Engineering Architect in New York

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role: The New York Times is looking for a Director, HR Business Partner for the Product Engineering and Technology groups to support and partner with the Chief Technology Officer, leaders, managers and employees across the technology function, and with our Chief Product Officer. You will manage a team of two, while also supporting employees directly. You will report to the VP, HR Business Partners. The Director, HRBP plays a critical role in driving a people strategy aligned with enterprise goals. You will be the primary HR partner to support our Chief Technology Officer (CTO), Chief Product Officer (CPO), managers, and employees of the technology organization - including guidance, management of the performance enablement cycle, and oversight of process/HR administration. This is a hybrid role based in our New York City headquarters. You can expect to come into the office 3+ days per week. Responsibilities: Be an advisor, partner, and coach to senior leaders, managers, and individual contributors across our Technology group, including the Chief Technology Officer and Chief Product Officer Lead and develop a team of two HR Business Partners to manage multiple HR issues and support the business Provide daily support to senior-level department leaders, managers, and employees, providing coaching, management of employee lifecycles and performance management, and oversight of process/HR administration Lead planning, communication

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

About 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 a high scale - trillions of data points per day — providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity We are looking for an experienced software engineer to join our CI/CD Security Team within our SDLC Security organization. We work at the intersection of security and engineering infrastructure to secure Datadog's continuous integration and continuous delivery systems. Our responsibilities include hardening pipelines, protecting credentials, and enforcing tightly scoped access controls. We also develop authorization and verification mechanisms to ensure that only trusted code and approved processes can reach production. In this role, you will shape and build a new security layer for our CI/CD infrastructure and drive its adoption across the engineering organization. You will solve challenging systems problems around trusted build provenance, secure secret delivery, and real-time policy enforcement at high throughput. The work sits directly in the critical path of software delivery, where strong security guarantees have to coexist with low latency, high reliability, and a seamless developer experience. You’ll join at an ideal time to make a big impact, as the need for robust software supply chain security is higher than ever. Datadog is growing rapidly, and AI-assisted development is increasing both the pace of software delivery and the amount of activity flowing through our CI/CD systems. Securing that scale without slowing engineers down requires strong software engineering fundamentals, thoughtful automation, and security controls designed to operate reliably at high throughput. At Datadog, we pla

The way products get built is changing. Agents write a growing share of shipped interfaces, designers work in code, and a design system's output is bigger than a component library. At Datadog we're redefining ours for that world, and evolving how the product looks and feels at the same time. DRUIDS is the design system behind every Datadog surface, used daily by more than a hundred designers and thousands of engineers across thirty-plus products. You'll lead the team that owns it: designers and design engineers who set the system's direction, hold the quality bar for what ships, and build the tools that make designing in code the default way to work. The team partners closely with product designers, frontend engineers and PMs across the company. This is a hands-on leadership role in a technical, engineering-forward company. You'll be expected to have a point of view and defend it, to be the person the design org asks about quality, and to make the call when work isn't good enough yet. Much of what a design system should be right now hasn't been settled — here or anywhere else. If you're a designer who never stopped making things, and you'd rather decide what a system should be than maintain one that already exists, this is the role. 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 the team and set its direction Decide what DRUIDS owns, what it ships, and what stays with product teams. Own where the system goes next. Have a view on what a design system should be, and argue for it. Turn direction into a roadmap, and work with partners on what gets built and when. Coach the designers and design engineers on your team, be clear about what each person owns, and hire as the team grows. Own craft and quality Own the craft and quality of components, patterns,

About Datadog: Datadog is the essential monitoring and security platform for cloud applications. We bring together end-to-end traces, metrics, and logs to make your applications, infrastructure, and third-party services entirely observable. These capabilities help businesses secure their systems, avoid downtime, and ensure customers are getting the best user experience. The Team: The Financial Planning & Analysis (FP&A) team analyzes company financial data (revenue, customers, headcount, expenses, etc.) in order to support the business’ growth and success. Within FP&A, the R&D Finance team enables the financial strategy behind Datadog’s Engineering and Product organizations. We partner directly with technical leadership to drive decision-making around our most critical investments. Your work will be highly cross-functional and play a pivotal role in connecting the dots across the organization through a financial lens, ensuring operational alignment and informing decision making. The Opportunity: As a part of the R&D Finance team, this person will be key in supporting our product and engineering leadership team. Reporting to the Senior Manager, you will help create our annual budget and financial targets and work with operational leaders to support execution against our goals. Your work will be highly cross-functional and strategic, and you will play a pivotal role in connecting the dots across the organization through a financial lens, in order to help ensure operational alignment and inform decision making. What You’ll Do: Partner with senior business leaders to manage their departmental budgets on a regular basis, including but not limited to the company’s co-founder and CTO Manage financial forecasts and analytics, which include data across revenue, customers, product, company expenses, and headcount / workforce. Help manage significant portions of the company’s spend, including but not limited to AI and GPU spend across the compan

Datadog is seeking a Legal Operations Analyst to join our Legal Operations subgroup. In this role you’ll work closely with individuals across the organization in support of various legal-related matters, with a primary focus on supporting the scalability of the global legal team. The Legal team supports Datadog's rapid growth by providing a wide range of legal services across a highly dynamic technology company, from driving new business via contracts and compliance efforts, to protecting Datadog's intellectual property. Datadog's Legal team collaborates with virtually every team across the organization, from engineering to product to marketing. 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 legal and non-legal process owners to support process improvements, optimization and automations Assist with technical teams to implement solutions and troubleshoot reported issues by the legal team Maintain knowledge resources for all legal subgroups and collaborate with legal and non-legal colleagues on various projects as needed Conduct vendor and customer sanction screenings to identify potential risks and inconsistencies and ensure compliance Analyze and use data to drive initiatives and assist in planning Support technology by becoming a superuser of systems utilized by the legal team Serve as a point of contact for clients and stakeholders, addressing inquiries, concerns and providing timely updates on matters and escalating where appropriate Handle ad hoc projects within the legal subgroups as they arise Who You Are: A Legal Operations Analyst with 2-3 years of experience with legal operations, contract management or project management experience Proficiency with tools e.g. Google Workspace, Brightflag, Docusign, Salesforce, Coupa, Conflue

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. Systems at Brex Systems is the connective tissue that powers Brex's growth and operational scale. We operate at the intersection of product, operations, finance, data, engineering, and GTM — solving the company's most complex cross-functional challenges and turning strategy into execution. From driving AI transformation across Operations and GTM to building scalable systems, workflows, and decision infrastructure, Systems helps Brex operate smarter, faster, and with greater leverage. We are redefining how modern operational organizations work by combining business context, systems thinking, and AI-native execution. If you're excited by high-impact problems, hands-on building, and shaping how a modern fintech GTM org operates, Systems is where you belong. What you'll do You'll own the tools, workflows, and automations that our GTM teams — Sales, Sales Development, Customer Success, and Revenue Operations — rely on every day. This is a

Position Overview: The Product Compliance Requirements Analyst for Diligent Entities will support the US compliance angle of the market-leading entity management solution. Working closely with the Principal Product Compliance Advisor, this role is responsible for translating US corporate compliance requirements into clear, actionable product requirements. The Analyst will focus on delivery: breaking down complex or ambiguous compliance problems into discrete, actionable requirements, running discovery, and producing detailed documentation the Product and Engineering teams can build against. This is a hands-on, execution-focused role rather than a strategic or external-facing one, with daily engagement across Product Management, Engineering, customers, and Customer Success. Key Responsibilities Support the Principal Product Compliance Advisor in ensuring Diligent Entities meets US corporate compliance requirements. Conduct discovery on US corporate compliance and filing requirements, breaking findings down into identifiable, actionable elements. Gather, document, and maintain detailed product requirements for US compliance-related features and changes. Translate regulatory and legislative detail into requirements that Product Managers and Engineering can act on and prioritise. Initially the successfully candidate will focus on US requirements, and the remit may expand to other jurisdictions over time. Track changes in US corporate compliance rules and filing requirements, flagging impacts to Diligent Entities. Work day-to-day with Product Management, Engineering, Customer Success teams, and customers directly to validate requirements and support delivery. Work directly within Diligent Entities to validate requirements against real platform behavior, drawing on hands-on product experience. Provide the US compliance perspective to internal stakeholders (Customer Success, Support, Training, Sales) as needed. Required Experience/Skills: 5+ years' experience as a corporat

Datadog is seeking an experienced Legal Operations Manager to join our Legal Operations subgroup. In this role you’ll partner with stakeholders across the organization to scale, modernize, and continue to automate how our global legal team operates including driving the adoption of AI-powered tools and workflows. The Legal team supports Datadog’s rapid growth by providing a wide range of legal services across a highly dynamic technology company, from driving new business via contracts and compliance efforts, to protecting Datadog’s intellectual property. Datadog’s Legal team collaborates with virtually every team across the organization, from engineering to product to marketing. 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: Own and continuously improve legal processes end-to-end, partnering with legal and non-legal process owners to drive improvements, optimization, and automation Liaise with technical and cross-functional teams to implement solutions, integrate systems, and troubleshoot issues reported by the legal team Create and manage SOPs and collaborate with legal and non-legal colleagues on cross-functional projects Analyze and use data, including AI-generated insights and dashboards, to drive initiatives, support forecasting and planning, and deliver reporting to legal leadership and other stakeholders Manage technology used by the legal team (current tools include Brightflag, Salesforce, ChatGPT, Claude, Perplexity) and become a superuser of new tools Champion new systems and emerging AI capabilities Support the legal team’s outside counsel operations Continuously cross-train across to operate as a flexible member of a shared services model, enabling coverage, resource-sharing, and consistent process standards Who You Are: An expe

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, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Fraud Data is the data science and machine learning team within Plaid’s Fraud organization, responsible for using data and ML to improve and scale Plaid’s fraud products. Within Fraud Data, the Customer & Product Intelligence team focuses on understanding product performance, uncovering customer insights, and enabling go-to-market teams with data-driven solutions. The team partners closely with customers and GTM teams on fraud analyses and proofs of concept, turning customer learnings into scalable, reusable product capabilities. We also build the metrics, analytics, and data foundations that measure product health, identify opportunities for improvement, and guide product decisions across Plaid’s Fraud portfolio. As a Data Science Manager, you will lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, develop its data scientists, and remain involved in analytical methods, technical reviews, and customer investigations. You will: Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team. Define product metrics, their underlying data, and reporting and

About the Team API Frontiers turns OpenAI’s frontier models into production APIs that developers can use to build reliable products and agents. We own the core path connecting models to developers through the Responses API, with a focus on safety, reliability, and speed. Working closely with Research, Safety, Codex, and other API teams, we bring new model capabilities into production and improve them through developer feedback. About the Role We are looking for a backend software engineer to build and operate the services behind the Responses API. You will shape API behavior, bring new capabilities from research into production, and make long-running agent workflows dependable and fast. The work combines distributed systems engineering with product judgment: designing useful developer interfaces, managing staged rollouts, and following production issues through to durable fixes. In this role, you will: Design, build, and operate APIs and backend services that bring frontier model capabilities to developers. Partner with Research, Safety, Codex, and API teams to define API behavior and deliver safe, staged launches. Build API capabilities for agent workflows, including task delegation, context sharing, and parallel execution. Strengthen long-running request reliability across timeouts, cancellation, streaming, and background execution. Improve request-processing performance and tail latency through profiling, efficient systems code, and persistent connections. Turn developer feedback and production failures into better observability, diagnostics, and lasting product improvements. Your background might look something like: 5+ years of experience building and operating backend services or developer-facing APIs in production. Strong software engineering fundamentals, with practical knowledge of distributed systems, concurrency, and asynchronous execution. Ability to diagnose production failures and performance bottlenecks using observability data and profiling. Product

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product leaders who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. We are looking for entrepreneurial and passionate product leaders to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Safety & Customer Care (SCC) Product team builds the platforms, products, and experiences that support riders and drivers when they need help most — and help keep them safe every time they ride. As the Director of Product, Customer Care, you’ll lead a team of product managers driving Lyft’s customer care strategy end to end: AI-powered support across chat and voice, the contact center platforms our support teams run on, and the underlying data layer which is critical to understand where our products can be improved. It’s a rare chance to shape how a category-defining company delivers support at scale — across emerging AI capabilities, global expansion, autonomous vehicle partnerships, and new lines of business. Responsibilities: Own the vision, strategy, and multi-year roadmap for Lyft’s Customer Care product portfolio — spanning AI-driven support automation, contact center platforms, self-service and issue resolution, and the trust and safety products underpinning every interaction Lead, coach, and grow a team of product managers, setting a high bar for product craft, execution, and career development Partner with senior leaders across engineering, data science, design, operations, and finance to set priorit

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

The Principal CRO and Web Analyst will drive the insights, measurement, and experimentation that shape Datadog’s website roadmap and improve how users discover, learn, and convert. You’ll use data to uncover opportunities, size impact, guide prioritization across high-value pages and journeys, and inform audience segmentation and personalization. This role combines analytical depth, clear storytelling, and hands-on execution across testing and optimization while shaping the experimentation culture and strategy that the broader team operates within. You’ll partner closely with Marketing, Product, and Web Engineering to deliver measurable gains in engagement and conversion. 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: Own website analytics, KPI frameworks, and user behavior insights to inform the website roadmap Identify performance gaps using data, benchmarks, funnel analysis, and user behavior patterns Translate insights into clear recommendations, prioritization frameworks, and experimentation plans Define and scale Datadog’s web experimentation program, including testing strategy, methodology, and best practices Improve engagement and conversion through testing, optimization, segmentation, and personalization initiatives Partner with Marketing, Product, and Engineering to align experimentation with business priorities and present findings to senior leadership Who You Are: You have 10+ years of professional experience, including 6–8 years in conversion rate optimization, web analytics, experimentation, or a related field You have strong analytical and problem-solving skills, with the ability to turn data into clear narratives and decisions You have experience with user behavior data, funnel reporting, audience segmentation, and testing methodologies

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 Datalab is growing extremely quickly, and as we grow, we outgrow our processes every few months. We're looking for a Founding Business Operations hire to find where the business is straining and fix it — designing, running, and improving the operational machinery underneath a fast-scaling company. This is a true generalist role, and the target will move as we scale. You'll own whatever the highest-leverage operational gap is at a given moment. Right now, that's our revenue and metrics layer: our pipeline and customer data need a real owner, inbound leads need to be captured and followed up reliably, and leadership needs consistent visibility into how the business and our launches are performing. That's where you'll start and where you'll have the most impact in your first few months. In two or three months the biggest gap may be somewhere else entirely — and you'll be the kind of person who's energized by that, not unsettled by it. You'll work directly with leadership and partner across sales, engineering, research, finance, and our Chief of Staff. If you're ambitious, analytical, and organized, this is a uniquely rewarding opportunity to help build an AI business from the ground up. Day to day: A typical week might