Enterprise Sales Engineering Director Jobs

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood's Enterprise Security team is at the forefront of AI security, designing safety guardrails for cutting-edge AI and driving modern enterprise-wide security tooling standards. As a Senior Corporate Security Engineer on our Corporate Systems team, you will operate at the center of our enterprise security infrastructure, maintaining the control plane for user-facing security tooling and building innovative solutions that keep our employees and platform secure! In this role, you will combine security engineering, systems administration, and hands-on AI agent development to drive key automation and safety initiatives. Joining a lean, high-impact team, you will have high visibility and direct empowerment to take strategic initiative, solve complex technical challenges, and shape Robinhood's AI security posture. This role is based in our Menlo Park or Bellevue office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are looking for a Data Validation Specialist to join our team and support the data conversion for new Addepar clients. This role involves cross-referencing large sets of financial data between spreadsheets and systems, helping to ensure accuracy during onboarding. You’ll play a key part in identifying and tracking any inconsistencies, with clear documentation and attention to detail being the most important parts of the job. This is primarily a non-client-facing role that plays a key part behind the scenes, requiring focus, consistency, and comfort with repetitive work. It’s a great fit for someone who enjoys working with data in a structured way and takes pride in getting the details right. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Dive Deep into Data: Review and compare client data across spreadsheets and platforms to identify inconsistencies or gaps Document and Log: Thoroughly document and log all your findings in a clear, standardized format Collaborate: Work closely with Project Leads who will guide your research and analysis and act as the main point of contact for ou

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Lead, Data Validation Specialist to oversee a team of Data Validation Specialists responsible for ensuring the accuracy and integrity of financial data during new client onboarding. You’ll manage daily workflows, ensure consistent data quality across projects, and serve as the primary liaison between the Data Validations team and cross-functional partners. This is primarily a non-client-facing role that plays a key part behind the scenes, requiring focus, consistency, and comfort with repetitive work. It’s a great fit for someone who enjoys working with data in a structured way and takes pride in getting the details right. You’ll be instrumental in fostering a collaborative team culture, driving consistency in our data conversions, and contributing to the growth of both your team and our global function. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Lead and mentor a team of Data Validation Specialists, supporting career development, delivering regular feedback, and helping individuals thrive in their role Manage a team’s work allocation, prioritization, and

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Staff Frontier Agent Engineer (Applied AI) , you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases. You may build a multi-agent research system and then participate in designing a customer intelligence platform, a healthcare copilot, or an autonomous workflow for a Fortune 100 company. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in. What You'll Build Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, ent

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Senior Frontier Agent Engineer (Applied AI) , you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases. You may build a multi-agent research system and then participate in designing a customer intelligence platform, a healthcare copilot, or an autonomous workflow for a Fortune 100 company. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in. What You'll Build Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterpri

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Frontier Agent Engineer (Applied AI) , you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases. You may build a multi-agent research system and then participate in designing a customer intelligence platform, a healthcare copilot, or an autonomous workflow for a Fortune 100 company. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in. What You'll Build Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterprise data

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 . Join the EAA Compliance CXAE team within the Platform group as a Software Engineer building AI-first platforms that transform how CX Compliance agents work. This team owns the tools, services, and applications that streamline compliance and KYC processes, helping resolve customer issues faster with greater accuracy. You'll build full-stack applications using Golang and React that enable compliance agents to increase productivity, drive automation, and deliver impact at scale through custom development and third-party integrations. What you'll do: Build end-to-end user-facing features using Golang, React, and cloud technologies for CX compliance agent platforms Lead assessment, selection, and implementation of third-party tools and vendor integrations that extend platform capabilities Drive cross-functional outcomes on complex problems in collaboration with product, design, security, data, and peer engineering teams Own technical architecture decisions and implement scalable, high-traffic services across event-driven and distributed systems Mentor engineers on design techniques, coding standards, testing practices, and deployment processes Required Skills and Experience: 4+ years of production software engineering experience building large-scale systems with Golang, React, and cloud technologies (AWS, Kubernetes, Terraform) Demonstrated experience integrating third-pa

At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About our Enterprise Team: Our team owns the full deployment lifecycle of SGP in live customer environments — from initial rollout through long-term operational health. We work cross-functionally with customers, GTM, product, and infrastructure to ensure every deployment is production-ready, secure, and built to last. We’re looking for an Infrastructure Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI. We don't just ship and move on. We stay close to the customer experience, translating real-world deployment challenges into platform improvements, automation, and scalable playbooks that make every future rollout smoother than the last. If you're energized by solving complex technical problems at the intersection of customer impact and platform excellence, this is the team for you. Responsibilities: Define and execute the infrastructure roadmap aligned with business and engineering priorities. Lead the design and implementation of scalable, secure, and reliable infrastructure systems. Set and maintain SLAs/SLOs for platform uptime, performanc

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Lead (Manager), Data Validation Specialist to oversee a team of Data Validation Specialists responsible for ensuring the accuracy and integrity of financial data during new client onboarding. You’ll manage daily workflows, ensure consistent data quality across projects, and serve as the primary liaison between the Data Validations team and cross-functional partners. This is primarily a non-client-facing role that plays a key part behind the scenes, requiring focus, consistency, and comfort with repetitive work. It’s a great fit for someone who enjoys working with data in a structured way and takes pride in getting the details right. You’ll be instrumental in fostering a collaborative team culture, driving consistency in our data conversions, and contributing to the growth of both your team and our global function. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Lead and mentor a team of Data Validation Specialists, supporting career development

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. As a Senior Lead of the Alternatives Data Operations, you will lead the operations function that is responsible for the human-in-loop review of Private Funds documents, ensuring clients' Alternatives data is processed, validated, and available in Addepar in a timely manner. You will manage a team of Alternatives Data Ops analysts who review Private Fund statements, modify data that has been incorrectly extracted by our machine learning models, and reprocess data within SLAs. In this role, you'll own the operational strategy, team performance, and continuous improvement of the Alternatives Data Ops function—a critical component of Addepar's Alternatives offering success. Your responsibilities will include b

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Build the future of the AI Data Cloud. Join the Snowflake team. As a Senior Business Systems Analyst you will be supporting the Finance IT Systems and be responsible for liaison between the Finance business stakeholders and developers. You must have the ability to translate business needs into Functional specifications, design and develop solutions, configure finance systems, test and deploy them into production. You have a passion for working cross functionally and building solutions to support business processes and data flows and strength in solving platform issues with expert troubleshooting skills. This role will work closely with multiple departments and other business partners, as well as Executives in Finance, Security, IT and HR. What you will be doing Independently contribute to following areas - Support finance systems for Period close activities of Finance operations Automate Accounting Process using cutting edge technology Core Accounting, External reporting Transformation Projects Core Accounting, External reporting Operational changes FP&A business requests Identify Accounting/Finance process gaps and provide suggestions AI evangelist - Able to use best of class AI tools to quickly create wireframes, FSDs, use cases, test automations & other innovatio

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 . Staff Software Engineer, Customer Administration The Customer Administration Engineering (CAE) team is a core pillar of Coinbase's Enterprise Applications and Architecture (EAA) org, responsible for building and operating the secure, foundational platforms that power customer data operations across Coinbase. Our flagship product, Control Center, is Coinbase's secure system of action for internal specialists across CX, Compliance, Legal, Global Investigations, Trust and Risk, and dozens of other teams. It serves approximately 7,000 internal users via its UI and powers a growing ecosystem of internal tools and AI automation via its backend APIs and MCP. We are at an exciting inflection point: evolving Control Center from a human-specialist UI into a modular, AI-agent-ready operations platform. As a Staff Software Engineer, you will be a technical anchor for the CAE team, driving architectural decisions, mentoring engineers, and leading the delivery of high-impact, cross-cutting platform capabilities. What You'll Do Architect and deliver foundational platform capabilities including MCP tool registries, AI orchestration layers, risk-based access automation, and the away-team contribution model that enables product groups across Coinbase to build on the platform safely and at speed Drive the evolution of Control Center into an AI-agent-ready, headless operations pl

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this role We are seeking a Staff Product Manager to serve as an internal PM embedded within this team. This is not a traditional external-facing product role—it is an internal platform product leadership position. You will own the roadmap for our enterprise systems, act as the strategic voice of the business within engineering, and bring senior product craft to a team of Analysts and engineers who build and operate GitLab's revenue infrastructure. This role is ideal for a seasoned product leader who has deep Quote-to-Cash or Finance domain knowledge, thrives at the intersection of business strategy and techni

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 . The Enterprise Applications & Architecture (EAA) Business Unit Delivery team builds and operates the internal platforms that help Coinbase scale. Within EAA, the Compliance CX Agent Experience team owns Agent Cockpit, the primary internal platform used by Coinbase's compliance agents and investigators to review cases, communicate with customers, access account and transaction data, and resolve compliance-related support queries. As a Staff Technical Program Manager, you'll own program delivery for this complex, high-impact platform, driving cross-functional execution to ensure agents and investigators have reliable, performant tools every day. What you'll do: Own the program management framework for Agent Cockpit, including roadmap tracking, intake and prioritization, sprint planning, dependency management, and cross-team delivery execution. Drive technical dependency coordination and platform migrations, translating upstream system changes (API deprecations, service integrations, data model changes) into internal delivery plans and engineering asks. Lead launch readiness and operational risk management, owning security review coordination, production approvals, testing governance, and escalation when critical-path items stall. Partner with Engineering on reliability, observability, and performance programs, including system health metrics, load testing, capacity

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 . The CX Automation team within Enterprise Applications & Architecture engineers seamless, intelligent customer experiences by maximizing automation across support surfaces. As Senior Product Manager for the Help Center, you’ll own Coinbase’s primary self-service channel—where most customers first seek support. You’ll drive Automation Rate and customer satisfaction by building AI-powered search, personalized article experiences, and self-service workflows that resolve issues before they reach an agent. What you’ll do Own the Help Center roadmap across search quality, article strategy, AI summaries, and self-service flows serving millions of global customers. Improve Automation Rate and CSAT by identifying high-impact opportunities to deflect contacts via better self-service, smarter surfacing, and proactive resolution. Build AI-integrated search and content experiences with ML/LLM partners to enhance relevance, summaries, and contextual Quick Actions. Partner with CX Ops, Content Design, Engineering, and Data Science to maintain accurate, high-coverage knowledge across geographies and languages. Define and track funnel metrics (Automation Rate, Search AtR, CSAT, escalation rate) and use data to drive prioritization. Collaborate with internal platform teams and 3P vendors to keep chat, voice, and agent-tool integrations seamless and current. Required Skills a