Jobs in United States

Product Lead in New York

480 active opportunities · Updated October 2026

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

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

$100K – $155K/yr

Quick readStrong listing-quality and freshness signals

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As we continue to scale our Logistics business we are seeking a dynamic and experienced Account Executive to join our team in London, UK or New York, US. As an Account Executive at Altana Technologies, you'll be at the forefront of our sales initiatives, playing a crucial role in growing our footprint with Logistics Service Providers. You'll be working closely with various teams, including Account Management, Product Management, and Marketing to drive sales cycles and build new business pipelines. Your Responsibilities Develop detailed sales plans and sales forecasts Drive active sales cycles while building new business pipeline through prospecting and relationship building with mid-sized Logistics Service Providers Manage a large portfolio of Logistics Service Provider accounts from Ocean Liners to Customs Brokers. Summarize product feedback gathered from customer meetings and act as advocate for our customers with internal development and product teams Maintain up to date knowledge of logistics industry, Ability to sell across multiple Lines of Business simultaneously (IT, Procurement, Transportation, Supply Chain/Logistics), Travel to meet with clients, prospects and partners About You Experience working with a fast-growth technology company, strongly preferred 5+ years of Enterprise Software sales experience is required Passionate about the supply-chain and logistics/transportation space. Excellent presentation skills, with the ability to communicate effectively to both technical and executive audiences, whether it's an impromptu whiteboard discussion or a prepared presentation and demo. Ability to be strategic, but still roll up your sleeves to accomplish what needs to be done Highly organized with a strong sense of urgency to meet deadlines Ability

AISupply ChainLogisticsProcurement
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📍 New York, New York, United States· Full-time· Remote
✓ High-confidence listingCompany trend -72.3%
Quick readStrong listing-quality and freshness signals

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. We are the Data team within Plaid’s Fraud organization. We build the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s network data to help identify and prevent fraud before it happens. Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and built to support hundreds of customers and data partners. As a Data Scientist on the Fraud Data team, you will analyze customer and network traffic to understand how Plaid Protect performs across a range of use cases and customer segments. You’ll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion. You’ll also design scalable data models and schemas to enable reliable analysis and reporting, while partnering closely with Product and Engineering to design and analyze experiments for new customer-facing features. Responsibilities: Work at the intersection of product analytics, machine learning, and fraud a

PythonSQLAWSMachine Learning
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📍 New York, New York, United States· Full-time
✓ High-confidence listing

$93.6K – $117K/yr

Quick readStrong listing-quality and freshness signals

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. Data at Brex The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company. What you’ll do As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions. Where you’ll work This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in

PythonSQLGitAI
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📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -84.7%
Quick readStrong listing-quality and freshness signals

As a Software Engineer - Frontend on a feature team, you'll be responsible for building an intuitive, responsive product. Your work will help thousands of customers to monitor the health and performance of their systems, no matter the scale. In this capacity, you’ll use tools like React and Typescript to help streamline the flow of data from platform to user, enable seamless pivots from one view to the next, and build a powerful yet easy-to-use platform. You will work on complex frontend challenges for thousands of customers with huge sets of data and work on exciting scalability and performance challenges. Our users are also developers so you will feel close to the product and have an impact on the development world. You will be part of a front-end community of 200+ passionate frontend engineers and you will be surrounded by experts. Join us to build the next generation of high-scale, data-powered features for our customers. 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: Work closely with backend engineers, product managers and designers to inform/refine/validate design concepts Break down complex features into distributable engineering tasks and rollout plans Design and deliver features that have direct impact on thousands of users Experiment with and advocate for new systems, design patterns, and tooling Participate in hackathons, sync with other Front end engineers at the monthly demos meeting and yearly Front End summit Use and contribute to a best-in-class in-house design system Own meaningful parts of our service, improve performance and address scalability limits Work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challen

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

From $131K/yr

Quick readStrong listing-quality and freshness signals

Datadog is a world-class monitoring and security platform for cloud applications. We're dedicated to creating, developing, and supporting our product and customers, fostering seamless collaboration and problem-solving among Dev, Ops, and Security teams globally. Built by engineers for engineers, our SaaS product is trusted by organizations of all sizes across various industries, driving digital transformation, cloud migration, and infrastructure monitoring for our customers' entire technology stacks. As cloud technologies continue to evolve and digital operations become ever more crucial, Datadog remains at the forefront of innovation and is well-positioned for sustained growth. Datadog's Finance team partners with stakeholders across the organization, providing commercial, operational, and analytical support to ensure that Datadog's business continues its rapid and efficient growth. The Equity Administration team is responsible for overseeing the full cycle of stock administration on a global basis, collaborating with groups across Accounting, Tax, People, Payroll, and Legal to manage Datadog's equity plans worldwide. Our work spans the processing of equity transactions including RSU releases, stock option exercises, and ESPP purchases; management of equity-related inquiries from employees, executives, investors, and other key partners; day-to-day management of the E*TRADE Equity Edge Online platform; global equity reporting and tax compliance; oversight of equity procedures, policies, and controls; and employee education on equity programs. We are seeking a hands-on Equity Administration Assistant Manager to own our complex and high-risk equity workstreams. Reporting to the Senior Manager, Equity Administration, the Assistant Manager will serve as a first level preparer or reviewer on equity transactions, assist with process documentation, and work closely with various internal teams across Accounting, Tax, People Operations, Payroll, and Legal. This is a ro

PythonSQLGitAI
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📍 New York, New York, United States· Full-time
✓ Quality checkedCompany trend -72.3%

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. Our Sales team combines deep product and industry knowledge and is focused on bringing Plaid to an ever-broadening set of businesses. Our thesis is that every company in financial services, and most specifically the Banks themselves, can benefit from better technology and access to data. We’re building a team to work exclusively with the financial institutions throughout North America to help enable their transformation to deliver incredible digital and consumer experiences to their customers, at the scale and quality needed by the largest banks. Your focus will be on selling into a territory of banks and credit unions, running the full sales cycle and building strong, long-lasting relationships to help them execute on their vision. You'll bring Plaid to banks and credit unions, with a focus on banking and wealth workflows like online account opening, consumer lending, asset and income verification, and fraud prevention. Responsibilities: Identify potential customers and run the end-to-end sales process within our Banking and Wealth segment Build and maintain relationships with Financial Institutions, from executives to product teams and developers; be viewed as a subject matter expert Partner with

AWSGitRestAI
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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

GitMachine LearningAIGo
S
📍 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, New York, United States
✓ High-confidence listingCompany trend -84.7%
Quick readStrong listing-quality and freshness signals

Business Systems drives efficiency across Datadog through business process analysis, systems automation and integrations, AI agent and MCP development, and vendor/software review. The team is increasingly embedded in cross-functional initiatives across People, Finance, GTM , Legal, Recruiting, and Technical Solutions — translating ambiguous business problems into scoped, buildable solutions and owning delivery end-to-end. This is not a generalist BSA role. Each Senior BSA will own a cluster of business functions end-to-end, acting as an internal product manager for their domain rather than processing inbound requests reactively. There are two openings, each covering a different domain: People, Recruiting, Legal or Finance, GTM, Procurement As the role evolves alongside AI, Senior BSAs leverage agentic tools for data aggregation and context gathering while remaining the critical human-in-the-loop layer — owning business context and product outlook, validating use cases, managing stakeholder relationships, and making the judgment calls agents can't. 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: Discovery and scoping: Translate ambiguous asks from business stakeholders into well-defined requirements that Business Systems Engineers can build against. Many stakeholders don't know what they want or the cross-functional impact of what they're asking for — you surface both before engineering begins. Cross-functional visibility: Identify dependencies, downstream impacts, and integration considerations that requesting teams miss. Proactive opportunity identification: Develop deep domain knowledge to identify automation and AI opportunities before they become inbound requests, shifting the team from reactive in

AISalesforceFinanceProcurement
T
📍 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

H
📍 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

JavaScriptTypeScriptPythonSQL
P
📍 New York, NY, United States
✓ High-confidence listingCompany trend -85.6%
Quick readStrong listing-quality and freshness signals

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 . As a Sr Client Partner at Pinterest, you will serve as a strategic visionary, cultivating trusted relationships with top-tier clients in the pharma industry through your deep expertise in full-funnel sales. By leveraging your nuanced understanding of client businesses, you will independently engage assigned customer accounts to promote Pinterest products effectively. Your primary responsibilities include meeting performance targets, developing new business, maintaining and expanding customer relationships, and resolving specific customer issues. By guiding clients’ efforts, you'll drive value for millions of Pinners seeking inspiration and action, forming strategic alliances both internally and externally. Success in this role depends on your ability to drive substantial revenue growth and spearhead a vision for long-term client success in a col

D
📍 New York, New York, United States
✓ High-confidence listingCompany trend -84.7%
Quick readStrong listing-quality and freshness signals

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

AISalesforceProject Management
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📍 New York, New York, United States· Full-time
✓ High-confidence listing

From $150K/yr

Quick readStrong listing-quality and freshness signals

VTS runs a complex, high-volume revenue motion — Salesforce CPQ feeding NetSuite via middleware, with mid-contract amendments involving upsells, cross-sells, volume changes, downgrades, and product churn happening continuously. The integration layer that connects these systems is functional but manual-heavy, underdocumented, and not built to scale. Furthermore, our CRM and CPQ system requires customization in order to optimize deal workflows to ensure accuracy and timely contract execution. This is not a Salesforce admin role with a developer title. We need someone who writes clean Apex, understands how CPQ order data needs to land in an ERP, knows what good middleware design looks like, and treats release management as a professional discipline — not an afterthought. Alongside our RevOps system team and Salesforce Architect, you'll work closely with our Finance and Sales teams. You will be one of the internal technical voice that evaluates and challenges what those partners propose — knowing when to push back when something is wrong. ** 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 a Senior Salesforce & Integration Engineer: Salesforce / CPQ Own the technical customization and development of Salesforce — LWCs, Apex classes/triggers etc along with flows Manage the scaling of custom objects that drive pre/post sales teams in meeting customer needs and internal workflow management Write and maintain Apex triggers, classes, and flows that support Salesforce and CPQ business logic — with test classes that hit 90%+ coverage as a floor, not a ceiling Integration Architecture & Development Partner with third-party implementation firms on the integration build and growth connecting Salesforce CPQ to NetSuite — be the internal technical reviewer, not just the observer Own the internal integration layer as it matures: field

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