Jobs in United States

Product Integration Lead in New York

480 active opportunities · Updated October 2026

Explore current product integration lead jobs in New York. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -84.7%

From $139K/yr

Quick readStrong listing-quality and freshness signals

Reports to: Head of Developer Growth · New York, NY NOTE: This is not a traditional marketing role, it's a growth role that reports into the Product org. We're hiring someone to build our developer audience the way the best consumer brands build audiences, with a real voice, a point of view, and the speed to act on both. You'll own where and how we show up in the places developers actually spend time, run our developer social channels, expand into new ones, and build the tooling and measurement behind it. This is a builder role, not simply a coordination role. What You'll Do: Own the voice, editorial standard, and publishing cadence for Datadog's developer channels (@datadogdevs on X, Datadog Developers on LinkedIn) Treat replies as a primary surface. The best accounts win in the mentions, not the feed Expand into the places developers actually spend time: Reddit, YouTube, Discord, Bluesky, dev.to, Hacker News, and whatever you make the case for. Always openly as Datadog — developers catch anything else immediately, and you only get caught once Turn shipped engineering work into things people want to read and watch. Releases, changelogs, war stories, the occasional postmortem that deserves a wider audience Build the attribution model connecting what you publish to trials and signups. Nobody is handing you this one Run real experiments: a hypothesis, a readout, and the willingness to kill something publicly when it doesn't work Lead the developer content engine around events Get other people posting — Datadog engineers under their own names, and developers outside the company who already like us and could use the support Track what developers are saying about us and our competitors, and route it back to product and growth Who You Are: You've grown an audience from a small number to a large one You can point to outcomes your content moved, not just reach You're a strong writer with a distinctive voice, and you know the difference between writing about an audience and

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📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -84.7%

From $234K/yr

Quick readStrong listing-quality and freshness signals

We’re looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. 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: Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production. Build and benchmark GenAI/ML models using state-of-the-art techniques. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equiva

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📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -84.7%

From $244K/yr

Quick readStrong listing-quality and freshness signals

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

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📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -84.7%

From $71K/yr

Quick readStrong listing-quality and freshness signals

Datadog is looking for a resourceful and creative Associate Field Marketing Manager to lead event strategy and execution for Datadog's AI product line across the East and Canada region. This role is ideal for someone who is passionate about AI and developer communities, enjoys getting hands-on with technical audiences, and wants to build a market-leading brand presence for Datadog's AI offerings. As part of the NAMER Field Marketing team, you will own the strategy, planning, and execution of a mix of practitioner-focused events, hands-on workshops, and surround activations at major AI conferences. This role is critical to scaling awareness and adoption of Datadog's AI products, and to building durable relationships with AI customers, prospects, and the broader developer community. 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 the strategy, planning, and end-to-end execution of AI practitioner events, hands-on workshops, and meetups across the East and Canada Lead surround and off-site activations at major AI conferences (e.g., NVIDIA GTC, Ray Summit, AI Engineer Summit, and similar industry events) to build brand visibility and drive engagement with target audiences Partner with Product Marketing and AI/ML product teams to translate Datadog's AI observability and LLM monitoring capabilities into compelling, technically credible event content Design and continuously improve hands-on workshop curriculum and live demos that showcase Datadog's AI products to practitioners and technical decision-makers Build scalable, repeatable event playbooks and toolkits so programs can be run consistently across multiple markets Manage vendors, venues, budgets, staffing, and on-site logistics, ensuring every event reflects Datadog's brand and delivers a seamles

RestMachine LearningAIGo
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📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -84.7%

From $320K/yr

Quick readStrong listing-quality and freshness signals

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

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📍 New York, United States
✓ High-confidence listingCompany trend +671.4%

$239.9K – $399.8K/yr

Quick readStrong listing-quality and freshness signals

ROLE SUMMARY The Clinician Medical Monitor is accountable for providing medical and scientific expertise and oversight for Clinical Trials and serves as a single point of accountability for design, execution, monitoring, delivery and reporting of one or more clinical studies and to ensure patient safety. The clinician medical monitor may be required to design a development strategy for multiple protocols designed to obtain worldwide approval for a compound or group of compounds. In addition to study level activities, the clinician medical monitor may participate in standing committees, review compounds for potential in-licensing, including performance of due diligence reviews, and aid new business development on market opportunities and the target product profile. ROLE RESPONSIBILITIES Accountable for safety across the study Provide study team with medical advice for all medical issues during risk assessment and mitigation planning to enable quality, compliance and patient safety at the trial, site and patient level. Ensures development of and adherence to the Safety Surveillance Review Plan (SSRP). Consistent with the SSRP, performs and documents regular review of individual subject safety data, and performs review of cumulative safety data with the safety risk lead. As appropriate, the clinician medical monitor may delegate these responsibilities to the study clinician scientist identified in the SSRP. The specific components of safety data review are detailed in the appropriate SOPs and the “Safety Data Review Guide – for Clinicians.” Monitor study safety issues and provide input to serious adverse events (SAEs) reports. Provides appropriate medical context in terms of risk factors, medical history and other important medical factors required to put the SAE or AE into appropriate medical context required for benefit-risk assessm

AIRecruitment
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📍 New York, NY, United States· Full-time· Hybrid
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Backend Software Engineers at Palantir build software at scale to transform how organisations use data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You will collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader. Your day-to-day workflow will vary, adapting to the requirements of our users and the technical challenges that arise. One day, you may find yourself collaborating with other engineers to architect a new system that enables a novel workflow, the next you could be fine-tuning performance to enable low-latency operational outcomes. Our Product Development organisation is made up of small teams of Software Engineers. Each team focuses on a specific aspect of a product and work collaboratively to build cross functional capabilities, streamline user workflows and continuously improve our software's efficiency and reliability. We’re hiring engineers who are passionate about solving real-world problems and empowering both developers and end-users to work optimally. If you’re motivated to develop reliable, performant, and scalable systems, and to design robust APIs and primitives, this role offers the opportunity to make a

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📍 New York, NY, United States
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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

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📍 New York, NY, United States
✓ High-confidence listingCompany trend -87.9%
Quick readStrong listing-quality and freshness signals

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Drive risk strategy for company-level strategic initiatives, which includes: partnering with the company’s product, legal, operations, sales, and partnerships teams to solve risk problems and ensure a positive user experience. Perform research and analysis to assess Stripe’s current risk performance and develop and prioritize long-term strategic plans for future growth. Increase business enablement, allowing the types of supportable merchants to safely grow at scale, continuously optimizing for efficiency and effectiveness, and stay hyper focused on a positive user experience. Challenge the status quo and provide multiple alternative solutions and key execution criteria. Execute special projects and provide ad hoc analyses as initiatives, products, risks, and opportunities are constantly evolving. Who you are Minimum requirements Must have a Bachelor's Degree or foreign equivalent degree in Law, Business, Policy, Development Studies, or a related field, plus five (5) years post-bachelors, progressive related work experience as a Risk Strategist or a related occupation. Must also have five (5) years of experience in each of the following: Developing risk strategies and solutions and working with technical products, including working with product and engineering, and operations teams for implementation; Distilling complex, ambiguous risk and policy problems into clear guidance for internal sta

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📍 New York, NY, United States
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Yext (NYSE: YEXT) is the enterprise agentic marketing platform. Built on the world's most comprehensive structured data platform for local businesses, Yext gives brands and their partners the visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands and digital marketing partners in financial services, healthcare, retail, hospitality, and food rely on Yext to manage, measure, and optimize visibility at scale. For more information, visit yext.com . At Yext, Product Engineering builds and evolves the technology behind our products and services. We’re looking for software engineers who want to solve meaningful technical problems, contribute to systems at scale, and help shape what we build next. We work in an agile environment with two-week sprints and regular demos that keep teams aligned and give engineers clear visibility into the impact of their work. From day one, you’ll contribute directly to the codebase and collaborate with experienced engineers from a wide range of leading universities and technology companies. We are looking for an engineer to join Team Watson , which owns and develops the systems that power Yext Search and Yext Chat. The team builds the indexing, retrieval, and serving technology that enables brands to deliver fast, relevant answers across their websites and digital experiences. Yext Search handles more than 50 million requests each month, serving users around the world in over a dozen languages. Watson also brings these search and retrieval capabilities to Yext Chat, helping conversational experiences generate useful answers grounded in trusted customer content. Because Watson’s systems serve real-time, customer-facing experiences at a global scale, engineers o

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TN
📍 New York, NY, United States
✓ High-confidence listing

From $85/hr

Quick readStrong listing-quality and freshness signals

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. Wirecutter strives to be the most trusted product recommendation service on the internet. We obsessively test and report on thousands of items each year to recommend the best of everything. Our goal is to save you time and eliminate the stress of shopping, whether you’re looking for everyday gear or gifts for loved ones. We work with total editorial independence. That means nothing appears on the site as a recommendation unless our writers and editors have deemed it the best through our rigorous reporting and testing. Wirecutter was founded in September 2011 and acquired by The New York Times Company in October 2016. Wirecutter is mission-driven and reader-supported; learn more about us here. About the Role Wirecutter is looking for a strategic and operationally oriented partnerships leader who is passionate about driving performance-based results that provide the best buying experience on Wirecutter Picks. The Director, Commerce Partnerships reports directly to the Executive Director, Commerce and is the team leader responsible for business development, partnerships and affiliate operations. You will emphasize building career development plans through active mentorship of the team, and working across the organization to achieve our goals and priorities. This role is open to remote hiring. This is a temporary role running from September 2026 - May 2027. Responsibilities: Oversee the strategic development of Wirecutter’s affiliate reven

TN
📍 New York, NY, United States· Remote
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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 NYT Wirecutter is looking for a Senior Manager, Revenue Analytics to power our business strategy. Your core mandate is to increase audience monetization across our primary businesses—Affiliate, Advertising, and E-commerce—ensuring we preserve long-term audience trust. As a player-coach role, you will lead a team of analysts and partner closely with Revenue, Product, and Marketing leads to establish KPIs, run conversion experiments, and build attribution frameworks that scale revenue. You will report to the Executive Director, Data Analytics. Responsibilities You will lead, mentor, and onboard a team of two direct reports, nurturing their career growth You will analyze affiliate revenue drivers (e.g., merchant commissions, EPC, conversion rates, and partner yield) across all content touch points. You will be the analytics lead for the newly launched Wirecutter Store, reporting on unit economics, merchandise performance, cart funnel analytics, order value (AOV), and customer acquisition/repeat purchase metrics You will partner with Ad Ops and Advertising teams to track ad yield (RPM, eCPM), fill rates, and ad unit viewability, balancing display and custom content revenue against user experience and page speed You will evaluate trade-offs between affiliate links, ad placements, and Wirecutter Store product placements on site, creating a holistic monetization framework to maximize total revenue per user. You will lead recur

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📍 New York, NY 10011-1619, United States
✓ High-confidence listingCompany trend +89.4%

From $20/hr

Quick readStrong listing-quality and freshness signals

Starting Hourly Rate / Salario por Hora Inicial: $20.00 USD per hour ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT GENERAL MERCHANDISE Experts of operations, process , and efficiency who enable a consistent experience for our guests . Teams in General Merchandise (GM) prioritize guest experience while blending completion of tasks that ensure product is available and easy to shop – replenishment, pricing and signing, setting, and maintaining the sales floor and the backroom. The GM teams also execute inbound, outbound, and fulfillment responsibilities . At Target , we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a General Merchandise Expert can provide you with the skills and experience of : <d

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📍 New York, United States of America, United States
✓ High-confidence listingCompany trend +103.7%
Quick readStrong listing-quality and freshness signals

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

DU
📍 New York, NY, United States
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Team DoorDash’s mission is to grow and empower local economies. By building intelligent, last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about — helping grow businesses and the communities that support those businesses. The Marketing Technology team is responsible for delivering best-in-class tools, data, and processes so teams at DoorDash can effectively acquire new customers, drive retention, and grow new business lines across all our audiences. Our mission is to enable teams to deliver personalized, engaging, and relevant content across all our owned and paid channels. We partner closely with Product, Engineering, Data Science, and Analytics teams to translate Marketing’s technology needs into measurable business outcomes for our Growth and Performance Marketing teams. About the Role We're looking for a Senior Associate, AI Solutions Architect to help build and scale AI-powered tools across DoorDash's Marketing teams. You'll work alongside our existing Marketing Technology AI Solutions Architects to identify opportunities where AI can solve real marketing problems, then build, test, and iterate on the solutions that make it happen. This role is grounded in hands-on building: you'll spend your time prototyping, coding, and shipping tools rather than pitching strategy from the sidelines. This is a great opportunity to grow your technical and strategic skills at the intersection of marketing and AI. You'll get mentorship from a team of builders and exposure to the full lifecycle of AI development from prototype to deployment. This role will report to the Senior Manager, Marketing Technology within the Growth Marketing organization. You're excited about this opportunity because you will… Build and deploy AI-powered tools and automations, such as automated reporting, QA frameworks, and workflow optimizations. Develop MVPs and proof-of-concepts, then iterate based on user feedback within a defined w

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