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NeptuneNE

Technical Product Manager

Neptune.ai is an experiment tracking platform designed for teams training foundation models in artificial intelligence and machine learning, providing scalable tools to monitor, visualize, and manage complex model training processes.

Neptune

Employee count: 51-200

AU, CA + 8 more

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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.

Any questions?

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.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Hiring timezones

United States +/- 0 hours, and 9 other timezones

About Neptune

Learn more about Neptune and their company culture.

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Neptune.ai is an experiment tracking platform specifically designed for teams engaged in training foundation models within the fields of artificial intelligence and machine learning. The company provides highly scalable tools that empower users to effectively monitor, visualize, and manage intricate and long-duration model training processes. Neptune.ai's platform is engineered to adeptly handle experiments that may span several months and involve multiple steps and branches, facilitating the efficient tracking of substantial data volumes and thousands of metrics.

Key functionalities of Neptune.ai include rapid filtering and searching capabilities for experiment data, swift visualization and comparison of diverse metrics, and the option for clients to deploy the platform on their proprietary infrastructure from the outset. This self-hosting capability is particularly beneficial for organizations undertaking advanced AI projects where large-scale experiment management is a critical requirement. Neptune.ai distinguishes itself through its dedicated focus on delivering scalability and speed tailored to high-volume, enterprise-level AI teams. The overarching goal of the platform is to assist organizations in achieving significant AI breakthroughs more rapidly, while concurrently optimizing resource utilization throughout the model development lifecycle. The platform supports a wide array of use cases, encompassing computer vision, Natural Language Processing (NLP), reinforcement learning, and time series analysis. Furthermore, Neptune.ai offers robust features such as various model deployment options, comprehensive security solutions, and seamless integrations with other widely-used ML tools. It serves as a centralized hub for all machine learning metadata, simplifying the process for engineers to locate and resolve issues.

Neptune.ai is utilized by a diverse range of AI-centric organizations, particularly those involved in the development and training of large-scale machine learning models. The company's mission is to enhance the efficiency of ML engineers by providing an intuitive means to track their work and foster collaboration, with the ultimate aim of establishing itself as the MLOps standard for ML teams globally. The platform is designed to be lightweight and technology-agnostic, enabling straightforward integration with any existing MLOps stacks. It allows for the logging of a wide variety of experiment metadata, including source code, Jupyter notebook snapshots, and Git information, offering users the flexibility to adapt the metadata structure to their specific needs.

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