Remote Vacancy.

T-Bank (ex. Tinkoff) is looking for an ML Product Lead (AI Agents).

The team is developing an AI agent that transforms customer service at T-Bank: improving service quality and reducing operational costs. A key feature of the solution is that the model controls an employee's computer and operates within real internal systems. The agent follows a "human-in-the-loop" principle: with high confidence, it performs actions automatically (executes scenarios, fills out forms, responds to clients); in complex cases, it connects an operator. All actions are logged and used for model retraining – each operator actually participates in its development.

The product is already in production and automates a significant portion of operations in real dialogues. It's a full-cycle product team: we handle research, training our own models, backend and frontend development, releases, and A/B testing. The team has about 50 people, mostly engineers.

Responsibilities:

• Formulate the product vision and development plan for a key product, integrating business goals, user data, and ML capabilities into a unified strategy.
• Lead a team of product managers: hire, develop, provide feedback, distribute areas of responsibility, and ensure the achievement of goals across directions.
• Define priorities at the product level and allocate resources across directions.
• Establish product processes and quality standards: approaches to formulating hypotheses, selecting metrics, making decisions, and synchronizing with ML and analytics.
• Interact with management, contact centers, and adjacent teams: defend the strategy, present results, and eliminate blocking factors.
• Participate in key decisions regarding the ML part of the product: define data requirements, annotation approaches, target metrics, and automation levels.
• Be responsible for achieving key product metrics for the core product: automation, agent performance quality, and business impact.

Requirements:

• You have 3+ years of experience as a Product Manager in ML/AI products or in technically complex products with a willingness to quickly dive into ML.
• You have experience in forming a product strategy, prioritizing, and developing a product with measurable growth in usage and impact on business metrics.
• You have experience in hiring, developing, and mentoring product managers and establishing product processes.
• You possess systemic thinking and can see the connection between UX, data, ML, and business outcomes.
• You understand the basics of ML and LLM products: supervised learning, model quality metrics, data handling, and the principles of LLM and agent operation.
• You understand the principles of good UX and can guide product and design decisions.
• You can build interaction with stakeholders and communicate decisions to various audiences.
• Experience with contact centers, service departments, or corporate efficiency tools, as well as experience launching or developing 0-to-1 products in a fast-growing environment, will be a plus.
• Experience with ML/AI products, including model fine-tuning, ML pipeline design, and selection of quality metrics, will be an advantage.
• Confident proficiency in SQL and independent data analytics work, as well as an understanding of statistics and A/B testing at the experiment design level, will be an advantage.

The Company Offers:

• Work in the office or remotely – by agreement.
• Opportunity to work in an accredited IT company.
• Voluntary Medical Insurance (DMS) with dental coverage, including check-ups, reimbursement for medications, and preferential insurance terms for loved ones. Also, accident and illness insurance.
• Career growth track: take courses in soft and hard skills, develop with mentor support, and advance your level with a competency matrix and regular reviews.
• Strong community. You will work with experts in your field, share knowledge, speak at conferences, attend meetups, and write articles.
• Online consultations with psychologists, lawyers, financial specialists, and healthy lifestyle experts.
• Compensation for sports club memberships, the T-Sport app for online classes, and team workouts with colleagues.
• Three additional days of vacation – can be used for rest or compensated.
• Special rates on T-Bank products and a wide discount program from partners.
• Competitive salary – discussed during the interview.