обновлено 3 дня назад
Principal, Technical Product Manager (AI)
111 900 - 158 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal, Technical Product Manager (AI): Defining and scaling a centralized enterprise AI platform from experimentation and sandbox usage through production deployment and adoption with an accent on platform strategy, technical architecture, governance, and agentic AI integration. Focus on designing high-throughput, low-latency systems, coordinating enterprise architecture and engineering teams, and operationalizing secure, scalable AI capabilities across business units.
Location: Dallas, TX, United States
Annual pay range: $111,900–$158,000 USD
Company
provides property intelligence, data, connectivity, and technology solutions for the global property ecosystem.
What you will do
- Define product strategy, technical design, and lifecycle management for a centralized enterprise AI platform.
- Drive adoption of the platform from sandbox experimentation through production across multiple business units.
- Bridge enterprise architecture, engineering, security, and governance teams by translating technical discussions into epics, stories, and executable engineering work.
- Define requirements for high-throughput, low-latency AI architectures that are scalable, secure, and cost-optimized.
- Establish operational processes, support models, rules of engagement, and governance frameworks for safe enterprise adoption.
- Oversee integration of modern AI and agentic frameworks, including Claude, Gemini, and Microsoft Copilot, to automate enterprise workflows.
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field, or equivalent practical experience.
- 7+ years of combined technical experience in Technical Product Management, Software Engineering, or AI Research.
- Proven record of shipping platform-level products and influencing executive leaders and technical engineering teams without direct authority.
- Familiarity with enterprise AI tools, agentic AI concepts, and vector databases.
- Hands-on experience with AWS, GCP, or Azure and distributed training infrastructure such as Kubernetes, Slurm, and GPU/TPU orchestration.
- Experience with agile methodologies, Jira backlog management, and coordinating dependencies across multiple engineering teams.
Culture & Benefits
- Flexible working model and an inclusive environment that encourages creativity, initiative, collaboration, and professional growth.
- Generous PTO, 11 paid holidays, well-being time, and volunteer time off.
- Up to 16 weeks of fully paid parental leave and a baby stipend.
- Medical plan options with mental health and wellness support.
- 401(k) with company match and vesting after one year.
- $400 annual well-being stipend, tuition assistance up to $5,250, recognition rewards, referral bonuses, and discounts.
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