Junior Technical Project Manager (AI and Machine Learning)
NasdaqJoin Our AI and Machine Learning Team as a Junior Technical Project Manager
The AI Core Dev team at Nasdaq is at the forefront of innovation, building AI capabilities across our entire portfolio of products. Our team has successfully launched AI-powered indexes, data integrity products, and the world’s first AI-powered option listing system. We are seeking a highly motivated and organized individual to join us as a Junior Project Manager in the vibrant tech hub of Vilnius, Lithuania.
Role Overview
As a Junior Technical Project Manager, you will play a crucial role in ensuring that the latest AI advances solve real challenges in capital markets and drive inclusive and transparent economic growth worldwide. This position is perfect for someone passionate about technology, AI, and machine learning, looking to kickstart their project management career in a dynamic and innovative environment.
Key Responsibilities
- Assist in overseeing and coordinating project activities to ensure they are completed on time and within budget.
- Collaborate with cross-functional teams to plan project timelines, set goals, and track progress.
- Prepare project documentation, reports, and presentations for stakeholders.
- Support the project manager in identifying risks, issues, and dependencies, and help develop mitigation strategies.
- Organize and facilitate team meetings, providing meeting agendas, minutes, and action items.
- Act as a liaison between team members, stakeholders, and external partners to ensure effective communication.
- Assist in the implementation of project management tools and methodologies to enhance project efficiency.
Qualifications
- Bachelor’s degree in a relevant field such as Computer Science, Engineering, Business Administration, or relevant work experience.
- Strong interest in tech, AI, and machine learning with a desire to learn and grow in this field.
- Excellent organizational and time management skills with the ability to prioritize tasks effectively.
- Good communication and interpersonal skills to collaborate with diverse teams.
- Basic understanding of project management principles and methodologies is a plus.
- Proficiency in project management tools like Jira, Trello, or Asana is desirable.
- Fluency in English, both written and spoken.
What We Offer
- Monthly base salary ranging from 2300 to 3000 EUR gross, based on experience and skills.
- An opportunity to become a Nasdaq shareholder through our Employee Stock Purchase Program.
- III pillar pension plan with additional contribution from Nasdaq.
- Flexible health insurance program.
- Flexible working schedule and hybrid way of work.
- Additional paid leave days after 2 years of working at Nasdaq.
- Flex day program (up to 6 paid days off a year).
- Internal mentorship program – get a mentor or become one.
- Wide selection of online learning resources, e.g., Udemy.
If you are a proactive and ambitious individual looking to launch your career in project management within the exciting world of tech, AI, and machine learning, we want to hear from you! Apply now to join our team in Vilnius, Lithuania, and be part of a cutting-edge industry poised for exponential growth.
Equal Opportunity Employer
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Benefits Extracted with AI
- Pension plan
- Medical insurance
- Annual monetary bonus
- Employee Stock Purchase Program
- Flexible health insurance program
- Flexible working schedule
- Additional paid leave days
- Internal mentorship program
- Online learning resources
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