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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, \u201cIt Starts with a Swipe\u201d\u2122\" 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. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. 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. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high\u2014making the level of impact each engineer gets to have at Tinder enormous. We currently have two open Staff Software Engineer, Machine Learning positions. One is on our Recommendations team, and one is on our Trust and Safety team: Our ML team is responsible for developing machine learning algorithms and systems for Tinder recommendations. Recommendation algorithms directly determine potential matches on Tinder and optimize the entire ecosystem to drive critical business metrics. You'll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day.The Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people. About The Roles As a Staff Software Engineer focused on recommendations, you'll play a pivotal role in shaping the future of personalized matchmaking at Tinder. Working closely with our ML team, you'll design, implement, and scale systems that influence millions of users worldwide. Leveraging cutting-edge machine learning techniques, you'll drive key innovations that enhance user experiences and improve critical business outcomes. Your work will directly contribute to optimizing our recommendation algorithms, ensuring users discover meaningful connections while balancing the ecosystem's health. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. The Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people. Where you'll work This is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA. In this role, you will: Lead the modeling efforts of Tinder's recommendation system or Trust and Safety experiences. Apply state-of-the-art machine learning techniques, including deep learning, reinforcement learning, causal inference, and optimization, to enhance our foundational models. Develop algorithms that optimize our complex ecosystem to meet multiple disparate objectives. Lead the research and development of novel algorithms and models, staying at the forefront of advancements in ML technologies. Work with big data to improve the accuracy and relevance of recommendations. Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives. Mentor and guide team members, fostering their growth and enabling them to reach their full potential. You'll need: 8+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scale. PhD or MS in machine learning, computer science, statistics, or another highly quantitative field. Hands-on experience in designing and building large-scale recommendation systems and/or have trust and safety experience. In-depth knowledge of deep neural networks, particularly in the recommendations or safety domains. Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc. Proficiency in Python, Java, Scala, or similar programming languages. Strong decision-making skills with a bias for action and the ability to navigate ambiguity with confidence. Proven leadership abilities to inspire and motivate teams to excel and achieve ambitious goals. $ 220000- $245000 a year The salary range for this position is $220,000 - $245,000. 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 Palo Alto. 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 Inclusion At 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: https://www.lifeattinder.com/dei 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. Tinder", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/25250098", "isPrivate": false}, {"id": 23846119, "name": "Sr. Software Engineer, Backend", "location": "Palo Alto, California", "locations": ["Palo Alto, California"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1729281911, "t_create": 1720567443, "ats_job_id": "993da1b6-6845-4efe-a20e-b7f8578ec284", "display_job_id": "R0003900", "type": "ATS", "id_locale": "R0003900-en", "job_description": "Our Mission Launched in 2012, Tinder\u00ae 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, \u201cIt Starts with a Swipe\u201d\u2122\" 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. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. 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. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team: The Essential Services team is responsible for building highly scalable and resilient systems that ensure continued business excellence at Tinder and unlock meaningful features to bring people together. Although we are a high-scale tech company, the member-to-engineer ratio is very high\u2014making the level of impact each engineer gets to have at Tinder enormous. As a Senior Backend Engineer at Tinder, you will have an outsized impact and ownership of the most critical services that enable and support the core experience of the Tinder app. We are deeply invested in challenging norms, constantly improving architecture design, exploring emergent tech and ideas, and leveraging new technologies in interesting ways to deliver an app that is widely known the world over. You will be responsible for driving the next generation of platforms serving the most essential Tinder workflows, including real-time client-server communications, stateful message delivery, user state and profile management, and more. Where you'll work: This is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA or San Francisco, CA. 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 Never Stop Learning: We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving 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 Embrace Our Differences: We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team In this role, you will: Design, develop and operate scalable and resilient distributed services that run on Kubernetes or ECS Collaborate with various functional teams across Tinder on the expansion of our service platform Tightly maintain critical services with clear ownership to ensure the continued business excellence while effectively unlocking business enablement across pillars/teams Define key objectives, values and metrics connected to critical services, and monitor them in production Influence the team roadmap and product development Recruit, encourage, and develop other team members $ 180000- $215000 a year The salary range for this position is $180,000 - $215,000. 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 Palo Alto or San Francisco. 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 Inclusion At 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: https://www.lifeattinder.com/dei 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. Tinder", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/23846119", "isPrivate": false}, {"id": 23601861, "name": "Sr. Software Engineer, Machine Learning", "location": "Palo Alto, California", "locations": ["Palo Alto, California"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1731214889, "t_create": 1719270504, "ats_job_id": "c02852a9-0876-4915-8f16-80352425af2b", "display_job_id": "R0003996", "type": "ATS", "id_locale": "R0003996-en", "job_description": "Our Mission Launched in 2012, Tinder\u00ae 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, \u201cIt Starts with a Swipe\u201d\u2122\" 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. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. 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. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high\u2014making the level of impact each engineer gets to have at Tinder enormous. Our ML team is responsible for the development of machine learning algorithms and systems for recommendations at Tinder. Recommendation algorithms directly determine potential matches on Tinder and optimize the entire ecosystem to drive critical business metrics. You'll have a unique opportunity to join a company with a global footprint while working on a team that's small enough for you to feel the impact each day. Where you'll work: This is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA. 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. Never Stop Learning: We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. 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. Embrace Our Differences: We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. In this role, you will: Apply state-of-the-art machine learning techniques, including deep learning, reinforcement learning, causal inference, and optimization, to enhance our foundational recommendation models. Leverage your expertise to deliver highly personalized and curated recommendations tailored to our users' preferences. Develop algorithms that optimize our complex ecosystem to meet multiple disparate objectives. Design and implement cutting-edge machine learning algorithms using deep learning frameworks and distributed data processing frameworks such as Spark. Work with big data (handling 1.6B\\+ user swipes per day) to improve the accuracy and relevance of recommendations. Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives. $ 180000- $220000 a year The salary range for this position is $180,000 - $220,000. 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 Palo Alto, CA. 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 Inclusion At 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: https://www.lifeattinder.com/dei 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. Tinder", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/23601861", "isPrivate": false}, {"id": 25303411, "name": "Sr. Software Engineer, Machine Learning Infrastructure", "location": "Palo Alto, California", "locations": ["Palo Alto, California"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1731214889, "t_create": 1727481254, "ats_job_id": "17283432-7544-4c56-a225-efd5625a0bde", "display_job_id": "17283432-7544-4c56-a225-efd5625a0bde", "type": "ATS", "id_locale": "8042972846046517223-en", "job_description": "Our Mission Launched in 2012, Tinder\u00ae 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, \u201cIt Starts with a Swipe\u201d\u2122\" 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. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. 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. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high\u2014making the level of impact each engineer gets to have at Tinder enormous. The machine learning infrastructure team develops infrastructures and systems that support end-to-end machine learning development cycle, including training, serving, feature management, model management, monitoring and observability, etc. About The Role We are looking for a Sr. Software Engineer to help shape and develop the future of Tinder's Machine Learning infrastructure. Your work will empower teams across Tinder to rapidly test hypotheses and scale their experiments on massive datasets, reaching hundreds of billion data points. In this role, you'll collaborate closely with multiple machine learning teams to drive impactful innovation. Where you'll work: This is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA. In this role, you will: Build robust and scalable infrastructure to support the diverse needs of machine learning engineers across all Tinder business units. Set future technical directions for Tinder's ML infrastructure. Mentor junior team members. Leverage your experience to drive best practices in ML and data engineering. Collaborate with cross functional agile teams of software engineers, data engineers, ML experts, and others in building new product features. Develop and maintain robust infrastructure for large language models (LLMs). Develop strategies for model evaluation and quality assurance. You'll need: 5+ years of experience with developing platforms related to machine learning training, serving, feature management, experimentation, etc. Bachelor's degree in Computer Science, Engineering, Technology, or a related field. Strong understanding of data-driven development, reliability principles, and responsible experimentation practices. Extensive experience with big data processing and storage frameworks such as Hadoop, Spark, Flink, Cassandra, or Kafka. Solid foundation in machine learning concepts like regression, classification, clustering, training, testing, validation, and performance measurement. Proven ability to lead cross-functional initiatives, communicate effectively, and collaborate in team-oriented environments. A strong background in distributed systems, cloud computing, and MLOps, with hands-on experience in working with transformers and other deep learning architectures. Bridge the gap between cutting-edge research and production-ready AI systems. $ 180000- $220000 a year The salary range for this position is $180,000 - $220,000. 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 Palo Alto. 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 Inclusion At 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: https://www.lifeattinder.com/dei 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. Tinder", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/25303411", "isPrivate": false}, {"id": 25303431, "name": "Sr. Software Engineer, Generative AI", "location": "Palo Alto, California", "locations": ["Palo Alto, California"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1731214889, "t_create": 1727481762, "ats_job_id": "997ab99c-a148-44d6-b7ea-02071abd4c1d", "display_job_id": "997ab99c-a148-44d6-b7ea-02071abd4c1d", "type": "ATS", "id_locale": "826670347319669931-en", "job_description": "Our Mission Launched in 2012, Tinder\u00ae 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, \u201cIt Starts with a Swipe\u201d\u2122\" 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. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. 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. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team The Engineering team at Tinder is dedicated to creating innovative features and robust systems that connect people worldwide. We continuously experiment with new ways to engage our members. Despite our global scale, each engineer has an enormous impact due to our high member-to-engineer ratio, giving you the opportunity to make a real difference. AI is a top priority at Tinder, and our Generative AI team is at the forefront of developing features powered by cutting-edge technologies, including large language models (LLMs) and diffusion models. This is a rare opportunity to work on groundbreaking AI-driven products at a company with a global reach, all while being part of a small, agile team where your contributions are felt every day. Where you'll work This is a hybrid role and requires in-office collaboration two times per week. This position is located in Palo Alto, CA. In this role, you will: Conduct applied research of Generative AI, and develop product prototypes. Stay at the forefront of advancements in AI. Develop Generative AI based features in production. Work with big data (handling billions of user swipes per day). Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives. Mentor and guide team members, fostering their growth and enabling them to reach their full potential. You'll need: 5+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scale. PhD or MS in machine learning, computer science, statistics, or another highly quantitative field. In-depth knowledge of deep neural networks, particularly in NLP and CV. Hands on experience in Generative AI. Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc. Proficiency in Python, Java, Scala, or similar programming languages. Strong decision-making skills with a bias for action and the ability to navigate ambiguity with confidence. Proven leadership abilities to inspire and motivate teams to excel and achieve ambitious goals. $ 180000- $220000 a year The salary range for this position is $180,000 - $220,000. 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 Palo Alto. 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 Inclusion At 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: https://www.lifeattinder.com/dei 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. Tinder", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/25303431", "isPrivate": false}, {"id": 24215337, "name": "Sr. Product Manager, Safety Experience", "location": "San Francisco, California", "locations": ["San Francisco, California"], "hot": 0, "department": "Tinder", "business_unit": "Product", "t_update": 1728050062, "t_create": 1722376075, "ats_job_id": "2f1f507b-9c35-4f8d-a34a-2b13f461d91d", "display_job_id": "2f1f507b-9c35-4f8d-a34a-2b13f461d91d", "type": "ATS", "id_locale": "5620602827269757009-en", "job_description": "Our Mission Launched in 2012, Tinder\u00ae 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, \u201cIt Starts with a Swipe\u201d\u2122\" 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. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. 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. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team and Role We are looking for a Senior Product Manager to lead and develop the Safety Experience roadmap to: \\- Foster healthy interactions among users and maintain a respectful community, \\- Ensure our moderation user experiences are fair, transparent, and humane. This role is part of our Integrity (Trust & Safety) team, working to make Tinder the safest place to meet new people. Where you'll work: This is a hybrid role and requires in-office collaboration two days per week. This position is located in San Francisco, or Palo Alto, CA. In this role, you will: Lead, influence, and take responsibility for the strategy, outcomes, and execution of the Safety Experience roadmap. Define the requirements, design, and delivery of user-facing features to improve member safety. Create wireframes, narratives, and other illustrations to convey feature ideas and gather feedback. Balance input from a wide variety of stakeholders with potentially competing ideas. Collaborate with cross-functional partners, such as Marketing, Member Experience, Creative, Legal, Privacy, and X-Product teams, to increase user awareness of safe behaviors and access to safety resources. Advocate for fair and transparent user experiences within our moderation and new feature development. Gather insights from Consumer/UX Research and data analysis to inform decision-making. Engage with industry associations and non-profit organizations for expert advice. You'll need: Initiative and the ability to work independently, with 5+ years of experience in product design and management. Deep empathy and curiosity about user safety issues. Ability to think strategically and solve complex problems with structured approaches. Experience delivering products from inception to launch by collaborating with multiple stakeholders. Strong commitment to advocating for the Tinder user's safety experience. Exposure to Trust & Safety operations and User Generated Content (UGC) moderation practices. Experience launching consumer-facing features across platforms (iOS, Android, and Web). Strong analytical and design aptitude, with experience working with ML/AI teams to drive solutions. Effective communication skills, including strong listening, verbal, and written abilities. $ 175000- $200000 a year The salary range for this position is $175,000 - $200,000. 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 or Palo Alto, 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 Inclusion At 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. 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Translate complex research data into clear, actionable insights that inform product strategy, design decisions, and user experience improvements. Bring user insights to life to communicate research findings using storytelling techniques including video, data visualization, personas, journey maps, and more. Work closely with product managers, designers, engineers, and other stakeholders to identify research needs and align research objectives with business goals. Champion user-centered design principles and ensure the voice of the user is consistently represented in all stages of product development. Closely collaborate with the Voice of the Customer (VoC) team to integrate customer feedback and insights into research findings, ensuring a holistic understanding of user needs and pain points. Communicate VoC effectively to all levels of the organization. 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Demonstrated experience in an agile development environment and a deep understanding of product design processes. 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Working knowledge of design tools like Figma and experience with wireframing / whiteboarding. Proven track record of launching and managing product features that drive a meaningful impact for the users and business across platforms (iOS, Android, and Web).Experience delivering products from conception to launch by collaborating with multiple stakeholders. Experience defining metrics and data analysis to make product and strategic decisions based on A/B testing and/or qualitative feedback. Strong analytical and design aptitude, with experience working with ML/AI teams to drive solutions. The ability to assess the impact of a feature not only on end users but also the platform it's being built for. The ability to anticipate risks early in the product lifecycle to formulate comprehensive mitigation plans. Ability to think strategically and solve complex problems with structured approaches. Demonstrate strong written and verbal communication to non-technical and technical audiences to communicate complex ideas simply and creatively. Great teammate with deep product management experience that is an expert communicator, coordinator and collaborator that can work cross functionally. 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Be an authority with a point of view for the organization, using data to constantly challenge and reshape our current understanding of customer behavior and business performance. Derive and communicate data-driven recommendations regarding both the prioritization of potential product/marketing initiatives and the performance of current initiatives. Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting. Bachelor's degree in a quantitative field (e.g. Economics, Computer Science, Statistics), Master's degree or PhD preferred 2-4 years of professional working experience in Data Science and/or analytics. Experience with SQL, data visualization tools (e.g., Tableau or Mode), and A/B testing is required. Familiarity with Python/R, using descriptive and inferential statistics and machine learning models. 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