Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. About This Role We're hiring the first Bookkeepers on our Financial Management team — a founding, hands-on role at the intersection of real client bookkeeping and 0-to-1 product building. You won't be joining an established practice with a mature playbook; you'll be writing it. You'll do the actual books for our earliest restaurant customers while working shoulder-to-shoulder with product and engineering to shape the service, tooling, and workflows that will define how Toast delivers bookkeeping at scale. This role is for someone who genuinely likes restaurant bookkeeping — the prime cost, the tip reporting, the multi-location chaos — and who also gets energy from questioning industry norms and building something new rather than maintaining something established. Ambiguity here isn't a bug; for the first year or two, it's the job. If you're the kind of person who reads a messy set of restaurant books and sees an interesting puzzle — and who'd rather build the recipe than follow one — we'd love to hear from you. A day in the life (Responsibilities) Own end-to-end bookkeeping for a portfolio of pilot restaurant customers: chart of accounts setup, monthly close, bank/POS reconciliations, accruals, and delivery of clean financial statements. Serve as Toast's in-house expert on restaurant-specific accounting — prime cost, COGS, labor and tip reporting, multi-unit consolidation, high-volume daily transaction reconciliation, and multi-jurisdiction sales tax. Embed directly with product and engineering, translating real client workflows and pain points into product requirements that shape our roadmap — you'll be in the room when we decide what to build next, not just told what shipped. Design and document the SOPs, controls, and QA processes a bookkeeping function needs to run r
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Business Development Representative (BDR) at Cohere, you will drive revenue growth by identifying, qualifying, and nurturing high-potential leads for our enterprise AI solutions. You’ll act as the first point of contact for prospects, understanding their business needs and aligning them with Cohere’s products to solve complex challenges like natural language processing, AI integration, and scalable language models. You’ll also have the opportunity to sell cutting-edge IP, that is being newly productised, within your own book of business. Key Responsibilities: Proactively research and identify target accounts across region in industries such as finance, technology, manufacturing, healthcare, public sector, etc. using tools like LinkedIn Sales Navigator and CRM platforms to prioritise high-fit prospects. Conduct 40+ outbound calls and personalised emails daily to engage decision-makers (e.g., CTOs, CIOs, and Business Unit leads), focusing on understanding their pain points and demonstrating how Cohere’s AI solutions can address them. Qualify leads using the BANT framework (Budget, Authority, Need, Timeline) and
SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. About the Role: The Growth Marketing Manager will lead full-funnel demand generation efforts for our Direct GTM motion . In this role, you’ll drive pipeline growth across a high-velocity segment of core accounts by developing and executing integrated marketing campaigns that span all product lines. As a key member of the Growth Marketing team, you’ll own program strategy and execution for full-funnel programs including webinars, field events, content syndication, survey-based campaigns, and podcasts — all aimed at
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. Team Description We're Plaid's Revenue Accounting team, and we own the order-to-cash process that ensures every Plaid customer is billed accurately and that revenue and accounts receivable are reflected correctly across our financial systems. We work at the intersection of commercial deal execution, billing, accounting, and financial reporting. We partner closely with Commercial, RevOps, Legal, Billing Engineering, Business Technology, Strategic Finance, and the broader Accounting org to turn customer agreements into accurate, scalable billing. It's no small feat at Plaid's scale and deal complexity. Our mission is to protect revenue integrity, build customer trust, and build the systems, processes, and controls that let Plaid scale toward its next stage as a company. Role Summary You'll own the operating layer of Plaid's order-to-cash process, turning signed customer agreements into accurate billing configurations, invoices, reconciliations, and financial records. You'll review order forms and commercial terms and translate them into billing, run monthly invoice cycles, process billing adjustments and credit memos, reconcile activity across systems like NetSuite and Salesforce, r
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Director, Investments & Liquidity to join our Treasury team. This is a foundational role on a quickly growing Treasury team. As we experience exponential growth, you will be instrumental in ensuring optimal capital allocation, protecting our financial assets, and establishing the policies and infrastructure needed to support our expanding global operations. The work spans strategy and execution: owning the capital planning framework and investment policy, standing up in-house trading infrastructure, and overseeing external managers. Reporting to the Head of Investments & Markets, you will partner closely with teams across Finance, Legal, and Accounting to achieve these objectives. You will build AI-native investment workflows: apply AI tools to portfolio analytics, manager and counterparty monitoring, IPS compliance, interest income forecasting, and executive reporting, partnering with Finance, Engineering, Data, and FinSys, with controls, documentation, and auditability built in. Key responsibilities Own and optimize Anthropic's external investment program, including money market funds, bank deposits,and separately managed accounts Monitor external manager performance and maintain a manager bench with clear performance reporting Design and build an in-house investment program, including direct fixed income trading capability, trade infrastructure, and custodian connectivity Develop and operationalize a capital planning framework across operating and strategic liquidity tiers Design and maintain the investment policy statement, Treasury policies, and SOX-ready investment controls Build CFO
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. Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Data Scientist supporting Credit, a critical product area within Plaid’s Network Value portfolio. You’ll become a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid’s consumer network. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, 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. Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Data Scientist supporting Credit, a critical product area within Plaid’s Network Value portfolio. You’ll become a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid’s consumer network. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, a
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals. Key responsibilities Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions Handle civil third-party subpoenas and preservation demands Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling Run and improve the law enforcement response process and tooling Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations Coordinate with outside counse
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the Role We’re looking for a Marketing Scientist to join OpenAI’s Ads Marketing Science function. Reporting to Marketing Science leadership, you’ll be a senior individual contributor who combines rigorous measurement expertise with strong client judgment and hands-on execution. Your mission is to help OpenAI Ads prove and improve advertisers’ media performance. You’ll work with sales, partners, and clients supporting all forms of measurement including verification, attribution, incrementality, brand, marketing mix modeling (MMM), and scalable advertiser reporting, connecting sound methodology to decisions advertisers can act on. You will partner closely with Sales on key advertising accounts and with Product, Engineering, Data Science, Partnerships, Legal, and Privacy. Initial priorities include advancing incrementality measurement, helping onboard measurement partners to privacy-forward measurement workflows and integrations, and creating reusable programs, tools, agents, skills, and workflows that let sales and clients access high-quality Marketing Science support at scale. This role is based in either San Francisco or New York, and follows a hybrid schedule (Monday-Wednesday). In th
Who we’re looking for and why now? A great writer who gets technical stuff – and loves figuring out how to explain it to other people. We have a strong writing culture, and writing as marketing has worked ridiculously well for us. We have a newsletter with over 100k subscribers, active social accounts, and real SEO and AEO authority. Hundreds of thousands of people visit our website every day. If you join, you won't spend a year building an audience before anyone reads you. We can and like to be opinionated about what we think best practice is and thousands of developers look to us to provide them opinion. The problem is we're at capacity, and there's a long list of content we're neglecting because of it. We used to do more tutorials. Use case guides people keep asking us for. Overall, we have a lot to write about. PostHog has grown from product analytics into a broad platform for engineers, and we're building everything from AI agents and error tracking to data infrastructure at huge scale. We're also open by default, so we're unusually happy to share what we've learned along the way. We want someone who can turn all of that into genuinely useful technical content. Simply put, you're a writer . You care about the craft, have opinions about what makes technical content actually great, and have a portfolio that proves it. What you’ll be doing You'll research and explain use cases, technical concepts, and how things actually work. One day that might mean digging into how our engineers rebuilt part of our data warehouse. Another could be explaining the difference between logs and traces, writing a tutorial for a PostHog use case, or figuring out the best way to explain what a context warehouse is. You'll need to be comfortable getting into technical details, but you don't need to be an engineer. The important bit is that you're curious enough to understand technical concepts properly and a good enough writer to explain them simply. Day to day, it looks like: Writing co
Who we’re looking for and why now? A great writer who gets technical stuff – and loves figuring out how to explain it to other people. We have a strong writing culture, and writing as marketing has worked ridiculously well for us. We have a newsletter with over 100k subscribers, active social accounts, and real SEO and AEO authority. Hundreds of thousands of people visit our website every day. If you join, you won't spend a year building an audience before anyone reads you. We can and like to be opinionated about what we think best practice is and thousands of developers look to us to provide them opinion. The problem is we're at capacity, and there's a long list of content we're neglecting because of it. We used to do more tutorials. Use case guides people keep asking us for. Overall, we have a lot to write about. PostHog has grown from product analytics into a broad platform for engineers, and we're building everything from AI agents and error tracking to data infrastructure at huge scale. We're also open by default, so we're unusually happy to share what we've learned along the way. We want someone who can turn all of that into genuinely useful technical content. Simply put, you're a writer . You care about the craft, have opinions about what makes technical content actually great, and have a portfolio that proves it. What you’ll be doing You'll research and explain use cases, technical concepts, and how things actually work. One day that might mean digging into how our engineers rebuilt part of our data warehouse. Another could be explaining the difference between logs and traces, writing a tutorial for a PostHog use case, or figuring out the best way to explain what a context warehouse is. You'll need to be comfortable getting into technical details, but you don't need to be an engineer. The important bit is that you're curious enough to understand technical concepts properly and a good enough writer to explain them simply. Day to day, it looks like: Writing co
OVERVIEW As a Service Manager at eClinical Solutions, you will be the operational backbone of client engagements ensuring every aspect of the elluminate® platform service runs smoothly, reliably, and to the highest standard. Based in our Bangalore office, you will own day-to-day service operations for an assigned portfolio of global clients, coordinating people, processes, and systems across time zones to keep delivery on track and clients confident in eClinical’s partnership. Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. KEY TASKS & RESPONSIBILITIES Act as the primary operational point of contact for assigned clients, ensuring all service activities are running smoothly and issues are addressed promptly Monitor ongoing delivery of elluminate® platform services across assigned accounts, proactively identifying and resolving operational gaps before they affect the client Coordinate day-to-day activities across internal teams — including Engineering ( Tier 3 R&D), Tech Services (Tier 2), IT (Infrastructure), Product Development, Implementation Team, Customer Success and Product Support — to ensure seamless, timely service execution Track open action items, outstanding deliverables, and client requests across all active engagements; follow through until each item is fully resolved Serve as the escalation point for operational issues, triaging problems quickly and mobilizing the right internal resources for resolution Collaborate effectively with globally distributed teams across US, India, and other regions, accommodating cross-time-zone coordination as needed Participate in the transition of accounts from the Implementation team to steady-state service delivery, ensuring continuity of knowledge, documentation, and client experience throughout the handover process Ensure all service activities adhere to agreed-upon SLAs, quality standards, and regulatory requirements including ICH/
About the role Rubrik's Customer Success and Renewals organization is the operational backbone that keeps our retention and growth motions running as a measurable, automated, insight-driven system. We're looking for a senior Customer Success Operations professional to be the operational engine behind these motions — building the automation that removes manual toil, turning scattered data into trusted analytics, and acting as the connective tissue between Customer Success, Renewals, RevOps, Product, and Engineering. What You'll Do Design and build automation across the customer lifecycle — onboarding, adoption tracking, renewal triggers, risk alerts, health-score refreshes — replacing manual workflows with scalable, self-refreshing processes. Partner with Product and Engineering to instrument customer and telemetry signals into the reporting layer, and coordinate on closing technical/product gaps surfaced by CS and Renewals data. Build and own CS/Renewals dashboards and executive data packs covering GRR/NRR, renewal trends, churn/downsell drivers, at-risk accounts, health distribution, adoption, and time-to-value. Design and govern product metrics across product/eng and post sales teams; own data integrity across Salesforce, the CS platform, Snowflake, and Tableau. Apply AI/LLM tools to automate reporting, build workflows and frameworks from scratch, accelerate analysis, and reduce manual operational work — and help set the standard for how the post-sales org uses AI to scale. Act as the operational bridge across RevOps, Sales Ops, Finance, Support Ops, Enablement, and Data/BI — leading cross-functional programs and driving alignment on data, definitions, and scaling initiatives. Deliver ad hoc and recurring analysis that turns raw data into decision-ready insight for CS and Renewals leadership. Experience you’ll need Minimum of 6 years in Customer Success Oper
About Us Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at http://saucelabs.com . Release Assurance at the Speed of AI | Meet the new Sauce Labs The Role As an Inside Sales Representative, you will own and grow a portfolio of commercial and growth-stage accounts, driving new logo acquisition, expansion opportunities, retention, and long-term customer growth. This is a full-cycle sales role focused on developing strategic relationships, uncovering new buying opportunities, and helping companies modernize their testing and quality engineering strategies with Sauce Labs solutions. Success in this role requires proactive outbound prospecting, strong commercial instincts, curiosity around modern software development and AI, and the ability to manage opportunities from discovery through close. Responsibilities Own and grow a portfolio of commercial and growth-stage accounts across existing customers and net-new opportunities Drive full sales cycles from discovery through close, including qualification, stakeholder alignment, commercial discussions, forecasting, and negotiation Proactively prospect into existing and net-new accounts to generate pipeline and identify expansion opportunities across Engineering, QA, DevOps, and Product leadership teams Identify opportunities for upselling and cross-selling additional Sauce Labs products and solutions Build strong relationships with customers and act as a trusted advisor throughout the customer journey Partner cross-functionally with Sales Engineeri
About the Role MongoDB is seeking a strategic and execution-oriented Senior Product Manager to own the strategy, roadmap, and delivery of Revenue and Order to Cash (OTC) capabilities that enable accurate, scalable, and efficient revenue operations. This role will work closely with the Group Product Manager, Quote to Cash (QTC), owning the OTC and revenue processes within the broader QTC organization, while partnering across Finance, Revenue Operations, Sales, Enterprise Architecture, Engineering, and Program Management to improve the end-to-end order-to-cash lifecycle — order management through billing, collections, revenue recognition, and close — and help the business scale with reliable, increasingly automated revenue systems. You will own product discovery, prioritization, requirements, delivery partnership, and launch readiness across the OTC and revenue lifecycle — including order management, subscription and contract operations, billing, accounts receivable, collections, renewals, revenue recognition, month-end and quarter-end close, and ERP integrations. The central focus of this role is revenue accuracy and timeliness: reducing manual adjustments, strengthening SOX and audit controls, accelerating time to invoice and cash, and building a foundation for continuous process improvement across the revenue lifecycle. What You'll Do Define and maintain the Revenue/OTC product vision, strategy, roadmap, and release priorities in alignment with company objectives, with revenue accuracy and close efficiency as the north star Partner closely with the Group Product Manager, QTC to align the OTC and revenue roadmap with the broader Quote to Cash strategy, while owning the order-to-cash and revenue processes as your dedicated area of focus Build deep expertise in NetSuite and the surrounding revenue systems landscape, including billing, accounts receivable, revenue recognition, month-end and quarter-end close, order management, contract and subscription data, ERP
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