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: July 2, 2025 🔹 Experience Level: 5-10 years 🚀 Job Overview Key aspects of this role include: - Developing new ideas to improve the machine learning platform and models - Collaborating with a world-class engineering team to create experimentation plans and evaluate product ideas - Working on one of the most rigorous problems in the machine learning space - Rapid experimentation and data collection to try out new product ideas quickly and evaluate them rigorously ASSUMPTION: This role requires a strong background in mathematics, computer science, or machine learning, as well as solid analytical reasoning and data analysis skills. The ability to work effectively with engineers and adapt to new data frequently is crucial. 📋 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 responsibilities require a strong understanding of machine learning and software engineering, as well as excellent communication and analytical skills. The ability to work collaboratively and adapt to new data is essential. 🎯 Required Qualifications Education: - Bachelor’s degree or higher in a relevant field (e.g., Mathematics, Computer Science, Machine Learning, 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, 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 - 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 (a plus) Preferred Skills: - Experience in product management or a related field - Familiarity with the mobile advertising industry ASSUMPTION: The required qualifications indicate a need for a strong background in mathematics, computer science, or machine learning, as well as solid analytical reasoning and communication skills. Experience in product management or a related field is preferred but not required. 💰 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 for the role and location, with benefits and perks that include equity and health/vision/dental benefits. The working hours are typical for a full-time position. 📌 Applicant Insights 🔍 Company Context Industry: Advertising Services Company Size: Medium (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 solutions. Its size and specialties make it an attractive option for candidates interested in growth and innovation. 📊 Role Analysis Career Level: Mid-level to senior Reporting Structure: This role reports directly to the VP of Product or a similar senior-level position. 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: - Potential to move into a senior product management role or take on more responsibilities within the product team - Opportunities to work on high-impact projects and gain experience in a fast-paced, innovative environment ASSUMPTION: This role offers strong growth potential for candidates looking to advance their careers in product management or a related field. The fast-paced, innovative environment provides ample opportunities to learn and grow. 🌍 Location & Work Environment Office Type: Hybrid (remote and on-site work) Office Location(s): Redwood City, California, United States Geographic Context: - Redwood City is located in the San Francisco Bay Area, with a mild Mediterranean climate and a cost of living that is higher than the national average. - The area is known for its tech industry, with many companies headquartered in the region. Work Schedule: - The work schedule is flexible, with a focus on results and productivity rather than strict hours. ASSUMPTION: The hybrid work environment offers the best of both remote and on-site work, allowing for flexibility and a better work-life balance. The geographic context and work schedule cater to a diverse range of candidate preferences. 💼 Interview & Application Insights Typical Process: 1. Phone or video screening with the HR team 2. Technical assessment or case study 3. On-site or virtual interview with the hiring manager and team members 4. Final round with senior leadership Key Assessment Areas: - Technical skills and knowledge of machine learning and software engineering - Problem-solving and analytical skills - 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 behavioral and situational interview questions that focus on your problem-solving skills and ability to work collaboratively - Research Liftoff's products, services, and company culture to demonstrate your interest and understanding ATS Keywords: Machine Learning, Product Management, Data Analysis, Software Engineering, Mobile Advertising, Growth Strategy, Experimentation, Collaboration, Innovation ASSUMPTION: The interview process focuses on assessing technical skills, problem-solving abilities, and cultural fit. Candidates should prepare thoroughly and tailor their applications to demonstrate their qualifications and enthusiasm for the role. 🛠️ Tools & Technologies - Python, R - SQL - Machine learning libraries (e.g., TensorFlow, PyTorch) - Product management tools (e.g., Asana, Jira) - Collaboration tools (e.g., Slack, Microsoft Teams) ASSUMPTION: The required tools and technologies are industry-standard and widely used in the product management and machine learning fields. Familiarity with these tools is essential for success in this role. 👔 Cultural Fit Considerations Company Values: - Innovation - Collaboration - Customer focus - Integrity - Accountability Work Style: - Fast-paced and dynamic - Data-driven and analytical - Collaborative and team-oriented - Results-focused and goal-oriented Self-Assessment Questions: - How do you approach brainstorming new ideas to improve a machine learning platform? - Can you describe a time when you had to adapt a product roadmap based on new data or findings? - How do you work effectively with engineers to create experimentation plans and evaluate product ideas? ASSUMPTION: Liftoff values a fast-paced, data-driven, and collaborative work environment. Candidates should assess their fit with these values and work style preferences before applying. ⚠️ Potential Challenges - Working with large, complex datasets and ensuring data quality - Balancing short-term experimentation with long-term product strategy - Managing stakeholder expectations and priorities - Keeping up with the latest developments in machine learning and the mobile advertising industry ASSUMPTION: These challenges require strong analytical, communication, and project management skills. Candidates should be prepared to tackle these challenges and contribute to Liftoff's continued success. 📈 Similar Roles Comparison - Product Manager, Machine Learning (similar role at another company) - Focuses on improving machine learning models and algorithms - Requires a strong background in machine learning and software engineering - May have less emphasis on experimentation and product strategy - Senior Product Manager, Mobile Advertising (related role at Liftoff) - Oversees the entire product portfolio for mobile advertising - Requires a broader understanding of the mobile advertising industry and market trends - May have less focus on machine learning and experimentation ASSUMPTION: This role offers a unique blend of machine learning, product management, and experimentation. Candidates should consider their preferences and career goals when comparing this role to similar or related positions. 📝 Sample Projects - Developing a new machine learning model to predict user engagement with ads - Creating an experimentation plan to test the effectiveness of different ad formats and placements - Collaborating with engineers to optimize the machine learning platform's performance and scalability ASSUMPTION: These sample projects demonstrate the range of responsibilities and the importance of collaboration and experimentation in this role. ❓ Key Questions to Ask During Interview - What are the most pressing challenges facing the machine learning platform, and how can this role address them? - How does the company support the professional development of its product managers? - What is the team's approach to experimentation and data-driven decision-making? - How does the company measure the success of its machine learning models and product strategies? - What opportunities are there for growth and advancement within the product management team? ASSUMPTION: These questions help candidates better understand the role, the team, and the company's approach to product management and machine learning. Asking thoughtful questions demonstrates your interest and engagement with the role. 📌 Next Steps for Applicants To apply for this position: 1. Submit your application through this link: [Application URL] 2. Tailor your resume and cover letter to highlight your relevant skills and experiences for this role 3. Prepare for behavioral and situational interview questions that focus on your problem-solving skills and ability to work collaboratively 4. Research Liftoff's products, services, and company culture to demonstrate your interest and understanding 5. Follow up with the hiring manager or HR team one week after submitting your application, expressing your enthusiasm for the role and asking about next steps in the process ⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.