Accounts Executive Jobs

As a Customer Success Associate, you will focus on the long term strategic relationship with our customers, drive adoption, and identify growth opportunities across a high volume of Datadog customers to ensure successful product use and retention. You’ll be an advocate for the customer internally and focus on providing a positive experience for a high volume of accounts. Associates follow a well-defined methodology to identify the customer’s unique needs and clearly convey the value of the Datadog product. As we scale our Customer Success team, furthering personal development and team success is a top priority. 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: Identify target opportunities, manage the full sales cycle and proactively build strategic relationships with customers and focus on retention. Manage requests from your book of business such as but not limited to technical support escalations, billing questions, documentation/enablement requests to ensure a positive customer experience Pivot account management strategy based on different customer requirements and needs seamlessly and efficiently Act as an advisor to customers to ensure they’re leveraging the solution effectively Monitor and identify usage trends to uncover renewal risks and support greater adoption rates Collaborate cross-functionally with internal Datadog teams (support, product, finance, and legal) Who You Are: Customer-minded, always trying to provide the most value possible Driven and motivated by a career in sales with a strong desire to grow a career in Customer Success. A strong communicator (written and verbal) with excellent attention to detail Experienced in independently negotiating contract terms and overcoming pricing objections for up-sell/cross sell activit

As a Customer Success Associate, you will focus on the long term strategic relationship with our customers, drive adoption, and identify growth opportunities across a high volume of Datadog customers to ensure successful product use and retention. You’ll be an advocate for the customer internally and focus on providing a positive experience for a high volume of accounts. Associates follow a well-defined methodology to identify the customer’s unique needs and clearly convey the value of the Datadog product. As we scale our Customer Success team, furthering personal development and team success is a top priority. 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: Identify target opportunities, manage the full sales cycle and proactively build strategic relationships with customers and focus on retention. Manage requests from your book of business such as but not limited to technical support escalations, billing questions, documentation/enablement requests to ensure a positive customer experience Pivot account management strategy based on different customer requirements and needs seamlessly and efficiently Act as an advisor to customers to ensure they’re leveraging the solution effectively Monitor and identify usage trends to uncover renewal risks and support greater adoption rates Collaborate cross-functionally with internal Datadog teams (support, product, finance, and legal) Who You Are: Customer-minded, always trying to provide the most value possible Driven and motivated by a career in sales with a strong desire to grow a career in Customer Success. A strong communicator (written and verbal) with excellent attention to detail Experienced in independently negotiating contract terms and overcoming pricing objections for up-sell/cross sell activit

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. 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 Fraud Data team at Plaid builds the machine learning systems that power Plaid’s fraud detection products, leveraging insights from across Plaid’s network to help identify and stop fraud before it happens. Our team works across the full data science and machine learning lifecycle—from discovering new signals and experimenting with models to deploying and optimizing them in production. We continuously learn from real-world model performance and customer feedback to improve our systems and develop new ways to protect customers and consumers from evolving fraud threats. As a Senior Machine Learning Engineer on Plaid's Fraud Data team, you will develop models that improve fraud detection for our customers. You will identify predictive patterns in Plaid's network data and lead projects from initial experiments through model deployment and ongoing improvement. Investigate fraud patterns and model errors to identify new signals, improve detection, and expand coverage across customers and use cases. Develop training datasets and predictive features, addressing challenges such as incomplete labels, class imbalance, data leakage, and changing fraud behavior. Design, train, and tune model

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. Fraud Data is the data science and machine learning team within Plaid’s Fraud organization, responsible for using data and ML to improve and scale Plaid’s fraud products. Within Fraud Data, the Customer & Product Intelligence team focuses on understanding product performance, uncovering customer insights, and enabling go-to-market teams with data-driven solutions. The team partners closely with customers and GTM teams on fraud analyses and proofs of concept, turning customer learnings into scalable, reusable product capabilities. We also build the metrics, analytics, and data foundations that measure product health, identify opportunities for improvement, and guide product decisions across Plaid’s Fraud portfolio. As a Data Science Manager, you will lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, develop its data scientists, and remain involved in analytical methods, technical reviews, and customer investigations. You will: Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team. Define product metrics, their underlying data, and reporting and

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 Compliance team is responsible for ensuring Compliance at Plaid with all the laws and regulations that apply to us, as well as our internal policies. We help make sure Plaid stays within the bounds of our legal obligations, and partner with business stakeholders to build processes and systems to demonstrate our compliance. Role Description As a GTM Compliance Analyst, you’ll help Plaid evaluate and onboard customers in a way that supports growth while protecting the company from regulatory and compliance risk. You’ll review prospective and existing customer deals, assess customer business models and use cases, conduct risk-based diligence, and determine when additional conditions, approvals, or escalations are needed. You’ll work closely with Sales, Account Management, Legal, Product, and Customer Oversight to translate complex requirements into practical guidance and keep deals moving. You’ll also help build the playbooks, workflows, and reporting needed to make GTM compliance more consistent and scalable as Plaid expands into new products, customer segments, and regulated use cases. Responsibilities Review prospective and existing customer deals for regulatory, licensing, po

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The primary responsibility of the Collection Analyst is to collect payments on outstanding Accounts Receivables. This individual should possess strong time-management and communication skills. What You Will Be Doing Collect on business-to-business accounts in an effort to reduce Accounts Receivable and minimize bad debt exposure. Contact customers, via email and phone, to secure outstanding balances.Perform account reconciliations, as needed, to resolve any account discrepancies. Resolve Unapplied and Unidentified Cash Payments to ensure proper posting to the customer account. Work with customers that have delinquent balances to negotiate payment plans.Process customer credit card payments. Address any credit card declines with the customer. Respond to customer inquiries within a 24 - 48-hour time period. Confer with management to determine if additional actions are required for delinquent accounts. What You Bring High level of enthusiasm and pride in your work, you have a strong ability to learn, and you see change and challenges as opportunities to make things better. You have experience in a fast-paced, high-growth, global environment and you are no stranger to building and optimizing the processes necessary to keep us growing without stumbling. 2+ years of professional experience in A/R & Collections Strong communic

As a Solutions Engineer at Speechmatics, you’ll play a key role in helping customers successfully evaluate and adopt our industry-leading speech technology. You’ll partner closely with Sales to guide customers through the entire technical journey, from discovery and solution design to proof-of-concept delivery and technical validation. This is a hands-on role: you’ll build demos, write code, deploy environments, and solve real customer problems. You’ll also take ownership of selected accounts, helping scale the team’s impact while gaining exposure to global customers across multiple industries. We’ll support you with structured onboarding and training so you can quickly become confident with our technology and customers. What You’ll Be Doing Partnering with Sales to lead the technical pre-sales process from discovery to close Understanding customer requirements (security, scale, integrations, accuracy, workflows) and designing practical solutions Building and delivering technical demos, prototypes, and Proofs of Concept (PoCs) Deploying and configuring environments in cloud or on-prem setups for customer evaluations Writing scripts or lightweight integrations (Python or JavaScript) to support demos and customer testing Troubleshooting customer challenges and guiding them toward successful outcomes Delivering engaging technical presentations to customers, partners, and events Supporting conferences and showcases globally, including international travel, to deliver compelling technical demonstrations Sharing knowledge internally and helping Sales stay up to date as our platform evolves Who We’re Looking For: Previous experience working in a customer-facing technical role (Sales Engineering, Solutions Engineering, Pre-Sales, Technical Consulting, or similar) Hands-on programming ability - ideally Python/JavaScript Comfortable working with APIs (REST an

Perplexity's API Platform brings our work in AI, search, and agent orchestration to developers. Our customers range from AI-native startups to some of the world's largest technology companies. Working with them, alongside our own developments in building Perplexity’s core application gives our team direct exposure to how search, models, and tools are used to build and scale AI-native products and applications. About this role We are looking for a technically fluent Customer Success Manager to help our API customers succeed and shape how we support them as the business grows. You will own a portfolio of customers, understand what they are building, and help them move from evaluation to production and broader adoption. Alongside your accounts, you will lead projects such as product and endpoint migrations, customer enablement, and communications for product updates and incidents. You will work directly with customers developing AI products and with the engineers building the APIs they depend on. As an early member of the team, you will help shape our customer success programs and bring what you learn from customers into product decisions. Responsibilities Own customer relationships across onboarding, adoption, retention, and expansion, building trust with developers, technical leaders, and business stakeholders. Understand each customer's use case, integration, and success criteria. Help them evaluate the APIs, resolve adoption barriers, and establish a path to production. Use account and product usage data to identify declining adoption, technical risks, and growth opportunities, then work with customers on specific next steps. Investigate technical questions using API documentation, sample requests, and usage data. Coordinate with Engineering and Support on deeper issues and keep customers informed through resolution. Lead customer-facing programs such as endpoint migrations, product rollouts, and enablement. Define milestones, coordinate internal owners, and track

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 At Embedded Insights, we find the best machine learning opportunities for external products and internal systems, and collaborate with cross-functional partners to bring them to life. We are a central team of Machine Learning Engineers and Data Scientists. We embed with partner teams to build and apply machine learning models that improve internal decision-making and power the Plaid product suite. About the Role You will be the first Data Scientist on the Embedded Insights team, part of Plaid’s Data organization. You will establish the analytics and metrics backbone for a team supporting a diverse set of internal and external products. You will help drive better decision-making, support machine learning model development, and contribute directly to the health of the Plaid network and the quality of Plaid’s products. Your day-to-day work will include: Analyzing entities across the Plaid network to understand behavior and identify opportunities, anomalies, and risks. Creating foundational metrics, dashboards, and monitoring systems that provide a clear view of network health and machine learning model performance. Evaluating the value and performance of machine learni

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

About the Job: As the Order Management Specialist, you will ensure that system inputs are complete and accurate, orders are processed in a timely manner, work with the Deal Desk and Internal Systems team to resolve issues, and ensure accounts are provisioned. You will have excellent attention to detail, solve problems, and ability to multi task. Responsibilities: Order & Opportunity Review Review opportunities in Salesforce to ensure completeness and accuracy prior to downstream processing into NetSuite, validating pricing, product/SKU alignment, contract terms, and required fields. Review Annual Recurring Revenue (ARR) on opportunities to confirm accuracy and alignment with contract terms and pricing before deals proceed through the order-to-cash cycle. Create and monitor indirect sales orders via AWS Marketplace. Work with AWS Support to resolve any offer issues or errors. Identify, troubleshoot, and resolve data discrepancies or missing information before orders progress through the order-to-cash cycle. Serve as a quality checkpoint between deal closure and financial system entry, minimizing rework and downstream billing errors. Provisioning & Deal Documentation Review and approve provisioning details to ensure customer setup aligns with the terms of the executed agreement. Partner with Sales, Customer Success, and Deal Management to confirm that all required documentation (order forms, amendments, approvals, contracts) is complete, accurate, and obtained prior to processing. Act as a point of escalation for missing or inconsistent deal documentation, coordinating resolution across stakeholders. Systems & CPQ Administration Work closely with the internal systems/IT team to ensure Salesforce CPQ configurations (pricing rules, product bundles, approval workflows) remain accurate and up to date. Support testing and validation of CPQ and Salesforce-to-NetSuite integration changes, flagging issues that could impact order accuracy or revenue processing. Con

About Novo Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution. At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking. Why Novo? Novo is a rapidly growing Series B fintech startup with a mission-driven team passionate about helping every small business in America Positive, inclusive, supportive culture cheering you on your journey We work with very new technologies and architecture patterns We provide learning and development budgets to help you grow and bond with your team Offices in NYC and India, with a growing distributed team across LatAm The Role We're looking for a Performance Marketing Manager to own paid acquisition across Google, Meta, and other programmatic channels. You'll be the person who knows exactly where every dollar of budget is going and why. You’ll be running the day-to-day of our paid programs, digging into the numbers, and constantly finding the next lever to pull for efficiency and growth. This is a hands-on, individual contributor role for someone who loves being in the platform

About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Purpose The Finance & Reporting Manager will support the CFO in building and managing Paytm Europe's core finance function, with responsibility for financial accounting, statutory and regulatory reporting, tax, treasury, and management information. This is a hands-on role requiring strong ownership and the ability to operate effectively in a lean, regulated, and fast-growing business. Key Responsibilities Accounting & Financial Reporting -Manage the end-to-end accounting cycle, including general ledger, accounts payable and receivable, fixed assets, accruals, provisions, and balance sheet reconciliations -Review accounting entries and reconciliations to ensure the accuracy, completeness, and integrity of the Company's financial records -Manage monthly, quarterly, and annual close processes, ensuring accurate and timely completion -Prepare and review financial statements under Lux GAAP and support Group reporting under IFRS, where applicable -Oversee the work of the external fiduciaire and other accounting service providers, including preparation of statutory accounts and supporting schedules Regulatory Reporting & Financial Controls -Coordinate Finance-owned regulatory and prudential reporting to the CSSF and other relevant authorities, including own-funds and applicable financial returns -Support the Finance aspects of safeguarding and related reporting and controls concerning client funds, working closely with the Payments Finance & Reconciliation Manager and relevant control functions -Develop, implement, and maintain financial policies, controls, and procedures appropriate to a regulated Payment Institution