Havenly Brands (Havenly, Interior Define, Burrow, The Citizenry, The Inside, and St. Frank) · 1 day ago
AI Analytics Engineer
Havenly Brands is a family of home design and furnishings companies aiming to make personalized home design accessible to everyone. They are seeking an AI Analytics Engineer to lead the development of data infrastructure and intelligent systems, partnering with business leaders to create end-to-end data solutions and optimize data access for AI consumption.
ConsumerE-CommerceHome DecorInterior Design
Responsibilities
Collaborate directly with business leaders to understand strategy, operations, and the outcomes they're trying to achieve—not just the data they think they need
Design analytical approaches and measurement frameworks that directly target business goals, going beyond data modeling to the end analysis and action
Lead measurement implementation strategy: determine what data we should collect, can collect, and how to instrument new touchpoints to answer emerging questions
Translate business problems into data solutions, and data insights back into business recommendations
Extract data from disparate sources into a centralized cloud data warehouse
Design and implement data pipelines that ensure reliability, correctness, and freshness
Build and maintain transformations and semantic layers that accurately model business operations across our portfolio of brands
Implement data quality monitoring, testing, and observability across all data assets
Architect data systems optimized for AI agent consumption, not just traditional BI tools
Build and configure semantic layers, MCPs (Model Context Protocol servers), and interfaces that allow AI systems to reliably query and understand our data
Create governed, well-documented metrics and dimensions that serve as a single source of truth for both humans and AI systems
Develop tools and context that empower internal AI agents and interactive AI applications Drive Intelligence & Automation
Drive strategy and implementation of consumer touchpoint data collection to power internal intelligence and cross-brand marketing activation
Identify opportunities to automate operations with AI and data processing—then build the solutions
Build internal tools and applications that leverage AI capabilities to serve the organization
Help uplevel the entire organization's data capabilities and AI fluency
Qualification
Required
3-5+ years of experience in analytics engineering, data engineering, or a related field working with business stakeholders
Expert SQL skills with experience writing complex transformations, data models, and analytical queries
Strong Python proficiency for data processing, automation, and building tools
Modern data stack experience: dbt (strongly preferred), cloud warehouses (Snowflake, BigQuery, or similar), and ETL/orchestration tools (Airbyte, Fivetran, Airflow, or similar)
AI-native workflow: You actively use AI tools (Claude Code, Cursor, or similar) to accelerate your work—and you're excited to push further
Business acumen: Track record of partnering with stakeholders to understand requirements, design solutions, and deliver measurable outcomes
Business-obsessed: You think beyond data models to the analysis, operation, and end goal—you care about outcomes, not just deliverables
Strategic thinking: You see the big picture—connecting data capabilities to business strategy, short-term wins to long-term vision
Proactive and curious: You identify opportunities before being asked and stay ahead of emerging technologies
Clear communicator: You can translate between technical and business contexts, articulating the 'why'; in terms that resonate across disciplines
Quality-obsessed: You care deeply about data correctness, documentation, and reliability
Ownership mentality: You take initiative, navigate ambiguity, and see problems through to outcomes
Preferred
Experience building internal tools or applications (web apps, automations, AI-powered features)
Direct experience architecting data for AI consumption (e.g. semantic layers, MCPs, RAG-optimized systems) or with AI agent frameworks
Background in machine learning model development or deployment
Experience with consumer/marketing data, customer data platforms, or marketing activation
Experience with Vibe Coding/Agentic Engineering—you've enjoyed building with AI, and you can't stop thinking about it
Benefits
Generous PTO
Volunteer days off
Health benefits (medical, dental, vision and disability)
401(k) with match
Paid parental leave
Design services
Furniture discounts
Anniversary merchandise credits
Company
Havenly Brands (Havenly, Interior Define, Burrow, The Citizenry, The Inside, and St. Frank)
Open the door to better living. Havenly Brands is on a mission to redefine how people shop for home.
Funding
Current Stage
Growth StageTotal Funding
$85.82MKey Investors
Suttona CapitalFoundry GroupBinary Capital
2021-12-22Series Unknown
2021-06-02Series C· $28M
2020-06-04Series Unknown
Recent News
2026-01-09
Business Insider
2025-11-03
2025-05-06
Company data provided by crunchbase