Senior Director Product Management, Product Led Growth (AI)
Контакты
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
aiproduct managementapienterprise softwareproduct analyticsgrowth strategyexperimentationproduct led growthdata platforms
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Широкая зона ответственности на уровне руководителя и четкое владение ростом AI-продукта выглядят перспективно, но без зарплатного диапазона сложно оценить условия на фоне рынка.
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Высокий уровеньЗарплата не указанаРост в AIЧеткая зона ответственностиГибкий формат
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Director Product Management, Product Led Growth (AI): Defining and leading product-led growth for AI-powered enterprise software experiences with an accent on agentic AI, customer lifecycle optimization, and scalable product capabilities. Focus on building 0-to-1 experiences, designing growth loops, running experimentation, and aligning product, engineering, data, marketing, sales, and customer success around measurable outcomes.
Location: Remote within the United States; listed locations include San Jose, California and Washington, USA.
Company
hirify.global provides an autonomous knowledge platform that unifies data, knowledge, and business context for enterprise intelligence across on-premises, cloud, and hybrid environments, with AI capabilities.
What you will do
Define and lead the product-led growth strategy for AI-powered product experiences across acquisition, activation, adoption, expansion, and retention.
Own 0-to-1 product development from customer discovery and hypothesis formation through experimentation, launch, adoption, and scale.
Establish growth loops, reduce time to value, and improve the end-to-end customer journey using product telemetry and customer insight.
Build an operating model connecting product strategy, experimentation, data, and go-to-market execution.
Partner with product management, engineering, design, data science, growth marketing, sales, customer success, and platform teams to deliver self-service and assisted experiences.
Influence portfolio priorities, align executive stakeholders, and establish decision rights, metrics, operating rhythms, and accountability.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Business, Design, Data Science, or a related field, or equivalent practical experience.
12+ years of product management experience, including significant leadership of product-led growth, AI, platform, or enterprise software products.
Demonstrated success building and scaling 0-to-1 products, with direct ownership from discovery and validation through launch, adoption, and growth.
Deep subject-matter expertise in agentic AI, including AI agents, orchestration, tool use, memory, reasoning, evaluation, guardrails, and human-in-the-loop design.
Proven ability to create product-led growth strategies and growth loops across acquisition, activation, engagement, conversion, expansion, and retention.
Strong command of experimentation, customer discovery, product analytics, telemetry, funnel analysis, cohort analysis, and outcome-based roadmap prioritization.
Experience creating intuitive self-service, trial, onboarding, developer, or in-product experiences that reduce friction and accelerate time to value.
Ability to translate complex AI and technical capabilities into clear customer value propositions, differentiated experiences, and scalable commercial outcomes.
Exceptional executive communication and influence, with a record of aligning product, engineering, design, marketing, sales, and customer success leaders.
Ability to define North Star metrics and product-led growth KPIs, establish baselines and targets, and create transparent executive reporting.
Technical fluency in agentic AI architectures, APIs, developer workflows, enterprise data, security, governance, and responsible AI.
Ability to set strategy, develop talent, guide cross-functional teams, manage dependencies, and escalate risks early.
Nice to have
Experience with enterprise data platforms, databases, analytics, cloud infrastructure, or developer platforms.
Culture & Benefits
Flexible work model supporting decisions about how, when, and where to work.
People-first culture with a focus on employee well-being.
Commitment to diversity, equity, inclusion, and an equitable workplace.
Enterprise-grade trust, quality, and responsible AI are emphasized in the role.
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