Software Engineer - Data Platform
Listed on 2026-07-13
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Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer, DevOps
Software Engineer - Data Platform
Vantaca's vision is big! We are 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. More than just accounting and management software, Vantaca is intelligent business operating software that leverages artificial intelligence to automate routine work, surface actionable insights, and help our customers increase revenue, efficiency, flexibility, and control.
Built on modern cloud architecture with a single-platform design, Vantaca combines comprehensive functionality that adapts to 100% of business processes with AI-powered automation that learns and improves over time. Our proactive AI capabilities don't just report on what happened; they predict what's coming and recommend what to do next. From intelligent document processing and predictive analytics to automated workflows and conversational interfaces, we're transforming how community management companies operate.
With seamless integrations across the software and banking ecosystem, we're building the intelligent hub for community management where AI doesn't just assist, it anticipates. Vantaca is focused exclusively on community management and is the trusted technology leader defining the AI-powered future of the community association management industry. We're building something fundamentally different, and our customers are experiencing the competitive advantage that comes from working with truly intelligent software.
Vantaca just achieved unicorn status with a $1.25B valuation, so it's safe to say we're past the "scrappy startup phase." We're not just building a successful company, we're building the category-defining platform that will transform how an entire industry operates.
Vantaca IQ is the intelligence layer at the core of Vantaca's platform, and this team builds it. You take messy, multi-tenant operational data, organize it, and turn it into the insights and signals the platform acts on — surfaced where decisions get made and served to HOAi agents that act on it. You own the stack that makes that possible: ingestion and pipelines;
the schemas and aggregation beneath every report; the reporting and ad-hoc query surfaces; the derived-intelligence layer; and the semantic and ontological model on top. You make community management legible to LLMs. IQ is data-as-a-service, one governed source feeding humans and agents where they are — proactive, personalized, channel-agnostic. The hard problems sit here: serving cross-tenant data without leaking a byte, semantic governance that keeps one number from forking into five, eval harnesses that prove a grounded LLM is right, and pipelines trustworthy enough to bill against and report to boards.
the Team Owns
- Ingestion & pipelines: batch and change-data-capture out of the operational system of record; transformations, scheduling, backfills, and idempotent reprocessing.
- Data models & metric layer: relational and dimensional schemas, and define-once metrics with the thoughtful governance.
- Aggregation, rollups & derived metrics: materializations, incremental rollups, and partitioning/indexing for fast, cheap queries — plus the score and benchmark jobs, with the data-quality checks, lineage, and tests that keep them correct.
- Multi-tenant isolation: tenant-scoped access and row/column controls on every surface, including cross-tenant aggregates that expose no individual tenant's data.
- Access & serving layer: how every consumer reads the platform's intelligence — query and metrics APIs, an MCP server for agents and external tools, embeddable feeds, and push to Teams and Slack — one governed contract whether the caller is a person, an app, or an agent.
- Reporting & ad-hoc surfaces: report definitions, board-packet generation, and self-serve query interfaces.
- LLM grounding & evals: the retrieval/semantic interface an LLM queries against, and the eval harnesses that measure and gate accuracy.
- Signal & action contracts: insight-detection jobs and the typed, audited output contracts HOAi agents consume to…
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