Careers at Match Group

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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. 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 Role As a Staff Software Engineer focused on Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. The team develops cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. 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. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. 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 Trust and Safety experiences. Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc. 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 models. 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 the Trust & Safety domain. In-depth knowledge of deep neural networks, particularly in the safety domain. 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. $ 245000- $310000 a year The salary range for this position is $245,000 - $310,000. 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/27017631", "isPrivate": false}, {"id": 25250098, "name": "Staff Software Engineer, Machine Learning", "location": "Palo Alto, California", "locations": ["Palo Alto, California"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1745384507, "t_create": 1727209637, "ats_job_id": "e7498257-f48a-4ed6-b5ee-5d3002878057", "display_job_id": "R0004014", "type": "ATS", "id_locale": "R0004014-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. 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. About The Role 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 within 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. 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. 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 systemsIn-depth knowledge of deep neural networks, particularly in the recommendations. 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. $ 245000- $310000 a year The salary range for this position is $245,000 - $310,000. 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": 23601861, "name": "Sr. Software Engineer, Machine Learning", "location": "Palo Alto, California", "locations": ["Palo Alto, California"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1745384507, "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. $ 205000- $260000 a year The salary range for this position is $205,000 - $260,000. 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": 27281851, "name": "Sr. Anti Abuse Analyst", "location": "Los Angeles, California", "locations": ["Los Angeles, California"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1745384507, "t_create": 1739558530, "ats_job_id": "04e4393d-2eb5-4b47-9b55-cbe1f5ac4ada", "display_job_id": "04e4393d-2eb5-4b47-9b55-cbe1f5ac4ada", "type": "ATS", "id_locale": "2221300321007670384-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 The Tinder Integrity team is responsible for systems, algorithms, and policies that keep Tinder and its members safe. It is a multidisciplinary team of engineers, ML practitioners, product managers, analysts, and policy experts. Our Anti Abuse team is responsible for proactively identifying, investigating and mitigating scaled abuse and other threats to the integrity of Tinder. The team works cross-functionally to design, build, test, and implement automated detection signals and algorithms that accurately and effectively target bad actors at scale. Where you'll work This is a hybrid role and requires in-office collaboration two times per week (Los Angeles / Palo Alto). In this role, you will: Own and lead detection areas, proactively identifying, investigating, and mitigating scaled abuse threats through data-driven insights, automation, and advanced detection techniques. Lead and improve the on-call incident response process, ensuring efficient triage, escalation, and resolution of emerging threats. Define best practices and enhance automated responses to minimize manual intervention. Monitor and investigate emerging abuse trends, linking anomalous activity to core KPIs and implementing proactive mitigation strategies. Mentor and guide junior team members, sharing technical expertise, developing best practices, and ensuring consistency in detection methodologies. Drive and deliver complex projects, from problem discovery to execution, ensuring measurable impact while continuously iterating on detection systems. Develop scalable, durable and efficient abuse detection systems, optimizing for complexity, precision, and performance while proactively surfacing new abuse tactics and vulnerabilities. Discover and address underlying abuse patterns, leveraging reports and insights from different sources to refine detection strategies and create repeatable engineering solutions. Collaborate with cross-functional partners (Product, Policy, Member Experience, and Engineering) to align detection strategies with broader safety initiatives. You will need: 5+ years of professional experience in Trust & Safety, Cybersecurity, Anti-Spam, Anti-Abuse, or a related field, with a strong track record of ownership and project delivery. Professional expertise in Python, SQL, Spark, or similar big data query tools, with the ability to build, optimize, and productionize large-scale detection systems. Deep knowledge of abuse threat actors and evasion tactics, with experience designing scalable, high-precision detection and remediation models. Proven experience leading cross-functional initiatives with Product, Engineering, and customer-facing teams to drive impactful safety improvements. Exceptional communication and presentation skills, especially to executive and non-subject-matter-expert audiences. $ 146500- $170000 a year The salary range for this position is $146,500 - $170,000. 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 Los Angeles, 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": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27281851", "isPrivate": false}, {"id": 26279518, "name": "Associate Social Media Manager", "location": "Los Angeles, California", "locations": ["Los Angeles, California"], "hot": 0, "department": "Tinder", "business_unit": "Marketing", "t_update": 1745384507, "t_create": 1733255383, "ats_job_id": "81b95564-4358-4a95-8681-50098d6ed487", "display_job_id": "81b95564-4358-4a95-8681-50098d6ed487", "type": "ATS", "id_locale": "4013543412626631730-en", "job_description": "Create, review, and post content across key social channels, particularly TikTok and Instagram. Work closely with creative and design teams to develop high-quality, on-brand social assets, including graphics, videos, and other multimedia. Monitor trends and quickly react to relevant cultural moments by executing real-time content that aligns with brand goals. Help manage community engagement, responding to comments, messages, and user-generated content to foster a vibrant, inclusive online community. Support influencer partnerships by assisting with influencer selection and vetting, content review, coordination, and campaign execution. Track performance metrics for all social content, providing regular updates and insights to help inform future strategies. Project management and administration including managing a budget, managing timelines, setting up social posts, monitoring and reporting on posts (owned and influencer). 2+ years of hands-on experience creating social content for a consumer brand, either in-house or at an agency, including copywriting and video editing. Collaboration - someone who loves to share insights, learnings, and big ideas, and can work cross-functionally to bring things to life. Strong communication and organizational skills, with the ability to manage multiple projects in a fast-paced environment. A proven track record writing, creating, and editing funny, relatable content for a consumer brand social page. 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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. $ 205000- $260000 a year The salary range for this position is $205,000 - $260,000. 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. 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Comfort building and executing tailor-made strategies that span creative marketing, business growth, media and product development Proven ability to manage and grow brand strategy within the pop culture and youth marketing space. Experience working in a matrixed organization and leading cross-functional teams. Cultural Fluency: Deep understanding of youth culture and the unique cultural nuances of the DACH region. Native German speaker; fluency in English is essential. Leadership Skills: Demonstrated ability to build, inspire, and lead high-performing teams. Strong interpersonal communication skills with experience in managing virtual and cross-functional teams. Proven experience in top talent and influencers management Strong mix of conceptual and analytical capabilities in combination with a hands-on and agile mentality to get things done. Execution & Agility: Proven track record of managing multiple, complex tasks simultaneously and prioritizing adequately to maximize business impact in a fast-paced environment. A creative problem-solver with a hands-on, proactive approach to driving results. Additional Attributes: Strong executive presence with a robust network in technology, entertainment, or media. Experience developing and executing custom strategies across marketing, business growth, and media. Previous success in driving marketing for digital services, especially membership models or subscription businesses. Background in entertainment or live experiences at scale is a strong plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27938163", "isPrivate": false}, {"id": 25991191, "name": "Sr. Product Manager (Recommendations)", "location": "San Francisco, California", "locations": ["San Francisco, California"], "hot": 0, "department": "Tinder", "business_unit": "Product Management", "t_update": 1745384507, "t_create": 1731104593, "ats_job_id": "a9ad2941-8fd8-4195-9a34-b9f0bd86ef70", "display_job_id": "R0004090", "type": "ATS", "id_locale": "R0004090-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 The Role We are looking for a Senior 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 technical background in machine learning and AI, product management experience, 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. This position is based in San Francisco or Palo Alto CA In this role, you will: Develop detailed specifications for large-scale ML/AI driven recommendations features critical to the business, guiding teams through the development process while considering the broader strategic implications of each feature. Partner closely with engineering and data science to improve Tinder recommendations. Understand markets, ecosystem effects, and user requirements in depth. Launch new products and features, test their performance, and iterate quickly. 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. Represent the company's culture and values, and drive inclusivity across teams. Utilize data insights and voice of the customer to drive product decisions. You'll need: 3-5 years of experience in product management or a related technical role. Background in recommendation systems or related ML/AI systems, ensuring user-centric outcomes and maintaining high standards of business impact. Demonstrated leadership experience working effectively with engineers, data scientists, and ML practitioners. Skills in deconstructing complex product visions into clear, actionable strategic steps, and crafting product roadmaps that align with company objectives. Strong written and verbal communications skills for sharing project requirements and strategic insights with cross-functional teams and leadership. 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. $ 190000- $200000 a year The salary range for this position is $190,000 - $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 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. 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