Account Engineer Jobs

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 Observability Streams team at Elastic is building Elastic's unified data pipeline - the layer that connects where your data comes from to where it lands, with full control over how it's processed and routed along the way. Whether you're collecting metrics from cloud accounts, shipping logs from agents, or routing traces to different destinations, Streams is what ties it all together . The Streams Backend team is responsible for the backend services powering this pipeline, ensuring data is routed, processed, and delivered efficiently and reliably at scale. We also own Logstash, the open-source streaming ETL tool (and the “L” in the “ELK stack”) trusted by enterprises worldwide to move and transform data, and we are regular contributors to the OpenTelemetry Collector. As a Senior software engineer on the Streams Backend team ,you will help drive the design and development of new features across the Streams Backend service and Logstash, contribute to the OpenTelemetry Collector, and support our users and enterprise customers. Our team is distributed across the globe, and we communicate mostly through Slack, GitHub, email and Zoom. What You Will Be Doing Designing and implementing new features for Logstash and its plugins in Java and JRuby. Designing, building, and operating core backend services

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 Observability Streams team at Elastic is building Elastic's unified data pipeline - the layer that connects where your data comes from to where it lands, with full control over how it's processed and routed along the way. Whether you're collecting metrics from cloud accounts, shipping logs from agents, or routing traces to different destinations, Streams is what ties it all together . The Streams Backend team is responsible for the backend services powering this pipeline, ensuring data is routed, processed, and delivered efficiently and reliably at scale. We also own Logstash, the open-source streaming ETL tool (and the “L” in the “ELK stack”) trusted by enterprises worldwide to move and transform data, and we are regular contributors to the OpenTelemetry Collector. As a Senior software engineer on the Streams Backend team ,you will help drive the design and development of new features across the Streams Backend service and Logstash, contribute to the OpenTelemetry Collector, and support our users and enterprise customers. Our team is distributed across the globe, and we communicate mostly through Slack, GitHub, email and Zoom. What You Will Be Doing Designing and implementing new features for Logstash and its plugins in Java and JRuby. Designing, building, and operating core backend services

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 Observability Streams team at Elastic is building Elastic's unified data pipeline - the layer that connects where your data comes from to where it lands, with full control over how it's processed and routed along the way. Whether you're collecting metrics from cloud accounts, shipping logs from agents, or routing traces to different destinations, Streams is what ties it all together . The Streams Backend team is responsible for the backend services powering this pipeline, ensuring data is routed, processed, and delivered efficiently and reliably at scale. We also own Logstash, the open-source streaming ETL tool (and the “L” in the “ELK stack”) trusted by enterprises worldwide to move and transform data, and we are regular contributors to the OpenTelemetry Collector. As a Senior software engineer on the Streams Backend team ,you will help drive the design and development of new features across the Streams Backend service and Logstash, contribute to the OpenTelemetry Collector, and support our users and enterprise customers. Our team is distributed across the globe, and we communicate mostly through Slack, GitHub, email and Zoom. What You Will Be Doing Designing and implementing new features for Logstash and its plugins in Java and JRuby. Designing, building, and operating core backend services

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Principal Presales Engineer on Twilio’s New Business Communication team! About the job This position is needed to enable our customers to build the future of communications. The Twilio Principal Presales Engineer role is a critical part of the sales team, responsible for delivering the technical win for customer accounts. They lead the technical pre-sales relationship, propose technical architectures, demonstrate the product, anticipates concerns, and offers creative solutions. They build customer trust in Twilio solutions. Principal Presales Engineers should be comfortable engaging a CEO or sketching out an API flow on a whiteboard with customer software engineers. As a Principal Presales Engineer, you will be fully autonomous. You will be capable of driving the technical side of all but the most complex opportunities independently. Furthermore, you will provide leadership and deal support within the Solutions Engineer

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. Are you ready to join a dedicated team that is crafting the future of financial technology? At Ripple Labs Inc., we are on a mission to transform manual financial operations into flawless automated systems. As a Software Engineer on the Financial Core team, you'll play a crucial role in building the essential infrastructure that powers Ripple's global custodian network. THE WORK: We are the Financial Core team, the platform layer supporting Ripple's products. We manage vital infrastructure for money flow, including asset transfers across Ripple's global custodian network that covers fiat rails and crypto custody. Our responsibilities include settlement automation and liquidity management across many accounts and banking partners. The technology stack uses Java/Spring Boot on the backend, React/TypeScript for internal tools, and Postgres. These are deployed on Kubernetes with built-in observability and approval processes. We collaborate closely with Product Ops and Product to transform manual financial tasks into dependable, auditable, and automated systems. WHAT YOU’LL DO: Develop and deploy backend services and internal tools that automate settlement, funding, and liquidity management workflows Work directly with Product Ops and Product to understand manual processes and build software that replaces or accelerates them Contribute across the stack—REST API

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Software Engineer on the CDP Foundations team within the Developer group, you'll build the core platform capabilities that enable businesses to launch and scale crypto products. The CDP Foundations team's three pods, Portal and Platform Services, Custodial Foundations, and Fully Disclosed Onboarding and Eligibility, own the foundational experiences and primitives spanning the developer portal, shared customer services, custodial accounts and taxes, and KYC/KYB onboarding and eligibility APIs. You'll design and ship the backend services and APIs that make it easier for partners and their customers to securely access Coinbase's crypto infrastructure. What you'll do: Build, deploy, and maintain scalable, secure, and high-performing backend services in a microservices and distributed architecture Define internal and customer-facing APIs that serve as the building blocks for CDP, prioritizing clean design and a high-quality developer experience Lead end-to-end delivery of features from implementation through deployment and monitoring Strengthen operational excellence across the team by proactively addressing technical debt and driving improvements in reliability and observability Participate in code reviews and on-call rotation, lead incident response, and foster a team environment that welcomes constructive feedback to maintain high code quality standards Required S

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Engineering Manager, SDET — Okta Identity Governance (OIG) Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Okta Identity Governance Team Okta Identity Governance (OIG) is Okta's Identity Governance and Administration solution, responsible for some of the most critical and visible workflows in enterprise identity: how people request access, how approvers grant it, how entitlements are enforced, and how organizations prove to auditors that only the right people have the right access. OIG is the leading contributor to Okta's new product bookings, and it runs inside some of the largest enterprises in the world — the kind of accounts where a single tenant carries hundreds of thousands of identities across thousands of applications. Quality here is a compliance bar, not just a user experience one. When a governance product has a defect, a company can stay over-provisioned on access it believes it revoked, or hand an auditor evidence that isn't true. The Senior Engineering Manager, SDET Oppo

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 Overview Plaid's TechOps team is the technical foundation that is a major stakeholder in keeping the company running. We own the systems, tools, and infrastructure that every Plaid employee depends on from identity and endpoint management to help desk support, office infrastructure, and the internal tooling that powers day-to-day productivity. What sets us apart from a traditional IT team is how we approach the higher level goals we have to improve our systems and tooling over time. We treat corporate infrastructure like an engineering problem: configuration lives in code when possible, endpoint provisioning is automated, access assignment is self-service, and we're always looking for ways to make our systems more reliable and our support burden smaller. We've built real momentum in that direction, and we're investing in the people and tools to take it further. We're a small team with broad ownership and high standards. We work closely with Security, Engineering, and People teams to make sure Plaid's internal environment is secure, scalable, and ready for where the company is going whether that's a new office, a new compliance requirement, or a new way of working enabled by A

CONTRACTOR: Forward Deployed Engineer, Pendo Predict The team + the role Pendo Predict helps companies act on customer behavior before problems surface. We build custom predictive models — churn, upsell, expansion, and more — on top of product usage, CRM, and data warehouse data, and put those insights directly into the workflows of CS, Sales, and Product teams. By analyzing historical product usage alongside CRM and data warehouse outcomes, Predict forecasts which accounts are at risk, ready to expand, or likely to convert — surfacing intelligence where teams can actually act on it. As a Forward Deployed Engineer on the Predict team, you'll embed directly with customers and prospects to design, build, and ship predictive models inside their real-world data environments — and feed what you learn back into the product. This is a hands-on, hybrid role at the intersection of engineering, technical consulting, and customer-facing work. You'll own the technical side of the customer journey end-to-end: from pre-sales discovery and proof of value, through data modeling and integration, to enablement and adoption. SQL is a daily tool in this role. This is a contractor engagement based in Herzliya, Israel, working on United States EST hours. This role is based in Herzliya, Israel and works hybrid from Pendo's Herzliya office. What this looks like day-to-day Run technical discovery with customers to assess product analytics maturity, data availability, and business processes — and use that to set realistic implementation expectations and position Predict for their stage. Work hands-on with customers to design the data model and define the business metric the model will predict; map customer data sources (Pendo, Salesforce, Snowflake, and other warehouses) to Predict requirements and best practices. Build and present compelling predictions in the prospect's own domain — explain methodology, model accuracy, and activation to earn credibility with technical stakeholders in

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 Platform Security team (PlatSec) defends Plaid against attackers. We own laptop security, cloud security, AI security, detection and response, and red teaming. Right now we're in growth mode. AI has expanded Plaid's attack surface faster than most security teams can adapt, and we're building the guardrails, identity controls, and detection systems to keep pace without slowing the business down. If you like solving problems nobody's solved yet, this is that team. About the role You'll be Plaid's first line of defense on AI security. You'll review new AI technologies to find security risks before they ship, then design and implement the controls that close them. You'll build the guardrails, identity management, and detection systems that let Plaid use AI aggressively without getting burned. Responsibilities Review AI systems and integrations for security risk before and after deployment. Design and deploy guardrails, sandboxes, and other controls that contain what AI agents can do. Build or implement systems to track and manage AI identities, so we know what access every AI has been granted and can balance risk with agility. Detect and mitigate prompt injection across Plaid's AI

About Us 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 that’s 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 Offices in NYC and India. About the role: Collaborate & Influence. Drive technical direction and maintain high code quality through design reviews and code reviews. Partner with Engineering Managers to plan, scope, and deliver infrastructure projects on time. Contribute to the DevOps hiring process — including technical assessments and interview panels. Build strong, trust-based relationships across engineering, product, and security teams. Build & Automate: Design, build, and own Novo's cloud infrastructure on AWS using infrastructure-as-code (Terraform / Terragrunt). Automate everything — scaling, patch

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: As a Senior Applied Value Engineer you push the envelope in solving mission-critical problems for our customers. You will work with our most strategic customers, understand their strategy and key challenges, and build Celonis solutions using cutting-edge AI technologies from market leaders such as Microsoft and OpenAI. With Celonis’ market-leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to executives, and ensure successful implementation, adoption and value realization to increase Celonis' footprint at those customers. The Role: As Senior Applied Value Engineer, you are a strategic pioneer leading the charge in solving complex, business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases . You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: As Senior Applied Value Engineer, you are a strategic pioneer leading the charge in solving complex, business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases . You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization. The work you’ll do: Discovery & Advanced AI Solutioning: Act as the foremost Celonis product and domain positioning expert. Seamlessly translate deep domain expertise and complex customer requirements into flawless enterprise architecture. You will lead technical discovery to architect, prototype, and build bespoke, state-of-the-art AI solutions targeting nuanced operational pain points. AI Solution Development: Lead the end-to-end execution of high-stakes Proof-of-Value (PoV) projects. Architect and deliver highly secure, scalable LLM/agent systems with advanced RAG, tools, and strict guardrails; integrating flawlessly with rigid enterprise data, identity, and compliance f

Engineering Manager, Machine Learning Credit Risk 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 Credit Risk team develops intelligent systems that help Stripe identify high-risk accounts, minimize credit losses, and improve profitability. Credit risk is a complex machine learning problem that requires us to distinguish emerging risk from healthy business activity while giving legitimate users a clear and reliable experience. Our team consists of machine learning engineers who build models and systems used across Stripe’s credit-risk products. We work closely with partners in Product, Data Science, Credit Strategy, Operations, and other engineering teams. Together, we help stakeholders make informed decisions and support sustainable growth wherever credit risk affects Stripe’s products. What you’ll do We’re looking for an engineering manager to lead the Credit Risk team and shape how Stripe uses machine learning to manage credit risk at scale. You’ll set the team’s technical and product direction, connect advances in machine learning to measurable business outcomes, and help engineers deliver reliable systems that balance loss prevention with the user experience. You’ll work across engineering, product, data science, and risk to identify the highest-impact opportunities and turn them into a focused roadmap. You’ll also hire and develop engineers, strengthen the team’s technical practices, and contribute to machine learning and engineering leadership across Stripe. Responsibilities Se

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Are you a digital transformation leader ready to architect the AI-driven future of the Banking sector? This is not a standard process optimization role. We are looking for a Lead Value Engineer to own customer success and drive high-stakes SaaS and AI adoption across top-tier global financial institutions and regional banking enterprise accounts. You will serve as the strategic bridge—translating complex financial and operational needs into technical strategy. As a trusted advisor to C-suite executives (CRO, CIO, CFO, Head of Retail/Wholesale Banking), you will blend deep banking DNA with elite management consulting and an AI-first mindset to realize maximum customer value. The Impact You Will Drive Value Architecture: Translate executive banking priorities into high-impact AI use cases (e.g., intelligent credit underwriting, automated fraud mitigation, hyper-personalized wealth advisory) and Value Realization Frameworks. Solution Blueprints: Architect scalable, end-to-end data flows to resolve complex operational bottlenecks across legacy core banking platforms, payment rails, and loan origination pipelines. Financial Quantification: Build data-backed business cases driving $10M+ in OPEX savings, risk reduction, or net-new re