Growth ML & Experimentation Engineer

About Us

At Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.

We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.

About the Role

We're not just shipping AI products—we're building ones that learn and improve autonomously. We’re looking for a Growth ML & Experimentation Engineer to build Ava’s adaptive growth brain: systems that run millions of microtests and optimize outbound performance across companies, personas, and industries.

Think of this role as creating the “growth hacker” mind inside our AI BDR—combining A/B testing, reinforcement learning, and control systems at scale.

You’ll be building an AI that adapts itself to every persona, every market, and every trend—without needing to be told. This isn’t growth hacking for a website. It’s evolution for an AI employee.

What You'll Do

• Design and implement automated experimentation systems (A/Z testing, multivariate optimization, Bayesian exploration, etc).

• Build dynamic systems that continuously learn from open/response rates, meetings booked, and downstream metrics.
  

• Create reinforcement loops and scoring models to help Ava adjust tone, targeting, and strategies in real-time.
  

• Work closely with product to embed experimentation directly into the AI-user experience.
  

• Develop tools to visualize and interpret campaign intelligence for internal teams and end users.

What You Bring

• 3–6+ years of experience in applied ML, ideally focused on growth, optimization, or adaptive systems.

• Experience with online experimentation frameworks (A/B testing infra, bandits, causal inference, etc).
  

• Strong Python and data engineering skills; comfortable working across pipelines, APIs, and backend systems.
  

• Experience working with outbound or marketing funnel data is a major plus.
  

• Passion for building intelligent systems that get better every day, without human micromanagement.

Why Join Us

• Build the future of work by pioneering a new AI-native product category.

• Collaborate with a mission-driven, ambitious, and high-caliber team.

• Competitive salary, generous equity, and full benefits.

• Regular company off-sites and team events.

• Fast-moving culture where you'll ship meaningful work every week.