What are the responsibilities and job description for the Staff Product Manager, Machine Learning and Recommendations Hot Job San Francisco, California [...] position at Lifeattinder?
Staff Product Manager, Machine Learning and Recommendations
Location
While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.
Department : Product Management
Job Type : Full Time
Our Mission :
Launched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need : real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45 languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe.”
Our Values : One Team, One Dream
We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.
Own It
We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.
Spark Solutions
We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.
The Role :
We are looking for a Staff Product Manager to lead the strategy and execution for Tinder's recommendations ML / AI team. In this critical role, you will drive the enhancement of our recommendation systems, leveraging advanced machine learning algorithms, cutting-edge AI technologies, and sophisticated user behavior modeling to deliver highly personalized experiences for our members. You will be responsible for setting the vision, defining key metrics, and overseeing the development of innovative features that push the boundaries of personalization and engagement.
The ideal candidate will have a strong technical background in machine learning and AI, extensive experience in product management, and a track record of using data-driven insights to drive impactful product improvements. Your expertise in both strategic planning and hands-on execution will be essential in shaping the future of our recommendation systems and ensuring they meet the evolving needs of our global user base.
Where you’ll work :
This is a hybrid role and requires in-office collaboration two times per week. This position is located in San Francisco, and / or Palo Alto California.
In this role, you will :
- Develop detailed specifications for large-scale ML / AI features critical to the business, setting benchmarks for quality.
- Decompose complex ML / AI visions into clear, strategic steps, guiding teams through the development process while considering the broader strategic implications of each feature.
- Oversee quality across multiple ML / AI initiatives, ensuring user focus and strong analytical grounding. Establish and enforce high standards of quality, monitor performance, and guide teams to enhance overall product quality.
- Lead the development of industry-standard solutions in terms of scalability and durability.
- Exhibit deep ownership of large-scale ML / AI features and their performance.
- Communicate effectively with the broader product team, cross-functional partners, and senior leadership. Clearly articulate project requirements, deadlines, deliverables, and impact for critical initiatives, and achieve stakeholder buy-in.
- Surface and resolve issues, provide sincere and constructive feedback, encourage respectful opinion sharing, and use disagreements as opportunities for productive discussions.
- Mentor junior Product Managers and represent the company’s culture and values.
- Utilize data insights to strategically drive product direction.
- Represent the voice of the customer in product decisions and advocate for their perspective in complex business issues.
You’ll need :
As a full-time employee, you’ll enjoy :
Salary Range :
200,000 - $235,000 a year
Factors such as scope and responsibilities of the position, candidate's work experience, education / training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
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Salary : $200,000 - $235,000
