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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Incentives Data Science team sits at the intersection of Product, Marketing, Finance and Machine Learning. Our mission is to enable sustainable, data-driven growth by building modeling, measurement, and optimization systems that drive activation, retention, and revenue at scale. We partner closely with cross-functional teams across Robinhood to design, evaluate, and operationalize incentive programs that efficiently acquire, activate, and retain customers. As a Staff Data Scientist, Incentives , you will lead the end-to-end design, optimization, and evolution of Robinhood’s incentive systems. You’ll build predictive and causal ML models, design experimentation frameworks, and develop decisioning and allocation algorithms that directly influence how millions of users engage with Robinhood. This is a rare opportunity to own highly impactful ML systems while shaping incentive strategy at company scale! This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week . At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Build, deploy, and iterate on predictive and causal models for incentive targeting Design and evaluate experiments to measure incremental impact, payback, and ROI of promotional programs Partner cross-functionally with Product, Finance, Marketing, and Engineering to inform scalable incentive strategies Design and optimize incentive allocation algorithms under budget and policy constraints to maximize incremental impact Monitor production systems, analyze user behavior, and propose algorithmic and policy improvements Influence the long-term vision for growth modeling at Robinhood, including personalization and cross-sell optimization What you bring 7+ years of experience applying ML in production, ideally in growth, incentives, marketplace, or personalization domains Proven track record owning models end-to-end — from design and development to deployment and iteration Deep expertise in predictive modeling, uplift modeling, causal inference, and experimentation design Strong technical skills in Python, SQL, and ML frameworks (e.g., scikit-learn, XGBoost, PyTorch or TensorFlow) Experience working with Airflow and production pipelines, as well as tools for causal ML and experimentation Excellent product intuition and ability to translate ambiguous goals into measurable algorithmic solutions Strong communication and stakeholder management skills, with the ability to influence across teams A collaborative and growth-minded approach, with strong technical leadership and a consistent focus on impact and ROI What we offer Challenging, high-impact work to grow your career Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet – a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $202,000 — $238,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $178,000 — $209,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $158,000 — $186,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Experimentation Platform team at Robinhood builds the systems and infrastructure that power our company-wide experimentation efforts. Our mission is to enable rapid, trustworthy, and statistically sound experimentation at scale, empowering teams to learn quickly and make confident decisions. The team’s work has a direct impact on product velocity and business outcomes, driving a culture of data-informed innovation across Robinhood. As a Data Scientist on the Experimentation Platform team, you will play a key role in shaping the statistical foundations of our experimentation systems. You'll collaborate closely with engineering, product, and data teams to advance best practices in A/B testing, improve experiment velocity, and build capabilities that help Robinhood scale experimentation effectively. This is a high-impact role with the opportunity to define how we learn and iterate across our products. This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Evaluate current experimentation practices across Robinhood and identify areas for improvement. Enhance statistical methodologies underpinning the experimentation platform, including A/B testing and advanced techniques. Partner with engineering to build scalable tools and infrastructure for experimentation. Develop and evangelize best practices for experimentation across cross-functional teams. Consult with data science and product teams to ensure rigorous experimental design and interpretation. Contribute to roadmap planning by identifying high-leverage opportunities for platform development. What you bring Master’s or PhD in a quantitative field (e.g., statistics, economics, mathematics, engineering, natural sciences). 3+ years of experience with A/B testing, causal inference, experimental design, and statistical analysis in a tech environment. Deep expertise in statistical methods such as multivariate testing, adaptive experimentation, bayesian inference and machine learning techniques. Proficiency in Python or R for data analysis and experimentation workflows. Strong communication skills, a collaborative mindset, and a proactive approach to problem-solving. Experience contributing to or building experimentation tooling is a plus. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000 — $220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 — $194,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 — $172,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat malicious behavior in real time, supporting a safe and trusted experience for all users. Our work has direct impact on customer security, company risk posture, and regulatory compliance. As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions that proactively surface suspicious activity, reduce financial loss, and improve fraud detection precision. You’ll collaborate closely with engineering, product, risk, and compliance partners to influence system architecture, shape policy through data, and enhance the safety and integrity of our platform. This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week . At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Design and deploy fraud detection models to protect Robinhood users and assets in real time Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability Partner with engineering and product teams to implement safeguards and user-facing features Guide experimentation strategy and contribute to long-term fraud prevention roadmap What you bring 5+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation Advanced proficiency in Python and SQL; experience with ML frameworks like XGBoost, LightGBM, or TensorFlow Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing Excellent communication skills and ability to influence decision-making across technical and non-technical audiences A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000 — $220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 — $194,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 — $172,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering insights, models, and strategies that shape Robinhood’s crypto product roadmap and growth. This role partners cross-functionally with product, engineering, and executive leadership to ensure data is at the core of our strategic decisions. Learn more about what the crypto team is up to here . This role is based in our Menlo Park, CA office, with in-person attendance expected at least 4 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Lead, mentor, and scale a team of data scientists and analytics engineers working across product and ML domains Partner closely with Crypto product, engineering, finance, and research teams to drive key initiatives such as international expansion, pro trader growth, and Wallet app adoption Deliver robust, data-driven recommendations and analyses to shape product direction, with a focus on stock tokens, perpetuals, and blockchain opportunities Foster a culture of excellence in analytics, experimentation, and impact within your team Represent Crypto Data Science in cross-functional leadership forums and contribute to overall Crypto org strategy What you bring 7+ years of experience in data science, including at least 2+ years of people management Deep experience with Python and SQL in a production or analytics environment Proven success in product data science roles, with a track record of delivering strategic insights and scalable solutions Strong understanding of the crypto ecosystem, with 3–4 years of direct experience highly preferred Executive presence, cross-functional influence, and outstanding communication skills Leadership expectations Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them: Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech. Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly. Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity. What we offer Challenging, high-impact work to grow your career. Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. Employer-paid life & disability insurance, fertility benefits, and mental health benefits. Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $247,000 — $290,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $247,000 — $290,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $247,000 — $290,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products. As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers. We’re looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users. This role is based in our Menlo Park office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics. Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes. Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making. Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership. Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact. Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes. Assist with established methods, standard approaches, and promote a data-informed culture within the organization. What you bring Proven expertise in data science, with a strong background in statistical analysis and machine learning. Outstanding problem-solving skills and the ability to think critically and creatively. Strong programming skills in Python & SQL, or other relevant languages. Experience with data visualization tools and techniques. Ability to successfully implement projects and compete in a fast-paced environment. PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $179,000 — $210,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $157,000 — $185,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $139,000 — $164,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products. As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers. We’re looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users. This role is based in our New York office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics. Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes. Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making. Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership. Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact. Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes. Assist with established methods, standard approaches, and promote a data-informed culture within the organization. What you bring Proven expertise in data science, with a strong background in statistical analysis and machine learning. Outstanding problem-solving skills and the ability to think critically and creatively. Strong programming skills in Python & SQL, or other relevant languages. Experience with data visualization tools and techniques. Ability to successfully implement projects and compete in a fast-paced environment. PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $179,000 — $210,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $157,000 — $185,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $139,000 — $164,000 USD In addition to the base pay range listed below, this role is also eligible for bonus opportunities + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed. Base Pay Range: Toronto, ON $110,500 — $130,000 CAD In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed. Base Pay Range: Toronto, ON $110,500 — $130,000 CAD Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected hourly range for this role is based on the location where the work will be performed. Toronto, ON $110,500 — $130,000 CAD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

About Flamingo Flamingo is an award-winning body, hair, and care brand delivering high-performance, thoughtfully designed products at an accessible price. Since launching in 2018, we’ve become the #3 player in women’s shave in the U.S. and expanded our assortment to offer products for every routine: razors, wax steps for face and body, shave gel, and body lotion. Our products and campaigns have been covered by Vogue, Vanity Fair, Elle, and InStyle, and we’ve won major beauty accolades from Allure and Essence. With a mission to empower women, Flamingo is committed to partnering with nonprofit partners working to help women and girls build healthy relationships with their bodies and has helped connect over 200K people to quality mental health and wellbeing resources. Flamingo is part of Mammoth Brands, the modern CPG company behind category-leading brands Harry’s, Flamingo, Lume, Mando, and Coterie. Driven by a mission to “Create Things People Like More,” the company is creating a new model—and home—for brands, founders, and talent looking to solve unmet needs, improve peoples’ lives and ultimately change the status quo. Even as we grow, we take extra care to maintain the small, scrappy, entrepreneurial culture that helped to get us where we are today: a company that people like more, that better serves its customers, employees, and community. Mammoth Brands is committed to making a positive impact and donated over $20 million through our network of nonprofit partners to date. About the Team The Customer Supply Chain (CSC) team sits within the broader Supply Chain organization and is directly embedded with our Retail partners. As part of Mammoth Brands, we support the end-to-end execution of Harry’s, Flamingo, Lume, and Mando across key retailers. As the Sr Manager for Walmart, you will own retail operations, forecasting, replenishment, and in-store execution from shelf to supply node. You will be accountable for ensuring best-in-class availability, in-stocks, OTIF performance, and flawless execution for Walmart’s omni-channel business. While this role is primarily Walmart-focused, there may be periodic support across other retailers depending on business needs. About the Role We’re seeking an analytical, collaborative, and execution-obsessed Customer Supply Chain Manager to lead end-to-end supply chain operations for Walmart. This is a high-impact, customer-facing role responsible for CPFR, operational performance management, chargeback mitigation, and partnership with Walmart’s replenishment and supply chain teams. You will work cross-functionally with Commercial leaders, Demand Planning, Supply Planning, Operations, Finance, and third-party partners to ensure products flow seamlessly through Walmart’s supply chain and onto shelves and digital carts. This role requires strong problem-solving, prioritization, and the ability to convert data into actionable insights and proactive recommendations. We’re looking for a strategic thinker who can also roll up their sleeves, move quickly, and manage both day-to-day operations and long-term improvements. What You’ll Accomplish End-to-End Forecasting, Replenishment & CPFR Lead Walmart forecasting & replenishment across all Mammoth Brands (Harry’s, Flamingo, Lume, Mando). Manage weekly CPFR processes, ensuring accurate internal inputs and alignment with Walmart’s Supply Plan. Conduct weekly replenishment analyses to monitor store inventory health, supply flow, and demand shifts. Own Event Management forecasting (promotions, resets, modular changes), new item launches, and end-of-life transitions. Identify risks and opportunities related to in-stocks, waste, overstocks, and seasonal dynamics. Retail Operations Leadership Serve as the go-to expert on Walmart operational processes including fulfillment, warehousing, transportation, in-store operations, modular execution, allowances, and chargebacks. Own OTIF and operational KPI tracking for Walmart; analyze root causes and lead corrective actions. Manage chargeback mitigation and recovery through cross-functional collaboration and retailer insights. Coordinate with Store Operations partners to identify and drive improvements in on-shelf execution. Customer Relationship Management Act as the primary point of contact for Walmart Replenishment Managers and Walmart Supply Chain stakeholders. Translate large, complex datasets and Walmart insights into clear recommendations that drive shared growth. Build and maintain strong relationships with internal and external partners, including 3PLs, HQ brokers, and Walmart’s supply chain & replenishment teams. Strategic Planning & Continuous Improvement Serve as a key input in our commercial forecast with Demand Planning and Commercial teams. Identify gaps in current operational processes and build strategic roadmaps for improvement.Support and/or lead cross-functional projects that drive operational efficiency and demand/supply alignment. Share & apply best practices across channels and retailers when appropriate. Tools, Reporting & Analytics Develop and maintain reporting, dashboards, and operational scorecards tied to KPI performance (e.g., OTIF, in-stocks, weeks of supply, supply plan accuracy). Leverage external Walmart systems as well as internal ERP tools, including: Retail Link, Luminate, DSS, Nova, Item 360, Aspen, SupplierOne, Scintilla, SPS Commerce, SAP Use data to generate insights on inventory flow, supply disruptions, and customer-facing performance. What Success Looks Like Walmart in-stock and OTIF performance consistently at or above target. Clear, proactive forecasting and replenishment recommendations that improve Supply Plan accuracy. Strong, trusted working relationships with Walmart Replenishment Managers and internal cross-functional teams. Reduction in chargebacks through root-cause identification and improved execution. Streamlined reporting and planning tools that elevate visibility and decision-making. Demonstrated ability to manage both daily operations and long-term strategic projects. This Should Describe You 5+ years of experience in retail operations, customer supply chain, supply chain management, or retail sales. Strong understanding of Walmart tools & resources (Luminate, Retail Link, Nova, Item 360, Aspen, SupplierOne, Scintilla). Deep knowledge of forecasting & replenishment, demand/supply planning, store operations, inventory management, and logistics. Skilled at managing large datasets and using Excel, analytics tools, and/or AI tools to uncover insights. Highly organized project manager with the ability to prioritize and lead through ambiguity. Strong communicator capable of translating complex analytics into simple operational actions. Comfortable collaborating across teams—Demand Planning, Sales, Supply Planning, Operations, Finance—and with external partners. Self-starter who thrives in a fast-paced environment and can balance strategic thinking with hands-on execution. Here’s Who You’ll Work With Reporting Structure You will report directly to our Sr Director, Customer Supply Chain within the broader Mammoth Brands Supply Chain organization. You will work in close partnership with the Walmart Commercial (Sales) team , with a dotted line to our Head of Walmart, supporting joint business planning, forecasting inputs, and operational execution. Cross-Functional Partners You will collaborate daily with teams across Mammoth Brands, including: Demand Planning – alignment on Supply Plan inputs, event management, forecast accuracy, and IBP. Supply Planning & Operations – ensuring capacity, production, transportation, and fulfillment readiness for Walmart. Commercial / Sales – aligning on business priorities, revenue drivers, and item-level strategies for Harry’s, Flamingo, Lume, and Mando. Finance – supporting inventory health, demand assumptions, and chargeback reconciliation. 3PLs & Transportation Teams – supporting flow-of-goods, shipment accuracy, and root-cause resolution for operational issues. External Partners This is a external-facing role. You will work directly with: Walmart Replenishment Managers – serving as their primary operational contact and strategic replenishment partner. Walmart Supply Chain & Merchant Support Teams – collaborating on inventory flow, modular changes, event readiness, and operational troubleshooting. 3rd Party Store Operations Partners – ensuring seamless communication, field execution, and compliance with Walmart operational expectations. Logistics & Retail Technology Partners – supporting inventory visibility, data pipelines, and supply chain performance tools. Benefits and perks Medical, dental, and vision coverage 401k match Equity in Mammoth Brands Flexible time off and working hours Wellness and L&D stipends 4 weeks sabbatical after 5 years, 6 weeks after 10 years, and 8 weeks after 15 years 20 fully paid weeks off for parents who give birth, or 16 fully paid weeks off for all other paths to parenthood Fun IRL and virtual events including happy hours, team building events, and parties on our rooftop Free products from all of our brands The Mammoth Brands working model is in-office Tuesday, Wednesday, and Thursday. Our beautiful 70,000 square foot SoHo office is decked out with bagels on Wednesdays and lunch on Thursdays, and fully stocked kitchens with snacks, coffee, and drinks everyday. Can’t forget the free products and the opportunity to have some meetings without Zoom! We can’t quantify all of the intangible things we think you’ll love about working at Mammoth Brands, like the exciting challenges we tackle, the smart and humble team you’ll get to work with, and our supportive and inclusive culture. That said, our salary ranges are based on paying competitively for our size and industry, and are one part of our total rewards package, which also includes a comprehensive set of benefits and our equity program. The base salary hiring range for this position is $118,000-$147,500 , but the final compensation offer will ultimately be based on the candidate’s location, skill level and experience. Mammoth Brands is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. Mammoth Brands is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, domestic violence victim status, arrest/conviction record, sexual or reproductive health decisions, caregiver status, credit history immigration status, unemployment status, traits historically associated with race, including but not limited to hair texture and protective hairstyles or any other status protected under applicable federal, state and local laws. Mammoth Brands' commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! Location: Chicago, IL (Hybrid) About Expert Insights: Expert Insights, which spans AlphaSense’s Expert Transcript Library and 1x1 Call Services offerings, delivers a new and transformative form of market intelligence content. Through transcripts covering thousands of companies, it captures the unfiltered views and insights of business operators in the trenches, interviewed by professional investors who drill into key questions on what’s truly important about a company at each moment in time. AlphaSense’s library of over 140,000 transcripts is the market’s largest, covering all sectors of the economy, with thousands more published each month. Expert Insights is quickly becoming a table-stakes solution for institutional investors to choose the right companies to invest in while gaining rapid adoption among all other consumers of market intelligence from sell-side research and banking, consultancies, and large corporations. About the Team: The Generated Content Team is an integral part of the Expert Insights group, generating thousands of calls each quarter on high-value and strategic content targets - ensuring that the AlphaSense Expert Transcript Library delivers comprehensive coverage to our users. The Generated Content team is responsible for identifying, recruiting, and onboarding the best possible experts from around the world based on the targets and topics we are looking to generate content against - ensuring that the interviews with those experts are of the highest-possible quality and relevance. About the Role: Reporting to the Senior Manager, Generated Content Operations - Channel & Customer Research Operations Managers oversee our research pods. Operations Managers are accountable for the overall performance of the research pods under their purview - motivating, managing, and supporting a team of Analysts in the delivery of high-quality, relevant content against our Channel & Customer Research volume and coverage goals. Natural people leaders, our Operations Managers are responsible for cultivating the talent on their team, bringing out the best in our employees through coaching, goal setting, and the delivery of clear and actionable feedback. Operations Managers are also process optimizers, identifying bottlenecks in Analyst workflows that slow production or lead to wasted efforts, and addressing them in ways that ensure the delivery of high-quality and relevant content to the library. Who You Are: 2+ years of experience in client service responsibilities and 2+ years of experience in people management Inspiring leader: You are deeply invested in Channel & Customer Research’s mission and vision of delivering high-quality, relevant insights to our customers - and are adept at connecting your team and their efforts to that mission, fostering a sense of ownership and meaning People manager: You have deep experience setting performance and professional development goals, and a successful track record in motivating, coaching, supporting, and holding individuals accountable in achieving those goals Team builder: You know how to build culture and support infrastructure that brings individual contributors together and enables them achieve their greatest collective potential Entrepreneurial: You are passionate about the development of teams, people, and processes and are motivated to drive the success of Generated Content and Expert Insights Metrics minded: You have a demonstrated track record of setting relevant KPIs to measure the success of both people and processes Data driven: You have a proven ability to build dashboards and analysis to spot patterns in productivity and output that inform your day-to-day management of the team Process innovator: You have a strong track record of building processes that drive scale and efficiency for your teams Problem solver: You have a proven ability to identify the root cause of issues and roadblocks, and implement sustainable solutions Skilled communicator: You’re able to leverage excellent oral and written communication skills to understand needs and drive alignment both with internal and external stakeholders What You’ll Do: Manage a team of Channel & Customer Research Analysts aligned to sectors of coverage and structured in pods Set and track performance KPIs for your team that balance output quality, relevance, and volume Guide the professional development of Analysts under your supervision Ensure overall library quality and relevance by partnering with Sector Leads to adjust research focus and sourcing strategies that support quality and relevance goals Coordinate with Sector Leads to define and update coverage territories based on evolving coverage goals and team capacity Hire and onboard Analysts Partner with Generated Content leadership to define and update coverage goals, and align research pod capacity and focus to evolving goals Partner with Generated Content Enablement to design and maintain process documentation and knowledge resources for team Work closely with leadership and cross-functional teams to troubleshoot issues and devise process, systems, and workflow improvements for research pods For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. You may also be offered a performance-based bonus, equity, and a generous benefits program. Base Compensation Range $85,000 — $110,000 USD AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @ alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page . If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips.Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com . What we’re looking for We are seeking a Senior Service Delivery Manager to drive and evolve our Jira ecosystem in service of product strategy, delivery, and decision-making. This role sits at the intersection of Product, Engineering, and Operations, ensuring that Jira supports scalable product development, clear prioritization, and high-quality execution. You will act as a product operations owner for Jira, driving standards, automation, and insights across product teams while exploring next-generation capabilities such as AI-enabled workflows via Jira’s MCP server and Atlassian Rovo. This is a senior role, requiring strong systems thinking, product fluency, and technical depth in Jira. What you’ll be working on Manage Jira (Cloud) as a product operations platform, including governance, architecture, and long-term roadmap Administer Jira (Cloud), including projects, workflows, issue types, custom fields, permissions, and schemes Establish and maintain governance standards and best practices across teams Partner with stakeholders to translate operational and product needs into Jira solutions Support teams using Agile, Scrum, Kanban, and hybrid project management methodologies Configure Jira to support project planning, execution, and delivery across multiple methodologies Enable product discovery and prioritization workflows using Jira Product Discovery, including ideas, insights, scoring, and roadmapping support Drive enablement and evolution of Jira Product Discovery, including idea intake, insights, scoring models, and prioritization frameworks Ensure seamless connection between discovery work and delivery execution in Jira Software Partner with Product Managers to improve clarity, transparency, and decision quality Identify opportunities to reduce manual work and improve data consistency across Jira projects Design and oversee advanced Jira Automation to reduce manual work and improve signal quality Develop sophisticated JQL-based dashboards and reports to support product planning, capacity management, and leadership visibility Ensure product data is reliable, actionable, and aligned with business goals Explore and implement AI-enabled solutions using Jira’s MCP server, including integrations with LLM-based tools Pilot innovative use cases leveraging Atlassian Rovo to improve knowledge discovery and productivity Partner with internal teams to responsibly adopt AI-driven Jira capabilities Act as a trusted Jira and project tooling expert for Operations, Product, and cross-functional teams Create documentation, standards, and lightweight training to support Jira adoption at scale Support change management for new Jira features, workflows, and automations We’d love to hear from people with 8+ years of experience in Product Operations, Product Management, or Business Systems, with deep Jira ownership Advanced Jira Cloud administration experience across multiple product teams Expert-level JQL skills and strong experience with Jira Automation Strong working knowledge of Jira Product Discovery and modern product discovery practices Deep understanding of Agile, Scrum, Kanban, and hybrid product development methodologies Strategic & Technical Skills Proven ability to translate product strategy into scalable systems and workflows Strong analytical and systems-thinking mindset Comfort influencing senior stakeholders without direct authority Experience working with Jira integrations, APIs, or advanced platform configurations Experience in high-growth, multi-product, or platform organizations Hands-on experience or strong interest in Jira MCP server and AI-enabled Jira solutions (Nice to have, not required) Familiarity with Atlassian Rovo (Nice to have, not required) Atlassian certifications (Jira Cloud Admin, Agile, Automation), (Nice to have, not required) The base pay provided for this position ranges from $140,250.00 / year - $189,750.00 / year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.Bonuses and commissions may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from a SurveyMonkey office up to 1 day per week. #LI-Hybrid Why SurveyMonkey? We’re glad you asked At SurveyMonkey, curiosity powers everything we do. We’re a global company where people from all backgrounds can make an impact, build meaningful connections, and grow their careers. Our teams work in a flexible, hybrid environment with thoughtfully designed offices and programs like the CHOICE Fund to help employees thrive in work and life. We’ve been trusted by organizations for over 25 years, and we’re just getting started. Our milestones include celebrating a quarter-century of curiosity with 25 acts of giving , opening new hubs in Costa Rica and India , crossing the threshold of 100 billion questions answered , and earning recognition as one of the Most Inspiring Workplaces across North America and Asia . We live our company values —like championing inclusion and making it happen—by embedding them into how we hire, collaborate, and grow. They help shape everything from our culture to our business decisions. Come join us and see where your curiosity can take you. Our commitment to an inclusive workplace SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.