Current Vs Ytd in United States

Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds the foundations for agentic systems capable of operating at scale in complex production environments. Current bets span agents that run autonomously at scale, context and memory layers that make those agents more intelligent over time, and tools that help customers build and validate AI-native services in production. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists focused on building the foundations for agents operating at scale Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality Navigate the unique challenges of shipping AI-powered products: balancing quali

We are looking for a talented engineer to lead evaluation of startup acquisition opportunities in the AI, cloud and security space. You will drive product evaluations, prepare and manage technical architecture discussions with target groups in Product and Engineering and provide roadmap suggestions for M&A and investments for Datadog. You will be a key partner to Datadog’s C-level leadership and highly visible at the most senior levels of Datadog. The role is reporting into the Senior Director of Product Strategy and falls within the Product organization. We are looking for an innovative and strategic thinker who is passionate about the latest tech being developed by startups in the cloud, AI and security space. The ideal candidate enjoys researching and evaluating new technologies, works effectively with cross-functional teams, and communicates opinions concisely to our leadership team. Broad understanding of relevant Cloud Technologies and deep understanding of the full coverage of Datadogs current offerings is necessary. The Corporate Development team is small and values authentic, strong-willed individuals who think creatively and proactively. This role leads technical due diligence from a product and architecture perspective across our acquisition pipeline. You'll scope and stand up proof-of-concept and sandbox environments to stress-test candidate products, then give an honest, unvarnished view of their quality and depth - the kind of assessment that holds up regardless of deal momentum. You'll assess technical architecture, flag the risks and open questions that matter most early, and turn that into a clear post-acquisition integration path. Working closely with engineering, you'll keep the evaluation focused on what's actually decision-relevant, then translate the findings into strategic recommendations for leadership and help carry the integration through by partnering with the right people on the other side. What You’l

We are looking for a talented engineer to lead evaluation of startup acquisition opportunities in the AI, cloud and security space. You will drive product evaluations, prepare and manage technical architecture discussions with target groups in Product and Engineering and provide roadmap suggestions for M&A and investments for Datadog. You will be a key partner to Datadog’s C-level leadership and highly visible at the most senior levels of Datadog. The role is reporting into the Senior Director of Product Strategy and falls within the Product organization. We are looking for an innovative and strategic thinker who is passionate about the latest tech being developed by startups in the cloud, AI and security space. The ideal candidate enjoys researching and evaluating new technologies, works effectively with cross-functional teams, and communicates opinions concisely to our leadership team. Broad understanding of relevant Cloud Technologies and deep understanding of the full coverage of Datadogs current offerings is necessary. The Corporate Development team is small and values authentic, strong-willed individuals who think creatively and proactively. This role leads technical due diligence from a product and architecture perspective across our acquisition pipeline. You'll scope and stand up proof-of-concept and sandbox environments to stress-test candidate products, then give an honest, unvarnished view of their quality and depth - the kind of assessment that holds up regardless of deal momentum. You'll assess technical architecture, flag the risks and open questions that matter most early, and turn that into a clear post-acquisition integration path. Working closely with engineering, you'll keep the evaluation focused on what's actually decision-relevant, then translate the findings into strategic recommendations for leadership and help carry the integration through by partnering with the right people on the other side. What You’l

The Assurance, Risk and Compliance (ARC) Initiatives team at MongoDB owns the governance and delivery of key cross-functional security risk and compliance initiatives. The team designs and executes programs that support compliance audits, risk assessments, common control frameworks, operating cadences, and executive reporting that strengthen the organization’s assurance, risk management and compliance objectives. The policy and controls governance pillar is responsible for the structure, standards and operating mechanisms that keep MongoDB’s security policies, standards, procedures, and controls governance processes current, aligned, auditable and scalable across the organization. This includes ownership of the policy lifecycle, common controls framework governance, issue management, and the review cadences and cross-functional coordination needed to maintain strong governance maturity and audit readiness. This role sits under the Assurance, Risk and Compliance function within the Global Security Office and reports to the Director of ARC Initiatives. This role will be based remotely in the United States Responsibilities: Scope of Ownership Policy governance program ownership, including policy lifecycle management, documentation standards, review and approval cadences, change tracking, and exception governance Controls governance ownership, including common controls framework lifecycle management, control harmonization, framework mapping, and processes that support audit readiness and scalable control oversight Governance over supporting systems and workflows, including Jira, GRC tooling, documentation repositories, and reporting structures, that enable consistent execution and visibility Issue management and remediation governance, including intake, triage, tracking, and reporting for timely closure of findings Executive-ready reporting and metrics for policy health, controls maturity, policy exceptions and broader program effectiveness Program Leadership Own

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As an Agentic Risk Analyst, you will shape OpenAI’s operating picture for current agentic risk across products and platforms. You will bring a strategic, system-level perspective to current risks, connecting individual incidents, technical findings, abuse patterns, and external developments to relevant workstreams, mitigations, owners, dependencies, and residual gaps. You will analyze how risks emerge through autonomy, multi-step task execution, tool use, memory, retrieval, connectors, computer-use capabilities, and multi-agent workflows, with a particular focus on both adversarial misuse and unintended system behavior. By synthesizing signals from investigations, evaluations, red teaming, security reviews, product launches, external research, and real-world incidents, you will maintain a current view of material risks and evolving threat patterns. Your work will help turn complex and often ambiguous signals into coordinated decisions and measurable follow-through across product, safety, security, policy, and governance teams. You will work closely with investigators, engineers, product, policy, safety, and security teams, and measurement and forecasting

About the Team OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. The U.S. Policy and Partnerships team sits within Global Affairs and helps translate that mission into trusted, practical engagement with civil society, community leaders, researchers, and other external stakeholders across the United States. Our current operating model is built around disciplined, cross-functional campaigns: moving from abstract persuasion to local proof, pairing policy expertise with real-world use cases, and working with trusted validators who can help communities understand, shape, and benefit from AI. The team works closely with colleagues across Global Affairs, Legal, Safety, Communications, Product, Research, and other functions to build relationships that are substantive, durable, and grounded in two-way learning. About the Role As U.S. External Affairs Associate, you will work with the team leads to help advance OpenAI's engagement with civil rights organizations, civil society groups, researchers, community-based organizations, and other external stakeholders shaping the AI policy debate in the United States. This role is central to the team's partnership and outreach operating model. You will help identify priority stakeholders, design engagement strategies, and build the external relationships and feedback loops. The work is not about one-way education; it is about co-design, listening, product and policy learning, and creating concrete proof points that can strengthen public trust. Reporting to the External Affairs Lead, you will work across the U.S. Policy and Partnerships team and in close coordination with State and Local Policy, Federal Affairs, Communications, Safety, Legal, Product, and Research. OpenAI is evolving quickly as we release new research, products, and tools. Day-to-day work may include representing OpenAI at convenings, designing a stakeholder strategy around a fast-moving policy issue, organizing partner briefi

About the Team The Synthetic RL team develops reinforcement learning methods that leverage synthetic data, environments, and feedback to train and evaluate frontier AI models. The team explores approaches such as self-play, simulators, and other synthetic evaluations to push model capability, generalization, and alignment beyond what is possible with the current prevailing methodology. About the Role As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You’ll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems. We’re looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained. 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 to new employees. In this role, you will: Research and develop reinforcement learning algorithms Design and run experiments to study training dynamics and model behavior at scale Collaborate with engineers and researchers to integrate successful approaches into model training pipelines You might thrive in this role if you: Have a strong background in reinforcement learning, machine learning research, or related fields Have strong engineering and statistical analysis skills Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving Are motivated by seeing research ideas influence real-world AI systems 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 ex

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions tailored to the demands of advanced AI workloads. We work across the full stack—from silicon to system integration—partnering closely with internal teams and external vendors to define and deliver next-generation AI infrastructure. Our team focuses on defining scalable, high-performance system architectures and reference designs that balance performance, cost, and operational efficiency across rapidly evolving technologies. About the Role We are seeking a 3P Architect to define and drive rack- and cluster-level reference designs in collaboration with external partners. This role is responsible for translating workload requirements and system-level goals into concrete architectures, aligning partners on critical design attributes, and ensuring vendor roadmaps meet our infrastructure needs. You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities. This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems. 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 Define rack- and cluster-level reference architectures for AI infrastructure deployments. Translate workload requirements into clear system design specifications and partner deliverables. Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors. Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability). Identify gaps in current technology offerings and dr

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE TEAM: We exist to improve Product leaders’ understanding and decision-making on how to profitably grow the business. Our North Star is to increase workload contribution margin dollars above the current forecast by serving as an objective, full-stack business partner. We do this by measuring key metrics, inferring actionable insights, catalyzing strategic decisions, and accelerating operational efficiency across Product, Engineering, and Sales. ABOUT THE ROLE: This is a high-visibility role that sits at the intersection of product strategy and financial analysis, giving you a unique vantage point to influence how we scale our business. We aren't looking for someone to just execute tasks and pull data; we need a partner who can navigate ambiguity, drive workstreams, and anticipate the next steps. This role is best for proactive problem-solvers with business intuition and a high level of curiosity. You will work on critical projects and collaborate with executives to turn complex data into decisive action. WHAT YOU WILL DO: Develop & Maintain Financial Models: Build and iterate on financial models that track both revenue and cost drivers, enabling accurate forecasting and real-time visibility into workload contribution margins. Drive Revenue & Margin Insights

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Enterprise sales team is expanding and we are seeking a qualified Account Executive with expertise in the industry. In this role you will use your creative prospecting skills to strategically pursue net new business and expand business for current customers. Your role will encompass prospecting, developing, and closing business within a timely manner while focusing on the clients’ requirements. This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects. You will be successful in this role if you are able to act with autonomy, take accountability and be open to new perspectives and ideas. Our team carries a deep curiosity to learn and are always looking for innovative ways to meet and exceed our customers needs. AS AN ACCOUNT EXECUTIVE AT SNOWFLAKE YOU WILL: Become an expert on Snowflake’s product and conduct discovery calls, customized demos, and presentations to prospective customers Be the trusted advisor to the customer by understanding their existing and future IT roadmap to drive the Snowflake solution within the marketplace Prospect qualification and the development of new sales opportunities and ongoing revenue streams Land, adopt, expand, and deepen sales opportunities with accounts in your region Achieve sales q

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Enterprise sales team is expanding and we are seeking a qualified Account Executive with expertise in the industry. In this role you will use your creative prospecting skills to strategically pursue net new business and expand business for current customers. Your role will encompass prospecting, developing, and closing business within a timely manner while focusing on the clients’ requirements. This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects. You will be successful in this role if you are able to act with autonomy, take accountability and be open to new perspectives and ideas. Our team carries a deep curiosity to learn and are always looking for innovative ways to meet and exceed our customers needs. AS AN ACCOUNT EXECUTIVE AT SNOWFLAKE YOU WILL: Become an expert on Snowflake’s product and conduct discovery calls, customized demos, and presentations to prospective customers Be the trusted advisor to the customer by understanding their existing and future IT roadmap to drive the Snowflake solution within the marketplace Prospect qualification and the development of new sales opportunities and ongoing revenue streams Land, adopt, expand, and deepen sales opportunities with accounts in your region Achieve sales q

The Sr. Enterprise Applications Analyst, Order Management owns the health and evolution of TaylorMade's Oracle EBS Order-to-Cash platform across global operations. This role translates business requirements into scalable O2C solutions, partnering with Sales, Operations, Finance, and Supply Chain to keep systems aligned with commercial goals. Reports to the Solution Architect, ERP Applications. Essential Functions and Key Responsibilities Configure and maintain Oracle OM module setups: order types, transaction types, workflow assignments, hold definitions, pricing rules, and shipping parameters. Deliver end-to-end O2C support spanning Order Entry, Pricing, Scheduling, Shipping Execution, and Receivables integration, including inbound and outbound EDI order flows. Gather and document business requirements using Oracle AIM methodology; translate into functional specifications for technical development. Analyze current-state processes, quantify gaps, and design Oracle-standard solutions that deliver measurable efficiency gains. Develop and execute test plans for functional, SIT, and regression scenarios; perform root cause analysis on production defects. Support Oracle EBS integrations with third-party systems including WMS, 3PL, and EDI platforms across O2C processes. Create and maintain functional design documents, configuration workbooks, and end-user training materials. Knowledge and Skills Requirements Deep functional expertise across Oracle EBS O2C modules: Order Management, Advanced Pricing, Configurator, ATP/Global Order Promising, Shipping Execution, Inventory, and Receivables. Functional understanding of RICEW object design and O2C-adjacent integration architecture. Strong analytical and problem-solving skills with attention to detail. <

Bay Yield & Occupancy Optimization The foundation of this role is treating each bay as what it is: perishable, time-limited inventory. This leader will own RevPAB as the enterprise performance standard — building the reporting, forecasting, and incentive structures that hold venues accountable to yield performance. Own Revenue Per Available Bay Hour (RevPAB) as the primary enterprise performance metric and build the organizational discipline around it Establish occupancy targets by venue, daypart, day of week, and season — and create visibility into performance against those targets Develop booking controls, minimum duration rules, and real-time availability tools to minimize empty bay-hours during peak demand Build waitlist and cancellation management capabilities to recover revenue from late cancellations and no-shows Set Average Daily Rate (ADR) benchmarks and yield performance standards across the portfolio Dynamic Pricing Engine Topgolf has the opportunity to move from static national pricing to a true dynamic pricing model — one that adjusts bay rates in response to real-time demand signals the way leading hotel and airline systems do. This is the most consequential technical build this role will lead. Lead the design, procurement, and implementation of a Revenue Management System (RMS) suited to Topgolf's bay-inventory model Build pricing logic that responds to booking pace, current occupancy, historical patterns, booking window, and local market conditions Develop differentiated rate curves by day of week and daypart that reflect actual guest willingness to pay Partner with Technology and Data to automate pricing recommendations and reduce manual intervention over time Establish a testing and optimization framework for pricing changes — moving from intuition-based to data-driven pricing decisions

Must be in Dallas, TX or New York City Topgolf is seeking a Sr. Media Sales Manager, Partnerships to drive advertising revenue across our full suite of owned and operated media channels. This role owns revenue generation across programmatic, out-of-home / in-venue media, owned digital properties (website and app), and streaming and content monetization - representing the complete Topgolf media ecosystem to agencies, holding companies, and trading desks. The right person is a proven media seller with deep agency relationships and strong programmatic fluency, who knows how to get Topgolf into media plans and deal libraries and can close across multiple channel types. Brand-direct opportunities are handled in partnership with Sponsorship Sales; this role’s primary motion is agency and trading desk. This is a hunter role on a lean team - the person who takes ownership, builds relationships fast, and figures out how to get deals done. Programmatic & Owned Channel Revenue Own programmatic revenue targets: build and manage a pipeline of DSPs, SSPs, agency trading desks, and programmatic buyers to drive net new and recurring revenue Serve as the internal and external expert on programmatic media - PMP deals, programmatic guaranteed, open auction, and emerging deal structures across Topgolf’s full digital inventory with a goal of balancing revenue generation while maintaining premium CPMs Partner with Ad Ops and Product to define inventory strategy, floor pricing, and deal packaging; identify gaps and proactively recommend enhancements Stay current on the programmatic ecosystem - DSP/SSP technology, audience trends, measurement standards, and the competitive landscape - and communicate complex topics clearly to buyers and internal stakeholders Sell advertising across Topgolf’s owned digital properties (website, mobile app, content and social channels) - packaging display, native,

ABOUT TOPGOLF Topgolf is a sports entertainment company that has changed how millions of people experience golf — and a genuinely energizing place to build a career. Every year, guests pack our venues for something that is hard to find elsewhere: hitting balls at a target-lined outfield, watching their shot traced in real time on multiple screens, with great food and good company alongside. With 100&#43; venues across the globe and proprietary Toptracer technology embedded in our guest experience and licensed to broadcasters and courses worldwide, Topgolf sits at a distinctive intersection of entertainment, hospitality and technology—with meaningful opportunities to improve performance and grow. THE ROLE The VP, Corporate Finance & Strategy will lead Corporate FP&A, Treasury and Strategic Planning. Reporting to the CFO, this leader will own enterprise planning, the consolidated financial outlook, liquidity, capital structure, capital allocation and the narrative presented to the Board and investors. This leader will partner closely with the VP of Commercial Finance, whose team oversees Venues FP&A, Toptracer FP&A, Business Intelligence and Financial Systems, to consolidate the commercial outlook into a complete enterprise view of the P&L, balance sheet, cash flow and long-range plan. The mandate is to simplify how Topgolf plans, build a scalable Treasury function, identify opportunities and risks early, and help leadership balance current business needs with investments required for long-term growth. WHAT YOU’LL OWN Corporate FP&A and Enterprise Planning Own the three-statement financial model, annual operating plan, forecasts and long-range plan. Lead an efficient, driver-based budget and forecast process with clear assumptions, inputs, owners and deadlines. Integrate commercial perfo