Revenue Operations Engineer

About the role

We’re looking for a Revenue Operations Engineer to own the systems that power our go-to-market engine. Our stack includes Salesforce (with CPQ), HubSpot, and Planhat, spanning the full revenue lifecycle from lead generation through sales, onboarding, customer success, and renewal.

You’ll own the end-to-end revenue data architecture — designing how data flows between systems, building and maintaining integrations, creating automations that scale, and ensuring our go-to-market teams have the tools and processes they need to operate efficiently.

This is a hands-on, technically oriented role. You’ll be equally comfortable configuring Salesforce flows and writing API scripts to handle bulk data operations. We’re an AI-forward company and expect you to be as well — leveraging tools like Claude, Claude Code, and similar to accelerate your work.

Responsibilities

• Revenue systems administration — Salesforce (including CPQ), HubSpot, and Planhat. Configuration, customization, user management, and ongoing optimization.
• Integrations and data flow — Building, maintaining, and monitoring the connections between systems using native tools, iPaaS platforms, or custom scripts.
• Automations and workflow design — Salesforce flows, HubSpot workflows, Planhat playbooks. Ensuring proper governance, including cost management for AI/ML features.
• Data operations and migrations — Bulk imports, exports, deduplication, enrichment, and system-to-system migrations via API, scripting, or data loader tools.
• Process design and optimization — Translating business requirements from revenue team leaders into system configuration, and proactively identifying inefficiencies.
• Data analysis and reporting — Building reports and dashboards that surface actionable insights — including leading indicators such as engagement trends, adoption patterns, and early churn signals — to support data-driven decision-making across revenue teams.
• Update and maintain system configurations, workflows, and integrations following defined processes to ensure efficient data management.
• Provide closed-loop feedback to ensure continuous process optimization.
• Keep up-to-date on industry trends, platform releases, and best practices across the revenue technology landscape.
• Other duties as assigned.

Qualifications

• Required
  • 3+ years administering and configuring Salesforce, including the data model, object relationships, flows, and permission structures. CPQ experience strongly preferred.
  • Demonstrated ability to work with APIs — reading documentation, writing scripts against REST endpoints, troubleshooting integrations. Proficiency in Python, JavaScript, or similar.
  • Strong judgment on when to automate vs. when to execute manually. You know when a repeatable workflow justifies the investment and when a one-time script or brute-force approach is the smarter call. Working smarter, not just harder.
  • Experience with at least one integration/automation platform (Make, Workato, Tray.io, or similar) beyond simple point-and-click configuration.
  • Track record executing data migrations between SaaS systems — scoping, field mapping, transformation, validation, and rollback planning.
  • Experience translating business requirements from go-to-market teams (Sales, Marketing, CS) into system configuration. You understand the revenue lifecycle, not just individual tools.
  • Highly self-motivated and dependable. Resourceful and versatile.
  • Strong communication and interpersonal skills. Comfortable explaining tradeoffs to non-technical stakeholders and pushing back constructively when needed.
  • Strong time management and organizational abilities.
  • Proficiency with CRM software and sales tools.
• Strongly Preferred
  • Experience with HubSpot (Marketing Hub and/or Sales Hub).
  • Experience with a customer success platform (Planhat, Gainsight, ChurnZero, Vitally, or similar).
  • Understanding of B2B SaaS revenue processes and workflows — lead routing, opportunity management, quote-to-cash, customer handoff, onboarding, renewal cycles.
  • Data analysis and interpretation skills — ability to analyze customer and revenue data, identify trends and patterns (e.g. churn risk indicators, adoption signals), and translate findings into operational recommendations.
  • SQL proficiency for ad hoc data analysis and reporting.
  • Familiarity with data governance — deduplication strategies, field-level hygiene, naming conventions, change management.
  • Experience using AI tools (Claude, Claude Code, ChatGPT, Copilot, or similar) to accelerate technical work.
  • Experience creating AI agents or AI-powered workflows to automate business processes.
  • Experience working in SaaS or software environment.
  • Experience with aftermarket auto repair clients.

Benefits

• Competitive Base Salary
• 4 Weeks Paid Time Off
• 7 Days Paid Sick Time
• 1 Birthday Day Annually
• 1 Floating Holiday
• 7 Paid Holidays + Annual Holiday Break
• Annual Anniversary Bonus
• 401k
• Family, Medical & Bereavement Leave
• Employee Assistance Program
• Employee Work-Life Wellness Program
• Remote Employee Reimbursement Program
• Health, Dental, Vision, Life Insurance, and Disability
• Kukui Active (50% paid gym membership up to $100)
• Team Building Events
• LinkedIn Learning Partner
• Employee Referral Bonus