---
title: 'Director of Data Engineering at Ruggable'
canonical: 'https://feeny.ai/job/director-of-data-engineering-ruggable-los-angeles-california-nqe68dd749hb'
type: 'job'
last_seen: '2026-09-09'
---

# Director of Data Engineering at Ruggable

- **Company:** Ruggable
- **Location:** Los Angeles California, United States
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/ruggable/jobs/7979457003

## Job description

About Ruggable:

Ruggable is a leading direct-to-consumer e-commerce brand based in Los Angeles, California with an extraordinary track record of high, profitable growth. We pride ourselves on having an extremely loyal customer base and a talented team made up of genuinely caring people who take action and deliver results. We are venture-backed and own a patented washable rug design that's disrupting the home décor industry. Our mission is to empower our customers to live vibrantly with beautiful products that don't compromise on function. If you're passionate about consumer products, e-commerce, and high-growth start-ups, keep reading!

Job Summary:

Ruggable is looking for a Director of Data Engineering to join our team! Technology is central to everything we do. The Technology team enables the infrastructure that powers our direct-to-consumer and wholesale business across three continents, eleven countries, and seven manufacturing plants, while supporting globally distributed teams.

We're looking for someone to lead both the day-to-day operations and the strategic direction of our data platform. This is a hands-on leadership role: you'll run a team of data engineers while also setting the multi-year vision for how our end-to-end data foundation and governance evolves to meet business needs and AI-driven initiatives.

What You'll Do:

- People Leadership & Coaching: Mentor, guide, and develop a team of data engineers, setting clear performance goals, setting engineering standards, unblocking technical hurdles, and fostering engineering excellence
- Hands-on Technical Contribution: Design, review, and optimize scalable data infrastructure, cloud lakehouses, automated data pipelines, and modern SDLC practices (CI/CD, IaC) to support operational reporting and co-work as well as advanced modeling and forecasting
- Strategic Road mapping: Establish and execute a multi-year data strategy that balances immediate business priorities with sustainable, long-term technical architecture
- Self-Service Acceleration:  Meet business users where they are on a varied maturity curve for reporting, and continue to evangelize and build a path toward more consistent, self-serve consumption of data across enterprise reporting and analytics tools
- Governance, Security & FinOps: Establish robust data governance, access controls, and data quality observability (reliability, freshness, volume, anomaly detection) for data products while actively monitoring and optimizing cloud compute and storage spend
- Community of Practice:  Establish and evolve engineering practices, standards, and processes as the team and platform scale

What You'll Need to Have:

Required:

- 8+ years in data engineering or related fields, with 3-4+ years leading, managing, or mentoring engineering teams
- Bachelor's degree in Computer Science, Engineering, or a related field or equivalent practical experience considered.
- Track record of building and executing multi-year data strategy and roadmaps, not just managing backlogs.
- Proven success balancing strategic vision and communication with hands-on code development and architectural design
- Deep hands-on background in modern data platform architecture: cloud data warehouses/lakehouses (e.g., Snowflake, BigQuery, Databricks, Redshift), data lakes, and lakehouse patterns
- Strong experience with ELT/ETL orchestration and transformation tooling (e.g., dbt, Airflow, Dagster, Fivetran)
- Fluency in SQL and at least one programming language commonly used in data engineering (Python, Scala, or Java)
- Experience designing and scaling semantic layers and BI/consumption layers (e.g., LookML, dbt Semantic Layer, Cube, or similar) that serve varied levels of business user maturity
- Working knowledge of cloud infrastructure (AWS preferred)
- Understanding of data modeling best practices (dimensional modeling, Data Vault, or similar) at scale
- Deep experience building, scaling, and maintaining production-grade machine learning and generative AI pipelines, including model serving infrastructure and feature stores
- Proven ability to establish comprehensive monitoring for enterprise AI systems, encompassing performance metrics (latency, throughput, cost/token usage), data/concept drift detection, accuracy degradation
- Demonstrated ability to translate technical strategy and architectural concepts into business terms for executive and cross-functional stakeholders
- Strong communication skills; comfortable operating across strategic planning and hands-on technical problem-solving
- Experience hiring, mentoring, and developing engineering talent, including senior/principal-level ICs
- Track record of managing budgets, vendor relationships, FinOps and cost management  for data infrastructure
- Experience partnering with AI/ML or analytics teams to enable AI-driven use cases on production data infrastructure
- Working knowledge of data privacy and compliance considerations (e.g., GDPR, CCPA, SOC 2) as they apply to data platforms

Preferred:

- Experience building or maturing data governance programs from an early stage, including data cataloging, lineage, quality frameworks, and access controls
- Infrastructure-as-code practices
- Familiarity with streaming/real-time data architectures (e.g., Kafka, Kinesis)
- Understanding of design and delivery of feature stores, vector databases, or retrieval-augmented architectures to support AI-Augmented operational solutions
- Establishing AI-specific safety metrics (hallucination tracking, bias, toxicity, and guardrail enforcement)

Compensation:

- $200,000 - $240,000 per year base salary
- An annual bonus percentage that varies based on level of role
- Employer matching (up to 3% of base salary) for company sponsored 401K plan

At Ruggable, we offer competitive compensation and benefits packages. Ruggable is an Equal Employment Opportunity employer. We proudly recruit and hire a diverse workforce and are committed to creating an inclusive environment for all employees.

If you are based in California, we encourage you to read this important information for California residents [linked here.](https://ruggable.com/pages/ccpa-candidates)

To all recruitment agencies: Ruggable does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Ruggable employees or any other company destination. Ruggable is not responsible for any fees related to unsolicited resumes.

## About Ruggable

## Company Overview
- **One-liner**: Ruggable designs and manufactures machine‑washable, stain‑resistant area rugs using a patented two‑piece system that separates the rug cover from the pad.
- **Entity Type**: Private (venture‑backed; seed‑stage funding rounds raised in 2017 and 2018)
- **Headquarters**: Gardena, California, United States
- **Founded**: 2017 (note: one source lists 2010, but the majority of recent data and the company’s own story indicate 2017)
- **Founders**: Jeneva Bell

## Core Business
- **Primary industries**: Retail / Consumer home goods, e‑commerce
- **Target customers**: B2C – homeowners, young families, pet owners, and busy individuals who value style and easy maintenance
- **Mission / purpose**: To create beautiful, clean spaces by offering rugs that can be washed at home – “where life comes first”

## Products & Services
- **Ruggable 2‑Piece Rug System**: The core product – a washable rug cover that attaches to a non‑slip rug pad via a patented two‑piece design. Available in a wide range of sizes, patterns, and collaborations with designers and brands. Type: Consumer durable / home textile.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Annual revenue estimated at approximately $23 million (source: Growjo/LinkedIn data). Total funding – two seed rounds (2017 and 2018) with undisclosed amounts.
- **Notable Investors / Partners**: Specific investor names are not listed in available sources; described as “venture‑backed.” Brand collaborations include partnerships with various designers and licensed brands.
- **Growth Signals**: 
  - Operates in 9 countries (US, Canada, UK, Germany, Austria, Australia, France, Netherlands, Scandinavia)
  - Appointed Nicole Otto as CEO in February 2025
  - Employs ~250 people with offices in 7 US locations and international hubs
  - Expanding product range beyond rugs into other washable home textiles

## Competitive Advantages
- **Patented two‑piece system**: The washable cover + pad design is protected and differentiates the product from traditional rugs.
- **Stain‑resistant and machine‑washable**: Addresses a clear pain point for pet owners, parents, and anyone wanting easy‑care rugs.
- **Design‑forward yet functional**: Collaborations with well‑known brands and designers provide style credibility alongside performance.
- **Direct‑to‑consumer model**: Strong brand and online sales channel reduce retail dependency.

## Strategic Focus
- **Product innovation**: Continuously improving rug construction and expanding into other washable home goods.
- **Global expansion**: Already in 9 countries, with further international growth likely.
- **Operational efficiency**: Recent hires in supply chain, manufacturing, and infrastructure roles indicate a focus on scaling operations.
- **Brand and marketing**: Investment in lifecycle marketing and creative content suggests continued brand building and customer retention.

## Why Work Here
- **Culture**: Values include “One Team, One Dream,” “Be Fierce,” “Customer First,” “Take Ownership” – promote transparency, accountability, and a relentless customer focus.
- **Work model**: Hybrid – employees work a combination of remote and on‑site. Offices in Gardena (HQ), Chicago, Charlotte, Los Angeles, London, Birmingham, Melbourne, and Vaughan.
- **Compensation & benefits**: Listed salaries range from $40/hr for contract roles to director‑level $133k/yr. Employee reviews on Indeed give a 3.0/5.0 overall rating, with work‑life balance at 3.2, but work wellbeing scored “low” (64/100) – partially due to perceived stress levels.
- **Engineering & tech**: Uses JIRA and other modern tools; team size ~30 in technical roles. Several senior engineering and infrastructure positions are open.
- **Notable**: The company has experienced some senior‑level departures in 2026, but also brought in a new CEO and continues to hire for critical roles.

## Sources
1. [Ruggable Careers Page](https://ruggable.com/pages/careers)
2. [Ruggable About Us](https://ruggable.com/pages/about-us)
3. [LinkedIn Company Profile](https://www.linkedin.com/company/ruggable)
4. [Built In Company Profile](https://builtin.com/company/ruggable)
5. [Indeed Company Page](https://www.indeed.com/cmp/Ruggable)

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