Senior Developer Documentation Writer, DataRobot
$108.4-202.1k
Value-Driven AI for business
Job no longer available
Value-Driven AI for business
501-1000 employees
Job no longer available
$108.4-202.1k
501-1000 employees
Company mission
To change the way businesses all over the world make their most important decisions.
Role
Who you are
- The candidate must have proven experience producing technical content for public consumption, addressed to persona-centric audiences, including:
- Strong technical understanding of REST APIs, HTTP, SDKs, Python in particular
- Experience with OpenAPI/Swagger 3+ specification
- Ability to understand code snippets, learn the why and how, and embed them in documentation
- Excellent, clear, clean, accessible writing; obsessive eye for consistency and technical accuracy
- Laser focus on--and commitment to--deadlines; familiarity with continuous deployment practices
- Ability to thrive, without much oversight, in a fast-paced, constantly changing environment
- Ability to manage multiple project-based documentation assignments simultaneously
- Experience with documentation and source control systems and workflow tools--GitHub, JIRA/Confluence, Markdown
- Ability to write in a range of styles and tones, from highly technical to informal prose
- Bachelor’s degree and 5+ years professional work experience in API documentation
What the job involves
- As DataRobot pivots towards the code-first user, stellar technical documentation for those users becomes even more important
- Currently, our API documentation is written by developers and included in the code, and, as a result, tends to lack the polished completeness that a technical writer brings to the task
- To fully engage code-first users, DataRobot is extending our API documentation to help ensure coding users' success by improving the site, the usability, and the content breadth and quality
- We are looking for a writer who can help us deliver on this newly launched priority initiative
- Create and maintain persona-centric documentation for API users and “data scientists who code”--examples and how-to content for API functions and methods
- Work with developers and technical product managers to update, verify, and improve documentation of language packages for the developer community
- Work with developers and data scientists to test, play with, and document the code snippets they create
- Work closely with engineering, product, and support teams to ensure the quality, discoverability, and accuracy of the content you create and develop
- Peer edit other documentation content to learn platform-wide functionality and apply learnings to API content
Our take
DataRobot is an enterprise AI platform that helps business analysts develop predictive analytics without requiring any knowledge of programming or machine learning. The platform uses machine learning to build and distribute accurate predictive models quickly by automating users' end-to-end journeys.
Unlike its competitors, such as Domino Data Lab, Captricity, and Datameer, DataRobot's primary selling point is its extensibility. Depending on the job function or comfort level users opt for, they have the option to take complete control of their workflow. Business analysts are free to use the platform as a wizard, but more experienced data scientists have the opportunity to alter many parameters in order to develop precise models.
DataRobot's customers have developed over 500 million models on the DataRobot Cloud on AWS after it earned Amazon Web Services (AWS) ML Competency status. By selling its AI toolkits to more than a third of the Fortune 50, including Kroger, Nationwide, and Lenovo, the company has continued to go from strength to strength and has been recognised as a leader in the space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-35% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Jun 2021
$300m
SERIES G
Dec 2020
$50m
SERIES F
Total funding: $1.1bn
Company benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
- Work from Home Opportunities
- A World-class Team
- Company Outings
- Open Door Policy
Company HQ
Financial District, Boston, MA
Leadership
Debanjan Saha
(CEO)Previously the VP of Data Analytics at Google and VP of managed database services at Amazon.
Salary benchmarks
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