Baseten

Developer Advocate

San Francisco, California, United States

$125,000 – $175,000Compensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should have a Bachelor's degree in Computer Science or a related field and at least 2 years of professional experience as a software engineer. A strong technical background and general software engineering knowledge, particularly proficiency in Python, are required. Candidates must possess deep technical knowledge in cloud infrastructure, AI engineering, or model inference performance optimization, along with a demonstrated interest in AI/ML topics, ideally having built something with a generative model. Excellent content creation skills across multiple mediums, with specific expertise in one medium, are necessary. Candidates should be based near San Francisco or New York and able to attend frequent weeknight events.

Responsibilities

The Developer Advocate will create content such as blog posts, videos, social media posts, and tutorials to teach developers how to deploy, optimize, and scale generative AI models on Baseten. They will build demos, documentation, integrations, and other technical artifacts to inspire and educate developers. Engaging with Baseten’s customers and community online and at events, from small meetups to large trade shows, is essential. The role involves establishing expertise to position Baseten as a leader in AI inference infrastructure by leveraging third-party channels like conferences and podcasts. The Developer Advocate will build an engaged audience of ideal customer profiles on social media and will travel up to 25% to represent Baseten at conferences and events while working cross-functionally with both GTM and engineering teams.

Skills

Python
Cloud Infrastructure
AI Engineering
Model Inference
Content Creation
Software Engineering

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.

Key Metrics

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.

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