Staff Product Manager, Machine Learning and Recommendations
Company: Tinder
Location: San Francisco
Posted on: November 13, 2024
Job Description:
Our MissionLaunched 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"The
RoleWe 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:
- Proven ability to create detailed specifications for
large-scale ML/AI features, setting high benchmarks for quality and
precision.
- Skilled in deconstructing complex ML/AI visions into clear,
actionable strategic steps, and crafting product roadmaps that
align with company objectives.
- Demonstrated capability to provide insights into the broader
strategic implications of features, influencing company-wide
direction and decisions.
- Experience in overseeing quality across multiple ML/AI
initiatives, ensuring user-centric outcomes and maintaining high
standards of business impact.
- Ability to guide decisions on whether to optimize existing
features or develop new solutions, with strong skills in risk
identification and management across a broad product
portfolio.
- Proficient in communicating project requirements, deadlines,
and impacts to cross-functional teams and senior leadership, while
securing stakeholder buy-in.
- Fosters a culture of teamwork and constructive feedback,
encourages open discussion, and resolves multi-team issues
collaboratively.
- Experience mentoring junior product managers, promoting a
culture of excellence, continuous learning, and inclusivity, while
embodying the company's values.
- Utilizes data insights to drive strategic product direction,
with a track record of managing impactful projects and applying
industry best practices to develop effective solutions. $ 200000-
$235000 a year The salary range for this position is $200,000 -
$235,000. 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
range is reflective of a position based in San Francisco,
California.. 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.Commitment to InclusionAt Tinder, we don't just accept
difference, we celebrate it. We strive to build a workplace that
reflects the rich diversity of our members around the world, and we
value unique perspectives and backgrounds. Even if you don't meet
all the listed qualifications, we invite you to apply and show us
how your skills could transfer. Tinder is proud to be an equal
opportunity workplace where we welcome people of all sexes, gender
identities, races, ethnicities, disabilities, and other lived
experiences. Learn more here:If you require reasonable
accommodation to complete a job application, pre-employment
testing, or a job interview or to otherwise participate in the
hiring process, please speak to your Talent Acquisition Partner
directly.
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Keywords: Tinder, Tracy , Staff Product Manager, Machine Learning and Recommendations, Executive , San Francisco, California
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