Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.

By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With Rippling, you can just click a button and set up a new employees’ payroll, health insurance, work computer, and third-party apps—like Slack, Zoom, and Office 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, and Bedrock, and Greenoaks—and was named one of America’s best startup employers by Forbes (#12 out of 500).

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

About the role

Rippling's special sauce is its ability to automatically react and understand changes and connections across many systems. Rippling developed Unity, a major platform that connects systems traditionally reliant on bespoke integrations or, in worse cases, spreadsheets. These systems encompass payroll, device management, and others.

As Rippling expands globally, we need to scale up our abilities to support growing needs for data privacy and compliance requirements. This team has a wide range of responsibilities, including the data deletion framework, employee data mapping and anonymization, data retention policy, etc.

As the staff engineer of the team, you’ll play a crucial role in designing and implementing the framework we have and help define our future roadmaps. You’ll work closely with cross-functional teams to ensure that our data practices align with regulatory requirements and industry best practices.

What you will do

Design, implement, maintain and continuously improve our data privacy features and frameworks
Contribute to product design and implementation discussions
Work with legal and other stakeholders, conduct risk assessments to identify potential privacy and compliance risks, and develop strategies to mitigate them
Work with various engineering teams and leaders across the engineering organization
Coach junior engineers in the team, lead and introduce engineering best practice

Qualifications

8+ years of software engineering experience
Experience with data privacy, compliance or related fields
Experience translating regulatory requirements (GDPR, etc.) into technical implementations
Familiar with Python, MongoDB and/or other similar technologies
Ability to thrive in an dynamic environment by identifying areas of impact and independently pursuing them
A track record of influencing and enabling forward-thinking technology decisions across a wide organization
Excellent ability to communicate complex technical ideas with clarity and precision in written and verbal modes

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