Documentation Engineer / Technical Writer at Baseten

San Francisco, California, United States

Apply Now

$150,000 – $200,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

2-4 years of experience writing technical documentation, preferably for developer tools, infrastructure, or AI/ML products
Exceptional writing ability—you can explain complex technical concepts clearly and concisely
Technical aptitude to understand APIs, infrastructure concepts, and developer workflows
Self-directed work style with ability to manage multiple documentation projects independently
Experience working with documentation platforms, markdown, Git, and developer tools
Portfolio of technical writing samples that demonstrate your ability to create clear, useful documentation

Responsibilities

Own Baseten's entire documentation—from getting started guides to advanced API and SDK references
Write new documentation for every feature we ship, ensuring nothing launches without great docs
Continuously improve existing documentation based on customer feedback, support patterns, and product evolution
Establish and maintain documentation standards, style guides, and best practices
Maintain our docs-as-code platform and proactively automate reference documentation
Create mental models that help developers understand how Baseten works and why it's designed the way it is
Develop code examples and sample projects that demonstrate best practices and common patterns
Ensure documentation serves developers at all levels—from those deploying their first model to ML engineers optimizing for production
Work closely with Product and Engineering to understand upcoming features and their customer impact
Collaborate with Customer Success to identify documentation gaps and common pain points
Partner with Product Marketing on technical content, blog posts, and product announcements
Track documentation metrics including usage, search patterns, and user feedback
Identify and fix documentation gaps proactively based on support tickets and customer conversations
A/B test different documentation approaches to improve comprehension and retention
Build processes that make documentation a first-class part of our product development cycle

Skills

Technical Writing

Documentation Engineering

API Documentation

SDK Documentation

Docs-as-Code

Style Guides

Baseten

Platform for deploying and managing ML models

About Baseten

Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$58.4MTotal Funding

SERIES_BCompany Stage

AI & Machine LearningIndustries

51-200Employees

Benefits

💰 Competitive compensation: We aim to provide 90th percentile (or better) salaries and equity grants for every team member commensurate with their experience.

🌎 Remote-first work environment: The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. We provide a $1,000 stipend for you to make your home office comfortable and productive.

🏓 Regular in-person team summits: We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better.

🌴 Unlimited PTO: We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day.

🏥 Full healthcare coverage: Medical, dental and vision insurance for you and your family.

🍼 Paid parental leave: 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work.

📈 401(k): Company-sponsored 401(k) for you to contribute to.

🧠: Learning and development budget: We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen.

Risks

Increased competition from specialized AI models tailored for specific industries.

Potential over-reliance on Google Cloud Marketplace may limit flexibility and control.

Rapid AI model development could render Baseten's offerings obsolete without continuous innovation.

Differentiation

Baseten offers a serverless backend for machine-learning applications with auto-scaling.

Truss, an open-source model packaging framework, allows seamless deployment of custom models.

Baseten's platform provides comprehensive monitoring tools for efficient model performance tracking.

Upsides

Integration with Google Cloud Marketplace boosts visibility and customer acquisition potential.

$40M Series B funding enhances Baseten's platform capabilities and market reach.

Chains framework positions Baseten for complex AI workflows, attracting sophisticated projects.

Land your dream remote job 3x faster with AI

Try Jobo Free