Security Software Development Engineer in United States

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and innovative Senior AI Engineer – AI Product to join our ClickUp Engineering team. In this role, you will drive the development of intelligent, user-facing features that leverage the latest advancements in AI and large language models (LLMs). You will work closely with product, design, and engineering teams to deliver seamless, impactful AI-powered experiences that delight our users and differentiate ClickUp in the productivity space. This is a product-focused engineering role requiring deep expertise in AI, LLMs, and building scalable, production-ready applications. Key Responsibilities: Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users. Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions. Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences. Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement. Ensure the reliability, scalability, and performance of AI-powered features in production environments. Stay at the forefront of AI research and product trends, incorporating the latest advancements into ClickUp’s product roadmap. Address AI privacy, security, and compliance challenges, ensuring responsible and ethical use of AI in user-facing applications. Mentor and guide other engineers in best practices for building AI-powered products. Qualifications: Proven exper

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer – AI Product to join our ClickUp Engineering team. In this role, you will drive the development of intelligent, user-facing features that leverage the latest advancements in AI and large language models (LLMs). You will work closely with product, design, and engineering teams to deliver seamless, impactful AI-powered experiences that delight our users and differentiate ClickUp in the productivity space. This is a product-focused engineering role requiring deep expertise in AI, LLMs, and building scalable, production-ready applications. Key Responsibilities: Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users. Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions. Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences. Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement. Ensure the reliability, scalability, and performance of AI-powered features in production environments. Stay at the forefront of AI research and product trends, incorporating the latest advancements into ClickUp’s product roadmap. Address AI privacy, security, and compliance challenges, ensuring responsible and ethical use of AI in user-facing applications. Mentor and guide other engineers in best practices for building AI-powered products. Qualifications: Proven experience bui

What you’ll do Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls. Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility. Implement security + compliance primitives appropriate for HIPAA/PHI: encryption in transit/at rest, key management, least privilege, audit logs, and access reviews. Build operational tooling: monitoring, alerting, runbooks, and incident-driven improvements for a growing device fleet. What we’re looking for Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability. Experience shipping production systems that handle large data volumes and failure-prone networks. Practical security mindset (least privilege, secrets, audit logging) and comfort operating in compliance-constrained environments. Useful experience Building reliable data pipelines at scale (queues/orchestration, resumable uploads, GPU batch execution) with strong observability. Security + privacy by default: encryption, least-privilege access, auditing, and practical HIPAA/PHI guardrails. Owning the “boring” backend details that keep a lean team moving: schemas/migrations, cost controls, retries, and runbooks. Understanding compute tradeoffs across hardware options, and specifying appropriate cloud resources.

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—trillions of data points per day—allowing for 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. The Team: As organizations rapidly invest in AI applications and build out AI labs, telemetry volumes are growing exponentially and costs are becoming unpredictable. From LLM interactions to agentic workflows, AI systems generate unpredictable streams of logs, driving up costs and making it harder to maintain efficient observability. These challenges are critical for organizations in regulated industries with strict data residency requirements, where data must remain within controlled environments. Datadog’s Bring Your Own Cloud (BYOC) team is reimagining what observability and security look like at petabyte scale in the AI era. The Opportunity: The Group Product Manager - Bring Your Own Cloud (BYOC) role is responsible for defining and bringing to market the next generation of telemetry analytics and insights capabilities in an AI-first environment. This role is highly technical and creative in nature as you will envision novel ways to enable customers to cost-effectively explore, analyze and report over petabytes of data through a welcoming and easy-to-use interface. You will partner with various teams to take advantage of BitsAI capabilities and surface critical insights on volume usage and retention for popular use cases. 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: Lead and grow a team

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. APM at Datadog is on its way to redefine how users interact with their telemetry. We are integrating intelligence directly into troubleshooting workflows to help engineers find root causes faster, navigate complex distributed systems seamlessly, and optimize application performance with minimal cognitive load. APM provides deep visibility from end-user interactions to backend services and we are now expanding this foundation with new AI-driven insights, guidance, and automation. As a Product Manager II for APM, you will work with world-class engineers, designers, and partner product teams to shape the future of Distributed Tracing, Performance Analysis, and Intelligent Troubleshooting. You will help build advanced capabilities that scale to thousands of customers and make sophisticated observability workflows accessible to every engineer, from experts to beginners. 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 will do: Develop a deep understanding of APM customers, their performance challenges, telemetry workflows, and competitors Lead conversations with design partners and strategic customers to uncover real-world performance issues, validate product assumptions, and guide solutions from early prototypes through General Availability Define and deliver the next generation of APM features with engineering and design, especially agentic on

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, 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. The Observability Data Platform (ODP) is the backbone of everything Datadog delivers – powering how data is ingested, stored, routed, and surfaced across every product at planet scale. As a Senior Product Manager for ODP, you will work with world-class engineers and cross-functional partners to shape how the platform is deployed, controlled, and operated. You will define product direction across the control plane and data layer, translate complex infrastructure trade-offs into clear roadmap decisions, and help customers get the most from their observability investment – regardless of architecture, topology, or 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 Will Do: Develop a deep understanding of the Observability Data Platform customers – platform engineers, SREs, and product managers that own the product verticals – their infrastructure challenges, deployment topologies, and cost-to-serve trade-offs. Define product direction across multiple ODP surfaces, including the control plane and data layer, by articulating clear problem statements and desired outcomes, and partnering with engineering on technical approach and sequencing Lead conversations with design partners and strategic customers to understand real-world platform pain points, validate product assumptions, and guide solutions from early prototypes through General Availability Develop a co

Databases and data stores are at the center of our applications, for legacy applications and modern AI applications alike. Yet most observability and optimization approaches lack a holistic approach or application context. Datadog has been on a mission to revolutionize how databases are operated, flipping what is often seen as a black box of complexity prone to security and performance risks, into a well oiled machine enabling our builders and businesses to move faster and smarter. We’re looking for an experienced product manager passionate about joining this mission to lead this product opportunity. 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: Lead ambitious investments that rethink how customers operate and get value from their databases, diving into ambiguity, working with our customers on new models, and shipping new products and changes to existing products. Develop a deep understanding of our customers and their issues, what problems are really behind those issues, and how we can improve how databases are operationalized across SRE teams, DBAs and application developers. Continuously refine your understanding of database management systems and datastores from SQL and OLTP based to NoSQL e.g. AWS RDS, PostgreSQL, SQL Server, MongoDB, MySQL, etc Define, build and launch the next generation of database monitoring and optimization capabilities for our customers Join a talented engineering team with a record of disrupting observability approaches to further the mission of demystifying and optimizing databases using your team’s creativity, alongside your customers’ problems, as a key resource. Collaborate with other Product teams in Datadog to maintain and improve all Datadog products, improve the seamless integration across th

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure Design and build simulated environments and RL training loops for on-policy agent training and evaluation Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products Stay at the forefront of foundation models, world models, and RL-based agent research Contribute to r

The Travel Manager Americas is accountable for the strategy, operations, and optimization of the company’s corporate travel program across the Americas region, while also providing support for the regional leads. This role requires a consistent, cost‑effective, and employee‑centric travel experience while maintaining compliance with global travel & expense (T&E) policy and regional regulatory requirements. The role partners closely with Finance, HR, Procurement, Security, and regional business leaders to support business growth, traveler safety, and operational excellence. This role can be based remotely in the United States, or hybrid near one of our hub offices. Key Responsibilities Travel Program Strategy & Governance Own the Americas travel program, aligned to global T&E policy and mobility strategy Localize global travel policies for regional requirements (tax, labor, safety, visa, and regulatory) Act as the primary regional escalation point for travel‑related issues Supplier & Vendor Management Manage regional relationships with Travel Management Company (TMC)- Navan, Airlines, hotel chains, car rental providers Support sourcing, RFPs, and contract renewals in partnership with Procurement Track supplier performance against SLAs, cost targets, and traveler satisfaction metrics Financial & Cost Management Drive cost optimization through preferred supplier adoption and traveler behavior change Partner with Finance on budgeting, forecasting, and savings initiatives Monitor leakage, out‑of‑policy spend, and compliance trends Traveler Experience & Support Ensure a seamless, inclusive, and regionally relevant traveler experience Define traveler communications, guidance, and self‑service resources Oversee issue resolution related to disruptions, escalations, or complex bookings Risk, Duty of Care & Compliance Partner with Security and Legal to support duty of care obligations Ensure regional alignment with traveler tracking, emergency r

About the Team OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and translate evidence into better decisions. As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These capabilities create powerful opportunities to improve cybersecurity, but they also introduce risks that traditional security tools and processes were not designed to address. Meeting this moment requires new ways to measure security, evaluate defenses, and distinguish genuine risk reduction from friction that slows users down. About the Role We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents. You will work across OpenAI’s Security organization and cybersecurity product teams to measure emerging risks, improve internal security controls, and shape AI-powered security products. The problems are foundational: How do we know whether an agent’s security controls are effective? Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system identifies a potential vulnerability, how do we determine whether the finding is accurate, actionable, and ultimately resolved? How do we detect anomalous behavior or risky access when the systems themselves are changing rapidly? You will report into Data Science while partnering closely with Security, Cyber Product, Engineering, and Research. This is a high-ownership role for someone who can establish a new analytical discipline, operate across organizational boundaries, and turn ambiguous security challenges into measurable improvements. In This Role You Will Define how we measure AI-agent security. Establish metrics and evaluation frame

About the Role As a Sales Manager, Energy, you will build and lead a team of Account Directors focused on strategic growth across utilities, oil and gas, renewables, power generation, and energy services. The team will partner with complex organizations modernizing operations, improving reliability, accelerating the energy transition, and adopting enterprise AI responsibly at scale. You’ll help the team navigate regulated enterprise sales cycles, deepen relationships with business, technology, operations, engineering, security, and risk leaders, and drive adoption of OpenAI’s platform across safety-conscious, asset-intensive organizations. Key Responsibilities Recruit, develop, and lead a high-performing team of Energy Account Directors. Create a strong coaching culture through deal reviews, account strategy sessions, ride-alongs, and structured 1:1s. Define the Energy GTM strategy, including subsector segmentation, account prioritization, partner strategy, executive engagement, and territory planning. Drive disciplined pipeline generation, forecast accuracy, and operational rigor. Guide multi-stakeholder opportunities involving operations, engineering, digital, data, security, legal, risk, procurement, and executive leadership. Help customers translate AI and API capabilities into measurable outcomes across asset and field operations, grid and generation planning, engineering knowledge, customer service, commercial workflows, and enterprise productivity. Partner with Product, Solutions Architecture, Technical Success, Legal, Security, Finance, and policy experts to support responsible deployment. Provide structured feedback on customer requirements, integration blockers, reliability and governance needs, and emerging industry trends. What We’re Looking For 15+ years of enterprise sales, GTM, or sales leadership experience. Proven experience building and scaling enterprise sales teams responsible for complex strategic accounts and large revenue targets. Deep underst

About the Team We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to design and operate the partner program for technology partners, ISVs, and marketplace participants. You will turn partner strategy into a simple, scalable experience from recruitment and onboarding through enablement, benefits, performance management, and growth. About the Role You are an operational builder with strong judgment, high ownership, and a track record of turning ambiguous goals into clear programs and measurable outcomes. You are comfortable working across product, engineering, GTM, marketing, operations, legal, finance, security, and support. You balance rigorous systems and governance with a thoughtful partner experience, and you can move quickly as the ecosystem evolves. In this role, you will: Design and run the end-to-end ISV and marketplace partner program. Define partner eligibility, segmentation, tiers, benefits, requirements, and lifecycle stages. Build repeatable onboarding, technical enablement, validation, listing, launch, and growth journeys. Establish program policies, documentation, service levels, governance, and escalation paths. Create partner communications, education, office hours, playbooks, and self-service resources. Develop program metrics and dashboards covering recruitment, activation, solution quality, adoption, revenue impact, and partner health. Coordinate launches and program changes across product, engineering, GTM, marketing, legal, security, finance, support, and operations. Capture partner feedback and translate it into program, product, and operating improvements. You might thrive in this role if you have: 8+ years of experience in partner programs, marketplaces, ecosystem operations, business operations, or program management. Proven experience building or scaling a technology partner, ISV, or marketplace program. Exceptional ability to convert ambiguous goals into clear p

About the Team Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. Mitigating the frontier risks resulting from these capabilities is paramount to OpenAI’s ability to continue deploying models safely. The Preparedness team is dedicated to addressing these critical risks. Our work includes: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misuse and misalignment safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the Role We are seeking exceptional researchers who can push the frontier of safety mitigations. You will help derisk frontier models by developing novel safety mitigations, developing and applying new techniques from domains like interpretability, control, and alignment to ensure the safety of OpenAI’s deployed models. You will play a critical role in defining how a safe AI system should look in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. This role requires strong technical depth and close cross-functional collaboration to ensure our safety mitigations are enforceable, scalable, and effective. We seek researchers who can partner with experts across domains such as misalignment, cybersecurity, and biology in order to develop the best possible end-to-end safety stack. In this role, you will: Work on identifying emerging AI safety risks and new methodologies for exploring and mitigating the impact of such risks Build (and then continuously refine) the evaluations that enable us to assess the extent of these risks; this might include worki

About the Team OpenAI’s Sourcing and Procurement organization helps the company acquire and scale the products, services, and partnerships needed to advance its mission. As the organization grows, we are looking for a strategic builder-operator to establish an AI-led contracting capability that improves speed, consistency, and execution across the company. In this role, you will partner with leaders and stakeholders across Procurement, Legal, Finance, Security, Engineering, and business teams to design and oversee the contracting process from intake through negotiation and lifecycle management. You will bring structure to ambiguity, align partners around shared priorities, and build repeatable operating mechanisms, responsible AI-assisted workflows, and a centralized contract lifecycle management (CLM) system of record that enable sourcing coordinators to execute agreements consistently and help the business scale. About the Role As a Contract Management Lead, you will build, lead, and continuously improve OpenAI’s AI-led contracting help desk—a new capability designed to scale contract drafting, review, negotiation, and lifecycle management without significantly increasing headcount. You will own the service strategy, operating model, delivery oversight, coordinator enablement, workflow design, and performance tracking. Sourcing coordinators will manage day-to-day negotiations and agreement execution; you will ensure they have the tools, playbooks, training, guidance, and escalation support required to deliver timely, consistent, and well-governed outcomes. This is a builder-operator and service-ownership role for someone who combines strong commercial contracting and legal-language fluency with a product-management mentality. You will be hands-on in building the systems, playbooks, AI-enabled workflows, and reporting that support the contracting desk—not in personally negotiating every agreement. You will use a contract lifecycle management (CLM) platform as the c