Sr Customer Success Engineer Jobs

CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks t

CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks t

CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks t

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. About Everpure Everpure is the pioneer of modern data platforms, delivering an Enterprise Data Cloud architecture that helps the world’s most demanding organizations modernize infrastructure, reduce risk, and create space for innovation. Focused on deep customer engagement, technical excellence, and cross-functional execution, we empower global enterprises to manage their data seamlessly across hybrid and cloud-native landscapes. The Role This is a high-impact presales engineering position within our elite Worldwide Strategics organization. In this role, you will focus exclusively on our Tier 1 Financial Services Institutions (FSI) across the UK and broader EMEA landscape. You will combine master-level technical depth with strategic account execution, serving as a trusted technical advisor to some of our most vital global accounts, including Barclays, HSBC, Lloyds, LSEG, RBS, and UBS. You will sit at the intersection of customer business priorities, complex enterprise architectures, and Everpure’s state-of-the-art data platform to drive meaningful business outcomes. Core Responsibilities Build Trusted Relationships: Develop deep, technical, and advisory relationships with customer executives, enterprise architects, platform teams, and operational stakeholders across major global FSI accounts. Lead Presales Engagement: Drive the technical sales cycle from initial discovery and problem diagnosis through architecture design,

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the

About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As data and Generative AI applications become increasingly foundational to public sector modernization and national security, safeguarding the infrastructure that powers them is paramount. Databricks is looking for a Sr Technical Solution Engineer to join our Cleared Engineering team in McLean, VA. This team sits at the critical intersection of core infrastructure operations and active platform reliability, ensuring our multi-cloud data enclaves and advanced AI software run flawlessly inside highly secure, air-gapped partitions. In this role, you will move beyond reactive ticketing to tackle complex system and network environment blocks, serving as a primary technical pillar for our secure GovCloud operations. This position offers a unique opportunity to own the operational integrity of high-side platform interactions. You will be responsible for executing sophisticated debugging, deep-dive environment analysis, and running specialized tooling and scripts to unblock internal engineering teams. Operating within a high-consequence compliance framework, you will navigate evolving operational models—including dedicated secure facility operations—while directly engineering out systemic roadblocks. If you are a sharp systems or cloud specialist looking to apply your technical expertise to the world's leading Data

FEQ427R313 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. Important Eligibility Requirement: Due to contractual requirements supporting U.S. Public Sector customers, this position requires U.S. citizenship. Candidates who are not U.S. citizens are not eligible for consideration. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: U.S. citizenship

The Team + The Role Pendo’s GTM Enablement function builds the playbook, systems, and reinforcement loops that help customer-facing teams perform consistently and measurably. The team partners across Sales, Customer Engineering, Revenue Operations, and GTM AI Operations to translate strategy into field behavior that improves revenue outcomes. As Senior Director, GTM Enablement, you will own the enablement operating system for Pendo’s Revenue organization. You will scale Command of the Message reinforcement, build AI-native practice and certification loops, strengthen role-based onboarding, and connect enablement activity to measurable outcomes like ramp time, attainment distribution, pipeline quality, and retention. This role leads a team across role architecture, technical architecture, GTM readiness, and program management, and partners directly with senior GTM leaders to drive decisions that stick. This is a role based in-office in Raleigh, New York, or San Francisco, or Remote in the United States. What this looks like day-to-day Command of the Message scale: Own the next phase of Pendo’s Command of the Message implementation, including reinforcement, manager accountability, AI-assisted practice loops, and certification cycles. Ensure all ramped Account Executives, Account Directors, and Customer Engineers achieve and maintain CotM fluency through Exec.com certification and continuous reinforcement. Manager enablement: Build manager-specific enablement tracks that make first-line and second-line managers active owners of change. Establish coaching accountability checkpoints, measure manager adoption, and ensure managers can coach the methodology in deal reviews and field interactions. AI-native reinforcement: Design r

RDQ427R368 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Configuration Platform team owns the systems that move configuration and feature flags across every Databricks service. The platform decouples code deployment from feature enablement for thousands of internal engineers, transports configuration across AWS, Azure, and GCP to every Databricks compute surface, and serves 25,000+ active flags and over 300 million evaluations per second at ~10μs p95 latency. It is the primary lever Databricks uses to safely roll out changes, run experiments, and mitigate incidents in minutes instead of hours. We're looking for a Senior Engineering Manager to lead a team within the Configuration Platform organization. This is a hands-on leadership role that combines deep distributed systems judgment with strong people leadership, driving multi-quarter strategy on one of Databricks' most critical stability primitives while continuing to raise the bar for how engineers across the company ship change safely. The impact you will have: You will lead a team that directly shapes how thousands of Databricks engineers ship, ramp, and roll back changes every day You will reduce the rate and blast radius of customer-impacting incidents caused by configuration and feature changes, through stronger guardrails, validation, and graduated rollout patterns You will close the loop between "bad change"

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff Software Development Engineer-AI Security to join our team. This is a Hybrid (based in San Jose, CA or Bellevue, WA with a 3 days in office requirement) role, reporting to the Director of Software Engineering in the Emerging Tech department. You will be responsible for designing and implementing core infrastructure components and distributed systems, serving as a foundational architect for our AI security solution. This high-impact role focuses on scaling security infrastructure to support hundreds of millions of users, collaborating with stakeholders across the development lifecycle to drive innovation and technical excellence. What you’ll do (Role Expectations) Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture Build resi

P-1093 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The ManagedTables team at Databricks is responsible for the DataIntelligence initiatives that underpin the Unity Catalog ManagedTables offering. This encompasses products such as Predictive Optimization, Liquid Clustering, and control plane services facilitating Unity Catalog and Iceberg Rest Catalog API-based access to ManagedTables. The team is accountable for optimizing exabytes of data and saving millions of dollars annually for our customers through the Data Intelligence offerings. As part of this team, you will be working on realizing enterprise grade autonomous analytical datasystems - that ensure the best performance out-of-the-box. You will design and implement these next gen systems that leapfrog state-of-the-art: Storage lifecycle and additional background optimizations for a knob-free experience via Predictive Optimization Efficient storage structures and innovations to power storage layout solutions for the ML world Influence the Data format and Catalog interface unification efforts and enable strong ecosystem interoperability for ManagedTables The Impact you will have: Solve real business needs at large scale by applying your software engineering experience and by driving strong collaboration with Product partners Deliver a highly scalable, available, and inter-operable architecture for Managed Tables. Lo

CSQ327R29 The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization to account teams and customers in Latin America (LATAM) for successful implementation and value realization. You will independently lead large, complex, cross-functional programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts. The impact you will have: Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders. Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations. Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets. Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals. Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction. What we look for: 7-10 years running a Professional Services line of business. 10+ years in senior customer-facing roles with a mix of influencing and execution. Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google). Strong knowledge of Databricks architecture, competitors, and migration benefits. Proven track record of managing large-scale program plans and service delivery. Ability to travel up to 25-50% as required. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databrick

FEQ327R1 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 5+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experienc

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff Site Reliability Engineer (Federal) to join our team. This is a fully onsite role based in Crystal City, Virginia, reporting to the Manager, Site Reliability Engineering in the Government Cloud department. You will join the team responsible for building the world’s largest cloud security platform, enabling organizations worldwide to harness speed and agility. In this critical role, you will maintain our commitment to security by managing operations within classified environments, ensuring our multitenant architecture remains the leader in cloud security. What you’ll do (Role Expectations) Manage operational tasks for products in US Government classified environments, including deployments, on-call duties, incident management, and participation in regular deployment syncs Oversee all cloud infrastructure components such as AWS, private cloud environments, containers, and VMs to ensure stab

GAQ327R186 We’re seeking a highly experienced Senior Executive Assistant to provide comprehensive support to our Chief Operating Officer (COO). This role is ideal for someone with extensive experience supporting senior leaders in fast-paced, high-growth environments, particularly within global software or technology organizations. As a trusted partner to the COO, you will play a pivotal role in operationalizing strategic initiatives, managing complex scheduling needs, and driving cross-functional collaboration across departments such as Sales, Marketing, Engineering, People, and Product. You will also oversee the planning and execution of strategic events and community-building initiatives for the team. In addition to these responsibilities, this role requires expertise in managing global travel logistics and customer engagement planning to maximize the COO’s impact during business trips. The Impact You Will Have: Ensure the COO is fully prepared for all meetings with an accurate, forward-looking calendar. Navigate shifting priorities and high-pressure environments with unyielding grit, maintaining a "calm in the storm" presence. Deploy a deep functional comfort with AI tools to synthesize data, automate routine administration, and accelerate decision-making cycles. Proactively manage and prioritize the COO’s schedule to optimize productivity. Coordinate with internal and external stakeholders to ensure timely responses and seamless communication. Enhance the COO’s efficiency by streamlining workflows, enabling a more productive team and company. Execute strategic initiatives with precision, delivering measurable outcomes. Curate customer engagement plans for business travel to ensure maximum impact. Responsibilities: Calendar Management Organize all meetings, including team meetings, customer engagements, and internal business partner discussions across international time zones. Build and maintain records of all meeting requests while adhering to strict SLAs for re