Staff Systems Engineer, Automations & Integrations

Responsibilities

• Design and build robust automations and integrations across business systems (e.g., Salesforce, NetSuite, BambooHR, identity, engineering and ticketing tools), focusing on reliability, observability, and reusability in Workato and adjacent platforms.
• Lead complex, cross-functional integration projects end-to-end: requirements, solution design, implementation, testing, deployment, and hypercare for GTM, EPD, and G&A stakeholders.
• Operationalize AI-powered workflows and agents (e.g., knowledge retrieval, intelligent triage, automated approvals) by integrating Glean and other AI tools into systems and processes in a governed way.
• Establish and evolve standards for automation design, testing, monitoring/observability, documentation, and security/compliance; drive adoption of shared patterns and best practices.
• Implement best-in-class error handling and alerting for automations, including runbooks, routing, and remediation patterns.
• Model high-quality engineering practices in Workato (version control, peer reviews, CI/CD for recipes, configuration-as-code).
• Partner with stakeholders to translate business problems into technical designs and roadmaps.
• Mentor engineers through design reviews, pairing, documentation, and enablement sessions.
• Explore and introduce innovation in automation patterns, AI agentic capabilities, and integration approaches.

Requirements

• 8+ years of experience in automation, integration, or data engineering roles, with track record of owning complex, business-critical systems (preferably SaaS/B2B).
• Expertise with Workato (recipe design, API integrations, SDK/custom connectors, error handling, operational best practices); Workato Automation Pro certification a plus.
• Hands-on experience with Glean (or similar AI platforms), including administration, API usage, and integrating AI workflows.
• Deep familiarity with enterprise systems: Salesforce, NetSuite, BambooHR, Okta/identity, engineering/ticketing systems.
• Strong architectural and automation design skills for patterns, reference architectures, reusable components.
• Solid background in ETL/ELT, data modeling, SQL/T-SQL, proficiency in scripting/programming (Python, Ruby, or similar).
• Proven experience operationalizing automation workflows and AI models (monitoring, observability, governance, lifecycle management).
• Excellent stakeholder engagement and communication skills.

Compensation

Base Salary Range: $170,000 - $190,000 (San Francisco headquarters).

Total rewards include equity, health benefits, leave policies, stipends, 401(k) match.