Principal Product Manager
- $190,000 - $230,000
- Los Angeles, CA
- Remote
Foundational Product Manager Opportunity - Machine Learning
A bit about us:
Our client is transforming one of the largest and most outdated industries by building modern, AI-powered products that improve everyday workflows. Backed by world-class investors, this company is on a mission to modernize a $200B+ industry with cutting-edge technology, intuitive design, and operational excellence. Their products sit at the intersection of machine learning, platform scalability, and consumer-facing applications—driving impact for both professionals and end users.
Why join us?
Shape the foundational ML and product strategy at a hyper-growth company.
Build 0–1 products that directly impact consumers, not just back-end platforms.
Work closely with executives, engineering, and design on high-visibility initiatives.
Join a culture of curiosity, ownership, and execution where data-driven decisions and creativity intersect.
Competitive compensation, equity, and benefits with flexibility to support your growth and lifestyle.
Build 0–1 products that directly impact consumers, not just back-end platforms.
Work closely with executives, engineering, and design on high-visibility initiatives.
Join a culture of curiosity, ownership, and execution where data-driven decisions and creativity intersect.
Competitive compensation, equity, and benefits with flexibility to support your growth and lifestyle.
Job Details
5+ years of product management experience with consumer-facing product development (not just internal tools or consulting).
Demonstrated experience taking ML-powered products from concept through launch.
Strong ability to translate machine learning capabilities into real-world, customer-facing features.
Proven record of driving alignment across engineering, data science, design, and operations.
Track record of building 0–1 products, not just iterations on existing platforms.
Technical fluency to engage in discussions on APIs, data pipelines, and ML model performance.
Exceptional communication skills and ability to influence at all levels.
Experience in high-growth, fast-paced environments.
Demonstrated experience taking ML-powered products from concept through launch.
Strong ability to translate machine learning capabilities into real-world, customer-facing features.
Proven record of driving alignment across engineering, data science, design, and operations.
Track record of building 0–1 products, not just iterations on existing platforms.
Technical fluency to engage in discussions on APIs, data pipelines, and ML model performance.
Exceptional communication skills and ability to influence at all levels.
Experience in high-growth, fast-paced environments.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy