8 дней назад
Sr. Manager, AI Product Owner, GTM Applications
145 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Manager, AI Product Owner, GTM Applications (AI): Defining and delivering agentic AI capabilities across go-to-market applications with an accent on AI-powered workflows, LLM integrations, and responsible AI metrics. Focus on prioritizing product roadmaps, optimizing prompts and context windows, preparing GTM data for AI, and solving complex build-versus-buy and probabilistic system challenges.
Location: USA - Remote, AZ
Base salary: $145,000–$220,000 per year, with eligibility for bonuses and equity grants.
Company
CrowdStrike is a cybersecurity company developing an AI-native platform for protecting organizations and processing large-scale security data.
What you will do
- Own the AI product roadmap for go-to-market applications, aligning priorities with business OKRs and AI strategy.
- Identify AI opportunities across Lead-to-Cash, Sales, Marketing, and Customer Success processes through workshops, ideation sessions, and executive collaboration.
- Define and prioritize backlogs for autonomous agents, AI-assisted workflows, and LLM integrations.
- Translate business needs into epics, user stories, and acceptance criteria for engineering teams.
- Define AI KPIs covering model accuracy, task completion, hallucination rates, ROI, privacy, fairness, and responsible use.
- Champion prompt engineering, context-window optimization, AI-ready data, automation-first thinking, and AI adoption across GTM IT.
Requirements
- Bachelor’s degree in Business, Computer Science, Information Systems, or a related field.
- 8+ years of product management experience, including at least 2 years in enterprise SaaS or GTM technology focused on AI.
- Experience delivering AI or automation products end to end.
- Strong understanding of Lead-to-Cash, CPQ, CRM, and marketing automation processes.
- Hands-on familiarity with agentic AI, LLMs, AI workflow platforms, RAG architecture, prompt engineering, and LLM APIs such as OpenAI, Anthropic, and AWS Bedrock.
- Experience with Agile/Scrum and cross-functional engineering teams, with comfort working with probabilistic AI features.
Nice to have
- Experience in Go-to-Market IT, high-growth SaaS, or cybersecurity.
- Experience with Amazon Bedrock, Salesforce Agentforce, and GCP product features.
- Familiarity with MCP and agent interoperability standards.
Culture & Benefits
- Remote flexibility with an emphasis on autonomy and responsible AI adoption.
- Health and mental wellness programs, paid time off, and competitive vacation and holiday policies.
- Paid parental and adoption leave.
- Professional development opportunities, employee networks, neighborhood groups, and volunteer programs.
- Bonuses, equity grants, health insurance, and 401(k) benefits for U.S. candidates.
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