Right now, there are almost 500 open positions for Developer Evangelists on LinkedIn. This is a huge number given how niche this skill set is. Almost all tech giants, especially one’s with a product mandate has an opening right now, including SAP, IBM, AWS, Facebook, Microsoft; and a lot of these are in machine learning or related technologies.
Google has one specifically for TensorFlow in Beijing (they call their evangelists – Developer Advocate). While the job description says, “Present TensorFlow APIs to ML developers, enabled by a deep understanding of TensorFlow APIs and products”, the goal is simple – increase the adoption of TensorFlow among developers. How it is done is the complex bit.
Why do Developers Evangelism
In the last decade, Tech firms have increasingly realized that Traditional Advertising is not effective with Developers. 15-20 years back, the mandate on a specific technology came from top management (mostly CIO) and the developers had to adopt these technologies, usually by hard learning and slow experimentation. Things changed drastically in the last decade. A couple of things happened:
- Developers have significantly higher options to work with, especially with the rise of open source technologies. This would mean that they have an ability to try and adopt quicker but show a better RoI on their efforts.
- Developers’ ability to form communities and have active discussion has increased. This would mean better peer review and word of mouth on technologies available to them.
- Developers’ have gained an increasing influence in the enterprise today. So, instead of a top to bottom adoption of technologies in the enterprise, today developers have much higher say on what technologies they would like to work with given a framework or use case.
Tech firms have realized this shift and have geared their arsenals to target developers more actively. But this demographic does not respond to traditional advertising as well as top management does.
How do they do it
The first and most important aspect of developers’ advocacy is to separate evangelism from marketing. Direct placement of products infront of developers is almost always frowned upon. The right way is an approach of community building and helping out developers with information and answers.
Most tech firms today have a dedicated developers unit internally that evangelize their products to the internal as well as external developer communities. Intel Software has a robust developer group that does a myriad of tasks, including and not restricted to publishing content, documentation and code samples. The group also provides access to forums and training to developers besides connecting with them at meetups and conferences.
Meetups have become a viable offering by many tech firms to engage directly with developers. NVIDIA plans for a meetup to bring to data scientists a workshop format meetup that focuses on tools needed for GPU acceleration. Attendees will be able to learn how to implement GPU acceleration in everyday ML and DL tasks.
Similarly, large format conferences have sprung up and almost all tech firms have one flagship such conference. Apple has WWDC, Microsoft has Build, Facebook has F8, AWS has Re:Invent. The list is big.
Infact third-party developers conference works best since company-specific conferences still tend to have a marketing tone to it. Machine Learning Developers Summit in Bangalore saw more than 800 ML developers participate with companies like Microsoft, Intel, SAP, AWS & Oracle demo their products.
Besides all of the above, developers advocacy groups connect with influencers, prepare articles and demos, organize hackathons, document good code examples. AWS Developer center has an active discussion forum, hosts tools, documentation, and sample code, step-by-step tutorials and videos.
There’s a lot more to developer evangelism and the needs are only growing with Machine Learning and AI practitioners gaining even more prominence. Firms have a higher focus on ML products in recent years and ML developers are a rare breed to find. Catching them early and locking them to the company’s products is the go-to strategy right now.
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Bhasker is a Data Science evangelist and practitioner with proven record of thought leadership and incubating analytics practices for various organizations. With over 16 years of experience in the area of Business Analytics, he is well recognized as an expert within the industry. Earlier, Bhasker worked as Vice President at Goldman Sachs. He is B.Tech from Indian Institute of Technology, Varanasi and MBA from Indian Institute of Management, Lucknow.