2 дня назад
Staff Product Manager (Data Products and Agent Interface)
182 600 - 295 350$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (Data Products and Agent Interface) (Data Platforms/AI): Leading end-to-end data products from SDK event ingestion through data infrastructure to observability, metrics, experimentation, and agent-facing experiences with an accent on reliable data pipelines, modern data architecture, and customer-facing analytics. Focus on designing AI-powered analysis, modeling data for agent consumption, and coordinating ingestion, processing, storage, and downstream product experiences at platform scale.
Location: Remote - United States
Salary: $182,600-$295,350 per year, depending on US geographic pay zone.
Company
provides a software delivery platform for feature management, targeted releases, experimentation, and engineering insights.
What you will do
- Define the vision, strategy, and roadmap for end-to-end data products, from SDK event ingestion and data infrastructure to customer-facing experiences.
- Lead AI-powered analysis and agent interfaces for data products, including CLI, MCP, and skills.
- Build coherence across data ingestion, processing, storage, modeling, analytics, observability, experimentation, and integrations.
- Collaborate with engineering, design, marketing, sales, customer success, and support to deliver products and go-to-market plans.
- Represent customer needs in product decisions and monitor industry and competitor trends.
- Mentor product managers and improve data-informed product practices.
Requirements
- 8+ years of product experience in data platforms, data infrastructure, analytics, or developer tools; equivalent data-intensive engineering experience with a product mindset may be considered.
- Experience bringing data products to market and setting strategy across multiple teams or a platform-scale product area.
- Strong understanding of event and streaming pipelines, data warehousing, lakehouse patterns, data modeling, and large-scale processing trade-offs.
- Experience with both platform products and end-user data products such as analytics, observability, insights, or experimentation.
- Excellent analytical, problem-solving, decision-making, communication, and cross-functional collaboration skills.
Culture & Benefits
- High-trust, transparent, humble, open, collaborative, respectful, and inclusive environment.
- Remote work within the United States.
- Restricted stock units.
- Health, vision, dental, and mental health benefits.
- Equal opportunity employment and disability accommodation support.
Hiring process
- Formal interview process required before an offer.
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