Detection And Mitigation Engineer in New York

Here at Datadog, we think about offensive security a little bit differently. We embrace automation and AI to run adversary simulations continuously across a massive cloud-native environment, and we expect our offensive engineers to build the tooling that makes that possible. We're looking for a Senior Security Engineer who can execute sophisticated red team operations, write the code that scales them, and take an AI-first approach to offensive security engineering. 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: Plan and execute red team engagements end-to-end, simulating real-world threat actors across cloud infrastructure (AWS, GCP), Kubernetes, CI/CD pipelines, and corporate environments Build and maintain custom offensive tooling, automation frameworks, and engagement infrastructure, treating offensive operations as a software engineering problem Develop custom payloads and evasion capabilities tailored to Datadog's environment and modern defensive controls (EDR, SIEM, network monitoring) Improve the efficiency of offensive operations through thoughtful use of automation and AI, accelerating reconnaissance, vulnerability analysis, and reporting workflows Partner with the Detection & Response team on purple team exercises to validate detection logic, improve alert fidelity, and influence threat models Translate offensive findings into concrete improvements by working directly with defensive security and engineering teams to close gaps Who You Are: You have 5+ years of hands-on experience in offensive security (red teaming, penetration testing, or adversary simulation) with a track record of operating against mature, well-defended environments You write production-quality code (Python, Go, or similar), can build your own tools, and automate your w

Datadog is entering a new chapter in how our product looks, feels, and operates. Our Design Lab is defining a new visual direction for the platform, and we’re looking for a Senior Staff Visual Product Designer to help turn that direction into a coherent product experience. Datadog is dense, technical, and used by people working through complex problems—often under real pressure. The challenge is not simply applying a new aesthetic. It is rethinking hierarchy, layout, navigation, interaction, and product patterns so the experience becomes clearer, more cohesive, and more expressive without losing the power our users rely on. This is a hands-on product design leadership role for someone who combines strong visual judgment with deep product and systems thinking. You’ll work alongside visual designers, motion designers, product designers, Design Systems, and Engineering to ensure the new direction changes how Datadog works—not just how it looks. What You'll Do Co-develop Datadog’s next visual direction by applying and stress-testing it across representative product journeys. Translate visual principles into concrete decisions about hierarchy, layout, navigation, information architecture, interaction, and behavior. Use visual language to clarify complex, data-dense experiences — hierarchy, density, and attention. Hold the visual quality bar across work you don't own, and align teams around it. Prototype, test, and refine new patterns before they become systemized. Partner deeply with Product Design, Design Systems, and engineering to turn successful concepts into durable system guidance and implementation. Create clear artifacts, pilots, and narratives that help teams adopt the direction and raise the product quality bar. Influence stakeholders across design, engineering, product, and executive partners. You will report directly to the Design Director and work as part of a small, focused team defining the future state before it scales across hundreds

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The Advisor Experience team is a new engineering team within Addepar’s Core Product Engineering organization, focused on building the products and experiences that define how financial advisors and their clients interact on the Addepar platform. Initially this role will focus on our new Secure Message Center — a compliant messaging experience built into Addepar’s client portal — but the scope extends well beyond messaging. We’re building the connective tissue between advisors and the investors they serve, creating workflows that make every interaction more informed, more personal, and more seamless. As the Engineering Manager for this team, you’ll lead a small, growing group of engineers and shape both the technical direction and team culture from the early stages. You’ll partner closely with product management and design to translate an ambitious product vision into shipped software. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You'll Do Lead, mentor, and grow a team of full-stack en

Datadog SQL (DDSQL) and Sheets are two of the newest products within Graphing, Datadog’s most-used product area. Together, they give customers flexible ways to query, combine, analyze, visualize, and share data across Datadog. This role owns the product direction and user experience for both products. Your goal is to help users move from raw data to trustworthy answers quickly—whether they prefer writing SQL, working in a spreadsheet, or building visual analyses. Doing this well requires more than adding analytical features. Real-world analysis involves nuanced decisions about data models, joins, aggregations, time windows, missing data, query performance, and the transition from exploration to reusable work. You’ll work closely with design and engineering to make these capabilities understandable without limiting their analytical power. You’ll also help expand the data customers can analyze in Datadog, including third-party and business data alongside operational telemetry. This will make DDSQL and Sheets central analytical tools for a broader range of questions and users. What you'll do: Own DDSQL and Sheets end to end: roadmap, adoption, and growth strategy Partner closely with design to establish a high bar for information architecture, interaction design, and visual polish across complex analytical workflows Use product analytics and customer research to identify friction, improve onboarding, and measure whether users are reaching useful answers faster Define the experience for querying, transforming, visualizing, and sharing data, from query composition and results exploration to errors, performance feedback, and collaboration Define and execute the strategy for bringing third-party data into Datadog: from market research and use-case definition through pricing Expand Datadog SQL from a standalone editor into a platform-wide query capability on all graphs Redesign how users discover and get started with Graphing products: rethink list pages, build onboa

The opportunity Datadog’s Infrastructure products help engineers understand and operate the systems their applications depend on. Our customers work in complex environments like Kubernetes and serverless, where infrastructure changes constantly, information is dense, and decisions about reliability, performance, and cost are closely connected. We’re looking for a Staff Product Designer to join Modern Compute, with an initial focus on Containers Autoscaling. Autoscaling helps engineering teams make better decisions about how their applications and infrastructure use resources. Designing these experiences requires making deeply technical systems understandable, helping customers act with confidence, and fitting into the tools and workflows they already use. The team is rethinking how workload and cluster autoscaling come together as a more coherent product experience. This includes how customers get started, understand recommendations, evaluate value, and safely apply changes across their environments. The work also connects to other parts of Datadog, including observability, Cloud Cost Management, permissions, and AI-assisted workflows. As a Staff Product Designer, you will help define that direction and lead the work from early problem framing through shipped product. You will partner closely with product and engineering, bring a high level of interaction and visual craft to complex workflows, and help raise the quality of design across Modern Compute. 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 help our Datadogs find a work-life rhythm that works for them. What you’ll do Lead end-to-end product design for Modern Compute, initially focused on our Autoscaling product. Help define the product direction for an area that is still evolving, from early framing and exploration through detailed design and delivery. Design clear, trustwort

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Design at Brex Design at Brex creates the experiences that make complex systems feel effortless through thoughtful, scalable design. Whether crafting interfaces, shaping product strategy, or harnessing AI to empower our users, we obsess over quality and clarity. This is a team where creativity meets high craft, and where designers grow by building for ambitious customers. What you’ll do Brex is looking for a Senior Brand Designer to join the Design team, a cross-disciplinary group of creatives including product designers, brand designers, content design, operations, and marketing strategists. Our team’s mission is to build a category-defining brand and meaningfully move key business metrics by delivering world-class creative. Your role will be to contribute to direction and execute a variety of creative projects across marketing collateral, digital experiences, out-of-home, communications, environmental, and more. This is a collaborat

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Design at Brex Design at Brex creates the experiences that make complex systems feel effortless through thoughtful, scalable design. Whether crafting interfaces, shaping product strategy, or harnessing AI to empower our users, we obsess over quality and clarity. This is a team where creativity meets high craft, and where designers grow by building for ambitious customers. What you’ll do Brex is looking for a Staff brand designer to join the Design team, a cross-disciplinary group of creatives including product designers, brand designers, content design, operations, and marketing strategists. Our team’s mission is to build a category-defining brand and meaningfully move key business metrics by delivering world-class creative. Your role will be to contribute to direction and execute a variety of creative projects across marketing collateral, digital experiences, out-of-home, communications, environmental, and more. This is a collaborati

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Finance at Brex The Finance team is a strategic engine at Brex. We lead planning, forecasting, capital allocation, and ROI analysis — partnering across the business to drive clarity and unlock opportunity. We partner across teams at Brex to ensure our business is building and planning with the same dream big goals throughout our entire organization. We’re not here to report on outcomes; we shape them. If you want to influence company direction and think long-term about value creation, this is where your ownership starts. Cross-functional alignment: We work on complex problems that cut across Engineering, Product, Design, Sales, Marketing, Revenue Operations, CX, and more. This requires the ability to generate buy-in from a wide set of stakeholders on key initiatives. Business intelligence: We are a data-driven organization that always provides data to support our decision-making. When data is not available, we find it in market

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

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. 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 a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

Datadog is entering a new chapter in how our product looks, feels and operates. We're building a small, high-leverage Design Lab team to define that evolution, and we're looking for a Senior Staff Visual Designer to author it. Our design system powers everything we ship. Now we're ready to evolve it. As Datadog expands into AI-driven experiences and more complex product surfaces, the visual language needs to grow with it. This is the role that decides what that language is — someone with taste, judgment, and the confidence to set a direction and defend it. 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 and evolve Datadog’s visual language across product surfaces. Lead exploratory and concept work, creating a range of distinct visual directions for the next generation of the product. Synthesize product context, research, references, and stakeholder input into clear visual principles and a coherent point of view. Establish the quality bar for typography, color, composition, iconography, imagery, motion, and visual expression across the platform. Create high-fidelity product exemplars and prototypes that make an emerging direction tangible. Partner deeply with Brand, Product Design, Motion, and Design Systems to test and refine the direction across different surfaces. Influence executives and senior stakeholders through clear, persuasive visual storytelling. Guide and critique the work of other designers, helping the visual direction remain coherent as it evolves. Help shape how visual exploration, critique, and craft are integrated into Datadog’s design process. You will report directly to the Design Director and work as part of a small, focused team defining the future state before it scales across hundreds of designers and engineers. Who Yo

Datadog AI Research — Scholars Program with Carnegie Mellon University Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support a small number of PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR. You will frame a problem, run your own experiments, and write up what you find, with compute and data at a scale most academic labs cannot provide. You will collaborate with colleagues working on the same questions. The Lab And The Research: DAIR is an industrial research lab motivated by practical challenges in observability and software operation: detecting and diagnosing failures, understanding complex production environments, and helping engineers operate software more effectively. The lab focuses on creating specialized foundation models, post-training and evaluating AI agents, and building frontier-scale machine learning systems. By combining fundamental research with Datadog's large-scale, real-world data and infrastructure, the lab develops new AI capabilities and translates them into practical systems with meaningful impact. Internship projects are shaped with your DAIR mentor and your CMU faculty advisor. You do not need prior experience with observability, monitoring, or infrastructure. What You'll Do: Own a research project end to end: framing the question, running the experiments, writing it up Work directly with a DAIR mentor engaged in the same problem, and stay connected to your advisor and lab Publish, and use the work toward your dissertation See research reach production, when it works Who You Are: Currently enrolled in a PhD program at Carnegie Mellon in machine learning, computer science, statistics, or a related field Depth in at least one area relevant to the research above Comfort running real experiments — training models, working with GPUs, reading and reimplementing recent papers Evidence you can do research: conference or workshop papers, preprin

Salary range: $300k - $350k | Equity: 0.4% - 0.6% | In-Person: NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for an engineering lead to guide our team while staying hands-on in the code. You'll set the technical direction and standards for how we build the interfaces, tools, and infrastructure behind our OCR, extraction, and document-understanding systems. This includes everything from optimizing agent loops and interfaces to helping to speed up inference. This is a player-coach role. You'll manage and grow a team of three engineers, own engineering delivery and quality, and spend a large share of your time writing code - focused on architecture, infrastructure, and the hard problems rather than routine feature work. You’ll partner closely with the research team to define the handoff between experimentation and production. As a small and fast-moving team, roles are fluid and ownership is high. You'll work directly with the founder to set priorities, ship features, and make our technology accessible to a global community of builders. Day to day, you will: Manage and grow a team of three engineers - 1:1s, prioritization, feedback, and hiring as we scale. Own engineering delivery, quality, and technical standards across code, testing, infrastruct

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The design team at Plaid is made up of product designers, researchers, and content strategists who work with our cross-functional partners to create Plaid’s products. Please visit https://designedbyplaid.com/ to learn more about the Design team. As a Product Design Manager on the Dashboard team, you will manage a multidisciplinary team of product designers and a researcher, leading design efforts across multiple product areas at Plaid. As a member of each area’s cross-functional leadership team, you will partner closely with product and engineering to shape direction and outcomes. Your day-to-day responsibilities will include coaching individual contributors, driving high-quality design execution, and collaborating with PM leads to develop product strategy. Alongside owning near-term delivery, you and your team will also define and advance the long-term vision for how Plaid’s products evolve. On the Dashboard team, we focus on shipping experiences and elevating the UX quality of Plaid’s Dashboard— a key surface area for customers and data partners. The Dashboard provides a variety of features and tools for launching with Plaid, integration monitoring, and account management and is the home of emergi

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Storage Services team operates Pinterest's scalable online structured data storage platform—supporting both SQL-based table models and complex graph data structures—managing 100TB+ datasets and serving over 1.5M queries per second across many of Pinterest's most important products. We're looking for an exceptional Staff Software Engineer to lead the technical strategy and execution of our storage infrastructure initiatives, defining how these systems are designed, built, and operated. You'll drive innovation across distributed SQL, high-throughput/low-latency query processing, graph workloads, and the developer experience for storage clients. What you’ll do: Provide technical guidance and direction to a high-performing team building reliable, performant, and cost-efficient storage systems that operate at massive scale and power busines