Robinhood
Senior Software Engineer, Customer Intelligence
Robinhood, Menlo Park, California, United States, 94029
Join a leading fintech company that’s democratizing finance for all.
Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.
With growth as the top priority...
The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.
About the team + role
The Customer Intelligence and AI (CIAI) team is a specialized Data Science unit within Robinhood's Corporate Strategy organization. Our goal is to deepen insights into customer behaviors and satisfaction using data science, machine learning, and AI. We partner with several teams across Robinhood including: Data, Product, Marketing, Eng, Finance, and Research. Our work drives operational efficiency, company-wide strategy and is integrated into DS/AI pipelines.
As a Customer Intelligence Engineer, you will be responsible for developing our internal tooling infrastructure for AI use cases, maintaining ML/data pipelines and supporting customer insights research. This position is ideal for a software engineer who enjoys working on a team to solve ambitious problems with a high degree of autonomy. Candidates should be experienced in developing full stack solutions, working with data insight functions, and step up to own increasingly strategic work over time. The role offers scope for technical growth while developing AI, business and product competencies.
The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What You’ll Do
Systems Engineering: Collaborate with our Data, Engineering, and ML Platform teams to establish a reusable framework designed to efficiently distribute customer insights. Your role will involve architecting and integrating both front-end and back-end systems, as well as developing internal apps and data pipelines.Operationalizing LLMs: Engage in the application of large language models through prompt research and design, system architecting and operationalization.Data Tooling: Facilitate team-level reporting by establishing processes that gather and consolidate data from diverse internal and external sources, ensuring reliable and actionable information flow.Research: Assist in the generation of team insights and analyses through customer research, supporting strategic initiatives and improving the understanding of customer dynamics.
What You Bring
Educational Background: Bachelor's or Master's degree in a quantitative field (physics, mathematics, computer science, statistics, engineering)Professional Experience: 5+ years post-undergraduate or 3+ years post-graduate experience in full stack engineering and business strategy; relevant positions include technical roles at management consulting firms, investment firms, or technology companies developing internal applicationsProficient in the AWS ecosystem, with substantial experience in developing, deploying, and monitoring internal applications. Certifications are a plus (AWS Certified Developer, Solutions Architect, Data Engineer, or DevOps Engineer, etc)Advanced proficiency in Python programming and knowledge of SQLExperience with at least one front-end framework, along with familiarity with JavaScript, Node and HTMLExcellent communication abilities with a team-first approach. Capable of driving data informed decision-making and effectively engaging with stakeholders across multiple functionsStrong ownership mentality with a consistent track record of employing creative solutions to achieve results. Must be a self-starter capable of navigating through ambiguity and adapting in a dynamic work environment
Bonus Points
Familiarity with writing prompts for large language models, showcasing an understanding of and interest in AI-driven data analysis techniquesExperience with Svelte and Svelte Kit are highly desirableFamiliarity with the machine learning development process and the data science workflowCandidates with social science and natural science backgrounds who have shifted to heavier quant/software engineering roles are encouraged to apply
What We Offer
Market competitive and pay equity-focused compensation structure100% paid health insurance for employees with 90% coverage for dependentsAnnual lifestyle wallet for personal wellness, learning and development, and more!Lifetime maximum benefit for family forming and fertility benefitsDedicated mental health support for employees and eligible dependentsGenerous time away including company holidays, paid time off, sick time, parental leave, and more!Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter 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 salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
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)
$146,000—$172,000 USD
Click here to learn more about available Benefits, which vary by region and Robinhood entity.
We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.
Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.#J-18808-Ljbffr
Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.
With growth as the top priority...
The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.
About the team + role
The Customer Intelligence and AI (CIAI) team is a specialized Data Science unit within Robinhood's Corporate Strategy organization. Our goal is to deepen insights into customer behaviors and satisfaction using data science, machine learning, and AI. We partner with several teams across Robinhood including: Data, Product, Marketing, Eng, Finance, and Research. Our work drives operational efficiency, company-wide strategy and is integrated into DS/AI pipelines.
As a Customer Intelligence Engineer, you will be responsible for developing our internal tooling infrastructure for AI use cases, maintaining ML/data pipelines and supporting customer insights research. This position is ideal for a software engineer who enjoys working on a team to solve ambitious problems with a high degree of autonomy. Candidates should be experienced in developing full stack solutions, working with data insight functions, and step up to own increasingly strategic work over time. The role offers scope for technical growth while developing AI, business and product competencies.
The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What You’ll Do
Systems Engineering: Collaborate with our Data, Engineering, and ML Platform teams to establish a reusable framework designed to efficiently distribute customer insights. Your role will involve architecting and integrating both front-end and back-end systems, as well as developing internal apps and data pipelines.Operationalizing LLMs: Engage in the application of large language models through prompt research and design, system architecting and operationalization.Data Tooling: Facilitate team-level reporting by establishing processes that gather and consolidate data from diverse internal and external sources, ensuring reliable and actionable information flow.Research: Assist in the generation of team insights and analyses through customer research, supporting strategic initiatives and improving the understanding of customer dynamics.
What You Bring
Educational Background: Bachelor's or Master's degree in a quantitative field (physics, mathematics, computer science, statistics, engineering)Professional Experience: 5+ years post-undergraduate or 3+ years post-graduate experience in full stack engineering and business strategy; relevant positions include technical roles at management consulting firms, investment firms, or technology companies developing internal applicationsProficient in the AWS ecosystem, with substantial experience in developing, deploying, and monitoring internal applications. Certifications are a plus (AWS Certified Developer, Solutions Architect, Data Engineer, or DevOps Engineer, etc)Advanced proficiency in Python programming and knowledge of SQLExperience with at least one front-end framework, along with familiarity with JavaScript, Node and HTMLExcellent communication abilities with a team-first approach. Capable of driving data informed decision-making and effectively engaging with stakeholders across multiple functionsStrong ownership mentality with a consistent track record of employing creative solutions to achieve results. Must be a self-starter capable of navigating through ambiguity and adapting in a dynamic work environment
Bonus Points
Familiarity with writing prompts for large language models, showcasing an understanding of and interest in AI-driven data analysis techniquesExperience with Svelte and Svelte Kit are highly desirableFamiliarity with the machine learning development process and the data science workflowCandidates with social science and natural science backgrounds who have shifted to heavier quant/software engineering roles are encouraged to apply
What We Offer
Market competitive and pay equity-focused compensation structure100% paid health insurance for employees with 90% coverage for dependentsAnnual lifestyle wallet for personal wellness, learning and development, and more!Lifetime maximum benefit for family forming and fertility benefitsDedicated mental health support for employees and eligible dependentsGenerous time away including company holidays, paid time off, sick time, parental leave, and more!Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter 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 salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
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)
$146,000—$172,000 USD
Click here to learn more about available Benefits, which vary by region and Robinhood entity.
We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.
Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.#J-18808-Ljbffr