Lead product definition and delivery for AI research tools by engaging data scientists and researchers, translating workflows into detailed specifications, owning the roadmap, collaborating with UX and engineering, and aligning stakeholders to prioritize and deliver MLOps-focused features.
We are seeking a Technical Product Manager with AI/ML Expertise to join our team. As a key member of the product and engineering team, you will play a crucial role in shaping the development of our AI research tools by working closely with our users (data scientists and AI researchers), identifying gaps in the market, and understanding the future of MLOps, in order to translate those needs into detailed product specifications, and managing their delivery. This position requires a deep understanding of AI/ML practices and an ability to work cross-functionally to deliver high-impact features.
Our tech stack:
- Languages: Rust, JVM (Java, Spring, Scala, Kotlin), Python.
- Data: ClickHouse, Kafka, Elasticsearch, Redis, MySQL.
- Cloud platforms: Microsoft Azure, Google Cloud Platform (GCP).
- DevOps tools: Kubernetes, Terraform, Helm.
- Others: Protobufs, gRPC, Swagger.
Responsibilities:
As part of our team, you will be:
- Engaging with AI/ML researchers and data scientists to understand their workflows, use cases, and pain points.
- Translating domain-specific user needs into detailed, actionable product specifications for the engineering and UX teams.
- Creating and managing the product roadmap from inception to delivery, balancing innovation, user needs, and customer requirements.
- Collaborating with UX designers to ensure user needs are reflected in the design while keeping the interface polished and user-friendly.
- Driving discussions with internal stakeholders (CTO, Head of Design, Engineers) to balance technical feasibility with user requirements.
- Maintaining awareness of the competitive landscape and identifying must-have versus nice-to-have features to ensure market competitiveness.
- Leading the collaboration between cross-functional teams to align on product solutions and oversee development.
You might be a fit if you have:
- Strong AI/ML domain knowledge, including experience in model training, quality testing, and knowledge of the latest trends (e.g., reinforcement learning).
- Experience working directly with data scientists or in research environments.
- Python programming experience (a plus).
- Excellent communication skills, with the ability to engage both technical and non-technical audiences, including researchers and engineers.
- Strong problem-solving and analytical skills to address complex user challenges and translate them into product solutions.
- Proven experience in working with UX designers and engineering teams to build user-centric products.
- The ability to influence and drive initiatives within cross-functional teams without direct authority.
We offer:
- Flexibility: 100% remote work with offices (co-works) in Warsaw/Wrocław/Kraków/Poznań available and flexible working hours.
- Ownership and Impact: The opportunity to take action, shape product features, and make a significant impact on the future of AI/ML tools.
- Growth and Development: Work with cutting-edge AI/ML research teams and be part of a highly collaborative environment.
- Share in our success: Participate in the Employee Stock Option Plan and be part of our growth journey.
Check our ultimate guide for candidates to the neptune.ai team.
Don’t hesitate to contact our Talent Acquisition team, and check out our About us page to get to know the story and faces behind Neptune.
By applying, you consent for neptune.ai to process your personal data to assess your suitability for the role you have applied for in accordance with the General Data Protection Regulation (GDPR). Your personal data will remain confidential and shared only with authorized personnel involved in the recruitment process. You have the right to access, rectify, or delete your personal data at any time.
With your optional consent, we can retain your data for up to 12 months after the application to consider you for future suitable roles if you’re not a match for the current position.
With your optional consent, we can retain your data for up to 12 months after the application to consider you for future suitable roles if you’re not a match for the current position.
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