7 дней назад
Senior Director, Product Management (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director, Product Management (AI): Leading strategy, roadmap, execution, and commercial outcomes for a database software portfolio spanning self-hosted products and SolarWinds Observability SaaS with an accent on database performance, AI-driven management, and enterprise product strategy. Focus on defining agentic troubleshooting and AI-readiness capabilities, building an AI-native product management practice, and aligning engineering, marketing, sales, and customer teams around measurable portfolio growth.
Location: Austin, Texas; Charlotte, North Carolina; or Reston, Virginia, United States
Company
develops software for observability, database performance management, monitoring, and enterprise infrastructure operations.
What you will do
- Own the multi-year strategy, roadmap, and execution for the database portfolio across self-hosted and SaaS products.
- Lead portfolio decisions covering differentiation, integrations, partnerships, product sunset plans, pricing, packaging, ARR, retention, adoption, and margin.
- Drive integration of database capabilities into Observability while preserving critical DBA workflows.
- Define and deliver the product strategy for AI-powered database management, including agentic troubleshooting, natural-language analysis, anomaly detection, tuning recommendations, and predictive optimization.
- Establish evidence-driven discovery through customer advisory boards, community engagement, win/loss analysis, telemetry, and direct DBA research.
- Lead product managers, partner with engineering on an AI-Driven Development Lifecycle, and represent the database business with customers, analysts, partners, and executives.
Requirements
- 10+ years of product management experience and 5+ years leading product teams, including managers or senior individual contributors.
- Ownership of a software portfolio or business line with responsibility for revenue, retention, investment decisions, and commercial outcomes.
- Deep experience with databases, data platforms, or database/application performance management, including relational and cloud database internals, query execution, wait states, indexing, and performance tuning.
- Experience with observability, monitoring, IT operations management, or enterprise infrastructure software, preferably across self-hosted and SaaS products.
- Fluency in AI and machine learning product applications, including LLMs, agentic capabilities, anomaly detection, evaluation, trust, cost, and governance.
- Bachelor’s degree in a technical discipline or equivalent practical experience; willingness to travel up to 20%.
Nice to have
- Prior experience as a DBA, data platform engineer, or database consultant.
- Experience integrating an acquired or standalone product into a broader platform.
- Established presence in the data platform community through speaking, writing, or open-source contribution.
- Experience with usage-based or consumption pricing for observability or data products.
Culture & Benefits
- People-first environment focused on accountability, collaboration, empathy, and customer impact.
- Opportunity to lead a geographically distributed product organization.
- Cross-functional work with engineering, product marketing, sales, customer success, support, finance, UX, architecture, QA, and security.
- Commitment to Secure by Design standards and human review of AI-assisted delivery.
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