RevOps Engineer

Solo.io, Inc.

About The Position

We are looking for a Revenue Operations Engineer to help build, maintain, and evolve the technical foundation of our go-to-market systems. This role sits at the intersection of data engineering, analytics, systems administration, and applied software engineering. You will work across Sales, Marketing, Customer Success, Finance, Engineering, and Content to ensure our revenue data is accurate, accessible, and actionable. This is not a narrowly scoped analyst role. You will be expected to operate in ambiguous problem spaces, independently propose solutions, and seamlessly navigate a diverse technical stack—from Salesforce to dbt models to terminals to APIs—often tackling multiple systems. If you enjoy figuring things out when the requirements are incomplete, documenting what you learn, and teaching others how systems actually work, this role is designed for you. This role may require occasional travel

Requirements

1–4 years of experience in Revenue Operations, Analytics Engineering, Data Engineering, or Sales/Marketing Systems.
Strong working knowledge of SQL and relational data modeling concepts.
Hands-on experience with at least one modern analytics stack (e.g., BigQuery + dbt).
Comfort operating in ambiguous environments with minimal direction.
Ability to explain technical concepts clearly to non-technical stakeholders.
Confidence to challenge assumptions and suggest better approaches.

Responsibilities

Build, maintain, and optimize data pipelines that support revenue, marketing, and customer analytics.
Develop and maintain analytical models using dbt, ensuring data is reliable, well-documented, and reusable.
Own data transformations and modeling logic across core GTM datasets (leads, accounts, opportunities, product usage, revenue).
Partner with stakeholders to translate vague business questions into testable data models.
Configure, monitor, and troubleshoot data syncs using tools such as: FivetranBigQuery Data TransferAirbyte (Open Source)
Ensure data integrity across Salesforce, Marketo, and downstream analytics platforms.
Diagnose sync issues, schema changes, and upstream system quirks before they become business problems.
Gather requirements from nearly every business unit: Sales, Marketing, Customer Success, Finance, Engineering, Solutions Engineering, Content Marketing
Navigate incomplete or conflicting inputs and independently determine: What the actual problem is What the simplest viable solution is What a better long-term solution might be
Document decisions, assumptions, and tradeoffs so others can follow and learn.
Ideate, hypothesize, and test solutions without needing explicit step-by-step instructions.
Leverage AI tools (including OpenAI APIs, copilots, etc.) to accelerate experimentation and iteration.
Challenge existing approaches and propose improvements—even when the current solution “works.”
Manage multiple projects and shifting priorities in parallel.
Move comfortably between: Salesforce configuration SQL and dbt modeling Terminal-based debugging API testing Light web development or tooling (e.g., internal utilities)
Perform end-to-end testing across systems (e.g., from form fill → Marketo → Salesforce → warehouse → dashboard).