AI-Powered Revenue Systems Engineer

Planet DDS

Irvine (CA)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Medical, dental and vision insurance

Health Savings Account

Flexible Spending Accounts

Telehealth

401(k) and 401(k) match

Life and AD&D insurance

Short-Term and Long-Term Disability

FTO or Vacation

Sick Time

Employee Well-Being program

11 paid holidays

Volunteer Time Off

Employee Referral program

Additional perk and voluntary benefit

Job summary

Planet DDS in Irvine, CA, is seeking a Revenue Systems Engineer who will own the GTM tech stack integrations, automation, and AI-assisted workflows used by AEs, AMs, and BDRs. The role emphasizes reliability and building the next generation of AI-powered processes on top of existing systems.

You will collaborate with Revenue Operations, own data integrity in Salesforce, and evaluate new tools. A builder’s mindset, execution-first, and ability to translate technical concepts for non-technical

Qualifications

5–6 years of experience in revenue operations, sales operations, or a technical GTM function, with a demonstrated shift in the last 1–2 years toward hands‑on systems and AI workflow development.
Salesforce fluency — solid understanding of object structure, data hygiene, and how CRM data feeds downstream automation and AI tools
Prior experience with Snowflake preferred, including a working knowledge of its data modeling and warehouse structure
Experience building API‑connected toolchains and multi‑system integrations — not just point‑and‑click automation. You are comfortable reading API documentation, writing integration logic, and troubleshooting when something breaks in production.
Practical AI and LLM fluency — you understand how to deploy AI into operational workflows without requiring an ML engineer. You know how to write and structure prompts for consistent, repeatable outputs and have built systems that use LLMs in production, not just experimented in demos.
Strong communication skills that bridge technical and non‑technical stakeholders — you can explain what a system does and why it matters to a skeptical AE, a RevOps manager, and a CRO, without losing any of them. You also have the analytical instincts to identify where a system will fail before it does.

Responsibilities

Systems Integration & Architecture — Maintain, iterate, and improve on the integrations connecting our GTM tech stack — Salesforce, Gong, Outreach, HubSpot, DocuSign, and emerging AI tooling.
AI Workflow Development — Build and deploy AI-assisted workflows that support the revenue team — automated account research, deal prep, outbound prospecting agents, risk alerts, and follow-up drafting. Write the prompt logic, configure the orchestration, evaluate output quality, and iterate based on rep feedback.
Salesforce Development & Data Integrity — Assist with the technical layer of Salesforce — building flows, managing object structure, and creating hygiene standards that keep downstream automation reliable.
Automation & Process Engineering — Identify high-friction points in AE and AM workflows and help build systems that eliminate them using AI workflows or by extending existing API connections between our systems.
Tool Evaluation & Stack Ownership — Own the technical layer of the revenue stack to ensure the systems and processes you deploy remain reliable and actively used. Evaluate new tools against real use cases to help determine what’s worth building vs buying.
Enablement & Adoption — A system no one uses is a failed system. Partner with Revenue Enablement to run training, create reference documentation, and work directly with reps to drive adoption of the tools you build. Own the outcome, not just the build.
Performance Measurement — Define how we measure the impact of systems you ship. Build the reporting that tracks conversation rates, pipeline velocity, and rep time-on-task, and use those signals to decide what to build, improve, or retire.
Iterate & Improve — Everything you ship is v1. Gather feedback from reps and managers, identify what’s underperforming, and push improvements continuously. You own the full lifecycle — from design through deployment through ongoing maintenance.