Product Manager in ML & AI for B2B

AI Studio is a platform for creating and deploying LLM and VLM models in business products. We are building the next-generation infrastructure that allows companies to deploy their AI solutions, evaluate model quality, and launch production scenarios as simply as they connect to the OpenAI or Vertex AI API today.

We combine a strong engineering culture with a deep understanding of ML to provide businesses with tools that truly work: from foundation models to custom agents and RAG solutions.

What tasks await you

Shape product ownership and client feedback loop We need to understand the pain points and context of our clients: from AI startups to large corporations. You will translate feedback and requests into clear specifications, maintain a public roadmap, and prioritize features that truly impact adoption.

Launch and develop features You will formulate a clear release overview, completion criteria, and results by which we will measure success, conduct post-mortems and launch retrospectives, document insights and lessons, and control the balance between iteration speed and product quality.

Work out user scenarios and CJM You will work out key flows from model connection to integration into production, collaborate with designers and engineers to simplify complex things: from ML evaluations to inference pipelines, ensure UX integrity and interface clarity even for complex ML functions.

Conduct product analytics You will formulate success metrics: engagement, activation, model quality, latency, cost. Work with data, build dashboards, draw conclusions based on numbers, track the effectiveness of models and new tools.

We expect you to

• Understand how businesses use AI in the B2B segment
• Can identify the main points in decision-making processes
• See the big picture of the product and understand product metrics
• Have a basic understanding of ML models, their properties, and the inference process
• Have basic knowledge of Python and SQL
• Know how to structure information and meet deadlines
• Have worked with clients or internal stakeholders

It will be a plus if you

• Have experience working with B2B products
• Have participated in launching ML solutions into production
• Have worked with analytics systems such as Tableau or Yandex Metrica
• Understand UX principles for complex B2B tools
• Have conducted training sessions or presentations