LI

Staff Product Manager, Conversion ML

Liftoff

Redwood City, USremote country$235k-$270k/yrPosted May 27, 2026
Posting intelligenceMay be filled, listed long ago

Skills

programmaticpythonml

About the role

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.

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.

As a Conversion ML PM at Liftoff, you will play a pivotal role in shaping our product strategy for our neural-net powered machine learning system, Cortex, which is built to predict users’ responses to ads across different verticals and campaign goals.

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

#LI-VM1

#LI-Remote

Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next.

Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.

Agency and Third Party Recruiter Notice:

Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Compensation

This Product Manager role pays $235k-$270k/yr. Within typical range for product manager roles in United States.

Questions about this role

Click "Apply with AI Applyd" above and you are done. Your resume is rewritten for this advert, the screening questions are answered, and it is submitted on Liftoff's own hiring system. No retyping your history, no fourteen tabs, no evening lost.

Compensation for Product Manager roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Product Manager hub for United States medians across recent openings.

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