Staff Security Technical Program Manager

At Commure, we are dedicated to transforming healthcare by simplifying the experience for both providers and patients. Our ambitious vision is to redefine care delivery and set a new benchmark in the industry. Our advanced suite of AI solutions includes ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management, and much more. All our innovations are crafted to enable healthcare professionals to concentrate on what truly matters: delivering exceptional care.The healthcare sector, valued at $4.5 trillion, incurs more than $500 billion in administrative expenses annually. Commure is at the forefront of this transformation, empowering over 500,000 clinicians across numerous care facilities nationwide. We facilitate over $10 billion in transactions through our systems and support more than 100 million patient interactions. With exciting product launches ahead, plans for expansion into new care segments, and a bold strategy to address healthcare's most significant challenges, we aspire to transition from an innovative startup to the industry standard in the coming years.Recently recognized in Fortune’s Future 50 list for 2025, Commure is backed by premier investors such as General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, and Greenoaks Capital. With over 300% year-over-year growth for the past two years, we are just getting started. The moment for AI-driven healthcare transformation is now, and we invite you to help us shape its future.About the RoleWe are in search of a Staff Technical Product Manager to spearhead the development of next-generation AI-enhanced tools for healthcare providers. This pivotal role focuses on streamlining medical billing processes by creating an automation engine that manages the entire revenue cycle, enabling our clients to prioritize patient care over administrative tasks.Full-time position requires working 3 days a week in our Mountain View office (Hybrid)

About UsAurora Innovation is dedicated to advancing self-driving technology to create safer, more efficient mobility solutions. Our vision is to revolutionize the transportation ecosystem, making it accessible and reliable for everyone.To learn more about our innovative technology, check out The Aurora Driver, which is set to transform logistics and personal transportation.At Aurora, we seek out talented individuals from diverse backgrounds, united in our mission to enhance road safety and improve the efficiency of goods transportation through cutting-edge technology. We are currently in search of a Staff Technical Product Operations Manager who will play a pivotal role in maximizing the potential of our Mapping operations and self-driving technologies.In this dynamic position, you will leverage your strategic, operational, and product expertise to ensure alignment across teams, optimize processes, and accelerate product development timelines. You'll collaborate closely with Engineering, Mapping Operations, Systems Safety, and Product Program Management to translate business goals into actionable plans for our teams.Your strong product management instincts, paired with operational agility, will enable you to design scalable systems for our Mapping organization. You will focus on enhancing the operational framework for our Mapping solutions, overseeing aspects such as HD map expansion, updates, change detection, validation, and readiness for release.

Role overview The Senior Staff Product Operations Manager at Databricks plays a key role in shaping how products are delivered and supported. Based in either Mountain View or San Francisco, California, this position focuses on guiding product operations strategy and improving delivery processes. Leadership across teams is essential, with an emphasis on streamlining workflows and strengthening operational efficiency. What you will do Lead cross-functional teams working on product delivery and operational improvements Shape and refine the product operations strategy to align with business goals Drive initiatives that support product excellence and greater efficiency Ensure product operations stay aligned with Databricks' objectives Location This role is based in Mountain View or San Francisco, California.

About UsAt Aurora, we strive to revolutionize transportation through safe, rapid, and broad deployment of self-driving technology.Discover The Aurora Driver and join us as we usher in a new era of mobility and logistics that promises greater safety, efficiency, and accessibility for all. At Aurora, you will engage in tackling complex challenges alongside a team of passionate, intelligent professionals, enhancing your expertise while expanding your knowledge base. For the latest updates, visit aurora.tech or follow us on LinkedIn. We are committed to hiring talented individuals from diverse backgrounds who are eager to contribute to a transportation ecosystem that enhances road safety, facilitates the timely delivery of essential goods, and improves mobility for everyone. We are currently seeking a Technical Program Manager to join our Product & Program Management team, focusing on two pivotal responsibilities: partnering with senior engineering leaders to develop cohesive architectures for future hardware platforms and collaborating with autonomy leaders and external partners to strategize and execute future fallback systems. The Aurora Architecture team integrates software and hardware systems, including on-vehicle software and hardware (compute, network, sensors), as well as connected software and network services.In this position, you will:Collaborate with senior executives and engineering leaders to drive architectural proposals, assess new technologies, and manage the execution of de-risking architectural decisions across hardware and software systems. Coordinate with various engineering teams to ensure that the architecture aligns with business objectives and enables transitions across multiple generations of hardware.Work alongside a team of experts to convert complex, ambiguous challenges into actionable solutions.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and ultimately save lives lost to traffic incidents. The Waymo Driver not only powers our fully autonomous ride-hail service but is also adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated and more than 100 million miles driven autonomously on public roads, along with extensive simulation across over 15 U.S. states, we are redefining transportation.The Software Engineering team is the brain behind Waymo’s autonomous driving capability. Our systems empower the Waymo Driver to accurately perceive its surroundings, make informed decisions, and safely transport individuals to their destinations. We tackle complex technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a software engineer or researcher with a passion for Level 4 autonomous driving, we want to connect with you.The Sensor Foundations Team is essential in providing clean, optimized sensor data through robust APIs to our Perception models. We aim to abstract hardware differences and deliver low-level Perception signals using advanced algorithms or machine learning approaches. Team projects require a versatile skill set, including robotics, system integration, code optimization, and machine learning expertise.Within the Optimization sub-team, we leverage our knowledge of CPUs, GPUs, and sophisticated algorithms to rapidly process Waymo’s sensor data, feeding it into Perception ML models. Our focus on low-level compute hardware understanding allows us to apply this knowledge throughout the entire technology stack. We are seeking a Tech-Lead Manager with expertise in CPU, GPU, or system-level optimization to guide our small team of Software Engineers. Depending on your experience, you may also oversee system-level optimization and manage our compute resources.This position follows a hybrid work model and reports directly to the Technical Lead Manager of the Sensor Foundations team.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has committed to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. With the Waymo Driver powering our fully autonomous ride-hail service, we have achieved over ten million rider-only trips, backed by more than 100 million miles driven autonomously on public roads and tens of billions of miles simulated across 15+ U.S. states.The Waymo Mapping Team is on a mission to create a high-resolution map of the world to ensure safe autonomous driving. Our innovative approach combines automated and manual mapping techniques, alongside building the necessary infrastructure to store, process, and disseminate mapping data. Collaboration is key as our team partners with various Waymo divisions that depend on map data.In this role, you will:Lead a dynamic team focused on Field Response infrastructure, driving the next phase of Waymo’s rapid expansion.Own the strategy and roadmap for Mapping change detection, a pivotal element in scaling our mapping capabilities.Recruit and mentor a team of engineers to tackle complex business challenges and technical obstacles.Design and implement mission-critical systems that enable low-latency responses from Waymo’s fleet signals.Build resilient backend infrastructure and data processing systems that can scale with Waymo’s growth.You have:A seasoned managerial background, enthusiastic about leading teams while maintaining technical expertise.Proven experience as a backend engineer, with a history of building server-side infrastructure and effective data processing systems.Strong programming skills, with C++ being highly preferred.Over 7 years of total professional experience, including at least 2 years in a managerial role.A robust sense of ownership and the ability to navigate uncertainty effectively.A successful track record of guiding teams through complex technical challenges.It’s a bonus if you possess:Experience in Mapping and Localization.Background in the Autonomous Vehicle industry.Experience in hiring and developing a new team.#Li-Hybrid

About Contextual AI At Contextual AI, we are at the forefront of transforming the functionality of AI Agents by addressing one of the most significant challenges in artificial intelligence: context. By providing the right context at the right moment, we enhance the precision and scalability that enterprises leveraging AI demand. Our comprehensive enterprise AI development platform bridges the gap between groundbreaking AI research and the practical needs of developers. It empowers AI developers to efficiently ingest and query documents from various enterprise data sources, seamlessly integrating retrieval results into their business processes. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), the core technique that connects foundational models to real-time, relevant information, Contextual AI is supported by visionary venture capitalists. We are not merely participants in the enterprise AI revolution; we are shaping its direction. Join us in crafting a future where AI not only answers inquiries but also revolutionizes business operations. About the Role As a Research-focused Member of Technical Staff, you will engage in pioneering AI research initiatives, contributing significantly to the development of Contextual RAG pipelines, including retrieval systems, language models, and alignment methodologies. Responsibilities Lead research projects in language modeling, retrieval, alignment, retrieval-augmented generation, end-to-end training, and evaluation. Develop and implement scalable infrastructure and tools that facilitate effective research and model development. Continuously review and stay informed about current literature, advancements, and industry best practices. Participate in the entire research pipeline, from ideation and experimentation to analysis and deployment. Publish research findings that contribute novel insights to the field of AI. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field; Master's or PhD preferred. Solid software engineering fundamentals with a proven history of developing complex systems. Deep understanding of core machine learning principles with hands-on experience in language modeling, retrieval, large-scale training, or evaluation. Research experience (academic or industry) is highly advantageous, including knowledge of experimental design, analysis, and research methodologies. Exceptional problem-solving capabilities and the ability to excel in a dynamic research environment.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips facilitated, our technology has driven over 100 million miles on public roads and tens of billions in simulated environments across more than 15 U.S. states.The Perception team is responsible for designing systems that learn spatial-temporal representations and their semantic meanings within the self-driving car's environment. We collaborate with downstream teams for optimization and integration into the Waymo Driver. Our research addresses real-world challenges while working alongside Alphabet's research teams. By utilizing millions of miles of driving data from diverse sensors, engineers are empowered to (1) create efficient learning methods from large-scale real-world data, (2) develop scalable models and training processes, (3) analyze real-world behaviors to manage the complexities of real-world interactions, and (4) optimize models for both our onboard and offboard hardware.In this hybrid role, you will report directly to a Senior Staff Technical Lead Manager.

Join our dynamic team as a Staff Technical Program Manager at LinkedIn! In this pivotal role, you will spearhead innovative technical projects, driving the execution of strategic initiatives that align with our company’s mission. Your leadership will be crucial in coordinating cross-functional teams, ensuring timely delivery, and maintaining the highest standards of quality.As a Staff Technical Program Manager, you will leverage your extensive experience to navigate complex challenges, streamline processes, and foster collaboration among diverse stakeholders. This is an exciting opportunity to make a significant impact on our technology landscape and help shape the future of LinkedIn!

Role Overview LinkedIn is hiring a Staff Technical Program Manager for the Engineering department in Mountain View. This position leads technical programs that support operational excellence and encourage strong collaboration across teams. The role focuses on aligning project goals with LinkedIn’s broader objectives while keeping timelines and resources on track. What You Will Do Guide complex technical programs from planning through delivery Coordinate efforts across multiple engineering teams Ensure projects meet organizational goals and milestones Manage resources and schedules to keep programs moving forward Promote a culture of continuous improvement within the team Influence product development through program leadership What We’re Looking For Experience managing large-scale technical initiatives Strong background in technology and program management Ability to foster collaboration and drive results across teams Commitment to operational excellence and process improvement

About Contextual AIAt Contextual AI, we are at the forefront of transforming how AI agents operate by addressing one of the most significant challenges in the field: context. By providing the right context at the right moment, we enable enterprises to achieve the accuracy and scalability required for effective AI deployment. Our innovative enterprise AI development platform bridges cutting-edge AI research with the practical needs of developers, allowing them to seamlessly ingest, query, and integrate data from various enterprise sources into their workflows.Founded by the pioneers of Retrieval-Augmented Generation (RAG), our technology forms the backbone of the context layer that connects foundational AI models with relevant real-time information. Supported by visionary venture capital, we are not merely participating in the enterprise AI revolution; we are leading it. Join us as we create a future in which AI not only answers queries but also revolutionizes business operations.About the RoleAs a Member of Technical Staff focused on LLM Systems & Performance, you will join a dedicated and impactful team responsible for building and optimizing LLM systems from end-to-end. Your work will range from developing Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) pipelines to creating high-throughput inference clusters for production environments. You will collaborate with both researchers and engineers to design advanced models and the supporting infrastructure for our context layer.What You'll DoEnhance and optimize components of our SFT and RL training pipelines (e.g., Verl, SkyRL), focusing on areas such as data loading, training loops, logging, and evaluation.Contribute to the development of LLM inference infrastructure (e.g., vLLM, SGLang), including optimizations for batching, KV-cache management, scheduling, and serving.Utilize profiling tools like Nsight to analyze and improve end-to-end performance metrics (throughput, latency, compute/memory/bandwidth) by identifying and resolving bottlenecks.Engage with distributed training and inference systems using technologies such as NCCL, NVLink, and various parallelism strategies on multi-GPU clusters.Assist in experimenting with and implementing quantization techniques (e.g., INT8, FP8, FP4, mixed-precision) for both training and inference.Write and optimize GPU kernels utilizing CUDA or Triton, employing techniques such as FlashAttention and Tensor Cores as appropriate.Collaborate with researchers to advance ideas from concept to prototype, through scaled experiments, and into production.

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission is to develop the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives currently lost to traffic accidents. The Waymo Driver not only fuels our fully autonomous ride-hail service but can also be integrated into various vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, alongside extensive simulation experience across 15+ U.S. states, our impact is profound.The Planner Reasoning Team plays a crucial role in shaping the Waymo Driver’s behavior and extends its influence throughout the organization. As a Staff Technical Lead, you will be instrumental in scaling the performance of the Waymo Driver and enhancing our renowned safety standards as we expand our services to additional cities.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility access and significantly reducing traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and can be adapted for various vehicle platforms and applications. With over ten million rider-only trips and a remarkable experience of over 100 million miles driven autonomously on public roads, alongside extensive simulation across more than 15 U.S. states, we are poised for the future.Waymo’s Technical Program Managers are pivotal in executing our roadmap through strategic cross-functional planning, clarity, and proactive risk management. We thrive in navigating complex technical and operational challenges without predefined guidelines, acting with thoughtful urgency to drive meaningful conversations and outcomes. Our team collaborates intimately with all facets of Waymo to structure, oversee, and propel the work necessary for real-world deployments of the Waymo Driver across diverse platforms and regions.This position follows a hybrid work model and reports directly to the Director of Technical Program Management.Your Responsibilities:Lead the management of international expansion programs, establishing strong and scalable frameworks to introduce Waymo in new countries.Advance the new market framework to support future growth into additional regions.Own and drive critical cross-functional activities necessary for market entry and launch in new countries, focusing on vehicle, software, regulatory, compliance, policy, external engagement, and partner readiness.Coordinate deliverables across both internal and external teams, optimizing workflows and processes as necessary.Proactively identify and mitigate business-critical risks and dependencies.Keep stakeholders informed and aligned, representing programs to senior leadership and escalating issues as needed to eliminate obstacles.Your Qualifications:Over 10 years of experience managing intricate cross-functional programs.Proven track record in driving international expansion initiatives with a comprehensive understanding of market-entry functions (e.g., Product, Engineering, Legal, External Engagement).Exceptional leadership capabilities, with strong communication skills and the ability to inspire and align teams.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, our mission is to enhance mobility access and save lives through innovative solutions. The Waymo Driver—The World’s Most Experienced Driver™—powers our fully autonomous ride-hail service and adapts to various vehicle platforms and use cases. With over ten million rider-only trips and 100 million miles driven autonomously on public roads, we are transforming the future of transportation.We are on the lookout for a seasoned Technical Lead Manager (TLM) to spearhead our Vehicle Understanding team. In this pivotal role, you will oversee production modules related to Vehicle Understanding for the Waymo Driver, focusing on vehicle classification, states, and intents. This position is crucial for Waymo's expansion both domestically and internationally, allowing you to make a significant impact and drive innovative changes that enhance the generalizability of the Waymo Driver.In this hybrid position, you will report directly to our Senior Staff TLM of Semantics Understanding.

Join LinkedIn as a Staff Technical Program Manager in our Physical Infrastructure team, where you will spearhead critical projects that enhance our infrastructure capabilities. You'll collaborate closely with engineering teams to ensure seamless execution of large-scale initiatives while driving strategic alignment and operational efficiency.

Team & RoleJoin our dynamic Product Design team at Moveworks, where we focus on enhancing our core web application suite—the primary interface for users to engage with our cutting-edge AI capabilities. As a Senior Staff Product Designer, you will play a pivotal role in crafting an exceptional employee experience, essentially serving as the 'front door' to our platform. You will collaborate closely with product management and engineering leaders to shape future work strategies and translate complex machine learning technologies into user-friendly solutions.In this strategic role, you will be responsible for defining the design vision of our web platform, ensuring a seamless integration of our Agentic AI technology with outstanding web usability. Your leadership will drive clarity and coherence across large-scale, cross-product initiatives in a rapidly evolving technical landscape.Your Responsibilities:Lead large-scale, cross-product AI initiatives that deliver innovative AI-driven product experiences, fundamentally transforming how users engage with their daily tasks.Foster exceptional user experiences by designing innovative agentic and web interfaces, along with establishing design languages and frameworks across multiple AI initiatives.Provide strategic vision and guidance for collaborative efforts with diverse, multidisciplinary teams, sharing your expertise to elevate the company's design community.Mentor junior designers, helping them to grow and develop based on their unique strengths and interests.

Role overview The Staff Technical Program Manager for the Unity Catalog team at Databricks will guide and coordinate complex technical projects. This position is based in Mountain View or San Francisco, California. The focus is on supporting the Unity Catalog team’s mission through effective project leadership and organization. What you will do Lead cross-functional teams to deliver technical projects for Unity Catalog Coordinate project timelines and keep efforts aligned with Databricks’ strategic goals Encourage strong communication and collaboration among engineering, product, and other partner groups Impact Strong leadership in this role will help drive innovation and uphold high standards throughout the Unity Catalog organization.

Waymo is seeking a Staff Technical Lead Manager to join the Behaviors team, based in either Mountain View or San Francisco, CA. This team is dedicated to advancing autonomous driving by improving the algorithms that shape vehicle behavior on the road. Role overview This position centers on leading efforts to enhance how autonomous vehicles make real-time decisions. The work directly impacts the safety and efficiency of Waymo's self-driving technology. What you will do Lead projects that shape the decision-making processes of autonomous vehicles Collaborate with engineers and researchers to develop and optimize algorithms focused on safety and operational efficiency Provide technical guidance and mentor team members to support their growth Locations Mountain View, CA, USA San Francisco, CA, USA

Join Moveworks as we pioneer one of the most advanced enterprise AI platforms globally, integrating generative LLMs, agentic reasoning, enterprise search, and natural conversation into a seamless product experience. Our Enterprise Search empowers employees by enabling them to effortlessly locate answers and content across multiple tools and platforms. A key contributor to customer satisfaction is the extensive and reliable content integrations we offer, connecting to crucial systems such as documents, tickets, chats, wikis, and CRM, while maintaining stringent governance and permission standards.As a Senior Staff Product Manager, you will play a vital role in ensuring the market success of our content integrations portfolio. You will craft the strategic narrative, streamline deployments, enable field teams, collaborate with ecosystem partners, and drive product adoption and growth.Your Responsibilities:Gain in-depth understanding of customer needs and market dynamics: identify segmentation, analyze the competitive landscape, and comprehend the challenges of deploying integrations within large enterprises (including security, governance, admin workflows, and change management).Contribute to defining and assessing the “GA readiness” for integrations, including packaging, documentation, deployment guides, support escalation paths, and operational playbooks.Spearhead adoption initiatives for new connectors and significant integration capabilities through announcements, release notes, demo assets, and internal training.Lead early access programs to gather user feedback and validate innovative product features.Act as a primary advocate for the Voice of the Customer (VoC) across product, engineering, and leadership teams.Equip Sales, SE, CS, and Support teams with effective talk tracks, discovery questions, ROI narratives, competitive responses, implementation checklists, and troubleshooting guides.Define and track success metrics for integrations, ensuring alignment with customer needs.Incorporate field insights into product planning: translate customer feedback and deployment experiences into prioritized requirements and clear acceptance criteria for inbound Product Managers.Engage with the community and generate content that fosters interest and success.