Salient is one of the fastest-growing AI startups in consumer finance. In less than two years, we’ve achieved product-market fit, scaled to 8-figure ARR, and emerged as one of the undisputed leaders in financial voice AI.

A few fast facts: Backed by YC and raised the largest Series A for a B2B startup from a16z

Reached product-market fit in 19-person team building a speech AI agent that handles millions of real customer calls per day, and fully deployed in production across major financial institutions (not just PoCs)

We’re on a mission to pass the Turing test for conversational speech in a telephony setting

In-person office culture in San Francisco, CA

About the Role We are seeking a skilled Data Engineer and Analyst combo who can analyze data and design, implement, and maintain our data infrastructure. The ideal candidate will work with customers to understand key metrics needed, build efficient data pipelines and queries to surface them, and collaborate with cross-functional teams to deliver reliable data solutions that drive business insights.

Responsibilities Data workflows: Design, build, and maintain scalable data pipelines using ETL/ELT processes to collect, process, and transform data from various sources

Customer engagement: Work with customers to understand key metrics needed and analyze data to provide solutions

Data modeling: Develop and optimize database schemas, data models, and data warehousing solutions

Data quality: Implement data validation and quality checks to ensure data integrity throughout the pipeline

Documentation: Create and maintain documentation for data processes, pipelines, and architectures

Engineering Support: Monitor, troubleshoot, and optimize data systems for performance, reliability, and cost-efficiency

Data automation: Automate routine data operations and establish monitoring systems for data flows

Requirements 3+ years of experience in data engineering or similar role

Strong programming skills in Python, SQL, and shell scripting

Experience with data processing and transformation frameworks (e.g., Apache Spark, Airflow, Kafka, DBT)

Proficiency in designing and optimizing database schemas (relational and NoSQL)

Knowledge of data warehousing solutions

Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services

Ability to work 4 days a week from our San Francisco office (open to candidates willing to relocate)

Nice to Have Familiarity with data governance frameworks and compliance requirements

Experience with real-time data processing systems

As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 4 days per week in our San Francisco Office. Compensation Range: $180K - $250K