Staff Data Engineer

San Francisco, United StatesOn-site

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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

ABOUT ARTISAN We're building AI employees. Not chatbots. Not copilots.
Our first, Ava, is an AI BDR used by hundreds of companies.
Right now we're building Ava 2.0, a step change in what an AI employee can do.
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 at the center - High standards, every detail.

We're a YC W24 company, have raised $35M+ from investors including Y Combinator, and are at $8M+ ARR.
experience supporting LLMs, embeddings, or ML training pipelines - Bonus: startup experience INTERVIEW PROCESS 1.

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.
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.
Introductory chat with our recruiter 2. 1 hour technical interview with an engineer 3. 1 hour technical interview with an engineer 4. 30-minute interview with Sam, our CPTO 5. 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.
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