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DevRel team

Developer Advocate, User Awareness specialization

As a Developer Advocate (User Awareness specialization) at Neptune, you’ll take ownership over building technical content and assets that help our users, prospects, and customers understand how Neptune can be used to solve their problems under given circumstances and limitations. We want you to become a trusted advisor in the user’s eyes and a thought leader in the MLOps community.

We are a VC-backed startup building a product for Machine Learning Engineers and Data Scientists in the exciting Machine Learning Operationalization (MLOps) area. We design Neptune to be extensible, flexible, and lightweight to ensure it fits any workflow and keeps up with this fast-paced field.


Our values:

  • Own it: we take ownership, no excuses. We trust that if you need it, you will look at the data, learn, ask for feedback or help, and collaborate to make things happen. You get total freedom to do it your way.
  • Make an impact: balance strategy with execution, learning, and proactiveness to create the most significant impact. Understand the reason why you are doing things but don’t overthink it. Make the most use of your skills and remember, it is the impact that matters.
  • Be direct: Be honest, be authentic, don’t waste time, get to the point, drop filters, and say what you mean. You can share your feedback with anyone. We all benefit from understanding each other better.


In this role, you will:

  • prepare and conduct technical demos;
  • build example projects, how-to guides, videos, and other technical content that help demonstrate Neptune’s use cases;
  • build partnerships with relevant tools from the MLOps ecosystem;
  • partner with the Marketing team and participate in relevant conferences as a speaker;
  • engage with ML communities to discuss MLOps topics and gather insights on the shape of the MLOps tools stack today.


Our requirements:

  • 5+ years of professional experience in IT (technical roles);
  • 3+ years of professional experience as a Data Scientist, ML Researcher, ML Engineer;
  • Excellent English skills – written and spoken (preferably native level);
  • Public speaking experience: planning, preparing, and presenting at ML conferences;
  • Experience in presenting technical products to technical audiences, including preparing necessary assets;
  • Hands-on proficiency with popular ML Python libraries, including, but not limited to PyTorch, TensorFlow, XGBoost, HuggingFace, scikit-learn, and others;
  • Being comfortable with doing deep market/tool/problem research and creating comprehensive materials based on it;
  • Strong organizational and prioritization skills;
  • Desire to learn new concepts.


Nice to have:

  • 1+ year of work experience in the DevRel or similar role;
  • 1+ years of work experience in operating production models;
  • Contributions to the open-source ML community (code, docs, tutorials, technical blog posts);
  • Experience in contributing to the technical documentation, especially writing tutorials and how-to guides;
  • Experience programming in R or Julia.


We offer:

  • Fully remote work and flexible working hours;
  • A place on a team where: 
    • good technical content is something we care about,
    • when we do things, we understand why,
    • you fully own and drive your projects (extreme ownership, zero micromanagement);
  • The thrill of building a world-class product for some of the most innovative people on earth;
  • Startup atmosphere and a lot of autonomy;
  • Competitive salary (inflation-indexed) and opportunity to participate in the Employee Stock Option Plan;
  • 20 paid service-free days per year;
  • Co-financing of Multisport card, private medical care, and free lunch if you ever happen to be at the office.


Any questions?

Don’t hesitate to contact our Talent Acquisition Partner, Karolina, and check out our About us page to get to know the story and faces behind Neptune.

Apply now