Senior Software Engineer - AI Data & Analytics at Vantaca — Redwood City, USA | Base Career

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Build the data platform for analytics: design schemas, aggregation layers, and pipelines that turn operational data into a reliable source of truth serving customers, product, and finance.
Ship customer-facing analytics: build the dashboards, APIs, and data contracts that give customers live visibility into what our AI is doing for them—usage and credit consumption, performance metrics, community-level insights (Next.js front end, Postgres-backed services).
Make consumption-based pricing real: build event-level usage metering and attribution with audit-grade correctness, plus the reconciliation pipeline that connects product data to billing and finance reporting.
Build forecasting and predictive models: usage run-rate projections, sentiment analysis for our customers’ customers based on community communications, and other applied data applications that provide unique insights into our customers.
Own data correctness and reliability: data quality testing, pipeline observability, anomaly detection, and the engineering rigor that makes numbers trustworthy enough to bill against and report to boards.
Raise engineering standards: drive code quality, testing strategy, documentation, and mentoring as the data and analytics surface area grows.

Experience: 5+ years building backend or data systems for production SaaS.
Data engineering depth: strong relational modeling (Postgres), pipelines, aggregation systems, indexing, query optimization, and an instinct for data correctness.
Applied data science fluency: comfort with statistics, forecasting, and ML techniques—and the judgment to know when a regression beats a neural net.
API design excellence: proven ability to design clear, evolvable APIs and data contracts across services and customer-facing surfaces.
Full-stack interest: you don't need to be a front-end specialist, but you're excited to take an insight all the way to the screen (React/Next.js).
High pace + high quality: you thrive in fast-moving environments without sacrificing reliability or security.
Curiosity and ownership: you enjoy ambiguous problems, learn quickly, and take systems end-to-end (build → ship → operate).
Usage-based billing: experience with metering, credit ledgers, rating engines, or revenue reconciliation.

Senior Software Engineer - AI Data & Analytics