Mattoboard
 is hiring a fractional

Founding Data Engineer

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This is a Featured Job

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Weekly Commitment

10 - 20 hrs

Compensation Range

$90K - $170K yearly equiv.

Company Stage

Early-stage VC

Industry

Interior Design

Location

Remote
moonlight ok
moonlight ok
convert full-time
convert full-time
equity offered
equity offered
hands-on needed
hands-on needed

Note: We've kept the name of the company private. If you'd like to know the company before requesting an intro, just email us at hello [at] fractionaljobs.io

About The Job

Mattoboard is an early stage startup pushing the state of the art on how creatives can design and work with real world materials on the web. We started with Interior Design, an underserved industry where designers start their projects with 3D moodboards. We are pushing the state of the art in web based 3D, Generative AI & Large language models. Can read about us here: https://techcrunch.com/2025/02/11/mattoboard-picks-up-2m-to-bring-ai-visual-search-to-its-3d-mood-board-for-designers/

Role

Data Architecture & Infrastructure: Design and build scalable data pipelines and storage solutions (ETL/ELT) to collect, clean, and normalize structured and unstructured data from web sources.

Web Scraping & Ingestion: Architect robust, fault-tolerant scraping systems using tools like Scrapy, Puppeteer, or custom crawlers; ensure compliance with robots.txt and rate-limiting best practices.

Search & Retrieval: Implement and optimize search stacks (e.g., Elasticsearch, Typesense) for full-text, faceted, and vector-based retrieval.

LLM Integration: Integrate large-language models (e.g., OpenAI GPT, Anthropic Claude) into search workflows—design prompt chains, fine-tune or embed models, and evaluate relevance metrics.

Candidate should be a software generalist with a good background in emerging AI techniques and general web based development.

We are a very small team and fully remote. We are open to both full time/part time positions, equity, etc.. Interested candidates please tell us what exceptional work you have done in any software field.

How to Apply

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If we think there's a fit, we'll reach out to schedule an intro call. Looking forward!

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