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Own revenue recognition and operational GL accounting for subscription and professional services revenue. Responsibilities include ASC 606 contract analysis, month-end close, journal entries, reconciliations, cloud hosting cost accounting, professional services margin reporting, invoicing, collections, forecasting, audit disclosures, and cross-functional process improvement. The role partners with Sales, Legal, Finance, Revenue Operations, and Professional Services in a fast-growing SaaS environment.

Leads platform engineering for enterprise SaaS/PaaS systems, owning architecture, distributed systems, MongoDB data infrastructure, Kubernetes migration, reliability, SRE, and production support. Builds and manages engineering teams, sets technical roadmaps, oversees hiring and development, drives AI adoption in software delivery, and partners with customers and cross-functional teams. The role is hybrid in San Mateo, California, requiring office attendance two days per week.

Lead executive discovery, enterprise AI deployments, and production rollouts across cloud, on-premises, and firewalled environments. Build MCP-powered context layers, resolve SSO and networking challenges, expand customer use cases, shape go-to-market messaging, and feed customer insights into product development. The role requires hands-on LLM and agent experience, strong commercial judgment, technical breadth, and frequent customer-site travel.

Advise enterprise customers on AI adoption by identifying high-value use cases, building prototypes, proving business value, and guiding deployments from concept to sustained adoption. Lead technical and executive discussions, apply expertise in prompt engineering, LLM selection, governance, agentic workflows, and integration, while collaborating with account, product, and engineering teams. Share field learnings through playbooks and product feedback. Regular customer-site travel of approximately 50% is required.

Advise enterprise customers on AI adoption, identify and prototype high-value use cases, lead technical and executive briefings, build ROI cases, align stakeholders, apply AI best practices, and guide pilots toward sustained adoption. Feed customer insights into product roadmaps, create deployment playbooks, and evangelize SnapLogic’s integration, data, MCP, and agentic workflow capabilities.

The Senior Enterprise Account Executive is responsible for sales strategy development, prospecting, and managing relationships with key accounts in IT solutions, focusing on strategic enterprise sales and exceeding quotas.

Maintain and improve platform reliability, scalability, and performance at massive scale. Monitor observability metrics, diagnose and resolve production incidents, fix defects, implement system optimizations, and collaborate with engineering and DevOps teams.

Sell SnapLogic's integration platform into enterprise accounts through outbound prospecting, territory planning, and managing complex sales cycles. Build relationships from technical teams to C-level, maintain Salesforce records, and execute land-and-expand strategies to meet quota.

Design, build, and operate backend platform services and infrastructure, owning features end-to-end from design through production. Improve reliability, performance, and scalability across services and the data layer, investigate and resolve production incidents, and convert fixes into durable improvements. Perform database work as needed (query/index tuning, sharding, capacity planning) and collaborate with SRE and application teams to meet zero-downtime SLAs. Mentor peers and raise engineering quality through reviews and best practices.