CrawlJobs Logo

Senior Program Manager, Data Privacy & AI

docker.com Logo

Docker

Location Icon

Location:
United States

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

173600.00 - 217000.00 USD / Year

Job Description:

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! We are hiring a Senior Program Manager: Data Privacy and AI. This is a hands-on role for someone who has demonstrated experience building and running privacy programs inside a technology company, and understands how modern SaaS and AI products process and utilize data. You will be the go-to Dockhand for data privacy and AI compliance across the company. In this role you’ll work closely with Engineering, Product, Security, Sales, Compliance, IT, and Legal to ensure our products and practices meet global privacy and emerging AI regulations. You will not just interpret rules, you’ll translate them into practical, scalable processes that ensure compliance while optimizing product innovation and company growth. Your work will directly impact how we safeguard the personal information of our customers, partners, and employees across domestic and international operations.

Job Responsibility:

  • Lead privacy and AI risk assessments and audits for new and existing products
  • Own DPIAs, maintain records of processing activities, and manage DSAR workflows
  • Partner with Product and Engineering during launches to assess data use, retention, cross-border transfers, and AI implications
  • Proactively recommend updates to DPAs, AI addendums, terms, and related legal documentation as products evolve
  • Monitor and analyze changes in global privacy and AI regulations and advise leadership on required updates
  • Collaborate with Legal, Compliance, IT, and Security to ensure privacy documentation, controls, and processes remain current and aligned with product changes
  • Support investigation and resolution of privacy-related inquiries in partnership with Legal and Security
  • Support customer privacy and security questionnaires alongside Sales, Deal Desk, and GRC
  • Design and deliver internal privacy and AI training
  • Improve and scale privacy tools, intake processes, and cross-functional workflows

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, Law, or related field, or equivalent demonstrated professional experience
  • 5+ years of hands-on experience in data privacy, data protection, and/or AI within a technology or SaaS company
  • Demonstrated experience conducting privacy risk assessments, DPIAs, audits, and implementing mitigation measures
  • Practical working knowledge of GDPR and CCPA/CPRA with day-to-day implementation experience
  • Experience supporting or implementing AI governance practices, including assessing how AI systems use and process company or customer data
  • AI-Native prompting capability
  • Experience collaborating with Security or GRC teams in regulated environments such as SOC 2 or ISO 27001
  • Experience managing or materially contributing to DSAR processes and maintaining records of processing activities
  • Experience working on DPAs and privacy-related contract terms
  • At least one current privacy certification such as CIPP/E or CIPP/US (or equivalent)

Nice to have:

  • Direct experience operationalizing data privacy for developer-focused software
  • Familiarity with emerging AI regulations such as the EU AI Act
  • Familiarity with additional regulatory frameworks such as HIPAA or industry-specific compliance standards
  • Experience delivering privacy or compliance training
  • Experience supporting customer privacy and security questionnaires
  • Experience working with privacy management tools or workflow systems
What we offer:
  • Freedom & flexibility
  • fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup
  • we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity
  • we are a growing start-up and want all employees to have a share in the success of the company
  • Docker Swag
  • Medical benefits, retirement and holidays vary by country
  • Remote-first culture, with offices in Seattle and Paris

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Program Manager, Data Privacy & AI

Global Data Privacy Counsel

We are looking for a senior attorney with extensive experience in global data pr...
Location
Location
United States , Atlanta
Salary
Salary:
Not provided
arrive.com Logo
Arrive
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Juris Doctor degree from a reputable, accredited U.S. law school
  • Active license in good standing with one or more U.S. state bars (Georgia preferred)
  • 10+ years of progressive experience in data privacy and cybersecurity legal matters, with significant in-house experience at a high-growth, technology-driven company
  • Deep expertise and knowledge of and hands-on experience with U.S. and international data privacy, cybersecurity, and compliance laws and frameworks (including GDPR, CCPA/CPRA, PCI-DSS, ISO certifications, and other relevant global standards) and leading-edge AI regulations and frameworks
  • Demonstrated success in providing strategic legal counsel that balances risk management with enabling innovation and business growth, particularly in payments and data-driven initiatives
  • Proven experience leading global privacy and data protection programs, including managing privacy and data protection risk frameworks and governance
  • Experience managing external counsel, auditors, and regulators
  • Proven ability to lead, develop, and inspire diverse, global teams, including direct leadership experience with Data Protection Officers and other privacy professionals
  • Strong business acumen with the ability to translate complex legal concepts into clear, actionable advice that aligns with business objectives and supports deal-making and sales acceleration
  • Excellent communication and interpersonal skills, with the ability to influence stakeholders at all levels, including senior executives and cross-functional teams globally
Job Responsibility
Job Responsibility
  • Serve as a trusted strategic legal advisor to executive leadership, business unit and function heads, and the governance committees on global privacy, data protection, and cybersecurity risks, as well as opportunities aligned with rapid business growth and innovation
  • Design, lead, and continuously evolve the global privacy and data protection program, ensuring it not only meets regulatory requirements but also supports scalable growth and competitive advantage in a fast-paced, high-growth environment
  • Partner closely with product, technology, payments, data, software and hardware sales, marketing, and strategy teams to embed privacy-by-design and data governance principles into all data-driven and payment-related initiatives
  • Advise on privacy, data protection, cross-border data processing, and emerging technologies (AI and machine learning), in connection with parking, public transport and other urban mobility technologies and data services (B2B, B2C), to help the company navigate these complex regulatory environments while accelerating innovation
  • Balance risk management with enabling agility—help business units achieve their ambitious growth objectives without compromising compliance or customer trust
  • Lead and manage a global, unified privacy and data protection team, including the EU Data Protection Officer and EU Privacy Program Manager, and serve as the global privacy and data protection leader responsible for harmonizing privacy and data protection practices across all regions
  • Act as the company’s U.S. and Canada Privacy Officer, overseeing all U.S.-specific and Canada-specific aspects of the global privacy and data protection program
  • Own enterprise-wide development, implementation, and continuous improvement of privacy and data protection policies, standards, and frameworks aligned with relevant global privacy and data protection-related regulations
  • Develop and maintain a privacy and data protection risk management framework and a dashboard of key privacy metrics to inform leadership decision making and monitor program effectiveness in a high-growth environment
  • Lead privacy and data protection audits and program assessments to ensure compliance and identify areas for improvement aligned with rapid company growth
Read More
Arrow Right

Senior Engineering Manager - AI/ML

Hewlett Packard Enterprise is looking for a Senior Engineering Manager - AI/ML t...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
  • 7-15 years’ experience including 5 or more years of people management experience
  • Advanced Degree (Master’s or Ph.D.) strongly preferred
  • Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively
  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders
  • Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results
  • Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
  • Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
  • Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R
  • Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.
Job Responsibility
Job Responsibility
  • Develop software algorithms to structure, analyze and leverage structured and unstructured data
  • Use machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy
  • Apply, optimize, and scale deep learning technologies and algorithms
  • Document procedures for installation and maintenance
  • Perform testing and debugging
  • Define and monitor performance metrics
  • Translate customer requirements and industry trends into AI/ML products and systems improvements
  • Develop and drive the organization’s AI and machine learning strategy
  • Identify new opportunities for AI and machine learning applications
  • Oversee complex AI and machine learning projects from conception to deployment
What we offer
What we offer
  • Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
  • Personal and professional development programs
  • Career growth opportunities
  • Inclusive work environment.
  • Fulltime
Read More
Arrow Right

Senior Privacy Engineer

We are seeking a Senior Privacy Engineer to join our Data Platform and Security ...
Location
Location
United States , San Francisco
Salary
Salary:
156000.00 - 234000.00 USD / Year
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in privacy engineering, data protection, or security engineering
  • Passion for privacy, trust, and data protection in modern cloud platforms
  • Strong analytical and problem-solving skills, with the ability to solve complex privacy and technical issues autonomously
  • Excellent communication skills, with the ability to explain complex topics to both technical and non-technical stakeholders
  • Background in secure coding practices, code auditing, and privacy-preserving design patterns
  • Proficiency with Python or other scripting languages for automation and privacy tool development
  • Hands-on experience with cloud environments and integration into data pipelines
  • Awareness of data protection regulations and principles (GDPR, CCPA,) and the ability to translate legal guidance into technical processes.
  • Familiarity with privacy tech platforms (e.g. DataGrail, Transcend), Data Subject Requests, cookie and tracking technology management platforms (CMPs) is a plus
  • Experience embedding privacy into modern data platforms (CDPs, Snowflake, Databricks, analytics tools, AI/ML workflows) is highly beneficial.
Job Responsibility
Job Responsibility
  • Embed Privacy by Design: Strengthen and operationalize our Privacy by Design program across systems, integrations, pipelines, and applications for B2B and B2C products and services
  • Investigate & Remediate Incidents: Analyze privacy and security incidents, perform root cause analysis, and drive remediation to prevent recurrence
  • Conduct Risk Assessments: Assist in privacy impact assessments for new products or data uses and risk reviews to identify vulnerabilities in our platforms, APIs, and ML Pipelines etc
  • Optimize Privacy Controls: Design and implement advanced controls for data classification, access management, encryption, anonymization, and pseudonymization
  • Provide Guidance & Enablement: Prescribe guidance and techniques for data anonymization and pseudonymization to the Data Engineering team, enabling the ML team to develop privacy-preserving models
  • Collaborate Cross-Functionally: Partner with security, legal, IT, engineering, and AI teams to align on regulatory compliance and technical implementation
  • Support Compliance: Ensure global privacy compliance (GDPR, CCPA, etc.) across a modern data stack (Snowflake, Databricks, CDP, Looker, AWS etc)
  • Innovate Privacy Solutions: Drive the development of new privacy-preserving features, tools, and automation for data lifecycle management
  • Maintain Documentation: Build and update technical documentation covering data flows, tracking technologies, retention policies, and privacy controls
What we offer
What we offer
  • Competitive pay and comprehensive healthcare benefits
  • Financial assistance for things like hybrid work, family planning
  • Generous parental leave
  • Flexible time-off policies
  • Mental health and wellness resources
  • Learning, development, and recognition programs
  • Fulltime
Read More
Arrow Right

Senior Engineer Manager - AI/ML

Senior Engineer Manager role in AI/ML at Hewlett Packard Enterprise, focusing on...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
  • 7-15 years' experience including 5 or more years of people management experience
  • Advanced Degree (Master's or Ph.D.) strongly preferred
  • Strong problem-solving and analytical skills
  • Excellent communication and presentation skills
  • Proven ability to manage multiple projects and priorities in a fast-paced environment
  • Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
  • Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
  • Strong technical expertise in AI and machine learning algorithms, models, and tools
  • Proficiency in programming languages such as Python or R
Job Responsibility
Job Responsibility
  • Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data
  • Uses machine learning and statistical modeling techniques to improve product/system performance
  • Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms
  • Applies, optimizes and scales deep learning technologies and algorithms
  • Documents procedures for installation and maintenance
  • Contributes to translating customer requirements into AI/ML products and solutions
  • Develops and drives the organization's AI and machine learning strategy
  • Leads and manages a team of AI and machine learning professionals
  • Oversees complex AI and machine learning projects from conception to deployment
  • Provides technical leadership and guidance to the team
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Comprehensive benefits suite supporting physical, financial and emotional wellbeing
  • Fulltime
Read More
Arrow Right

Senior Azure Data Engineer

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/...
Location
Location
Poland
Salary
Salary:
Not provided
lingarogroup.com Logo
Lingaro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 6 years of professional experience in the Data & Analytics area
  • 1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have)
  • Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
  • Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have)
  • Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
  • Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
  • Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
  • Knowledge of data management principles and best practices, including data governance, data quality, and data integration
  • Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
  • Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
Job Responsibility
Job Responsibility
  • Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams
  • Develop and execute a cloud data strategy aligned with organizational goals
  • Lead data integration efforts, including ETL processes, to ensure seamless data flow
  • Implement security measures and compliance standards in cloud environments
  • Continuously monitor and optimize data solutions for cost-efficiency
  • Establish and enforce data governance and quality standards
  • Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
  • Work with cross-functional teams to understand requirements and provide data solutions
  • Maintain comprehensive documentation for data architecture and solutions
  • Mentor junior team members in cloud data architecture best practices
What we offer
What we offer
  • Stable employment
  • “Office as an option” model
  • Workation
  • Great Place to Work® certified employer
  • Flexibility regarding working hours and your preferred form of contract
  • Comprehensive online onboarding program with a “Buddy” from day 1
  • Cooperation with top-tier engineers and experts
  • Unlimited access to the Udemy learning platform from day 1
  • Certificate training programs
  • Upskilling support
Read More
Arrow Right

AI Product Manager

We’re scaling AI and machine learning across our products, devices, and operatio...
Location
Location
United States , Boston
Salary
Salary:
121300.00 - 177900.00 USD / Year
simplisafe.com Logo
SimpliSafe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of product management experience, including significant ownership of AI/ML or data-intensive products
  • Clear track record of shipping production ML systems (not just integrating third-party AI APIs), in close partnership with data science, ML engineering, and MLOps
  • Principal-level impact: leading cross-team initiatives, shaping strategy, and influencing senior stakeholders
  • Strong understanding of core ML concepts and lifecycle: data, labeling, training/validation, evaluation metrics, deployment, monitoring, and retraining
  • ML experience with at least one of following: computer vision or sensor data, LLM-powered applications (prompting, RAG, fine-tuning, evaluation) and/or hardware or edge products (e.g., on-device models, connectivity/latency trade-offs)
  • Familiarity with modern ML infrastructure (cloud platforms, model serving, CI/CD for ML, monitoring/alerting)
  • Comfortable going deep into data, metrics, and model behavior—not just the UX layer
  • Excellent communicator who can make complex AI topics clear to diverse audiences
  • Strong alignment with our values: customer-obsessed, low ego, highly collaborative, comfortable with ambiguity, and biased toward learning and iteration.
Job Responsibility
Job Responsibility
  • Define and communicate the multi-year roadmap for key AI/ML capabilities across SimpliSafe
  • Identify and prioritize AI opportunities where models and data can materially improve safety, customer experience, or efficiency—on both devices and cloud services
  • Make build-vs-buy decisions for AI capabilities in partnership with data science and engineering
  • Partner with data scientists, ML engineers, and MLOps to design and deliver end-to-end ML solutions—from problem framing through data, training, evaluation, deployment, and monitoring
  • Work with hardware and embedded teams to shape edge AI/ML experiences (e.g., on-device detection, low-latency decisions, bandwidth-aware designs)
  • Define model-level requirements (metrics, latency, cost, guardrails) and connect them to business outcomes (e.g., false alarm reduction, detection accuracy, handle time, CSAT)
  • Translate product needs into requirements for ML platform capabilities (model serving, observability, experiment tracking, human-in-the-loop tools)
  • Lead product direction for LLM and multimodal use cases (e.g., text, vision, sensor data)
  • Decide when to use prompt engineering, RAG, fine-tuning, or traditional ML—and how to evaluate quality, safety, and hallucinations
  • Design workflows that incorporate human review and escalation where needed
What we offer
What we offer
  • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow, and thrive
  • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
  • Free SimpliSafe system and professional monitoring for your home
  • Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
  • Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits.
  • Fulltime
Read More
Arrow Right

Product Owner

The Data Adjustment Program GAI (Global Adjustment Inventory) Product Owner is a...
Location
Location
Costa Rica , Heredia
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in an enterprise-wide or cross-functional role and ability to influence senior business level ensuring shared ownership of the Company’s overall Adjustment Data strategy and plan execution
  • Strong understanding of the overall regulatory environment, Finance, Risk and Technology
  • Demonstrate strategic leadership in delivering business value through vision, governance, and executive management
  • Executive communication skills with an ability to describe complex topics in simple terms
  • Ability to understand and operate successfully in a complex, heavily matrixed corporate environment
  • Sense of urgency, passion for results and personal accountability for achievement
  • Ability to effectively drive and lead change in an organization with Citigroup’s size, scale, and complexity
  • Strong executive presence
  • confident in presenting a balanced view to key stakeholders and senior management
  • Deep knowledge of Risk & Finance data, along with an understanding of regulatory, compliance and risk management
Job Responsibility
Job Responsibility
  • Support and deliver the Enterprise Data Adjustment Program Data Repository
  • Enhance the Enterprise Adjustment suite for reporting, analytics and AI capabilities including data dashboards, executive dashboards, regulatory reports, risk reports
  • Provide strategic and operational direction and support to program and project delivery, ensuring alignment to strategic objectives, leading relationships with key stakeholders across multiple organizations and functions
  • Oversee and maintain regulatory compliance for adjustment data across the enterprise with key focus in the Risk & Finance organization, assessing data governance needs, partnering with the business and other stakeholders
  • Drive data quality, regulatory responses, risk management, and privacy to ensure data accuracy, security, and adherence to regulations
  • Drive adjustment reporting stakeholder engagement across the enterprise
  • Develop and build strong working partnerships and strategic relationships with key partners across the business and technology in aligning implementation and operational strategies
  • Fulltime
Read More
Arrow Right

Manager of Data Science

The Manager of Data Science will lead a dynamic team of data scientists responsi...
Location
Location
United States , Chicago
Salary
Salary:
84836.00 - 153548.75 USD / Year
adtalem.com Logo
Adtalem Global Education
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's Degree Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
  • 7+ years Experience in data science or analytics roles
  • 3+ years Experience leading technical teams and employees, either through direct People Management or through projects
  • Demonstrated success with agentic workflows and GenAI in data science product solutions
  • Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation)
  • Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
  • Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python, R, SQL, and Java)
  • Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server
  • Knowledge and familiarity with Power BI, Tableau, or comparable reporting and visualization platforms
  • Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
Job Responsibility
Job Responsibility
  • Manage, mentor, and develop a dynamic team of data scientists with diverse technical backgrounds
  • Develop and execute on projects and initiatives on the data science roadmap that align with business objectives
  • Collaborate with business leaders, key stakeholders, and cross-functional teams to identify high-impact opportunities for advanced analytics and translate business challenges into data science solutions
  • Lead and support various projects and initiatives, regularly managing competing priorities, deadlines, and expectations
  • Oversee the development of machine learning models, statistical analyses, and predictive algorithms
  • Drive innovation in modeling techniques, tools, and methodologies. Drive continuous improvement in team processes and methodologies
  • Ensure model quality, performance, and reliability through robust validation and testing frameworks
  • Establish best practices for model lifecycle management, including deployment, monitoring, and maintenance
  • Facilitate knowledge transfer and communicate complex technical concepts to non-technical audiences
  • Translate analytic findings into simple, actionable, and practical solutions and recommendations
What we offer
What we offer
  • Health, dental, vision, life and disability insurance
  • 401k Retirement Program + 6% employer match
  • Participation in Adtalem’s Flexible Time Off (FTO) Policy
  • 12 Paid Holidays
  • Eligible to participate in an annual incentive program
  • Fulltime
Read More
Arrow Right