R
Robinhood
Senior Applications Engineer
Skills
PythonAINo-code AutomationsServiceNow
2 months ago
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Important information
Salary:
$166,000 – $195,000 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
3 September 2026
What they need
Who you are
- 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
- Hands-on experience across a modern enterprise SaaS estate, Okta (identity, SSO, lifecycle), Google Workspace, Slack, ServiceNow, Atlassian, and with integration or workflow-automation platforms (e.g., Workato or similar)
- Strong scripting and API fluency: Python or similar for glue code and automation, plus working depth in REST, webhooks, OAuth, and SCIM. You ship working integrations; you don't need to be a full-stack systems engineer, that's what your SWE teammates are for
- Proven ownership of at least one significant service or platform area as its domain expert, with sound decisions under medium-to-high ambiguity
- An assessor's eye: you can look at an unfamiliar app and quickly see what data it touches, what it depends on, and what it would take to run it safely
- Exceptional analytical and communication skills, you translate technical complexity into clear guidance for both executives and engineers
- Proven ability to work independently in high-ambiguity situations, define scope where there is none, and build trust across functions
- Experience in highly regulated industries, particularly finance or fintech, is strongly preferred
What the job involves
- Robinhood is seeking a Senior Applications Engineer to join Enterprise Build, the small, high-leverage team that turns the company's best AI-built prototypes into true enterprise-grade services
- Robinhood's corporate ecosystem is deep, Okta identity, Google Workspace, Slack, ServiceNow, Atlassian, Salesforce, and the agent fabric that makes all of it agent-accessible
- When a prototype graduates into a real service, someone has to make it a native citizen of that ecosystem: single sign-on and access done right, provisioning and audit wired in, data flowing to and from the systems of record, surfaces appearing where people already work
- That someone is you
- You will own the front of the pipeline: when prototypes arrive at the team's intake, you perform the rapid technical assessment, what data it touches, what systems it needs, what would break, that determines whether it self-serves in the sandbox, becomes a Build engagement, or is better bought than built
- You’ll partner with the team's SWEs, who rebuild prototypes from the ground up into production services
- You determine how everything connects, with breadth across enterprise surfaces, and you personally deliver the many ‘graduations’ that are 80% integration, configuration, and workflow automation with 20% glue code, where a ground-up rebuild isn’t needed
- Between builds, your intake assessments shape what the whole team does next
- Own intake assessment for the graduation pipeline: rapidly evaluate incoming prototypes, data classification, system touchpoints, integration surface, risk flags, and recommend the disposition: sandbox, build, or buy
- Make graduated services native to the enterprise: SSO and access via Okta, SCIM provisioning, audit logging, and surfaces in Slack, Workspace, and ServiceNow where users already live
- Deliver integration-led graduations end-to-end where configuration, workflow automation, and targeted glue code beat a ground-up rebuild
- Build and maintain the MCP integrations and automations that connect Build's services to Robinhood's SaaS estate, and make them agent-accessible by default
- Work directly with business partners to map their real workflow before anything is built, and stay their translator throughout the engagement
- Partner with Enterprise Platforms on the identity and application-onboarding paved road, and with Enterprise Operations on clean operational handoffs
- Apply approved AI tools relentlessly to your own work: automate the repetitive parts of assessment, integration, and documentation so your time goes to judgment
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