Middesk Growth Engineer at Middesk working with Marketing and GTM to drive customer acquisition and expansion. Ship features across acquisition and expansion funnel including in-product trials, self-service onboarding, and website rebuild.
Responsibilities
We're hiring our first-ever Growth Engineer to join a small engineering pod that works directly with Marketing and GTM to bring more of the right customers to Middesk and help existing customers get more out of the platform. You'll ship features across the acquisition and expansion funnel - in-product trials, self-service onboarding, the middesk.com rebuild, expansion signal automation- instrument them, and use the results to decide what's next. Every project has a number attached to it.
Ship features in the Middesk dashboard that let customers discover and trial new products in context, such as trial credits, side-by-side proof points, and in-product case studies that show the lift a product would deliver on the customer's own data.
Build and improve self-service onboarding so that smaller businesses can sign up, get value, and convert without a sales touch.
Own the engineering behind the middesk.com rebuild: site structure, performance, content written for both humans and AI agents, hosted demo environments, and the testing infrastructure that lets Marketing iterate without an engineer in the loop.
Work day to day with Marketing, Sales, and Account Management to understand what they're seeing in the funnel and turn that into a prioritized backlog.
Apply Middesk's internal agents to growth problems: account and contact enrichment, content research, topic curation, and funnel analysis.
Qualification
Comfort with SQLStrong communication with MarketingPrior growth engineeringSEO or AI search (AEO) experienceFintech
Required
5+ years shipping production web applications with strong full-stack fundamentals - we run Rails and React.
Deep comfort operating in ambiguous environments where assumptions and priorities change routinely.
Strong frontend skills and an eye for user-facing quality.
Comfort with SQL, analytics, and defining and defending a metric.
A track record of owning outcomes end to end, including measurement and iteration after launch.
Strong communication with Marketing, Sales, and other non-engineering partners.
Startup experience and a hands-on AI tooling workflow.
Prior growth engineering, product-led growth, or experimentation experience, including A/B testing frameworks and funnel analytics.
SEO or AI search (AEO) experience, or experience building marketing sites that serve as a real acquisition channel.
Fintech, compliance, or identity background where data accuracy matters.
