Lead Program Manager 3 Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for a strategic partner to the business to support our Global Contingent Workforce Program. The Program Lead will balance strategic priorities while helping to manage day-to-day administrative tasks, working cross functionally with teams like Legal, IT, Procurement and our hiring managers. You’ll report to the contingent workforce program manager and help the team prepare to grow their global footprint while automating and creating education around the CW programs ability to support. Responsibilities: Work cross-functionally to support day-to-day operations of the contingent workforce program Help manage the MSP and VMS teams including process, supplier management and automation Identify areas of risk proactively and partner with cross-functional teams to drive solutions to mitigate such risks Identify operational opportunities and help improve existing or develop new processes Consult with business leaders to better understand their workforce needs and advise on the appropriate strategy Establish and develop relationships with all key stakeholders: suppliers, internal customers, internal People team, Procurement, Legal, IT, and other business stakeholders to drive and understand global operational needs Ensure compliance among contingent workforce and suppliers Experience: 3+ years work experience in project management, managing complex and business critical projects Comprehensive understanding of contingent workforce guidelines and best practices, as well as contingent workforce risk and compliance strategies Experience documenting processes and creating step-by-step guides or SOPs, with the ability to translate complex workflows into clear, repeatable documentation Experience working in any Vendor Management System (VMS) Self-directed, detailed oriente

Roles & Responsibilities:- Planning Facilitates roadmap meetings. Ensures the business commit happens with proper coordination across teams and scope is well understood. Derives functional specs and provides a solution Architecture based on PRD. Ensures a proper project plan is available for all major features. Presentation to all Stakeholders. Planning and administering both projects and the overall program. Escalation point for any program. Execution Owns the overall execution plan that is derived from individual team plans. Ensure that teams follow the agreed process and guidelines. Status communication to all stakeholders.(Business & Engineering). Change Management. RISK management. Ensures that deliverables meet the quality standards set. Responsible for all cross team communications. Guides the team on best practices and processes. Maintains the KPI Metrics @ division and Program Level. Closure Lessons Learned are documented and applied in further programs. Contracts are formally closed and conduct necessary meetings to check and communicate that the key tenets of the project are met or not. Transfer of Deliverable s to customer and support functions. Desired Skills and Experience:- 6-8 years of technical program management experience. Deep hands-on technical expertise & systems knowledge. Excellent understanding ofprocessing platforms and queues Must have exposure to leading product development within a high growth environment Ability to lead cross functional teams of developers, designers, DevOps engineers. A proven track record of delivering initiatives from conception through completion on time, within budget and on or beyond scope. Requirement gathering, definition, and documentation experience & manage release schedules Ability to communicate effectively at all levels with executives and technical teams. Ability to handle multiple priorities in a fast-paced environment & deep&nbsp

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Platform Services is one of DoorDash’s organizations responsible for extending DoorDash beyond the consumer marketplace. The team owns three distinct business lines: Drive, a white-label delivery API that enables external businesses to access DoorDash’s delivery network; Parcels, which provides last-mile logistics for retailers and merchants; and Enterprise (DoorDash for Business), a b2b product suite powering corporate meal programs and large ordering for organizations of all sizes. We are looking for a Senior Technical Program Manager to help scale Platform Services. You will lead important engineering wide initiatives across Enterprise, Drive, and Parcels, working with Engineering, Product, Operations, and business leaders to deliver dependable, extensible logistics capabilities for external businesses. Programs will span backend services, partner and merchant integrations, operational tooling, and platform interfaces. They require strong technical judgment, cross organizational coordination, stakeholder management, and ownership of results. You will report into the centralized Technical Program Management team in Engineering. You're excited about this opportunity because you will… Drive Platform Services’ Most Strategic Programs - You will partner closely with Engineering and Product leadership, Strategy & Operations, and cross-functional teams to turn Platform Services’ strategy into executable technical programs. The portfolio spans Drive (DoorDash’s white-label delivery offering), Parcels (last-mile logistics for merchants and retailers), and Enterprise (DoorDa

NVIDIA's DGX Cloud (DGXC) powers AI for strategic research and product workloads. The company seeks a Senior Technical Program Manager (TPM) to lead complex, cross-functional programs powering NVIDIA’s next-generation AI software platforms. In this role, you will drive software initiatives across platform services, cloud infrastructure, and system integration. The focus is on enabling scalable, reliable, and supportable software for AI workloads. You will be responsible for managing high-impact engineering programs within a dynamic, fast-paced roadmap, aligning priorities across teams, and ensuring timely, high-quality delivery. This role requires strong technical competence, a proactive approach, and the ability to operate effectively across multiple levels of the organization. This is a software-first TPM role. The ideal candidate has extensive experience managing software initiatives. They also understand the full-stack environment, including infrastructure dependencies, system bring-up, integration readiness, and operational needs to support software across stack layers. What You'll Be Doing: Lead end-to-end execution of software platform initiatives, including planning, execution, delivery, and operationalization. Work together with software, infrastructure, product, and operations teams to ensure alignment on goals, deliverables, achievements, and schedules. Lead cross-functional initiatives encompassing cloud-native services, platform software, system integration, and release delivery. Help connect software roadmap execution to full-stack readiness, including dependencies across infrastructure, bring-up, validation, and downstream operational support. Identify cross-functional dependencies, mitigate risks, and drive resolution of complex technical and programmatic issues. Establish clear success metrics and reporting mechanis

The LPU Software Team is seeking a Technical Program Manager to lead software initiatives across the LPU SDK. In this role, you will partner with engineering and cross-functional teams to define program plans, align priorities, manage dependencies, and drive execution. You will identify risks, remove obstacles, and ensure teams deliver high-quality software on schedule that meet our customers needs. What You'll Be Doing: Build and implement execution plans to ensure we meet the needs of the business Build relationships and work closely with partners across NVIDIA Own all aspects of technical program management – planning, forecasting, documenting, scheduling, running effective meetings, prioritization, dependency management, reporting, and escalations Build and own metrics for measuring program efficiency, collect and analyze data in support of planning and data driven decisions Report on overall program status, providing insights and recommendations to senior management Work with multi-functional matrixed teams - guide teams crafting for sophisticated, complex, competing and often conflicting customer requirements and moderate technical discussions to successful conclusions Serve as liaison between developers and customers, connecting those with and without technical backgrounds. Promote continuous improvement by identifying process enhancement opportunities. What We Need To See: Bachelor’s degree (or equivalent experience) in a related field with proven program management expertise and proficiency in technical and management practices 3+ years program management experience including proven ability managing enterprise software products Demonstrated skill in eng

About the Team OpenAI’s Stargate and 3P Engineering teams are responsible for building and scaling the external infrastructure ecosystem that powers advanced AI systems. We work across hyperscalers, colocation providers, cloud partners, and strategic third-party operators to turn contracted capacity into production-ready compute. Our scope spans the full lifecycle of external deployments: commercial alignment, technical readiness, network integration, hardware enablement, operational readiness, and long-range scaling strategy. As OpenAI’s infrastructure footprint expands globally, we need leaders who can convert complex partner environments into reliable, high-velocity capacity for training and inference workloads. About the Role We are seeking a Technical Program Manager, Token-as-a-Service (TaaS) to lead delivery of external compute capacity that directly serves OpenAI model workloads. In this role, you will own complex cross-functional programs that transform third-party infrastructure into usable tokens at scale. You will partner across engineering, capacity planning, networking, hardware, finance, product, and external providers to ensure that deployed capacity translates into real production throughput. This role sits at the intersection of infrastructure execution, systems readiness, and business impact. Success requires strong technical fluency, elite program management, and the ability to drive accountability across internal teams and external partners. This is a high-visibility role with direct impact on OpenAI’s ability to scale model training and inference globally. This role is based in San Francisco, CA, with a hybrid work model of 3 days in office per week. Relocation assistance is available. Key Responsibilities Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply. Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments. Build

Technical Program Manager – AI Research itD is seeking a Technical Program Manager – AI Research to oversee business-critical projects in the AI Research space, facilitating review and approval processes that enable research initiatives to be initiated and shipped successfully. The ideal candidate will bring 5+ years of technical program management experience in a technology environment, including AI compliance reviews, and a track record of managing complex, cross-functional initiatives in ambiguous environments. Location: onsite presence in New York City 3 days per week. Pay Rate: $53/hr to $54/hr depends on Experience We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Lead multiple compliance reviews for frontier AI research projects, including drafting requirements, monitoring progress, managing action items, and resolving blockers to keep milestones on schedule. Coordinate with requesters, engineering, research teams, reviewers, and privacy stakeholders to clarify requirements and streamline review and approval processes. Develop and maintain clear project communications, providing regular updates and weekly reporting on project status, accomplishments, risks, dependencies, and review-process insights. Identify project risks and dependencies early, develop mitigation plans, and escalate issues that may affect review timelines or key milestones. Research, catalog, and annotate AI Research assets with a high degree of accuracy and attention to detail. Analyze data and optimize workflows using Google Sheets and Microsoft Excel, including data exploration, annotation, and reporting. Monitor developments in AI research, compliance, and related tooling to identify opportunities for continuous process and project improvements. Internal Responsibilities Attend regular internal practice community meeting

About the Team The Frontier Assurance team brings independent scrutiny into OpenAI’s safety decisions and helps the public understand and assess our safety work. We lead third-party assessments and safeguard testing for OpenAI’s flagship launches, pilot new assurance mechanisms such as embedded auditing, run our misalignment disclosure process, and incorporate independent expert input as evidence for critical safety decisions. About the Role As a Research Program Manager on the Frontier Assurance team, you will build programs that bring independent expertise into frontier AI safety decisions and make the evidence behind those decisions understandable to the public. You will lead external research partnerships and third-party assessments, coordinate public safety documentation, and develop new approaches to independent scrutiny and transparency. Working across research, engineering, product, policy, and communications, you will help ensure external findings inform concrete decisions and that our public explanations accurately reflect the evidence, limitations, and remaining uncertainty. We’re looking for people with deep experience in research partnerships and program management with technical and research teams. This role combines partnership management, cross-functional coordination, an understanding of AI safety research, alignment, and evaluations, and strong communication skills. You will work with researchers and engineers within OpenAI and across the external community to initiate projects, set ambitious goals and milestones, and drive execution across multiple teams. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and run third-party assessment programs for frontier models and safeguards, including independent evaluations, adversarial testing, and new approaches such as embedded auditing. Work with researchers and external part

Privacy Program Manager Description - Privacy Program Manager - Products & Services Privacy Job Summary This role is responsible for providing strategic privacy advisory, guidance and program management support to HP's Products & Services organizations to ensure compliance with global privacy, data protection, AI governance, and regulatory requirements. The role partners closely with product, engineering, legal, security, data governance, and business teams to embed privacy-by-design principles throughout the product lifecycle, assess privacy risks, and drive implementation of compliant solutions that enable innovation while protecting customer, employee, and partner data. The role leads privacy initiatives, manages complex cross-functional programs, develops governance processes, and serves as a trusted advisor to stakeholders on privacy requirements impacting products, services, digital platforms, AI/ML solutions, and emerging technologies. Success in this role requires strong program management, risk assessment, stakeholder engagement, and regulatory interpretation skills. Responsibilities Manage and lead privacy programs supporting HP Products & Services teams to ensure compliance with global privacy and data protection regulations, including GDPR, CCPA/CPRA, LGPD, PIPL, and other applicable international requirements. Serve as a trusted privacy advisor for product, service, software, AI/ML, cloud, and digital platform initiatives by providing practical guidance throughout the development lifecycle. Conduct and facilitate Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), AI risk assessments, and related reviews to identify and mitigate privacy risks. Partner with business, engineering, legal, cybersecurity, data governance, and compliance stakeholders to in

About the Team The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust. About the Role As a Research Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment. We’re looking for people who are technically savvy, comfortable with ambiguity, and excited about shaping the future of safe AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead programs that explore unexpected model behaviors and identify failure modes. Translate vague or emergent risk signals into clear priorities and actionable research plans. Design and run creative evaluations, experiments, and red-teaming campaigns. Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles. Develop repeatable systems for tracking model performance and understanding emerging behavior patterns. You might thrive in this role if you: Have strong experience in technical program management, with excellent organizational and communication skills. Are familiar with large language models, prompt engineering, or model evaluation techniques. Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up. Are creative and resourceful in devising new methods for testing model behavior and performance. Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution. About OpenAI OpenAI is an AI resear

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT Multimodal team works across voice, image generation, and other multimodal experiences to turn frontier research capabilities into reliable products. The team connects product usage and failure patterns with research, evaluation, data, inference, capacity, and external partnerships so that model and product improvements translate into better experiences for users. About the Role We are seeking a Technical Program Manager to build the flywheel that helps ChatGPT multimodal products learn from real-world usage and improve quickly. You will lead programs spanning production-signal mining, evaluation and data pipelines, research-to-production parity, multimodal capacity planning, and complex cross-functional dependencies for voice and image-generation launches. You will work closely with product engineering, research, Human Data, inference and capacity teams, safety partners, and external vendors or product partners. Success requires technical depth, strong systems thinking, comfort with ambiguity, and the ability to turn fragmented or manual work into durable mechanisms that teams adopt. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build a system for mining production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes. Establish and maintain evaluations for the highest-priority multimodal behaviors and use cases, with clear coverage, quality standards, and ownership. Package production signals into decision-ready data and

About the Team OpenAI's data and storage infrastructure spans data platforms, online databases, and file/object storage. These systems underpin data ingestion and processing, durable persistence, indexing and retrieval, and product file experiences. As frontier models and agents evolve how they use memory, history and snapshots, the underlying architecture increasingly shapes the capabilities products can deliver—and their latency, reliability, cost and efficiency. About the Role We are looking for a technically deep TPM to independently define and lead multiple programs across data platforms, online databases and storage infrastructure. You will connect model, product and data-consumer requirements to architecture, and work with the relevant engineering teams to take new capabilities through production adoption and repeatable expansion. The design scope is exabyte-scale storage and infrastructure spanning multiple millions of CPU cores. The challenge is not simply forecasting more resources: it is making complete, workload-ready capacity repeatable, with a clear path from product requirements through architecture, deployment and validation. A data pipeline, database query, file operation or execution snapshot can affect whether a product or agent succeeds; you will connect those outcomes to the systems underneath. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Translate model, product and data-platform needs into precise access patterns, consistency, durability, freshness, availability and scalability requirements. Connect memory, history, retrieval and resumable work to capability and end-to-end latency. Partner with engineering to transform data and storage architecture into repeatable scale units: standardized provisioning, placement, routing, data movement and readiness checks that bring storage, compute and networking online together.

Technical Program Manager – Applied Infrastructure About the Team The Applied team safely brings OpenAI’s technology to the world, powering products like ChatGPT, and the APIs for GPT and more. Behind these products is a complex and rapidly evolving infrastructure platform that enables scale, performance, and safety. The Applied Infrastructure TPM team partners across engineering to lead foundational programs that ensure OpenAI’s infrastructure can meet current and future demand. About the Role We’re looking for a seasoned Technical Program Manager to drive critical infrastructure programs across the Applied organization. This TPM will focus on cross-cutting initiatives such as general compute capacity planning, process transformation, cost and quota attribution and optimization, and coordination across infrastructure and product stakeholders. There will also be focus on evolving OpenAI’s infrastructure to support growth, scale and new products. This work is core to how OpenAI manages and grows its infrastructure footprint in a disciplined, scalable way. Location: San Francisco, CA (Hybrid – 3 days/week in-office) In this role, you will: Serve as the DRI for complex infrastructure programs spanning CPU planning, orchestration, and other resource management domains (e.g. networking, storage). Build and operationalize systems to capture demand signals, model future capacity needs, and align infrastructure planning across internal teams and partners external to the company. Partner closely with Infrastructure, Product and Finance teams to forecast infrastructure usage patterns and ensure supply/demand alignment. Lead cost attribution and quota enforcement programs to promote stability and ensure equitable access to resources across teams. Drive simplification and standardization of infrastructure tooling and processes across Applied and Infra organizations. Drive cross functional programs to evolve our infrastructure to support new growth and scale Work with external v

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a Support Program Manager to join our Support Delivery team. This role is an exciting opportunity to help define and implement foundational support practices that will scale with OpenAI’s growth. You will lead efforts to establish new operational frameworks, driving process alignment with various internal teams, and leading tooling and automation projects. This position offers the chance to make a significant impact in shaping customer experience while collaborating across multiple teams. We’re looking for people who thrive at the intersection of project management, systems building, data science/data engineering/software engineering, team enablement, and customer advocacy – and enjoy working cross-functionally in a fast-paced, evolving environment. This role is based in San Francisco, CA, and follows a hybrid work model of 3 days in-office per week. Relocation assistance is available. In this role, you will: Lead support delivery programs for Tier 3 frontline delivery for our most strategic customers, including productivity and workflow improvements, team operations, and knowledge management for the Support Delivery team Partner with Support Delivery and cross-functional leadership to define the experience, stand up the program, manage pilots and rollout, and ensure premium operations and playbooks st

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT infrastructure team is responsible for ensuring that our products can serve rapidly growing demand with the performance, reliability, and quality our users expect. This work sits at the intersection of product demand, model deployment, inference, research, fleet, and capacity. The team translates changing product and model needs into clear capacity decisions and safe, scalable launches. About the Role We are seeking a Technical Program Manager to lead the operating system for Chat capacity and model deployment. You will connect demand forecasting and capacity allocation with model readiness, rollout planning, launch coordination, and post-deployment learning. You will also own mode deployment beyond capacity by working with cross functional teams across research, post-training, inference and product to own mainline model deployment. You will bring structure to constrained-capacity decisions, improve the tooling and mechanisms teams use to prioritize demand, and help new models reach users safely and efficiently. Success requires technical depth, sound judgment under ambiguity, and crisp execution across product, research, infrastructure, and operations teams. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own cross-functional programs for Chat capacity forecasting, allocation, headroom planning, and constrained-capacity operations. Build durable intake, prioritization, and decision mechanisms that connect product demand and model requirements to available serving capacity. Partner