Finance And Reporting Manager in New York

About the Team Our New Verticals team launched in 2020 with the purpose of delighting our customers and empowering local communities outside of just restaurants. Since then, we’ve launched Grocery, Convenience, Alcohol, Retail, and DashMarts while also building merchant services, dasher tooling and consumer products. New Verticals is the growth engine of DoorDash’s business and we are continuing to build and scale new businesses everyday! Grocery is one of our highest priority, most complex verticals that is key to acquiring consumers to new verticals outside of just restaurants. About the Role We are hiring a Senior Associate on our Grocery Merchant Strategy & Operations teams to work scaling the service offerings we can provide to consumers through our third party merchant partnerships with some of the most well known grocers and your local favorite grocers on our platform! In this role, you will lead growth projects for major Grocery merchants to ensure we are able to onboard every SKU or service a grocery store offers. This includes portfolio management, ideating and launching 0-1 initiatives across our merchants, onboarding merchants to new services and improving quality every step of the way. You will partner closely with product, engineering, finance, analytics and business development to bring these initiatives to life! These roles sit at the intersection of strategy, operations, and product. The best operators today are rapidly generating new ideas, taking ownership over metrics and moving them in the right direction through building product visions, synthesizing complex analyses and testing every idea — all while leveraging AI to uplevel how we operate. We expect this person to stay at the forefront of how AI is reshaping the work, actively exploring new tools, automating repetitive workflows, and finding ways to do in hours what used to take weeks. You will report into a Manager on our New Verticals Strategy & Operations team and be an

POSITION SUMMARY You will be responsible for managing the clinical sample logistics function for Pfizer’s vaccine clinical portfolio, ensuring samples are transported safely, compliantly, and reliably across domestic and international clinical trial networks to the Pearl River, NY biorepository and then distributed to our network of internal and external testing laboratories. You will lead an end-to-end logistics strategy from study start-up through operations and finally sample disposition. Your responsibilities include leading a large team, improving global logistics capabilities, advancing digital and automation initiatives, and partnering with Vaccines, Quality, Legal, Finance, Compliance, clinical study teams, couriers, and technology vendors. You will be accountable for maintaining sample integrity, enabling global clinical trial execution, and developing scalable logistics processes to support Pfizer’s vaccine pipeline. KEY RESPONSIBILITIES Lead the global sample logistics function--Provide strategic and operational leadership for a team of 40+ colleagues responsible for domestic and international shipment execution, study start-up support, ongoing operations, and clinical sample lifecycle management. Shape long-term sample logistics strategy. Develop scalable operating models, governance frameworks, and business continuity plans that support pipeline growth, clinical trial expansion, and evolving global regulatory expectations. Protect sample integrity and compliance. Ensure reliable, temperature-controlled movement of clinical biological samples while maintaining adherence to applicable FDA, EMA, IATA, DOT, CDC, trade compliance, GCLP, and Pfizer quality requirements. Advance inspection readiness and quality oversight. Maintain robust documentation and audit-ready processes for deviation management, CAPAs, change controls, an

About the Team The Dasher & Logistics team is responsible for ensuring every delivery is completed with speed, accuracy and a positive Consumer, Merchant and Dasher experience. Dasher & Logistics owns initiatives that touch all parts of the Dasher life cycle ranging from supply & demand, to cost & quality, to Dasher pay, to Dasher retention, to order batching and beyond. We care about metrics like delivery times, cost per order, delivery quality, dasher compensation, and many more! About the Role We are hiring an Associate Manager to help lead strategy and execution for our Dasher & Logistics regulatory markets, the growing set of cities, states, and countries where Dasher pay, benefits, and working conditions are shaped by minimum earnings guarantees, pay transparency requirements, and other logistics specific regulation. You'll own a portfolio of KRs across some of our highest priority business problems by getting into the weeds to understand what's happening on the ground, using data and customer insights to identify opportunities, developing and testing hypotheses, and partnering cross-functionally to bring solutions to life at scale. You will report directly to a Senior Manager on the Dasher & Logistics team. You’re excited about this opportunity because you will… Own a portfolio of KRs across our regulatory markets, setting the strategy and building the execution plan to hit your goals Use a data-driven approach to investigate problems, creating insightful analysis from a combination of quantitative and qualitative information, and implement next steps Operate at the lowest level of detail in order to build strong foundational knowledge of your problem space and provide recommendations for leadership Define and test hypotheses through experimentation, leverage AI to accelerate learnings, and scale successful strategies across the org Work cross-functionally across multiple teams to drive alignment and impac

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Optimize cloud financial operations to maximize value from cloud investments, including rapidly growing artificial intelligence (AI) and machine learning workloads Provide actionable insights on cloud spend, SaaS license optimization, and emerging AI cost drivers, including model inference and usage-based consumption Implement tooling, tagging standards, and processes that improve cost visibility and optimization across cloud, SaaS, and AI workloads Monitor large language model API consumption and GPU-intensive infrastructure to identify cost trends, anomalies, and optimization opportunities Build financial models to forecast cloud, SaaS, and AI expenditures for budgeting cycles, commitment decisions, and vendor negotiations Design cost allocation, tagging, showback, and chargeback models that attribute spend to the teams, applications, and use cases driving it Educate engineering and business owners on cloud financial management practices th

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. As we continue to scale our global platform, the Legal Assistant will play a critical role in managing outside counsel billing, legal department operations, and executive administrative support for Fanatics Commerce. ROLE OVERVIEW The Fanatics Commerce Legal Department is seeking a highly organized and detail-oriented professional to support the department’s outside counsel billing, core paralegal functions and executive administrative needs. This individual will work closely with Legal leadership, Finance, Accounts Payable, outside counsel, and attorneys across the department to ensure invoices are processed accurately and on time, legal spend is tracked against budget, and department leadership receives reliable administrative and matter support. The role will also provide backup support for litigation and disputes, consumer escalations and routine legal matters, as needed. The Legal Assistant delivers impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. HOW WILL YOU DRIVE IMPACT Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes. Billing, Budgeting & Outside Counsel Spend Management • Own the day-to-day administration

Position Overview: The Director, Product Marketing will own the end-to-end go-to-market strategy for Diligent Boards , driving positioning, messaging, product launches, market intelligence, sales enablement, pricing and packaging, and customer adoption across key segments and regions. We are looking for a strategic B2B SaaS product marketer with strong technical aptitude who can translate complex technology into compelling customer value. The ideal candidate has experience in a SAAS technology company. Exposure to product-led growth (PLG) is highly valuable. You will partner closely with Product, Engineering, AI/Data, Sales, Marketing, Customer Success, Enablement, Finance, and senior leadership to identify market opportunities, influence product strategy, and bring differentiated technology solutions to market. This is a high-impact role requiring someone who can move seamlessly between technical product detail, customer insights, commercial strategy, and compelling storytelling . Key Responsibilities: Go-to-Market & Product Strategy Own end-to-end GTM strategies for Diligent Boards across key customer segments and regions. Develop differentiated positioning, messaging, value propositions, and launch strategies based on customer, market, and competitive insights. Partner with Product and Engineering to understand product roadmaps, technical capabilities, integrations, data, AI functionality, and translate these into compelling customer benefits. Identify opportunities to improve product-market fit, adoption, expansion, and revenue growth. AI & Technical Product Marketing Develop GTM strategies for AI-powered products and capabilities , translating AI/GenAI functionality into clear business value and differentiated market positioning. Build sufficient technical depth to

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We are looking for a visionary, customer-obsessed and technology-focused product lead with expertise in mobile app development. In this role, you will be instrumental in shaping the future of CLEAR’s mobile app experience, delivering impactful solutions that drive user satisfaction and business growth moving CLEAR’s mobile app from a collection of features into an intelligent, trusted travel companion that helps members prepare, navigate, and recover throughout their journey. You will build a mobile App experience that is the most helpful digital layer of the travel day and be accountable to driving adoption. You will connect CLEAR’s identity capabilities, real-time travel context, airport operations, member relationships, and partner-enabled services into experiences that are personalized, proactive, and genuinely useful before, during, and after travel. This includes helping members understand airport conditions, find the right path through the airport, discover food and lounge options, and access relevant CLEAR and partner services in the moments that matter. What you'll do: Establish CLEAR’s Mobile app strategic vision and product roadmap in alignment with enterprise goals and user needs, converting a multi-year vision into prioritized product investments, structured sequencing, and core metrics like member retention and app engagement. Transform the app into an intelligent travel companion that guides members through preparation, real-time navigation, food ordering, lounge discovery and access, and any disruptions. Collaborat

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We are seeking a Senior Manager of Industrial Engineering to join CLEAR's Central Operations team. This role is the quantitative backbone of our Experience & Operations Design function — owning the data-driven design standards, labor models, and capacity planning that determine how CLEAR's physical operation is structured and staffed. You will be the analytical engine behind lane design decisions, engineered labor standards, and demand forecasts, ensuring the operation is designed to deliver a consistently excellent member experience efficiently at scale. What you'll do: Develop and own engineered labor standards and staffing models across CLEAR’s physical experiences, including Verifier, Greeter, eGate, Concierge, TSA PreCheck, Enrollment, Sports, and new programs, serving as the operations source of truth for labor and headcount inputs Define physical operating requirements and sizing standards across lane configurations, verification and enrollment experiences, hardware placement, and queue management; lead checkpoint design for new and existing airport locations Lead demand forecasting and capacity planning across CLEAR experiences, modeling throughput, staffing requirements, operating hours, and operational impact for new programs, launches, surge periods, and events Drive operational efficiency through time studies, process analysis, and labor optimization, identifying and developing opportunities to improve productivity, capacity, and the Member experience across the network Partner cross-functionally with Operations,

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 Fraud Data team within Plaid's Fraud organization. We leverage relationships and activity across Plaid’s network to develop machine learning models that help customers detect and prevent fraud while minimizing friction for legitimate users. Our team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. In this research role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. As a Senior Research Scientist, you will lead applied research to develop next-generation fraud detection models across relational graphs, sequential events, images, and video data. You’ll design rigorous experiments and evaluation methodologies that reflect real-world fraud dynamics, while exploring state-of-the-art approaches such as Graph Neural Networks and Transformer-based foundation models. In close partnership with Machine Learning Engineers, you’ll translate promising research into production-ready solu

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

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. About the Team The Embedded Insights team supports Plaid’s mission to build a world-class suite of intelligence products. We identify the best opportunities to use machine learning in Plaid products, prove out those opportunities, and collaborate with cross-functional partners to turn them into real-world production systems. About the Role As a Senior Machine Learning Engineer on Embedded Insights, you will help shape Plaid’s future by building machine learning-powered products and features. You will initially support the Plaid App, working on a 0-to-1 consumer-facing product and helping establish product-market fit for a new business line. You will work closely with product managers, data scientists, engineers, customers, and other machine learning engineers to translate ambiguous opportunities into effective ML systems that create measurable customer value. In supporting the Plaid App, you will: Build machine learning-based features for a 0-to-1 consumer-facing product. Partner with product managers to translate ambiguous business requirements into machine learning problems and influence product strategy and roadmap decisions. Rapidly iterate and experiment to help drive product

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. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to car

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. At Plaid, our mission is to empower innovators by delivering access to the financial system. Since 2012 we've helped tens of millions of consumers live a better financial life and thousands of customers build a new financial future. We work with companies like PayPal, Rocket, H&R Block, and many of the largest banks in the US to make it easy for consumers 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, Raleigh, Washington D.C., London and Amsterdam. The Account Management team in Plaid’s Enterprise Segment leverages deep product and industry expertise to help our customers build and scale technology solutions. We act as partners, advisors, and advocates for our customers to help shape how consumers interact with their finances. As an Enterprise Account Management Lead, you’ll be responsible for managing the team of senior account managers who are growing the revenue from the Enterprise customer base, as well as setting the vision and strategy to build long-term

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 Enterprise Hunter Solutions Architecture Team aims to land new users adopt prescriptive solutions that drive their growth and success. We work with C-level executives, finance leaders, product design and engineering teams at global brands who are building financial services solutions with Stripe. Our SA team works closely with Account Executives, Professional Services, Partners, and Product Teams to develop our strategy for winning new users. At Stripe, managers grow people and inspire them to do outstanding work. This leader must be a driver who loves building teams through its people and can deliver outstanding results. This role requires great interpersonal skills to work cross functionally as a trusted advisor to both our sales, partner and professional services teams. This role will also play an important role in helping shape our product and messaging with our product development and marketing teams. As a manager/leader of Solution Architecture for our new business, you will recruit, lead, and mentor a world class pre-sales engineering team to grow our user base through new deals. You will drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business results. You will lead from the front and drive outcomes for our users. What You’ll Do Responsibilities Recruit, hire, lead, and retain a world class pre sales team. Be an advocate for the

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 like Anthropic to Fortune 500s like Siemens, Datalab is where businesses turn when extraction has to be right. We hit an 8-figure run rate with a team of 7. We have hundreds of customers across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools - chandra, surya, marker, and lift - have 70,000+ GitHub stars, millions of monthly downloads, and broad developer mindshare. We’re backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview Marketing at Datalab already has real infrastructure behind it. We run a combined launch and content calendar with a defined playbook - channels, owners, and cadence for every release - and we ship two to three launches a week against it. No one here works on marketing full-time, so nobody owns the larger question of how we show up when a developer, a buyer, or an AI agent goes looking for a document parser. You’d be our first dedicated marketing hire. You’d inherit a working system rather than a blank page, and the job is to make it run reliably, then make it considerably more ambitious. The natural place to build from is our open source work, which reaches a wide audience and currently does less for us than it could. This is a hands-on role. On a team of 7, you’ll write the blog post, draft the tweets, restructure the docs page, brief the agency if we hire one, and pull the numbers yourself. We’re looking for someone who has done this work somewhere it was done well, and who wants to keep doing it rather than direct someone else who does. There is strong potential for this to grow into a leadership role as we hire more people into the marketing team. An increasing share of our buyers never touch a search results page; they ask a model. We want someone who t