Software Engineer - Data Platform (All Levels)

Location: Wilmington, NC , Redwood City, CA, Raleigh, NC

Department: Engineering

Location Type: REMOTE

Employment Type: FULL_TIME

• 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.

• 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). 

• 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. 

• 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.

• 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.

• 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