About the Team OpenAI Finance helps ensure the organization is set up for success in pursuit of its mission of ensuring that artificial general intelligence benefits all of humanity. Within Finance, the Revenue Accounting, Technical team partners with Product, Strategic Partnerships, Business Development, Growth, Legal, Deal Desk, GTM, Strategic Finance, Revenue Accounting, and Finance Systems to enable scalable, operationally sound monetization. We advise on commercial and contract design, establish clear accounting positions under ASC 606, and translate those conclusions into repeatable processes, systems, controls, and reporting. About the Role We’re looking for a Manager of Revenue Accounting, Technical to drive the end-to-end technical revenue and operational workstream for OpenAI’s strategic commercial deals—from early structuring and deal-desk review through contracting, launch, and ongoing governance. Reporting to the Head of Revenue Accounting, Technical, you will serve as a key revenue advisor for complex and non-standard strategic deals, translating commercial objectives into revenue models that are economically sound, accounting-compliant, and operationally executable. You will partner with senior team members on the most novel or high-risk matters across strategic collaborations, cloud marketplaces, platform and distribution deals, licensing and revenue-share models, joint go-to-market initiatives, research collaborations, and other emerging commercial structures. You will engage from the earliest stages of a deal to shape economics, pricing, commercial terms, contract language, and product design; define the supporting data, billing, settlement, reporting, systems, controls, and revenue-recognition model; and drive cross-functional readiness through launch. After launch, you will help govern amendments, monitor whether the model is operating as intended, resolve execution issues, and evolve the approach as the partnership or business model changes. Thi
Jobs in United States
Product Marketing Specialist in United States
4,528 active opportunities · Updated October 2026
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Explore current product marketing specialist jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.
About the role As a Pricing Strategist focused on GTM, you will help shape pricing strategy for B2B enterprise customers across our product portfolio. Working within Finance and partnering with GTM, Sales, and Product, you will focus on pricing analytics, price performance, and the effectiveness of credit programs while contributing to broader commercial strategy. In this role, you will Build regular pricing-performance reviews, analyze discounting and concessions, and turn findings into better pricing guidance. Develop commercial strategies and pricing programs for customer segments such as education, startups, and government. Define objectives and success measures for credit programs and promotions, and evaluate their return on investment. Translate segment goals and product pricing strategy into scalable pricing frameworks and commercial structures. Partner on strategic enterprise deals to align commercial proposals with sound deal economics and pricing strategy. You might thrive in this role if you Approach problems from first principles, identify root causes, and develop clear options for stakeholders. Work effectively through ambiguity and differing perspectives. Understand how sales organizations operate and collaborate well across GTM strategy, Finance, and Product. Bring relevant experience from consulting, strategy and operations, or pricing, particularly work involving analytical teams. Experience with pricing analytics, pricing frameworks, discounting guardrails, or new-product pricing is helpful, but a strictly pricing-specific background is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we mu
$162.9K – $271.5K/yr
Role Summary The Director, Consumer Products & Surfaces leads the product-specific strategy, development, and delivery of Pfizer’s branded and select unbranded digital properties. This individual will act as the product lead for all branded websites and owns the product execution of how brand content connects to the external surfaces where patients and consumers increasingly encounter it — search, AI assistants and answer engines, and syndication partners. This is an individual contributor role for someone who can think in big-picture product strategy and drive hands-on execution. Working from the business case and strategy set by the Ecosystem Strategy team, the Director defines what branded surfaces should become as content consumption shifts from destinations to sources and delivers the roadmap that gets them there. Role Responsibilities Product Strategy & Definition Leads branded website development end-to-end, determining what a successful branded experience looks like and how it is measured. Decide which features and capabilities branded surfaces should prioritize, translating the ecosystem strategy, business case, consumer insight, and performance data into a coherent roadmap. Translate the ecosystem strategy for branded and unbranded surfaces into product decisions, partnering with Ecosystem Strategy on roles, audience handoffs, and journey logic across properties. Own the product execution of brand content connectivity to external surfaces — the content structures, infrastructure, and integrations that make branded content machine-readable and discoverable — partnering with Strategy on which surfaces to prioritize and the portfolio posture toward each. Champion human-centered design methodology to ensure product decisions are grounded in real consumer needs rather than assumption or internal preference. Produc
Job Overview Wargaming’s Center for Player Insights is hiring an experienced UX Researcher to champion player needs and inform product decisions across live-service and in-development titles. You will partner closely with game teams, including UX Design, Game Design, Product Management, and Product Analytics, to frame research questions, select the most suitable methods, and run both in-lab and remote UX research studies. You’ll synthesize findings into clear, actionable recommendations that influence roadmaps and player experience quality. Reports to Director of Player Insights What will you do? Plan, design, and run research across the product lifecycle, including usability testing, playtesting, longitudinal or diary studies, concept testing, focus groups, and one-on-one interviews, both in person and remotely. Translate stakeholder questions into clear business goals and research objectives. Define research hypotheses and sampling plans. Manage studies end-to-end, including scoping, design, recruiting oversight, moderation, analysis, reporting, and presentations. Drive timelines and keep stakeholders aligned across multiple projects. Partner with Research Operations on participant recruitment and incentives, and lab or remote setups. Uphold research ethics and data privacy best practices. Synthesize and communicate actionable insights and recommendations tailored to game teams, ensuring findings are clear, prioritized, and easy to act on. Contribute to the Center for Player Insights’ research strategy and evangelize user-centric development across Wargaming. Stay current on industry trends and play Wargaming titles to build deep product understanding. Be willing to occasionally adjust working hours for participant availability with advance notice, including late evenings on weekdays. What are we looking for? 2+ years of hands-on UX or user research experience in a business environment, with demonstrated end-to-end ownership of studies, independently scopin
Citi Wealth is a leading provider of financial solutions for affluent, high net worth and ultra-high net worth clients around the world. Our Private Bankers, Financial Advisors and Product Specialists act as trusted advisors to many of the world’s most successful and influential individuals and families. We provide global insights informed by deep local knowledge and help deliver the complete financial management strategies that today’s wealth requires. Our comprehensive services are tailored to individuals and families, including entrepreneurs and business owners, single-and multi-family offices, senior corporate executives, next generation/inherited wealth, law firms and attorneys. From investment strategy, to banking, to lending and cash management we are here to support our clients comprehensively. Our goal is to deliver a premier level of service while helping clients preserve, grow and manage their wealth. Lending is a key product offering within Citi Wealth. Lending provides competitive borrowing solutions that are strategically integrated into our client’s broader Wealth Management goals. Our team provides lending solutions across all four client segments including Citi Private Bank, Wealth at Work, Citi Private Client and Citigold as part of their wider Citi relationship. US Credit Card solutions are provided to Wealth clients via US Consumer Cards. This role will oversee the relationship with US Consumer Cards in partnership with our Wealth Business and Operations teams. This role will sit within the Wealth Lending Business Strategy and Governance, which is part of the Citi Wealth Lending team. Key Responsibilities Support the ongoing development and enhancement of the Wealth US Credit Card offering in partnership with US Consumer Cards Act as a key point of contact for Bankers and Financial Advisors for US Cards-related inquiries and escalations Assist in managing d
$124.4K – $207.4K/yr
ROLE SUMMARY PGS’s Environmental Sustainability team manages environmental sustainability risks and opportunities across the enterprise and drives the integration of sustainability into business strategy, operations, product development, and supply chain management to support Pfizer’s 2040 Net Zero commitment and broader environmental ambitions. In this role, the Environmental Senior Manager is responsible for developing strategies and solutions related to climate, biodiversity and nature, and product sustainability programs across Pfizer’s internal and external manufacturing network, which includes leading projects and programs both within PGS and across Pfizer, and developing and managing plans to achieve objectives. The role applies advanced knowledge of environmental sustainability and related disciplines to design programs that enable the organization to meet strategic objectives, while anticipating internal and external business, regulatory, and compliance issues. The role partners with External Supply and Procurement to progress net zero delivery with suppliers and serves as an advisor across the organization by providing technical support and guidance, and by working collaboratively to solve problems. In addition, the role helps implement the framework used to track and assess emerging environmental regulations and associated business risk across the geographies in which Pfizer operates. Finally, the Sr Manager Sustainability leads cross-functional teams, driving alignment and broader organizational outcomes without relying on direct reporting authority. It operates independently in many situations, identifies innovative solutions to complex problems, exercises foresight and judgment, and recommends courses of action. The role is recognized internally and externally as a subject matter expert in sustainability. Develop and implement sustainability strategies and programs, inclu
1743 - This position is in Austin, Texas. Position Summary We are seeking an experienced Board-Level Hardware Validation Engineer to define and execute the validation and verification of complex electronic systems throughout the product lifecycle. This role is responsible for defining validation strategies, developing test plans, executing hands-on testing, analyzing failures, and working directly with ODM partners to ensure products meet performance, reliability, quality, and compliance requirements before mass production. The ideal candidate combines strong electrical engineering fundamentals with practical lab expertise and is comfortable personally performing validation activities while coordinating with cross-functional teams and manufacturing partners. Key Responsibilities Validation Strategy & Planning Define comprehensive board-level and inter-board validation plans based on product requirements, design specifications, and customer use cases. Develop validation methodologies covering functional, electrical, thermal, power, signal integrity, reliability, and stress testing. Establish test coverage, acceptance criteria, qualification requirements, and release gates. Review hardware architecture, schematics, component specifications, and interface topologies to identify validation risks early in the design cycle. Define incremental validation and regression coverage for component substitutions, design changes, and firmware updates. Hands-On Validation Execution Develop, automate, and execute validation tests on prototype and production-intent hardware. Perform board bring-up, functional verification, electrical characterization, and system-level integration testing. Validate communication interfaces, control signals, and timing requirements. Verify power sequencing, reset behavior, leakage current, and recovery across operating states. Execute temperature and voltage corner testing against approved operating limits. Use oscilloscopes, logic an
$100K – $150K/yr
Overview: Guidepoint is looking for an entrepreneurial and outgoing individual to join its Insights business. The Insights product is an offering for Guidepoint's Institutional investment and corporate clients, that offers teleconferences, surveys, and in-person events. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e. private equity/hedge fund), sell-side equity research analysts, and industry professionals. This is a hybrid role in New York City. What You'll Do: Promote and represent the Guidepoint Insights product to our institutional clients including traditional asset managers, hedge funds, family offices and private equity firms. Focus on increasing penetration and usage of the Insights product across Guidepoint's existing client base. Using a high-touch approach (phone, email, Bloomberg, in-person meetings), highlight upcoming events to the appropriate clients and foster dialogue with Guidepoint sector specialists. Correctly map client preferences (sector focus, frequency of email notifications) across organizations to ensure the right content is delivered to the right individuals. Form critical relationships with Portfolio Managers and Analysts to understand their research needs, collect feedback and explain our value proposition. Conduct outbound prospecting to help generate new account leads. Work closely with the Guidepoint’s analysts to understand key upcoming events and summarize takeaways from recent teleconferences. What You Have: Excellent communicator capable of calling on high-profile clients at hedge funds, mutual funds and private equity. Broad based knowledge of the sales process from lead generation to relationship management. Comprehensive understanding of the institutional invest
From $80K/yr
Datadog Sales Engineers help qualify and close opportunities with customers and partners by providing technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various cross-functional teams to resolve customer concerns, escalate issues, advocate for customer needs, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we'd love to meet you! 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: Partner with the Customer Success team to articulate Datadog's value proposition, vision, and technical strategy throughout the sales cycle. Continually learn new technologies to build competitive knowledge, technical skill, and credibility Deliver value-driven product and technical presentations to Datadog customers Have a direct line of communication with the product team to collaborate on feature requests Help clients onboard the product and assist when they run into roadblocks Think creatively to solve a wide variety of technical challenges throughout the sales cycle Who You Are: Has 1 year or more of experience in a technical sales and/or post-sales role Has working knowledge of cloud infrastructure, modern application architectures, observability, and/or DevOps technologies Enjoys collaborating and teaming up with others Demonstrates strong written and oral communication skills Comfortable and confident in delivering technical presentations & demos Can multi-task, manage time well, and be responsive to others Curious, adaptable, and eager to continually learn and expand technica
About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex
About the Team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are seeking Software Engineers (Emerging Talent) to join our Applied Engineering team. You’ll work in a highly iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs. In this role, you will: Own the development of new customer-facing ChatGPT and OpenAI API features and product experiences end-to-end Talk to users to understand their problems and design solutions to address them Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products Optimize applications for speed and scale Create a diverse and inclusive culture that makes all feel welcome. Your background looks something like: Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 0-1 years of experience in software engineering or a relevant field Proficiency with JavaScript, React, and some backend languages (we use Python) Some experience with relational databases like Postgres/MySQL Interest in AI/ML (direct experience not required) Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadl
From $54K/yr
As a Customer Success Associate, you will focus on the long term strategic relationship with our customers, drive adoption, and identify growth opportunities across a high volume of Datadog customers to ensure successful product use and retention. You’ll be an advocate for the customer internally and focus on providing a positive experience for a high volume of accounts. Associates follow a well-defined methodology to identify the customer’s unique needs and clearly convey the value of the Datadog product. As we scale our Customer Success team, furthering personal development and team success is a top priority. 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: Identify target opportunities, manage the full sales cycle and proactively build strategic relationships with customers and focus on retention. Manage requests from your book of business such as but not limited to technical support escalations, billing questions, documentation/enablement requests to ensure a positive customer experience Pivot account management strategy based on different customer requirements and needs seamlessly and efficiently Act as an advisor to customers to ensure they’re leveraging the solution effectively Monitor and identify usage trends to uncover renewal risks and support greater adoption rates Collaborate cross-functionally with internal Datadog teams (support, product, finance, and legal) Who You Are: Customer-minded, always trying to provide the most value possible Driven and motivated by a career in sales with a strong desire to grow a career in Customer Success. A strong communicator (written and verbal) with excellent attention to detail Experienced in independently negotiating contract terms and overcoming pricing objections for up-sell/cross sell activit
From $54K/yr
As a Customer Success Associate, you will focus on the long term strategic relationship with our customers, drive adoption, and identify growth opportunities across a high volume of Datadog customers to ensure successful product use and retention. You’ll be an advocate for the customer internally and focus on providing a positive experience for a high volume of accounts. Associates follow a well-defined methodology to identify the customer’s unique needs and clearly convey the value of the Datadog product. As we scale our Customer Success team, furthering personal development and team success is a top priority. 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: Identify target opportunities, manage the full sales cycle and proactively build strategic relationships with customers and focus on retention. Manage requests from your book of business such as but not limited to technical support escalations, billing questions, documentation/enablement requests to ensure a positive customer experience Pivot account management strategy based on different customer requirements and needs seamlessly and efficiently Act as an advisor to customers to ensure they’re leveraging the solution effectively Monitor and identify usage trends to uncover renewal risks and support greater adoption rates Collaborate cross-functionally with internal Datadog teams (support, product, finance, and legal) Who You Are: Customer-minded, always trying to provide the most value possible Driven and motivated by a career in sales with a strong desire to grow a career in Customer Success. A strong communicator (written and verbal) with excellent attention to detail Experienced in independently negotiating contract terms and overcoming pricing objections for up-sell/cross sell activit
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Fraud Data is the data science and machine learning team within Plaid’s Fraud organization, responsible for using data and ML to improve and scale Plaid’s fraud products. Within Fraud Data, the Customer & Product Intelligence team focuses on understanding product performance, uncovering customer insights, and enabling go-to-market teams with data-driven solutions. The team partners closely with customers and GTM teams on fraud analyses and proofs of concept, turning customer learnings into scalable, reusable product capabilities. We also build the metrics, analytics, and data foundations that measure product health, identify opportunities for improvement, and guide product decisions across Plaid’s Fraud portfolio. As a Data Science Manager, you will lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, develop its data scientists, and remain involved in analytical methods, technical reviews, and customer investigations. You will: Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team. Define product metrics, their underlying data, and reporting and
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Team Product Platform builds and owns the shared foundations the rest of Replit is built on, spanning the full stack so every other team can ship features safely and quickly. Identity & Authorization defines how people, agents, sandboxes, and services prove who they are and what they can do. These systems protect critical product and service interactions across Replit's web product, Agent, enterprise controls, and internal services. Our work is high-leverage and horizontal: when identity and policy are clear, reliable, and easy to adopt, every other team can move faster without rebuilding security controls. We are a small, collaborative team that values curiosity and clear thinking over pedigree, and we work in the open by bringing each other the problem rather than just the request. We care more about how you reason and build than the route you took to get here. About the Role As a Software Engineer , you will design, build, and operate the identity and authorization systems that protect critical interactions on Replit, including Agent acting on behalf of a user or holding their own identity. The work is guided by a few simple questions: Can every protected request prove which workload made it, which principal it represents, and who is acting on that principal's behalf? Can product teams express policy once and trust the same decision across web, mobile, Agent, and internal services? Can enterprise administrators control who can access each workspace, app, connector, and Agent capability without navigating a permission maze as well as having a legible ledger of decisions? Can Agent act for a user across long-running and durable work without receiving broad or long-lived credentials? Are identity and auth
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