CodeSignal is how the world discovers and develops the skills that will shape the future. Our skills platform empowers teams to go beyond skills gaps, with hiring and AI-powered learning solutions, and helps individuals cultivate the skills they need to level up. Wherever you are on your journey, CodeSignal’s hiring and learning solutions meet you there and get you where you need to go.
Having powered millions of skills evaluations, CodeSignal is trusted by leading companies like Netflix, Capital One, Meta, and Dropbox, and is used by learners across the globe. Some of our latest accomplishments include:
What makes a Signalite?
Signalites are the incredible people who make up CodeSignal’s global team. We believe every Signalite should be given the context to understand decisions, the freedom to act independently, and the responsibility to do what’s right. These principles build upon each other to drive motivation, speed, innovation, and a results-oriented, high-performing culture. We believe that culture is not just about principles, but also behaviors. This belief can be seen and felt in everything we do as Signalites.
The Role
This is a role for someone who looks at a messy spreadsheet, a broken process, or a confusing metric and thinks: I can figure this out. And then actually does.
As our CS Ops Analyst, you'll sit inside the GTM Ops team and serve as the operational engine behind our Customer Success org. You'll dig into data, spot inefficiencies, build dashboards, tighten workflows, and use AI tools to move faster than anyone expects. You won't be handed a playbook — you'll help build one.
The best people in roles like this know when to run with a hunch and when to stop and ask. Someone who can take direct feedback, adjust immediately, and not take it personally, because that's what growth actually looks like. You don't need to have all the answers. You do need to be honest when you don't, stay curious when things get hard, and keep getting better every single week.
If you're early in your career, hungry to grow, and get genuinely excited when a complex problem finally clicks into place, this role was built for you.
What You'll Do
- Find the inefficiencies. Audit CS processes, workflows, and tools to identify where time is wasted, signals are missed, or steps don't make sense, and fix them.
- Build and maintain reporting. Own dashboards and reports in Salesforce that track renewals, health, risk, and team performance. Make sure the numbers tell a story CSMs and leaders can act on.
- Support the renewal & risk rhythm. Help maintain the weekly and monthly operating cadence: tracking pipeline, flagging risks, and keeping Salesforce data clean and current.
- Drive AI transformation across the CS org. This isn't about using AI to do your job faster. It's about identifying where AI can fundamentally change how the CS team operates. Find the workflows, the manual tasks, the repeated patterns, and lead the effort to replace or enhance them with AI-powered solutions that scale.
- Use AI to work smarter yourself. Bring AI tools into your own daily workflow to automate repetitive tasks, surface patterns in data, and do in hours what might otherwise take days. Then teach the org what you've learned.
- Connect the dots. Look across multiple data sources (product usage, CRM data, support tickets, health scores) and surface the patterns that matter before anyone else notices them.
- Support CS leadership and the CS team. Be a reliable operational partner to CS leaders and CSMs, fielding requests, removing friction, helping them get what they need to do their jobs well. You're part of the team's success, not just a back-office function.
- Support cross-functional programs. Work with Sales, Finance, and Enablement on handoffs, reconciliations, and process improvements that touch the full customer lifecycle.
What We're Looking for
- 2–4 years in a CS Ops, RevOps, Sales Ops, GTM Analyst, or CSM role at a B2B SaaS company
- Genuinely AI-native — you use AI tools in your daily work, not just occasionally
- Strong analytical instincts — you see patterns in data quickly and know what questions to ask next
- Hands-on Salesforce experience — building reports and dashboards, not just reading them
- Advanced spreadsheet skills; comfortable cleaning, structuring, and QA'ing messy data
- Self-starter who closes loops without being chased
- Intellectually curious — you like puzzles, you like figuring things out, and you get excited when something complex finally makes sense
Why You'll Love it Here
We know that great work comes from great, and inclusive teams. At CodeSignal, we specifically look for individuals of varying strengths, skills, backgrounds, and ideas. We believe this gives us a competitive advantage to better serve our customers and helps us all grow as Signalites and individuals. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. CodeSignal is proud to be an Equal Opportunity Employer.
Globally distributed, fully remote team
Competitive salary, equity, and bonus comp packages
Medical, dental, and vision coverage
401k matching (US) or pension fund contributions (Global)
Unlimited time off policy
Learning & Development benefits
Physical & Mental Health benefits
Equipment & home office setup stipend
Team activities and get-togethers to connect with your fellow Signalites
A challenging and fulfilling opportunity to join a fast-growing AI company
Compensation
In accordance with local regulations in jurisdictions where CodeSignal may hire, we are projecting an annual total on-target earnings (OTE) in the range of $100,000 to $135,000. This range encompasses all seniority levels eligible for this position. The OTE includes base salary and commissions.
Here at CodeSignal, our offer packages contain base salary plus additional compensation in the form of commission or performance bonuses, equity, and/or additional benefits such as those described above. Offers are awarded on an individual basis and are subject to factors such as, without limitation, a candidate’s level of experience, growth trajectory, and local labor market.