Staff Product Manager - Conversion ML

📌 Core Information 🔹 Job Title: Staff Product Manager - Conversion ML 🔹 Company: Liftoff 🔹 Location: Redwood City, California, United States 🔹 Job Type: Full-Time 🔹 Category: Product Management 🔹 Date Posted: June 10, 2025 🚀 Job Overview Key aspects of this role include: - Developing new ideas to improve the machine learning platform and models - Collaborating with a world-class team of engineers to create experimentation plans - Working on one of the most rigorous problems in the machine learning space - Rapid experimentation and data collection to evaluate new product ideas quickly - Shaping the product strategy for the neural-net powered machine learning system, Cortex ASSUMPTION: This role requires a strong background in machine learning and software engineering, as well as excellent communication skills to work effectively with cross-functional teams. 📋 Key Responsibilities - Develop new ideas to improve the 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 ASSUMPTION: The role requires a strong analytical mindset and the ability to make data-driven decisions to optimize the product roadmap. 🎯 Required Qualifications Education: - Bachelor’s degree in a relevant field (e.g., Computer Science, Mathematics, Statistics, or a related discipline) Experience: - 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's degree, or 3 years with a PhD Required Skills: - Strong mathematics, computer science, and/or machine learning background - Solid analytical reasoning and cost-benefit analysis - Strong data analysis and visualization skills - Proficiency in SQL and a scripting language (e.g., Python, R) - Excellent written and verbal communication skills Preferred Skills: - Experience in analytics, mobile advertising, or machine learning at scale - Loads of passion for building great products and growing a great company! ASSUMPTION: Candidates with a strong background in machine learning and software engineering, as well as excellent communication skills, will be most successful in this role. 💰 Compensation & Benefits Salary Range: - SF Bay Area, Los Angeles/Orange County: $200,000 - $250,000 - San Diego, Santa Barbara: $185,000 - $230,000 - All other cities and towns in approved states: $175,000 - $215,000 Benefits: - Equity - Health, vision, and dental benefits associated with your country of residence Working Hours: - Full-time (40 hours per week) ASSUMPTION: The salary range is competitive and based on location and experience level. Benefits are comprehensive and include health, vision, and dental coverage. 📌 Applicant Insights 🔍 Company Context Industry: Advertising Services Company Size: 501-1,000 employees Founded: 2012 Company Description: Liftoff helps mobile businesses maximize their revenue by providing machine learning-powered marketing, monetization, and creative solutions that create better ad experiences and connect people with the products they love. Company Specialties: Mobile advertising, App advertising, Mobile marketing, App marketing, Mobile User Acquisition, App user acquisition, Mobile CPA Marketing, and Mobile retargeting Company Website: http://www.liftoff.io ASSUMPTION: Liftoff is a well-established company in the mobile advertising industry, with a strong focus on machine learning and data-driven decision making. 📊 Role Analysis Career Level: Mid-Senior level, with the opportunity to grow and make a significant impact on the product roadmap Reporting Structure: This role reports directly to the Head of Product Work Arrangement: Full-time, with the option for remote work in California or near one of the US hubs in Redwood City or Los Angeles Growth Opportunities: - Rapid experimentation and data collection to evaluate new product ideas quickly - Collaborating with a world-class team of engineers to create experimentation plans - Working on one of the most rigorous problems in the machine learning space ASSUMPTION: This role offers excellent growth opportunities for candidates looking to advance their careers in product management, with a focus on machine learning and data-driven decision making. 🌍 Location & Work Environment Office Type: Hybrid (remote work available) Office Location(s): Redwood City, CA (headquarters); Los Angeles, CA; and other approved locations in the United States Geographic Context: - Redwood City, CA: Located in the San Francisco Bay Area, with easy access to Silicon Valley and San Francisco - Los Angeles, CA: Situated in the heart of the entertainment industry, with a thriving tech scene Work Schedule: Full-time (40 hours per week), with flexible hours and the option to work remotely ASSUMPTION: The hybrid work environment offers the best of both worlds, with the opportunity to work from home or in the office, depending on individual preferences and the needs of the role. 💼 Interview & Application Insights Typical Process: 1. Online application submission 2. Phone or video screen with the Recruiting Team 3. Technical assessment or case study 4. On-site or virtual interview with the hiring manager and team members 5. Final round with senior leadership Key Assessment Areas: - Technical skills and problem-solving abilities - Product management experience and strategic thinking - Communication and collaboration skills - Cultural fit and alignment with Liftoff's values Application Tips: - Tailor your resume and cover letter to highlight relevant skills and experiences for this role - Prepare for technical assessments or case studies by brushing up on your machine learning and data analysis skills - Research Liftoff's products and company culture to demonstrate your enthusiasm and understanding of the role ATS Keywords: Machine Learning, Product Management, Data Analysis, SQL, Python, R, Experimentation, Mobile Advertising, Growth Acceleration ASSUMPTION: The interview process is designed to assess both technical skills and cultural fit, with a strong emphasis on problem-solving abilities and strategic thinking. 🛠️ Tools & Technologies - Machine learning platforms (e.g., TensorFlow, PyTorch) - Data analysis tools (e.g., Pandas, Jupyter Notebooks) - SQL databases and query tools (e.g., PostgreSQL, MySQL) - Scripting languages (e.g., Python, R) - Product management tools (e.g., Asana, Jira, Trello) - Collaboration tools (e.g., Slack, Microsoft Teams) ASSUMPTION: Proficiency in these tools and technologies is essential for success in this role, as they are used daily to manage projects, analyze data, and collaborate with team members. 👔 Cultural Fit Considerations Company Values: - Innovation: Liftoff thrives on innovation and encourages employees to think outside the box and challenge the status quo - Collaboration: Liftoff values collaboration and teamwork, with a strong emphasis on cross-functional collaboration and knowledge sharing - Customer-centric: Liftoff is committed to providing the best possible experience for both advertisers and users, with a focus on creating meaningful connections Work Style: - Fast-paced: Liftoff operates at a fast pace, with a focus on rapid experimentation and data-driven decision making - Data-driven: Liftoff is a data-driven company, with a strong emphasis on using data to inform product decisions and optimize performance - Results-oriented: Liftoff is focused on achieving results and delivering value to customers, with a strong emphasis on metrics and KPIs Self-Assessment Questions: - How do you approach innovation and thinking outside the box in your work? - How do you collaborate effectively with cross-functional teams, and how do you ensure that everyone's voices are heard? - How do you prioritize and make data-driven decisions, and how do you ensure that you are using data to inform your product decisions? ASSUMPTION: Candidates who are strong innovators, effective collaborators, and data-driven decision makers will be most successful in this role. ⚠️ Potential Challenges - Working with large, complex datasets and machine learning models can be challenging and time-consuming - Balancing rapid experimentation and data collection with rigorous evaluation of new product ideas can be difficult - Collaborating effectively with a world-class team of engineers may require strong communication and project management skills ASSUMPTION: These challenges can be overcome with a strong analytical mindset, excellent communication skills, and a commitment to continuous learning and improvement. 📈 Similar Roles Comparison - This role is similar to a Senior Product Manager - Machine Learning at a large tech company, with a focus on developing and optimizing machine learning models for advertising and marketing purposes - Unlike other roles in the industry, this role requires a strong background in both machine learning and software engineering, as well as excellent communication and collaboration skills - This role offers excellent growth opportunities for candidates looking to advance their careers in product management, with a focus on machine learning and data-driven decision making ASSUMPTION: This role is unique in its requirement for a strong background in both machine learning and software engineering, as well as excellent communication and collaboration skills. 📝 Sample Projects - Developing a new machine learning model to predict user engagement with ads across different verticals and campaign goals - Optimizing an existing machine learning model to improve click-through rates and conversion rates for mobile app advertisements - Collaborating with a team of engineers to create an experimentation plan to test a new product idea and evaluate its performance using A/B testing ASSUMPTION: These sample projects demonstrate the range of responsibilities and the level of technical expertise required for success in this role. ❓ Key Questions to Ask During Interview - Can you describe the team structure and how this role fits into the organization? - How does the company support the growth and development of its product managers? - What are the most challenging aspects of working on a complex machine learning driven system, and how does the company address these challenges? - How does the company approach experimentation and data collection, and how do you ensure that new product ideas are evaluated rigorously? - What are the key performance indicators (KPIs) for this role, and how are they tracked and measured? ASSUMPTION: These questions are designed to help candidates better understand the role, the team, and the company culture, as well as to assess the fit between the candidate's skills and experiences and the requirements of the role. 📌 Next Steps for Applicants To apply for this position: - Submit your application through this link - Tailor your resume and cover letter to highlight relevant skills and experiences for this role - Prepare for technical assessments or case studies by brushing up on your machine learning and data analysis skills - Research Liftoff's products and company culture to demonstrate your enthusiasm and understanding of the role - Follow up with the Recruiting Team one week after submitting your application to inquire about the status of your application ⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.