Artisan

We build AI employees. Not chatbots. Not copilots. Autonomous digital workers that do real jobs. Ava, our first, is an AI BDR used by hundreds of companies. She researches leads, writes and sends emails in the customer's voice, runs multi-step outbound sequences, manages her own deliverability infrastructure, handles replies, and books meetings. She's not a tool someone opens. She's a teammate who works while you sleep. YC W24. $35M+ raised. ~$10M ARR. Ava 2.0 just shipped. We're building the platform that replaces the sales stack, the surface area is enormous, and we move extraordinarily fast. The role You build products from end-to-end, acting as the PM, designer and engineer. You spec, design, ship, and own the outcome. The loop from "this is a problem" to "customers are using it in production" runs through one person in days, and that person is you. We're hiring Builders to move at lightening speed. You’ll be the person who understands the user, shapes the interface, and writes the code. You’ll be running multiple Claude Code instances at once and getting 10x leverage on your time. You’ll have real taste and real sales context. Review our backlog Talk to customers Decide what matters Build and ship Iterate & scale Repeat Who this is for You probably fit one of these paths: You founded something. You built the product and closed the customers. You wrote code on Sunday and pitched investors on Monday. You know what it feels like to hold the whole thing in your head, and you miss that. You're a sales engineer who can actually ship. You've spent years being the bridge between product and GTM. At some point you realized you're better at building the thing than explaining it, and the AI tooling finally caught up to let you do that at speed. You were in sales and taught yourself to code. You carried a bag, hit quota, got bored, picked up TypeScript. Now you're dangerous with Claude Code and you have strong, specific opinions about what every tool in the sales stack gets wrong. What we're actually looking for: You ship production TypeScript and React. You don't need to be a staff engineer, but you need to land features in a real codebase without hand-holding. AI tooling is a force multiplier for you, not a substitute for understanding what you're writing. You know outbound from the inside. You've sent cold emails, run sequences, and sold a product. You have taste. You care how things look and feel. You make product decisions and defend them. You don't wait to be told what to build, and you don't ship something you don't believe in. You care about the products you build, and are happy to maintain them and fix bugs. Bonus: you've launched a sales, CRM, or outbound tool that got actual users. Even a side project. Bonus: a public body of work (GitHub, X, personal site, shipped products) that makes hiring you feel obvious. Why this role You are the team. No specs sitting in a queue. No waiting on design. No engineering handoff. The fastest feedback loop possible. The leverage is real. You’ll ideate a product and it will be in the hands of thousands of users within weeks. The problems are new. You’re building components of AI employees, solving novel problems in new ways. Details San Francisco or New York, in-office 5+ days per week Reports to Jaspar, CEO US visa sponsorship available Competitive salary and meaningful equity Interview 15 minutes with our CEO, Jaspar Paid 48-hour take-home: design and ship a real feature for Ava 60-minute take-home review with our founders and an engineer 30-minute in-person chat We can go from first chat to offer in 3-5 days. Culture Founder mindset. Everyone acts like an owner. Take initiative, think big, push for 10x outcomes. Obsessed with impact. Apply 80/20, kill sunk costs, focus on what moves the needle. Customer-first, always. Every decision starts with the customer experience. High standards, every detail. Code, copy, design, Slack messages. Quality shows up everywhere or nowhere. Cl

About Artisan 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 $9M+ ARR. We just launched Ava 2.0, a step change in what an AI employee can do. The engineering problems are hard and the surface area is enormous. Role overview You'll be the bridge between Artisan and our most strategic customers - part engineer, part consultant, part trusted advisor. You'll work directly with sales, success, and product to ensure customers get maximum value from Ava. Scoping how Ava fits into each customer's GTM stack: what we replace, what we integrate with, and what the ideal workflow looks like Engineering customer-specific features and integrations across our TypeScript full-stack codebase Managing end-to-end implementation, partnering closely with customer success managers to drive adoption Traveling to customer offices for in-person discovery, scoping sessions, and onboarding Joining sales calls to provide technical credibility and help close complex deals Staying hands-on throughout the customer lifecycle - from pre-sales through expansion - ensuring customers see real, measurable ROI Feeding customer insights back to product and engineering to shape our roadmap Location: On-site in New York City or San Francisco (with frequent travel to customer sites) Team: Forward Deployed Implementation Reports to: Meghna Sharma, Forward Deployed Lead Who you are 3+ years as a forward-deployed/solutions engineer, field engineer, or full-stack engineer Strong TypeScript experience across the stack (Node.js, React, or similar frameworks) Comfortable leading technical conversations with RevOps leaders and sales teams Ideally experience integrating with CRMs, marketing automation tools, and sales tech (Salesforce, HubSpot, Outreach, etc.) You thrive in ambiguity - scoping problems, architecting solutions, and shipping them fast Excellent communication skills: you can explain complex systems to non-technical stakeholders and dive deep with engineers Willingness to travel frequently (up to 50%) to meet customers where they are Interview process Introductory chat with our recruiter 15-minute interview with Meghna, our Forward Deployed Team Lead 60-minute technical interview with our engineering team 45-minute interview with Meghna, our Forward Deployed Team Lead 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 10× 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 is made with the customer experience at the center 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 feedback Winning team energy. We bring positive vibes, low ego, zero drama, and genuinely enjoy building together

About Us 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 $9M+ ARR. We just launched Ava 2.0, a step change in what an AI employee can do. The engineering problems are hard and the surface area is enormous.' About the Role This is a unique opportunity to work on the growth team at Artisan. We’re renowned for our marketing, and you’ll help us to double down on that. In a Growth role, you’ll be responsible for building, scaling, and optimizing all levers of growth, from top-of-funnel demand generation to product-led loops, conversion optimization, and expansion. You’ll partner directly with the CEO and growth team to design and execute a growth strategy that gets Artisan from $9.5M → $25M+ ARR in the next 12 months. Growth Strategy: The full growth strategy across paid, organic, brand, and product-led motions Acquisition: Scale inbound demand through performance marketing, SEO, lifecycle marketing, virality loops, and bold stunts (think: our “Stop Hiring Humans” billboards) Conversion: Build high-converting funnels across web, product, and sales hand-off; optimize every step with data Product Growth: Drive PLG adoption - design onboarding flows, paywall moments, in-product upsell/expansion paths Brand & Community: Turn Artisan into a cult brand. Architect viral campaigns, UGC loops, and social dominance across LinkedIn, X, and beyond Analytics & Experimentation: Build the growth model, own the dashboards, and run constant experiments across every channel What You Bring 3+ years of growth/marketing experience A creative, out-of-the-box mindset A sense grit and hunger, and willingness to work hard (we often work nights and weekends) Why Join Us Report directly to and work closely with our CEO Competitive compensation and full benefits Flexibility and autonomy Collaborate with a mission-driven, ambitious, and extremely talented team Fast-moving culture where you'll ship meaningful work every week

About Artisan At Artisan, we’re building real AI employees,  not copilots, not assistants, but autonomous teammates. Our first product, Ava, is an AI BDR. She sources and researches leads, writes in your voice, runs outbound campaigns, manages deliverability infrastructure, and continuously improves her own performance. She doesn’t assist. She owns outcomes. We’ve raised $35M+ from top investors, went through Y Combinator (W24), and are already at $7M+ ARR with customers like CookUnity, Quora, and SumUp. We’re now building Ava 2.0,  pushing the frontier of what AI employees can do. The problems we’re solving are new, complex, and high leverage: how humans define, manage, and collaborate with autonomous systems. If you want to help shape what software becomes in an AI-native world, this is where you do it. About the Role As the second Product Designer at Artisan, you are responsible for outcomes, not just interfaces. You will define how users interact with AI employees: how they give direction, build trust, understand behavior, and stay in control. This is not traditional SaaS design, it’s designing a new interaction paradigm. You’ll work closely with product, engineering, and the CEO to identify the right problems, rapidly explore solutions, validate them with customers, and ship experiences that change how teams operate. Design at Artisan is AI-native and builder-led. Work often starts in an LLM exploring flows, edge cases, and behaviors — before moving into prototypes and production-ready systems. What You’ll Do Own product work end to end: define problems, explore solution spaces, validate with users, and ship features that move key metrics. Design AI-native interactions: shape how users communicate with, guide, and oversee AI employees. Start with AI: use LLMs to think through flows, edge cases, and product behavior before committing to UI. Prototype early and often: test ideas quickly, whether in code, lightweight prototypes, or Figma. Stay close to the build: work directly with engineers from idea through launch and iteration. Talk to customers constantly: use real feedback to refine direction and uncover new opportunities. Design for clarity and trust: make complex AI behavior feel intuitive, reliable, and controllable. Contribute to systems: evolve our design system and interaction patterns as the product scales. Who You Are Product-minded: you care about outcomes, not just aesthetics. High agency: you take ownership, move fast, and don’t wait for perfect direction. AI-native (or eager to be): you use tools like ChatGPT, Claude, or similar to think, design, and iterate. Detail-obsessed: you sweat the edge cases, states, and production realities. Builder: you’re comfortable getting into the weeds, whether in prototypes, systems, or implementation details. Customer-driven: you seek truth from users, not assumptions. Comfortable with ambiguity: you’re excited to design in a space where patterns don’t yet exist. 3+ years of product design experience, ideally in fast-growing SaaS or AI products. Nice to Haves Experience designing AI or agent-based workflows Comfort prototyping with code or AI-assisted tools Experience building or scaling design systems Background in high-velocity product environments Team & Logistics Location: San Francisco or New York Team: Product & Design Reports to: CPTO, Sam Stallings Interview Process Introductory chat with recruiter 45-minute conversation with Mitch (Head of Product Design) 1 hr design challenge with Mitch 30 min portfolio-run through with team + leadership Chat with Sam (CPTO) Final conversation with Jaspar (CEO) How We Work **Builder mindset ** Everyone owns problems end to end. We value initiative, speed, and decisive action. **Impact over activity ** We focus on what moves metrics. We cut what doesn’t. **AI-first ** We use AI not as a feature, but as a core way of building and thinking. **Customer obsession ** We design from real user problems, not internal assumptions. *

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 $9M+ ARR. We just launched 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 The Artisan product has a HUGE surface area. An autonomous AI BDR, a database of 400M+ leads, intent signals, a dialer, enrichments, etc. We replace and automate companies’ entire GTM stacks. This year we’re doubling down on GTM with two new Artisans and massively broadening the scope of the product to enable our users to see more value. You'll own product areas across the Artisan platform. This is a role where you'll define what we build, drive execution with engineering and design, and be accountable for outcomes and metrics. What that looks like concretely: PMs at Artisan do a mixture of product, design and vibe coding. You’ll spend much of your day in Claude, Notion and Figma, owning products from inception through to scale You’ll vibe code prototypes for features, get feedback from customers and iterate before handing off to design (or sometimes straight to engineering) You pull signal from support tickets, sales conversations, usage data, session recordings, and direct customer feedback. You synthesize all of that into what we build next and what we don't You’ll use Claude to write comprehensive PRDs for design and engineering You’ll work with design to annotate everything before handing features off to engineering You’ll own help center articles, product documentation, adoption and product marketing related to features you build We move fast and the backlog is always bigger than the team. You classify work by urgency and impact, manage the sprint, and make hard calls Who You Are You’re a 10x PM who’s Claude-pilled You’re excited to be hands-on with prototyping You’re excited to work at Artisan and are happy sometimes working nights and weekends You understand APIs, data models, and system architecture well enough to have real conversations with engineers and make informed trade-offs You default to data. You're comfortable with product analytics, A/B tests, and using metrics to validate decisions rather than opinions High agency and low ego. You don't wait to be told what to do. You identify the highest-leverage problem and go after it Comfortable with ambiguity. We're defining new product categories where there's no playbook. You find that exciting, not stressful You put the customer and customer outcomes above all else Why This Role You're building the product 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 product bar is high because when the AI gets it wrong, a real person's reputation is on the line. The surface area is huge. A lead database of hundreds of millions of people. An AI messaging engine. A multi-channel campaign orchestrator. A CRM. A dialer. An inbox with autonomous reply handling. Intent signals. A billing system. You won't get bored. You'll define the practice, not just execute it. This is an early-stage product team where you'll shape how we spec, ship, and iterate. Your decisions will set the standard for how the product org operates as we scale. Competitive salary + meaningful equity. We compensate for impact. Interview Process Introductory chat with our recruiter 30-minute interview with Jaspar, our CEO Take-home product exercise (real Artisan problem, not busywork) 45-minute product

About Artisan 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 $9M+ ARR. We just launched Ava 2.0, a step change in what an AI employee can do. The engineering problems are hard and the surface area is enormous. Role overview You'll be the first Data Engineer on the Artisan team! We're managing a database of hundreds of millions of leads and creating real-time intent signals which monitor data fields for those leads. You'll own everything data-related at Artisan. Design, build, and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data Manage ingestion from third-party APIs, internal systems, and customer datasets Develop and maintain data models, data schemas, and storage systems optimized for ML and product performance Collaborate with ML engineers to prepare model-ready datasets, embeddings, feature stores, and evaluation data Implement data quality monitoring, validation, and observability Work closely with product engineers to support new features that rely on complex data flows Optimize systems for performance, cost, and reliability Contribute to early architecture decisions, infrastructure design, and best practices for data governance Build tooling that enables the entire team to access clean, well-structured data Location: San Francisco, New York, or Remote USA Team: Engineering Reports to: CPTO, Sam Stallings Who you are 3+ years of experience as a Data Engineer Proficiency in Python, SQL, and modern data tooling (dbt, Airflow, Dagster, or similar) Comfort working in fast, ambiguous environments Experience designing and operating ETL/ELT pipelines in production Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with data lakes, warehouses, and vector databases Experience integrating APIs and working with semi-structured data (JSON, logs, event streams) Strong understanding of data modeling and optimization Bonus: experience supporting LLMs, embeddings, or ML training pipelines Bonus: startup experience Interview process Introductory chat with our recruiter 1 hour technical interview with an engineer 1 hour technical interview with an engineer 30-minute interview with Sam, our CPTO 15-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 10× 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 is made with the customer experience at the center 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 feedback Winning team energy. We bring positive vibes, low ego, zero drama, and genuinely enjoy building together

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 $9M+ ARR. We just launched 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: 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. Who You Are 6+ years of experience in DevOps, SRE, or infrastructure engineering, with a track record of owning production systems end to end 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 supp

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 $9M+ ARR. We just launched 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 Work You'll build the backend that makes AI employees possible. Concretely: High-throughput AI orchestration. Ava processes millions of signals - lead data, email engagement, deliverability metrics, behavioral patterns - to make autonomous decisions. You'll build the services and pipelines that make this fast, reliable, and correct. Platform infrastructure. Artisan replaces an entire sales stack. That means email infrastructure, CRM, lead database, campaign engine, inbox management, and AI coordination - all in one product. You'll own real pieces of this. High ownership, shipping, end to end. Design it, build it, deploy it, monitor it. We don't have separate teams for "architecture" and "implementation." You own the outcome. Moving and iterating very fast. You’ll constantly be shipping. We have a completely flat engineering org, so you won’t run into red tape. Our stack: TypeScript/Node, PostgreSQL, Redis, Kubernetes, Mastra, Temporal, Langfuse, ECS, EC2, deployed on AWS. We release constantly. Who We're Looking For 6+ years of backend experience, ideally at a high-growth startup where you owned systems. A 5x engineer who knows how to leverage Claude Code effectively. You've built and operated data-intensive services at scale - you understand distributed systems, database performance, API design, and what it takes to keep things running. Comfortable with cloud-native infrastructure: containers, orchestration, CI/CD, monitoring. You don't throw code over a wall. Strong opinions on reliability, observability, and testing - but pragmatic about when to move fast. Clear communicator. Can explain a system design to an engineer or a product lead with equal clarity. TypeScript/Node preferred. If your background is Python, Go, or similar that's fine if the fundamentals are strong. Why This Role The problem is genuinely interesting. Autonomous AI agents that interact with real people, manage real infrastructure, and make real decisions - the backend complexity here is non-trivial and growing fast. You'll have real ownership. Small team, large scope. The systems you build will directly power the product customers use. No layers of abstraction between you and impact. The pace is high and the bar is higher. We ship weekly, iterate constantly, and every engineer drives outcomes. Compensation reflects that. Competitive salary + meaningful equity in a company with real revenue, real traction, and a clear path to a major outcome. Details Full-time, in-person: San Francisco or NYC Remote considered in rare circumstances

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. Key Responsibilities Firefighting: We are growing extremely fast and new issues are always arising - your role will be to diagnose novel problems across the org, create strategies to solve them, an execute. This role will evolve hugely over time as the company scales - you’ll be a Swiss Army Knife wherever you’re needed. Revenue Operations: Streamline processes, improve efficiency, and implement effective revenue operations strategies. Product Operations: Support the product team in managing the product lifecycle, coordinating user interviews, and ensuring smooth product operations. Data Analysis & Reporting: Create Tableau dashboards using our data from our database for different business function teams. System & Process Development: Work with department leads to implement new systems and SOPs to ensure operational excellence. About You 3-4 years of experience in a similar operations role at a fast-growing startup or consulting firm. Strong organizational and time management skills. Experience with Tableau, SQL, and other key data analysis tools. Experience across a broad range of operational functions, with top-of-cohort performance. Ready to work hard to execute our mission - this isn’t a traditional 9-5. Excited about Artisan. Happy to work in-office in Russian Hill. Benefits Full-coverage medical, dental & vision insurance. Equity options. Company off-sites and events. Food & drinks provided in-office.

About Artisan 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 $9M+ ARR. We just launched Ava 2.0, a step change in what an AI employee can do. The engineering problems are hard and the surface area is enormous. Role overview You'll be the third Applied AI engineer on the Artisan team! We're pushing the boundaries of what's possible with AI employees, and you'll play a key role in our product direction. Evaluating LLMs, choosing the right models for the right tasks, balancing cost, latency, reliability, and accuracy Architecting prompt frameworks and agent behaviors for Ava’s core workflows: email generation, chat interaction, meeting scheduling, prospect research, and more Optimizing multi-step agent chains using retrieval-augmented generation (RAG), web search integrations, and tool use (e.g. CRMs, calendars, APIs) Driving infrastructure choices for routing, orchestration, eval loops, and persistent memory across agents Building safety, trust, and controls into agents, partnering with product to design user guardrails, fail-safes, and success metrics Exploring and deploying emerging modalities from voice AI and talking head technology to multi-modal reasoning - and figuring out how they make Ava more human-like Designing agent workflows that make strategic decisions, self-optimize and adapt in real time, and deliver measurable outcomes autonomously Location: San Francisco, New York, or Remote USA Team: AI Reports to: CPTO, Sam Stallings Who you are 2+ years shipping real AI products in production - either at an app-layer AI startup or on a foundation model team Deep hands-on experience with agents, function calling, RAG pipelines, or self-healing workflows (LangChain, ReAct, Dust, OpenAI Tools, etc) Strong background in prompt design, chaining, and retrieval systems (experience with OpenAI’s RAG + web search tools or equivalents is a major plus) Experience owning latency, reliability, and cost of LLM-powered systems in production Ability to think like a researcher but ship like an engineer, exploring novel techniques and getting them into users’ hands quickly Excellent communication skills Interview process Introductory chat with our recruiter 15-minute interview with Jaspar, our CEO Take home assignment 30-minute take home assignment review 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 10× 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 is made with the customer experience at the center 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 feedback Winning team energy. We bring positive vibes, low ego, zero drama, and genuinely enjoy building together

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 isn't a single product. It's an entire working platform that replaces the sales stack. That means CRM, inbox, dialer, lead database, campaign engine, website visitor tracking, and AI agent management, all in one product. The frontend is where all of this comes together for the user. The design bar is high. We build dense, information-rich interfaces with calm clarity. Think Ramp, not Salesforce. Every view needs to surface the right data without visual noise, handle complex workflows without feeling complex, and make working alongside an AI employee feel natural. You'll own the frontend architecture and set the standard for how Artisan is built on the client side. This is a staff-level role. You won't just ship features. You'll define how the team builds UI. What that looks like concretely: Multi-product frontend architecture. Artisan ships dozens of products as a unified platform. You'll build and maintain the component systems, routing, state management, and shared infrastructure that make this feel like one product, not seven. Real-time, data-dense interfaces. Users manage thousands of leads, monitor live AI activity, review email sequences, and track campaign performance. The UI needs to render large datasets performantly, update in real time, and remain usable at scale. Tables, filters, search, dashboards, activity feeds. This is the core of the product experience. AI-native interaction patterns. Users work alongside Ava as a teammate. That means designing and building interfaces for AI transparency (what is Ava doing and why), human-in-the-loop controls, confidence indicators, and workflows where human and AI actions interleave. There's no established playbook for this. You'll help create one. Design system and component library. Build and maintain a design system that enforces consistency, accelerates development, and scales across the product suite. Tight collaboration with design to translate Figma specs into production components. Performance and quality. Fast initial loads, smooth interactions, minimal layout shift, accessible markup. The product is used all day by salespeople who live in it. Performance is a feature. Developer experience. Build frontend tooling, patterns, and conventions that make other engineers faster. Code review, mentorship, documentation. You raise the bar for the whole frontend codebase. Our stack: TypeScript, React, deployed on AWS. We ship constantly. Who You Are 6+ years of frontend engineering experience, with a track record of building complex, data-rich web applications Deep expertise in TypeScript and React. You don't just use them. You understand the internals, the tradeoffs, and the patterns that scale. Strong experience with state management, performance optimization, and rendering large datasets in the browser You've built or maintained design systems and component libraries used across multiple product surfaces An eye for design quality. You care about spacing, alignment, typography, and interaction polish. You can take a Figma file and ship something that matches it exactly, or push back on design when something won't work in practice. Experience with real-time data (WebSockets, polling, optimistic updates) and complex form/table UIs Opinions on frontend architecture, testin