π Core Information
πΉ Job Title: Senior Product Manager (Revenue Growth and Machine Learning)
πΉ Company: Tinder LLC (Match Group)
πΉ Location: Dallas, Texas
πΉ Job Type: Full-time
πΉ Category: Software Development
πΉ Date Posted: July 15, 2025
πΉ Experience Level: 5-10 years
πΉ Remote Status: Remote OK (United States)
π Job Overview
Key aspects of this role include:
- Developing overall product strategy for revenue growth through recommendation offers and machine learning products
- Monitoring product KPIs and collaborating with data scientists to identify revenue opportunities
- Conceptualizing and product managing direct consumer-facing features built on iOS and Android
- Building and implementing A/B tests on large scale consumer-facing products
- Working with machine learning models and navigating data systems
ASSUMPTION: This role requires a strong background in product management, data analysis, and machine learning to drive revenue growth and user engagement.
π Key Responsibilities
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Develop and implement product strategy and plan for revenue growth through recommendation offers and machine learning products
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Monitor product KPIs and collaborate with data scientists to analyze key business metrics and identify opportunities for revenue and ecosystem impact
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Develop strategic hypothesis, prioritize features, and A/B test features to evaluate hypotheses
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Build product offerings by partnering with legal, engineering, marketing, and technology teams
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Navigate data systems and machine learning pipelines, and work with technology teams to integrate and tailor existing machine learning models and create new ones
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Ideate and develop zero to one consumer-facing features by partnering with designers
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Develop new features for native applications designed to scale for millions of users
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Monitor the end-to-end product lifecycle of products, initiatives, and technologies
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Use strong communication skills (written and verbal) to partner with engineering teams to ensure product development is on track
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Participate in architectural and design sessions, business process, and operational discussions to create world-class technology products
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Understand technical trade-offs as well as business KPI trade-offs for balancing revenue and user engagement and retention
ASSUMPTION: This role requires a high level of autonomy and the ability to work cross-functionally with various teams to drive product success.
π― Required Qualifications
Education: Bachelorβs degree or U.S. equivalent in Operations Research, Computer Science, Information Systems, or a related field
Experience: 5 years of professional experience as Product Manager, Business Analyst, or any occupation/position/job title involving developing and implementing product strategy and planning
Required Skills:
- 4 years of experience handling large volumes (50M+ MAU) of data and performing data queries using querying languages (including SQL)
- 3 years of experience conceptualizing and product managing direct consumer-facing features (B2C) built on iOS and Android for a global tech company
- 3 years of experience creating and implementing A/B tests on large scale (50M+ MAU) consumer-facing iOS and Android products using a hypothesis-driven approach
- 3 years of experience building zero-to-one consumer-facing core products that deal with marketplace dynamics and network effects
- 3 years of experience using product management and analyzing data to drive decisions and proficiency using tools and systems to find necessary data (including Excel, Tableau, Advanced Analytical SQL, and A/B testing) and design and ideation tools (including Figma, Sketch, Figjam, or Miro)
- 3 years of experience performing software engineering practices and employing best practices for the full software development life cycle (including coding standards, code reviews, source control management, build processes, testing, and operations)
- 3 years of experience working on revenue and growth products with experience in balancing the needs of the business and the users on a mobile-first B2C business with 50M+ MAU
- 2 years of experience product managing and innovating on in-house built machine learning models on a large scale (50M+ MAU) consumer-facing product (B2C)
Preferred Skills:
- Experience with Python, R, or other data analysis languages
- Experience with Agile methodologies
- Experience with product roadmap development
ASSUMPTION: This role requires a strong technical background with a focus on data analysis, machine learning, and product management.
π° Compensation & Benefits
Salary Range: $187,000 - $223,000 per year
Benefits:
- Health, dental, and vision insurance
- 401(k) matching
- Paid time off (vacation, sick, and holidays)
- Employee stock purchase plan
- Tuition reimbursement
Working Hours: Full-time (40 hours per week)
ASSUMPTION: The salary range provided is based on market research and internal equity. Benefits are subject to change and may vary based on employment status.
π Applicant Insights
π Company Context
Industry: Match Group is a leading provider of dating apps and services, with a portfolio of over 45 brands, including Tinder, OkCupid, and Hinge. The company operates on a global scale, with over 20 offices worldwide.
Company Size: Match Group has 1,001-5,000 employees, providing a mid-sized company environment with opportunities for growth and collaboration.
Founded: Match Group was founded in 1995 and has since grown to become a publicly traded company.
Company Description:
- Match Group is on a mission to spark meaningful connections for every single person in the world
- The company pioneered the concept of online dating and continues to foster innovation in the industry
- Match Group operates more than 45 brands under its portfolio, with hundreds of millions of singles finding meaningful connections using its products
Company Specialties:
- Online dating and social discovery
- Mobile app development
- Machine learning and data analysis
- Global expansion and localization
Company Website: mtch.com
ASSUMPTION: Match Group's focus on innovation and global expansion provides opportunities for growth and impact in this role.
π Role Analysis
Career Level: This role is a senior-level position, requiring a high level of expertise and experience in product management, data analysis, and machine learning.
Reporting Structure: The Senior Product Manager will report directly to the Vice President of Product and work cross-functionally with various teams, including engineering, design, marketing, and data science.
Work Arrangement: This role allows telecommuting from anywhere in the United States, offering flexibility for remote work.
Growth Opportunities:
- Potential to advance to a Director or Vice President of Product role within the company
- Opportunities to work on multiple products and brands within the Match Group portfolio
- Chance to gain experience in a fast-paced, global technology company
ASSUMPTION: This role offers significant growth potential for the right candidate, with opportunities to make a meaningful impact on the company's products and business.
π Location & Work Environment
Office Type: The primary office for this role is in Dallas, Texas, with the option to work remotely from anywhere in the United States.
Office Location(s): Dallas, Texas
Geographic Context:
- Dallas is the ninth-most populous city in the United States, with a diverse and growing tech industry
- The city offers a relatively low cost of living compared to other major tech hubs, with a range of housing options and neighborhoods
- Dallas has a humid subtropical climate, with mild winters and hot, humid summers
Work Schedule: Full-time, with flexible hours and the option to work remotely
ASSUMPTION: The remote work option and flexible work schedule provide a good work-life balance for this role.
πΌ Interview & Application Insights
Typical Process:
- Phone or video screen with the hiring manager
- Technical assessment or case study
- On-site or virtual interview with cross-functional stakeholders
- Final interview with the Vice President of Product
Key Assessment Areas:
- Product management skills and experience
- Data analysis and problem-solving abilities
- Machine learning and technical proficiency
- Communication and collaboration skills
- Cultural fit and alignment with company values
Application Tips:
- Highlight relevant experience in product management, data analysis, and machine learning
- Include specific examples of A/B tests, consumer-facing features, and revenue growth initiatives
- Tailor your resume and cover letter to emphasize your fit for this role and company
- Prepare for behavioral and technical interview questions, focusing on your problem-solving skills and ability to work cross-functionally
ATS Keywords: Product strategy, machine learning, data analysis, A/B testing, consumer-facing features, revenue growth, cross-functional collaboration, technical trade-offs, balancing business KPIs
ASSUMPTION: The interview process for this role will focus on assessing the candidate's technical skills, problem-solving abilities, and cultural fit within the company.
π οΈ Tools & Technologies
- Data analysis tools: Excel, Tableau, Advanced Analytical SQL
- Design and ideation tools: Figma, Sketch, Figjam, Miro
- Machine learning tools: Python, R, or other data analysis languages
- Project management tools: Asana, Jira, or similar
- Communication tools: Slack, Microsoft Teams, or similar
ASSUMPTION: The tools and technologies required for this role are standard in the industry and can be learned or adapted to by a qualified candidate.
π Cultural Fit Considerations
Company Values:
- Innovation
- Integrity
- Collaboration
- Accountability
- Customer-centric
Work Style:
- Data-driven and analytical
- Collaborative and cross-functional
- Fast-paced and dynamic
- Results-oriented and accountable
Self-Assessment Questions:
- Do you thrive in a data-driven environment and enjoy analyzing large datasets to make informed decisions?
- Are you comfortable working cross-functionally with various teams to drive product success?
- Do you have experience balancing business KPIs with user engagement and retention?
ASSUMPTION: Match Group values candidates who are innovative, collaborative, and results-oriented, with a strong focus on data-driven decision-making.
β οΈ Potential Challenges
- Working with large datasets and complex machine learning models may require significant time and effort to understand and optimize
- Balancing business KPIs with user engagement and retention can be challenging, requiring a strong understanding of both business and user needs
- Collaborating with cross-functional teams may require strong communication and project management skills to ensure alignment and progress
- Working remotely may present challenges in maintaining productivity and work-life balance
ASSUMPTION: These challenges can be overcome with strong technical skills, effective communication, and a results-oriented mindset.
π Similar Roles Comparison
- This role is similar to other Senior Product Manager roles in the tech industry, but with a focus on revenue growth and machine learning
- Compared to other dating app companies, Match Group offers a larger portfolio of brands and a more global presence
- Career progression in this role may lead to Director or Vice President of Product positions within the company
ASSUMPTION: This role offers unique opportunities for growth and impact within the dating app industry, with a focus on revenue growth and machine learning.
π Sample Projects
- Developing and implementing a new recommendation engine to increase user engagement and retention
- Conducting A/B tests to optimize consumer-facing features and improve user experience
- Analyzing user data to identify trends and opportunities for revenue growth and ecosystem impact
ASSUMPTION: These sample projects are representative of the types of initiatives a Senior Product Manager in this role might work on.
β Key Questions to Ask During Interview
- Can you describe the current product roadmap and how this role fits into the overall company strategy?
- How does the company support the growth and development of its product managers?
- What is the team structure and how does this role collaborate with other teams within the company?
- How does the company approach balancing business KPIs with user engagement and retention?
- What are the biggest challenges facing the product team currently, and how can this role help address them?
ASSUMPTION: These interview questions are designed to assess the company's culture, team structure, and strategic priorities, as well as the candidate's fit for the role.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience in product management, data analysis, and machine learning
- Prepare for the interview process by researching the company and practicing your problem-solving skills
- Follow up with the hiring manager one week after submitting your application to express your interest in the role
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.