Critical Support Operations Associate in New York

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

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and our team. This role is for people who are deep systems thinkers, love stacking nines, and thrive from making others move faster at scale. Responsibilities include: Identifying architectural changes to improve reliability and performance. Fostering a culture of reliability across Modal’s engineering organization. Defining and implementing operational processes such as deployments, upgrades, etc. Operating systems like Kubernetes, Postgres, Redis, etc. Participating in on-call rotations, and responding to production incidents. Requirements: 5+ years of experience writing high-quality production code. 2+ years of

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 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: Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You’ll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several t

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.

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity Postman is hiring a Senior Manager, Customer Success Engineering to help lead Customer Success Engineering in North America. This leader will manage CSEs, ensuring the team is focused on the customers where Postman can create outsized impact, while providing the coaching, inspection, and operational discipline required for consistently high-quality execution. This is a highly cross-functional leadership role and a critical partner to Sales. The leader will work closely with North America Sales leadership, with a strong focus on East Coast alignment, to prioritize accounts, shape technical engagement strategy, allocate CSE capacity, and ensure customer execution is progressing with urgency and discipline. CSEs help customers embed Postman into real engineering workflows across API design, governance, CI/CD, developer platforms, integrations, modernization, migration, automation, quality enforcement, and service discoverability. This is not about general support or enablement; CSEs are laser-focused on turning Postman from a beloved developer tool into critical API infrastructure. The right leader is an experienced po

Become a part of our caring community You have shipped AI products before. You understand the difference between a demo and a production system. You have strong opinions about evaluation frameworks because you have experienced the consequences of operating without them. You are at your best when you own architecture decisions while continuing to build and deliver critical code yourself. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to source documents, and route complex cases to human experts. The output of these systems supports healthcare decisions that impact real members. As a Lead AI Applied Engineer, you will provide technical leadership for AI-enabled products and platforms, define architectural direction, establish engineering standards, and personally design and build the most critical components of our systems. You will lead through both technical expertise and execution, helping the team deliver reliable, scalable, and auditable AI solutions in a highly regulated healthcare environment. Why Join Us Lead the architecture of production AI systems where LLMs are foundational to the product experience. Make key technical decisions regarding model selection, system boundaries, platform architecture, and build-versus-buy strategies. Own the highest-risk and highest-impact technical challenges involving reliability, explainability, and correctness. Influence engineering culture and establish standards that shape how the team builds and ships AI products. Work on systems operating at meaningful scale, processing millions of documents and supporting healthcare decisions across a large member population. Partner

About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in NYC. We use a hy

Join VTS as an Engineering Manager. As a technical leader, you'll drive high-impact, customer-facing projects across major features in web and mobile. You’ll play a pivotal role in advancing VTS's evolution into an AI-powered platform, further cementing our industry-leading position. In this role, you will be responsible for fostering a healthy and collaborative culture, guiding the team's execution and delivery, and mentoring engineers to grow their careers and capabilities. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** To thrive in this role, you have: Proven experience leading software teams using agile development methodologies. A strong technical background with a proven track record of building, deploying, and maintaining scalable web applications, services, and third-party integrations. Experience working on high-impact, business-critical domains, where reliability, performance, and operational stability are essential. Demonstrated ability to recruit and develop talent, strengthening the team's capabilities through effective coaching and mentorship. The ability to engage in strategic technical discussions, adeptly manage technical tradeoffs and risks, and ensure alignment with product and business goals, especially in environments involving multiple systems and external partners. A sense of empathy for the customer and a relentless focus on shipping high-quality products. Excellent communication skills that empower you to effectively convey ideas, coach, mentor, and educate others. A keen interest in building AI-backed features and leveraging AI as an engineering productivity tool. What you'll do: Lead and Develop a High-Performing Team : Foster a healthy, collaborative, and diverse culture that reflects our company and engineering values. Coach and mentor individual team members, creating a structured environment and feedback loop that supports career development and hi

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. About the team Plaid’s Strategic Finance team plays a critical role in shaping our long-term business strategy and execution. The Strategic Finance team helps provide analytical rigor and data-driven insights to drive success across the entire organization The Strategic Finance team’s purpose is to support Plaid in achieving its short-term and long-term strategic & financial goals and help inform, articulate, and shape Plaid’s growth trajectory Role Description You will drive initiatives including forecasting, designing analytical and financial frameworks to optimize decision-making, and providing senior management with insights about our performance. You will be responsible for FP&A processes such as month-end reporting, forecasting, variance analysis, and preparation of financial reporting for senior leadership / Board. You are highly analytical and strategic, and can seamlessly navigate between complex details and the big picture. Responsibilities Support critical FP&A processes, including month-end reporting, recurring forecasts, and preparation of financial reporting for senior leadership and Board presentations. Act as a strategic partner to senior leaders by providing actionable f

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. Premier Support Engineers (PSEs) are primarily focused on assisting prospects and customers with any technical questions about Datadog. PSEs engage with Datadog’s Premier Customers via standard technical support channels, but are also involved with cadence calls, demos/presentations, conferences, and various side projects. You will work directly with Datadog’s Premier Customer base, and will be immersed in a fast-paced environment where you will be challenged, but will also immediately witness your contributions to Datadog and to our customers. 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: Respond to client requests (phone / chat / tickets) on our fast paced team while continuing to educate our clients on the use of the platform Develop relationships with our Premier Customers, working hand-in-hand to truly know their distinct environment Reproduce issues and dive into the 600+ integrations that Datadog works with Build out documentation and knowledge based articles for a variety of technology Drive product conversations based on needs and problems learned during client interactions Participate in routine health check meetings with Premier Customers Work from a Datadog office 3 - 5 days per week Who You Are: Experienced in multi-channel technical support at a SaaS company (2+ years of related experience) A tinkerer with some programming experience and a basic knowledge of Linux Self-motivated, detail-attentive, and have a desire for continuous learning A critical thinker who defaults to a client-centric approach A decision

VTS's Lease integrations connect our platform to the property management and accounting systems - Yardi, MRI, JDE, and others - that our customers run their portfolios on. When those integrations are healthy, data flows automatically and customers trust what they see in VTS. The Integrations and API Support Advisor owns the health of these integrations end-to-end - proactively monitoring for failures before customers notice them, and resolving the inbound requests that come in when something breaks or needs to change. Success in this role is simple to state and hard to deliver: every integration stays active, and customers can always rely on the integrity of the data VTS is showing them. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** What you can expect as an Integrations and API Support Advisor: At VTS, you'll join the Integrations Support team as a critical layer between our customers' source systems and the VTS platform. You'll: Own Integration Health : Monitor active Yardi, MRI, SAP, and custom API integrations for failures, stalled syncs, and missed feeds. Proactively identify and resolve issues - such as failed nightly imports, integrations stuck in "processing," or ETL files not arriving via SFTP - before they escalate into customer-reported problems. Resolve Data Integrity Issues : Investigate and fix discrepancies between VTS and source systems, including mismatched square footage, missing or duplicated leases, orphaned records, incorrect rent or lease terms, and unit/space mapping errors. Trace root causes across the integration pipeline rather than just patching symptoms. Manage the Customer Support Queue : Respond to and resolve inbound tickets covering the full integration lifecycle - API credential and access requests, asset archiving and disposition processing, source ID/BU remapping, stacking and site plan corrections, and MRI/Yardi version upgrades and migrations. Par

Become a part of our caring community Every large organization is making critical decisions today about how it will leverage AI over the next decade. Few have leaders who can both define that vision and demonstrate its viability through hands-on engineering. This role requires both. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations to source documents, and route difficult cases to human experts. These capabilities support decisions that impact real healthcare outcomes for members. As a Principal AI Applied Engineer, you will define the technical strategy, architectural standards, and long-term vision for AI-enabled products across the organization. You will influence enterprise-wide decisions regarding AI platforms, model strategies, engineering standards, and technology investments while remaining deeply hands-on in prototyping, experimentation, architecture, and software development. This is the highest-level individual contributor role within the AI Applied Engineering organization. Success requires exceptional technical depth, organizational influence, strategic thinking, and the ability to translate emerging AI capabilities into scalable, reliable, and responsible production systems. Why Join Us Shape the long-term AI architecture and engineering direction for a large enterprise healthcare organization. Influence how AI-enabled products are designed, built, evaluated, deployed, and governed across multiple teams. Drive strategic decisions involving models, vendors, platforms, infrastructure, and shared capabilities. Prototype and validate emerging technologies before the organization invests at scale.</

Use Your Power for Purpose Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, GCA's rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, market research, digital analytics, finance, and consulting. As a team, we partner to turn data into meaningful insights that will have a direct impact on patients' lives and the future of Pfizer as a data-driven organization. The Data Science Manager is accountable for delivering data science support across the commercial business. As a strategic partner to US Commercial teams, this person will develop and implement models and data science-derived insights that influence brands’ strategic priorities. These responsibilities will include driving the execution and interpretation AI/ML models, framing problems, and shaping solutions. This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. What You Will Achieve Commercial Data Science and Insights Provide data science and insights to US Commercial teams to drive brand tactic decisions Assist to frame, investigate, and translate complex data-informed models, and answer key business questions related to the identification and evaluation of brand strategies a

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU: We are seeking a tenacious, self-motivated Scaled Customer Success Manager who isn't just looking to manage relationships, you want to revolutionize how we support them. We need a builder with true grit who is obsessed with efficiency, automation, and the potential of AI to drive customer value at a massive scale. Our Scaled team operates at the intersection of human empathy and digital efficiency. We need someone who thrives in ambiguity and refuses to settle for "how it's always been done." You are innovative, agile, and eager to experiment with new technologies to "Blow our Customer’s Minds." If you are a self-starter who looks at a repetitive manual process and immediately thinks, "How can I automate this?", you belong here. WHAT YOU'

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As a SMB Sales Director, you will lead a team of Account Executives that focus on closing pivotal deals in accounts experiencing high growth. You will join a team of highly motivated sales professionals that take pride in landing new customers, running strategic sales cycles and delivering the Box message to a wide base of accounts across various industries. WHAT YOU'LL DO Hire, train, and manage a team of SMB Account Executives Develop Account Executives for career growth within the Box Sales organization Support team in customer on-sites, calls, and meetings Report on sales metrics and forecast to Senior Sales Management Motivate team to exceed objectives through coaching and mentorship Utilize Salesforce to manage sa