Real searches, real outcomes. Every case study here represents a problem that mattered to a growing technology company — and a result that moved their engineering team forward.
A Series B SaaS company in San Francisco was struggling to hire backend engineers with distributed systems experience. Their internal TA team was generating volume but failing on quality — candidates reached final stage interviews only to fall short on technical depth.
14 backend engineering hires needed across 6 months. Distributed systems experience required. Internal TA team in place but struggling to source passive candidates. Offer acceptance rate was below 60% due to compensation misalignment discovered late in process.
Artemis ran a parallel search across all 14 roles, segmented by specialisation. We built a compensation framework that aligned with market rates before any outreach began — eliminating late-stage offer failures entirely. Every candidate presented had distributed systems experience verified through structured technical conversations.
"Artemis changed how we think about recruiting. We stopped interviewing dozens of people and started making offers to engineers we actually wanted to hire." — VP of Engineering, Series B SaaS · San Francisco
A London fintech needed to scale their engineering team rapidly with a hard product launch deadline. No internal recruiter, no process, no time. Artemis embedded as their full recruiting function, built the process from scratch, and delivered 12 hires in 90 days.
"The RPO model gave us the horsepower we needed without the overhead of building an internal team." — CTO, London Fintech
An Australian healthtech startup needed a technical leader who could both manage a small team and contribute architecturally — a narrow profile after a six-month internal search had failed to find the right person.
"We'd been searching for six months on our own. Artemis found our engineering manager in three weeks." — CEO, Sydney Healthtech
A New York developer tools company needed two senior DevOps engineers immediately to support a critical infrastructure migration with a hard deadline. Artemis delivered a qualified shortlist in 72 hours — both engineers joined the team full-time after the project.
"We needed engineers yesterday. Artemis delivered a shortlist in 72 hours. Both joined full-time after the project." — Head of Engineering, Developer Tools Startup
A London AI company was competing against FAANG and top AI labs for ML engineering talent. Artemis leveraged passive candidate outreach and our existing ML network to identify engineers who were open to a product-facing role at a high-growth company.
"In the AI talent market, passive candidate access makes all the difference. Artemis has that network." — VP Engineering, London AI Company
Every result on this page started with a 30-minute conversation. Tell us what you're building and who you need — we'll handle the rest.