Senior Business Value Engineer in United States

About the Team OpenAI’s User Operations team ensures that our customers’ experience is nothing short of exceptional. We resolve complex issues, provide guidance, and support customers in maximizing value with our products. Within User Operations, Ads Safety Operations helps OpenAI grow advertising in a way that is safe, trusted, and sustainable for advertisers, users and the business. The Ads Safety Support team sits within Ads Safety Operations and owns the advertiser-facing support journey: helping advertisers navigate ads products, policies, reviews, and enforcement decisions while turning frontline insights into better guidance, tooling, and product experiences. About the Role We’re looking for a Senior Advertiser Support Specialist to help build and scale advertiser support within Ads Safety Operations. You’ll work directly with advertisers through support tickets, escalations, owning high-impact questions related to ads policies, review outcomes, product behavior, and operational processes. Many cases will be novel or ambiguous, and you’ll be expected to investigate carefully, communicate clearly, and drive them to resolution in a fast-moving product environment. As OpenAI’s advertising ecosystem grows, your work will help advertisers operate successfully at scale while serving as a critical bridge between frontline support and the teams responsible for product quality, policy integrity, and platform safety. Beyond resolving individual cases, you’ll help define what world-class support looks like in an AI-native environment. You’ll turn support interactions into operational intelligence, identifying recurring friction, gaps in guidance, and emerging issues to improve support at scale, and protect the quality and safety of OpenAI’s ad ecosystem. You’ll partner closely with Engineering, Product, Policy, Legal and Go To Market partners to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technol

As the Senior Product Manager for the Actions & Automations team, you will own the ecosystem that enables customers, partners, and Datadog teams to build, deploy, and operate AI agents on Datadog. You will drive the strategy and execution for the platform capabilities, developer experience, integrations, and extensibility model that make Datadog the best place to build agents that understand and act on production systems. Modern engineering organizations are entering a new era where software is not only monitored and operated by humans, but increasingly by AI-powered agents. As agentic workflows reshape how teams build, operate, secure, and troubleshoot systems, customers need a platform for creating specialized agents, connecting them to business and engineering systems, governing their behavior, and extending them to solve unique organizational problems. You will define and build the ecosystem that makes this possible. Agent Builder sits at the intersection of Datadog's products, AI capabilities, and ecosystem strategy. You will have the opportunity to work across the breadth of the Datadog platform, partner with teams throughout the company, and help establish Datadog as the foundation for operational AI. 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: Define the vision, strategy, and roadmap for Datadog's Agent Builder platform and ecosystem. Own the core platform capabilities that enable customers and partners to create, customize, deploy, and manage AI agents. Drive the extensibility model for agents, including integrations, tools, actions, context sources, APIs, SDKs, and developer workflows. Shape how agents perform actions across Datadog products and third-party systems. Partner closely with AI, platform, infrastructure, and product tea

Senior Product Manager, Robotics & Autonomy What we're doing isn't easy, but nothing worth doing ever is. At Diligent Robotics, we envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Our robots operate every day in hospitals, helping healthcare staff spend less time on routine work and more time caring for patients. Operating a real-world fleet gives us something few robotics companies have: continuous customer feedback and operational data that directly shapes the next generation of Physical AI. We're looking for a Senior Product Manager, Robotics & Autonomy to define and execute the product strategy for some of the most critical capabilities in our robotics platform. You'll work at the intersection of robotics, autonomy, AI, and software engineering to translate business priorities, customer needs, and technical opportunities into a clear product roadmap that drives measurable outcomes. This role is ideal for someone who understands complex autonomous systems and enjoys working alongside world-class engineers to bring ambitious technology from concept into production. Responsibilities Own the product strategy and roadmap for key Robotics and Autonomy initiatives, balancing customer impact, technical feasibility, and long-term platform investments. Define product requirements for autonomy, navigation, perception, fleet intelligence, simulation, and robotics platform capabilities. Partner closely with Engineering, AI, Robotics, Customer Success, Operations, and Leadership to align priorities across the organization. Translate customer feedback, fleet telemetry, and operational insights into product decisions that improve robot performance, reliability, and user experience. Prioritize investments using data, customer value, technical complexity, and business impact. Drive cross-functional execution from concep

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across Airbnb. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company. This role sits within the Compensation function and will work closely with the Technology organization and cross-functional partners including Talent Directors, Recruiting, People Analytics, Finance, and Legal. The Difference You Will Make: We are looking for a Senior Compensation Partner to own Airbnb's compensation strategy for the Technology organization, covering functions such as Engineering, Infrastructure, ML/AI and Data Science. You will be the primary Total Rewards advisor to Technology leadership and the compensation point of contact for Talent Directors and Recruiting, defining how Airbnb competes for AI, ML, and frontier engineering talent. Working alongside our regional Total Rewards Partners, you will hold a global view of how we pay technical talent across all markets. Beyond your client group, you will contribute to the design and strategy of complex global programs, lead core Total Rewards priorities, and build the models and tools the broader Compensation team relies on. You are equally credible advising our most senior technical leaders and in the data behind the recommendation. A Typical Day: Serve as the senior compensation advisor to Technology leadership across func

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp’s Franchise Channel is seeing rapid growth, and as an early member of the team, you’ll have the opportunity to help scale the go-to-market engine and strategy that fuels a key growth driver for the company. At Ramp, we are looking for candidates with a proven track record of acquiring and building net new relationships with corporate and franchise partners, enabling and onboarding their businesses, and achieving consistent quota attainment and overachievement through strategic relationship development. What You’ll Do Source, qualify and conduct deep discovery with net new Franchise partners Sign partners and create comprehensive GTM plans Drive revenue for Ramp through generating referrals from franchisors and franchisees Identify and build relationships with multiple stakeholders within an organization Educate partners on Ramp’s offering and articulate the value props Hold monthly and quarterly business reviews with key partners Work cross-functionally across marketing, growth, direct sales, and product & engineering to driv

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is building out its partner ecosystem, and the Technology Partnerships team sits at the intersection of product, sales, engineering, and our growing network of third-party platforms. As a Channel Partner Manager, you'll turn Ramp's developer platform and embedded finance capabilities into scalable, revenue-generating partnerships with ISVs, embedded finance partners, and strategic tech platforms. You won't just help integrations launch; you'll make them a repeatable engine of partner-driven growth. You will be expected to source and shape partner opportunities, pitch and close co-build and co-sell agreements, own commercial success metrics, and orchestrate Ramp's internal teams and external partner teams toward meaningful activation and revenue. What You'll Do Identify, prioritize, and close high-value ISV and embedded partner opportunities where Ramp can drive meaningful TPV, activation, and revenue Pitch, negotiate, and close co-build and co-sell agreements with third-party platforms, ISVs, and strategic partners Collaborate cr

The Opportunity MongoDB’s partner ecosystem — systems integrators, ISVs, and the major cloud providers — is a strategic growth engine for the business. We’re looking for a Senior Manager, Sales Plays and Offerings to design the joint go-to-market motions that turn partner relationships into pipeline and revenue. This is a highly cross-functional, strategic role: you’ll build the sales plays and joint offerings themselves, partner with Enablement to get the field and our partners ready to sell them, instrument how they perform, and work with the Programs lead to make sure incentives reward the behavior we want to see. You will report directly to the VP of Partner Strategic Operations and act as a connective layer between Partnerships, Sales, Enablement, and Programs — translating ecosystem strategy into repeatable, measurable, field-ready motions. We are looking to speak to candidates who are based anywhere in the US for our hybrid working model. What You'll Do Build sales plays and joint offerings Design and package partner sales plays and joint solution offerings with priority ISVs, SIs, and cloud partners — defining the joint value proposition, target segment, competitive positioning, and playbook for how field and partner sellers execute it Partner with Product Marketing, Solutions Engineering, and partner counterparts to validate technical integration stories and translate them into a compelling, sellable narrative Prioritize which plays to build and scale based on market opportunity, partner readiness, and alignment to MongoDB’s strategic pillars (e.g., AI, migrations, industry verticals) Own the lifecycle of each play from concept through launch, iteration, and eventual retirement or refresh Drive partner and field enablement Partner closely with the Enablement team to translate each sales play into field- and partner-facing assets: pitch decks, battlecards, demo scripts, certification conte

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI by generating data-driven recommendations. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements. Our team’s tenets are: Actionable: Deliver insights that drive confident business decisions. Impactful: Prioritize projects based on their expected value to Airbnb. Balanced: Adapt methods to business questions and data realities, acknowledging limitations. Rigorous: Maintain methodological integrity and quantify the sensitivity of findings. Innovative: Invest in advancing measurement science and developing new methods. Influential: Share learnings across Airbnb and the broader data science community. The Difference You Will Make: We are seeking an experienced (Contract) Sr. Data Scientist for a 24 month contract with deep expertise in marketing measurement, with a particular focus on Marketing Mix Modeling (MMM) and geo-based causal inference. The ideal candidate brings strong statistical intuition and hands-on modeling experience to quantify the incremental impact of Airbnb's marketing investments across channels and geographies. They are fluent in Python, comfortable working with Bayesian frameworks, and can translate complex measurement findings into clear, actionable recommendations for senior stakeholders. A Typical Day: Marketing Mix Modeling: Design, build, and maintain MMM models that est

Become a part of our caring community The Senior Portfolio Enablement Lead is a strategic portfolio transformation role responsible for shaping and enabling Humana's portfolio operations, Agile Release Train (ART) design, and Ways of Working across the portfolio. Acting as a trusted advisor to senior executives (SVPs, VPs, and portfolio leaders), the role translates transformation strategy into scalable execution by diagnosing portfolio delivery challenges, guiding organizational design, and improving alignment, flow, and value delivery. As a Senior Portfolio Enablement Lead, you will: Partner with portfolio and organization leadership to develop and enable portfolio, aligned to enterprise portfolio operations to achieve portfolio initiatives their outcomes. Perform quantitative and qualitative assessments, including stakeholder analysis and change impact assessments, to develop data-driven change strategies for key stakeholder groups. Build and manage portfolio transformation roadmaps to drive executive buy-in and sponsor engagement across technology and business/product leadership and leadership to drive understanding and adoption of key changes Develop Release Train Engineers to our Humana Ways of Working and enterprise tooling subject matter experts for Agile Release Trains and Scrum Teams Measure effectiveness of change interventions through defined metrics and continuously evolve plans to optimize adoption outcomes Regularly report activity status to organizational, portfolio and transformation leadership; proactively escalate and help resolve risks and issues Partners with leaders to align all continuous improvement goals and objectives Partner with Release Train Engineers in the portfolio to monitor activity level of continuous improvement, adoption of Humana Ways of Working, risks patterns

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

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview Ready to build AI agents that revolutionize enterprise security? The North Security team is looking for a Senior Software Engineer to create autonomous systems that handle the complex, critical tasks security practitioners face every day. Key Responsibilities As a Senior Software Engineer focused on agentic security, you'll build intelligent systems that empower security teams. Your responsibilities will include: Build autonomous security agents that perform alert triage, secure code reviews, threat modeling, and vulnerability assessment Develop agent orchestration systems that help security practitioners automate repetitive security tasks Design and implement agent security controls to ensure our AI agents can safely interact with sensitive enterprise data Create the security infrastructure that allows agents to operate in high-trust environments with stringent deployment requirements Ship production-ready agent capabilities that run efficiently in resource-constrained environments Research and implement novel security patterns for AI agent systems, sometimes requiring custom solutions where standard libraries fal

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: We are seeking a Senior Manager, SoFi Plus Member Acquisition to help accelerate the growth of SoFi Plus within the Member Business Unit. This role will focus on overall acquisition strategies and tactics, defining our segmentation strategy, leading the development and optimization of member signup experiences across teams, and tracking all acquisition placements and performance. Success in this role will directly support our ambition to serve millions of SoFi Plus members with the best financial services subscription in the world. The role will be directly responsible for sizing addressable market opportunities, establishing key segments, and determining the unique value propositions that will resonate most for each segment. They will determine how best to address segment growth through each acquisition channel, and build the measurement framework to track impression coverage and performance, along with optimization targets. They will work cross-functionally with Product, Marketing, Data Science, Design, Engineering, Operations, and business stakeholders to launch new acquisition placements, manage launch timelines, surface dependencies, and regularly communicate progress to senior leaders. This is a highly analytical and cross-functional role for someone who can translate data into insights that

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role Is Different This is not a typical “Applied Scientist” or “ML Engineer” role. As a Member of Technical Staff, Applied ML, you will: Work directly with enterprise customers on problems that push LLMs to their limits. You’ll rapidly understand customer domains, design custom LLM solutions, and deliver production-ready models that solve high-value, real-world problems. Train and customize frontier models — not just use APIs. You’ll leverage Cohere’s full stack: CPT, post-training, retrieval + agent integrations, model evaluations, and SOTA modeling techniques. Influence the capabilities of Cohere’s foundation models. Techniques, datasets, evaluations, and insights you develop for customers will directly shape the next generation of Cohere’s frontier models. Operate with an early-startup level of ownership inside a frontier-model company. This role combines the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab. Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes. Few roles in the industry combine application, research, customer-facing engineeri

Datadog's integrations are the connective tissue between our platform and the technologies our customers run in the real world. As a Sr. PM on the Agent Integrations team, you will own the vision, prioritization, and execution for 100+ integrations that run directly inside the Datadog Agent from foundational infrastructure (MySQL, Kafka, Kubernetes) to the rapidly growing landscape of self-hosted AI and on-premise enterprise technologies. This is a high-impact, breadth-first role at the intersection of infrastructure observability and the frontier of AI-native workloads. At Datadog, we place value in our office culture; the relationships it builds, the creativity it brings, and the collaboration of being together. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Own the Agent Integrations roadmap. Determine which new integrations to build and which existing ones to improve, balancing customer demand, business impact, and engineering capacity across a catalog of 100+ technologies. Drive the expanding AI integration surface. Lead product strategy for self-hosted AI workloads, including LLM inference frameworks (e.g., Hugging Face TGI, BentoML), AI agents, MCP servers, and model orchestration tools, so Datadog customers can monitor every layer of their AI stack. Expand on-prem and hybrid coverage. Prioritize and execute new integrations for on-prem technologies including storage systems, HPC schedulers, network devices, and legacy enterprise platforms where customers run critical workloads. Build observability for ERP systems. Define and drive Datadog's strategy for monitoring enterprise ERP platforms (SAP, Oracle EBS/Fusion, Microsoft Dynamics) covering performance, job execution health, and integration layer telemetry so enterprise customers can observe their ERP stack alongside the rest of their infrastructure. Analyze adoption and customer feedback at scale. Use data from multiple sources to