Search results for "Child Protection"

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As the Director of MENA Public Policy you will develop and implement an engagement strategy with key policymakers, stakeholders, and opinion leaders across MENA. The successful candidate will oversee critical issues including, but not limited to, gaming, child safety, artificial intelligence, privacy, and consumer protection. The ideal candidate is a strategic thinker, driven to develop and execute creative strategies that advance Roblox’s business and priorities within the region. This position is based in Dubai and reports directly to the Head of Public Policy, Europe and MENA. The Director of MENA Public Policy will play a critical part in shaping Roblox's future in the country by establishing and executing effective public policy strategies. This role is instrumental in ensuring compliance, addressing policy issues, and fostering strong relationships with external partners, ultimately contributing to a safer and more engaging environment for Roblox's global community of developers and creators.   You Will * Maintain and build relationships with regional policymakers and political figures * Identify, monitor, and analyze policy issues affecting Roblox in MENA * Develop and execute policy strategies around issues important to Roblox * Assist the wider public policy team on ongoing projects and initiatives * Advise Roblox internal stakeholders on policy matters as inputs to the development of our products and business operations * Articulate Roblox’s public policy positions and produce briefing papers and consultation responses * Empowered to fully pursue both your personal life and career goals, with support to take on increasing responsibilities and calculated risks for growth   You Have * Bachelor's degree or higher in Political Science, Public Policy, Law, International Relations, Media, Technology, or related field of study or equivalent * 10+ years of experience working with policymakers and stakeholders in MENA * Deep knowledge of the MENA policymaking and public opinion process * Extensive experience in intelligence collection and analysis, strategy development, project management, cross-functional partnership * Strong communication skills, verbal and written   YOU ARE * Passionate about public policy issues in MENA * A solutions-driven and results-oriented strategic thinker * A dynamic and engaging presenter with stellar oral delivery * Detail-oriented, with strong communication, planning and organizational skills * Self-directed, with the ability to define your own work and processes * A team player, who values collaboration and partnership * You are a professional who approaches every individual as a client, regardless of their position, maintaining a calm and professional demeanor Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Central Market Management & AI (CMM&AI) team, a key part of the broader Rideshare Experience & Marketplace organization, is essential for maintaining a balanced and efficient marketplace. We do so by developing foundational models, business datasets, and decision-making applications that support a wide range of teams across Lyft. These critical platforms and tools power our pricing / pay strategy, operational alignment, and regional strategies, enabling us to compete effectively in the Rideshare landscape. Data Scientists in CMM&AI solve the foundational problems that drive Lyft’s marketplace. From forecasting supply and demand to optimizing investments and measuring the ROI of growth levers, our work shapes both automated processes and high-level strategic decisions. Because our challenges are unique to a real-time marketplace, we avoid off-the-shelf solutions in favor of creativity and first-principles mathematical reasoning. We leverage a deep stack of technologies across forecasting, machine learning, inference, and optimization to deliver measurable impact. As a Senior Data Scientist on the Foundational Models team in CMM&AI, you will operate at the intersection of Machine Learning, Data Science, and Economics to build scalable optimization and modeling systems that directly impact Lyft’s top and bottom lines. You will be hands-on with formulating optimization problems, building ML models, productionizing pipelines, and integrating their outputs within decision-making frameworks. You will collaborate with Product, Engineers, Data Scientists, and Analysts to help define the roadmap and architecture for our next generation of foundational marketplace models that accelerate iterations and drive business efficiency. RESPONSIBILITIES: * Optimization & Modeling * Design, formulate, and solve complex mathematical optimization problems that power Lyft’s marketplace decisions across pricing, pay, incentives, and resource allocation. * Build, deploy, and maintain production-grade ML and optimization models; collaborate with Software Engineering to integrate algorithms into live systems and establish robust monitoring for model performance and data health. * Own the full model lifecycle—from problem framing and prototyping through experimental validation and production deployment—refusing a “build and forget” mentality. * Apply first-principles mathematical reasoning to marketplace challenges, choosing the simplest effective solution and building complexity only when incremental value justifies the technical debt. * Technical Strategy & Execution * Drive large-scale technical projects from initial concept to high-impact execution, ensuring alignment with business priorities and Lyft’s overarching goals. * Contribute to and influence the multi-quarter technical roadmap for foundational models, helping shape the vision and architecture for next-generation optimization and forecasting systems. * Champion high standards for code quality through well-tested, maintainable code and the development of shared team components and libraries. * Infuse AI capabilities into existing workflows and demonstrate agility in adopting emerging AI models and techniques to keep Lyft at the forefront of marketplace optimization. * Stakeholder Partnership & Influence * Partner with Data Scientists, Engineers, Product Managers, and Business Partners across lever teams (Pricing, Pay, Driver Engagement, Rider Engagement) to frame problems mathematically and within the business context. * Serve as a subject matter expert on optimization and modeling, providing technical guidance and thought leadership to elevate the team’s capabilities. * Foster a data-driven culture by presenting actionable insights and recommendations to senior leadership and cross-functional stakeholders. * Influence stakeholder roadmaps and advise cross-functional partners on the long-term trade-offs of different algorithmic approaches. EXPERIENCE: * Required: * M.S. in Operations Research, Industrial Engineering, Mathematics, Computer Science, Statistics, Economics, or other quantitative fields. * 4+ years of hands-on experience developing and deploying optimization and/or machine learning models in a production environment. * Advanced proficiency in Python and SQL, with a focus on writing clean, maintainable, and well-tested production code. * End-to-end experience with data, including querying, aggregation, analysis, and visualization. * Passion for solving unstructured and non-standard mathematical problems using first-principles reasoning. * Excellent communication skills and a track record of working closely with Software Engineers, Analysts, and Business Stakeholders to drive decision-making. * Preferred: * Ph.D. in Operations Research, Industrial Engineering, Mathematics, Computer Science, Statistics, Economics, or other quantitative fields. * Experience in pricing optimization, marketplace design, and/or resource allocation in a two-sided marketplace environment. * Proven track record of delivering measurable business value through the full lifecycle of model development, including experimental design and causal inference. * Deep understanding of how various levers (e.g., pricing, incentives, supply positioning) influence marketplace equilibrium and system-wide dynamics. * Experience with productionizing algorithms for real-time or near-real-time decision systems. * Experience influencing technical roadmaps and advising cross-functional partners on the long-term trade-offs of different algorithmic approaches. * Exposure to modern AI/ML frameworks or integration patterns BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Rider team is the heartbeat of Lyft business. Every feature you build translates to a better experience for millions of riders globally. The Rider New Product team is the engine of innovation for Lyft's business. The Rider New Product science team’s mission is to rigorously quantify the value of innovation by applying advanced causal inference to unlock Lyft’s next generation of growth. You will have the autonomy of a startup lead with the data scale of a global tech giant. This is a high-impact, highly technical role within a core business line. The ideal candidate brings strong applied causal inference intuition, hands-on experience with advanced measurement techniques, and the ability to write clean, efficient production code. You will play a critical role in shaping the future of the Lyft rideshare experience by rigorously measuring the true incremental impact of new product features, shaping critical business decisions, and bridging the gap between cutting-edge applied science research and production-scale product impact. RESPONSIBILITIES * Own complex, open-ended incrementality measurement problems. Translate ambiguous product launches into concrete causal frameworks and experimental designs. * Lead high-impact Causal Inference initiatives. Drive innovation by introducing advanced measurement techniques to quantify the incremental impact of new rider features. * Partner deeply with Product, Engineering, and Finance. Define the technical vision for how Lyft evaluates innovation, ensuring that we move beyond simple correlations to understand the long-term drivers of rider behavior and value. * Design and build production-grade measurement systems. Develop and deploy robust causal models pipelines that balance high scientific rigor with the practical constraints. * Establish robust evaluation frameworks. Ensure that the "engine of innovation" is steering the business toward sustainable, incremental growth. * Build reusable science infrastructure. Create internal libraries and best practices for causal discovery and automated measurement. * Mentor and guide junior/mid-level scientists. Serve as a technical advisor on experimental design, statistical modeling, and fostering a culture of scientific excellence. EXPERIENCE: * Advanced Quantitative Background: Master’s or PhD in Economics, Statistics, Applied Math, Computer Science or equivalent high-impact industry experience. * 3+ Years of Applied Experience: Proven track record in applied science or data science, with a focus on deploying causal models that drive measurable business outcomes. * Deep product intuition and hands-on experience with causal methods * Strong proficiency in Python and SQL. * Experienced in defining and executing sophisticated evaluation strategies, including advanced experiment design and counterfactual analysis to isolate incrementality. * Proven ability to align cross-functional partners, influence technical architecture, and challenge scientific assumptions to guide high-level product strategy. * Excellent ability to articulate complex causal concepts, trade-offs between rigor and speed, and scientific findings to both technical peers and executive stakeholders. * Preferred Qualifications * Demonstrated ability to own high-stakes, open-ended problem spaces, translating vague business questions into rigorous scientific roadmaps. * Experience in mentoring other scientists, elevating the bar for technical quality, and establishing best practices for modeling and scientific reasoning. BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Rider team is the heartbeat of Lyft business. Every feature you build translates to a better experience for millions of riders globally. The Rider New Product team is the engine of innovation for Lyft's business. The Rider New Product science team’s mission is to rigorously quantify the value of innovation by applying advanced causal inference to unlock Lyft’s next generation of growth. You will have the autonomy of a startup lead with the data scale of a global tech giant. This is a high-impact, highly technical role within a core business line. The ideal candidate brings strong applied causal inference intuition, hands-on experience with advanced measurement techniques, and the ability to write clean, efficient production code. You will play a critical role in shaping the future of the Lyft rideshare experience by rigorously measuring the true incremental impact of new product features, shaping critical business decisions, and bridging the gap between cutting-edge applied science research and production-scale product impact. RESPONSIBILITIES * Own complex, open-ended incrementality measurement problems. Translate ambiguous product launches into concrete causal frameworks and experimental designs. * Lead high-impact Causal Inference initiatives. Drive innovation by introducing advanced measurement techniques to quantify the incremental impact of new rider features. * Partner deeply with Product, Engineering, and Finance. Define the technical vision for how Lyft evaluates innovation, ensuring that we move beyond simple correlations to understand the long-term drivers of rider behavior and value. * Design and build production-grade measurement systems. Develop and deploy robust causal models pipelines that balance high scientific rigor with the practical constraints. * Establish robust evaluation frameworks. Ensure that the "engine of innovation" is steering the business toward sustainable, incremental growth. * Build reusable science infrastructure. Create internal libraries and best practices for causal discovery and automated measurement. * Mentor and guide junior/mid-level scientists. Serve as a technical advisor on experimental design, statistical modeling, and fostering a culture of scientific excellence. EXPERIENCE: * Advanced Quantitative Background: Master’s or PhD in Economics, Statistics, Applied Math, Computer Science or equivalent high-impact industry experience. * 3+ Years of Applied Experience: Proven track record in applied science or data science, with a focus on deploying causal models that drive measurable business outcomes. * Deep product intuition and hands-on experience with causal methods * Strong proficiency in Python and SQL. * Experienced in defining and executing sophisticated evaluation strategies, including advanced experiment design and counterfactual analysis to isolate incrementality. * Proven ability to align cross-functional partners, influence technical architecture, and challenge scientific assumptions to guide high-level product strategy. * Excellent ability to articulate complex causal concepts, trade-offs between rigor and speed, and scientific findings to both technical peers and executive stakeholders. * Preferred Qualifications * Demonstrated ability to own high-stakes, open-ended problem spaces, translating vague business questions into rigorous scientific roadmaps. * Experience in mentoring other scientists, elevating the bar for technical quality, and establishing best practices for modeling and scientific reasoning. BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Ads is one of Lyft’s newest and fastest-growing businesses, focused on building the world’s largest transportation media network. Our mission is to help brands reach riders during key moments of their journey—before, during, and after a ride—by delivering meaningful, contextually relevant ad experiences. We operate at the intersection of mobility data, real-time decision systems, and AI-powered personalization, enabling advertisers to run high-impact campaigns with measurable outcomes. The Pricing team is a centerpiece of Lyft’s marketplace. The team owns the models and software systems that determine the final prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. Planned Pricing is a fast-growing team within Pricing, focused on setting the most efficient price targets to drive both short term and long term business outcomes. As a Data Scientist specializing in Algorithms on the Planned Pricing team, you will develop mathematical models for core pricing systems and address diverse problems across optimization, prediction, machine learning, and inference. You will collaborate with cross-functional teammates and stakeholders to enhance algorithms, build and scale our systems, and drive business growth. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions and decisioning frameworks. In this role, you will report to a Data Science Manager. RESPONSIBILITIES: * Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context * Prioritize and lead deep dives into our data to uncover new product and business opportunities * Be familiar with production code; collaborate with Software Engineers to implement algorithms and models in production * Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization * Establish metrics that measure the health of our products, as well as rider and driver experience * Drive collaboration and coordination with cross-functional teams * Provide coaching and technical guidance for other teammates EXPERIENCE: * Ph.D. in Operations Research, or other quantitative fields or related work experience * Proven experience with building and evaluating optimization models * Proficiency with Python and working in a production coding environment * Passion for solving unstructured and non-standard mathematical problems * End-to-end experience with data, including querying, aggregation, analysis, and visualization * Strong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $128,000 - $160,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Discord

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are seeking an experienced Safety Policy Lead to own Discord's youth safety policy portfolio. As a member of the Safety Policy team within Product Policy, you will drive policy development and lifecycle management across the full spectrum of youth safety harms: child sexual abuse material, grooming, and child exploitation. This role requires deep domain expertise, strong regulatory literacy, and the ability to translate complex child safety requirements into enforceable policy and durable implementation. This is a lifecycle ownership role, not a drafting role. You will be accountable for policy quality from problem identification through enforcement quality, with visibility into implementation, QA, and the feedback loops that determine whether policy intent survives contact with enforcement. Please note: This role involves regular exposure to potentially disturbing content, including child sexual abuse material, exploitation imagery, and grooming-related content. Wellness support is provided. What you'll be doing * Research and develop safety policies governing youth safety harms on Discord, including CSAM, grooming and solicitation, child exploitation, and age assurance, covering both reactive harm response and proactive age-appropriate design. * Own the full policy lifecycle for your domain: problem scoping, data justification, structured XFN consultation, testing against enforcement criteria, and post-launch feedback loop management. * Partner with Legal early in the development process. Embed compliance requirements for KOSA, COPPA, DSA Article 28, and the Online Safety Act into policy design before drafting begins. * Co-develop enforcement infrastructure with Trust and Safety, Engineering, and ML teams, including golden datasets, classification hierarchies, ML signal specifications, and IKB anchor criteria. * Own the feedback loop from implementation and QA back to your policy work. When QA findings or overturn data indicate a policy gap, you drive the revision. * Collaborate with civil society, NCMEC, ICAC, and other external child safety organizations. Represent Discord externally in this domain with credibility and consistency. * Deliver rapid policy responses to emerging child safety threats, including cross-functional coordination during incidents and regulatory notifications where applicable. * Own at least one functional domain area for the Safety Policy team beyond your harm portfolio. Current team needs include policy implementation systems, AI/LLM governance, or safety-by-design frameworks. * Expected travel: 15% What you should have * 5+ years of experience developing policy (not solely enforcing or operationalizing it) in trust and safety, child safety, or a related domain at a technology platform or civil society organization focused on child protection. * Deep expertise in youth safety: CSAM, NCMEC/ICAC frameworks, CSAM hash-matching systems, grooming and solicitation patterns, age assurance methodologies, and the regulatory landscape governing minors online. * Direct experience with KOSA, COPPA, DSA child safety provisions, and/or the Online Safety Act. Regulatory literacy is required, not a bonus. * Proven ability to write policy that survives implementation: clear enforcement criteria, defined classification hierarchies, and usable edge case guidance. * Experience working with ML and automation teams to translate policy criteria into detection signals. You do not need to write the model, but you need to know what the model needs from you. * Comfort making decisions under ambiguity and pressure. * Strong written and verbal communication for audiences ranging from frontline moderators to regulators to executive leadership. * Bachelor's degree or equivalent professional experience. Bonus points * Advanced degree in law, public policy, child development, psychology, or a related field. * Experience with Discord's platform or gaming and creator communities. * Multilingual capabilities, particularly in languages relevant to Discord's global user base Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. The US base salary range for this full-time position is $192,000 to $216,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord?  Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

Mongodb

Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to. This role is based in Toronto, ON hybrid. SUCCESSFUL CANDIDATES WILL HAVE THE FOLLOWING QUALITIES: * 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase * Experience developing distributed systems and cloud services * Experience with at least one modern statically typed programming language, and interest in working with Java * Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues * A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback * A strong sense of ownership over their work, from initial design all the way through maintaining code in production YOU WILL: * Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads * Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers * Have the opportunity to lead projects and own subsystems * Provide input on the team’s roadmap and help determine the architecture of our system SUCCESS MEASURES: * In 3 months you’ll have a solid high-level understanding of what our team does and how we operate. You’ll have contributed to the development of an existing project and completed several small improvements or bug fixes * In 6 months you’ll be reviewing code and project designs, and be an active participant in team meetings * In 12 months you’ll have a thorough understanding of the systems our team owns and have led a small project. You’ll have proposed small improvements to our code, product, or team processes ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 426157 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $108,000—$149,000 CAD

Mongodb

Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection. We have a presence across the US and Europe including New York, Dublin, Seattle, Palo Alto, and Chicago. We support office-based and remote work and align projects with convenient work hours for each time zone. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database. CANDIDATE PROFILE * 10+ years of experience in data management systems * Experience with building production-level code with a large user base, robust design structure and rigorous code quality * Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture * Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system * Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain POSITION EXPECTATIONS * Innovate in the area of flexible schema databases. Help us build a world-class query optimization system * Research state-of-the art query systems to inform our design * Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction  * Set initiative level strategy, architect plans, and lead the team towards successful execution * Advise management on decisions related to roadmap, processes, architecture and design * Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics, and integration with other products and tools * Work with other engineers to coordinate seamless changes in a feature-rich, large code base * Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects * Influence and grow team members through active mentoring, coaching and leading by example SUCCESS MEASURES * In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system * In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems * In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team This role can be based out of our US or Canadian offices or remotely in the North America region. ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 1273358734 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $159,000—$221,000 CAD

Mongodb

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges. We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI. The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle. This role will be based in North America's West Coast (PST), and offers a hybrid working model. THE IDEAL CANDIDATE FOR THIS ROLE WILL HAVE * 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure * Deep experience in building data warehouses and core components for data processing systems * Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do * Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation * 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results * Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions * Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity * Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset KEY RESPONSIBILITIES * Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement * Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI * Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages * Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow * Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem * Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset SUCCESS MEASURES Within the first three months, you will have: * Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments * Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions * Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages * Developed a comprehensive grasp of all AMP pillars and their roadmap Within six months, you will have: * Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team * Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap * Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages * Served as a role model and strategic leader for the AMP org * Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members Within 12 months, you will have: * Become recognized as the strategic engineering leader both within and outside of the AMP organization * Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future * Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams * Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations * Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req. ID: 1273362664 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $209,000—$290,000 CAD

Peloton

ABOUT THE ROLE Peloton is looking for a Mid-level Copywriter with strong copy and conceptual thinking to execute creative work across our marketing channels. From full 360 campaigns to CRM, promo, and performance – we need someone who sees creative opportunity in everything.  In this role, you’ll help shape how Peloton shows up across channels, creating messaging and copy that elevates both the brand and our products. You’ll think strategically about how ideas live and evolve across social, email, web, and beyond – while still sweating the details that make great work great. This is a perfect opportunity for a confident, creative Copywriter with 2-3 years of experience crafting ads in an agency or brand environment. Your craft should be copywriting, but you also have experience partnering with cross-disciplinary teams, and ideally with an art director/designer. You bring a strong point of view to push the work to be smarter, more creative, and more effective.  In this role, you’ll report directly to ACD and Creative Directors and will play a role in ensuring Peloton delivers challenging, well-crafted creative that moves our community.    YOUR DAILY IMPACT AT PELOTON * Writing persuasive, creative copy from the smallest CTA to the most inspiring headline * Work directly with brand, acquisition and retention teams to understand the brief and communicate our offerings to the Peloton community  * Understand and promote contemporary brand design and copy cohesion, leveraging style, function, and motion * Can help shepherd creative from concept stages through to production working with producers and project managers to deliver the final product * Present creative to CDs in a clear, compelling manner YOU BRING TO PELOTON * 2-3+ years of experience as a Copywriter * Proven examples of effective campaign work that shows off creative capabilities. Funny, sad, inspiring, whatever it is, let’s see something AI couldn’t write * Has experience presenting ideas and enjoys doing it * Organized * Great communication skills * Self-motivated and doesn't wait to be told what to do * Doesn't take themselves too seriously (we are a casual bunch) * Comfortable bringing your point of view into a discussion * Likes long bulleted lists #LI-KM1 #LI-Hybrid The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits. As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: * Medical, dental and vision insurance  * Generous paid time off policy * Short-term and long-term disability * Access to mental health services * 401k, tuition reimbursement and student loan paydown plans * Employee Stock Purchase Plan * Fertility and adoption support and up to 18 weeks of paid parental leave  * Child care and family care discounts * Free access to Peloton Digital App and apparel and product discounts * Commuter benefits and Citi Bike Discount * Pet insurance and so much more! Base Salary Range $106,300—$125,750 USD   ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.  Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address.  If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox’s Safety Operations team is dedicated to protecting our users from individuals who want to harm others. The Critical Harms Intelligence, Investigations, and Operations (CHIIOPS) team applies subject matter expertise to our highest-level risks, and works with cross-functional partners to identify and mitigate these actors. As part of our commitment to safety, we are looking for a specialist with an investigator’s mindset, skills, and curiosity to investigate and respond to some of our highest-risk escalations. You will work with teams and leaders across the company to quickly and professionally respond to urgent requests for support, and balance competing priorities to get the job done. You will share findings with intel analysts to support behavioral analysis development to help identify risks across the platform. You will report to the Critical Harms, Intelligence, Investigations, and Operations Manager. Please Note: This role may review graphic, controversial, and sometimes offensive content in line with Roblox’s content moderation practices.  You Will: Incident Investigation and Triage * Support, then lead, rapid investigations into critical and complex incidents, including but not limited to threats against child safety, violent extremism, and other high-severity harms. * Utilize internal tools, data analysis, and open-source intelligence (OSINT) techniques to gather evidence, establish facts, and determine the root cause of incidents. * Act as the primary point of contact for relevant parties across the company, to include company leadership.  * Ensure all investigations are documented thoroughly, accurately, and completed in a timely manner. Emergency Response and Coordination * Operate within a 24/7 on-call rotation to respond immediately to high-risk and/or time-sensitive incidents that pose significant risk to users, the platform, or the company. * Lead incident response by coordinating cross-functional stakeholders to ensure a unified and effective investigation and response.  * Draft and deliver real-time, high-stakes communications to leadership regarding incident status, impact assessment, and mitigation efforts. * Develop, test, and maintain robust incident response playbooks and protocols for various critical harms scenarios.  * Support detailed post-mortem reviews (Root Cause Analysis) of investigations to identify areas for improvement in process, policy, or technology. You Have: * A Bachelor's Degree is required, or, in lieu of a degree, a minimum of 1 year of relevant experience in investigations, incident management, and/or policy enforcement on a social platform. * Experience managing high-pressure, sensitive, and complex investigations with moderate to high levels of supervision. * Excellent written and verbal communication skills, with the ability to articulate complex technical and sensitive issues clearly to executive audiences and non-technical partners. * Demonstrated ability to use data analysis, internal dashboards, and investigation tools to support fact-finding.  * Familiarity with online safety issues to include exposure to high-severity risk content is preferred.  * Strong project management skills, strong prioritization acumen, and the ability to build processes from the ground up. * Bachelor’s degree or equivalent experience. Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Mongodb

The Security Product Management team is vital in safeguarding customer trust and making data security a market differentiator that enables MongoDB to succeed in enterprise and regulated industries. Our team's scope is broad and critical, covering a range of features, including Networking, IAM, Data Governance, Encryption, Compliance, and Auditing. This role can be based out of our Toronto office, or remotely in Canada.  RESPONSIBILITIES * In this role, you will be a key member of security product management responsible for Account Protection and safeguarding customer trust at MongoDB * Develop a robust vision for best-in-class security and identity threat management, from identification to remediation * Build a vision for best-in class security features that identify, mitigate, and proactively prevent unauthorized attempts to access data * Partner with engineering to develop a prioritized product roadmap and backlog to execute against that vision * Deeply understand all aspects of the business - to ensure a business outcome aligned with our broader product, customer, and company goals * Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry * Partner with engineering, legal, research, product marketing, support, sales, and security teams to deepen customer trust as they use MongoDB for their most critical data workloads * Define and implement key performance indicators (KPIs) and success metrics for security initiatives, ensuring alignment with business objectives and product goals REQUIREMENTS * 5+ years of product management or equivalent experience in enterprise security or platforms * Experience working with security focused engineers in a diverse team * Domain expertise in threat detection, data security, or a related field * Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success. * Excellent written and verbal communication skills, including experience presenting to executive leadership * Proven ability to define and deliver successful product strategies and roadmaps * Demonstrated experience in defining technical product requirements into an actionable product roadmap * Understanding of various public cloud providers such as AWS, Azure, and GCP * Comfortable with stage presence and public speaking * B.Sc. in Computer Science, or equivalent experience NICE TO HAVE * Certifications or similar evidence of professional milestone completion and continuous training (such as: CISSP, CompTia Security+, SANS, etc.) * Community support and participation to advance data and cloud security such as conference or meetup panels and blog or paper authorship * MBA, M.Sc.+ or equivalent in relevant domain ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!   MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.   MongoDB is an equal opportunities employer.   Req ID: 4263333204 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $130,000—$180,000 CAD AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $130,000—$180,000 CAD

Mongodb

The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of MongoDB. Join our team and be at the forefront of innovation and creativity. We are looking for a Staff Engineer with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components that ensure the scalability, efficiency, and reliability of our services. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation, build and test. This role will be based out of North America. A STRONG CANDIDATE FOR THIS POSITION WILL HAVE: * Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments * Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL * Experience with tools and methodologies for code analysis, refactoring, and automated testing * Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance * Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear understanding of appropriate use cases for GenAI * Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions * Experience in leading the design and development of complex workflow for AI model integration and output processing. * Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity * Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset POSITION EXPECTATIONS * Strategic Partnership: Partner with product managers, AI researchers and other engineers to translate complex requirements into robust technical solutions. Guiding the team through technical challenges related to autonomous code transformation * Architectural Leadership: Drive the architectural vision and technical strategy for code gen tools. Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow * Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Act as a hands-on leader, contribute core, foundational code that solves the hardest problems and sets the standard for the rest of the team * Product Excellence: Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP SUCCESS MEASURES WITHIN THE FIRST THREE MONTHS, YOU WILL HAVE: * Fully ramped up on our architecture, business domain, and AMP customers' pain points in modernizing legacy applications * Established yourself as the technical leader within the team, actively driving technical decisions * Begun collaborating with product counterparts and the code gen team to drive execution strategies on committed deliverables WITHIN SIX MONTHS, YOU WILL HAVE: * Successfully led the team to deliver a prototype or initial release of a major feature for code transformation * Contributed to and helped define and scope roadmaps for code gen deliverables * Established a precise rhythm of execution, and served as a key stakeholder of the code gen team for guiding and reviewing technical designs WITHIN 12 MONTHS, YOU WILL HAVE: * Become recognized as the go-to technical expert for code gen domain * Delivered a stable, production-ready code transformation workflow that significantly reduces frictions of the application modernization workload for our Field Engineering and Delivery teams * Played a crucial role in helping recruit, interview and mentor new team members ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 425546 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $159,000—$221,000 CAD

Mongodb

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. THE IDEAL CANDIDATE SHOULD * Have 6+ years of experience in software development and operating distributed systems * Proficiency in Python, Go, or a similar language * Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines * Possess a customer-focused mindset * Value efficiency in processes and operations * Prefer automation over manual process (“allergic to ops work”). We are a small team of software engineers with a strong bias towards software solutions to avoid toil * Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market * Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure * Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) EXPECTATIONS * Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products * This includes, but is not limited to, contributing to open-source projects, or engineering software-based approaches like Kubernetes operators to streamline processes * Own the onboarding flow other engineering teams follow when launching a new product or service * Collaborate with other teams within Platform Engineering to ensure a consistent service-onboarding experience * Provide internal support for our deployment systems, including answering questions and addressing issues * Participate in a 24/7 on-call rotation to resolve issues involving the deployment infrastructure ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 426184 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $144,000—$200,000 CAD

Mongodb

The Technical Services team works with our customers to ensure that their MongoDB deployments are running at their best. From a query performance question on a test Atlas cluster to helping upgrade large self-hosted sharded clusters run by some of the world's best-known global enterprises, the Technical Services team is available 24/7 to help our customers with any aspect of the MongoDB data platform. This deeply technical team is distributed globally, with a variety of backgrounds and expertise to ensure that they can best address any new issue or question. In  addition to solving these complex customer challenges, the team also works on internal projects such as software development of support tools for performance tuning, benchmarking, and diagnostics. As MongoDB continues to expand product offerings and features within the MongoDB Atlas Data Platform, MongoDB is looking for a Senior Technical Services Engineer with a background in application search, as well as search-related technologies, who will also provide specialized support for our Atlas Search and Vector Search products We are looking to speak to candidates who are based in Montreal for our hybrid working model. As a Senior Technical Services Engineer, you’ll be advising customers on strategies and documented practices for making best use of our data platform. This will require you to translate technical concepts and patterns into generalist terms for our customers, helping them understand, install, and use those applications effectively. You’ll also troubleshoot application problems and be an advocate for our users’ needs, collaborating with the MongoDB product management and development teams on their behalf.  As a technical expert across the MongoDB platform, you will advise MongoDB field teams on complex technical issues, including Atlas Search and Vector Search, and help drive technical enablement across MongoDB technologies. You will utilize your exceptional analytical skills and customer service to ensure that MongoDB users are successful with our suite of MongoDB application-layer products. We’re looking for individuals who want to dig into the details of how “big data” and “web-scale” systems are successfully assembled and operated every day by organizations of every size and flavor. AS AN IDEAL CANDIDATE, YOU WILL HAVE We consider all candidates with an eye for those who are self taught, curious, and multi-faceted. Our ideal associate candidate should also have: * 5+ years of relevant experience * 5+ years of experience with administering RDBMSs such as Oracle, Postgres, mySQL etc. MongoDB experience is preferred. * Experience with Database Performance tuning and benchmarking * Strong diagnostic/troubleshooting aptitude, with significant experience troubleshooting end-to-end technical issues in production environments * Solid fundamentals in Linux, Networking, and Diagnostics * Experience with scalable and highly available distributed systems * Excellent written and verbal communication skills in English * Patience, empathy and a genuine desire to help people * Ability to think on your feet, remain calm under pressure, and solve problems in real-time * A B.Tech / B.S. or equivalent work experience; if you don’t have a Computer Science degree, but think you can do the job, apply anyway! YOU MAY ALSO HAVE * Experience with Algolia, Lucidworks, Pinecone, Milvus, or similar * Experience with database programming and data models * Advanced experience with Operating System and Networking Core concepts * Certifications - MongoDB, RHCE, Cloud Provider Certifications * Previous SaaS Support Experience * Experience creating Generative AI applications, familiarity with LLMs, Vector Stores, and the latest GenAI paradigms WHAT YOU DO AT MONGODB * Support and guide our strategic customers, focus on day-to-day resolution and proactively drive progress * Work closely with your team and our customers to identify, characterize, solve & recover from problems raised to the Technical Support team * Resolve technical issues through diligent research, reproduction, and troubleshooting, log and server analysis using industry standard as well as bespoke in house developed tools * Build and create standard methodologies for technical troubleshooting across different technologies, and craft Knowledge Articles that contribute to our self-serve support portal * Review and test new features before they are publicly available, including creating internal and customer facing assets, such as knowledge base articles or FAQs * Proactively identify improvement to business processes and policies to solve problems and get things done * Be an advocate for customers’ needs. * Gather feedback from customers and engage the engineering, product, sales and marketing teams to improve our product through regular touchpoints and data driven reporting from the field * Act as focal point and technical subject-matter-expert for assigned customers and their application deployments in Atlas * Coach and mentor junior engineers on the team in new or emerging product areas, as well as cross-training peers in specialty topics WHAT YOU WILL LEARN The rapidly growing MongoDB product suite, including: * Core database server * Atlas (fully managed cloud database service) * Atlas Full-Text Search, Atlas Vector Search, Atlas Data Lake, Realm and Charts * Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark * Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes * Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, DevOps, cloud, security ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer.   Req ID: 2273452548 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $129,000—$178,000 CAD

Peloton

ABOUT THE ROLE The Associate Production Director serves as the primary technical lead and Director for our studio productions. This is a high-ownership leadership role designed for a broadcast professional who expertly manages and guides the control room environment. Beyond technical execution, you will be responsible for the creative integrity and visual/audio presentation of the livestream, the professional development of the crew, and the seamless integration of technology and talent. In this role, your focus will shift from day-to-day equipment operation to the total orchestration of the production environment, ensuring a world-class experience for both our talent and our global members. YOUR DAILY IMPACT AT PELOTON * Partner with Producing and Creative Services teams to translate creative visions into reality. You will make real-time editorial decisions during live broadcasts, utilizing innovation, imagination, and originality to enhance storytelling and engagement. The Associate Production Director is the final creative decision-maker regarding the look and sound of live and on-demand workout classes * Guide the execution of live and coach-to-camera, on-demand workout classes, acting as the primary Creative and Technical Director to ensure high-production value through precise camera blocking, lighting transitions, and audio fidelity * Lead and support a team of 1–2 Production Technicians during live broadcasts, providing clear, real-time cues and ensuring all positions (Audio, Camera, Vision) meet production standards * Maintain accountability for the final artistic aesthetic and technical quality of the broadcast, proactively identifying and adjusting deviations from brand style guides * Serve as the designated Control Room Lead, managing daily production workflows and coordinating tasks among the production crew to ensure operational success * Collaborate with Senior Leadership to design and implement training programs for Production Technicians, providing constructive feedback and mentorship to elevate the team’s collective technical proficiency and knowledge * Maintain and update all SOPs, including style guides and technical workflows * Lead the technical planning and execution for critical internal and/or external projects * Partner with Senior Management, Supervisors, and Engineering to identify workflow inefficiencies; propose and test new hardware/software solutions * Act as the primary escalation point during technical failures, making decisive, independent choices under time-sensitive constraints to maintain product integrity YOU BRING TO PELOTON * 4+ years of experience directing or technical directing in a live control room/ broadcast environment (e.g., TV, News, Sports, or Live Streaming) * Advanced knowledge of Ross Carbonite switchers, Yamaha QL/CL series audio consoles, and advanced signal flow (SDI, NDI, and Dante) or similar equipments  * Demonstrated ability to guide and support a technical crew calmly and effectively during live, fast-paced broadcasts; experience supervising small teams or direct reports is preferred * A systems-oriented mindset with the ability to troubleshoot complex signal paths and IP-based broadcast workflows independently * Ability to work a variable production schedule, which includes a rotation of early mornings, late nights, weekends, and holidays based on the broadcast calendar. (Schedules are posted in advance to ensure team balance) #LI-SS1 #LI-Onsite The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits. As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: * Medical, dental and vision insurance  * Generous paid time off policy * Short-term and long-term disability * Access to mental health services * 401k, tuition reimbursement and student loan paydown plans * Employee Stock Purchase Plan * Fertility and adoption support and up to 18 weeks of paid parental leave  * Child care and family care discounts * Free access to Peloton Digital App and apparel and product discounts * Commuter benefits and Citi Bike Discount * Pet insurance and so much more! Base Salary Range $84,250—$99,650 USD   ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.  Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address.  If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.