5 дней назад
Senior Product Manager (Data Access)
148 000 - 254 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (Data Access) (Data Platform/AI): Building data access and integration capabilities for a scalable cloud-native platform supporting analytics, data science, and data management with an accent on secure distributed data systems, AWS access controls, and AI-driven experiences. Focus on defining product requirements, leading engineering teams, designing MCP-based and agentic AI integrations, and coordinating platform contracts across consuming teams.
Location: United States - San Mateo, CA
Base salary: $148,000–$254,000 per year
Company
provides cloud-based digital, core, analytics, and AI software for property and casualty insurers worldwide.
What you will do
- Own product direction for data access and integration capabilities within the Data Platform.
- Lead engineering teams from ideation through technical development and launch of data ingestion, access, and integration features.
- Define product requirements, supported patterns, scope, and acceptance criteria for engineering delivery.
- Define and ship AI-driven capabilities, including agentic AI experiences and MCP-based integrations.
- Drive integration contracts, dependencies, feature-level design sessions, stakeholder alignment, and delivery execution.
- Analyze product metrics, support customer adoption, and triage customer issues and escalations.
Requirements
- 5+ years of product management experience.
- 5+ years working with technical architecture for cloud solutions and security.
- Technical fluency with distributed data systems, including replication and CDC, Kafka-based streaming, Apache Iceberg, data cataloging, microservices, and AWS cloud infrastructure.
- Strong understanding of AWS IAM roles, policies, principals, and scoped or temporary credentials.
- Experience translating complex technical concepts into functional and persona-level product requirements.
- Ability to manage complex initiatives independently and communicate clearly across multiple teams.
Nice to have
- Experience defining and shipping agentic AI, LLM-powered, or MCP-related product features.
- Experience using AI-assisted approaches for requirements, design, and software delivery.
Culture & Benefits
- Flexible work environment.
- Health, dental, and vision insurance.
- Paid time off, including volunteer time off.
- Retirement plan and incentive programs for eligible roles.
- Continual development and internal career growth opportunities.
- All new hires participate in an in-person orientation process.
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