Artisan · Full-time · In person in San Francisco or New York
Salary: $130,000–$180,000 USD annually. Equity: 0.05%–0.15%. Existing US work authorization required. Customer travel up to 50%.
Artisan builds AI employees that take on real work. Putting an AI employee to work across a large sales organization takes careful system design: territories, account ownership, CRM data, messaging, permissions, and the people responsible for each part all have to fit together.
You'll own that deployment for our largest customers. You'll work with sales leadership, RevOps, IT, and legal to design the operating model, get it live, and improve the pipeline it produces. Expect to work deeply with a handful of accounts over quarters.
This role combines GTM judgment, systems thinking, and hands-on customer ownership. You'll make consequential decisions and stay close enough to the work to see whether they hold up after the pilot.
Design each customer's GTM system: segmentation, ICPs, account books, scoring, and campaign priorities across divisions and regions.
Build the intent signal strategy, including custom AI signals. Assess signal frequency, usefulness, and cost before committing to a program.
Define how autonomous outbound operates: suppression rules, approvals, team libraries, manager controls, and which actions require human review.
Own deployment across CRM integration, data hygiene, sending infrastructure, deliverability, knowledge, and messaging. Plan a rollout that can expand from a pilot to the wider organization.
Work through security review, procurement, data processing requirements, and regional constraints with the right customer stakeholders.
Own account performance. Review pipeline by campaign and team, investigate weak results, and change the program before the customer has to ask.
Lead on-site discovery, scoping, rollout workshops, and executive reviews. Build agreement across stakeholders with different priorities.
Partner with sales on large opportunities and stay involved through deployment and expansion. Help customers make a sound plan for replacing existing tools where Artisan fits.
Bring specific customer problems back to product and engineering and help shape the enterprise roadmap.
You have at least three years in GTM engineering, RevOps, sales strategy, or enterprise solutions consulting, with depth in complex sales organizations.
You've deployed a system into an organization with hundreds of sellers. You understand territories, competing ICPs, regional differences, and the work required to get adoption beyond a pilot team.
You've owned a pipeline result and can explain the decisions that improved it, including programs that failed.
You're comfortable with CRM object models, field quality, role hierarchies, sync conflicts, and account ownership rules.
You can work credibly with a CRO, a RevOps leader, and engineers. You can challenge an assumption clearly and build agreement among people who don't report to you.
You can turn an unclear customer problem into a system design and a practical rollout plan, then remain accountable for the result.
You're willing to travel to customer sites frequently, up to 50% of your time.
Hands-on experience with Salesforce, Outreach, Salesloft, ZoomInfo, Clay, 6sense, or similar systems would be valuable. SQL and light scripting are useful, but the core of this role is designing and operating the customer's GTM system.
This role is based in our San Francisco or New York office and reports to Meghna Sharma, our Forward Deployed Lead. Expect direct communication, close work with customers and engineers, and high standards for what happens after go-live.
You'll have substantial ownership over your accounts. We value people who identify problems early, make clear recommendations, and follow through on the details.
An introductory conversation.
A 30-minute interview with Meghna.
A 60-minute working session: design a rollout for a real enterprise scenario.
A 45-minute interview with Meghna.
A 30-minute culture and values conversation with Jaspar, our CEO.
Artisan builds AI employees that take on real work. Our first three are Ava, our outbound AI BDR; Aaron, our inbound AI SDR; and Aria, our AI account executive. Our broader mission is to build AI employees that can take responsibility for work across many roles and industries.
","descriptionPlain":"Artisan · Full-time · In person in San Francisco or New York\n\nSalary: $130,000–$180,000 USD annually. Equity: 0.05%–0.15%. Existing US work authorization required. Customer travel up to 50%.\n\n\nMAKE AI EMPLOYEES WORK INSIDE COMPLEX ORGANIZATIONS\n\nArtisan builds AI employees that take on real work. Putting an AI employee to work across a large sales organization takes careful system design: territories, account ownership, CRM data, messaging, permissions, and the people responsible for each part all have to fit together.\n\nYou'll own that deployment for our largest customers. You'll work with sales leadership, RevOps, IT, and legal to design the operating model, get it live, and improve the pipeline it produces. Expect to work deeply with a handful of accounts over quarters.\n\nThis role combines GTM judgment, systems thinking, and hands-on customer ownership. You'll make consequential decisions and stay close enough to the work to see whether they hold up after the pilot.\n\n\nWHAT YOU'LL OWN\n\n - Design each customer's GTM system: segmentation, ICPs, account books, scoring, and campaign priorities across divisions and regions.\n\n - Build the intent signal strategy, including custom AI signals. Assess signal frequency, usefulness, and cost before committing to a program.\n\n - Define how autonomous outbound operates: suppression rules, approvals, team libraries, manager controls, and which actions require human review.\n\n - Own deployment across CRM integration, data hygiene, sending infrastructure, deliverability, knowledge, and messaging. Plan a rollout that can expand from a pilot to the wider organization.\n\n - Work through security review, procurement, data processing requirements, and regional constraints with the right customer stakeholders.\n\n - Own account performance. Review pipeline by campaign and team, investigate weak results, and change the program before the customer has to ask.\n\n - Lead on-site discovery, scoping, rollout workshops, and executive reviews. Build agreement across stakeholders with different priorities.\n\n - Partner with sales on large opportunities and stay involved through deployment and expansion. Help customers make a sound plan for replacing existing tools where Artisan fits.\n\n - Bring specific customer problems back to product and engineering and help shape the enterprise roadmap.\n\n\nWHAT WE'RE LOOKING FOR\n\n - You have at least three years in GTM engineering, RevOps, sales strategy, or enterprise solutions consulting, with depth in complex sales organizations.\n\n - You've deployed a system into an organization with hundreds of sellers. You understand territories, competing ICPs, regional differences, and the work required to get adoption beyond a pilot team.\n\n - You've owned a pipeline result and can explain the decisions that improved it, including programs that failed.\n\n - You're comfortable with CRM object models, field quality, role hierarchies, sync conflicts, and account ownership rules.\n\n - You can work credibly with a CRO, a RevOps leader, and engineers. You can challenge an assumption clearly and build agreement among people who don't report to you.\n\n - You can turn an unclear customer problem into a system design and a practical rollout plan, then remain accountable for the result.\n\n - You're willing to travel to customer sites frequently, up to 50% of your time.\n\n\nUSEFUL ADDITIONAL EXPERIENCE\n\nHands-on experience with Salesforce, Outreach, Salesloft, ZoomInfo, Clay, 6sense, or similar systems would be valuable. SQL and light scripting are useful, but the core of this role is designing and operating the customer's GTM system.\n\n\nHOW WE WORK\n\nThis role is based in our San Francisco or New York office and reports to Meghna Sharma, our Forward Deployed Lead. Expect direct communication, close work with customers and engineers, and high standards for what happens after go-live.\n\nYou'll have substantial ownership over your accounts. We value people who identify problems early, make clear recommendations, and follow through on the details.\n\n\nINTERVIEW PROCESS\n\n 1. An introductory conversation.\n\n 2. A 30-minute interview with Meghna.\n\n 3. A 60-minute working session: design a rollout for a real enterprise scenario.\n\n 4. A 45-minute interview with Meghna.\n\n 5. A 30-minute culture and values conversation with Jaspar, our CEO.\n\n\nABOUT ARTISAN\n\nArtisan builds AI employees that take on real work. Our first three are Ava, our outbound AI BDR; Aaron, our inbound AI SDR; and Aria, our AI account executive. Our broader mission is to build AI employees that can take responsibility for work across many roles and industries.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"f144b2bb-fc0c-46da-8133-3483aee320dc","title":"Founding Growth Marketer","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-02T20:19:05.786+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/artisan/f144b2bb-fc0c-46da-8133-3483aee320dc","applyUrl":"https://jobs.ashbyhq.com/artisan/f144b2bb-fc0c-46da-8133-3483aee320dc/application","descriptionHtml":"Artisan · Full-time · In person in San Francisco
Salary: $120,000–$190,000 USD annually. Equity: 0.10%–0.15%. Existing US work authorization required.
Artisan builds AI employees that take on real work. We've built a recognizable brand through campaigns, billboards, and launches. Now we're hiring our first full-time marketer to build the channels that consistently bring customers to us.
You'll work directly with our CEO and Chief of Staff, with broad ownership across acquisition, lifecycle, our website, and product launches. You'll decide what to test, do the work, and use the results to decide where we invest next.
This is a hands-on role. You should enjoy writing the campaign, building the page, finding the problem in the funnel, and fixing it. There's substantial room to make your mark, and we expect the work to ship every week.
Build SEO and AEO into dependable acquisition channels. Understand what buyers search for, publish work worth reading, and measure whether it brings the right people to us.
Run paid search and paid social, from creative and targeting through launch, testing, and performance reporting.
Own lifecycle email across trial nurture, onboarding, and expansion. Match the message to what the customer is trying to do.
Improve artisan.co with our design and front-end partners. Build landing pages, launch pages, and experiments that improve the path from first visit to booked demo.
Run product and feature launches across the website, email, paid channels, and launch day. Keep the work coordinated and the message clear.
Evaluate and execute podcast, newsletter, and event sponsorships. Know what we spent, what came back, and whether to do it again.
Build useful channel reporting and turn it into decisions. Stop weak experiments, investigate surprises, and invest more in what earns it.
Our CEO and Chief of Staff lead brand concepts and major creative campaigns. You'll turn those ideas into shipped work and build the acquisition and lifecycle programs around them.
You have at least two years of hands-on growth or performance marketing experience at a B2B SaaS company.
You have real depth in at least two of SEO/AEO, paid acquisition, and lifecycle email. You can explain campaigns you personally ran and the results they produced.
You've owned launches from planning through execution. You're comfortable doing the work yourself and coordinating partners when needed.
You can pull your own numbers, investigate funnel performance, and distinguish a promising result from a misleading metric.
You bring creative ideas and can turn them into clear copy, strong campaigns, and practical tests.
You can prioritize an ambiguous backlog, communicate directly, and take responsibility when something misses the mark.
We're interested in demonstrated judgment and execution. Be ready to walk through a channel you improved, the decisions you made, and what you'd do differently now.
This role is based in San Francisco. Expect close work with our CEO and Chief of Staff, short feedback cycles, and high standards for both the idea and the execution. The pace is demanding, and the team often works nights and weekends.
You'll have broad autonomy and direct access to the people making product and company decisions. We offer competitive compensation, equity, and full benefits.
Tell us about a growth program you personally owned. Include the starting point, what you changed, and the result. Links to campaigns, pages, or content are welcome; confidential metrics can be discussed without sharing proprietary material.
Artisan builds AI employees that take on real work. Our first three are Ava, our outbound AI BDR; Aaron, our inbound AI SDR; and Aria, our AI account executive. Our broader mission is to build AI employees that can take responsibility for work across many roles and industries.
","descriptionPlain":"Artisan · Full-time · In person in San Francisco\n\nSalary: $120,000–$190,000 USD annually. Equity: 0.10%–0.15%. Existing US work authorization required.\n\n\nBUILD THE GROWTH ENGINE FOR AN AI EMPLOYEE COMPANY\n\nArtisan builds AI employees that take on real work. We've built a recognizable brand through campaigns, billboards, and launches. Now we're hiring our first full-time marketer to build the channels that consistently bring customers to us.\n\nYou'll work directly with our CEO and Chief of Staff, with broad ownership across acquisition, lifecycle, our website, and product launches. You'll decide what to test, do the work, and use the results to decide where we invest next.\n\nThis is a hands-on role. You should enjoy writing the campaign, building the page, finding the problem in the funnel, and fixing it. There's substantial room to make your mark, and we expect the work to ship every week.\n\n\nWHAT YOU'LL OWN\n\n - Build SEO and AEO into dependable acquisition channels. Understand what buyers search for, publish work worth reading, and measure whether it brings the right people to us.\n\n - Run paid search and paid social, from creative and targeting through launch, testing, and performance reporting.\n\n - Own lifecycle email across trial nurture, onboarding, and expansion. Match the message to what the customer is trying to do.\n\n - Improve artisan.co http://artisan.co with our design and front-end partners. Build landing pages, launch pages, and experiments that improve the path from first visit to booked demo.\n\n - Run product and feature launches across the website, email, paid channels, and launch day. Keep the work coordinated and the message clear.\n\n - Evaluate and execute podcast, newsletter, and event sponsorships. Know what we spent, what came back, and whether to do it again.\n\n - Build useful channel reporting and turn it into decisions. Stop weak experiments, investigate surprises, and invest more in what earns it.\n\nOur CEO and Chief of Staff lead brand concepts and major creative campaigns. You'll turn those ideas into shipped work and build the acquisition and lifecycle programs around them.\n\n\nWHAT WE'RE LOOKING FOR\n\n - You have at least two years of hands-on growth or performance marketing experience at a B2B SaaS company.\n\n - You have real depth in at least two of SEO/AEO, paid acquisition, and lifecycle email. You can explain campaigns you personally ran and the results they produced.\n\n - You've owned launches from planning through execution. You're comfortable doing the work yourself and coordinating partners when needed.\n\n - You can pull your own numbers, investigate funnel performance, and distinguish a promising result from a misleading metric.\n\n - You bring creative ideas and can turn them into clear copy, strong campaigns, and practical tests.\n\n - You can prioritize an ambiguous backlog, communicate directly, and take responsibility when something misses the mark.\n\nWe're interested in demonstrated judgment and execution. Be ready to walk through a channel you improved, the decisions you made, and what you'd do differently now.\n\n\nHOW WE WORK\n\nThis role is based in San Francisco. Expect close work with our CEO and Chief of Staff, short feedback cycles, and high standards for both the idea and the execution. The pace is demanding, and the team often works nights and weekends.\n\nYou'll have broad autonomy and direct access to the people making product and company decisions. We offer competitive compensation, equity, and full benefits.\n\n\nWHEN YOU APPLY\n\nTell us about a growth program you personally owned. Include the starting point, what you changed, and the result. Links to campaigns, pages, or content are welcome; confidential metrics can be discussed without sharing proprietary material.\n\n\nABOUT ARTISAN\n\nArtisan builds AI employees that take on real work. Our first three are Ava, our outbound AI BDR; Aaron, our inbound AI SDR; and Aria, our AI account executive. Our broader mission is to build AI employees that can take responsibility for work across many roles and industries.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"53a7d285-8969-48fe-9847-4b5a5774e48d","title":"Builder","department":"Engineering ","team":"Engineering ","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-09-13T01:36:58.466+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/artisan/53a7d285-8969-48fe-9847-4b5a5774e48d","applyUrl":"https://jobs.ashbyhq.com/artisan/53a7d285-8969-48fe-9847-4b5a5774e48d/application","descriptionHtml":"Artisan · Full-time · In person in San Francisco or New York
Salary: $130,000–$230,000 USD annually. Equity: 0.08%–0.20%. US visa sponsorship available.
Artisan builds AI employees that take on real work. We're looking for Builders who can understand a customer problem, decide what the product should do, design the experience, and ship the code.
You'll own that whole process. You'll work directly with our CEO, Jaspar, and use your product judgment, design taste, and engineering ability to turn an unclear problem into something customers can use. Our ambition gives you plenty to build. Your judgment determines what deserves to ship first.
You should enjoy the responsibility that comes with that freedom. We expect you to make decisions, test them with customers, and stay accountable for the product after launch.
Talk to customers, study how they work, and identify problems worth solving. Bring a clear view of what matters and why.
Shape the product: write the spec, design the interface, make the tradeoffs, and keep the scope focused enough to ship quickly.
Build and ship production features in TypeScript and React. Use AI coding tools to move faster while understanding, reviewing, and testing the code you release.
Follow the result through to actual use. Watch where customers struggle, investigate failures, and improve the experience.
Maintain what you build. Fix bugs, handle edge cases, and make the system easier for the next engineer to understand.
Work closely with the rest of the team when your product touches shared infrastructure, AI behavior, or customer workflows.
You've personally taken a product or substantial feature from an idea to production. You can explain the customer problem, your decisions, and what happened after launch.
You can ship TypeScript and React in an existing codebase without constant direction. You understand the code well enough to debug it when AI tooling gets something wrong.
You have strong product and design judgment. You care about how an interface works as well as how it looks.
You know outbound sales from experience: researching prospects, sending campaigns, handling replies, and selling a product. You can spot where the tools get in the way.
You take initiative and can defend a product decision, hear criticism, and change course when the evidence calls for it.
You move quickly and take responsibility for quality, maintenance, and the customer outcome.
You may have founded a company, worked as a sales engineer, or moved from sales into building software. Those are useful paths into this role. The strongest evidence is work you've shipped and can explain in detail.
A sales, CRM, or outbound product with real users would be valuable. So would a public body of work: shipped products, a GitHub repository, or a technical write-up that shows how you think and build.
This role is based in our San Francisco or New York office, in person five or more days per week, and reports to Jaspar. Expect a small team, short feedback cycles, direct communication, and high standards.
You'll have substantial freedom to choose an approach and the responsibility to make it work. We value people who surface problems early, share useful feedback, and care about the details of what they ship.
A 15-minute conversation with Jaspar.
A paid, 48-hour take-home: design and ship a real feature for Ava.
A 60-minute review with our founders and an engineer.
A 30-minute conversation in person.
We can move from first conversation to offer in three to five days. When applying, share a product you personally built and explain what you owned.
Artisan builds AI employees that take on real work. Our first three are Ava, our outbound AI BDR; Aaron, our inbound AI SDR; and Aria, our AI account executive. Our broader mission is to build AI employees that can take responsibility for work across many roles and industries.
","descriptionPlain":"Artisan · Full-time · In person in San Francisco or New York\n\nSalary: $130,000–$230,000 USD annually. Equity: 0.08%–0.20%. US visa sponsorship available.\n\n\nBUILD AI PRODUCTS FROM THE FIRST IDEA TO PRODUCTION\n\nArtisan builds AI employees that take on real work. We're looking for Builders who can understand a customer problem, decide what the product should do, design the experience, and ship the code.\n\nYou'll own that whole process. You'll work directly with our CEO, Jaspar, and use your product judgment, design taste, and engineering ability to turn an unclear problem into something customers can use. Our ambition gives you plenty to build. Your judgment determines what deserves to ship first.\n\nYou should enjoy the responsibility that comes with that freedom. We expect you to make decisions, test them with customers, and stay accountable for the product after launch.\n\n\nWHAT YOU'LL OWN\n\n - Talk to customers, study how they work, and identify problems worth solving. Bring a clear view of what matters and why.\n\n - Shape the product: write the spec, design the interface, make the tradeoffs, and keep the scope focused enough to ship quickly.\n\n - Build and ship production features in TypeScript and React. Use AI coding tools to move faster while understanding, reviewing, and testing the code you release.\n\n - Follow the result through to actual use. Watch where customers struggle, investigate failures, and improve the experience.\n\n - Maintain what you build. Fix bugs, handle edge cases, and make the system easier for the next engineer to understand.\n\n - Work closely with the rest of the team when your product touches shared infrastructure, AI behavior, or customer workflows.\n\n\nWHAT WE'RE LOOKING FOR\n\n - You've personally taken a product or substantial feature from an idea to production. You can explain the customer problem, your decisions, and what happened after launch.\n\n - You can ship TypeScript and React in an existing codebase without constant direction. You understand the code well enough to debug it when AI tooling gets something wrong.\n\n - You have strong product and design judgment. You care about how an interface works as well as how it looks.\n\n - You know outbound sales from experience: researching prospects, sending campaigns, handling replies, and selling a product. You can spot where the tools get in the way.\n\n - You take initiative and can defend a product decision, hear criticism, and change course when the evidence calls for it.\n\n - You move quickly and take responsibility for quality, maintenance, and the customer outcome.\n\nYou may have founded a company, worked as a sales engineer, or moved from sales into building software. Those are useful paths into this role. The strongest evidence is work you've shipped and can explain in detail.\n\n\nUSEFUL ADDITIONAL EXPERIENCE\n\nA sales, CRM, or outbound product with real users would be valuable. So would a public body of work: shipped products, a GitHub repository, or a technical write-up that shows how you think and build.\n\n\nHOW WE WORK\n\nThis role is based in our San Francisco or New York office, in person five or more days per week, and reports to Jaspar. Expect a small team, short feedback cycles, direct communication, and high standards.\n\nYou'll have substantial freedom to choose an approach and the responsibility to make it work. We value people who surface problems early, share useful feedback, and care about the details of what they ship.\n\n\nINTERVIEW PROCESS\n\n 1. A 15-minute conversation with Jaspar.\n\n 2. A paid, 48-hour take-home: design and ship a real feature for Ava.\n\n 3. A 60-minute review with our founders and an engineer.\n\n 4. A 30-minute conversation in person.\n\nWe can move from first conversation to offer in three to five days. When applying, share a product you personally built and explain what you owned.\n\n\nABOUT ARTISAN\n\nArtisan builds AI employees that take on real work. Our first three are Ava, our outbound AI BDR; Aaron, our inbound AI SDR; and Aria, our AI account executive. Our broader mission is to build AI employees that can take responsibility for work across many roles and industries.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"4e533b35-d89d-4801-89d2-a77f8b4d5290","title":"Staff AI Engineer - Agent Architecture & Behavior","department":"Engineering ","team":"Engineering ","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-13T01:19:58.589+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/artisan/4e533b35-d89d-4801-89d2-a77f8b4d5290","applyUrl":"https://jobs.ashbyhq.com/artisan/4e533b35-d89d-4801-89d2-a77f8b4d5290/application","descriptionHtml":"Artisan · Full-time · In person in San Francisco
Base salary: $250,000–$325,000 USD annually. Equity: 0.15%–0.30%. US visa sponsorship available.
At Artisan, we're working on a new, ambitious project that will push the boundaries of what agentic AI can do. We're keeping the product details private ahead of launch, but we can tell you this: the technical problems are substantial, the scope for invention is real, and this hire will shape the core technology.
We're looking for a hands-on technical lead to design and build the underlying AI architecture. You'll work across agent behavior, complex multi-agent systems, tool use, context, and evaluation, taking promising ideas through to dependable production software.
This is an individual-contributor role with broad technical ownership. You'll make consequential architecture decisions, write the hardest parts of the system, and work closely with our existing engineers and leadership. You should enjoy both exploring an uncertain problem and doing the detailed engineering required to make a solution work.
Agent architecture and behavior. Design and implement agent execution loops, planning strategies, tool interfaces, and verification. Turn ambiguous technical requirements into clear system boundaries and working code.
Multi-agent systems. Build delegation, coordination, context sharing, and result synthesis. Handle concurrent work, conflicting updates, cancellation, and stale results. Establish when a multi-agent approach improves on a simpler baseline.
Reliable execution. Make complex, stateful workflows resilient to interruptions and partial failures. Build checkpoints, recovery strategies, and appropriate human intervention into the architecture.
Context, memory, and reusable methods. Improve retrieval, context construction, persistent state, and skill representation. Investigate how systems can use feedback and prior experience to perform better without introducing regressions.
Evaluation and experimentation. Build realistic evaluations, analyze task trajectories, and turn observed failures into measurable improvements. Compare approaches using quality, reliability, latency, and cost.
Model and tooling decisions. Evaluate models and emerging techniques, prototype promising approaches, and make informed build-versus-buy decisions. Choose tools because they solve the problem, and be willing to replace them when the evidence changes.
Technical leadership. Set engineering standards, review important design decisions, and help the team implement a coherent AI system. Stay close to the product and accountable for what ships.
You'll partner with product and infrastructure engineers on production services, integrations, secure execution, and observability. You'll own the AI architecture and its effectiveness, with implementation shared across the team.
You have personally built and shipped a substantial agentic system. Production use or rigorous, reproducible open-source work matters more than the name of a framework or employer.
You have deep practical experience with LLM tool use, planning, context engineering, and evaluations. You have implemented multi-agent coordination or substantial parallel agent/tool execution and can explain its failure modes.
You have hands-on experience with browser or computer automation in an agentic system, including observing state, verifying effects, and recovering when an interface or execution path fails.
You are an excellent software engineer in Python, TypeScript, or a comparable language. You are comfortable with asynchronous services, state machines, persistence, concurrency, retries, and cancellation.
You know which decisions belong to a model and which guarantees must be enforced in code. You can reason carefully about permissions, untrusted inputs, uncertain external outcomes, and human approvals.
You can design meaningful experiments, debug real system behavior, and explain what improved, why it improved, and where the evidence is still weak.
You can take technical ownership of an unclear problem, work effectively with other engineers, and ship with urgency and care.
Depth in agent memory and retrieval, skill acquisition, reinforcement learning or post-training, trajectory datasets, sandboxed execution, distributed systems, inference optimization, or multimodal and voice models would be valuable. We expect strong foundations and particular depth in a few areas, rather than prior specialization in every one.
There is no required degree, publication record, previous employer, or agent framework. We're hiring for demonstrated engineering ability, judgment, and ownership.
This role is based in our San Francisco office. Expect a small team, short feedback cycles, direct communication, and high standards. We value people who move quickly, take responsibility for the result, surface problems early, and change their minds when the evidence calls for it.
You'll have substantial freedom to explore ambitious technical ideas and the responsibility to turn the best ones into software that works. We'll discuss the project in more detail during the interview process.
Our conversations will center on systems you've built, a practical agent architecture and debugging exercise, and how you work with a team.
When applying, tell us about one agentic system you personally owned: what you built, the hardest failure you fixed, and how you measured the improvement. A project link, technical write-up, or open-source contribution is welcome. You can discuss confidential work without sharing proprietary material.
The base salary range is $250,000–$325,000 USD annually, plus equity. The final offer will reflect relevant experience, demonstrated skills, and the scope of responsibility.
Artisan builds AI employees that take on real work. Our first three are Ava, our outbound AI BDR; Aaron, our inbound AI SDR; and Aria, our AI account executive. Our broader mission is to build AI employees that can take responsibility for work across many roles and industries.
","descriptionPlain":"Artisan · Full-time · In person in San Francisco\n\nBase salary: $250,000–$325,000 USD annually. Equity: 0.15%–0.30%. US visa sponsorship available.\n\n\nBUILD SOMETHING NEW AT THE FRONTIER OF APPLIED AI\n\nAt Artisan, we're working on a new, ambitious project that will push the boundaries of what agentic AI can do. We're keeping the product details private ahead of launch, but we can tell you this: the technical problems are substantial, the scope for invention is real, and this hire will shape the core technology.\n\nWe're looking for a hands-on technical lead to design and build the underlying AI architecture. You'll work across agent behavior, complex multi-agent systems, tool use, context, and evaluation, taking promising ideas through to dependable production software.\n\nThis is an individual-contributor role with broad technical ownership. You'll make consequential architecture decisions, write the hardest parts of the system, and work closely with our existing engineers and leadership. You should enjoy both exploring an uncertain problem and doing the detailed engineering required to make a solution work.\n\n\nWHAT YOU'LL OWN\n\n - Agent architecture and behavior. Design and implement agent execution loops, planning strategies, tool interfaces, and verification. Turn ambiguous technical requirements into clear system boundaries and working code.\n\n - Multi-agent systems. Build delegation, coordination, context sharing, and result synthesis. Handle concurrent work, conflicting updates, cancellation, and stale results. Establish when a multi-agent approach improves on a simpler baseline.\n\n - Reliable execution. Make complex, stateful workflows resilient to interruptions and partial failures. Build checkpoints, recovery strategies, and appropriate human intervention into the architecture.\n\n - Context, memory, and reusable methods. Improve retrieval, context construction, persistent state, and skill representation. Investigate how systems can use feedback and prior experience to perform better without introducing regressions.\n\n - Evaluation and experimentation. Build realistic evaluations, analyze task trajectories, and turn observed failures into measurable improvements. Compare approaches using quality, reliability, latency, and cost.\n\n - Model and tooling decisions. Evaluate models and emerging techniques, prototype promising approaches, and make informed build-versus-buy decisions. Choose tools because they solve the problem, and be willing to replace them when the evidence changes.\n\n - Technical leadership. Set engineering standards, review important design decisions, and help the team implement a coherent AI system. Stay close to the product and accountable for what ships.\n\nYou'll partner with product and infrastructure engineers on production services, integrations, secure execution, and observability. You'll own the AI architecture and its effectiveness, with implementation shared across the team.\n\n\nWHAT WE'RE LOOKING FOR\n\n - You have personally built and shipped a substantial agentic system. Production use or rigorous, reproducible open-source work matters more than the name of a framework or employer.\n\n - You have deep practical experience with LLM tool use, planning, context engineering, and evaluations. You have implemented multi-agent coordination or substantial parallel agent/tool execution and can explain its failure modes.\n\n - You have hands-on experience with browser or computer automation in an agentic system, including observing state, verifying effects, and recovering when an interface or execution path fails.\n\n - You are an excellent software engineer in Python, TypeScript, or a comparable language. You are comfortable with asynchronous services, state machines, persistence, concurrency, retries, and cancellation.\n\n - You know which decisions belong to a model and which guarantees must be enforced in code. You can reason carefully about permissions, untrusted inputs, uncertain external outcomes, and human approvals.\n\n - You can design meaningful experiments, debug real system behavior, and explain what improved, why it improved, and where the evidence is still weak.\n\n - You can take technical ownership of an unclear problem, work effectively with other engineers, and ship with urgency and care.\n\n\nUSEFUL ADDITIONAL EXPERIENCE\n\nDepth in agent memory and retrieval, skill acquisition, reinforcement learning or post-training, trajectory datasets, sandboxed execution, distributed systems, inference optimization, or multimodal and voice models would be valuable. We expect strong foundations and particular depth in a few areas, rather than prior specialization in every one.\n\nThere is no required degree, publication record, previous employer, or agent framework. We're hiring for demonstrated engineering ability, judgment, and ownership.\n\n\nHOW WE WORK\n\nThis role is based in our San Francisco office. Expect a small team, short feedback cycles, direct communication, and high standards. We value people who move quickly, take responsibility for the result, surface problems early, and change their minds when the evidence calls for it.\n\nYou'll have substantial freedom to explore ambitious technical ideas and the responsibility to turn the best ones into software that works. We'll discuss the project in more detail during the interview process.\n\n\nINTERVIEW PROCESS\n\nOur conversations will center on systems you've built, a practical agent architecture and debugging exercise, and how you work with a team.\n\nWhen applying, tell us about one agentic system you personally owned: what you built, the hardest failure you fixed, and how you measured the improvement. A project link, technical write-up, or open-source contribution is welcome. You can discuss confidential work without sharing proprietary material.\n\nThe base salary range is $250,000–$325,000 USD annually, plus equity. The final offer will reflect relevant experience, demonstrated skills, and the scope of responsibility.\n\n\nABOUT ARTISAN\n\nArtisan builds AI employees that take on real work. Our first three are Ava, our outbound AI BDR; Aaron, our inbound AI SDR; and Aria, our AI account executive. Our broader mission is to build AI employees that can take responsibility for work across many roles and industries.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}}],"apiVersion":"1"}