Occasional remote work is allowed for this position.
Type of contract for this position: Permanent contract
The position
Job description
We’re looking for a hands-on Growth engineer to help grow Notion’s Startups and SMB programs. You’ll work closely with our Ecosystem Growth Lead to help more businesses grow with Notion
Work with a small team that operates like a growth lab. Startups and SMBs are the proving ground for ideas that can change how Notion grows
Build and launch new growth programs, from creator-led acquisition to AI-powered systems for testing new audiences and campaigns. Bring your own ideas and take responsibility for getting them off the ground
Move quickly from a rough hypothesis to a live experiment. Write code for new in-product experiences and build alongside Storytelling, Product, and Engineering to get your work into customers’ hands
Use SQL and customer research to find overlooked opportunities. Measure what changes customer behavior and revenue, and use the results to choose where to go next
Turn the strongest experiments into programs other teams can run. Build the systems and playbooks for them to expand across Notion, then take on the next growth challenge
Preferred experience
You can spot opportunities in the data and own the executing on the plan that follows. You’re comfortable getting into the tools yourself, moving quickly without sacrificing accuracy, and staying accountable for results
The ability to take an ambiguous goal and execute on growth initiatives. You unblock yourself where possible and communicate clearly when you need another team’s help
Experience with self-serve SaaS or startup and SMB customers is a plus. If you’ve done similar work but with a different title, we’d love to hear from you!
2+ years and a record of shipping growth or operations projects. You can explain what you personally built and what changed as a result
Hands-on experience building campaigns or automated workflows in tools such as Customer.io, Salesforce, or comparable platforms
Typescript, Full-stack, and Systems-thinking
Strong SQL and analytical judgment. You can work through messy data and distinguish a promising signal from a misleading result
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