12 дней назад
Senior Product Manager–Edge AI Management (AI)
155 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager–Edge AI Management (AI): Define and deliver edge AI management capabilities for deploying, orchestrating, and monitoring models, data, and configuration across distributed environments with an accent on edge computing, distributed systems, and operational AI. Focus on translating complex customer needs into product requirements, coordinating engineering execution, validating deliverables, and shaping platform strategy for enterprise and government users.
Location: Hybrid/on-site at the Austin, Texas office, United States; travel up to 20% required.
Base salary: $155,000–$200,000/year, plus equity grants and cash bonuses.
Company
builds AI assurance and management systems that monitor model performance, manage drift, and sustain deployed AI systems in real-world government and enterprise environments.
What you will do
- Define the product vision, strategy, roadmap, priorities, and requirements for edge AI management capabilities.
- Shape deployment, configuration, orchestration, and lifecycle management of models, data, and applications across distributed edge environments.
- Partner with engineering, data science, infrastructure, sales, marketing, and customers throughout discovery, development, testing, launch, and iteration.
- Remove execution blockers, clarify priorities, and support timely delivery by engineering teams.
- Perform product acceptance testing and maintain technical documentation, release notes, and product communications.
- Track customer feedback, market trends, competitive capabilities, product metrics, and emerging technologies.
Requirements
- Technical degree in computer science, engineering, or a related field.
- 6+ years of product management or closely related experience building complex technical software products, preferably for enterprise or government customers.
- Strong technical fluency in AI and machine learning systems.
- Hands-on experience with distributed systems, edge computing, fleet management, device communication, data synchronization, observability, remote deployment, or model lifecycle management.
- Ability to translate ambiguous customer and business problems into clear requirements, priorities, measurable outcomes, and product metrics.
- US citizenship and eligibility and willingness to obtain and maintain a Secret or higher US security clearance required.
Nice to have
- Previous experience as a software engineer, ML engineer, data scientist, or solutions architect.
- Familiarity with cloud infrastructure, Kubernetes, APIs, distributed systems, and modern data or ML platforms.
- Proficiency with Figma for wireframes and prototypes.
- Active Secret or higher US security clearance.
Culture & Benefits
- Trust, respect, candid communication, and individual ownership are core working principles.
- Medical, dental, and vision insurance.
- HSA, FSA, life, disability, accident, and hospital indemnity insurance options.
- 401(k) plan, unlimited PTO, and paid parental leave.
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