2 months ago
San Francisco, CA, USA or New York, NY, USAMid Level
Base Salary
$135k - $190k/yr
Responsibilities
- Build and own data infrastructure, including pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems.
- Build the transformation and semantic layer serving as the source of truth for customer-facing analytics, internal reporting, and AI/ML systems.
- Design canonical data models that normalize heterogeneous source systems, with quality tests and observability built in.
- Build event and signal pipelines that produce clean, labeled data for analytics, ML, and intelligent product features.
- Partner with product, engineering, and applied ML teams to embed data quality, lineage, and observability into shipped systems.
- Implement DataOps practices to keep data and AI features timely, accurate, and trusted.
- Collaborate with leadership to define KPIs, build dashboards, and surface insights for strategic decisions.
- Scale the data platform as the customer base grows and anticipate future bottlenecks.
Requirements
- At least 3 years of hands-on experience building production data pipelines with Python.
- Proficiency with SQL and modern cloud data warehouses; Snowflake or BigQuery experience is a plus.
- Deep experience implementing ETL/ELT workflows at scale using dbt, Airflow, or similar tools.
- Experience building or contributing to a semantic or metrics layer and maintaining metric consistency.
- Strong understanding of data modeling and experience designing canonical schemas for messy, heterogeneous source data.
- Experience working with SaaS APIs, ERPs, and third-party integrations.
- Experience with data quality and observability, including freshness, lineage, automated testing, and anomaly detection.
- Experience partnering with ML or applied AI teams on feature pipelines or supporting data infrastructure is a bonus.
- Interest or experience in fintech, B2B SaaS, or financial data; understanding AR/AP workflows is a plus.
- Ability to work effectively in ambiguity and build new systems from scratch.
Benefits
- Top-of-market salary and equity package.
- Medical, dental, and vision insurance coverage for U.S.-based full-time employees.
- 401(k) with match.
- Equity.
- Flexible PTO.
- Parental leave.
About Stuut
Stuut is the AI platform that does accounts receivable work instead of just assisting with it. We collect 40% more revenue for businesses by autonomously handling their entire AR process—from customer outreach to payment collection—with seamless integration that's live in days, not months. We're backed by some of the best investors: a16z, Khosla, Activant, 1984, Carya, and Page One. Also, we are hiring!