Join us in building the future of finance.
\nOur 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.
\nAbout the team + role
\nWe 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.
\nThe Customer Intelligence and AI (CIAI) team is a specialized Data Science group within Robinhood’s Corporate Strategy organization. Our mission is to unlock deeper insights into customer behaviors, satisfaction, and market performance through Net Promoter Score (NPS), benchmarking, and advanced analytics. We apply data science, machine learning, and AI to improve customer experiences, drive operational efficiency, and inform company-wide strategy. We partner with teams across Robinhood,including Product, Data, Engineering, Marketing, Finance, and Research. Our work powers strategic decision-making, enhances operational performance, and integrates into data science and AI pipelines across the company.
\nAs a Sr. Analytics Engineer on the CIAI team, you will strengthen and expand Robinhood’s Corporate Strategy and benchmarking capabilities. This includes designing and improving measurement frameworks, conducting deep-dive analyses, and shaping how Robinhood tracks and improves customer experience relative to competitors. You’ll contribute to both recurring programs and new technical projects that advance our ability to measure company performance and improve decision-making efficiently.
\nThis 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.
\nWhat you’ll do
\nWhat you bring
\nWhat we offer
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\nOur 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.
\nWe 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 focused on delivering meaningful results.
\nAs an Analytics Engineer, you will design and build ETL pipelines, data models, and analytics tools that support key business decisions. You will contribute to defining metrics, improving dataset quality, and establishing standards for analytics development.
\nThis role offers the opportunity to influence how teams access and use data across Robinhood while supporting systems that operate at scale!
\nThis role is based in our Toronto, ON office, with in-person attendance expected at least 3 days per week.
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\nFoundational Data team: Our mission in the Foundational Data team is to build and maintain high-quality datasets frequently used across all of Airbnb. We set company-wide standards that decide how locations are grouped into regions, visitors are measured based upon site traffic, bot traffic is separated from organic traffic, and cloud costs are attributed to Airbnb services. This data is used to build public financial reports, drive strategic marketing decisions, and manage operational costs.
\nAirCover Data Foundation: The AirCover Data Foundation team is responsible for providing trustworthy, consistent data and metrics to facilitate business insights, informed decision-making, and seamless operations across Airbnb's AirCover programs, such as Guest Travel Insurance, AirCover for Hosts, and AirCover for Guests.
\nAs a Staff Analytics Engineer, you will bring a unique lens to our data strategy and provide in-depth technical mentorship and leadership to the team. We are looking for someone with expertise in data modeling, metric development, and large-scale distributed data processing frameworks like Presto or Spark.
\nLeveraging our internal, top-tier data tooling alongside other resources, you will empower both technical and non-technical teams across Airbnb to utilize our data for making decisions grounded in evidence. Staff-level engineers are expected to do this with a minimal amount of supervision. We value innovative thinkers who consistently seek smarter and more efficient solutions while managing daily operations, deadlines, and collaborating with team members.
\nA Typical Day:
\nYour Expertise:
\nNice to have:
\nYour Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states.
\nOur Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.
\nHow We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $194,000-$240,000 USD
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\nThe Security team's goal is to identify, measure, manage, mitigate, and report risk associated with products to keep our customer's funds and data safe. You will collaborate with program sponsors and cross-functional Security partners to identify, document, and objectively assess opportunities, challenges, and risks across traditional and novel Security domains using qualitative and quantitative factors, including KRIs and KPIs.
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\nYou will provide program status to Security leadership while ensuring transparency on key metrics, program effectiveness, strategic direction, and changes. You will conduct regular data analysis on security control performance to identify trends, anomalies, and areas for improvement, leveraging BI tools to drive data-informed decisions.
\nYou will drive process improvement and scaling initiatives within security programs by leveraging AI tools, automation, and retrospectives to optimize workflows, reduce manual toil, and achieve outcomes efficiently. You will author Objectives and Key Results (OKRs) to focus teams on the right short-term and long-term goals, and manage change across complex multi-quarter programs.
\nYou will rapidly identify and escalate risks to enable proactive collaboration and timely resolution.
\nWe're looking for a Technical Program Manager II with a strong understanding and proven experience of formal program management methodologies, working knowledge of and experience in cyber/security domain, fluency in leveraging AI in daily workflows to enhance efficiency, drive process improvements, and deliver high-quality, business-ready outputs.
\nYou should have exceptional skills in time management, facilitation, communication, and organization, ability to translate complex concepts simply for varied audiences, experience managing cross-functional teams and stakeholders, and comfortable navigating ambiguity and operating in environments where processes and paved roads may not yet exist.
\nNice to haves include professional certification such as PMP, CISSP and CISA, working knowledge of and experience in the technology and/or financial technology industry, experience working across all the three lines of defense (3LOD), and advanced understanding of Generative AI, Google Workspace, JIRA, Linear, Superset, Looker and SQL.
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