Full-Time

Staff Software Engineer

Updated on 6/12/2025

Unstructured

Unstructured

51-200 employees

Transforms unstructured data for machine learning

Compensation Overview

$190k - $280k/yr

Senior, Expert

San Francisco, CA, USA

Hybrid role requiring in-office presence 3 times a week.

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Microsoft Azure
Python
AWS
Google Cloud Platform
Requirements
  • 7 to 10+ years of experience shipping production systems in high-growth, high-scale environments.
  • Deep technical chops in Python, cloud-native systems (AWS/GCP/Azure), and distributed architectures.
  • Proven track record of leading major technical initiatives, mentoring engineers, and shaping team culture.
  • Passion for performance, reliability, and elegant design.
  • Strong communication and leadership presence—you make others better.
Responsibilities
  • Own the technical vision for some of the most complex and high-impact systems we build.
  • Drive long-term architectural strategy that enables scale, performance, and simplicity.
  • Write production-ready code and lead projects that move the needle—while mentoring engineers across the org.
  • Set the standard for clean design, thoughtful abstractions, and scalable patterns.
  • Solve deep technical challenges that others shy away from—think orchestration at scale, data flow optimization, and AI-first infrastructure.
  • Align engineering, product, and go-to-market teams around a shared technical roadmap.
  • Unblock teams, resolve architectural escalations, and help guide us through 'one-way door' decisions.
Desired Qualifications
  • Experience in AI/ML systems, unstructured data, or real-time pipelines.
  • Expertise in Kubernetes, IaC, or scaling SaaS infrastructure.
  • Startup DNA—you thrive in fast-moving environments and love turning ambiguity into action.

Unstructured.io focuses on transforming raw natural language data into formats suitable for machine learning applications. It caters to developers and data scientists who need to process unstructured data from various sources like HTML, PDFs, and CRM systems. The company provides open-source libraries and APIs that allow users to create custom preprocessing pipelines for tasks such as labeling and training machine learning models. Unstructured.io differentiates itself by offering rapid orchestration of these pipelines, along with features like cleaning scripts and regular expressions, ensuring data security during processing. The company's goal is to simplify the use of unstructured data for organizations, enabling them to make data-driven decisions more effectively.

Company Size

51-200

Company Stage

Series B

Total Funding

$65M

Headquarters

San Francisco, California

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • The AI as a Service market is projected to grow significantly by 2030.
  • Unstructured.io's partnership with DataStax enhances its role in enterprise RAG applications.
  • A $40 million funding round shows strong investor confidence in Unstructured.io.

What critics are saying

  • Increased competition from companies like DataStax could threaten Unstructured's market share.
  • The rapid growth of the AI market may attract new entrants, increasing competition.
  • Dependency on larger tech ecosystems may limit Unstructured's strategic flexibility.

What makes Unstructured unique

  • Unstructured.io specializes in transforming raw natural language data for machine learning.
  • The company offers open-source libraries and APIs for custom preprocessing pipelines.
  • Unstructured.io's platform ensures data security and seamless integration with downstream services.

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Benefits

Remote Work Options

Unlimited Paid Time Off

Home Office Stipend

Health Insurance

Dental Insurance

Vision Insurance

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

3%

2 year growth

31%
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Ai As A Service Market Worth $91.20 Billion By 2030 - Exclusive Report By Marketsandmarkets™

DELRAY BEACH, Fla., April 29, 2025 /PRNewswire/ -- The AI as a Service Market is expected to significantly increase from USD 20.26 billion in 2025 to USD 91.20 billion by 2030 at a CAGR of 35.1% during the forecast period, according to a new report by MarketsandMarkets™. Increasing demand for cost-effective AI solutions, cloud adoption, and demand for increased business efficiency drive the AI as a Service Market. AIaaS plays a key role in helping organizations boost data analytics performance, drive automation, and create more meaningful customer engagement. Furthermore, improvements in machine learning, natural language processing, and AI frameworks contribute to the market's growth in all segments of the industry. Browse in-depth TOC on 'AI as a Service Market'

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Mongodb Announces Expansion Of The Mongodb Ai Applications Program

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