Senior Privacy Engineer II at Moveworks
MOFFETT FIELD, CA 94035
About the Job
Who We Are Moveworks is the universal AI copilot for search and automation across all your business applications
We give employees one place to go to find information and get support while reducing costs for your business
The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them
It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees. The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminaterepetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team
In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year
We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024! Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.Come join one of the most innovative teams on the planet!The RoleAre you passionate about safeguarding customer data? Do you like to work hand-in-hand with ML engineers to innovate and build privacy resilient solutions? Do you want to apply theoretical privacy research to develop practical solutions that work at scale? 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 so customer data is appropriately safeguarded across all systems and privacy-enhancing technologies are deployed at scale
You will use your deep technical knowledge to lead a cross-functional privacy engineering team, engage with key stakeholders, and ensure our privacy strategy aligns with organizational goals.What You Will DoSpearhead the strategic development and execution of Moveworks’ Privacy RoadmapLead the creation and continuous refinement of privacy solutions, including but not limited to privacy-preserving machine learning algorithms and comprehensive data privacy controlsConduct thorough Privacy Reviews, educating and guiding stakeholders throughout the processUtilize your expertise in machine learning and software engineering to deliver privacy-focused solutionsCollaborate closely with teams across machine learning, product development, infrastructure, and data science to design and implement privacy-centric initiativesImplement robust Privacy Enhancing TechnologiesEnsure compliance with privacy regulationsPerform risk assessments and exceptionsDefine and measure key privacy metricsCreate and maintain privacy-related materials for both internal and external audiencesWhat You Bring To The Table5+ years of experience in Privacy Engineering4+ 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 solutionsExperience building long-lasting relationships with teams Ability to identify privacy risks, develop mitigation plans, and implementing solutionsFamiliarity with global privacy regulations (e.g.,CCPA, GDPR).Experience with cloud infrastructure like AWS, GCP, and/or AzureA high level of curiosity about engineering outside of your immediate discipline and an incessant desire to learnBS+ in computer science or a related field, or equivalent relevant experienceHands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluationExperience in AI fairness, privacy, permission controls, safety, and/or securityCompensation Range: $212,000 - $255,000*Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans. Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.Moveworks Is An Equal Opportunity Employer*Moveworks is proud to be an equal opportunity employer
We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.
We give employees one place to go to find information and get support while reducing costs for your business
The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them
It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees. The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminaterepetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team
In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year
We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024! Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.Come join one of the most innovative teams on the planet!The RoleAre you passionate about safeguarding customer data? Do you like to work hand-in-hand with ML engineers to innovate and build privacy resilient solutions? Do you want to apply theoretical privacy research to develop practical solutions that work at scale? 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 so customer data is appropriately safeguarded across all systems and privacy-enhancing technologies are deployed at scale
You will use your deep technical knowledge to lead a cross-functional privacy engineering team, engage with key stakeholders, and ensure our privacy strategy aligns with organizational goals.What You Will DoSpearhead the strategic development and execution of Moveworks’ Privacy RoadmapLead the creation and continuous refinement of privacy solutions, including but not limited to privacy-preserving machine learning algorithms and comprehensive data privacy controlsConduct thorough Privacy Reviews, educating and guiding stakeholders throughout the processUtilize your expertise in machine learning and software engineering to deliver privacy-focused solutionsCollaborate closely with teams across machine learning, product development, infrastructure, and data science to design and implement privacy-centric initiativesImplement robust Privacy Enhancing TechnologiesEnsure compliance with privacy regulationsPerform risk assessments and exceptionsDefine and measure key privacy metricsCreate and maintain privacy-related materials for both internal and external audiencesWhat You Bring To The Table5+ years of experience in Privacy Engineering4+ 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 solutionsExperience building long-lasting relationships with teams Ability to identify privacy risks, develop mitigation plans, and implementing solutionsFamiliarity with global privacy regulations (e.g.,CCPA, GDPR).Experience with cloud infrastructure like AWS, GCP, and/or AzureA high level of curiosity about engineering outside of your immediate discipline and an incessant desire to learnBS+ in computer science or a related field, or equivalent relevant experienceHands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluationExperience in AI fairness, privacy, permission controls, safety, and/or securityCompensation Range: $212,000 - $255,000*Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans. Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.Moveworks Is An Equal Opportunity Employer*Moveworks is proud to be an equal opportunity employer
We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.
