Performance Marketing Specialist in New York

ROLE SUMMARY We are looking for a Senior Data Scientist to lead complex data science engagements that combine traditional statistical modelling with Generative AI. You will work hands-on with very large datasets across disparate systems and formats, translate ambiguous business problems into rigorous analytical solutions, and present those solutions clearly to C-level stakeholders. This is a delivery-first role with a fast track into technical leadership: alongside your own project work, you will help guide junior data scientists and shape how Lynx builds and ships data science solutions. KEY RESPONSIBILITIES Solution Design & Delivery Design and deliver end-to-end solutions for defined data science problems, combining classical modelling, data transformation, and Generative AI / LLM techniques. Work hands-on with very large datasets across disparate stores and formats, from ingestion and transformation through to modelling and validation. Apply statistical and machine learning methods to business problems such as customer retention, campaign management, and commercial performance optimisation. Client Communication & Leadership Present results and prepare client-ready materials for project stakeholders, including C-level audiences, translating technical work into clear business narratives. Lead smaller data science workstreams, with support from internal leadership and the PMO, including day-to-day guidance for junior team members. Partner with delivery and account teams to scope problems, set realistic timelines, and manage stakeholder expectations. Knowledge Building Create reusable documentation, presentations, and code libraries during projects so future engagements can build on prior work. Participate in internal education, research, and knowledge-sharing initiatives that raise the technical bar across the practice. SKILLS, QUALIFICATIONS AND EXPERIENCE 8+ years of overall experience in data science, with a track record of leading analytic

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

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. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s unique network data to identify and stop fraud before it happens. The team owns the full ML lifecycle—from feature pipelines and model training to production serving and monitoring—building reliable, scalable systems that deliver high-quality fraud detection as we grow to support hundreds of customers. As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines that power production machine learning systems at scale. You’ll build robust observability, monitoring, and automated debugging capabilities, while leveraging AI-assisted tools to investigate complex system behavior and maintain high reliability. You’ll partner closely with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives and deliver scalable, high-impact ML solutions. Responsibilities: Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment. Solve complex technical challenges at the intersect

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

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing petabyte-scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distributed state machine to track rides and drivers from request through completion. We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging machine learning and data science. Responsibilities: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement

Who we are About Stripe Stripe 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. About the team The Platform Sales team works with B2B Software Platforms to help them facilitate payments for their customers using our Stripe Connect product. Software Platforms, also known as B2B Indirect, are software platform businesses who serve other businesses. Platforms already using Stripe include Shopify, Lightspeed and Mindbody. What you’ll do Responsibilities Recruit, train and lead a team of new business sales professionals Develop both the long-term vision and strategy for the team and manage day-to-day operations Be accountable for increasing revenue and scaling the team Coach, mentor and guide the team in developing consultative and solution-based sales skills Effectively work cross-functionally across the organization to shape Stripe’s solutions to meet client needs Inspire, motivate and enable individual development to promote career growth of direct reports Who you are We are looking for a self-starting leader who has demonstrated success dealing with ambiguity, operating in a high-growth environment, and solving complicated problems with limited oversight. Ideal candidates will have management and leadership experience scaling a technology sales team, superior communication skills, and a knack for understanding unique customer needs. Minimum requirements 13+ years of technology sales experience with 5+ years of people management experience Experience hiring, training and coaching a high-performance sales team Ability to build rela

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 Palantir’s in-house Legal team works to proactively address legal issues and enable the growth of our business so that Palantir can continue to drive positive impact in the world. Legal Operations is the backbone of the Legal team and is key to fulfilling Palantir’s mission. In that pursuit, we strive to cultivate Palantir's philosophy, develop relationships across the company, and operate with a service mindset. We develop a strong understanding of business strategy and have a passion for helping others, making us an invaluable resource. We’re a team that values both creativity and teamwork - whether operating solo or collaboratively, we endeavor to achieve great results. As a Legal Operations Specialist, you will be the initial point of contact for operational questions and requests, providing guidance where appropriate and coordinating with the right Legal stakeholders. You will be responsible for executing on workflows as well as streamlining strategic processes and operational functions of the Legal team. You will also work closely with other Legal Operations teammates to help implement key systems, optimize processes, manage projects, and create objectives and performance metrics. You will partner your colleagues across Legal to understand the needs and develop and execute solutions that scale alongside the business. This position requires a combination of execution skills, project management, and process optimization. Our ideal candidate will take initiative, operate with discretion and resourcefulness, and thrive off of executing on and supporting the processes, systems and platforms of the Legal team. Most importantly, they have a true desire to

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 member of the Programmatic Sales & Operations team, you will play a pivotal role in driving Pinterest’s advertising growth and revenue through a full-funnel sales strategy. As the primary partner to clients, you’ll drive deal creation, oversee campaign setup, and ensure seamless launches. Leveraging data-driven strategies, you will proactively optimize performance, uncover growth opportunities, and deliver exceptional results that maximize client value and business impact. Through close collaboration with cross-functional teams, you’ll help shape solutions that maximize business impact, streamline workflows, and deliver measurable results for advertisers at every stage of the funnel. What you'll do: Develop and execute full-funnel, programmatic sales strategies for top-tier clients, driving measurable business results across awareness,

Reporting to the Senior Manager, Enablement Curriculum and working across a cross-functional Enablement team, you'll build learning experiences that hold up in the field - objectives, practice, assessment, and the content that carries them. This is a builder's role. You'll decide how the learning actually works, and you'll own the quality of what ships. 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. Who you are: An owner: You take pride in your outputs and their outcomes. You take ownership from design through launch and everything that comes after it. An innovator: You challenge the status quo, bring new ideas, and look for ways to improve what already exists. An agile problem solver: You shift seamlessly between detail and big picture to meet the moment, adapting to change with a solutions-oriented mindset. A lifelong learner: You challenge assumptions and use curiosity to drive continuous improvement. A trusted advisor: You ask sharp questions, synthesize complex ideas, and build relationships to understand and explain ambiguous concepts. A clear communicator: You bring structure, clarity and polish to your work - written, verbal or visual. What you’ll do: Build the curriculum for Global Commercial Customer Success. Develop high-quality enablement content (instructor-led materials, facilitator guides, eLearning, job aids and assessments) for both individual contributors and their frontline leaders, built to instructional design and adult learning principles. Build within the learner journey. Contribute to and build the components of role-specific journeys (onboarding, everboarding and on-demand) inside the curriculum arc for your area. Know what good looks like. Translate performance expectations into observable behaviors and clear proficiency standards. Turn

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. What this job involves: As a Senior Project Manager for our Healthcare team, you will serve as a dedicated Owner's Representative, guiding complex infrastructure projects from concept to completion. This position requires a unique blend of deep technical expertise in mechanical and electrical systems and sophisticated client-facing skills to champion our clients' interests. At JLL, we are collectively shaping a brighter way for our clients, and in this role, you will be their trusted advocate—ensuring healthcare facilities are delivered on schedule, within budget, and to the highest standards of quality and regulatory compliance. You will act as the central point of communication, translating intricate technical details into clear, strategic actions for all project stakeholders. What your day-to-day will look like: Serve as the owner’s primary advocate and liaison, fostering collaboration between the client, design teams, contractors, and all project stakeholders. Manage overall project performance, including scope, schedule, and budget, to ensure successful delivery against key milestones. Provide expert technical oversight for mechanical (HVAC, medical gas, plumbing) and electrical (power distribution, emergency power) infrastructure systems. Review design d

The Technical Solutions (TS) Enablement team empowers Datadog's global post-sales organization—including Support, Customer Success, and Sales Engineering—with the skills, tools, and resources they need to deliver world-class customer outcomes. As a Senior TS Enablement Program Manager supporting Sales Engineering , you'll own the design and execution of complex, high-visibility enablement programs that drive lasting change across the TS organization. You'll operate with significant autonomy, lead cross-functional initiatives, and serve as a senior voice within the Enablement team—partnering closely with leadership to translate business priorities into measurable enablement impact at scale. 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 end-to-end strategy and execution for complex, global enablement programs—managing multiple concurrent workstreams across regions, functions, and timelines with limited guidance. Lead cross-functional stakeholder relationships with senior partners across StratOps, Product, TS Leadership, and the People Team—negotiating scope, aligning on priorities, and driving accountability without positional authority. Translate business goals and OKRs into multi-quarter program roadmaps; communicate priorities, trade-offs, and progress to leadership with clarity and a clear point of view. Design and implement comprehensive metrics frameworks to measure change adoption and program effectiveness; pull and analyze Salesforce and LMS data to track performance against KPIs; present findings to senior stakeholders and iterate for lasting impact. Build and deliver executive-ready materials that tell a compelling business story—translating complex data, program updates, and regional insights into structured narratives with clear

Who we are About Stripe Stripe 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. About the team This role is open to remote candidates located anywhere within the Eastern Time Zone. The Cash Platform team is part of Stripe's Money Movement Services Platform. We manage Stripe's FX and cash positions across the globe, owning two of the most commercially critical problems in our business: delivering the best possible FX trades for our users, and optimizing the cost and routing of cross-border payouts across countries. Stripe recently launched its own in-house bank, enabling near-instant movement of funds across accounts worldwide—and Cash Platform is at the center of bringing that infrastructure to Stripe's products and, increasingly, to our customers. What you'll do You'll work closely with engineering teams across Cash Platform and Money Movement Services, cross-functional partners spanning Legal, Treasury, Financial Crimes, and Sales, and senior stakeholders inside and outside Stripe. You'll define the strategy and roadmap for Stripe's FX and cross-border payout products, drive cost optimization and routing decisions at scale, and help shape the path toward monetizing Stripe's in-house banking infrastructure for users globally. Responsibilities You are expected to: Deeply understand the competitive landscape and define clear benchmarks for where Stripe's FX and cross-border payout products need to be Own the product strategy and roadmap for Cash Platform, balancing near-term cost and performance optimization with longer-term platform m

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data. We’re looking for a Technical Account Manager to partner with our most strategic enterprise customers and ensure they derive sustained operational value from Observe. This is a hands-on, post-sales technical role focused on long-term platform adoption, optimization, and technical partnership. You will work directly with SRE, DevOps, platform, and engineering teams to embed Observe into daily workflows, evolve telemetry strategy over time, and continuously improve reliability, performance, and cost efficiency. This role is ideal for an experienced observability practitioner who enjoys being deeply embedded with customer teams, solving real production challenges, and acting as a trusted technical advisor in complex enterprise environments. What You’ll Do Serve as the primary technical owner and trusted advisor for assigned strategic a

Salary range: $225k - $300k | Equity: 0.15% - 0.35% | In-Person: NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We’re looking for a fullstack engineer who wants to build the interfaces, tools, and infrastructure that help developers and enterprises use our models. You’ll work across the stack to shape how people interact with OCR, extraction, and document-understanding systems. That includes building core inference workflows, creating intuitive UI for complex parsing tasks, and improving the developer experience across our open-source repos and API. This is a high-ownership role that blends engineering, product thinking, and community engagement. You will work closely with the founders and the rest of the team to ship features, improve performance, and make our technology accessible to a global community of builders. As a small and fast-moving team, roles are fluid. You should enjoy working across backend, frontend, performance, and user-facing surfaces. Your work will directly influence how teams evaluate and deploy our models. Day to day, you will: Ship features to our open source repos, API, and internal tooling. Design and build frontend features that make document parsing more interactive and understandable. Optimize inference performance and improve th

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 Account Manager, you will be in charge of driving a sophisticated book of business featuring some of the largest advertisers at Pinterest. You’ll work directly with some of our key advertisers as a trusted consultant to their business. Your strategic advice, analytical skills and sales skills are core to bringing to life the value we deliver as a platform. In this role, you will help Home Retail advertisers translate inspiration into measurable business outcomes, connecting consumers from discovery to purchase in moments of high intent. You’ll partner with brands navigating performance goals such as efficient customer acquisition, catalog sales growth, and omnichannel conversion strategies, while helping them unlock the unique value of Pinterest as a platform where planning often precedes purchase. This is an opportunity to shape