Senior Software Engineer - AI Data & Analytics

Vantaca + HOAi • Redwood City, CA

15h • Remote

About The Position

HOAi is revolutionizing the community association management industry with its AI workforce platform, integrating machine learning to streamline processes and drive scalability. HOAi Agents go beyond traditional AI by proactively executing complex, multi-step processes with human-like reasoning, working autonomously 24/7. This transformation optimizes labor costs, enables growth without additional hires, and ensures faster, higher-quality service. HOAi was acquired by Vantaca in the fall of 2024. Vantaca is the leading AI-native community management performance platform that enables owners and operators, community management teams, boards and associations to work smarter, faster, and with unprecedented insight. Vantaca's intelligent business operating software leverages artificial intelligence to automate routine work, surface actionable insights, and help customers increase revenue, efficiency, flexibility, and control. Built on modern cloud architecture, Vantaca combines comprehensive functionality with AI-powered automation that learns and improves over time. Its proactive AI capabilities predict what's coming and recommend what to do next. With seamless integrations, Vantaca is building the intelligent hub for community management where AI anticipates. Vantaca achieved unicorn status with a $1.25B valuation and is building the category-defining platform for the community association management industry.

This role owns the transformation of enormous amounts of operational data generated by HOAi agents into actionable insights for customers and the business. You will build the data and analytics layer of the HOAi platform, including pipelines, models, and services. The first major initiative is enabling consumption-based pricing by providing customers with live visibility into their usage and forecasting. This foundation will also unlock customer-facing intelligence such as sentiment analysis, churn and delinquency prediction, and operational benchmarking.

You will design schemas and pipelines, build APIs, and ship customer-facing dashboards. This is a data-first role with backend ownership and potential for full-stack development in a high-velocity environment where you will design systems, ship quickly, measure outcomes, and scale them.

Requirements

• 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).

Nice To Haves

• 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/lakehouses, event streaming, orchestration tools.
• Data visualization: a track record of dashboards or analytics products that customers actually used.

Responsibilities

• 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.

Benefits

• Medical, Dental, and Vision kick in day one.
• Unlimited PTO (with a requirement for employees to take a minimum of one continuous week per year).
• 401K with Company Match.
• Remote Flexible - come to the office when needed.
• Great parental leave benefits.
• Ongoing industry and professional development trainings available to all employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed