What we’re looking for

We are seeking our first full-time technical writer to drive our documentation efforts in collaboration with both internal teams and our wider open-source developer community. You will be a core part of the product management team, creating resources that don’t just document what our product does, but accelerate a user from novice to power user.

You’ll report to Eden Afek, our Senior Product Manager, and work closely with the rest of the product team, marketers, and engineers to break down complex, technical information into clear, concise, and accurate documentation. This is an opportunity to be a part of creating the groundbreaking technology that will transform the machine learning ecosystem.

What you’ll do

• Establish, own, and develop an end-to-end documentation process to help users understand the nuts and bolts of our product, drive product adoption, and increase overall utilization.
• Champion the Docs as Code model of documentation as the owner of our internal and external documentation.
• Partner with cross-functional stakeholders to produce high-quality documentation, including in-depth user walkthroughs, integration docs, API developer guides, and tutorials that work within the platform, with meticulous attention to detail**.**
• Write about core AI and machine learning concepts and product functionality that engages our target users: data scientists and researchers at all levels across all industries.
• Evaluate and optimize our current authoring tools to streamline the documentation process and improve the overall user experience.
• Work alongside the developer advocacy and design teams to develop and launch multi-media training curricula, lesson plans, and course materials.
• Proactively gather feedback from our customers and open source community on documentation to improve usability and accessibility for users across the globe.
• Conduct audits on existing documentation to ensure consistency and accuracy as the product evolves over time.

How we evaluate your candidacy

Our interviews will not only give us insight into your skillset, but give you insight into our company.

• Recruiter Interview – 15 minutes: You will speak with our recruiter about your background and what you are looking for in your next role. We want to know why you are interested in joining us and what questions you have about the team.
• Hiring Manager Interview – 45 minutes: The first interview will be an introductory interview focused on discussing your experience and reviewing your writing samples. At this point, we will provide a preparation guide for each interview, along with information on logistics and interview tools, including Google Meet and CoderPad.
• Virtual Onsite – 3 hours: You’ll have the opportunity to meet one of our research engineers, our two product managers, and our Head of Developer Advocacy for 30-45 minutes each and work through exercises spanning API documentation, code samples, machine learning (for non-engineers), and culture. You will also meet our CEO, William Falcon, to chat about your background, what you’ve learned, and why you’d like to work with us.
• Offer: We try our best to give you a decision within 24 hours of each interview, regardless of whether we are moving forward or passing on your candidacy. We will present our offer and provide additional context about our stock options and growth trajectory.
• Start Date: Given our early stage, we would like all of our new hires to start within 4 weeks of acceptance.