Product Management Director in United States

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role Senior Engineering Managers at GitLab own outcomes for a defined engineering domain, build and grow the team that delivers them, and are trusted to operate with significant autonomy against a clear mandate. This Senior Engineering Manager role focuses on driving non-linear productivity by building and leading a small, hand-picked team of engineers who find and fix the highest-leverage friction points in GitLab's own SDLC. Rather than incremental team management, this is a 0 to 1 team-building mandate. You will personally recruit 4 exceptional engineers, define how they work, and drive them through a root-cause, shi

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Manager, Procurement, you’ll serve as an individual contributor supporting GitLab’s Chief Technology Officer, Chief Information Security Officer, and Chief Information Officer organizations. You’ll lead strategic sourcing, vendor management, and contract negotiations for critical technology suppliers, with a strong focus on software, cloud infrastructure, and hyperscaler partnerships. You’ll work closely with senior leaders and cross-functional partners to shape sourcing strategies, improve procurement processes, identify savings opportunities, and explore how artificial intelligence can support proc

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Engineering Manager at GitLab, you’ll manage and grow a high-performing engineering team within the Data Foundations group, working on a core data platform that ingests, processes, persists, and queries data streams generated across GitLab. We are looking for a leader who can leverage AI to drive non-linear productivity gains across the platform, accelerating our ability to deliver value to our customers. We’re looking for someone with deep distributed systems knowledge. You’ll need to be comfortable going well beyond people management and into the architecture of high-throughput, multi-component data

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Manager, Customer Success Operations at GitLab, you will own the operational processes, reporting, and programs that support our Customer Success Management (CSM) function. Reporting to the Senior Manager of Sales & CX Operations, you will partner closely with CS leadership, Revenue Strategy & Operations, Finance, a

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Commercial Named Account Executives are the primary point of contact between prospective and existing customers of GitLab within the top end of the mid-market, which currently works with companies that employ between 250 to 3,999 employees. These GitLab team members manage the spectrum of project sizes, ranging from small fast growing teams in smaller agile organizations to complex enterprise projects advising on the journey with GitLab to achieve specific business outcomes. Commercial Named AEs work closely in tandem with the business development team and sales management to manage a broad book of busine

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Commercial Named Account Executives are the primary point of contact between prospective and existing customers of GitLab within the top end of the mid-market, which currently works with companies that employ between 250 to 3,999 employees. These GitLab team members manage the spectrum of project sizes, ranging from small fast growing teams in smaller agile organizations to complex enterprise projects advising on the journey with GitLab to achieve specific business outcomes. Commercial Named AEs work closely in tandem with the business development team and sales management to manage a broad book of busine

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: This role plays a key role in contributing, developing, and maturing an industry-best Credit Risk Management organization across SoFi Technologies, Inc. The incumbent will architect comprehensive risk management capabilities for a rapidly growing bank holding company – ensuring robust defensive and offensive capabilities – maturing foundational risk identification/risk mitigation, risk management frameworks, and risk culture. The contributor will play an essential role in fostering regulatory readiness and maturing a strong effective challenge second-line Credit Risk function. The Credit Risk Oversight (2LOD) Senior Risk Analyst role is critical to success across SoFi Technologies, Inc., SoFi Bank, NA, and operating subsidiaries. The incumbent will contribute to the second-line oversight of Credit Risk across all SoFi’s lending products - Unsecured, Secured and Commercial Lending. The analyst will conduct credit/behavioral/financial analytics or predictive modeling to assess risks and opportunities for the bank portfolios and translate results into recommendations. The 2LOD Senior Risk Analyst will leverage internal and external data sources and technology capabilities in support of the oversight function. Perform analysis to research credit

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large impact. This role is based in San Francisco, CA. We use a

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role The Go To Market (GTM) team at OpenAI is dedicated to helping customers realize the transformative potential of AI technology. We are seeking a Revenue Operations Manager to support and optimize the operations within our Technical Success team, working closely with cross-functional teams to drive operational excellence and maximize customer impact. As a Revenue Operations Manager, you will focus on designing processes that enhance the customer experience, optimizing internal workflows, and delivering data-driven insights that support strategic decision-making across teams. In this role, you'll: Design and implement processes to support the OpenAI Technical Success team, ensuring seamless management of customer interactions throughout the lifecycle, from onboarding to ongoing technical support and services delivery. Work closely with technical teams to ensure that operational processes are scalable and efficiently integrated into customer success workflows. Define and track key performance indicators (KPIs) specific to technical success, developing and maintaining dashboards to provide actionable insights to stakeholders and leadership. Manage capacity and coverage strategy for the Technical Success team, working with leadership to ensure alignment with business objectives and offering data-driven recommendations for improvements. P

About the Team The IT and Security organization builds the systems, data foundations, and automation that help OpenAI operate securely and reliably at scale. We support critical domains across identity, access, infrastructure security, enterprise systems, and internal productivity. As OpenAI grows, audit readiness and control assurance increasingly depend on reliable data: accurate system inventories, access populations, change records, configuration state, exception signals, and evidence generated directly from source systems. Our goal is to move beyond manual evidence collection and build scalable data products, automated validation, and continuous control monitoring that make security and IT controls measurable, repeatable, and defensible. About the Role We are looking for an IT Controls Data Engineer to build the data infrastructure that powers audit readiness, IT controls, evidence automation, and continuous control monitoring. In this role, you will design and maintain the pipelines, datasets, models, validation logic, dashboards, and evidence exports that make IT controls measurable, repeatable, and defensible. You will work across Security, IT, Infrastructure, Engineering, Finance Risk Management, and auditors to turn complex system behavior into reliable control data products. This is a technical builder role. The ideal candidate is strong in data engineering and analytics engineering, comfortable working with enterprise and security system data, and able to explain data lineage, source-system behavior, and control logic clearly to technical and audit stakeholders. You’ll be responsible for Building reliable data pipelines, models, and datasets for IT controls, including access, identity, configuration, change, ticketing, exception, and evidence data. Creating data quality, lineage, reconciliation, and completeness checks that make control data defensible for SOX and other audit use cases. Designing automated evidence generation workflows that produce compl

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training Performance Engineer, you’ll drive efficiency improvements across our distributed training stack. You’ll analyze large-scale training runs, identify utilization gaps, and design optimizations that push the boundaries of throughput and uptime. This role blends deep systems understanding with practical performance engineering — analyzing GPU kernel performance, collective communication throughput, investigating I/O bottlenecks, and sharding our models so we can train them at massive scale. You’ll help ensure that our clusters are running at peak performance, enabling OpenAI to train larger, more capable models with the same compute budget. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Profil

About the Team Governance, Risk, and Compliance (GRC) is foundational to Security delivering mission outcomes at OpenAI. We’re excited about building creative solutions to ambiguous security requirements and delivering new technologies to mission critical customers. The GRC team provides security and engineering expertise to ensure our customers’ most critical and stringent requirements are met. We are technical in what we build but are operational in how we do our work, and are committed to obtaining, expanding, and maintaining Authorizations to Operate (ATOs) for critical systems while fostering a collaborative and execution-driven culture. About the Role Our technologies support some of the most important and impactful work in the world, including our strategic and high-impact customers in the public sector. As a GRC Program Manager, you’ll play a pivotal role in achieving US government (USG) ATOs and compliance frameworks, including but not limited to FedRAMP and Department of War (DoW),for OpenAI products and support agency-specific ATOs for systems deployed in highly regulated and secure environments. You’ll work closely with engineers, internal stakeholders, and external assessors to design, document, and implement security controls that meet stringent compliance requirements. Your creativity and execution-focused approach will be critical in navigating complex challenges while maintaining the trust of our stakeholders. We’re looking for people who bring: Proven experience in obtaining and maintaining a FedRAMP ATO and agency specific ATOs in highly restricted environments, within government or regulated sectors. A deep understanding of USG security frameworks and policies (e.g., NIST, RMF, FedRAMP). Ability to communicate technical concepts to diverse audiences, including engineers and non-technical stakeholders. Exceptional technical program management skills, with the ability to multitask and deliver large complex programs under pressure. This role is base

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cortex Apps team is building the future of AI for enterprise data. This role focuses on the backend infrastructure that powers our flagship products like Snowflake Intelligence , Cortex Agents and Search making agentic AI fast, reliable, scalable and secure at the enterprise level. You won’t just be using AI tools; you will be building the high-performance systems that orchestrate them. You’ll own and influence the architecture for agent execution environments, high-throughput context retrieval, or the ecosystem that allows our customers to iterate and launch agents in production. What you will do in this role: Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management. Scale Context Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable and efficient search indexing, query processing, and result ranking, semantic caching, and automated metadata extraction. Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and "hillclimbing" experiments. Productionize AI Workflows: Collaborate with

Structures Lab Test Engineering Manager Company: The Boeing Company Boeing Test & Evaluation (BT&E) has an exciting opportunity for a Structures Lab Test Engineering Manager to join our team in Tukwila, WA . This manager will be responsible for managing day-to-day Structures Lab Test operations in support of multiple Boeing Commercial Airplanes (BCA) & Boeing Defense, Space and Security (BDS) development and sustaining programs, as well as defining the strategy and execution plan to position their team and lab for the future of our program partners’ testing needs. This role requires a determined commitment to safety, quality, and functional excellence that will drive increased efficiency and schedule performance. A true focus on people, understanding how they are the key to our success and a commitment to developing them individually is required, as well as a sincere commitment to Seek, Speak and Listen as a cultural norm. Position Responsibilities: Manage employees performing engineering and technical activities in the areas of Structures Test & Materials Verification Develop and execute project and process plans, implement policies and procedures and set operational goals Acquire resources for projects and processes, provide technical management of suppliers, and lead process improvements Manage capital investment projects and long-range planning for capital investments into the lab Develop and maintain relationships and partnerships with customers, stakeholders, peers, partners and direct reports Provide oversight and approval of technical approaches, products and processes Develop and engage employees through coaching, mentoring, and performance management, as well as id

Experienced Ordnance Specialist Company: Boeing Aerospace Operations The Boeing Company has an exciting opportunity for an Experienced Ordnance Specialist to join our team located in Hertford, NC . The ideal candidate will be upbeat and ready to react when given an unexpected time sensitive task. You will be asked to work alongside the client and other agency’s providing physical support along with scheduling range set up and cleanup operations with public works. This position will require you to work on outside ranges in all weather conditions. Position Responsibilities: Provide support to instructors prior to and during range activities Cleanup all buildings and work areas on range Maintain accurate levels of demolitions, chemicals and incendiary materials on range Keep inventory on all equipment, explosive and ordnance usage Receive explosives and incendiary material shipments Coordinate all demolition range work with public works Keep ranges supplied with safety and first aid supplies Keep electrical firing systems in repair and working order Fabricate targets and related training materials for use on ranges Maintain and stock storage areas Perform other duties assigned Knowledge of range regulations and safety procedures Maintains awareness of range schedule and provides status to management of any identified issues Responds to trouble calls and resolves a variety of complex problems Is able to use a wide variety of complex test equipment Provides technical expertise in the evaluation of products or equipment and makes recommendations Has specialized knowledge in the use of all hand