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Selected role

AI Data Engineer - Customer Intelligence

Robinhood Menlo Park, CA; New York, New York

$187k - $220k Senior Full-time

Join a leading fintech company thatâs democratizing finance for all.

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is 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.

As we continue to build...

Weâre 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 youâre invigorated by our mission, values, and drive to change the world â weâd love to have you apply.

About the team + role

The Customer Intelligence and AI (CIAI) team is a specialized Data Science unit within Corporate Strategy. Our goal is to deepen insights into customer behaviors and satisfaction using NPS, and to refine the application of data science, machine learning, and AI to improve customer experiences and operational efficiencies across the company. 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 AI Data Engineer, you will be responsible for the development of our internal tooling infrastructure for AI use cases, supporting current ML/data pipelines and researching customer insights. This position is ideal for a data engineer or machine learning engineer with a strategy background. Candidates should be experienced in developing full stack solutions, conducting impactful research, and step up to own increasingly strategic work over time. The role offers scope for technical growth while developing strategic, 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 youâll do

Systems Engineering: Collaborate with our Data, Engineering, and 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 data pipelines.
Operationalizing Prompts for LLMs: Engage in the application of large language models through prompt research and design, system architecting and operationalization.
Data Engineering/Management: 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 detailed team insights and in-depth analyses through targeted customer research, driving strategic initiatives and improving understanding of customer dynamics.

What you bring

Educational Background: Possess an undergraduate or graduate degree in a quantitative field. Candidates with social science and natural science backgrounds who have shifted to heavier quant/programming roles are highly encouraged to apply.
Professional Experience: Minimum of 3-5 years post-undergraduate or 2-3 years post-graduate experience in data engineering or full stack engineering and business strategy. Relevant positions might include technical roles at management consulting firms, investment firms, or technology companies.
Demonstrated ability to deliver data-driven insights that have a tangible impact on business outcomes. Strong analytical capabilities are critical.
Attention to detail with the competence to manage multiple deadlines across various projects.
Strong 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.
Excellent communication abilities, capable of driving data informed decision-making and effectively engaging with stakeholders across multiple functions.

Technical Expertise:

Proficient in the AWS ecosystem, with substantial experience in developing, deploying, and monitoring applications within this environment.
Advanced proficiency in Python programming, intermediate knowledge of SQL, and experience with at least one front-end framework, along with familiarity with JavaScript and HTML.
Familiarity with the development process of machine learning models and the data science workflow.

Plus:

AWS Certifications: Possession of an AWS certification, such as AWS Certified Developer, Solutions Architect, Data Engineer, or DevOps Engineer, is highly desirable.
Front-End Development: Experience with Svelte and Svelte Kit, demonstrating current web development skills.
AI and Machine Learning: Familiarity with writing prompts for large language models, showcasing an understanding of and interest in AI-driven data analysis techniques.
Data Visualization Tools: Proficiency with Looker or similar business intelligence platforms to effectively visualize data and insights.

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more!
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous 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 Robinhoodâs 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 Robinhoodâs Benefits.

Weâre looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If youâre ready to give 100% in helping us achieve our missionâweâd 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. To review Robinhood's Privacy Policy please review the specific policy applicable to the country where you are applying.

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