Partner Development Manager Saas Platforms Jobs

About the Team The Solutions Engineering team is made up of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, and Security to translate frontier AI capabilities into practical workflows that create real-world impact. Cybersecurity is one of the most urgent areas where AI can help. As frontier models become more capable at reasoning over code, logs, infrastructure, and security evidence, organizations need guidance on how to evaluate, validate, and deploy these systems safely. Our goal is to help customers move from identifying risks to implementing solutions. About the Role We are committed to bringing together people from diverse backgrounds and perspectives who are excited to help build and deploy safe, useful AI. We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Enterprise Sales, Security, and Product teams. We are looking for a Field Security Specialist to help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases. This is a customer-facing specialist role for someone who can move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design. You’ll help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection en

About the Team The B2B Marketing team contributes to OpenAI's broader mission of ensuring responsible and widespread adoption of artificial intelligence. We are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI's products and platform. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with Product, Engineering, Growth, Sales, Research, Comms, and Design teams to create a cohesive customer experience across all our channels. About the Role We're looking for a senior product marketing leader to own the strategy, narrative, and go-to-market direction for ChatGPT Work. This role will help define how professionals, teams, and organizations put AI to work on meaningful tasks, move from questions to completed work, and adopt new ways of working across their business. You will serve as the senior product marketing owner for ChatGPT Work, shaping the category, setting portfolio priorities, and connecting product innovation to customer understanding, adoption, and growth. Your scope will span the Work experience across surfaces, connected tools, and AI-powered workflows, with a clear focus on the needs of professional users, Business customers, and Enterprise organizations. This is a leadership role for someone who can set strategy, make difficult tradeoffs, and stay close enough to the work to shape the messaging, product decisions, launches, and programs that determine whether customers adopt. You will partner with Product, Growth, Sales, Research, Comms, Creative, and adjacent product marketing teams to build a coherent experience from first discovery through sustained team usage. In this role, you will: Own the ChatGPT Work product marketing strategy: Define the audience, market opportunity, positioning, competitive strategy, and go-to-market priorities across professional users, tea

About the Team The Codex Web Layer team provides the web-based systems and user experiences for Codex across the entire stack, from the Electron-like application framework that powers the application, to the user-facing in-app browser. About the Role In this role, you will be responsible for designing and implementing infrastructure and features end-to-end for the Codex desktop client application. You will help define what it means to be a hybrid agentic/interactive web browser. The team embodies “full stack” development from the lowest-level OS integration to the highest-level interaction design. This role is based in San Francisco. 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: Partner closely with product and design to conceive, design, and build features for Codex web browsing features on macOS and Windows. This role will focus mostly on the backend C++ layer and Chromium, but many features cross the full stack including some TypeScript. Partner with the wider Codex team to deliver a high-performance, stable, and secure application platform for client development. This includes API design and implementation (mostly in C++) and the infrastructure that supports deploying it (in Python, TypeScript, and agentic skills). Work with a small, experienced team of engineers on this critical and rapidly growing product. You might thrive in this role if you: Have significant experience building technically complex features end-to-end. Are a strong C++ developer, especially with experience in browser environments like Chromium and Electron. Since this role is more backend focused, general knowledge of web development and TypeScript is helpful but not required. Thrive in a fast-paced, ambiguous environment. Communicate clearly and concisely across many different roles in the organization. Are self-directed, identifying important work and executing it end-to-end. About OpenAI OpenAI is an AI

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Lead Robotics Safety Engineer to define and lead the product safety strategy for our robotics program. You will work closely with leadership, engineering, research, legal, and policy teams to ensure safety is integrated into our products from the earliest stages of development through deployment. This role combines product safety, regulatory strategy, systems engineering, and risk management. You will help shape how we think about safety across robotic platforms, influence product architecture and development decisions, and ensure our systems are designed to meet both current and emerging regulatory expectations. You will serve as a subject matter expert on robotics safety standards, regulatory frameworks, and safety engineering practices while helping establish the long-term safety strategy for our products and organization. This role is based in San Francisco, CA. This role will be expected to be in office 4 days per week and offer relocation assistance to new employees. In this role, you will Define and lead the product safety strategy for robotic systems across the development lifecycle. Monitor and influence emerging regulatory frameworks, industry standards, and policy developments relevant to robotics and autonomous systems. Partner with engineering teams to translate safety requirements into product architecture, design decisions, and engineering requirements. Develop and maintain system-level hazard analyses, risk assessments, and safety cases for robotic products. Establish safety requirements, verification strat

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn. The Protection Scientist Engineer, Integrity team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products. About the Role Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a Protection Scientist Engineer within Integrity and Investigations, you will be responsible for designing and building systems to proactively identify and enforce on abuse on OpenAI’s products. This includes ensuring we have robust abuse monitoring in place for new products, sustaining monitoring for existing products, and prototyping and incubating systems of defense against our highest risk harms. You will also respond to and investigate critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross-functionally with product, policy, and engineering teams. This role is based in our London office and includes participation in an on-call rotation that will involve resolving urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise-disturbing material. In this role, you will: Scope and implement abuse monitoring requirements for new product launches. Improve processes to sustain monitoring operations for existing products, including developing approaches to automate monitoring subtasks. Prototype and mature into product

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn. The Protection Scientist Engineer, Integrity team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products. About the Role Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a Protection Scientist Engineer within Integrity and Investigations, you will be responsible for designing and building systems to proactively identify and enforce on abuse on OpenAI’s products. This includes ensuring we have robust abuse monitoring in place for new products, sustaining monitoring for existing products, and prototyping and incubating systems of defense against our highest risk harms. You will also respond to and investigate critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross-functionally with product, policy, and engineering teams. This role can be based in either our San Francisco, or NY office and includes participation in an on-call rotation that will involve resolving urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise-disturbing material. In this role, you will: Scope and implement abuse monitoring requirements for new product launches. Improve processes to sustain monitoring operations for existing products, including developing approaches to automate monitoring subtasks. Prototyp

About the Team The Consumer Products team at OpenAI builds the hardware that brings advanced AI technology directly into people’s hands. We design, engineer, and manufacture next-generation consumer devices that combine elegant design, robust engineering, and cutting-edge AI. Our team spans mechanical, electrical, and systems engineering — partnering closely with industrial design, operations, and software to create seamless, high-quality experiences that make AI more accessible and useful. About the Role As a Hardware Engineer on the Consumer Products team, you’ll contribute to the design, development, and integration of complex hardware systems for new AI-driven devices. You’ll work across disciplines to translate early product concepts into reliable, scalable, and beautifully crafted products ready for mass production. This role is based in Singapore. We follow a hybrid model (four days per week in the office) and offer relocation support for new employees. Occasional travel to manufacturing partners may be required. In this role, you will: Design, prototype, and validate mechanical and electrical subsystems from early development through mass production. Collaborate closely with design, operations, and manufacturing teams to ensure quality, reliability, and scalability. Drive DFM/DFA reviews, design iterations, and bring-up of prototype and pilot builds. Debug complex system-level issues and lead root-cause investigations and resolutions. Partner with global suppliers and cross-functional teams to ensure flawless execution from concept to launch. You might thrive in this role if you: Have 6+ years of experience in consumer hardware, consumer electronics, or advanced product development. Bring deep technical fluency in mechanical, electrical, or systems engineering (cross-disciplinary experience a plus). Have taken at least one consumer product from concept to mass production. Are energized by hands-on problem solving, iteration, and building in fast-paced enviro

About the Role We are seeking a Cloud Infrastructure Engineer to help design and evolve the platforms that power OpenAI’s products. In this role, you will be a hands-on technical leader, driving the architecture, scalability, reliability, and security of critical infrastructure systems. You will help define how we build and operate infrastructure at the next order of magnitude, while influencing technical direction across teams. This role is both deeply technical and highly strategic, requiring strong ownership, sound judgment, and the ability to partner effectively across engineering, product, and research organizations. In this role, you will: Design and build scalable, reliable, and secure infrastructure platforms that power OpenAI products Evolve cloud infrastructure abstractions that enable rapid product development across teams Architect systems to support significant growth, performance, and operational complexity Improve server orchestration, networking, distributed systems reliability, and infrastructure security posture Influence technical direction and infrastructure strategy across multiple teams Partner closely with product, research, and engineering teams to align infrastructure with evolving needs Own operational excellence, including participation in on-call rotations, incident response, and production readiness Mentor engineers and raise the overall technical bar of the organization Contribute to a culture of high ownership, low ego, and thoughtful collaboration You might thrive in this role if you: 8+ years of experience building and operating large-scale infrastructure systems Deep expertise in Kubernetes and container orchestration at scale Strong experience designing cloud abstractions and platform infrastructure (AWS, GCP, Azure, or similar) Proven track record of leading complex technical initiatives across teams Experience operating highly reliable, secure, and scalable distributed systems Security engineering experience or security backgroun

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design. About the Role We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure. This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems. 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. Key Responsibilities Support the development and maintenance of performance modeling tools and frameworks Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems Help analyze distributed system scaling behavior and identify performance bottlenecks Run simulations and analytical models to support architecture and infrastructure decisions Partner with senior engineers to evaluate design tradeoffs across hardware and system components Interpret modeling outputs and help translate findings into clear recommendations Vali

Where Performance Meets Purpose Iconic golf brands. Commitment to excellence. Colleagues who care. Working at Acushnet Company means you bring your background and experience to a company with a rich history of creating the best products for dedicated golfers around the world. Your performance has purpose at Acushnet Company. What You Will Be Doing: As a member of the Titleist & FootJoy Marketing Team, the CRM/Email Marketing Specialist is responsible for planning and executing global and local communication strategy with consumers through direct management of email marketing programs, customer lifecycle and retention marketing programs, and connecting customer data from throughout the organization. The CRM/Email Marketing Specialist will become a thought leader as it relates to customer lifecycle management and optimizing engagement with consumers through our CRM platform. The successful candidate will partner with DTC teams, creative, digital marketing, and product marketing teams to maximize lifetime value of consumer relationships as well as drive engagement and growth throughout each community through various marketing initiatives. Primary Responsibilities · Mange & maximize e-mail marketing program: Accountable for email marketing execution, creative briefing and development process, QA and deployment, and performance evaluation. This includes managing the local campaign calendar, managing the creative production process by leveraging our Digital Marketing and Creative teams to build appropriate content briefs, creative & copy development, and site experience. Grow triggered email program by driving revenue through on-going optimization of creative, messaging, promotion, cadence and templates. · Develop sophisticated cross-channel consumer journeys to achieve specific business objective

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing We’re seeking a strategic and highly collaborative Lead PLM System Analyst to serve as the subject matter expert for Product Lifecycle Management (PLM) processes, systems, and data governance across the organization. In this role, you will lead the development, optimization, and deployment of PLM capabilities that support product creation, product data management, and enterprise-wide business objectives. You will play a critical role in aligning business processes, operational requirements, and technology solutions to drive innovation, efficiency, and product development excellence. You will partner closely with teams across Product Creation, Sourcing, Operations, IT, and other business functions to define PLM strategies, establish roadmaps, and ensure system capabilities effectively support current and future business needs. Acting as a trusted advisor, you will help shape the evolution of PLM processes and technologies while driving initiatives that improve data quality, visibility, compliance, and overall operational performance. You will lead complex PLM projects and system enhancements from requirements gathering through deployment, adoption, and ongoing support. This includes managing system integrations, upgrades, process improvement initiatives, and enterprise-wide efforts to standardize product data, specifications, materials, and bill of materials (BOM) management. You will also be responsible for developing and maintaining go

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health is seeking a highly strategic Executive Director, Chief of Staff, reporting to the Senior Vice President, Chief Operating Officer for Pharmacy Services. This leader will be responsible for shaping, and advancing key business priorities, translating strategy into coordinated execution, and strengthening accountability and operating discipline across the organization. The Chief of Staff will serve as a strategic thought partner to the Chief Operating Officer for Pharmacy Services and his direct leadership team. This leader will play a critical role in driving clarity, alignment, and execution on initiatives of substantial scale, visibility and complexity. This individual will bring structure to complex business issues, anticipate risks and opportunities, and help ensure focus on the initiatives with the greatest operational, financial, client, and enterprise impact. Key Responsibilities Strategy Development and Execution Partner with the Chief Operating Officer to shape strategic priorities and translate them into actionable plans and measurable business outcomes. Lead complex, high-visibility, cross-functional initiatives spanning multiple teams and business areas. Ensure organizational priorities align with broader Pharmacy Services and enterprise objectives. Anticipate barriers, identify risks, and

Become a part of our caring community Do you thrive on designing secure, enterprise-scale solutions that protect critical systems, data, and networks? As a Lead Security Architect in Humana, you will play a key role in shaping the security blueprint for the organization by aligning security architecture and infrastructure with enterprise business and technology priorities. In this role, you will partner with EIP and business leaders to assess emerging threats, identify architectural gaps, and design forward-looking security solutions that strengthen Humana's overall security posture. You will also lead security assessments, vulnerability analysis, and product security reviews while helping develop innovative testing approaches and mitigation strategies for evolving risks. This is a high-impact opportunity to influence enterprise architecture, guide secure technology design, and help protect the business through strategic, modern security architecture. The Lead Security Architect engages with relevant EIP stakeholders to identify current and emerging security threats and works to design security architecture elements to mitigate threats as they emerge. Additionally, the role actively works to identify gaps within existing EIP reference architecture and designs updates to impacted security architecture elements to mitigate emerging threats. Performs and oversees efforts to conduct vulnerability testing, risk analysis, and security assessments of relevant enterprise / EIP infrastructure. Ensures EIP and Humana stakeholder security requirements are necessary to protect Humana's business functions and are adequately addressed in all aspects of enterprise architecture. The Lead Security Architect role is aligned to a segment (line of business) to proactively discover security issues during solution design and prevent vulnerabilities during development.

Become a part of our caring community Humana’s Quality and Cost Strategy Analytics Team is seeking a Research Scientist 2 (Remote). Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Quality and Cost Strategy Analytics team identifies opportunities and build solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries leveraging data science & analytics, clinical expertise, strategic mindset, and rigorous study designs. In this multi-disciplinary team, you will have the opportunity to work closely with strategy partners and clinicians to shape Humana’s future enterprise clinical strategies and initiatives. The Research Scientist 2 will lead research, evaluation and development of opportunities that optimize healthcare delivery, lower medical cost while improve member health outcomes, through applying mathematical, statistical, epidemiologic and data science methods. The Research Scientist 2 will also partner with stakeholders across the enterprise to identify, prioritize and measure the impact of core and novel solutions to significant problems in healthcare and improve the health of especially underserved population, using high volumes of structured and unstructured data. Responsibilities As a Research Scientist 2, you will: Research, prototype and scale new ideas to improve population health and healthcare delivery Collaborate with analytic and business teams to set objectives, approaches, and work plans Collaborate with strategy to evaluate existing programs and identify and measure new solutions to impact healthcare Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solut

About the Role We are looking for a Director of Engineering – AI & Full-Stack SaaS to lead the engineering strategy and execution for a highly scalable, enterprise-grade SaaS platform. This role is ideal for a strong engineering leader who combines deep software engineering expertise, enterprise SaaS experience, cloud-native architecture, full-stack product development, and practical AI/GenAI adoption . The successful candidate will lead multiple engineering teams, drive architectural and technical decisions, improve engineering velocity and quality, and help embed AI across the software development lifecycle and product engineering ecosystem. Key Responsibilities Lead and mentor multiple engineering teams responsible for building and delivering enterprise SaaS products. Define and execute the engineering strategy, technical roadmap, architecture and development standards . Drive development of highly scalable, secure, reliable and cloud-native SaaS applications. Provide technical leadership across backend, frontend, APIs, microservices and distributed systems . Drive adoption of AI/GenAI tools and capabilities across the engineering lifecycle, including development, testing, code quality, productivity and automation. Partner closely with Product, Architecture, DevOps, Security and other cross-functional teams to deliver business-critical capabilities. Establish engineering best practices around design, coding, testing, CI/CD, observability, performance and reliability . Own engineering delivery, quality, scalability and operational excellence across multiple product areas. Identify and resolve complex technical and architectural challenges. Build a high-performing engineering culture focused on innovation, ownership, collaboration and continuous improvement . Evaluate emerging technologies and identify opportunities to leverage AI and automation to improve engineering productivity and product capabilities. Drive technical modernization and evolution of existing