AI Community Growth Manager (f/m/d)

Berlin /
Dev Rel /
Full Time
🙌 Who are we?

- A commercial open source company that focuses on MLOps platform for multimodal and neural search.
- Founded in Feb. 2020, raised $37.5M in 20 months. Now a global team of 50 with four offices: Berlin (HQ), San Jose, Shenzhen, and Beijing.
- One of the high-valued & high-potential AI startups in the world, featured on Forbes DACH AI30 2020, CBInsights AI 100 2021 & 2022.

😊 Benefits & Perks

💰 Competitive salary & stock options
🌎 Multi-cultural & diverse team
🎓 Numerous opportunities to present/attend top AI/OSS/industry conference
🦄 Rapid career development opportunities alongside the company
🏢 Central office in downtown Berlin, San Jose, Shenzhen, Beijing
⛱️ Free snacks & drinks, monthly team events, flexible working hours, home office options
💻 Macbooks & top-notch equipment

✨ Who do we want?

- You are passionate about multimodal intelligence and making it accessible to everyone.
- You want to work with the latest technologies and are fascinated by AI/ML.
- You are a fast learner and a team player and enjoy working in an async, distributed environment.
- You are proactive and take ownership of your projects.
- You have excellent communication skills in English.

💁 About this position

As a Community Growth Manager, you’d be assisting in helping deepen the understanding of the open source community and serve as the primary source of contact between the user contact groups and Jina AI. We're looking for people with strong communication skills to advocate and aid our company's growth.
 
Your main responsibilities would include:
 
1. Serving as the primary source of contact of the community between users of the company's open source software products and Jina AI
2. To build and maintain relationships with key members of the community, including developers, power users, and other influencers
3. Help in understanding the needs and requirements of the community, as well as working with the development team to prioritize features and enhancements
4. Serve as a liaison between the community and the company, communicating community feedback to the appropriate internal stakeholders
5. Serve as an advocate for the community within the company, and work to ensure that the community's interests are represented in company decision-making
6. Help with organizing and managing community-focused events and initiatives, such as user group meetings, conferences, and hackathons.
7. Write and maintain documentation and other resources to help users get the most out of the company's open source software products
8. Monitor community activity and identify trends and issues of concern
9. Provide support and assistance to community members as needed

Requirements for this position would include:

    • Bachelor's degree in computer science or related field
    • Individuals with 3+ years experience in community management or related field
    • Individuals who have experience with AI or machine learning technologies
    • Experience with open source software development is key
    • Individuals who have strong written and verbal communication skills
    • Individuals who have the ability to work independently, as well as those who are active team members
    • Individuals who are detail-oriented and organized
    • Individuals with a passion about AI and machine learning
💼 Hiring Process

Candidates can expect the hiring process to follow the order below. Please keep in mind that candidates can be declined from the position at any stage of the process. 

- The first round is the CV screening, candidates will receive an email that contains a link for booking the next round. This process takes a maximum of one week.
- Qualified candidates will be invited to schedule a 30-minute screening call specifically on Zoom with one of our global recruiters. For engineering candidates, after this interview candidates will receive an email and be asked to complete an offline code challenge. On average the candidates can finish it in 30 minutes.
- Next, candidates will be invited to schedule a 60-minute interview with two team members from the relevant team. For engineering candidates, the team will examine the quality of the offline challenge during the interview; one should also expect a live-coding challenge in 10 to 15 minutes.
- Finally, candidates will be invited to schedule a 30-minute interview with CXO.

We will collect the feedback from all interviewers and make a decision in a maximum of two weeks (on average it takes 5 working days). Then the candidate will be invited to another 15-minute call with our recruiters to discuss the terms of the offer.