At Artisan, we're creating AI Employees, called Artisans, and software which is beautiful, easy to use, and replaces the endless stack of point solutions.
We're starting with outbound sales. Our…
At Artisan, we're creating AI Employees, called Artisans, and software which is beautiful, easy to use, and replaces the endless stack of point solutions.
We're starting with outbound sales. Our…
What they build: Autonomous AI "employees" for outbound sales (AI BDR/SDR named Ava) and related workflows
Founded: 2023
Headquarters: San Francisco
Recent funding: $25M Series A (Apr 2025)
Notable investors: Glade Brook Capital, Y Combinator, HubSpot Ventures, Oliver Jung
Company Overview
Problem Domain
Sales automation / AI-driven outbound lead generation and SDR workflows
Founded
2023
Industry
Software Development
Funding Track Record
Seed
$11.5M
Seed round included participation from HubSpot Ventures, Y Combinator, Day One Ventures, Sequoia Scout, Soma Capital, BOND Capital, Fellows Fund and others
Series A- April 9, 2025
$25M
Series A participants included Y Combinator, Day One Ventures, HubSpot Ventures and others
Founders
What we do
Join the Team
Staff Devops Engineer
On-SiteSan Francisco Bay Area, US
On-Site • San Francisco Bay Area, US
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What Artisan Is
We're building AI employees. Not chatbots. Not copilots. Autonomous digital workers that do real jobs.
Our first, Ava, is an AI BDR used by hundreds of companies. She researches leads, writes and sends emails in a customer's voice, runs multi-step outbound sequences, manages her own deliverability infrastructure, self-optimizes over time, and handles objections and meeting booking. She's not a tool someone uses. She's a teammate.
We're a YC W24 company, have raised $35M+ from investors including Y Combinator, and are at $8M+ ARR. Right now we're building Ava 2.0, a step change in what an AI employee can do. The engineering problems are hard and the surface area is enormous.
The Role
Artisan runs a platform that manages hundreds of millions of leads, orchestrates autonomous AI agents in real time, sends email at massive scale across thousands of customer mailboxes, and serves a product suite that replaces an entire sales stack (CRM, inbox, dialer, lead database, campaign engine). The infrastructure that makes all of this work reliably is the job.
You'll own the full DevOps and infrastructure layer at Artisan. This is a staff-level role where you'll set the foundation, define the practices, and build the systems that everything else depends on.
What that looks like concretely:
Who You Are
6+ years of experience in DevOps, SRE, or infrastructure engineering, with a track record of owning production systems end to end
Why This Role
You're building the infrastructure layer for AI employees.
This isn't a standard SaaS platform. Ava makes autonomous decisions, sends real emails to real people, and operates 24/7 on behalf of customers. The reliability bar is high because the AI doesn't stop working at 6pm.
The surface area is huge.
Email infrastructure, real-time AI orchestration, a database of hundreds of millions of leads, data pipelines, a multi-product platform. You won't get bored.
You'll define the practice, not just execute it.
This is a staff-level hire where you'll set the standards for how Artisan builds, deploys, monitors, and secures its infrastructure. Your decisions will shape how the engineering team operates for years.
Competitive salary + meaningful equity. We compensate for impact.
Details
Location: San Francisco, New York, or Remote (US)
Team: Engineering
Reports to: Sam Stallings, CPTO
Interview Process
Introductory chat with our recruiter
45-minute technical interview with an engineer
Second 45-minute technical interview with an engineer
30-minute interview with Sam, our CPTO
30-minute culture and values interview with Jaspar, our CEO
Our Culture and Values
Founder mindset.
Everyone acts like an owner: take initiative, think big, challenge ideas, and push for 10x outcomes.
Obsessed with impact.
We apply the 80/20 rule, kill sunk costs quickly, and focus on what actually moves the needle.
Customer-first, always.
Every decision starts with the customer experience.
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Kubernetes and container orchestration.
We run on AWS with Kubernetes at the core. You'll own cluster management, scaling policies, resource optimization, and the overall compute layer that serves AI workloads, data pipelines, and customer-facing product infrastructure.
CI/CD and deployment pipelines.
We ship constantly. You'll build and maintain the deployment infrastructure that lets engineers release with confidence, multiple times a day. Automated testing, staging environments, rollback strategies, feature flags.
Observability and reliability.
Monitoring, alerting, logging, tracing. When an AI agent fails to send an email or a pipeline stalls on lead enrichment, the team needs to know immediately and understand why. You'll build the observability layer from the ground up.
Email deliverability infrastructure.
Ava sends email at scale across thousands of domains and mailboxes. Sender reputation, domain warming, DNS configuration, IP management. The infrastructure layer here is non-trivial and directly impacts customer outcomes.
Security and compliance.
We handle customer data, email credentials, and business-critical workflows. You'll own security posture across the stack: secrets management, access controls, network policies, vulnerability scanning, and SOC 2 readiness.
Cost optimization.
AI workloads and data-intensive pipelines at our scale generate real cloud bills. You'll architect for efficiency, right-size infrastructure, and build visibility into where spend goes and why.
Developer experience.
The best infrastructure is the kind engineers don't have to think about. Local development environments, fast builds, reliable deploys, clear documentation. You'll make the whole team faster.
Deep expertise with Kubernetes, container orchestration, and cloud-native architecture on AWS
Strong CI/CD experience: you've built pipelines that teams actually trust and use daily
Fluent in infrastructure-as-code (Terraform, Pulumi, or equivalent) and GitOps workflows
Solid understanding of networking, DNS, load balancing, and security fundamentals
Experience with monitoring and observability tooling (Datadog, Grafana, Prometheus, or similar)
Comfortable scripting in Python, Bash, or Go for automation and tooling
Experience operating databases in production (PostgreSQL, Redis, or similar)
Strong opinions on reliability, incident response, and on-call practices, but pragmatic about when to move fast
Bonus: experience with email infrastructure at scale (deliverability, domain/IP management, SMTP)
Bonus: experience supporting ML/AI workloads in production
Bonus: startup experience where you built the infrastructure function from scratch
High standards, every detail.
Quality matters in everything we ship, from product and code to copy and design.
Clear, direct communication.
We value candor, fast responses, and real feedback.
Winning team energy.
Positive vibes, low ego, zero drama. We genuinely enjoy building together.
