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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. LEAD. STRATEGIZE. TRANSFORM. JOIN US AS A PROFESSIONAL SERVICES PRACTICE MANAGER! Are you ready to own your impact at the forefront of the data revolution ? As a Services Practice Manager , you’ll be a key driver in transforming businesses through cutting-edge cloud data solutions . You’ll collaborate with top-tier clients, strategize with elite sales teams, and lead groundbreaking professional service engagements —all while working with the best minds in the industry! This role is completely remote and can be based anywhere in the Eastern Timezone. WHY THIS ROLE? Be a Market Leader: Own and execute a strategic vision for Professional Services. Drive Meaningful Change: Work with clients to unlock the power of data and fuel digital transformations. Lead from the Front: Manage high-impact projects, ensure seamless delivery, and drive revenue growth. Collaborate with the Best: Work cross-functionally with top industry experts to shape the future of cloud data solutions. Crush Your Goals: Meet and exceed bookings, utilization, and consumption targets while delivering exceptional customer experiences . WHAT YOU’LL DO: Spearhead services sales execution and project delivery success for key accounts. Engage C-level executives to create and execute services roadmaps that drive real

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. We’re looking for a Senior Manager to lead our App Experience & Marketplace Data Science team in the Product organization. You will lead a team covering app experience (UI, growth platform, analyst/admin/data engineer tools and experience) and data marketplace areas. Well designed high value apps are essential to make it simple for our customers to complete billions of SQL queries, deploy python, and use powerful AI tools every day Data marketplace makes it easy with a click of a button to get access to a wide range of 3rd party data instead of having to contact a sales representative at a data vendor and setup and maintain a complex API. All the projects above allow the data scientist to work on very large datasets, and a variety of diverse interesting projects that span the domains of data engineering, analytics, statistics, and machine learning. In this role, you will both lead a team, and be hands-on as a tech lead in this area. The manager will interact frequently with senior management, product managers, and engineering managers. The ability to effectively communicate complex technical ideas to a wide audience is crucial. IN THIS ROLE YOU WILL: Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e.g

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. Director, Marketing Operations The Director of Global Marketing Operations will lead Snowflake’s global strategy, platforms, and teams that power a modern, scalable, AI-forward marketing organization. This role emphasizes scalable process design, intelligent automation, and cohesive platform architecture to deliver high-volume, world-class campaigns and stakeholder services across regions. This role requires a strong perspective on investment strategy and timing, balancing foundational system evolution with ongoing campaign execution to deliver near-term impact while building for long-term growth. The Mops Director will lead and develop a high-performing global organization and partners closely with Marketing, Sales, Finance, IT, and external agencies to ensure Snowflake’s demand engine is efficient, compliant, and built to scale. YOU’RE A GREAT FIT IF YOU: Have 10+ years of experience in marketing operations, including 5+ years leading teams in high-growth B2B software environments Are AI-forward, with experience applying automation, AI, and workflow orchestration to standardize processes and reduce manual effort Have deep expertise in top-of-funnel strategy, lead lifecycle management, and conversion optimization tied directly to pipeline impact Have managed agency and con

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 The Finance Data Science team owns the forecasting systems that power Snowflake’s financial planning, operating cadence, and long-term strategy. Our work informs executive decision-making, corporate planning, investor reporting, and cross-functional decisions across Finance, Sales, and Product. We build and operate production forecasting systems for Snowflake’s core money-in metrics, with a particular focus on revenue and bookings in a consumption-based business. Our forecasts are highly visible, widely used, and foundational to how the company plans and operates. This is a high-trust team operating at the intersection of statistical modeling, production systems, and financial decision-making. The Role We are hiring a Senior Applied Scientist to own and advance mission-critical forecasting systems used across the company. This role is not just about building models. It is about developing reliable, explainable, production-grade forecasting systems that leaders can trust to make decisions. You will work on high-impact, open-ended problems involving revenue forecasting, customer consumption behavior, workload ramps, renewals, and other leading indicators that feed Snowflake’s broader financial planning processes. You will partner closely with Finance, Sales, Pr

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. Are you passionate about helping organizations unlock the power of AI through modern data architecture? Snowflake is looking for a customer-facing Solution Engineer who combines strong technical depth with executive presence and a passion for innovation. In this role, you’ll partner with Sales to guide customers from raw data to real AI impact — architecting scalable solutions, delivering compelling demos, and influencing complex buying decisions across executive and technical audiences. Location: Candidate MUST be located in or near Boston. What You’ll Do Lead customer conversations on AI strategy and data modernization. Design and demonstrate scalable data and AI solutions using SQL and Python. Support enterprise Proof of Concepts from concept to value realization. Translate complex technical concepts into measurable business outcomes. Navigate objections and competitive dynamics in high-stakes sales cycles. Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery. What You Bring Strong SQL proficiency and experience with modern data warehousing. Experience using Python for analytics or ML workflows. Familiarity with AI/ML concepts, including Generative AI and LLMs. Exceptional communication skills across technical and executive audiences. Abil

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 The Finance Data Science team owns the forecasting systems that power Snowflake’s revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates. The Role As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models. What You’ll Do Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics. Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulat

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Social Media Manager is responsible for managing and optimizing the company’s organic social media presence across priority platforms, driving engagement, brand visibility, and alignment with corporate communications and marketing objectives. This role owns day-to-day channel management and campaign delivery, while contributing to social media planning, content strategy, and performance optimization. The position translates business and corporate messaging into compelling social content, ensuring consistency in voice, tone, and brand standards. Working cross-functionally with Corporate Communications, Marketing, Product, and Sales teams, this role helps shape social media initiatives, using data and insights to continuously improve content effectiveness and audience engagement.

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Events & Experiences Associate supports the planning and execution of B2B marketing events that build awareness, generate qualified engagement, strengthen client relationships, and contribute to commercial growth for Dun & Bradstreet. This role helps deliver high-quality experiences across trade shows, hosted programs, field events, webinars, and virtual event formats. The position partners closely with Sales, Marketing Operations, Creative, Analytics, vendors, and external partners to support event logistics, attendee strategy, production readiness, follow-up, and performance reporting with consistency, attention to detail, and alignment to business objectives.

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Marketing Manager (Public Sector) is responsible for developing and executing strategic marketing programs to drive awareness, engagement, and pipeline growth across U.S. and Canadian public sector markets. It translates corporate narrative into mission-relevant campaigns tailored to federal, state, and local government audiences. This role collaborates closely with Sales and Global Marketing, Brand & Communications teams to deliver integrated campaigns, events, and measurable outcomes across the customer journey.

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Product manager Go-to-Market (GTM) is responsible for leading the strategy, planning, and execution of launch and post-launch activities relating to D&B’s software partnerships, as well as our Industry vertical practices. They work closely with cross-functional teams including strategic partnerships, industry practice leads pricing, marketing, sales, sales enablement, implementation, delivery, and customer success to ensure a seamless and impactful introduction to the market with the alignment across all key teams globally. This role focuses on maximizing D&Bs value proposition & growth objectives by ensuring our services are available and fully activated via the best partnerships & industry verticals. Comfortable collaborating regularly with European team members and willing to work across varying time zones to support global business needs.

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About the Team The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI. TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission. About the Role We’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale. In this role, you will: Design eval pipelines that are reliable, reproducible, and extendable Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows. Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows

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

At Datadog, our Office Operations team runs the day-to-day operations to keep our employees safe, happy, and productive. This dynamic team works closely with leadership and staff to ensure that Datadog scales smoothly and continues to be a fantastic place to work. Every day brings new challenges and opportunities for collaboration and growth. What You’ll Do: Act as the face of Datadog by welcoming visitors and supporting employees in the office. Act as the primary point of contact for all in-office needs, creating a friendly, helpful, and professional environment Own and lead daily floor walkthroughs, identifying and resolving operational issues proactively to maintain a high standard of cleanliness, safety, and functionality Cultivate and maintain positive working relationships with building management & vendor partners Partner with the Security team to ensure the implementation of all safety protocols Serve as a main point of contact for incoming service tickets, ensuring timely updates, proper prioritization, and follow-through Work with vendor partners to keep the office stocked with food, snacks, and pantry supplies, ensuring everything meets our Datadog standard for quality and consistency Maintain inventory of office supplies and ensure timely restocking to support daily operations Arrange fun and engaging events for employees - both on a monthly cadence and an ad hoc basis Work closely with teammates to maintain smooth office operations and ensure consistency across all workplace processes Where required, work alongside various Operations teams to assist with office moves, build-outs and openings Who You Are: A true people person, with an empathetic and friendly demeanor A quick learner who loves tackling challenges and streamlining processes Exceptional time management skills with the ability to multitask effectively A self-starter who takes initiative and drives projects forward Calm and even-tempered, able to maintain composure under press

At Datadog, our Office Operations team runs the day-to-day operations to keep our employees safe, happy, and productive. This dynamic team works closely with leadership and staff to ensure that Datadog scales smoothly and continues to be a fantastic place to work. Every day brings new challenges and opportunities for collaboration and growth. What You’ll Do: Act as the face of Datadog by welcoming visitors and supporting employees in the office. Act as the primary point of contact for all in-office needs, creating a friendly, helpful, and professional environment Own and lead daily floor walkthroughs, identifying and resolving operational issues proactively to maintain a high standard of cleanliness, safety, and functionality Cultivate and maintain positive working relationships with building management & vendor partners Partner with the Security team to ensure the implementation of all safety protocols Serve as a main point of contact for incoming service tickets, ensuring timely updates, proper prioritization, and follow-through Work with vendor partners to keep the office stocked with food, snacks, and pantry supplies, ensuring everything meets our Datadog standard for quality and consistency Maintain inventory of office supplies and ensure timely restocking to support daily operations Arrange fun and engaging events for employees - both on a monthly cadence and an ad hoc basis Work closely with teammates to maintain smooth office operations and ensure consistency across all workplace processes Where required, work alongside various Operations teams to assist with office moves, build-outs and openings E