensuring timely and high-quality delivery.
- Support the full product lifecycle—from ideation through launch and iteration.
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