Sales Operations Analyst

Clipboard•San Francisco, CA

5d•$75,000 - $110,000•Remote

About The Position

Clipboard is looking for a Sales Operations Analyst to help build and run the systems behind our sales organization. You'll work across Salesforce, data, automation, and internal tools to help our sales team operate more effectively. That might mean building an automation that eliminates a recurring workflow, investigating a messy data problem, redesigning part of our Salesforce setup, or building a new system from the ground up. We are a small team with an unusual operating model. Much of our execution runs through AI agents that we direct and quality-check, allowing each analyst to operate with the leverage of a much larger team. This is equal parts builder and operator. You'll own systems end to end, work through ambiguous requests from reps and leadership, and be accountable for making sure the things you build actually work.

Requirements

Evidence of building. You've built scripts, automations, tools, systems, or other solutions to real problems.
AI-native working style. You already use AI to multiply your output and understand where it can fail and how to verify its work.
High judgment under ambiguity. You can take a loosely defined problem, figure out what matters, and know when to act versus when to ask.
Strong attention to detail. You're comfortable being the last line of defense before changes affect production systems and large datasets.
Bias to ownership. When something you own breaks, you don't just fix the immediate issue. You look for the underlying problem and improve the system.
SQL and Python experience are strong pluses, but we're more interested in your curiosity, judgment, and ability to ship than checking every technical box.

Nice To Haves

Salesforce administration or development experience, including flows, SOQL, or data model design.
Experience in Sales Operations, Revenue Operations, Business Operations, analytics, or a similar environment.
Experience building automations with tools, scripts, APIs, or AI agents.

Responsibilities

Own live systems. Take ownership of production systems such as account distribution, deal intelligence, competitor tracking, and data sync pipelines. You'll be accountable for their accuracy and reliability.
Solve ambiguous problems. Work through requests from sales reps, managers, and leadership, figure out what is actually needed, and execute quickly.
Direct AI agents. Write specs and prompts, supervise AI agents, and rigorously QA their output before it touches production data.
Build automations and tools. Create scripts, scheduled jobs, Slack bots, and lightweight web apps that turn recurring manual work into scalable systems.
Analyze and report. Use SQL and other tools to answer important revenue questions and build reporting the organization can trust.
Guard data quality. Handle merges, deduplication, account mapping, enrichment, and other work required to keep our systems accurate at scale.