Match Group jobs in palo alto california

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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 We are looking for a Product Manager to own the development and delivery of Trust and Safety User Experience features. These features should make it easy for users to feel safe on Tinder. This role sits on our Trust & Safety team. Where you'll work: This is a hybrid role and requires in-office collaboration three times per week in our San Francisco or Palo Alto offices. In this role, you will: Lead the Tinder Trust & Safety User Experience strategy and roadmap Own the prioritization, design, and delivery of user-facing features and backend systems that will help users present their authentic selves and stay safer on the platform Synthesize and balance security, privacy, and usability to craft seamless safety products Collaborate with XFN stakeholders to identify and implement features that reduce prevalence of bad actors and deter behavior against our community guidelines Gather and evaluate customer research and data analysis Communicate product vision to senior leadership and XFN stakeholders Partner with designers and engineers to create, test, and launch beautiful and intuitive user experiences Build wireframes, product requirements, and other illustrations to convey feature ideas and gather feedback Implement metrics to measure the success of program features, analyze results, and use this analysis to inform further iteration What You Bring: You possess experience with Web, Android and iOS platforms and a deep knowledge of user behavior You are passionate about creating consumer products with experience building them You have the ability to structure problem-solving approaches and to bring multiple solutions to solving complex problems $ 160000- $175000 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. 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/38273157", "isPrivate": false}, {"id": 38997655, "name": "iOS Engineer Intern", "posting_name": "iOS Engineer Intern", "location": "Los Angeles, California", "locations": ["Los Angeles, California", "Palo Alto, California"], "hot": 0, "department": "Tinder", "business_unit": "Tindership & University Grads", "t_update": 1773421546, "t_create": 1763754627, "ats_job_id": "178e6f99-ddbb-43e1-9e4c-fe2b524e0861", "display_job_id": "178e6f99-ddbb-43e1-9e4c-fe2b524e0861", "type": "ATS", "id_locale": "4995336802735368793-en", "job_description": "Build robust, lasting, and scalable products that serve millions of users. Work on systems that handle billions of data events a day. Leverage large scale multi-channel communications to keep users well-informed (push notifications, emails, in-app messaging, and more). Write unit and integration tests. Aspiring iOS developer who's excited to work on large scale challenges with cutting-edge technology. Proficiency in coding with Swift. Foundational knowledge of basic Computer Science principles: data structures and algorithms. Currently pursuing a BS/BA, MS, or PhD in Computer Science or a related field.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38997655", "isPrivate": false}, {"id": 38999251, "name": "Backend Engineer Intern", "posting_name": "Backend Engineer Intern", "location": "Palo Alto, California", "locations": ["Palo Alto, California", "Los Angeles, California"], "hot": 0, "department": "Tinder", "business_unit": "Tindership & University Grads", "t_update": 1773421318, "t_create": 1763755762, "ats_job_id": "724734f1-b60b-49ae-8905-8663de76ad7a", "display_job_id": "724734f1-b60b-49ae-8905-8663de76ad7a", "type": "ATS", "id_locale": "4666401757933913301-en", "job_description": "Develop and operate scalable and resilient distributed services that run on Amazon Web Services (AWS). Build large scale distributed systems that handle billions of data events a day. Write unit and integration tests. Access to cutting-edge Generative AI tools and the opportunity to apply them in real-world engineering work. Aspiring backend developer who's excited to work on large scale challenges with cutting-edge technology. Proficiency in coding with at least one language (Java, Scala, Python,Typescript, Nodejs, etc.). Foundational knowledge of basic Computer Science principles: data structures and algorithms. Curiosity and creativity in leveraging Generative AI to reimagine feature building and development workflows. Currently pursuing a BS/BA, MS, or PhD in Computer Science or a related field.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38999251", "isPrivate": false}, {"id": 18798293, "name": "Software Engineer, iOS", "posting_name": "Software Engineer, iOS", "location": "Palo Alto, California", "locations": ["Palo Alto, California", "Los Angeles, California", "San Francisco, California"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1773443322, "t_create": 1698071856, "ats_job_id": "61e35c3c-3156-4760-a088-4a3765e37f8e", "display_job_id": "R0004795", "type": "ATS", "id_locale": "R0004795-en", "job_description": "Build compelling in-app experiences that will reach millions of users globally Contribute to internal shared frameworks and libraries 1 - 3 years of experience building consumer-facing applications with native iOS Full life cycle experience building applications in Swift Proficient in Swift concepts (structs, optionals, generics etc.) Experience building user-facing features with autolayout Familiar with popular architecture patterns such as MVVM / Clean and their uses Knowledge of iOS memory management and protocol-oriented programming Experience building and testing large-scale iOS apps and/or codebases Proficiency writing your own unit tests Clear and solutions oriented communication style with a passion for code quality Willingness to work collaboratively in an Agile environment (scrum, planning poker, standup, etc.)", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/18798293", "isPrivate": false}, {"id": 38999617, "name": "Android Engineer Intern", "posting_name": "Android Engineer Intern", "location": "Palo Alto, California", "locations": ["Palo Alto, California", "Los Angeles, California"], "hot": 0, "department": "Tinder", "business_unit": "Tindership & University Grads", "t_update": 1773423284, "t_create": 1763756319, "ats_job_id": "84135a99-e009-4764-8e88-f0dba164d097", "display_job_id": "84135a99-e009-4764-8e88-f0dba164d097", "type": "ATS", "id_locale": "3167696740706539436-en", "job_description": "Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive\u2014and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Program Duration The internship program will run from June 1 through August 28, 2026. Where you'll work This is a hybrid role that requires in-office collaboration three days per week in either Los Angeles or Palo Alto, California. About the Role As an Android Engineer Intern, you'll collaborate with senior engineers to design, build, and ship features that impact millions of users. You'll work within a highly collaborative, technical environment focused on improving architecture, exploring new technologies, and delivering a world-class app experience. What you'll do: Assist with developing and testing new features for the Tinder Android app. Collaborate with engineers and designers to improve the user experience. Learn how to write clean, maintainable, and efficient code. Contribute to team discussions, code reviews, and problem-solving sessions. Contribute to the evolution and maintenance of Tinder's UI platform and design system infrastructure. What we're looking for: Interest in Android development and learning how large mobile apps are built. Basic programming experience in Kotlin. Understanding of data structures and algorithms from coursework or personal projects. Currently pursuing a Bachelor's or Master's degree in Computer Science or a related field. $ 47- $47 a year The compensation range listed above is representative of the hourly rate offered. 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, and Palo Alto, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), 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/38999617", "isPrivate": false}, {"id": 39002212, "name": "Machine Learning Engineer Intern", "posting_name": "Machine Learning Engineer Intern", "location": "Palo Alto, California", "locations": ["Palo Alto, California"], "hot": 0, "department": "Tinder", "business_unit": "Tindership & University Grads", "t_update": 1773464488, "t_create": 1763758899, "ats_job_id": "ce55175b-fdd1-40ca-9407-7cc5e1533982", "display_job_id": "ce55175b-fdd1-40ca-9407-7cc5e1533982", "type": "ATS", "id_locale": "6481689463870060660-en", "job_description": "Gain real-world experience on exciting challenges to improve the user experience. Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue. Experience the ML model formulation of production problem under the guidance. Aspiring ML Engineer who's excited to work on large scale challenges with cutting-edge technology. Practical knowledge of how to build efficient end-to-end ML workflows. Proficient in Python. Hands-on experience in designing and building ML models. Foundational knowledge of basic Computer Science principles: data structures and algorithms. Currently pursuing a BS/BA or MS in Computer Science or a related field.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/39002212", "isPrivate": false}, {"id": 39767313, "name": "Sr. Software Engineer, Machine Learning Infrastructure", "posting_name": "Sr. Software Engineer, Machine Learning Infrastructure", "location": "Palo Alto, California", "locations": ["Palo Alto, California"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1773464486, "t_create": 1769626259, "ats_job_id": "20ae111e-6f47-46cf-b525-4c56ab9551f6", "display_job_id": "20ae111e-6f47-46cf-b525-4c56ab9551f6", "type": "ATS", "id_locale": "997849035127200113-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 Our ML Infrastructure team builds the platforms, tooling, and services that power applied machine learning across Tinder. We provide the foundations for training, deploying, and monitoring large-scale ML systems that impact core experiences like Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization. The Role In this position, we are looking for a Senior Machine Learning Infra Engineer who can build foundational ML infra, including feature store and efficient serving platform (LLM serving). Just to give you a high level overview of the team, ML team at Tinder is organized into three groups with different roles: \\- Machine Learning Engineers who focus on modeling and algorithmic innovation. \\- Machine Learning Infrastructure Engineers (this role) who build the platforms and tools that enable scalable training, serving, and feature management. \\- Machine Learning Software Engineers who bridge the gap between research and production \u2014 delivering machine learning models into real-world Tinder features at scale. In this role, you'll partner closely with ML engineers, ML software engineers, and the CloudOps team to increase the ML organization's overall velocity by building and evolving feature store infrastructure and enabling large-scale model serving. You'll own projects end to end, working in tight alignment with ML teams to ensure infrastructure improvements are actually adopted and drive real impact. ML team at Tinder is driving significant business impact across domains and this infrastructure team is uniquely position to amplify that impact across the domains. For example, enabling more efficient and scalable model serving directly unlocks larger models across the domains, which can lead to consistent metric improvements across multiple product surfaces. Where you'll work This is a hybrid role and requires in-office collaboration three days per week. This position is located in Palo Alto, CA In this role, you will: Build and evolve robust, scalable ML infrastructure that supports ML engineers across all Tinder business domains Set and drive the long-term technical direction for Tinder's ML infrastructure Design, build, and operate production-grade ML serving infrastructure for ML models using Ray Serve and Triton Develop and maintain robust serving infrastructure specialized for serving large language models (LLMs) in-house Develop efficient ML serving platform using Ray Serve and Triton Build the foundation of Tinder's feature store using Databricks and internal tooling Own infrastructure projects end to end\u2014from design and implementation to adoption and measurable impact. Partner closely with ML Engineers, ML Software Engineers, and CloudOps to ensure infrastructure directly enables better models and faster iteration Establish and propagate best practices in ML infrastructure, data engineering, and model serving Mentor and support junior engineers, raising the technical bar across the team You'll need: Bachelor's degree in Computer Science, Engineering, Technology, or a related field. 5+ years of experience building or operating ML platforms, including training, serving, feature management, or experimentation systems. Hands-on experience designing, building, or running feature stores at scale. Strong software engineering fundamentals, with proficiency in Python and at least one of Java, Scala, Go, or a similar language. Practical experience with ML serving platforms such as Triton, Ray Serve, or Seldon. Solid grasp of core machine learning concepts, including model training, evaluation, validation, and performance measurement. Proven ability to lead cross-functional initiatives and work effectively across ML, infrastructure, and product teams Deep experience in distributed systems, cloud infrastructure, and MLOps, with hands-on exposure to transformers and modern deep learning architectures Ability to bridge the gap between cutting-edge ML research and reliable, production-grade systems $ 220000- $250000 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. 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/39767313", "isPrivate": false}, {"id": 29939447, "name": "Software Engineer, Backend", "posting_name": "Software Engineer, Backend", "location": "Palo Alto, California", "locations": ["Palo Alto, California", "Los Angeles, California"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1773378123, "t_create": 1751046851, "ats_job_id": "f14dbcb6-f740-4c95-9634-6dd87ba3f4df", "display_job_id": "R0004838", "type": "ATS", "id_locale": "R0004838-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. As a Backend Engineer at Tinder, you will have an outsized impact and ownership of the most visible aspects 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. 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 Influence the team roadmap and product development Recruit, encourage, and develop other team members You'll need: Excellent knowledge and experience with a backend language like Java, Node.js, Go, C++ BS/MS in Computer Science or an equivalent field with 2+ years of industry work experience Excellent knowledge of Computer Science fundamentals with strong competencies in data structures, algorithms, and coding Strong designing and building distributed backend systems handling high volumes of traffic Experience in handling ambiguous business requirements with excellent prioritization, time management abilities, and a focus on execution Passion to tackle exciting engineering problems and make continuous improvements $ 160000- $180000 a year The salary range for this position is $160,000 - $180,000. 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": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29939447", "isPrivate": false}, {"id": 39273015, "name": "Sr. Data Scientist, Recommendations", "posting_name": "Sr. Data Scientist, Recommendations", "location": "Los Angeles, California", "locations": ["Los Angeles, California", "Palo Alto, California"], "hot": 0, "department": "Tinder", "business_unit": "Product Analytics", "t_update": 1773378123, "t_create": 1765500620, "ats_job_id": "7503df39-49ec-4cda-90d5-9362d59949d6", "display_job_id": "7503df39-49ec-4cda-90d5-9362d59949d6", "type": "ATS", "id_locale": "3667044212057050102-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 Data Science & Analytics team thrives on data-driven insights to make more informed decisions through our insights into our member's behavior, preferences, and common trends. We take ownership over the integrity of our data and work to improve data literacy across Tinder. Recommendations (Recs) is core to Tinder's experience\u2014covering ranking, retrieval, signals, and model evaluation\u2014to improve match quality, conversations, retention, and revenue through principled ML and experimentation. As a Senior Data Scientist on the Recommendations (Recs) team, you will partner closely with Product, Engineering, and Machine Learning (ML) to identify and size new opportunities, strengthen existing algorithms, and shape measurement and experimentation across a two-sided marketplace. You'll build the tooling and dashboards needed for crisp reads and health monitoring, communicate insights and tradeoffs with executive clarity, and serve as a trusted, respected partner to the Recs pod and a mentor for the broader Data Science team. This role will be given wide latitude but high expectations for the development of analyses, models, and plans that will be shared directly with the executive team and help shape the trajectory of our product roadmap. Where you'll work: This is a hybrid role and requires in-office collaboration three times per week in Los Angeles, Palo Alto or San Francisco. In this role, you will: Work closely with Product, Engineering, and ML to identify and evaluate new opportunities; frame hypotheses, define success metrics and guardrails, and translate findings into clear product recommendations. Support the ML team in improving algorithms across retrieval, ranking, and personalization; strengthen offline/online evaluation and alignment. Define and lead experimentation design and analysis tailored to a two\u2011sided marketplace; drive meta-analyses and playbooks that uplevel reads and decision quality. Build tools and dashboards to improve experiment reads and KPI monitoring; standardize templates and health checks for fast, reliable iteration. Deliver executive-ready presentations and docs that clarify options, tradeoffs, risks, and expected business impact. Be a trusted and respected partner for the Recs pod, focused on delivering the best recommendations for our worldwide member base. Mentor and inspire other data scientists; review analyses and elevate experimentation, causal inference, and model evaluation practices across the team. You'll Need: Bachelor's, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or related fields). 5+ years of professional experience in data science/analytics, with meaningful time in recommender systems, ranking, search, or personalization at consumer scale (or equivalent impact/complexity). Fluency in SQL and Python (required). Deep understanding of statistics and causal inference; hands-on experience designing and analyzing online experiments (A/B, variance reduction, sequential testing) and applying quasi-experimental methods when appropriate. Strong product sense and analytical rigor; ability to frame the right questions, choose fit-for-purpose methods, and land actionable recommendations with cross-functional partners. Familiarity with machine learning for recommendations, including offline/online metric design and model evaluation for ranking/personalization use cases. $ 160000- $190000 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. Tinder 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/39273015", "isPrivate": false}, {"id": 40008529, "name": "Staff Product Manager, Chemistry", "posting_name": "Staff Product Manager, Chemistry", "location": "San Francisco, California", "locations": ["San Francisco, California", "Palo Alto, California", "Los Angeles, California"], "hot": 0, "department": "Tinder", "business_unit": "Product Management", "t_update": 1773378123, "t_create": 1770225394, "ats_job_id": "2c04c0a7-6fd4-412a-95f0-a65a3422c1b6", "display_job_id": "2c04c0a7-6fd4-412a-95f0-a65a3422c1b6", "type": "ATS", "id_locale": "5696633664380854996-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. Chemistry is Tinder's AI matchmaking feature. We leverage a user's activity on Tinder, answers to questions, and insights from scanning their Camera Roll to suggest their most compatible matches. Our goal is to get people good dates using state-of-the-art recommendation systems and LLMs. As the Product Team Lead (PTL) for Chemistry, you will own the strategy, roadmap, and execution of one of Tinder's most important AI-driven surfaces and help define the future of dating online. You will work at the intersection of product, design, ML, trust & safety, and growth to deliver meaningful improvements to match quality and real-world outcomes. You will: Own the end-to-end product strategy and roadmap for Chemistry, from ideation to launch to iteration Translate product vision into clear narratives, wireframes, and prototypes to gather feedback and drive alignment Partner closely with design to deliver production-ready mocks and assets Collaborate with ML and engineering teams to ship AI-powered features at scale Work with user research to deeply understand target demographics, user needs, and pain points Synthesize qualitative insights and product analytics to make data-informed decisions Partner cross-functionally with revenue, trust & safety, legal, marketing, and research teams to balance competing priorities Ideate and support marketing campaigns Ensure responsible use of AI, with strong attention to user trust, privacy, and consent You have: An excellent product sense that lets you solve user problems effectively. At least 5+ years of product management experience, with a preference for those working in consumer social. Experience shipping mobile products from inception to launch - if you're a founder or early employee who has gone from 0 to 1 that's a big plus. A strong command of data and analytics. An interest and understanding of broader cultural trends, including AI usage Curiosity and empathy for our youngest users who may be just getting started on their dating journeys. A demonstrated ability to execute cross-functionally. Excellent communication skills not reliant on LLMs $ 235000- $240000 a year The salary range for this position is $235,000 - $240,000. 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, 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. 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