.png){kind=logo}
Build and operate the data platform powering Vantaca IQ: ingestion and CDC pipelines, data modeling, aggregations and materializations, multi-tenant isolation, query/metrics APIs and reporting surfaces, LLM grounding/eval harnesses, and governed semantic layers to serve humans and agents with trustworthy intelligence.
About Vantaca
Powered by AI, 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.
The Opportunity
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.
What 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 act.
What We're Looking For
At every level:
- Data fundamentals: you've built pipelines or aggregation layers over messy operational data and understand how analytical engines execute your queries.
- Modeling instinct: relational and dimensional modeling, and the conviction that every metric you publish is an interface someone, or some agent, depends on.
- Product sense for data: you care that an insight changes how our userd do business.
- AI-native by default: Active daily use of AI coding agents (Claude Code, Cursor, or similar); this is a baseline, not a differentiator.
- Polyglot and pragmatic: You reach for the right tool to solve each problem, while thoughtfully evolving the ecosystem.
- Curiosity and ownership: you run at ambiguous problems and take systems end-to-end (build → ship → operate).
At senior levels, additionally:
- Source-of-truth scar tissue: you've built a data platform other teams trusted and kept it trustworthy as it grew.
- Semantic governance: you've defined semantic-layer or metric-governance architecture and lived with the consequences.
- Grounded-LLM receipts: you've shipped or evaluated an LLM system grounded in governed data and can explain what you measured.
- Raising the bar: testing strategy, documentation, and mentoring.
How leveling works: Leveling is set during the interview process by demonstrated scope and impact — growing fast and thinking clearly often beats more years and logos.
Nice to Have
- Semantic-layer or metrics-store experience (e.g., MetricFlow, LookML, Cube, dbt, or similar).
- Modern data stack exposure (e.g., warehouses, lakehouses, event streaming, and orchestration tools).
- Multi-tenant analytics or cross-customer benchmarking — serving derived intelligence without leaking anyone's data.
- Exposure to property management, HOA, or real estate tech — helpful but not required.
Core Values
- Always Growing: Likes change and enjoys finding new ways to improve their knowledge and the platform. Always ready to learn quickly about emerging AI technologies and infrastructure patterns, helping themselves and the team grow.
- Win as a Team: Builds trust and works together by making sure everyone communicates well. Actively involved in daily platform work, working closely with engineering teams, listening to their infrastructure needs, and celebrating technical successes together.
- Accountability Starts with Me: Notices platform problems and takes personal action to solve them. Takes ownership of platform performance, reliability, and the success of internal customers building on the platform.
- Unwavering Commitment to Customer Experience: Regularly talks to internal customers (product teams, engineers), taking personal responsibility to understand what they need from the platform, address infrastructure concerns, and make their development experience better with improved platform capabilities.
- Innovate Boldly: We challenge the status quo and push technical boundaries to create meaningful change. We act with urgency and purpose, knowing that platform innovation drives our AI-native product success.
Why You Should Join Our Team
- AI-First Product Culture - Build the intelligent infrastructure that powers AI innovation at scale
- Our eNPS is +68! (Google it, that is great)
- 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
- Named on Inc 5000 list of America's Fastest Growing Private Companies
- Named on Inc 5000 Vet 100 Private Companies list multiple years in a row
- Winner of Coastal Entrepreneur Award, Technology Category
- Active employee-led Culture Committee
- Ongoing industry and professional development trainings available to all employees
- Multiple leaders on the executive committee recognized as 40 under 40 recipients for contributions to business and community
- We're playing offense to win! Our product market fit and our world-class employees make us the leader in our space. We're building something cool and people like it here
We receive many resumes for our open positions and each one is reviewed by a human being on our recruiting team. We will compare your background with the qualifications and requirements for the position.
If you are selected for an interview you will receive an e-mail from someone on our recruiting team with an @vantaca.com email address. It may take some time for us to review all of the applications so give us some time to respond. We appreciate your interest in this role.
Similar Jobs
Healthtech • Software
Build and maintain scalable, governed data pipelines from ingestion through transformation and integration. Implement schema validation, data quality checks, job monitoring, and production-grade APIs. Work with Python, SQL, Airflow, dbt, AWS (EMR, Athena, S3), Iceberg/Parquet, and contribute to CI/CD, observability, and on-call support while collaborating with analytics and product teams.
Top Skills:
Apache AirflowAPIsAthenaAws EmrCi/CdDbtIcebergKafkaParquetPythonS3SQLTesting Frameworks
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, and scale backend Graph features and services powering the Veza Access Graph. Improve performance, reliability, and APIs; implement logging/monitoring; collaborate with product and security teams; optimize code through reviews, testing, and refactoring; stay current on relevant technologies.
Top Skills:
AWSAzureDockerGoGoogle Cloud PlatformKotlinKubernetesNeo4JOlapRestful Apis
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.
Top Skills:
AirflowAmundsenSparkAws RdsCloudFormationDagsterDatabricksDatahubDelta LakeDockerDynamoDBEcsFargateGoHive MetastoreHudiIcebergJavaKinesisKubernetesLambdaPrefectPythonS3ScalaSqsTerraformUnity Catalog
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
