Technical Program Manager, Trustworthy AI Job at OpenAI (San Francisco)

Principal Product Manager - AI Governance (Azure AI Foundry)

AI is transforming how organizations operate, and with it comes a new frontier o...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree AND 8+ years in product management, program management, or technical leadership roles OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Deep familiarity with AI/ML systems, model governance, or enterprise compliance frameworks
Proven experience driving cross-functional initiatives with engineering, security, and policy teams
Excellent communication skills with demonstrated ability to influence across organizational boundaries
10+ years of product management or applied AI experience, ideally in enterprise cloud or responsible AI domains
Knowledge of AI governance frameworks (EU AI Act, NIST AI RMF, ISO 42001, SOC 2, etc.)
Experience building or integrating security, compliance, or observability products
Familiarity with agentic AI systems and associated risk classes (e.g., sensitive data leakage, prohibited actions, task drift, jailbreaks)

Job Responsibility

Lead the AI Governance product area within Azure AI Foundry — defining the long-term vision, strategy, and roadmap for policy management, compliance automation, and regulatory readiness
Design and deliver core governance experiences, including agent-level policies, data sensitivity signals, prohibited action controls, and AI system compliance dashboards
Integrate Foundry governance with Microsoft’s broader security and compliance stack — Entra (identity and A2A policies), Purview (data classification and DLP), and Defender (threat insights)
Translate emerging AI regulations (EU AI Act, ISO 42001, NIST AI RMF) into actionable platform capabilities and customer experiences
Partner with Responsible AI researchers and engineering teams to operationalize ethical principles into measurable safeguards and evaluators
Collaborate with customers, industry bodies, and policymakers to help shape standards for trustworthy AI deployment
Establish and track success metrics (governance coverage, compliance posture, customer adoption), ensuring measurable impact and clarity across engineering and partner orgs
Represent the product in executive and customer forums, evangelizing Microsoft’s approach to responsible, governed AI systems

Fulltime

Sr. Product Manager - Web Personalization (Agentic Web)

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Redmond

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 5+ years of marketing operations, program management, technical product management or related experience OR equivalent experience
3+ years technology/process improvement experience
8+ years in web personalization, SEO/AEO, or digital experience roles, with demonstrated ownership of roadmaps and measurable outcomes
Understanding of information architecture, modular content systems, funnels, attribution constraints, and Core Web Vitals
2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework)
Experience with content modeling, metadata/taxonomy design, and modular design systems that support dynamic assembly at scale
Understanding of privacy, consent, and data minimization principles for personalization, measurement, and AI-assisted experiences

Job Responsibility

Own the Agentic Web strategy and operating model: Define the annual vision and roadmap across AI discovery, personalization, and on-site agent journeys, with clear intake, prioritization, and operating rhythms to sustain optimization at scale
Run AI discovery (AEO) end to end: Set standards for answer-ready content and machine interpretability, and continuously monitor, troubleshoot, and evolve performance with SEO, content, and engineering as answer engines change
Launch and manage web personalization as a product: Own the full lifecycle from requirements and launch through ongoing roadmap delivery, tuning, and continuous improvement based on business priorities and customer signals
Ensure personalization platform reliability: Define SLAs, instrumentation, monitoring, and quality gates (signal freshness, latency, delivery health), and drive incident response and post-incident improvements with engineering and analytics
Productize and operate interactive agent experiences: Define agent vision and requirements, then own post-launch iteration of intent capture, journey handoffs, escalation paths, and recommendation quality through measurable learning loops
Build and maintain the intent and content model: Steward the unified intent layer, taxonomy, metadata, and module mapping that connects discovery signals, in-session behavior, and agent context so the system stays scalable and governable
Lead measurement and experimentation for long-term lift: Own dashboards and performance reviews, run an ongoing test-and-learn cadence to prove incrementality, scale winners, retire underperformers, and align cross-functional teams on actions and outcomes
Champion trust, safety, and governance: Embed privacy, accessibility, accuracy, provenance, and brand-voice guardrails into both launches and ongoing operations, ensuring the system remains compliant and trustworthy as content and models evolve

Fulltime

New

Partner Platforms Manager, AI

At Webflow, we’re building the world’s leading AI-native Digital Experience Plat...

Location

United States

Salary:

161500.00 - 210000.00 USD / Year

Webflow

Expiration Date

Until further notice

Requirements

4+ years of experience in systems engineering, automation, technical operations, RevOps, or data engineering roles within a SaaS environment
Hands-on experience integrating multiple systems with overlapping or conflicting data ownership
Inclination towards systems thinking, including lifecycle state modeling, eligibility logic, and auditability
Experience translating ambiguous business rules into deterministic, scalable system workflows
Proficiency in Python and SQL for automation, integration logic, and data validation

Job Responsibility

Design and own the partner systems orchestration layer: Architect how partner-related systems work together across onboarding, enablement, deal collaboration, and incentives. You will define clear system boundaries, sources of truth, and integration patterns that keep partner data accurate and trustworthy
Translate partner program requirements into system logic: Convert complex partner rules and policies into deterministic, auditable workflows that govern partner eligibility, progression, and payout readiness. Ensure these rules scale without relying on manual review. You will think holistically about the partner lifecycle — from acquisition to onboarding, activation, and reporting — designing automation that reduces manual work while preserving financial and compliance safeguards
Design automation with clear guardrails: Build workflows that balance rule-based logic, AI-assisted decisioning, and human-in-the-loop checkpoints. You will be responsible for deciding where automation is appropriate and where correctness requires human oversight
Apply AI selectively and responsibly: Use AI to support triage, exception handling, and insight generation in partner operations. Establish evaluation and monitoring approaches to ensure automated outcomes remain explainable, accurate, and safe, especially in financially sensitive workflows
Own cross-system integration and reliability: Design and maintain integrations across PRM, partner management, enablement, and finance systems. Anticipate partial failures, asynchronous events, and data discrepancies, and design for reconciliation, recovery, and observability. You will work across lifecycle tooling including CRM data flows, partner enablement platforms, reporting systems, and workflow automation layers, ensuring partner lifecycle state is consistent and auditable across systems
Ensure production readiness and operational clarity: Define standards for monitoring, alerts, documentation, and runbooks for partner-critical systems. Make system behavior understandable and predictable for operational teams who rely on it day to day
Partner closely across functions: Collaborate with Partner Operations, Finance, RevOps, Marketing Operations, Support, and Engineering to ensure systems meet compliance, audit, and reliability expectations. Clearly communicate system behavior, constraints, and tradeoffs to both technical and non-technical stakeholders
Design for change and long-term scalability: Build systems that can evolve as partner programs change, minimizing technical debt and allowing underlying tools or vendors to be replaced without disrupting partner experience or business operations

What we offer

Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company
Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums
Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions
Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired
Wellness for the whole you. Access to mental health resources, therapy and coaching
Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally
Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts
Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program

Fulltime

New

Online Course Developer – Responsible and Sustainable AI, Ethics, and Governance

Brandeis University’s Rabb School of Continuing Studies is seeking a skilled onl...

Location

United States

Salary:

Not provided

Brandeis University

Expiration Date

Until further notice

Requirements

Advanced degree (Master's or Ph.D) in Strategic Leadership, AI Ethics, Data Science or related field
Industry experience in AI/ML systems, cloud architecture, and enterprise technology strategy, including governance frameworks, risk management, and responsible deployment of AI in regulated environments
Demonstrated expertise in ethical and trustworthy AI practices, including bias mitigation, model oversight, regulatory alignment, and translating policy and governance requirements into sustainable AI operating models or policies
At least 1 year of teaching or training experience (preferably online/asynchronous)
Minimum 1 year experience developing asynchronous online courses for adult learners in higher education
Proficiency with LMS platforms and digital authoring tools
Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork
Strong communication, organization, and independent work skills
Familiarity with curriculum design, accreditation standards, and graduate-level rigor
Ability to translate interdisciplinary content into engaging, accessible learning pathways

Job Responsibility

Design and build a new three credit asynchronous online course titled: Responsible and Sustainable AI, Ethics, and Governance
The development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards
Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes
The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis’s academic standards and online course development guidelines
Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones
Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer, and Brandeis Online

Parttime

Software Engineer

IBM Infrastructure division builds Servers, Storage, Systems and Cloud Software ...

Location

India , Hyderabad, Pune, Bangalore

Salary:

Not provided

IBM Deutschland GmbH

Expiration Date

Until further notice

Requirements

Bachelor's Degree
Knowledge of Operating Systems, OpenStack, Kubernetes, Container technologies, Cloud concepts, Security, Virtualization Management, REST API, DevOps (Continuous Integration) and Microservice Architecture
Strong programming skills in C, C++, Go Lang, Python, Ansible, Shell Scripting
Comfortable in working with Github and leveraging Open source tools
Knowledge of AI/ML/DL, Jupyter Notebooks, Linux Systems, Kubernetes, Container technologies, REST API, UI skills
Strong programming skills like – C, C++, R, Python, Go Lang and well versed with Linux platform
Strong understanding of Data Science, modern tools and techniques to derive meaningful insights
Understanding of Machine learning (ML) frameworks like scikit- learn, XGBoost etc.
Understanding of Deep Learning (DL) Frameworks like Tensorflow, PyTorch
Understanding of Deep Learning Compilers (DLC)

Job Responsibility

Work on all the phases of product development (Design/Development, Test and Support) across core Systems technologies including Operating Systems, Firmware, Systems Software, Storage Software & Cloud Software
Focus on development of IBM Systems products interfacing with development & product management teams and end users
Analyze product requirements, determine the best course of design, implement/code the solution and test across the entire product development life cycle
Could also work on Validation and Support of IBM Systems products
Work with a vibrant, culture driven and technically accomplished teams working to create world-class products and deployment environments, delivering an industry leading user experience for our customers
For Systems and Cloud Software Engineer: Design new enhancements, coding (including test automation), problem determination and bug fixing, performance analysis, and solving client problems
Could also work on IBM Compute and Storage Systems including Virtualisation, I/O and Reliability Availability & Serviceability
Be responsible for enhancing and maintaining the key components of the Software stack, Platform enablement and an opportunity to work on closed and Open source development communities
For AI Software Engineer: Be involved in delivering best-in class Enterprise AI Solutions on IBM Z and support IBM Customers while adopting AI technologies / Solutions into their businesses by building ethical, secure, trustworthy and sustainable AI solutions on IBM Z
Work as a Full stack developer starting from understanding client challenges to providing solutions using AI

Fulltime

Sr. Manager, Data Governance

The Sr. Manager, Data Governance will play a pivotal role in maturing our data g...

Location

United States , Remote

Salary:

100277.88 - 235026.28 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field (Master's preferred)
7+ years of experience in data governance, data management, or a similar role, with at least 3 years in a senior or leadership capacity managing teams
Strong foundational knowledge of data governance frameworks (e.g., DAMA-DMBOK)
Hands-on expertise in implementing data governance and MDM on modern platforms, such as Atlan for metadata/cataloging, automated data profiling (Playbooks), governance workflows, and policy automation
Reltio for MDM (with emphasis on match/merge/survivorship for Salesforce entities like Accounts and Opportunities)
Databricks Unity Catalog
Snowflake Polaris Catalog
and AWS services (e.g., S3, Glue, Athena)
Proficiency in SQL and data modeling, with experience in data quality tools and processes (e.g., profiling, cleansing, and validation)
Demonstrated ability to roll out Data Governance, master data unification, and automated practices in a cross-functional, multi-domain setting

Job Responsibility

Work with Domain Owners/Data Stewards to define Data Governance Epic Scope and Identify new CDEs with proper Business Glossary Definitions
Define the necessary Data Quality and Reconciliation Rules/Business Logic required to ensure the efficacy of CDEs
Work with Data Engineering to ensure we capture Technical Lineage for our CDEs
Implement CDE Data Quality Rules, Reconciliation Controls and corresponding Quality Dashboards
Automate CA Data Governance processes in our Metadata/MDM tooling (i.e. Match-Merge Resolution, etc.)
Lead Data Remediation activities with Technology Platform Owners and cross-functional teams
Maintain/Publish Data Governance Reporting/Status for all activities
Implement comprehensive data governance practices, including data stewardship, metadata management, data lineage, quality assurance, identification and governance of Critical Data Elements, promotion of data ethics and responsible AI practices, and master data management processes across multiple domains
Lead the maintenance and optimization of data governance ensuring compliance with regulatory requirements (e.g., GDPR, CCPA) and internal standards
Drive the rollout of new, automated data governance practices by integrating tools like Atlan for advanced metadata management, cataloging, automated data profiling (via Playbooks), governance workflows (for approvals, access requests, metadata enrichment, and policy enforcement), Reltio for master data management (including advanced match, merge, survivorship, and golden record creation for entities such as Salesforce Accounts, Opportunities, and related objects), and platforms such as Databricks (Unity Catalog), Tableau Cloud and Snowflake

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support

Fulltime

New

Junior Partnerships Manager

Our mission is to enable everyone to build wealth. We reinvent how trading and i...

Location

Bulgaria , Sofia

Salary:

Not provided

Trading212

Expiration Date

Until further notice

Requirements

Growth hacking mindset
Understanding of influencer marketing
Excellent verbal, written communication, and presentation skills

Job Responsibility

Actively seek out new partnership opportunities through social media and industry-specific channels
Negotiate and close deals while handling objections
Maintain open communication with partners, suggest new campaigns, and provide performance feedback to internal teams
Help create frequent reviews and reports with sales and financial data
Ensure all campaign and compliance guidelines are followed by partners
Conduct market research to identify possibilities and evaluate customer needs
Stay informed of the industry’s latest trends, technologies, and the competitor landscape

What we offer

Challenges that will help you grow and realize your potential really fast
Opportunity to make a big impact - you will build innovative services used by millions of investors to build wealth
Work with smart, spirited, helpful, high-performing colleagues with a common goal
An environment where nothing is set in stone
Appreciation for your talent and ideas
Generous remuneration package, including annual bonuses
Excellent social benefits package, including private health insurance, sports card, and 25 days of paid vacation per year
Delicious treats and a spacious game room

Fulltime

New

Data Scientist, Support

We’re seeking a Support Data Scientist who will dig deep into user-support data—...

Location

United States , San Francisco

Salary:

230000.00 - 255000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

8+ years in analytics, business intelligence, or data science (experience with customer support or operations teams is a plus)
Expert-level SQL skills and proficiency in Python or R for advanced analysis and automation
Hands-on experience designing and maintaining BI dashboards (e.g. Looker, Mode, Tableau, Sundial) with a focus on clarity and self-serve usability
Hands-on experience fine-tuning or prompt-engineering LLMs to build text classifiers, sentiment analysis, or tagging systems
Demonstrated ability to translate complex datasets into clear business stories and recommendations for both technical and non-technical audiences
Familiarity with support metrics (SLAs, FCR, deflection) and ability to define service health KPIs
Strong cross-functional communication skills—comfortable collaborating daily with engineers, data scientists, and operations leaders
An eye for detail, a zero-defect mindset, and a bias toward action over theoretical perfection
Possess a strong bias for automation and can defend governance decisions that keep data and processes healthy as they grow
Thrive in a fast-moving, ambiguous environment where priorities can shift quickly

Job Responsibility

Explore large support and product datasets to uncover trends, volume drivers, and user-experience pain points, distilling findings into clear, actionable narratives
Build, enhance, and maintain self-serve dashboards and reporting tools, enabling non-technical teams to answer their own data questions
Establish a unified metrics taxonomy for service-health and performance—and build automated data-sharing pipelines and scorecards with our BPO partners to ensure everyone operates from the same real-time view of success
Leverage LLMs to build bespoke classifiers that automatically label and segment inbound volumes—powering smarter routing, richer self-serve insights, and swifter root-cause analysis
Partner with Data Engineering to ensure reliable pipelines, implement data-quality checks, and document sources of truth
Jump into high-priority special projects to conduct bespoke deep-dive analyses and deliver clear, strategic recommendations to leadership
Prototype quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering
Collaborate with Data Science on predictive models and experimentation, translating results into operational recommendations

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Technical Program Manager, Trustworthy AI

OpenAI

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 21, 2026

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