Staff Product Manager, Conversion ML
🏢 Liftoff · all Liftoff jobs
📍 Remote · North America
💰 $202,000 - $270,000 / year
📅 Posted 2026-07-28 · via RemoteIO
🏷 Product Management,Machine Learning,Data Analysis,Software Engineering,SQL
Apply on original site ↗About Liftoff
Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand.
Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.
About the Role
At Liftoff, we’re solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the largest Internet companies -- processing over five million requests per second and interacting with over a billion users per day. Our technology is innovative and we have solid product-market fit; as a result, we've already reached profitability and are seeing tremendous growth.
Why this will be awesome
- You'll be working with a world class engineering team who gets things done
- You’ll be working on solving one of the most rigorous problems in the machine learning space
- We heavily prioritize rapid experimentation and data collection so that we can try out new product ideas quickly and evaluate them rigorously
Responsibilities
- Develop new ideas to improve our machine learning platform and models
- Develop experimentation plans via brainstorming, market research, and deep analysis
- Work with a world class team of engineers who are strong in both machine learning and software engineering
- Continuously adapt the product roadmap to new data and findings that arise frequently when working with a complex machine learning driven system
Requirements
- 3+ years of experience working closely with software and machine learning engineers and shipping technical data driven products
- 8+ years of related experience with a Bachelor’s degree, 6 years with a Master or 3 years with a PhD.
- A strong mathematics, computer science, and/or machine learning background
- Solid analytical reasoning and cost-benefit analysis
- Strong data analysis and visualization skills
- SQL and basic proficiency with a scripting language (e.g. Python, R)
- Excellent written and verbal communication
- Experience in analytics, mobile advertising, or machine learning at scale is a plus.
- Loads of passion for building great products and growing a great company!
Location
Liftoff follows a philosophy of "remote first, come together meaningfully" and allows employees to be based from a number of different states where we have entities in the United States (CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA.)
Travel Expectations
We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.
Compensation
Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience.
The following are our salary ranges for this role:
- SF Bay Area, NYC, Los Angeles/Orange County, Seattle: $235,000 - $270,000
- All other CA cities, Portland, All other WA cities, Denver, Austin, Boston: $216,000 - $248,000
- All other cities and towns in our approved states: $202,000 - $232,000
Conclusion
Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re s