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Staff Product Manager, Conversion ML

External
liftoff logoLiftoff · (remote)
$235K–$270K/yrFull-timeRemote3w ago
Data AnalysisMachine LearningPythonSQL
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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.)

Benefits

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 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 - $270,000All other CA cities, Portland, All other WA cities, Denver, Austin, Boston: $216,000 - $248,000All other cities and towns in our approved states: $202,000 - $232,000#LI- VM1#LI-RemoteLiftoff 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.Agency and ThirdHealth insuranceDental insuranceVision insuranceRemote work optionsEquity / stock options

Additional Information

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


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