Staff Product Manager, Data Engineering at Liftoff

Redwood City, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

235000.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Product Management, Technical Documentation, SQL, Python, Data Quality, Machine Learning, Data Science, APIs, Cloud Data Platforms, ETL Frameworks, Distributed Processing, Streaming Systems, Data Governance, Collaboration, Communication

Industry

Advertising Services

Description

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. Liftoff is seeking a Senior Product Manager, Data Engineering to lead the roadmap for our data infrastructure and engineering systems that power machine learning and analytics across the organization. This is a highly technical product role requiring a background as a Data Engineer and a strong ability to communicate across both technical and business teams. The ideal candidate is proactive, technically fluent, and an excellent communicator who can translate complex requirements from analysts and ML engineers into structured, actionable engineering specifications. This position partners closely with Data Engineering, Machine Learning, Data Science, and Analytics teams across both U.S. and Beijing time zones, requiring strong coordination, documentation, and clarity in asynchronous communication. Key Responsibilities: Define and execute the product vision and roadmap for Liftoff’s data infrastructure, ensuring scalability, reliability, and performance. Translate complex machine learning and analytics requirements into detailed technical documentation and product specifications for engineering teams. Partner with cross-functional teams across the U.S. and Beijing to design, prioritize, and deliver high-impact data pipelines, APIs, and storage architectures. Establish and monitor data quality, latency, and reliability KPIs, driving continuous improvement and standardization. Collaborate with ML and analytics stakeholders to ensure the data platform enables rapid experimentation and model development. Anticipate data and infrastructure needs, proactively shaping architecture and tooling strategy. Advocate for data best practices, including governance, lineage, and documentation across global teams. Requirements 5–8 years of total experience in data-intensive environments, including: Minimum 2 years as a Data Engineer, building or maintaining large-scale pipelines and distributed data systems. Minimum 3 years in Product Management or Technical Program Management, owning data or infrastructure products. Deep understanding of data engineering concepts: ETL frameworks, data modeling, distributed processing, and streaming systems (e.g., Spark, Airflow, Kafka, Flink). Strong familiarity with cloud data platforms (Snowflake, BigQuery, Redshift) and data lake architectures. Proficient in SQL; comfortable understanding Python or similar scripting languages for technical discussions. Demonstrated ability to write clear technical documentation and product specifications. Excellent verbal and written communication, capable of bridging technical and non-technical stakeholders across global teams. Highly proactive and self-directed, able to manage complex cross-time-zone projects with minimal supervision. Preferred Experience: Background in ad tech, mobile marketing, or large-scale programmatic data systems. Experience with model training pipelines, feature stores, or data observability tooling. Knowledge of data governance, schema evolution, and metadata management practices. Experience collaborating with distributed teams across U.S. and Asia time zones. Why Join Liftoff? Innovative Environment: Be part of a company at the forefront of mobile app marketing, utilizing cutting-edge technologies to drive results. Professional Growth: Opportunities for continuous learning and career advancement in a dynamic industry. Collaborative Culture: Work with a diverse team of talented professionals who are passionate about delivering excellence. Comprehensive Benefits: Competitive salary, health benefits, and other perks to support your well-being. Working at Liftoff is fast-paced, fun, and challenging, and we thrive on innovation. Come join the rocket ship and help shape the future of the mobile app ecosystem with us! Location: This role is eligible for full-time remote work in California or near one of our US hubs in Redwood City or Los Angeles. This position is located in the Pacific Time Zone. 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. This position will require travel at least once per quarter to work with the Beijing team. 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 candidate's location and experience. The following are our base salary ranges for this role: SF Bay Area/Los Angeles/Orange County/Seattle: $210,000 to $235,000 All other California and Washington state locations: $193,200 to $216,200 All other locations in our approved states: $180,600 to $202,100 #LI-VM1 #LI-Remote We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here. 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. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. 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.

Responsibilities

Define and execute the product vision and roadmap for Liftoff’s data infrastructure. Collaborate with cross-functional teams to design, prioritize, and deliver high-impact data solutions.