8 часов назад
Digital Product Manager (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Digital Product Manager (Generative AI): Building enterprise AI products and translating business priorities into measurable use cases with an accent on product strategy, experimentation, model lifecycle management, and responsible AI governance. Focus on refining prompts and model parameters, defining evaluation criteria, managing privacy and bias controls, and driving adoption through cross-functional collaboration.
Location: Hyderabad, India. Work shift: 2:00 PM–11:00 PM IST.
Company
is an asset manager with global teams focused on long-term wealth creation and client partnerships.
What you will do
- Translate business priorities into high-value Generative AI use cases, product narratives, annual visions, and quarterly roadmaps.
- Lead workshops, prototype concepts with data science partners, document experiments, and track progress toward production.
- Manage feature backlogs and model lifecycles, including prompts, model parameters, data sources, evaluation criteria, and testing.
- Assess Responsible AI risks and implement privacy, security, bias-mitigation, documentation, and audit controls.
- Define adoption metrics, gather user feedback, support training, and report business outcomes.
- Collaborate with architects and engineers on solution blueprints, enterprise integrations, performance, cost, and observability.
Requirements
- Experience in AI product management or digital product leadership.
- Experience working with data science and engineering teams.
- Exposure to model lifecycle and evaluation frameworks.
- Understanding of Generative AI architectures, model workflows, evaluation metrics, quality controls, analytics, and experimentation tools.
- Strong storytelling, communication, stakeholder influence, and cross-functional collaboration skills.
- Ability to work comfortably with ambiguity and rapid experimentation.
Culture & Benefits
- Inclusive, supportive, collaborative, and experimentation-driven environment.
- In-house classes and more than 150 web-based training courses.
- Educational assistance for continuing education.
- Medical, life, and personal accident insurance, including medical coverage for eligible dependents.
- Paternity leave, employee stock investment plan, personal loan assistance, transport, and childcare facilities.
- Onsite fitness and recreation facilities, cafeteria, gymnasium, library, health center, doctor availability, and campus ATM.
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