About the role

Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial.

This is a foundational role. As one of our first dedicated privacy engineers, you will help establish the privacy engineering function at Anthropic and shape how privacy is designed into our AI systems from the ground up. You'll sit within our Data Infrastructure team, architecting privacy-preserving systems, leading the implementation of privacy-enhancing technologies across our infrastructure, and providing technical leadership on privacy across engineering, research, and product teams.

You'll work at the intersection of privacy engineering, AI safety, and distributed systems, solving problems that don't yet have established answers. This is a senior individual contributor role with high autonomy and broad influence.

Key responsibilities

• Design and implement privacy-preserving architectures for AI training and inference systems operating at very large scale, using techniques e.g. differential privacy, federated learning, and secure multi-party computation

• Partner with researchers to implement privacy-preserving training methods that protect user data while maintaining model quality

• Build foundational privacy infrastructure, including automated data discovery, classification, access controls, audit logging, and lifecycle management

• Translate regulatory requirements (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into technical implementations and automated compliance controls

• Architect data governance systems for tracking data lineage, purpose limitation, and retention across distributed AI systems

• Lead privacy reviews and threat modeling for new models and features, identifying risks and designing scalable mitigations

• Partner with product and infrastructure teams to embed privacy controls into Claude's inference systems, user interfaces, and data pipelines

• Develop privacy engineering toolkits and frameworks that enable other engineers to build privacy-preserving features by default

• Design privacy-preserving analytics and measurement systems that surface useful insights without exposing individual user data

• Evaluate emerging privacy technologies from academia and industry, and contribute to open-source tooling and AI privacy standards

• Advise on and advocate for privacy practices as a core part of how we approach AI safety

Minimum qualifications

• Experience applying privacy engineering principles in production systems, including privacy by design, data minimization, and purpose limitation

• Proficiency in Python, Go, or similar languages, with experience building and operating production systems at scale

• Experience designing and implementing privacy infrastructure for systems with a large user base

• Experience with data governance, classification, or data lifecycle management systems

• Understanding of privacy regulations such as GDPR and CCPA, and the ability to translate legal requirements into technical designs

• Experience conducting privacy reviews, threat modeling, or risk assessments

• Written and verbal communication skills sufficient to build alignment across engineering, research, legal, and product teams

Preferred qualifications

• Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation)

• Experience building privacy infrastructure or controls for machine learning or AI systems

• Experience establishing a privacy engineering practice, or being an early hire in a function

• Experience with distributed systems and cloud infrastructure at scale

• Experience serving as a technical lead on complex, multi-quarter projects

• Contributions to open-source privacy tooling, privacy research, or industry standards

• 12+ years of experience in a software engineering role, including building and operating large-scale infrastructure

• 3+ years of experience leading large, complex projects as a technical lead

About the team + role

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.

The Privacy Engineering team’s mission is to protect the trust of our customers by embedding privacy into every layer of Robinhood’s technology and culture. We collaborate across Engineering, Product, Legal, and Compliance to make sure privacy, data governance, and security are integral to every initiative.

As a Privacy Engineer, you’ll lead privacy reviews, guide the design of privacy-enhancing technologies, and help scale our privacy-by-design programs — while also championing the use of AI and agentic tooling to transform how the team runs privacy operations and processes.

This role is based in our New York, NY office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Conduct detailed privacy architecture reviews to identify potential risks, recommend controls, and ensure privacy-by-design is built into every technical layer
• Partner with Engineering, Product, Legal, and Compliance to implement privacy-by-design in systems, applications, and workflows from inception to launch
• Build and use AI agents and sub-agents to automate and scale privacy operations
• Guide the selection and deployment of privacy-enhancing technologies (PETs), ensuring alignment with our technical architecture and regulatory requirements
• Advise stakeholders and adjust practices to maintain compliance in alignment with development in global privacy regulations, standards, and technologies
• Lead internal efforts to share best practices and increase awareness of privacy principles across engineering and technical teams

What you bring

• You have a Bachelor’s or Master’s degree in Computer Science, Information Systems, Cybersecurity, or a related technical field
• You bring 2+ years of experience in data privacy, security, or privacy engineering, including hands-on work with privacy architectures
• You’re highly proficient with AI, with hands-on experience building and utilizing agents and sub-agents to solve real operational or technical problems
• You’ve managed both technical and operational processes at the same time, and know how to prioritize when things move fast
• You’re familiar with regulatory frameworks like GLBA, GDPR and CCPA and understand how to apply them to technical systems
• You’ve worked with privacy-enhancing technologies and understand data anonymization and secure data lifecycle practices
• You’re a clear communicator who builds strong cross-functional partnerships, including with legal teams, and can explain complex technical topics to both technical and non-technical stakeholders

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

TechOp Solutions International is seeking a Privacy Analyst to support DHS’ privacy compliance and information-governance. The Privacy Analyst will work with privacy officials, system owners, cybersecurity personnel, program offices, and other stakeholders to assess systems and data practices, document privacy requirements, and support the development and maintenance of federal privacy compliance artifacts.

Key Responsibilities

• Support the preparation, review, and maintenance of Privacy Threshold Analyses (PTAs), Privacy Impact Assessments (PIAs), System of Records Notices (SORNs), and related privacy documentation.
• Identify and document the collection, use, maintenance, sharing, retention, and disposal of personally identifiable information.
• Translate technical and operational information into clear, accurate privacy compliance documentation.
• Review privacy documentation for completeness, consistency, accuracy, and compliance with applicable federal and departmental requirements.
• Identify potential privacy risks and assist stakeholders in documenting appropriate mitigation measures.
• Maintain accurate assessment records, status reports, trackers, and supporting documentation.
• Handle sensitive information with accuracy, discretion, and confidentiality.

Requirements

• Bachelor’s degree in cybersecurity, information systems, information technology, public policy, legal studies, business, or a related field. Relevant experience may be considered in place of a degree.
• At least two years of experience supporting one or more of the following areas:
• Privacy compliance
• Information governance
• Cybersecurity governance, risk, and compliance
• Risk Management Framework or authorization activities
• Information-system security
• Experience gathering, analyzing, and documenting technical or operational requirements.
• Understanding of personally identifiable information(PII), data flows, access controls, information sharing, retention, and privacy risk.
• Strong analytical, research, writing, editing, and organizational skills.
• Ability to manage multiple assessments and documentation requirements simultaneously.
• U.S. citizenship and ability to satisfy applicable federal background investigation, suitability, or security requirements.

Preferred Qualifications

• Direct experience preparing or reviewing PTAs, PIAs, SORNs, or similar federal privacy compliance artifacts.
• Experience supporting the Department of Homeland Security.
• Experience with the NIST Risk Management Framework and NIST SP 800-53 security and privacy controls.
• Previous experience as a privacy analyst, system analyst, ISSO, security control assessor, RMF analyst, or federal GRC analyst.
• Knowledge of the Privacy Act of 1974, E-Government Act privacy requirements, Fair Information Practice Principles, and federal privacy policy.

Junior Privacy Analyst

TechOp Solutions International is seeking a Junior Privacy Analyst to support DHS’ privacy compliance. The Junior Privacy Analyst will assist with information gathering, privacy documentation, assessment tracking, stakeholder coordination, research, and quality control.

This position is well suited for an early-career privacy, cybersecurity, GRC, RMF, information-systems, or federal compliance professional with strong research and writing skills.

Key Responsibilities

• Assist with the maintenance of PTAs, PIAs, SORNs, and related privacy documentation.
• Capture and organize information concerning systems, business processes, data collection, data sharing, user access, retention, and security safeguards.
• Research system documentation, policies, authorities, and existing privacy materials.
• Review documents for completeness, consistency, formatting, grammar, and internal quality standards.
• Track assessments, action items, stakeholder responses, revisions, approvals, and deadlines.
• Identify missing or conflicting information and elevate questions to senior analysts.
• Assist with status reports, metrics, inventories, and other program documentation.
• Protect sensitive information and follow applicable privacy and information-handling requirements.

Requirements

• A High School Diploma with at least 2 years of experience in a professional setting.
• Strong organizational skills.
• Ability to understand and document technical and operational information.
• Familiarity with personally identifiable information and responsible information handling.
• Ability to follow established templates, procedures, and quality-control standards.
• Proficiency with Microsoft Word, Excel, Outlook, Teams, and related business applications.
• U.S. citizenship and ability to satisfy applicable federal background investigation, suitability, or security requirements.

Preferred Qualifications

• Bachelor’s degree in cybersecurity, information systems, information technology, public policy, legal studies, business, or a related field. Relevant experience may be considered in place of a degree.
• At least one year of experience/education/and or training in one or more of the following areas:
• Privacy or information governance
• Cybersecurity compliance
• RMF or authorization support
• Governance, risk, and compliance
• System analysis
• Records or information management
• Technical documentation
• Familiarity with NIST Risk Management Framework, or NIST SP 800-53 controls.

About the Role

Veeam is seeking a highly technical, hands-on Director of Engineering - PrivacyOps to lead the development of our core privacy-related product suite. This leader will manage multiple cross-functional modules responsible for the end-to-end delivery of products that define the PrivacyOps category.

You will provide overarching leadership for the Securiti Product Suite. You will define the technical vision, ensure architectural consistency across all modules, and drive operational excellence for a portfolio that ncludes Cookie Consent, Assessments, DSR Fulfillment, Breach Management, and Privacy Notices. In this role, you will work in close partnership with established, senior engineering leads who manage specific products within the suite. Your focus will be on ross-team strategy, unified architectural standards, and tight collaboration with Product Management to ensure a cohesive platform experience.

What You’ll Do

• Hands-on Technical Direction: Actively participate in architectural reviews and code sessions, ensuring that our systems of engagement, automation, and record are scalable and reliable
• Engineering Innovation:
  • Build an AI-first engineering practice, leveraging tools like Cursor, Copilot, and custom agents to standardize code quality, improve security, and accelerate development cycles
  • Own the architecture and roadmap for a scalable, high-performance integration and connector framework that powers our privacy product suite across diverse SaaS, IaaS, and AI platforms
• Product Support:
  • Represent engineering in key customer interactions
  • Improve support to the customer engagement functions
• Product Delivery: Work closely with our distributed PrivacyOps leadership in driving the roadmap for critical PrivacyOps modules, including:
  • DSR Automation: Implementing robotic automation to fulfill data subject requests quickly and reliably.
  • Consent Lifecycle Management: Managing complex cookie consent, mobile consent and user preferences across various jurisdictions.
  • Assessment Automation: Streamlining internal and vendor privacy risk assessments.
  • Breach & Notice Management: Automating incident response and real-time privacy notice updates.
• Product Management Partnership: Collaborate deeply with Product Management and facilitate better interactions to align engineering execution with the overarching business strategy for the Securiti platform
• Strategic Engineering Leadership: Mentor and partner with senior engineering leads to scale the Securiti Product Suite, fostering a culture of technical excellence and cross-functional agility

What You’ll Bring

• Technical Proficiency: Proven experience with Go and/or Python, specifically for building high-concurrency, high-throughput backend systems
• Distributed Systems Expertise: Strong background in microservices, REST/GraphQL APIs, and message brokers (e.g., Kafka or RabbitMQ) for building resilient SaaS platforms
• Developer Platforms: Experience leading SDKs or integration platform development, with a focus on normalizing data and metadata for downstream compliance and security use cases
• AI-Driven Development: Hands-on experience with AI-assisted development workfl ows and the judgment to implement guardrails for team productivity
• Leadership Experience: Proven track record of managing and growing high-performing engineering teams in a fast-paced environment
• Privacy Expertise: Deep understanding of PrivacyOps philosophies and global privacy regulations (GDPR, CCPA, etc.)
• Execution Mindset: Ability to balance hands-on technical contribution with strategic organizational leadership

As a Senior Privacy Engineer on the Security and Privacy GRC team, you will shepherd and grow Roblox's Privacy Review Program, the technical and process backbone that ensures privacy is engineered into every product before it ships. You will join the Security and Privacy GRC team, reporting to the Sr Engineering Manager for Privacy Governance and Operations. This is a hands-on privacy engineering role: you'll set standards for privacy-enhancing technologies, act as the go-to SME for policy-as-code, and partner closely with Product teams, Trust & Safety, Legal, and Regulatory Compliance as part of Roblox's broader cross-functional privacy program.

You will:

• Shepherd and evolve the Privacy Review Program, designing consistent intake workflows, evaluation criteria, and documentation to systematically assess privacy risk across new products, features, and infrastructure changes.
• Develop standards and guidelines that enable product teams to adopt privacy-enhancing technologies (PETs) such as differential privacy, k-anonymity, data minimization, and secure computation, with clear guidance on trade-offs and implementation patterns.
• Act as the Privacy SME for policy-as-code, translating privacy requirements and regulatory obligations into automated, enforceable controls embedded directly into engineering workflows and infrastructure.
• Partner cross-functionally with Regulatory Compliance, Trust & Safety, and Legal to align Privacy Review Program outcomes with broader compliance obligations and evolving global privacy frameworks.
• Drive privacy-by-design adoption across product and engineering organizations through self-service tooling, consultation, and scalable enablement programs.
• Communicate privacy risk posture and program health to product stakeholders and cross-functional partners, turning complex technical findings into clear, actionable guidance.

You have:

• 5+ years of relevant professional experience in privacy engineering, privacy program management, or a related security/compliance discipline.
• Experience owning or significantly shaping a privacy review process, privacy governance function, or equivalent, including designing review workflows, managing stakeholder intake, and driving decisions to closure.
• Deep expertise in privacy-enhancing technologies (PETs), such as differential privacy, homomorphic encryption, k-anonymity, federated learning, and secure multi-party computation; and sound judgment about their real-world trade-offs in production environments.
• Experience identifying and mitigating privacy vulnerabilities in data systems, including identifiability risks such as inference, linkage, and homogeneity attacks, and other privacy risks more broadly.
• Hands-on experience with policy-as-code tooling for automating compliance enforcement in engineering pipelines (e.g., OPA/Rego, Cedar, or similar policy engines).
• Strong understanding of global data protection regulations, including GDPR, CCPA/CPRA, COPPA, and LGPD; and the technical implications of each for product and infrastructure design.
• Demonstrated ability to drive alignment across engineering, legal, policy, and compliance stakeholders without direct management authority.
• Bachelor's degree or equivalent experience in Computer Science, Information Security, or a similar technical field.

You are:

• A skilled translator: You articulate technical privacy trade-offs to legal and compliance audiences, and unpack regulatory requirements clearly for engineering teams.
• Organized and process-oriented: You manage multiple concurrent program tracks with precision and accountability in a fast-moving environment.
• Comfortable with ambiguity: You build structure and rigor where little exists, take ownership of outcomes, and know when to drive autonomously versus escalate.
• Collaborative: You move work forward across teams you don't directly manage and build trust quickly with diverse stakeholders.
• Genuinely invested in user privacy: You see it as a core product and platform value, not a compliance formality, and you make the case for it compellingly.

Our client, a global technology company, is seeking an experienced CONTRACT Program Manager, Business & Regulatory Investigations to support a worldwide legal and investigations organization focused on advancing AI adoption and operational excellence. Reporting into a global program leadership team, this individual will help implement AI-enabled investigative workflows, improve case management and reporting processes, drive operational excellence, and coordinate cross-functional stakeholders across legal, compliance, and investigative functions. The ideal candidate brings deep program management experience, strong communication skills, and a proven track record of implementing AI and automation within complex, highly regulated environments. This is a 10-month contract with the potential to extend, working 40 hours per week. The position is based in Redmond, WA and follows a hybrid schedule, requiring three days onsite in office. Key Responsibilities AI & Data Enablement

• Support integration between case management platforms and reporting dashboards for investigations, recovery efforts, and fraud initiatives
• Manage CRM tagging, data quality, workflows, reporting, and leadership updates alongside engineering and program teams
• Pilot and expand AI-enabled processes for intake, document preparation, regulatory monitoring, evidence management, and status reporting
• Partner with forensic and digital investigation teams to improve workflows, create dashboards, and develop supporting documentation
• Establish quality metrics and continuous improvement processes for AI-enabled operations
• Utilize Microsoft 365 technologies, including Copilot and related productivity and automation tools

Operational Excellence

• Maintain consistent processes for intake, case management, investigations, reporting, and case closure
• Coordinate review meetings and ensure action items, ownership, and deadlines are clearly documented
• Prepare dashboards, executive updates, regulatory response materials, reports, and closure documentation
• Coordinate work across legal professionals, investigators, advisors, and other stakeholders to meet shared objectives
• Identify potential risks early and provide leadership with recommendations and mitigation options

Required Qualifications

• Significant years of program management or legal experience supporting complex legal, compliance, investigations, or risk initiatives
• Strong written and verbal communication skills with experience preparing materials for executive leadership
• Experience implementing AI, automation, or emerging technologies into operational environments
• Ability to translate legal, regulatory, or policy requirements into practical operational processes
• Demonstrated judgment and discretion handling confidential or privileged information
• Bachelor's degree or equivalent professional experience

Preferred Qualifications

• Experience with AI and agentic workflows, including prompt engineering, retrieval-augmented generation, evaluation, and human review
• Background supporting internal investigations, regulatory inquiries, anti-corruption, FCPA, or similar programs
• Familiarity with case management systems, eDiscovery, and forensic evidence processes
• Working knowledge of modern tools such as Git, Azure DevOps, Python, scheduled automation, or evaluation frameworks
• Experience with Microsoft 365, SharePoint, evidence management, or comparable enterprise platforms
• Advanced degree such as a JD or MBA preferred but not required

#LI-HYBRID #LI-BJ1 Job ID: 7595

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

You will report to Compliance and Privacy Director

1. Privacy Platform Management

• Own and optimize privacy platforms, ensuring they are accessible, compliant, and user-friendly for diverse consumer populations.
• Partner with Legal, Compliance, IT, and business teams to maintain effective privacy tools and workflows.

2. Consumer Rights & Experience

• Ensure consumer rights requests are handled fairly, transparently, and in compliance with applicable regulations.
• Continuously improve the Privacy Center experience to support accessibility and inclusion for all users.

3. Monitoring & Reporting

• Track performance metrics, compliance deadlines, and operational effectiveness.
• Provide insights that drive continuous improvement and equitable customer experiences.

4. Project & Enhancement Delivery

• Lead privacy tool enhancements and cross-functional projects.
• Translate regulatory requirements into actionable business and technical solutions.

5. Risk & Compliance Support

• Support audits, control assessments, and compliance reviews.
• Find and address risks while maintaining governance practices.

6. Stakeholder & Vendor Partnership

• Collaborate with internal partners and external vendors to ensure privacy solutions meet business and customer needs.
• Foster inclusive collaboration across teams and functions.

7. Continuous Improvement

• Resolve operational issues, improve processes, and increase automation.
• Promote scalable solutions that enhance efficiency and user experience.

8. Documentation & Governance

• Maintain clear process documentation, standards, and operating procedures.
• Support consistent and equitable privacy operations.

9. Change Management

• Prepare the organization for privacy-related regulatory and policy changes.
• Coordinate testing, communication, and adoption of new processes and tools.

10. Training & Awareness

• Be a subject matter expert on privacy operations and consumer rights.
• Support training and knowledge sharing to build awareness and inclusive privacy practices across the organization.

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Qualifications

• 6–10+ years in privacy, compliance, or data operations
• Experience managing consumer rights workflows (DSARs, opt-outs, deletion)
• Experience with privacy platforms (e.g., OneTrust, TrustArc, Transcend) and consent/DSAR tools
• Working knowledge of U.S. privacy laws (CPRA, VCDPA, etc.) and consumer rights requirements
• Manage SLAs, track KPIs, and improve workflows through data-driven insights
• 5+ years of experience supporting audits, controls, and compliance processes
• Experience coordinating cross-functional initiatives and translating requirements for technical teams
• Stakeholder management across Legal, Compliance, IT, and business teams

Additional Information

Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.

Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

 

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.

This role offers the flexibility to work from home as needed.

#LI-Remote. This is a remote position.

Our client, a top Am Law firm, is seeking an eDiscovery Advisor to join their stellar team. This is a role for an experienced attorney who will provide both strategic and tactical support, advising on tools, assisting with fact development, diving deep to determine what’s in the data, and handling complex privilege work. This role will leverage the breadth of advanced tools and approaches to advise case teams on options to proceed with document review workflows and/or additional model training. This is a role for a confident contributor, ready to counsel on TAR/CAL and other advanced analytics, strategize on the design and application of complex workflows, and oversee the optimization and management of projects. The ideal candidate will have significant hands-on experience with leading eDiscovery review projects with an emphasis on complex search construction and results validation as well as the design of optimized review workflows including document batching. Candidates should be comfortable being a leader/owner on some matters, and a team contributor on others. All applicants must be licensed to practice law, and this is a largely remote position. What You’ll Do

• Discovery Lifecycle Management – Oversees end-to-end discovery processes across large, complex litigation matters, from investigation and review to production and trial preparation
• Review Oversight & Execution – Coordinates review team onboarding, training, and quality assurance; support substantive review, privilege logging, and fact development under attorney direction
• Workflow Optimization – Designs and implements review workflows using leading tools and protocols, including batching strategies, TAR (technology-assisted review), and defensible search methodologies
• Project Coordination – Defines scope, tracks progress, leads meetings, and communicates across internal teams, outside counsel, vendors, and clients to keep projects on schedule and within budget
• Analytics & Reporting – Analyzes and summarizes review findings; provides metrics, identifies gaps, flags key documents, and helps case teams prepare for depositions and trial
• Technology Enablement – Provides hands-on support in Relativity and other platforms; assists with privilege logs, advanced searches, QC, and custom litigation support tools
• Knowledge Sharing – Supports team development through training, internal documentation, and contributions to department publications and presentations
• Special Projects – Executes technical and consulting support for unique or urgent client and case team requests as needed

What You’ll Bring

• Education – Juris Doctorate (JD) required
• Experience – Significant experience supporting complex document review projects and managing discovery across large-scale litigation
• Litigation & eDiscovery Expertise – Deep knowledge of the litigation lifecycle, eDiscovery protocols, and best practices from data preservation through trial
• Technical Proficiency – Extensive hands-on experience with Relativity and other major eDiscovery platforms; strong skills in search construction, results validation, and review design
• Review Strategy & Analytics – Familiarity with TAR, analytics tools (e.g., BrainSpace, NexLP), and protocols such as CAL/CMML to drive review efficiency and quality
• Team Leadership – Proven ability to manage and train contract attorneys, guide review teams, and deliver clear feedback and guidance
• Communication & Problem Solving – Strong interpersonal and communication skills; ability to adapt quickly, troubleshoot effectively, and provide proactive solutions
• Project Management – Ability to manage multiple deadlines, stakeholders, and shifting requirements in a fast-paced environment
• Flexibility & Commitment – Willingness to support after-hours work, weekends, and occasional travel based on project demands

Expected salary for this role is $155,000 - $200,000, commensurate with experience, training, skills, qualifications, and other market factors. #LI-MS1 #LI-REMOTE Job ID: 7577

The Challenge

OneTrust is seeking a talented Product Marketing Manager to support product marketing for the AI Governance solution. As a Product Marketing Manager, you will serve as a key liaison between the product management, marketing, and sales organizations and our customers. You will work cross-functionally and leverage both technical and storytelling skills to drive messaging, create content, and launch products to enable sales teams and help drive product adoption. These efforts will be guided by the go-to-market strategy for AI Governance, which you will help shape and execute in partnership with the Director of Product Marketing and cross-functional stakeholders.

Your Mission

Voice of the Customer

• OneTrust offers a comprehensive AI Governance solution designed to help organizations govern, operationalize, and scale responsible AI across their ecosystem. Your mission is to deeply understand the ICP and buyer personas for AI Governance, including their business challenges, goals, motivators, and market trends.
• Develop an informed point of view on our AI Governance solution and synthesize customer, field, and market feedback to help inform messaging, launches, and product direction.

Messaging & Positioning

• Articulate the product and capability value proposition clearly and convincingly, highlighting what will deliver the most impact and value for your buyer personas. Ensure buy-in from stakeholders across the organization.
• Help communicate AI Governance within OneTrust’s broader platform while communicating OneTrust’s unique perspective on AI Governance to internal and external audiences.
• Create compelling customer materials, including pitch decks, product datasheets, case studies, battlecards, and training resources.

Go-to-Market Strategy & Execution

• Partner on a GTM strategy for AI Governance product launches and release moments that will improve product adoption and growth, while continuously refining ICP, use-case fit, and market readiness.
• Execute that strategy by driving cross-functional alignment to support successful product launches.
• Work closely with Sales to ensure they are equipped with the latest product knowledge and sales guidance. Enable them to act as trusted advisors to our prospects and customers, ensuring they can clearly articulate how our AI Governance solution addresses customer pain points and adds business value.

Market and Competitive Analysis

• Work with the Competitive team to conduct thorough market research and competitive analysis to inform product and marketing strategies. Regularly update the team on key industry trends, competitor moves, and market opportunities.
• Support analyst relations for AI Governance, including briefing prep, survey inputs, narrative development, follow-up materials, and other solution-level assets that help scale analyst engagement.

Demand Generation Support

• Work closely with the demand generation and content teams to develop and execute demand generation campaigns that drive awareness and lead generation.

Customer Advocacy

• Foster strong relationships with key customers to gather insights, develop case studies, support advisory board efforts, and create advocates in the industry.

Leadership and Influence

• Given the cross-functional nature of the role, must possess strong collaboration skills to foster alignment and orchestrate efforts across diverse teams — product, marketing, sales, customer success, and more.
• Moreover, the role must be capable of influencing without authority, driving clarity and momentum across multiple stakeholders and initiatives.

You Are

• BA/BS degree in marketing, business, or engineering equivalent
• 5+ years of product marketing experience at a SaaS or other high-tech company
• Highly collaborative with a deep sense of ownership and accountability
• Experience with stakeholder management, influencing and managing multiple stakeholders internally
• Demonstrated customer-centric mindset with empathy for users and buyers, translating their needs into effective messaging and go-to-market plans
• Proficient in data-driven decision-making and analytics
• Strong technical competence with a solid understanding of the domain and product design
• Exceptional communication and presentation skills, articulating complex technical concepts to diverse audiences
• Comfort supporting competitive intelligence and analyst relations for a product or solution area
• Comfort using AI tools to accelerate research, content development, and workflow execution, with good judgment around oversight and governance
• Experience marketing AI, governance, risk, compliance, security, or data governance solutions, with a strong understanding of how AI is transforming B2B organizations. Knowledge of or experience with AI Governance solutions is a plus.

The Challenge

OneTrust is seeking a talented Product Marketing Manager to support product marketing for the AI Governance solution. As a Product Marketing Manager, you will serve as a key liaison between the product management, marketing, and sales organizations and our customers. You will work cross-functionally and leverage both technical and storytelling skills to drive messaging, create content, and launch products to enable sales teams and help drive product adoption. These efforts will be guided by the go-to-market strategy for AI Governance, which you will help shape and execute in partnership with the Director of Product Marketing and cross-functional stakeholders.

Your Mission

Voice of the Customer

• OneTrust offers a comprehensive AI Governance solution designed to help organizations govern, operationalize, and scale responsible AI across their ecosystem. Your mission is to deeply understand the ICP and buyer personas for AI Governance, including their business challenges, goals, motivators, and market trends.
• Develop an informed point of view on our AI Governance solution and synthesize customer, field, and market feedback to help inform messaging, launches, and product direction.

Messaging & Positioning

• Articulate the product and capability value proposition clearly and convincingly, highlighting what will deliver the most impact and value for your buyer personas. Ensure buy-in from stakeholders across the organization.
• Help communicate AI Governance within OneTrust’s broader platform while communicating OneTrust’s unique perspective on AI Governance to internal and external audiences.
• Create compelling customer materials, including pitch decks, product datasheets, case studies, battlecards, and training resources.

Go-to-Market Strategy & Execution

• Partner on a GTM strategy for AI Governance product launches and release moments that will improve product adoption and growth, while continuously refining ICP, use-case fit, and market readiness.
• Execute that strategy by driving cross-functional alignment to support successful product launches.
• Work closely with Sales to ensure they are equipped with the latest product knowledge and sales guidance. Enable them to act as trusted advisors to our prospects and customers, ensuring they can clearly articulate how our AI Governance solution addresses customer pain points and adds business value.

Market and Competitive Analysis

• Work with the Competitive team to conduct thorough market research and competitive analysis to inform product and marketing strategies. Regularly update the team on key industry trends, competitor moves, and market opportunities.
• Support analyst relations for AI Governance, including briefing prep, survey inputs, narrative development, follow-up materials, and other solution-level assets that help scale analyst engagement.

Demand Generation Support

• Work closely with the demand generation and content teams to develop and execute demand generation campaigns that drive awareness and lead generation.

Customer Advocacy

• Foster strong relationships with key customers to gather insights, develop case studies, support advisory board efforts, and create advocates in the industry.

Leadership and Influence

• Given the cross-functional nature of the role, must possess strong collaboration skills to foster alignment and orchestrate efforts across diverse teams — product, marketing, sales, customer success, and more.
• Moreover, the role must be capable of influencing without authority, driving clarity and momentum across multiple stakeholders and initiatives.

You Are

• BA/BS degree in marketing, business, or engineering equivalent
• 5+ years of product marketing experience at a SaaS or other high-tech company
• Highly collaborative with a deep sense of ownership and accountability
• Experience with stakeholder management, influencing and managing multiple stakeholders internally
• Demonstrated customer-centric mindset with empathy for users and buyers, translating their needs into effective messaging and go-to-market plans
• Proficient in data-driven decision-making and analytics
• Strong technical competence with a solid understanding of the domain and product design
• Exceptional communication and presentation skills, articulating complex technical concepts to diverse audiences
• Comfort supporting competitive intelligence and analyst relations for a product or solution area
• Comfort using AI tools to accelerate research, content development, and workflow execution, with good judgment around oversight and governance
• Experience marketing AI, governance, risk, compliance, security, or data governance solutions, with a strong understanding of how AI is transforming B2B organizations. Knowledge of or experience with AI Governance solutions is a plus.

The Mission

OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI-Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.

The Challenge

We are hiring a Senior Staff DevOps Engineer to join our Detect & Discover (D&D) team. This team owns three product lines — Data Discovery, Privacy Automation, and AI Governance — serving thousands of enterprise customers across multi-cloud and on-premises environments.

In this role, you will lead the infrastructure strategy for our Kubernetes-based on-premises platform and cloud deployments. This includes architecting automated worker node deployments for Azure Marketplace, AWS Marketplace, and GCP; driving container-hardening initiatives to systematically eliminate CVEs; and ensuring the reliability, scalability, and security of our distributed scanning and classification platform. You will act as a technical leader, mentoring engineers and collaborating closely with product security, engineering squads, and customer-facing teams.

Your Mission

• Kubernetes Platform Architecture: Architect and maintain production-grade Kubernetes platforms across cloud (AKS, EKS, GKE) and on-premises (K3s, microk8s) environments. Own the full lifecycle — cluster provisioning, upgrades, node pool management, and disaster recovery.
• Deployment Automation & Marketplace Publishing: Develop and maintain automation using Helm, ARM templates, BICEP, Terraform, and CloudFormation to streamline worker node provisioning on Azure Marketplace, AWS Marketplace, and Reduce customer setup complexity so clients don't need advanced Kubernetes expertise on-site.
• Container Hardening & Vulnerability Management: Lead our container-hardening program by adopting secure base images for distributed components including Kafka, PostgreSQL, Elasticsearch, Temporal and Vault. Own the systematic reduction of CVEs flagged by Vulnerability Scanners.
• CI/CD & Release Engineering: Maintain and improve CI/CD pipelines ensuring zero-downtime deployments, automated rollbacks, and full auditability. Drive GitOps practices, Improve DevEx and infrastructure-as-code across the team.
• Observability & Platform Reliability: Design monitoring, alerting, diagnostics, and self-healing capabilities using Datadog, Loki, Promtail. Ensure the platform is optimized for performance, logarithmic cost growth, and high-throughput scaling across thousands of tenant environments.
• Incident Response & Production Support: Lead incident investigations, root cause analysis, and long-term remediation for production service interruptions. Participate in on-call rotation and drive systemic fixes to prevent recurrence.
• Mentorship & Technical Leadership: Mentor engineers, drive DevOps best practices across teams, and raise the technical bar for infrastructure engineering quality.

You Are

• A hands-on technical leader with strong analytical and problem-solving skills and a passion for high-quality infrastructure engineering.
• Technically curious and self-motivated, able to self-teach new technologies and prioritize complex tasks in a fast-paced environment.
• A collaborative partner who works seamlessly with security teams, software developers, and product managers to drive alignment on infrastructure standards.
• Someone who thrives in ambiguous environments, takes ownership of complex technical challenges, and influences across teams without direct authority.
• An encouraging mentor who enjoys upskilling engineers and continuously improving reliability, automation, and customer experience.

Your Experience Includes

• Education: Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Experience: 8+ years in DevOps, SRE, or Platform Engineering roles.
• Container Orchestration: Expert knowledge of Kubernetes, Helm, Linux, Docker, and networking
• Multi-Cloud Platforms: Strong working knowledge of Azure, AWS, and GCP, with specific depth in at least one.
• Automation & Scripting: Proficiency in Go and/or Python, plus Bash/Shell scripting for infrastructure automation and integrations.
• CI/CD & GitOps: Deep understanding of CI/CD pipelines (GitLab or similar), GitOps workflows, and infrastructure-as-code methodologies.
• Databases & Messaging: Experience with PostgreSQL, Elasticsearch, and distributed messaging systems (Apache Kafka, NATS).
• Security & Compliance: Experience with security scanning, container image hardening, and vulnerability remediation in enterprise environments.
• Production Operations: Experience supporting enterprise production environments and handling customer escalations.
• Methodologies: Prior experience working in Agile/Scrum enterprise software development.
• Communication: Excellent verbal and written communication and technical leadership skills.

Extra Awesome

• Experience building and publishing B2B enterprise software on Azure Marketplace, AWS Marketplace, or GCP Marketplace.
• Proven experience with Chainguard or other minimal, hardened container distributions for software supply chain security.
• Experience with on-premises enterprise software deployments (K3s, microk8s, airgapped environments).
• Familiarity with Temporal workflow orchestration or similar durable execution frameworks.
• Prior exposure to MLOps methodologies, including model versioning, pipeline auditability, and AI asset discovery.
• Experience with service meshes, Kubernetes operators, and AI-assisted operations.

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Associate Privacy Counsel

We are looking for a driven and enthusiastic Associate Privacy Counsel to join our Global DPO Office in Amsterdam. In this role, you will act as the operational hub of our global data protection program, taking ownership of critical day-to-day privacy workflows and driving the scalability of our compliance processes.
You will have a direct impact on shaping core privacy operations, implementing automated solutions, and fostering the highest standards of trust with our users. We are looking for a professional with a 'builder' mindset to join our team. In this role, you will be shaping the foundation. You will get excellent exposure to strategic advisory and complex regulatory challenges, driving decisions that directly impact our platform, business, and global merchants.

What You Will Do

• Act as a first point of contact for day-to-day privacy enquiries from internal stakeholders, customers and other external parties.
• Coordinate and triage incoming privacy requests, facilitating timely responses and appropriate escalation where required.
• Support the handling of data subject rights requests and privacy incidents from initial intake through resolution.
• Assist business teams in navigating privacy processes and completing required privacy documentation.
• Help maintain privacy governance documentation, including processing records, knowledge resources and privacy notices.
• Support operational privacy assessments, including Legitimate Interest Assessments (LIAs), Transfer Impact Assessments (TIAs) and other privacy reviews.
• Partner with Legal and cross-functional teams to provide practical privacy support across commercial and corporate initiatives.
• Help maintain privacy tooling and governance platforms (e.g. OneTrust) and verify that records remain accurate and up to date.
• Support privacy compliance activities by coordinating evidence, tracking actions and assisting with internal and external audit requests.
• Contribute to the effective day-to-day operation of the DPO Office through coordination, administration and continuous maintenance of privacy processes.
• Leverage AI enablement tools to actively automate queues, streamline workflows, and drive operational efficiency.

Who You Are

• 3+ years minimum of relevant privacy experience including working with GDPR and operational privacy compliance in the payments, financial services or fintech sector is beneficial.
• Working in an in-house legal or privacy team is preferred; experience in a privacy consultancy or law firm is also valued.
• Familiarity with privacy management platforms such as OneTrust is an advantage.
• Exposure to privacy laws beyond the EU (e.g. the US including CCPA/CPRA, Latin America, Middle East & Africa or other global privacy frameworks) is considered a plus.
• You possess an exceptional level of organizational skill, a proactive mindset, and a strong sense of ownership.
• You have a high receptiveness to utilizing and training AI tools to automate your own workflows and scale operations.
• Knowledge of emerging frameworks such as the EU AI Act and AI Governance is highly desired.
• Strong ability to translate complex legal and privacy concepts into practical, actionable guidance for business partners who may not have a legal background.
• Excellent written and spoken English, with strong drafting and communication skills.

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Our client, a global AmLaw firm, is looking to add a Legal Process Engineer to its legal operations team on a contract-to-hire basis. This role supports attorneys across all practice groups with data analysis projects, including class action list analysis, incident response data analysis, and other litigation and practice support requests. The successful applicant must have advanced Excel skills (including Power Query/ETL process), and strong analytical abilities. Experience with SQL and cube requests is helpful. Candidates should also have experience in a law firm or legal services environment. The team is looking for someone who is detail-oriented, communicates well with attorneys and teammates, and can hit the ground running. This is a remote opportunity, however candidates should live within commutable distance to any of our client's offices.     #LI-REMOTE #LI-MS1 Job ID: 7592

Our client, a leading Am Law firm, is seeking an experienced Paralegal Senior Manager to lead its Chicago-based Paralegal and Project Assistant team supporting approximately 500 attorneys across multiple practice areas. This highly visible leadership role partners closely with firm leadership and Human Resources to oversee staffing, performance management, recruiting, onboarding, professional development, utilization, and department operations while driving consistency across offices. The ideal candidate is a collaborative people leader with experience managing large professional services teams, building strong relationships with attorneys and business professionals, and leading operational initiatives in a fast-paced environment. This position offers long-term growth potential into a broader Litigation Practice Support leadership role. Hybrid schedule (3 days onsite weekly) in Chicago, IL. Responsibilities

• Leadership & Operations
• Lead the day-to-day management of the Chicago Paralegal and Project Assistant department
• Supervise the Paralegal Supervisor and oversee paralegal and project assistant staff
• Collaborate with peer managers across offices to promote consistent policies and best practices
• Develop departmental plans and operational priorities to address staffing and resource needs
• Build strong relationships with attorneys, administrative leaders, and business professionals
• Promote collaboration and communication across practice groups and support teams
• Partner with leadership and Human Resources on workforce planning and staffing strategies
• Participate in recruiting, interviewing, and hiring paralegals and project assistants
• Manage onboarding and integration of new employees
• Oversee onboarding and ongoing training programs for Project Assistants
• Evaluate training needs and support continuing education initiatives

Performance Management

• Lead the annual performance review and compensation process
• Collect attorney feedback and prepare performance evaluations
• Provide compensation recommendations and conduct review meetings
• Coach employees, address performance concerns, and oversee performance improvement plans
• Support employee engagement, recognition, and professional development initiatives

Resource Management & Reporting

• Oversee department technology programs supporting litigation and practice support services
• Monitor utilization, productivity, and staffing through regular reporting
• Track billable hours and workload distribution across the department
• Coordinate staffing assignments to balance workloads and client needs
• Oversee departmental timekeeping and attendance reporting
• Ensure compliance with firm policies and employment requirements
• Perform additional responsibilities as assigned

Required Qualifications

• Bachelor's degree
• Several years of professional services or related experience
• Several years managing teams with at least 15 direct and/or indirect reports
• Strong written and verbal communication skills
• Ability to build relationships across multiple levels of an organization
• Demonstrated leadership, coaching, and employee development experience
• Strong organizational, analytical, and problem-solving abilities
• Ability to manage multiple priorities in a fast-paced environment
• High level of discretion and confidentiality

Preferred Qualifications

• Experience working within a law firm or legal environment
• Familiarity with legal services technologies

Expected salary for this exempt role is $175,000 - $250,000, commensurate with experience, training, skills, qualifications, and other market factors. #LI-HYBIRD #LI-MS1 Job ID: 7594

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.

This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.

Responsibilities:

• Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
• Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
• Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
• Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
• Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

Qualifications:

Required:

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 10+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
• Deep understanding of the ads ecosystem
• Demonstrated expertise in at least one of the following areas:
• Measurement & Experimentation at Scale (with focus on lift and attribution)
• Identity Graph Creation & Resolution Methodology and Infrastructure
• Predictive Modeling with Signal Loss
• Advanced proficiency in statistical programming (Python or R) and SQL.
• Experience with machine learning or optimization techniques
• Strong understanding of experimental design, causal inference, or A/B testing methodologies
• Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
• Experience working in fast-paced, ambiguous environments with cross-functional teams

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.

This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.

Responsibilities:

• Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
• Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
• Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
• Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
• Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

Qualifications:

Required:

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 10+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
• Deep understanding of the ads ecosystem
• Demonstrated expertise in at least one of the following areas:
• Measurement & Experimentation at Scale (with focus on lift and attribution)
• Identity Graph Creation & Resolution Methodology and Infrastructure
• Predictive Modeling with Signal Loss
• Advanced proficiency in statistical programming (Python or R) and SQL.
• Experience with machine learning or optimization techniques
• Strong understanding of experimental design, causal inference, or A/B testing methodologies
• Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
• Experience working in fast-paced, ambiguous environments with cross-functional teams

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Reddit’s Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit’s ads measurement and signal systems. This role sits at the center of how Reddit proves advertiser value, improves signal quality, builds privacy-aware measurement systems, and connects ads exposure to real advertiser outcomes.

As a Senior Staff Data Scientist for Ads Measurement, you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement ecosystem. In a landscape rapidly shifting due to privacy regulations, browser changes, and evolving platform dynamics, you will spearhead innovation across experimental design (incrementality/lift), identity, signals, and privacy-safe 1P/3P measurement.

This is a high-visibility, high-impact role requiring a rare blend of deep experimentation & causal inference expertise, strategic foresight, and the ability to influence cross-functional executives and industry standards. You will not just adapt to the changing ad-tech environment, you will redefine how we measure value.

Responsibilities

• Technical Vision & Strategy: Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products.
• Set the Cross-Pillar Measurement Science Strategy: Define the long-term data science strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products.
• Build Trusted Measurement and Evaluation Frameworks: Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement. Define ground truth, objective functions, quality metrics, guardrails, and decision frameworks that guide product and engineering investments.
• Advance Experimentation and Causal Inference at Scale: Lead the evolution of Reddit’s experimentation and lift methodologies across Brand Lift, Conversion Lift, Split Testing, and emerging measurement products. Improve study quality, reduce bias and contamination, and develop scalable diagnostics for experiment health, feasibility, and interpretability. Partner with Ads Engineering to operationalize complex causal models, ensuring that scientific methodologies are not only accurate but also performant, scalable, and resilient in high-throughput production environments.
• Connect Signals, Identity, and Ranking Outcomes: Quantify how signal quality, match rates, identity resolution, modeled conversions, and privacy changes affect bidding efficiency, CPA, ROAS, and advertiser outcomes. Partner with modeling and ranking teams to translate measurement improvements into performance gains.
• Guide Privacy-Aware Ads Measurement: Lead a privacy-first measurement paradigm, positioning Reddit as a market leader in trusted advertising by recovering signal utility through compliant modeling.
• Create Durable Data Science Infrastructure and Standards: Lead cross-org efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices. Build repeatable systems that improve how Ads DS evaluates launches, monitors regressions, sizes opportunities, and communicates impact.
• Influence Senior Cross-Functional Strategy: Partner with senior leaders across Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions. Translate complex scientific tradeoffs into clear business and product recommendations.
• Uplevel the Data Science Organization: Mentor Staff and Senior data scientists, sponsor high-impact technical work, and raise the bar for causal inference, measurement science, identity evaluation, data quality, and cross-functional decision-making across Ads DS.

Qualifications

Required

• Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field, or equivalent industry experience.
• 10+ years of industry experience in data science, applied science, economics, statistics, or a related quantitative role.
• Deep expertise in ads measurement, experimentation, causal inference, attribution, marketplace measurement, or ads optimization.
• Proven track record leading ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact.
• Strong command of statistical modeling, experimental design, causal inference, and measurement methodology.
• Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products.
• Demonstrated ability to balance long-term strategic vision with hands-on execution of complex technical ideas.
• Advanced proficiency in SQL and Python or R.
• Ability to influence senior product, engineering, and business leaders through clear technical judgment and communication.
• Demonstrated ability to mentor senior ICs and improve technical standards across a data science organization.
• Demonstrated agility in adopting AI tools to amplify your personal output, turning complex methodologies into working prototypes with modern speed and efficiency.

Preferred

• Experience with ads identity, conversion modeling, signal loss, modeled conversions, match-rate optimization, or identity graph evaluation.
• Experience with lift measurement, brand lift, conversion lift, incrementality testing, MMM, MTA, or third-party measurement partnerships.
• Experience working on privacy-constrained measurement, clean rooms, aggregation, consent-aware systems, or privacy-preserving modeling.
• Experience partnering with ranking, bidding, or machine learning teams to connect measurement quality to optimization outcomes.
• Familiarity with two-sided marketplaces, auction systems, performance advertising, or advertiser-facing measurement products.
• Experience building durable internal frameworks, training programs, scorecards, or methodology standards adopted across an organization.

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Reddit’s Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit’s ads measurement and signal systems. This role sits at the center of how Reddit proves advertiser value, improves signal quality, builds privacy-aware measurement systems, and connects ads exposure to real advertiser outcomes.

As a Senior Staff Data Scientist for Ads Measurement, you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement ecosystem. In a landscape rapidly shifting due to privacy regulations, browser changes, and evolving platform dynamics, you will spearhead innovation across experimental design (incrementality/lift), identity, signals, and privacy-safe 1P/3P measurement.

This is a high-visibility, high-impact role requiring a rare blend of deep experimentation & causal inference expertise, strategic foresight, and the ability to influence cross-functional executives and industry standards. You will not just adapt to the changing ad-tech environment, you will redefine how we measure value.

Responsibilities

• Technical Vision & Strategy: Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products.
• Set the Cross-Pillar Measurement Science Strategy: Define the long-term data science strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products.
• Build Trusted Measurement and Evaluation Frameworks: Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement. Define ground truth, objective functions, quality metrics, guardrails, and decision frameworks that guide product and engineering investments.
• Advance Experimentation and Causal Inference at Scale: Lead the evolution of Reddit’s experimentation and lift methodologies across Brand Lift, Conversion Lift, Split Testing, and emerging measurement products. Improve study quality, reduce bias and contamination, and develop scalable diagnostics for experiment health, feasibility, and interpretability. Partner with Ads Engineering to operationalize complex causal models, ensuring that scientific methodologies are not only accurate but also performant, scalable, and resilient in high-throughput production environments.
• Connect Signals, Identity, and Ranking Outcomes: Quantify how signal quality, match rates, identity resolution, modeled conversions, and privacy changes affect bidding efficiency, CPA, ROAS, and advertiser outcomes. Partner with modeling and ranking teams to translate measurement improvements into performance gains.
• Guide Privacy-Aware Ads Measurement: Lead a privacy-first measurement paradigm, positioning Reddit as a market leader in trusted advertising by recovering signal utility through compliant modeling.
• Create Durable Data Science Infrastructure and Standards: Lead cross-org efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices. Build repeatable systems that improve how Ads DS evaluates launches, monitors regressions, sizes opportunities, and communicates impact.
• Influence Senior Cross-Functional Strategy: Partner with senior leaders across Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions. Translate complex scientific tradeoffs into clear business and product recommendations.
• Uplevel the Data Science Organization: Mentor Staff and Senior data scientists, sponsor high-impact technical work, and raise the bar for causal inference, measurement science, identity evaluation, data quality, and cross-functional decision-making across Ads DS.

Qualifications

Required

• Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field, or equivalent industry experience.
• 10+ years of industry experience in data science, applied science, economics, statistics, or a related quantitative role.
• Deep expertise in ads measurement, experimentation, causal inference, attribution, marketplace measurement, or ads optimization.
• Proven track record leading ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact.
• Strong command of statistical modeling, experimental design, causal inference, and measurement methodology.
• Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products.
• Demonstrated ability to balance long-term strategic vision with hands-on execution of complex technical ideas.
• Advanced proficiency in SQL and Python or R.
• Ability to influence senior product, engineering, and business leaders through clear technical judgment and communication.
• Demonstrated ability to mentor senior ICs and improve technical standards across a data science organization.
• Demonstrated agility in adopting AI tools to amplify your personal output, turning complex methodologies into working prototypes with modern speed and efficiency.

Preferred

• Experience with ads identity, conversion modeling, signal loss, modeled conversions, match-rate optimization, or identity graph evaluation.
• Experience with lift measurement, brand lift, conversion lift, incrementality testing, MMM, MTA, or third-party measurement partnerships.
• Experience working on privacy-constrained measurement, clean rooms, aggregation, consent-aware systems, or privacy-preserving modeling.
• Experience partnering with ranking, bidding, or machine learning teams to connect measurement quality to optimization outcomes.
• Familiarity with two-sided marketplaces, auction systems, performance advertising, or advertiser-facing measurement products.
• Experience building durable internal frameworks, training programs, scorecards, or methodology standards adopted across an organization.

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

GAQ327R249

Databricks is seeking a talented and experienced privacy attorney to lead our privacy compliance program and help the Databricks legal team provide cutting-edge, practical legal advice as we navigate rapidly evolving global laws and regulations in big data — including data privacy, data protection, and AI. This role reports to the Director & Assistant General Counsel, Privacy. As the day-to-day owner of the privacy compliance program, you will be responsible for developing AI solutions for operating and maturing the controls that keep Databricks compliant, and serve as a trusted advisor to business partners across the company.

You will be agile, highly organized, and have the skills, drive, and flexibility to build and scale a program at a leading technology company, addressing cutting-edge legal issues and organizational challenges. A successful candidate will be an AI proficient builder, resourceful self-starter, comfortable working in a fast-paced and dynamic environment, and excellent at building strong relationships and driving cross-functional execution.

The impact you will have

• Program Leadership: Own day-to-day operation of the Databricks privacy compliance program. Define priorities, establish and track program metrics and KPIs, and report on program health, risks, and maturity.
• Business and Legal Judgment: Exercise practical judgment about when to approve, approve with conditions, decline, or escalate.
• Privacy Program Compliance: Lead the further development, implementation, and continuous improvement of core program components — data subject rights requests, data inventory and data mapping (ROPA), records of processing, privacy by design, and the policies and processes that make the program run. Operate and improve the effectiveness of critical privacy compliance workflows.
• End-to-End Privacy by Design & Risk Assessments: Develop privacy review processes for the full data and product lifecycle — from ideation to end of life. Improve.
• Contract Negotiation and Transactions: Draft and update form agreements, and counsel on and negotiate data protection provisions in commercial contracts, including data processing addendums (DPAs), standard contractual clauses (SCCs), and related data-transfer instruments.
• Regulatory Analysis & Engagement: Monitor, research, and evaluate the applicability and impact of global privacy and AI laws, legislation, and regulatory guidance on new business initiatives. Support responses to regulator inquiries, audits, and enforcement developments.
• Policy Development: Develop, review, and maintain privacy policies, standards, notices, and procedures to align with legal requirements and best practices.
• Process Improvement: Contribute to developing and refining the processes that improve the privacy function, and partner with your stakeholders to build scalable process improvements as the business grows.
• Cross-Functional Collaboration & Legal Partnership: Build deep cross-functional relationships and collaborate with other legal leaders in commercial, go-to-market, compliance, corporate, and public affairs on privacy issues. Own the privacy training and awareness program, delivering strategic and timely enablement to keep the organization compliant.
• Incident Response: Advise on privacy and cybersecurity issues as a member of incident response teams, including breach assessment, notification analysis, and remediation, in partnership with the Legal Product team and Security.
• Team Contribution: Provide general legal support on a flexible, as-needed basis with respect to other areas of the business, and contribute as a team player to further the legal department's reputation as an effective, respected, and valued resource within the company.

What we look for

• 7+ years of relevant legal experience at a top law firm and/or in-house (a combination of both is a plus), with 5+ years focused on privacy and demonstrated experience building, operating, or leading a privacy compliance program (not solely advisory work)
• Deep, current knowledge of global privacy frameworks, including the GDPR/UK GDPR, CCPA/CPRA and the growing patchwork of U.S. state comprehensive privacy laws, and familiarity with cross-border data transfer mechanisms (SCCs, IDTA, adequacy, EU-U.S. Data Privacy Framework)
• Working knowledge of the operational building blocks of a privacy program — DPIAs/PIAs, ROPA and data mapping, data subject rights processes, privacy by design, and vendor/third-party risk management
• Capacity to be a generalist and learn new areas of law and legal skills quickly as the business evolves
• Deep understanding of cloud and software technology, and a strong desire to work on legal issues in these areas
• Experience working for a company offering platform services to business customers is a plus
• Familiarity with privacy management tooling (e.g., OneTrust or comparable) is a plus
• J.D. from a top-tier law school
• State bar membership required, in good standing
• One or more privacy certifications (e.g., CIPP/E, CIPP/US, CIPM, CIPT, FIP) preferred; CIPM is particularly valued for a program-leadership role

What you bring

• You can set direction for a program and drive it to execution — prioritizing and managing time and client expectations in the face of competing demands, often without direct guidance, as we scale our rapidly expanding business.
• You exercise good judgment in raising issues, assessing risk, and providing concise, actionable, business-focused legal advice and counsel.
• You build strong, deep working relationships with internal stakeholders across multiple geographies and functions, and are comfortable working with distributed teams.
• You are a self-starter who operates independently and interacts confidently with senior management, influencing without authority.
• You have a strong work ethic, excellent organizational skills, and the ability to manage many cross-functional projects simultaneously with minimal supervision.
• You have outstanding written and verbal communication skills, and can make complex privacy and regulatory concepts clear to both legal and non-legal audiences, including executives.