Ecosystem Growth Engineer

Notion•New York, NY

3d•$150,000 - $180,000•Onsite

About The Position

The Ecosystem Growth Engineer will run growth experiments for Notion’s Startups and SMB programs, turning promising ideas into measurable customer and revenue growth. The role spans acquisition, product experiences, AI-enabled systems, and operations, partnering with Ecosystem Growth, Storytelling, Product, and Engineering. Work may include querying behavior data, prototyping in-product flows, launching campaign workflows, and evaluating whether results merit scaling. Within the first 90 days, the hire is expected to map relevant funnels, data sources, and existing growth bets with partners, then ship and evaluate an experiment from hypothesis through customer-facing launch. They will also build an AI-assisted workflow for audience research, campaign iteration, quality checks, or analysis, with human judgment and data guardrails. Within the first year, they will build and iterate a portfolio of growth programs using SQL and customer research, then turn successful experiments into reusable programs, playbooks, and measurement systems for other teams. The role is based in New York City. The team works in the office on Mondays, Tuesdays, and Thursdays (Anchor Days).

Requirements

Track record of shipping growth or operations projects, with a clear account of personal contributions and resulting impact.
Strong SQL skills and analytical judgment, including the ability to work with messy data, test assumptions, and distinguish promising signals from misleading results.
Hands-on experience building campaigns or automated workflows in tools such as Customer.io, Salesforce, or comparable platforms.
Ability to turn an ambiguous goal into a practical plan, unblock oneself where possible, and communicate clearly when help from another team is needed.
Curiosity and learning agility, including willingness to use AI as a collaborator and improve workflows based on experience.

Responsibilities

Run growth experiments for Notion’s Startups and SMB programs, from hypothesis to customer-facing launch and evaluation.
Identify and pursue opportunities to grow acquisition, activation, and revenue.
Map relevant funnels, data sources, and existing growth initiatives with partners.
Build AI-assisted workflows for audience research, campaign iteration, quality checks, or analysis, incorporating human judgment and data guardrails.
Use SQL and customer research to identify opportunities and prioritize growth investments.
Develop successful experiments into reusable programs, playbooks, and measurement systems for other teams.
Collaborate across Ecosystem Growth, Storytelling, Product, and Engineering.