cover image
Artisan

Artisan

artisan.co

3 Jobs

279 Employees

About the Company

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 platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.

Ava, our AI BDR, operates within our platform. She automates:
- Lead discovery with access to over 300M B2B contacts
- Lead research, with 10s of data sources
- Choosing a sales strategy and writing + sending hyper-personalized emails
- Managing deliverability with a suite of tools - from email warmup to placement tests

We're on a mission to create the final boss of software, with every SaaS product needed for sales and AI employees consolidated together in one exceptional platform.

This is the next Industrial Revolution.

Listed Jobs

Company background Company brand
Company Name
Artisan
Job Title
Applied AI
Job Description
**Job Title:** Applied AI Engineer **Role Summary:** Develop and ship autonomous AI employee products by evaluating, integrating, and optimizing large language models (LLMs), retrieval‑augmented generation (RAG), multimodal and voice AI technologies. Drive end‑to‑end AI agent architecture, safety controls, and performance metrics to deliver reliable, human‑like capabilities at scale. **Expectations:** - Deliver production‑ready AI features within tight timelines. - Balance model cost, latency, reliability, and accuracy. - Collaborate cross‑functionally with product, engineering, and leadership. - Maintain high standards of safety, trust, and user experience. **Key Responsibilities:** - Evaluate and select LLMs and related models for specific tasks. - Architect prompt frameworks and agent behaviors for workflows such as email generation, chat, scheduling, and prospect research. - Build and optimize multi‑step agent pipelines using RAG, web search, and tool integrations (CRMs, calendars, APIs). - Define infrastructure for routing, orchestration, evaluation loops, and persistent memory. - Implement safety mechanisms, guardrails, and success metrics in partnership with product teams. - Explore and integrate emerging modalities (voice AI, talking‑head avatars, multimodal reasoning) to enhance agent humanity. - Design self‑optimizing, real‑time decision‑making workflows that produce measurable outcomes. **Required Skills:** - 2+ years delivering AI products in production (startup or foundation‑model team). - Hands‑on experience with AI agents, function calling, RAG pipelines, or self‑healing workflows (e.g., LangChain, ReAct, Dust, OpenAI Tools). - Strong expertise in prompt engineering, chaining, and retrieval systems; familiarity with OpenAI’s RAG/web‑search tools a plus. - Proven ability to manage latency, reliability, and cost of LLM‑based services. - Research mindset combined with engineering execution speed. - Excellent written and verbal communication. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field (Master’s preferred). - No specific certifications required; demonstrated production AI experience is essential.
New york, United states
On site
06-10-2025
Company background Company brand
Company Name
Artisan
Job Title
Enterprise CSM
Job Description
Job title: Enterprise Customer Success Manager Role Summary: Senior Customer Success Manager responsible for the entire lifecycle of enterprise accounts ($100K+ ARR), ensuring successful onboarding, adoption, retention, renewal, and expansion while serving as the primary strategic advisor to C‑suite executives. Expectations: • Own full implementation and go‑live process for enterprise clients. • Lead regular strategic business reviews, ROI discussions, and executive check‑ins. • Monitor adoption, health, and key success metrics. • Identify and drive upsell, cross‑sell, and expansion opportunities. • Manage complex escalations with internal teams. • Advocate customer needs in product and roadmap planning. • Build scalable processes and playbooks for the Enterprise CSM function. Key Responsibilities - Coordinate onboarding, implementation, and go‑live activities with professional services, product, and engineering. - Conduct strategic business reviews, executive‑level presentations, and ROI analyses. - Track and analyze adoption, usage, health, and success metrics (value delivered, ROI, retention, NPS). - Proactively uncover growth opportunities and present expansion proposals to account leadership. - Serve as the primary escalation point, working with support, product, and engineering to resolve complex issues. - Collect and convey customer feedback to product and roadmap teams. - Cultivate long‑term relationships, positioning the company as a strategic partner. - Design and refine enterprise playbooks, processes, and best practices. Required Skills - 5+ years of Customer Success, Account Management, or Client Services experience in a B2B SaaS environment. - Proven track record managing enterprise accounts and driving retention, upsell, expansion, and renewal. - Comfortable presenting to C‑level executives and leading strategic discussions. - Excellent written and verbal communication, influencing, and negotiation skills. - Strong analytical mindset; ability to interpret data and deliver actionable insights. - Collaborative cross‑functional style; partnership with product, engineering, sales, marketing, and support. - High autonomy, proactivity, organizational skill, and ability to manage multiple complex accounts simultaneously. Required Education & Certifications - Bachelor's degree in Business, Marketing, or related field (preferred). - Relevant customer success or account management certifications (e.g., Certified Customer Success Manager, CC­SM) are desirable.
Canada
Remote
Mid level
09-10-2025
Company background Company brand
Company Name
Artisan
Job Title
Software Engineer (Backend)
Job Description
**Job Title:** Software Engineer (Backend) **Role Summary:** Design, develop, and scale backend systems that power autonomous AI employees. Deliver end‑to‑end features from architecture through production, ensuring high‑throughput, reliable, and observable services. Collaborate cross‑functionally with product, design, and AI teams while leveraging AI coding agents to enhance productivity. **Expectations:** - Build resilient, high‑performance APIs handling AI workloads. - Own feature delivery lifecycle with rapid, high‑quality releases. - Maintain engineering rigor through testing, monitoring, and CI/CD. - Continuously improve architecture for scalability and technical debt reduction. - Communicate architecture decisions clearly to technical and non‑technical stakeholders. **Key Responsibilities:** 1. Architect and implement scalable backend services and APIs. 2. Manage full‑stack delivery: design, development, testing, deployment, and monitoring. 3. Partner with product, design, and AI teams to align backend solutions with user workflows. 4. Utilize AI coding assistants (e.g., Claude Code) to boost development efficiency. 5. Champion best practices in testing, observability, and reliability. 6. Optimize infrastructure (containers, orchestration, CI/CD) for performance and cost. 7. Iterate on system design to support growing customer base and AI agent volume. **Required Skills:** - 2+ years of backend engineering experience in fast‑growth or early‑stage environments. - Proven ability to build scalable, data‑intensive services with modern APIs. - Proficiency with cloud‑native technologies: containers, Kubernetes (or similar), monitoring tools, CI/CD pipelines. - Strong understanding of distributed systems, reliability, performance tuning, and both SQL and NoSQL databases. - Experience with TypeScript/Node.js preferred; comparable backend stacks acceptable. - Demonstrated ownership of complex system components and successful shipping of impact‑driven features. - Excellent verbal and written communication; ability to convey technical concepts to diverse audiences. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). - No specific certifications required; relevant industry certifications (e.g., Cloud, Kubernetes) are a plus.
San francisco, United states
On site
Junior
24-10-2025