BD Manager - Technical Partnership (f/m/d)

Berlin /
Marketing /
Full Time
/ Hybrid
🙌 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 BD Manager -  Technical Partnership, you would get the chance to work with Jina's global marketing team to aid in building brand awareness, business analysis, lead generation, partnership management, etc. We want individuals with a flexible mindset, and strong management and leadership skills who have an eye for identifying current trends in the MLOps industry and open source community.  


    • Conduct marketing research and maintain relationships with researchers in the IT industry. 
    • Provide in-depth analysis based on the status of key growth metrics. 
    • Build up a paid media marketing strategy including budget planning. 
    • Identify collaboration opportunities and build up strategic partnerships with cooperations.


    • Major in Computer Science, Statistics, Business or other related Engineering field with Bachelor degree;
    • 3- 5 years of professional experience in data analytics, business analysis, marketing insight or consulting position;
    • Demonstrated experience in preparing and executing presentations of technical and business level data;
    • Excellent written and verbal communication skills in English and multilingual would be a plus;
    • Ability to interact with a broad set of businesses, presenting both over Proven track record of successful internal and external relationship management.
    • Strong team player and contributor.
    • Strong analytical abilities.

Preferred Qualifications

    • Professional experience in industry study.
    • 3 years’ SaaS/Cloud product sales, business development, account management or consultant experience as an individual contributor.
    • Ability to work cross-functionally and with a wide range of employees with different skill sets and backgrounds.
💼 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 Peer Interviews with team members from the relevant team. There are two rounds of Peer Interview, 1st is Technical Peer Interview and the 2nd is Team Peer Interview. For engineering candidates, the team will examine the quality of the offline challenge as well as you fundamental knowledge and coding skill during the Technical Peer Interview; one should also expect a live-coding challenge in 10 to 15 minutes. As long as candidates passed the Technical Peer Interview, they will be invited to talk with specific Team Lead in the Team Peer Interview stage. The interview will be more relevant to practical problem solving.

- 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.