Growth Engineer
Jinba.io
Growth Engineer
Jinba.io
Enterprise AI workflow automation platform
Location: San Francisco
Reports to: Head of Growth
Jinba is the enterprise workflow automation platform that lets teams describe workflows in natural language and deploy them as APIs or MCP servers. We have 40,000+ daily enterprise users at Japanese Fortune Global 500 companies — and we're just getting started.
We're part of Y Combinator W26.
We're hiring a Growth Engineer to own the systems that turn signups into customers. You'll work across the full stack — building landing pages, instrumenting funnels, running in-app experiments — whatever it takes to move the metrics.
This is an engineering role with a growth mindset, not a marketing role with some coding involved. You'll ship real features, run real experiments, and have direct impact on revenue.
Build and optimize our marketing site, signup flows, and onboarding
Design and run A/B tests across the funnel
Integrate and automate our CRM and lead nurturing systems
Ship growth features in the product (referrals, usage triggers, activation loops)
Work directly with the Head of Growth to prioritize high-leverage experiments
Full-stack skills: TypeScript, React, SQL, Python
Data fluency: BigQuery, Mixpanel (or similar). You can write queries, build dashboards, and pull your own insights
Product growth experience: You've thought about activation, retention, and conversion — not just features
Bias to action: You ship fast, measure everything, and iterate
Comfort with ambiguity: We're early. You'll participate in crafting high leverage hypotheses to test.
Ex-technical founder (you've built something from zero)
Experience at a PLG or developer tools company
Familiarity with CRM/marketing automation (Loops, HubSpot, Segment, etc.)
YC W26 — breakout startup
Real enterprise traction before Demo Day
Small team, big ownership
San Francisco-based, working on hard problems
Jinba.io builds AI workflow automation for enterprises. Its platform lets business teams describe needs in natural language to auto-create executable workflows with Jinba Flow, then run them safely in Jinba App through a chat interface or auto-generated forms; Jinba Toolbox offers reusable AI tools in Python and TypeScript. It integrates with Salesforce, Slack, databases, and private AI models via AWS Bedrock and Azure AI, and supports on-premise or private cloud deployment with SOC 2, RBAC, end-to-end encryption, and audit logs. The goal is to help large organizations automate complex processes at scale while preserving governance, security, and seamless integration with existing tools.
Explore more opportunities at Jinba.io