Senior Software Engineer - AI Data & Analytics

Overview

Our AI agents generate an enormous amount of data: every task they execute, every email they process, every call they handle, every workflow they complete. Today that data powers the product. Tomorrow it should power the business—and become a product in its own right. This role owns that transformation.

You’ll build the data and analytics layer of the HOAi platform: the pipelines, models, and services that turn raw operational data into things customers and the business can act on. The first major initiative is making consumption‑based pricing a reality—giving customers live visibility into their usage, forecasting where it’s heading, and connecting product data to billing and finance. But that’s the starting point, not the job.

The same foundation unlocks customer‑facing intelligence we’ve only scratched the surface of: community sentiment analysis, churn and delinquency prediction, operational benchmarking, and insights no management company has ever had access to.

This is a data‑first role with real backend ownership and room to operate full stack—you’ll design the schemas and pipelines, build the APIs, and ship the dashboards customers actually see. You will work in a high‑velocity environment with real ownership: you’ll design systems, ship quickly, measure outcomes, and harden them as they scale.

• 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.
• LLM experience: building product with LLMs (prompting, tool calling, evals, cost analytics), or analyzing LLM‑generated data at scale (sentiment, classification, extraction).
• Modern data stack: dbt, warehouses/lake houses, event streaming, orchestration tools.
• Data visualization: a track record of dashboards or analytics products that customers actually used.

• Shoot for Impossible and Make it Happen: Sets audacious goals that others might see as unreachable and breaks them into actionable steps. Relentlessly perseveres through…