Strategic Program Lead in New York

Role Summary: Datadog is seeking a Staff Software Engineer to help shape the future of our Bring Your Own Cloud (BYOC) Logs offering by unifying observability pipelines with log management software that customers deploy and manage in their own infrastructure. This role will focus on building and scaling systems that process, route, and store high-volume observability data within customer-managed infrastructure. You will operate as a hands-on technical leader, driving architecture, cross-team delivery, and product direction across a complex and evolving space. This is a high-impact opportunity to influence product strategy, mentor engineers, and solve deeply technical challenges at scale. 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: Make customer-controlled deployments feel like a managed Datadog product: deployment, upgrades, configuration, observability, diagnostics, reliability, and secure operation across diverse customer cloud environments Build and scale high-throughput systems for log processing, routing, and transformation across distributed environments Lead cross-team initiatives, aligning engineers, product managers, and stakeholders to deliver complex, multi-team projects Design and implement software that runs reliably that customers deploy and operate within their own cloud infrastructure. Improve system performance, scalability, and cost efficiency through thoughtful trade-off analysis and capacity planning Contribute hands-on to critical code paths, debugging, and deployment challenges in customer environments Who You Are: You have significant experience building software that is installed, deployed, and operated in customer environments rather than only as a fully managed SaaS service. You have strong expertise in distributed systems,

We’re looking for a Staff Product Designer to join the APM (Application Performance Monitoring) team. This team is focused on helping engineers agentically troubleshoot and optimize their applications. You'll learn the domain and proactively spot areas for improvement, getting stakeholder buy-in as needed. You'll own your design work end-to-end while helping shape broader product direction. You'll also hold a high bar for quality across the team and help other designers build support for their decisions. 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: Become a design leader within APM by proactively identifying opportunities and shaping the design strategy across multiple product areas and workflows. Partner closely with PMs and Engineers to ship intuitive experiences, balancing user needs with platform scalability and engineering constraints. Conduct and synthesize qualitative and quantitative research to identify pain points, validate solutions, and guide roadmap decisions. Communicate design rationale clearly and persuasively across design, engineering, product, and executive stakeholders. Mentor and support other designers by providing feedback, sharing frameworks and workflows, and helping raise the overall design quality bar across the organization. Prototype in code to rapidly explore ideas and validate concepts. Contribute to production code using AI-assisted workflows to ensure execution matches design intent. Help the team adopt AI-enabled design workflows. Who You Are: You have 10+ years of experience in digital product design. Your portfolio demonstrates a strong track record of designing and shipping complex technical products. You use AI-assisted workflows to prototype and rapidly iterate. You have a track record of connecting

We're looking for a Staff Engineer to join the Logs organization at Datadog and help redefine how our customers ingest, query, and derive insights from logs data. In this role, you’ll work closely with Product Managers and customers to drive complex initiatives across ingestion pipelines, search infrastructure, and intelligent log management capabilities - all while pushing the boundaries of what’s possible with AI and distributed systems. You’ll have the opportunity to lead efforts that shape the future of log management. 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 Product Managers to define ambiguous product requirements and determine the most impactful solutions for customers Lead technical strategy and execution and design systems surrounding log query performance and ingestion at scale. Explore and prototype new capabilities and collaborate with peers on initiatives spanning AI-powered log management, security and business operations, advanced query capabilities, and external data sources query capabilities. Mentor engineers across levels and contribute to growing a high-performing, collaborative team culture Who You Are: You have deep experience architecting and scaling backend systems, with a strong focus on data-intensive or distributed infrastructure You excel in ambiguous environments, demonstrating a mix of drive, curiosity and pragmatic decision-making You’ve partnered effectively with Product Managers and customers to define product direction and ship impactful features You have expertise in debugging complex systems and optimizing performance across real-time data pipelines You have experience in using AI agents tools in your day-to-day engineering practices You lead by example and enjoy helping others grow through m

Alerting is the beating heart of the Datadog platform. It is the critical bridge between raw data and decisive action, ensuring that when our customers’ systems falter, they are the first to know. Datadog is reimagining alerting; we’re evolving beyond simple triggers into providing a sophisticated, AI-powered posture that covers both known and unknown risks. As the Product Manager for Notification Orchestration, you will lead the evolution of how alerts reach the right people at the right time. You will define the strategy for our notification routing engine, ensuring that thousands of businesses can manage complex alerting logic without being overwhelmed by noise. You will empower customers to move beyond managing individual monitor outputs to a world where notifications are grouped, contextualized, and reliable at massive scale. 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: Develop a comprehensive understanding of customers and the core problems behind their alerting and notification monitoring challenges. Collaborate across product teams to identify and deliver the most critical alerts and health indicators for every product area. Define, build, and launch the next generation of user experiences for managing automated alerts and configurations. Design intuitive solutions that represent alert status and system health across the entire application, providing users with at-a-glance visibility. Join an engineering team to scope, spec, and design alerting features capable of supporting the most complex, high-scale organizations Continuously evolve the product with the latest technologies, including AI tools and agents. Partner with marketing and customer success teams to help users understand and adopt new alerting frameworks and health-monitoring

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

Datadog is seeking a Director of Product Management for Platforms to lead the internal platforms that power our global engineering organization. This is both a customer and internal platform leadership role, focused on enabling Datadog customers to maximize value with Datadog but also to enable other Datadog products to build, scale, and operate products efficiently and reliably. In this role, you will bring a combination of technical expertise, product management experience, and a deep understanding of platform and shared capabilities to help Datadog grow its leadership position. You will lead a team of product managers and collaborate with senior leadership in product, engineering and design. Your scope includes driving product features shared across all Datadog but also large-scale Datadog’s platform solutions. What You’ll Do Own the vision and strategy for platform products, ensuring alignment with overall company goals and customer needs. Identify new opportunities for innovation and drive them from concept to execution, ensuring they have a measurable impact on customers and the business. Define product roadmaps and manage the prioritization of features and initiatives to ensure the team's efforts are aligned with business goals. Drive Platform Adoption: Partner with engineering and product teams to ensure widespread adoption of shared platforms and shared features, reducing duplication and accelerating delivery. Improve Operational Efficiency: Improve developer velocity, time-to-production, and operational efficiency across Datadog’s engineering ecosystem. Collaborate with cross-functional teams including engineering, design, data science, marketing, and sales to deliver infrastructure product solutions that meet customer needs and business objectives. Define and Track Success Metrics: Define and track platform success metrics, including adoption of platform capabilities, reduction in internal toil, time-to-production improvements, cost efficienc

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospect

Job Requisition ID # 26WD99456 Senior Product Manager – AEC Visualization Solutions About the Role Location: East Coast US or Canada, remote with occasional travel Autodesk’s visualization technology empowers AEC customers to communicate ideas, validate designs, and make critical decisions across the entire design and make lifecycle. From early concept through construction and beyond, our tools help bring some of the world’s most complex projects to life. We are looking for an experienced and highly collaborative Product Manager to join our Visualization Solutions web team, someone who is passionate about building exceptional user experiences and thrives at the intersection of cutting-edge technology, complex customer workflows, and platform strategy. In this role, you will play a key role in defining the future of interactive visualization at Autodesk, building the shared visualization platform that powers experiences throughout the Autodesk ecosystem. You’ll operate across both platform and product, identifying the highest-impact opportunities and driving solutions from strategy through execution. You will work closely with teams across Autodesk to create visualization capabilities that can serve multiple products and workflows while delivering

Specialist - Workstation Description - The Advanced Compute Solutions (ACS) Sales Specialist plays a vital role in helping new and existing customers discover and benefit from ACS. You will use your sales expertise and industry knowledge to build strong relationships, identify opportunities, and support customers throughout their journey. This position focuses on expanding our customer base, advancing the ACS sales pipeline, fostering long-term customer relationships, and supporting account managers in delivering outstanding results. ACS is a key division within HP focused on driving innovation for the future of work. Its mission is to deliver high-performance computing, enabling customers to tackle complex workloads and emerging technologies efficiently. Key Responsibilities Drive growth by acquiring new customers and expanding adoption of ACS products. Identify and pursue new ACS opportunities, while also expanding relationships with existing clients. Manage the sales process end-to-end, including building a strong pipeline, guiding product selection, pricing, and closing deals. Develop business use cases and provide expert support to sales teams. Achieve sales targets and contribute to higher customer quotations, diverse business, and increased contract-value renewals. Collaborate with customers, internal teams, and industry specialists. Stay ahead of the market by understanding ACS offerings and competitor strategies to position HP’s solutions effectively. Build trusted, consultative relationships with clients, including senior executives, by understanding their industry-specific needs and challenges. Education & Experience Recommended: Bachelor’s degree is preferred but not required. </l

At Datadog, we're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. Feature flags used to be simple on/off switches. That's changing fast. Flags are becoming a control plane: they're tied to observability, they drive rollout decisions, and AI agents build and run more of this work every day. Datadog is building the platform for that future, and we are now expanding our Feature Flagging & Experimentation product to pair flag decisions directly with observability signals and to modernize the flagging workflow for an SDLC increasingly run by agents. As a Senior Product Manager for Feature Flagging, you will own product strategy and drive execution across flags-plus-observability integration and agentic-era flagging workflows. You will set direction for a critical area of the roadmap, work closely with the observability, RUM, and APM teams, and report directly to the Director of Product leading this team. You'll be relied on to make sound, independent product judgment calls with limited oversight, bring engineering credibility to every decision, and drive B2B go-to-market strategy alongside sales. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. This role is based in New York City and works from our office 3 days a week to support that collaboration. What you will Do: Find every place where a flag decision and an observability signal should talk to each other - rollout gating, anomaly-triggered rollback, experiment diagnostics - and ship a roadmap that unlocks observability and experimentation differentiators in Datadog Feature Flags

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We're looking for a Staff Software Engineer to help build the next generation of CLEAR's enterprise identity platform, CLEAR1. We’re creating frictionless identity solutions for some of the most sophisticated companies in the world and pushing the boundaries everywhere we go. As a Staff Engineer, you’ll own high-impact, cross-functional products and integrations end to end from problem framing and architecture through implementation, rollout, adoption, and measurable outcomes. This is an ideal role for someone who thrives in scrappy, ambiguous environments, while bringing the technical rigor and operating discipline developed at larger companies. You’ll partner across teams, establish reusable patterns and standards, improve reliability and execution, influence technical direction, and mentor other engineers. A brief highlight of our tech stack: Python / Java / React / Typescript What you’ll do: Design, build, test, and deploy scalable applications that power CLEAR’s identity platform. Own projects end to end—from technical discovery and architecture through implementation, rollout, adoption, and operational support. Partner closely with Product, Design, Data, Security, and Operations to translate business problems into simple, scalable technical solutions. Design for reality by understanding failure modes, system dependencies, degradation strategies, recovery paths, and the points where systems may break under scale. Build quality and operability into the design from the start, including test strategy, observability, alerting, sa

ROLE SUMMARY Pfizer Commercial Oncology is introducing the world to the next era of cancer care. With a growing portfolio of novel therapies, industry-leading R&D, and a goal of delivering eight breakthroughs by 2030 across major cancer types, we're translating cutting-edge science into market-shaping impact. Here, you'll partner with exceptional colleagues across scientific, medical, and manufacturing teams, backed by advanced digital and AI-enabled infrastructure and the authority to accelerate medicines from discovery to delivery. Guided by our values of courage, excellence, equity, and joy, you'll have the opportunity to stretch your skills and build a career that evolves with you—across teams, roles, and the Pfizer enterprise. Join us to make history — for patients, for their families, for the future. IBRANCE changed the treatment paradigm for metastatic breast cancer when it launched in 2015. As the brand approaches loss of exclusivity (LOE), this role owns its omnichannel and HCP marketing engine through the LOE timeframe and then carries that same omnichannel discipline forward to stand up NPP and digital execution for the Oncology Business Unit's next wave of breast cancer launches. This is a role for a marketing leader who thrives on solving complex problems in a competitive market and wants both halves of the brand lifecycle; defending an in-line asset through the tape, and building the omnichannel foundation a new set of launches will be built on. This individual must be able to excel in a fast-paced, matrixed environment, make immediate business impact, think outside the box, and actively contribute to a positive team culture. This role will focus on non-personal promotion (NPP), owning IBRANCE's nonpromotional strategy and digital/omnichannel execution (paid search, organic search, paid social, web analytics, search AI, media strategy,

About the team OpenAI’s Forward Deployed Engineering team partners with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into reliable, auditable systems that create measurable business impact. Our work turns early deployments into repeatable solution patterns, operating standards, and evaluation practices that scale across regulated financial institutions. About the role We are hiring a Forward Deployed Engineer (FDE) to lead end-to-end deployments of OpenAI’s models inside financial services organizations where correctness, latency, explainability, and control matter. You will work with customers who are experts in investment banking, trading, risk, compliance, underwriting, research, operations, or investment decision-making, translating complex workflows, data constraints, and regulatory requirements into production systems. You will measure success through production adoption, workflow efficiency, risk reduction, revenue impact, and evaluation-driven feedback loops that inform product, model, and GTM strategy. You’ll work closely with Product, Research, GTM, Security, Legal, and GRC to deliver systems that meet enterprise standards for governance, auditability, and operational resilience. You will also play a central role in shaping OpenAI’s Financial Services offering — identifying high-value use cases, defining solution patterns, and building the first repeatable deployments that scale across institutions. Learn more about some of our work with financial institutions . This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% may be required. In this role, you will Design and ship production AI systems around models, owning integrations,

Code Intelligence sits at the intersection of agentic engineering and product, running agents against real customer source code in production. This is a chance to own an AI-native team at the center of a business-critical growth area. High visibility, high leverage, and squarely in the fastest-growing part of the AI agent space. 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 employees can create a work-life harmony that best fits them. What You'll Do: Lead and develop an existing engineering team, building trust, setting technical direction, and establishing a high bar for ownership and execution. Own the roadmap and execution across four areas: source code indexing, PR Agentic Reviewers (agents that generate artifacts like metric descriptions on customer pull requests), shift-left work (extending code-writing agents to make direct changes to customer repos), and closed-loop feedback and evaluation systems including LLM-as-judge. Set the team's product strategy independently while partnering day-to-day with product teams company-wide — this team functions as its own product org. Build and operate scaled LLM and agent software in production: LLM APIs, agent frameworks, harness and tool-use layers, prompt and eval tooling, and closed-loop evaluation systems that measure and improve agent output quality. Partner closely with customers and internal stakeholders to deeply understand needs and translate them into technical direction. Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time. Who You Are: Experienced engineering manager with a track record of shipping products with direct customer interaction, not just internal stakeholders. Hands-on experience building scaled LLM software: LLM APIs, agent frameworks, prompt and eval tooling, h

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 are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. Collabo