Artisan
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Data Engineer
role at
Artisan .
Base pay range: $150,000.00/yr - $220,000.00/yr.
About Artisan At Artisan, we’re building real AI employees — not copilots, not assistants, but autonomous teammates.
Our first, Ava, is an AI BDR. She finds and researches leads, writes emails in customers’ tone of voice, runs outbound sequences, self‑optimizes, and manages email deliverability infrastructure. She learns, adapts, and improves over time - just like a human would.
We went through Y Combinator (W24) and have raised $35M+ from top investors. We’re at $7M+ ARR, with hundreds of customers including CookUnity, Quora, and SumUp.
We’re currently working on Ava 2.0, pushing the boundaries of what an AI employee can do. And we're hiring.
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.
Responsibilities
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 reliabilityContribute 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
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 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
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology - Software Development
Referrals increase your chances of interviewing at Artisan by 2x.
Get notified about new Data Engineer jobs in
New York, NY .
#J-18808-Ljbffr
Data Engineer
role at
Artisan .
Base pay range: $150,000.00/yr - $220,000.00/yr.
About Artisan At Artisan, we’re building real AI employees — not copilots, not assistants, but autonomous teammates.
Our first, Ava, is an AI BDR. She finds and researches leads, writes emails in customers’ tone of voice, runs outbound sequences, self‑optimizes, and manages email deliverability infrastructure. She learns, adapts, and improves over time - just like a human would.
We went through Y Combinator (W24) and have raised $35M+ from top investors. We’re at $7M+ ARR, with hundreds of customers including CookUnity, Quora, and SumUp.
We’re currently working on Ava 2.0, pushing the boundaries of what an AI employee can do. And we're hiring.
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.
Responsibilities
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 reliabilityContribute 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
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 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
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology - Software Development
Referrals increase your chances of interviewing at Artisan by 2x.
Get notified about new Data Engineer jobs in
New York, NY .
#J-18808-Ljbffr