Product Marketing Specialist in United States

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Linear is becoming a much broader product than people realize. With agents, mobile workflows, and new modalities, there’s a growing gap between what Linear can do and what people think it can do. This role exists to close that gap. We’re looking for someone who will live inside the product, discover what’s possible, and show the world. That means figuring out the most compelling use cases for Linear’s AI agent, demonstrating real workflows that teams can adopt, and getting those stories out through whatever format works best, whether that’s a tweet, a video, a blog post, or a live demo at a conference. The goal is to help people understand what they can actually do with Linear and make that feel concrete and exciting. Think of it as a product-obsessed marketer who is genuinely technical and knows how to communicate with depth. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Deeply understand Linear’s product, especially our AI agent and newer capabilities, and continuously discover productive, real-world use cases that teams would care about Crea

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Over the past few years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We are now layering a product-led sales motion on top of our existing self-serve business to accelerate our ambitions further and bring the magic of Linear to even more and larger companies. As an Account Executive at Linear, you’ll contribute to the future of our product and help high-impact companies build better software. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Become a product expert and help customers use Linear effectively; assist prospects through the trial and evaluation phase Generate a strong pipeline and exceed quarterly targets Build relationships with key stakeholders within accounts Be the voice of the customer; advocate for customers by surfacing product or adoption blockers to our product team What we're looking for 3+ years in a quota-carrying sales role Experience selling to a technical audience; bonus if you have previous experience working with a collaboration or developer

About the role: Datadog is building a product-led Competitive Intelligence function to help inform product strategy, roadmap prioritization, positioning, and competitive readiness. As the Head of Competitive Intelligence you will build and lead the CompIntel function across priority competitors and adjacent market opportunities. You will translate competitor product evolution, technical capabilities, launches, pricing value, customer sentiment, analyst narratives, and ecosystem shifts into actionable insights for Product, GTM, Sales Engineering, Customer Success, Technical Advocacy, and leadership. In this highly technical, hands-on leadership role, you should understand how observability products are implemented, where workflows differ, what technical claims are credible, and how product gaps translate into customer impact. What You'll Do: Own the recurring competitive radar for Datadog’s priority competitor set, including taxonomy, source standards, evidence quality, and update cadence. Produce competitive deep dives, feature-gap analyses, early-warning briefs, and opportunity assessments tied to specific product domains and leadership questions. Translate CompIntel findings into roadmap recommendations, product differentiation hypotheses, and Product-facing decision guidance. Build and maintain a central CompIntel repository with competitor profiles, source notes, comparison frameworks, evidence logs, and decision-ready briefs. Convert validated findings into GTM-ready handoffs for battlecards, objection handling, strategic deal narratives, and field enablement. Synthesize signals from Product, Engineering, Sales Engineering, Customer Success, field teams, technical communities, Advocacy programs, win/loss, customer feedback, analyst research, public competitor materials, and CABs. Partner with Product Management to frame competitive questions, identify decision criteria, and connect findings to roadmap and prioritization discussions. Partner with Tec

Datadog is seeking a highly motivated Senior Corporate Development Lead to drive our AI product strategy, build strong relationships across the founder and VC ecosystem, and support high-impact initiatives including acquisitions, venture investments, and startup partnerships. You will be part of a small, high-visibility team that reports directly to Datadog’s Founder/CEO. The ideal candidate is passionate about AI and developer tools, comfortable rolling up their sleeves, and excited to operate in a fluid, technically demanding environment. You will support evaluations, source promising AI startups, collaborate closely with internal product and engineering leaders, and help position Datadog as the preferred partner for the next generation of founders. This role is ideal for someone who is hungry for increased responsibility, operates with authenticity and creativity, and prioritizes the company’s interests. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Support Datadog’s AI product strategy by analyzing emerging technologies, market opportunities, and competitive dynamics. Source high-potential AI startups for acquisition, investment, or partnership, and build a strong presence across the founder and VC ecosystem. Attend meetups, conferences, and ecosystem events to expand Datadog’s visibility and pipeline opportunities. Drive workstreams across diligence, valuation, financial modeling, strategic assessment, and internal recommendations. Partner with Product and Engineering leaders to evaluate build/buy/partner opportunities aligned with Datadog’s AI roadmap. Support negotiation processes, including term sheets and partnership structures. Collaborate on integration planning with cross-functional partners after acquisitions or strategic de

About the Team The Monetization Data Systems team builds the trusted data and product systems that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the Role We are looking for a Senior Software Engineer to design and build the next generation of our monetization data platform. You will own high-impact platform systems end to end, from architecture and implementation through testing, deployment, observability, and ongoing operation. This is a hands-on role for an engineer who enjoys solving ambiguous customer and business problems, designing durable systems, and partnering closely with Product, Data, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into reliable, scalable product experiences and platform capabilities. In this role, you will: Design, improve, and operate reliable, scalable backend services that power pricing, billing, ads, payments, entitlements, and other monetization platform capabilities. Own the architecture and implementation of critical workflows relevant to monetization data, data contracts, and integrations across product and business systems. Establish strong guarantees for correctness, availability, security, performance, reconciliation, and auditability across business-critical systems. Build reusable platform capabilities and developer tools that enable product teams to launch, measure, and iterate on monetization products

About the Team Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows. Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics. We’re not just scaling infrastructure – we’re redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive. About the Role This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You’ll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale. You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation. You’ve supported Spark, Kafka, Flink, Airflow, Trino, or Iceberg as platforms. You’re well-versed in infrastructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure problems in the AI space. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per wee

About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions. We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like. About the Role As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world. In This Role, You Will Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions. Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems. Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy. Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-t

About the Team OpenAI’s Financial Engineering and Identity data science team owns how revenue flows through our products and builds the systems that enable people and organizations to access OpenAI products safely, seamlessly, and at global scale. Identity sits at the critical intersection of growth, trust, and user experience. The team owns the experiences and infrastructure behind sign up, sign in, account recovery, authentication, and identity integrations across both consumer and enterprise products. As OpenAI expands across products and markets, Identity plays an increasingly important role in helping more users get started quickly while protecting them from abuse, fraud, and account compromise. About the Role We're looking for the first dedicated Data Scientist to partner with the Identity organization. In this role, you will define how we measure success across the entire identity journey—from first-time sign up and onboarding through authentication, account recovery, and enterprise identity experiences. You'll develop the experimentation frameworks, metrics, and analytical approaches that guide product decisions while helping the team navigate one of Identity's core challenges: optimizing growth while maintaining trust and security. You'll work closely with Product, Engineering, Design, Abuse, Risk, and Go-to-Market teams to identify opportunities, quantify trade-offs, and influence strategy. Some questions can be answered through A/B tests. Others require observational analyses, causal inference, and judgment under uncertainty. This is an opportunity to shape the analytical foundations of a high-impact product area from the ground up. This role is based in San Francisco, CA. We use a hybrid model (3 days/week in office) and offer relocation support. In this role, you will Define the north-star metrics and measurement frameworks used to evaluate the identity experience across consumer and enterprise products. Design and analyze experiments to optimize top-of

Work Flexibility: Hybrid The Senior Quality Management System Specialist will help design, maintain, and continuously improve a quality management system that supports regulatory approval and business growth across global markets. You’ll collaborate across functions to ensure quality processes are not only compliant, but practical, efficient, and future‑ready. Activities include Quality System documentation, Internal Quality Agreements, Supplier Quality Agreements, and general QMS activities related to Mergers and Acquisitions. This role is Hybrid in Portage, Michigan . What You Will Do Support and maintain a compliant Quality Management System aligned with global medical device regulations to enable product certification and regulatory clearances. Develop and update quality system processes, procedures, and documentation to reflect business needs and regulatory expectations. Assess and quantify quality system requirements to optimize structure, integration, and scalability. Identify and implement continuous improvement opportunities that increase efficiency and effectiveness of quality processes. Support management review, quality planning forums, and related governance activities with data-driven inputs. Partner with stakeholders to ensure quality processes reflect actual operational activities, including support for new product development. Prepare for and support internal, external, and third‑party quality system audits, including responses and follow‑up actions. Contribute to quality system training content and delivery to ensure effective adoption across the organization. What You Will Need Bachelor’s degree in science, engineering, business, or a related discipline. <

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As a Global Public Sector Implementation Delivery Manager (IDM), you are the single-threaded technical owner of delivery for one of Altana’s most important public sector accounts or organizations. You blend enterprise architecture, hands-on deployment, and product design and development with the relationship skills to be the trusted technical voice in the room for the mission owners you serve. You lead a small, account-aligned implementation pod and are accountable for turning a closed-won account into mission outcomes: architecting the deployment, delivering it in secured and regulated environments, keeping it healthy, and finding the next place Altana can create value. You do this hip-to-hip with commercial — partnering with the Technical Account Managers (TAMs) and Program Managers who run the account — using delivery credibility to enable organic growth and inside sales without carrying the commercial number yourself. This role reports to a GPS Implementation sub-vertical lead (Trade, Resilience, or Policy) within the Implementation function, and is deployed against a named strategic account. For example, an IDM aligned to U.S. Customs and Border Protection (CBP) would report to the Trade sub-vertical lead. Your Responsibilities Own delivery outcomes for a named strategic account or account groups. Serve as the single-threaded technical owner for implementation and platform delivery to a key public sector account or organization, from post-award through sustainment. Deliver on-time against contractual commitments and hold the technical quality bar. Set and steward the account architecture. Translate mission outcomes into a coherent enterprise/solution architecture across SaaS and regulated PaaS environments. Own the deployment, integration, and data-m

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 leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based in San Francisco, CA. We use a hybrid work model of 3 days

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The HBM Design Technology Package Co-Optimization (DTPCO) organization is seeking a Staff Engineer! Lead the design and development of test vehicles that enable technology learning and risk reduction for future HBM products! This role serves as a key technical contributor within DTPCO, partnering closely with Architecture, Design, Layout, Product Engineering, Reliability, and Advanced Packaging teams to translate emerging product requirements and technology challenges into actionable test vehicle solutions. You will apply expertise in semiconductor design, physical implementation, silicon characterization, and advanced packaging technologies to define test structures, develop validation strategies, and generate data that drives product decisions across future HBM generations. Unlike a traditional product role centered on ownership of product blocks, this position emphasizes enabling learning in development and engineering. It does so by developing representative test vehicles and characterization structures. Key Responsibilities Serve as a technical lead for HBM test vehicle design and structure development within DTPCO. Partner with HBM product, technology and reliability team. Define and implement test structures targeting key learning areas such as package interaction and reliability Drive test vehicle content definition, structure specifications, measurement requirements, and validation objectives. Analyze silicon characterization and qualification results to identify optimization opportunit

Work Flexibility: Hybrid or Onsite Stryker is seeking a dynamic and visionary product development leader with a proven track record of leading large, complex product development programs through the application of systems engineering principles. As the technical quarterback, this individual will drive alignment, collaboration, and execution across a multidisciplinary global product line, ensuring teams work cohesively toward shared objectives while delivering innovative solutions that improve patient care. As medical technologies continue to evolve, our products must operate seamlessly within broader healthcare ecosystems and enabling technology platforms. This leader will be responsible for defining and overseeing system-level architectures, ensuring robust integration across hardware, software, data, connectivity, and partner technologies. They will champion a systems-thinking approach, proactively identify opportunities and risks, and ensuring our products deliver a seamless user experience while supporting the future needs of a connected healthcare environment. The ideal candidate combines deep technical expertise with exceptional leadership, influencing stakeholders across functions, geographies, and organizational levels to bring complex systems and product visions to life. https://www.stryker.com/us/en/nse.html What You Will Do Lead system architecture, technical strategy, and integration activities for complex medical device products and platforms. Translate customer, clinical, and business needs into system-level requirements and drive alignment across software, electrical, and mechanical engineering teams. Lead requirements development, allocation, traceability, and verification planning thro

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role As a Research Engineer in OpenAI's Monetization Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize mod

About the Team OpenAI’s User Operations team shepherds our customers’ 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. Within Premium Support, Dedicated Support Engineers combine deep technical troubleshooting with an enduring understanding of our most strategic customers’ architectures, critical workloads, and business priorities. Through proactive reliability work, ownership during incidents, and AI-powered support capabilities, we help customers operate successfully as their use of OpenAI grows. About the Role We’re looking for a senior leader to build and scale our Dedicated Support Engineering function globally. You will define its strategy, build the team, and establish how we deliver technically rigorous, proactive support for customers running some of the most complex and consequential workloads on OpenAI. This role combines organizational leadership, technical judgment, and executive customer engagement. You will establish a model in which DSEs develop deep customer context, independently advance difficult investigations, anticipate operational risks, and drive issues through resolution. You will also turn what the team learns into improvements that benefit customers across OpenAI. You should bring experience building technical organizations that maintain long-term accountability for enterprise customers. Leadership in Technical Account Management, enterprise Support Engineering, or a comparable technical customer function is particularly rel