Senior Privacy Engineer

Who We Are

Moveworks is the ultimate copilot platform for automating employee support, empowering our customers' workforce to seamlessly interact with all of their business systems through natural language. Our platform is powered by the world’s most advanced LLMs and our proprietary MoveLM models, enabling users to search for information, automate tasks, and create content using generative AI.

Top brands such as Databricks, Broadcom, DocuSign, and Palo Alto Networks rely on Moveworks to automate support, enhance employee experience and productivity, and navigate critical business initiatives.

Founded in 2016, Moveworks has raised $315 million in funding, and has most recently been valued at $2.1 billion, thanks to our award-winning product and team. In 2023, we made it to the Forbes Cloud 100 list and the Forbes AI 50 for the fifth consecutive year. Additionally, we were honored by the 2023 Edison Awards for AI Optimized Productivity and featured on Fast Company's Most Innovative Companies list for 2024!

With over 500 employees in six offices worldwide, Moveworks is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, and Iconiq.

Come join one of the most innovative teams on the planet!

The Role

Are you passionate about safeguarding customer data? Do you enjoy working alongside ML engineers to innovate and build resilience in privacy solutions? Do you wish to apply theoretical privacy research to develop practical, scalable solutions? If so, we have the perfect opportunity for you.

As a Senior Privacy Engineer, you will own the Privacy roadmap, ensuring that robust privacy protections are seamlessly integrated across all platforms. Reporting directly to the Chief Information Security Officer, you’ll be responsible for designing and implementing privacy solutions to safeguard customer data across all systems while deploying privacy-enhancing technologies at scale. Your deep technical knowledge will help you lead a cross-functional privacy engineering team, engage with key stakeholders, and align our privacy strategy with organizational goals.

What You Will Do

• Spearhead the strategic development and execution of Moveworks’ Privacy Roadmap
• Lead the creation and continuous refinement of privacy solutions, including but not limited to privacy-preserving machine learning algorithms and comprehensive data privacy controls
• Conduct thorough Privacy Reviews, educating and guiding stakeholders throughout the process
• Utilize your expertise in machine learning and software engineering to deliver privacy-focused solutions
• Collaborate closely with teams across machine learning, product development, infrastructure, and data science to design and implement privacy-centric initiatives
• Implement robust Privacy Enhancing Technologies
• Ensure compliance with privacy regulations
• Perform risk assessments and exceptions
• Define and measure key privacy metrics
• Create and maintain privacy-related materials for both internal and external audiences

What You Bring To The Table

• 5+ years of experience in Privacy Engineering
• 4+ years of work experience in Python, Golang, Java, and/or C++
• Demonstrated expertise in core privacy technologies and methodologies, including anonymization techniques and data protection strategies.
• Proven track record in designing, implementing, and maintaining privacy solutions
• Experience building long-lasting relationships with teams
• Ability to identify privacy risks, develop mitigation plans, and implement solutions
• Familiarity with global privacy regulations (e.g., CCPA, GDPR)
• Experience with cloud infrastructure like AWS, GCP, and/or Azure
• A high level of curiosity about engineering outside of your immediate discipline and an incessant desire to learn
• BS+ in computer science or a related field, or equivalent relevant experience
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation, error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

Compensation Range: $212,000 - $255,000

Our compensation package includes