VibeCodeCareers 
On-site in San Francisco, California, this mid-level role at Granola involves rethinking customer support in an AI-native company. You'll work directly in the codebase to resolve complex customer issues and improve the product.
Skills / Requirements
- AI Fluency
- AI-assisted Coding
- Amplitude
- Autonomy
- AWS
- Cloudwatch
- Cursor
- Customer Support
- Intercom
- Log Analysis
- Next.js
- Plain
- Problem Solving
- Product Thinking
- Retool
- Scrappiness
- SQL
- Technical Communication
- Vibe Coding
- Zendesk
Why Apply
This role is ideal for those who thrive on using AI tools like Cursor for coding and problem-solving. You'll leverage AI-assisted tooling to make code changes and resolve customer issues independently, without waiting on product engineers.
What You'll Be Doing
You'll handle complex technical escalations, digging deep into issues with tools like Cloudwatch and SQL. You'll ship fixes directly, build internal tools, and document bugs to drive product improvements. Your work bridges customer support and engineering.
Working in San Francisco, California
- San Francisco is a global tech hub, offering vast networking and career opportunities in the tech industry.
- The city is known for its vibrant culture and diverse communities, making it an exciting place to live and work.
- Public transportation options like BART and Muni make commuting around San Francisco convenient.
- San Francisco's climate is mild year-round, with cool summers and wet winters, ideal for those who enjoy a temperate environment.
Pay and Career Growth
Granola offers a compensation package slightly above market salary and above market equity, reflecting their commitment to attracting top talent. The role provides opportunities to shape processes and work closely with engineering, fostering career growth.
Benefits and Perks
- Above Market Salary
- Equity
- In-person Work
- Relocation assistance
Is This Role Right for You?
Good fit if you...
- You have experience in technical support or engineering and are comfortable with SQL and AWS.
- You use AI tools daily and have strong opinions on their effective use.
- You thrive in dynamic environments without established runbooks and enjoy building processes from scratch.
May not be for you if...
- You prefer structured environments with established procedures and runbooks.
- You are uncomfortable making code changes or working directly in a codebase.
- You rely heavily on escalations to product engineers rather than solving issues independently.
Original Job Description
Hey! We’re Granola đź‘‹
If you haven’t already, you should check out what we’re building, and why you should work here.
Today, Granola is used at many of the world’s top and fastest-growing companies, including leading enterprises like DoorDash, Gusto, Salesforce. Designed and built in London, Granola now serves a predominantly US customer base. To support that growth, we’ve opened a San Francisco office as the hub for our North American go-to-market efforts.
At Granola, we’re rethinking what customer support looks like at an AI-native company. Our CX team is highly technical, deeply empowered, and works directly in the codebase. We don’t believe in ticket queues and band-aid fixes. We believe in getting to the root cause, shipping the fix, and making the product better in the process.
You’ll be among our first hires in San Francisco. We’re looking for a Customer Experience Engineer who wants to push the boundary of what great technical support looks like. You won’t just escalate tickets to our product engineers, you’ll work alongside them in improving the product and our own tooling.
What you’ll do
- Own technical escalations. You’ll take our more complex tickets that need a deep dive, owning the responses to the user as well as the investigation.
- Dig deep into issues using Cloudwatch logs, console logs, SQL queries, Amplitude analytics, and Retool dashboards.
- Ship fixes directly. Use Cursor and AI-assisted tooling to make code changes and resolve customer issues without waiting on product engineers.
- Build internal tooling and infrastructure that make the whole CX team more effective.
- Run point on technical and high-priority customer issues. Triage tickets, respond in their preferred channels, and join calls to diagnose problems quickly and drive them to resolution.
- Be the bridge to engineering. Document bugs with detailed technical context, identify patterns, and drive product improvements.
- Write documentation so the team (and our AI agents) can resolve similar issues faster next time.
What we’re looking for
Technical ability
- Experience in a technical support or engineering capacity. You’ve read logs, navigated complex data models, and debugged complex issues before.
- Comfortable making small code changes in a real codebase (not just scripts).
- Hands-on with: SQL, AWS/Cloudwatch (or similar), log analysis tools, customer support platforms (Plain, Zendesk, Intercom, or similar), AI-assisted coding IDEs/agents.
AI fluency
- You use AI tools every day and have strong opinions about how to get the best out of them.
- You’re comfortable using AI tools to augment your skillset. Cursor is our default, but if you are more comfortable with something else we want to hear about it.
- You understand what AI gets wrong and know when to trust it and when not to.
Customer empathy & product thinking
- You can put yourself in a confused user’s shoes and explain not just what broke, but why it was confusing in the first place.
- You spot patterns across support issues and connect them to product improvements without being asked.
- You communicate clearly with both technical and non-technical audiences. You can empathise and adjust accordingly through the whole journey to solve an issue.
Scrappiness & autonomy
- You’ll be working without established runbooks. You’ll need to build them and use your own judgement when solving problems
- You don’t wait for perfect information or extensive direction before taking ownership.
- You thrive when no two days are the same and priorities shift quickly.
Culture fit
- Low ego, high ownership. You care about the outcome, not the credit.
- Relentlessly curious. You won’t rest until you understand why something happened.
- Genuinely excited about Granola. You’re curious enough to explore the product, develop your own point of view, and push us to make it better
Bonus points
- AWS experience beyond Cloudwatch.
- You tinker. Personal projects, side tools, “vibe coding” for fun.
- Experience in a startup or early-stage environment where you had to build a process from scratch.
Our tech stack
- Plain for customer support ticketing
- Decimal for AI triage and investigation
- AWS & Cloudwatch for log analysis and troubleshooting
- SQLÂ for database queries and investigation
- Amplitude for analytics and user behaviour
- Next.js for internal dashboards and tooling
- Cursor for AI-assisted coding and fixes, but experimentation with other agents is very much encouraged
About the Opportunity
We are living in the most exciting time for tool builders since Engelbart’s demo in 1968. We want to assemble the best crew to build this future, together. Our compensation philosophy is to pay slightly above market on salary and above market on equity.
Location
We are excited to work in-person from our office in San Francisco (most of the time). We are happy to offer relocation assistance to candidates who’ll be moving to SF to join us.
Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.
