Finance Intern Assistant in United States

Salary range - $250k - $350k | Equity - up to 0.5% | 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 Research Engineer to own problems end to end across our models, inference service, and product. You won't just train a model and hand it off. You'll take it from training through benchmarking, into our inference stack, and work with the team to integrate it into our products. We're a small team that has shipped the current state of the art OCR model, Chandra. Our models collectively have 70k+ Github stars. Our tools are used internally at frontier AI labs like Anthropic, and Fortune 500 enterprises like Siemens. Our team focuses on training small, efficient models that outperform much larger LLMs on domain-specific tasks (like OCR, structured extraction, tables). We move fast, prioritize practical results, and build tools that are open, reproducible, and built to last. You'll test hypotheses quickly, iterate on results, and balance experimental rigor with shipping to customers. Day to day: A typical project might look like: identify a gap in extraction quality on long documents, train and benchmark a new model, optimize it for inference, and work with the team to ship it to users. Concretely: Train and evaluate models: Train task-

Salary range: $300k - $350k | Equity: 0.4% - 0.6% | 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 an engineering lead to guide our team while staying hands-on in the code. You'll set the technical direction and standards for how we build the interfaces, tools, and infrastructure behind our OCR, extraction, and document-understanding systems. This includes everything from optimizing agent loops and interfaces to helping to speed up inference. This is a player-coach role. You'll manage and grow a team of three engineers, own engineering delivery and quality, and spend a large share of your time writing code - focused on architecture, infrastructure, and the hard problems rather than routine feature work. You’ll partner closely with the research team to define the handoff between experimentation and production. As a small and fast-moving team, roles are fluid and ownership is high. You'll work directly with the founder to set priorities, ship features, and make our technology accessible to a global community of builders. Day to day, you will: Manage and grow a team of three engineers - 1:1s, prioritization, feedback, and hiring as we scale. Own engineering delivery, quality, and technical standards across code, testing, infrastruct

Founding Engineer, Open Source Salary range — $225k – $300k | Equity — .15%-.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 Founding Engineer to develop and evangelize our open source repos. This includes chandra, surya, marker, pdftext, and lift, which collectively have over 70k Github stars. It also includes new tools we have yet to build and launch. As you work on our repos, you’ll also become the credible person to evangelize them. You’ll turn your own work into demos, benchmarks, tutorials, and launches. You’ll also support other launches across Datalab, especially when they touch open source components like the SDK. Our projects have real reach: 70k+ GitHub stars and users everywhere from frontier AI labs to Fortune 500s. Your job is to turn that reach into a thriving, engaged developer community through content, code, and showing up where developers already are. If you're the kind of engineer who’s energized by both building things and helping other people build, this is the role for you. Day to day: Own our open source repos and SDK: Drive chandra, surya, marker, lift, and our Python SDK forward as a hands-on contributor. Ship new features and improvements that the market cares about, help plan new versions, and ow

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

Base — $160k – $180k | OTE — ~$230k – $255k | Equity — 0.3% | 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 Founding Customer Success Manager to own the relationship with our enterprise customers after they sign. You'll be accountable for adoption, retention, and growth — making sure customers get real value from our models, stay for the long run, and expand their usage over time. You'll be the face of Datalab for every account you own: their trusted advisor, their first call when something matters, and the person keeping their goals moving forward. You will be the commercial and relationship manager who owns the account strategy after a deal has been signed. You'll orchestrate the right people internally so the customer always feels progress. You'll know the product and the customer's architecture well enough to lead most conversations yourself, and you'll pull in Engineering when an account needs it. We also have a long tail of self-serve customers using our API. Many are strong candidates to expand into enterprise contracts, and you'll own that self-serve → enterprise motion end to end — from spotting high-potential accounts to closing the upgraded contract. This role is ideal for someone who thrives at the intersection of c

About the Team OpenAI’s People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI). The People Operations team is responsible for the systems, data, and operational rigor that underpin every stage of the employee lifecycle. Our work sits at the intersection of employee experience, regulatory compliance, and business velocity — ensuring that as OpenAI scales rapidly and globally, our foundations remain accurate, auditable, and human-centered. This is a high-trust, high-impact function. We partner closely with Finance, Legal, IT, Security, and the broader People team to support growth in a dynamic environment with significant internal and external scrutiny. Operational excellence here is not about process for process’s sake — it is about building durable infrastructure that enables fairness, transparency, and responsible scale. About the Role As Director of People Operations, you will own the core operational infrastructure that enables OpenAI to scale responsibly. This role serves as the operational backbone of the People function, with accountability for data integrity, operational controls, and audit readiness across the systems that support a complex, global workforce, including the operational foundations of recruiting and hiring at scale. You will lead a team responsible for the end-to-end workforce lifecycle, from candidate and hiring operations through onboarding and offboarding, ensuring our people systems, processes, and data are accurate, resilient, and built to scale.In close partnership with Employment Legal and the People Compliance team, you will translate policy and regulatory requirements into scalable, well-controlled operational processes. This role operates with high visibility and close partnership with senior leaders across Finance, Legal, IT, and People, including ownership of SOX-relevant controls and workforce data relied upon by e

About Runway Runway is a collaborative business planning platform designed to make business intuitively understandable for everyone. Our Mission : To make business accessible and understandable to everyone. We believe that teams that understand the “why” behind their work are more productive and make better decisions. True alignment and collaboration come from having a shared source of truth that everyone understands. Our Approach : Runway replaces traditional spreadsheets with a modern planning platform that brings clarity and context to business operations for all teams — not just finance. Just as Figma made design accessible across the organization, Runway does the same for business planning. Why It Matters: Understanding requires more than just access to numbers; real collaboration happens when teams see how their work fits into the bigger picture. By providing this context, Runway helps teams save time and move faster. Our Customers : World-class companies like AngelList, Superhuman, Stability.AI, ConvertKit, Lambda Labs, Lob, and SandboxVR rely on Runway to run their businesses more efficiently. Our Investors : We are supported by a select group of investors that we admire, including Garry Tan (YC & Initialized), a16z, Elad Gil, Naval Ravikant, Dylan Field (founder of Figma), Eric Ries, Claire Hughes Johnson (COO of Stripe), Henry Ward (founder of Carta), Akshay Kothari (COO of Notion), Eugene Wei, Lenny Rachitsky, Nikita Bier, Scott Belsky, Soleio Cuervo, Balaji Srinivasan, and many others. Working at Runway We're remote-first, so you can work from anywhere in North America. We strive to be clear in our communication and over-communicate by default. It’s early in our journey, so you'll have an opportunity to shape not just our product, but the company itself: how we work together, what makes us stand out, and who we hire. Below are the values we share as a team — if these resonate with you, you may enjoy working here. (And if you don't like them, please t

About Runway Runway is a collaborative business planning platform designed to make business intuitively understandable for everyone. Our Mission : To make business accessible and understandable to everyone. We believe that teams that understand the “why” behind their work are more productive and make better decisions. True alignment and collaboration come from having a shared source of truth that everyone understands. Our Approach : Runway replaces traditional spreadsheets with a modern planning platform that brings clarity and context to business operations for all teams — not just finance. Just as Figma made design accessible across the organization, Runway does the same for business planning. Why It Matters: Understanding requires more than just access to numbers; real collaboration happens when teams see how their work fits into the bigger picture. By providing this context, Runway helps teams save time and move faster. Our Customers : World-class companies like AngelList, Superhuman, Stability.AI, ConvertKit, Lambda Labs, Lob, and SandboxVR rely on Runway to run their businesses more efficiently. Our Investors : We are supported by a select group of investors that we admire, including Garry Tan (YC & Initialized), a16z, Elad Gil, Naval Ravikant, Dylan Field (founder of Figma), Eric Ries, Claire Hughes Johnson (COO of Stripe), Henry Ward (founder of Carta), Akshay Kothari (COO of Notion), Eugene Wei, Lenny Rachitsky, Nikita Bier, Scott Belsky, Soleio Cuervo, Balaji Srinivasan, and many others. Working at Runway We're early, so you'll have an opportunity to shape not just our product, but the company itself: who we work with, and how we work together. We strive to be clear in our communication and over-communicate by default. We're remote-first, so you can work from anywhere in North America. However, we also believe in the value of face-time to solve really hard problems, so we: Meet together as a company every quarter in our San Francisco office. Open up of

About Runway Runway is a collaborative business planning platform designed to make business intuitively understandable for everyone. Our Mission : To make business accessible and understandable to everyone. We believe that teams that understand the “why” behind their work are more productive and make better decisions. True alignment and collaboration come from having a shared source of truth that everyone understands. Our Approach : Runway replaces traditional spreadsheets with a modern planning platform that brings clarity and context to business operations for all teams — not just finance. Just as Figma made design accessible across the organization, Runway does the same for business planning. Why It Matters: Understanding requires more than just access to numbers; real collaboration happens when teams see how their work fits into the bigger picture. By providing this context, Runway helps teams save time and move faster. Our Customers : World-class companies like AngelList, Superhuman, Stability.AI, ConvertKit, Lambda Labs, Lob, and SandboxVR rely on Runway to run their businesses more efficiently. Our Investors : We are supported by a select group of investors that we admire, including Garry Tan (YC & Initialized), a16z, Elad Gil, Naval Ravikant, Dylan Field (founder of Figma), Eric Ries, Claire Hughes Johnson (COO of Stripe), Henry Ward (founder of Carta), Akshay Kothari (COO of Notion), Eugene Wei, Lenny Rachitsky, Nikita Bier, Scott Belsky, Soleio Cuervo, Balaji Srinivasan, and many others. Working at Runway We're early, so you'll have an opportunity to shape not just our product, but the company itself: who we work with, and how we work together. We strive to be clear in our communication and over-communicate by default. We're remote-first, so you can work from anywhere in North America. However, we also believe in the value of face-time to solve really hard problems, so we: Meet together as a company every quarter in our San Francisco office. Open up of

As the Salesforce Administrator at Coder, you’ll help keep our Salesforce environment reliable, efficient, and ready to support the business. You will help keep our Salesforce environment running cleanly and efficiently, and you'll work closely with Finance and our Sales Ops Salesforce Admin. The work spans day-to-day administration, Flow builds, and DealHub CPQ support — with occasional AI-assisted development tasks mixed in. You'll be working alongside someone who knows the environment well, so the expectation is that you can plug in quickly and operate with minimal hand-holding. What you’ll do here Own day-to-day Salesforce administration including user management, configuration, and data integrity Design, implement, and troubleshoot Automations using Salesforce Flow Configure and support DealHub CPQ including pricing rules, quote templates, and related requests Build and maintain reports and dashboards, with a focus on pipeline and revenue visibility for Finance Partner cross functionally on projects, sandbox management, and incoming support work Assist with Apex AI-assisted development tasks as needed Support data quality efforts including deduplication and cleanup as needed Manage end to end implementation of Salesforce including Okta provisioning, sales tools, and CPQ Own data governance across Salesforce by enforcing data quality standards, managing field-level security and access, and building validation rules that catch bad data at entry. You'll audit integrity regularly and partner with RevOps and Engineering to keep CRM data trustworthy Lead technical delivery of system improvements: scoping, building, testing, and deploying changes end-to-end Manage Salesforce releases, sandbox environments, and deployment processes Develop and maintain Salesforce customizations using Apex, Visualforce, and Lightning Web Components Own integrations between Salesforce and connected systems including architecture, build, testing, and maintenance Perform unit testing, trou

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the team The Billing team sits at the intersection of product, finance, and infrastructure. They're responsible for ensuring every observable event—errors, logs, traces, tokens—gets accurately measured, priced, and billed. Their work directly impacts company revenue and customer trust, requiring distributed systems expertise, attention to financial accuracy, and deep understanding of product usage patterns. The team works cross-functionally with product, engineering, BizOps, marketing, and sales to build systems that enable new products and pricing models. About the role As a Senior Software Engineer, you will architect and scale the core systems that power Sentry's billing infrastructure, ensuring accuracy and reliability at massive scale. You will collaborate on building the next generation of Sentry’s usage tracking pipeline, processing hundreds of billions of events daily with low latency and financial-grade accuracy. You will help design flexible pricing primitives that support everything from per-event usage billing to complex enterprise contracts, enabling product and sales teams to experiment rapidly while maintaining revenue accuracy and reduced time-to-market for new products. You will contribute to technical decisions on data consistency challenges unique to billing—like handling event delays, retroactive pricing changes, and distributed count reconciliation across our infrastructure. You'll love this job if you Want to solve the "easy to explain, hard to build" problems—like ensuring a customer's bill matches their usage perfectly, even when processing hundreds of billions of events daily across distributed

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the team The Billing team sits at the intersection of product, finance, and infrastructure. They're responsible for ensuring every observable event—errors, logs, traces, tokens—gets accurately measured, priced, and billed. Their work directly impacts company revenue and customer trust, requiring distributed systems expertise, attention to financial accuracy, and deep understanding of product usage patterns. The team works cross-functionally with product, engineering, BizOps, marketing, and sales to build systems that enable new products and pricing models. As an Engineering Manager, you’ll lead a team of engineers owning critical workflows such as checkout and invoicing, while also developing new features to help customers manage their spend growth. In this role, you’ll partner across the organization to ensure our customers redeem everything Sentry has to offer and budget for future expansion. In this role you will Strategic Planning & Roadmap: Define and drive the team's roadmap. Align team goals with organizational objectives and contribute to the overall platform strategy. Technical Guidance & Operational Excellence: Provide technical leadership and guidance on complex distributed systems and design. Ensure the team is proactively identifying areas for improvement. Cross-functional Collaboration: Partner closely with business and technical teams to translate business goals into actionable objectives and scalable solutions. Team Leadership & Development: Lead, mentor, and grow a team of talented engineers, including Staff-level engineers. Build a culture of technical excellence, collaboration, continuous

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a GTM & G+A Sourcer , you won't just be filling seats; you will be the primary architect of the talent pipeline that builds the future of our business, operations, and growth teams. We are seeking a Fixed Term Full Time employee for a 6 - 12 month term . The Mission At Replit, we don’t look for average talent; we look for "10x" builders and creators. Your mission is to find the needles in the haystack—high-impact professionals across Go-to-Market (Sales, Marketing, Growth) and G+A (Finance, People, Ops) who are product-minded and excited by the challenge of democratizing coding. Key Responsibilities Strategic Pipeline Building: Identify and engage top-tier talent for GTM functions and G+A roles. Creative Outreach: Utilize AI tools to streamline workflows while crafting highly personalized, compelling outreach that resonates with the Replit ethos. Deep Research: Map out talent across LinkedIn, X (Twitter), competitive startups, and niche professional communities to uncover "undiscovered" talent. Full Lifecycle Partnership: Collaborate closely with Recruiters and Business Leads to calibrate profiles and refine search strategies in real-time. Data-Driven Iteration: Track conversion rates and leverage data to pivot sourcing strategies as needed. Who You Are Experience: 3+ years of sourcing experience with a focus on GTM or G+A roles, ideally within a high-growth startup environment. Business Acumen: You understand the AI/SaaS landscape and know what excellence looks like in non-technical candidates within our specific culture. Persistence: You possess a "hunter" mentality and enjoy the challenge of identifying talent for highly specific, specialized roles. High Agency: You are self-directed, comfortable operating wi

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is the fastest way to turn ideas into software. With Replit Agent, anyone can build and ship a real application in natural language, without setting up a single tool. We've grown explosively, from $2M to $400M+ revenue in under a year, with a global community of 60+ million users, and Replit Agent is now one of the fastest-growing products in history. That same wave is now hitting the enterprise. Companies like Visa, Ernst & Young and Comcast are rolling Replit out to thousands of employees so finance teams, operations leads, and product managers can build without waiting on an engineering backlog. When a company puts Replit in the hands of thousands of employees, they're trusting us with their data and their workflows. That trust has to be earned: SSO and SCIM that just work, governance their security team will sign off on, and real control over where their apps run and how their data is handled. Getting this right is what turns a pilot into a company-wide standard, and it's one of the biggest levers on Replit's next phase of growth. About the Role We're hiring a Staff Product Manager to own Replit's enterprise product end to end. We've built one of the best coding agents in the world. The work now is making it just as powerful inside a big company, where putting it in front of every non-technical employee unlocks enormous leverage. That means extending what Agent can do in an enterprise context and building the platform that lets large organizations adopt it safely and at scale. This is a role with unusual leverage. We're still early in our enterprise journey but the traction is remarkable, which means most of the platform is still to be built and you'll have an outsized hand in shaping it. You'll decide w

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. The AI Studio is the team responsible for designing, building, and operationalizing internal software platforms across every functional department of the company, including People Operations, Customer Support, Sales, Marketing, Finance, Recruiting, and Executive Operations. We treat each internal department as its own product surface, and in truth as its own startup, with its own customers, its own metrics, and its own reasons for existing. We ship custom software, built on Replit’s own platform, to solve operational problems that off-the-shelf SaaS tools cannot serve well at our scale and pace of growth. Position Summary The Member of Technical Staff (AI Builder) is a full-time builder role with substantial autonomy. You will design, architect, and ship AI-powered internal platforms that run the operations of the company across many departments at once. This is not a role for someone who wants a narrow, well-defined lane. It is a role for someone who wants to walk into an ambiguous business problem, understand it well enough to argue about it with the department lead, and then ship the software that fixes it. We are looking for people who genuinely understand the mechanics of a business: how revenue is actually made, why recruiting velocity matters, what makes support scale or break, how finance closes a month, and why each department is critical to whether the company wins or loses. You do not need to have run every function, but you need to respect why each one exists and be able to reason about it like an operator, not just an engineer. Because we treat each department as its own startup, we strongly favor people who have either run their own business or worked on a fast-scaling startup. You know what it feels like