Sales Operations Analyst

Clipboard; United States; Remote; USD 90,000 - 110,000; Full time

Benefits offered by this job

Insurance benefits + 401k options

Unlimited PTO and flexible holidays

Remote-first working environment

Job summary

Clipboard is a remote-first marketplace connecting healthcare professionals with workplaces across the United States. The Sales Operations Analyst will own production systems, craft automations, and guide AI agents to support a high-growth sales org.

You will collaborate across data, automation, and internal tools, ensuring accuracy and reliability of revenue-focused data. The role emphasizes ownership, judgment in ambiguity, and delivering scalable, auditable solutions with a strong emphasis on

Qualifications

• Evidence of building scripts, automations, tools, systems, or other solutions.
• Experience using AI to multiply output and verify its work.
• Ability to operate with high judgment under ambiguity.
• Strong attention to detail and responsibility for production data integrity.

Responsibilities

• Own live systems such as account distribution, deal intelligence, and data pipelines.
• Solve ambiguous problems from sales and leadership and execute quickly.
• Direct AI agents: write specs/prompts, supervise outputs, QA before production data.
• Build automations and lightweight apps to scale recurring work.
• Analyze and report revenue questions using SQL and other tools.
• Guard data quality through merges, deduplication, mapping, and enrichment.

Skills

Building solutions

AI-native mindset

Judgment under ambiguity

Attention to detail

Ownership bias

SQL

Python

Job description

Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.

Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.

About the Role

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.

What You’ll Do

• 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.

What We’re Looking For

• 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 Have

• Experience in Sales Operations, Revenue Operations, Business Operations, analytics, or a similar environment.
• Experience building automations with tools, scripts, APIs, or AI agents.

Interview Process

• Application Review – We’ll review your experience and evidence of things you’ve built, automated, or owned.
• Take-Home Assessment – A practical, ~2-hour assessment using a fictional company, mock website, and CRM. You’ll have 48 hours to complete it, and AI tools are encouraged.
• Technical Walkthrough – A 30-minute session where you’ll demo what you built, explain your decisions, and make a small live change to your system.
• Manager Interview – A 30-minute conversation focused on communication, ownership, judgment, and how you operate under ambiguity.
• Final Steps / Offer! – Some candidates may have an executive conversation, followed by references and an offer.

What We Offer

• Insurance benefits + 401k options
• Unlimited PTO and flexible holidays
• Remote-first working environment

To get a better understanding of the general type of people we want to hire, you can check out our blog here.