Splice Machine, an AI predictive platform startup company, is hiring a Senior Technical Writer to develop and maintain the documentation for the Splice Machine Product family. Work from anywhere in the US.
Splice Machine’s predictive platform solution helps companies turn their Big Data into actionable business decisions. Our predictive platform eliminates the complexity of integrating multiple compute engines and databases necessary to power next-generation enterprise predictive AI and Machine Learning applications.
Some of our use-cases include:
At a leading credit card company, Splice Machine powers a customer service application that returns sub-20ms record lookups on 7 PB of data
At a Fortune 50 bank, Splice Machine is replacing a leading RDBMS and data warehouse with one platform in a customer profitability application
At an RFID tag company, Splice Machine is replacing a complex architecture for a retail IoT solution
At a leading financial service company, Splice Machine powers an enterprise data hub for 10,000 users
At a leading healthcare solution provider, Splice Machine powers a predictive application to learn models and use them to save lives in hospitals
Splice Machine’s CEO/ Co-Founder, Monte Zweben, is a serial entrepreneur in AI, selling his first company, Red Pepper, to Peoplesoft/ Oracle for $225M and taking his second company Blue Martini, through one of the largest IPOs in the early 2000s ($2.9B). He started Splice Machine to disrupt the $30 billion traditional database market with the first open-source dual engine database and predictive platform to power Big Data, AI and Machine Learning applications.
Splice Machine has recruited a team of legendary Big Data advisors including, Roger Bamford, “Father of Oracle RAC”, Michael Franklin, former Director of AMPLab at UC Berkeley, Ken Rudin, Head of Growth and Analytics for Google Search, Andy Pavlo, Assistant Professor of Computer Science at Carnegie Mellon University and Ray Lane, former COO of Oracle, to collaborate with the Splice Machine team as we blaze new trails in Big Data.
5+ years of technical writing experience in the software industry.
Experience writing technical documentation for developers from scratch
Strong critical reading and writing fundamentals
Experience with database technologies (NoSQL or RDBMS) or data warehouse technologies
Experience with distributed systems and/or security technologies (e.g. encryption) and authentication protocols (e.g. LDAP)
Understanding of Cloud management platforms like Cloudera
Familiarity with Jupyter notebook systems and Machine Learning basics
Experienced with testing and validating documentable features and concepts
Other Helpful Skills
Understanding of Docs-as-Code approach to technical documentation
Experience with Jekyll or another Static Site Generator
Experience editing content in Markdown (we use the Kramdown dialect)
Advanced CSS/SASS experience
Experience with JIRA or a similar Agile issue/bug tracking system
Comfort with MacOS and Linux command line use
Ability to create and edit simple BASH shell scripts
Experience using SSH and FTP clients for server access
Telecommuting is allowed.
About Splice Machine
INNOVATING IN SAN FRANCISCO – AND AROUND THE WORLD
Splice Machine is the operational AI data platform to simplify digital transformation. Unlike other data platforms that require duct-taping separate systems together, the Splice Machine data platform is a scale-out SQL RDBMS, data warehouse and machine learning management solution in one.
The Splice Machine platform powers intelligent, mission-critical applications that are woven into the operational fabric of companies in the financial services, healthcare, industrial and consumer verticals to improve operational efficiency, eliminate unnecessary costs and deliver superior service. The Splice Machine data platform can be deployed on-premise or as a fully-managed cloud service.
We are headquartered in the South of Market (SOMA) neighborhood of San Francisco and operate with a global, distributed workforce.