Lead product strategy, build influential industry partnerships, and identify new growth opportunities in high-potential semiconductor markets for the Datacoms portfolio.
Responsibilities
Drive growth across high-potential semiconductor markets
Define and execute product strategy for our Datacoms portfolio
Identify and develop strategic partnerships across the AI, Datacoms, and AR ecosystems
Lead new product introductions and product lifecycle management
Act as a trusted advisor to customers, partners, and senior stakeholders
Requirements
PhD in Compound Semiconductors, Optical Devices, or a related field preferred
Degree in Engineering, Physics, Materials Science, or a related discipline
This Artificial Intelligence (AI) role will lead the development and execution of the company's AI strategy, driving innovation across AI-enabled products, infrastructure, and business operations.
Compensation
Range: $220,000 - $280,000 Base Salary
Responsibilities
Develop and execute the company's AI vision, strategy, and roadmap
Identify new AI-based products, services, and revenue opportunities
Lead AI and machine learning initiatives from concept through deployment
Build and manage high-performing teams of AI engineers, data scientists, and software developers
Evaluate emerging AI technologies, tools, and platforms
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field
This is a strategic, highly visible role responsible for identifying important and commercially meaningful problems in AI infrastructure and translating those problems into product opportunities.
Compensation
Salary Range: $325k
Responsibilities
Develop senior-level relationships with technology leaders at hyperscalers, cloud service providers, server OEMs, enterprise data centers, and other strategic customers.
Conduct structured customer discovery to identify both known pain points and emerging problems that customers may not yet have fully articulated.
Maintain a strong understanding of the technologies driving the evolution of AI infrastructure, including LLM and generative AI inference, Agentic AI, Long-context inference, KV-cache and context memory, AI accelerators and heterogeneous computing, HBM and advanced memory architectures, DDR and memory subsystems, CXL memory expansion, pooling, and disaggregation, AI networking and high-speed interconnect, Near-memory computing and PIM, Memory compression and intelligent data placement, Edge AI and inference, and AI data center power and thermal challenges.
Convert customer pain points and technology trends into clearly defined product opportunities.
Build and maintain the company's AI product and technology roadmap.
Define the long-term strategy for the hosting systems and platforms that power Uline’s business, lead major modernization initiatives and influence enterprise-wide technology decisions.
Responsibilities
Lead Uline’s long-term hosting and infrastructure strategy, aligning technology investments with business growth, security and resiliency.
Drive modernization across storage, virtualization and container platforms while advancing Uline’s AI infrastructure strategy.
Guide technology architecture, standards and lifecycle planning to improve performance and manage risk.
Partner with senior IT and business leaders on technology roadmaps, disaster recovery and business continuity.
Manage strategic vendor relationships, budgets and contracts to optimize technology investments.
Requirements
Bachelor's degree in Information Technology, Computer Science or a related field.
Beratung von Unternehmen in der KI-Strategie und Umsetzung von daten- und KI-Lösungen.
Responsibilities
Beratung von Kunden bei strategischen Fragestellungen rund um Daten und Künstliche Intelligenz
Entwicklung innovativer Konzepte und Lösungen
Durchführung von Workshops
Erweiterung fachlicher Expertise in Daten- & KI-Strategie, KI-Betriebsmodelle, Data Culture, Change Management, AI Project Management, Data Architecture, AI Platforms
Unterstützung von Senior Consultants im Tagesgeschäft und bei Vertriebsaktivitäten
Requirements
Bachelor's in Economics
Bachelor's in Computer Science
Bachelor's in Artificial Intelligence/Data Science
Lead the site Quality organization responsible for NPI quality, supplier quality, manufacturing quality, customer quality, and quality management systems.
Responsibilities
Lead all site quality functions, including NPI, supplier, manufacturing, customer, and quality systems.
Establish quality standards and release criteria for AI server, system, and rack integration programs.
Drive the product strategy and delivery of enterprise-grade AI infrastructure platforms that power model training, inference, and experimentation at JPMorganChase.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Own the product area vision, strategy, roadmap, execution, and business growth targets
Maximize returns on hardware capital investments spanning compute, accelerator, storage, networking, and orchestration layers
Serve as the key decision-maker for product prioritization and strategic direction across the AI Infrastructure product area
Cultivate and manage senior stakeholder relationships
Analyze market trends and interpret competitive signals
Requirements
Advanced degree in Computer Science, Engineering, or related field; MBA or equivalent preferred
Nice to have: Background in technical product management within the AI infrastructure ecosystem
Nice to have: Experience with infrastructure vendors, cloud providers, and system integrators
Nice to have: Experience in highly regulated industries such as financial services or healthcare
Own complex technical sales cycles and build new business with large enterprise accounts for a generative AI infrastructure company.
Locations (2)
United States
New York, New York, United States
Compensation
Base salary is $155,000 to $175,000 annually. On-target earnings, including base and variable compensation, are $310,000 to $350,000 annually. Equity is offered. Visa sponsorship is not available.
Responsibilities
Develop and execute account strategies to generate new business with targeted enterprises.
Build a strong understanding of the platform and communicate its value to technical buyers.
Generate pipeline independently and engage channel and alliance partners to create and advance opportunities.
Manage the full sales cycle, from prospecting through procurement, including negotiations and closing.
Maintain accurate forecasts, report account activity and progress, and use internal resources to achieve quota.
Own how Sent's products are positioned, launched, and brought to the developer market, translating complex communications infrastructure into clear, differentiated messaging that resonates with developers, engineering leaders, and software platforms deploying customer-facing agents across their users.
Compensation
Meaningful equity with high growth potential
Responsibilities
Own product positioning, messaging, launches, and GTM strategy across Sent's agent infrastructure, messaging, and voice products
Develop differentiated technical narratives for developers, engineering leaders, and platforms deploying agents across multiple businesses
Lead product launches end-to-end, from defining target audiences and use cases to creating content, coordinating distribution, and driving adoption
Independently create technical content, including product pages, API explainers, architectural comparisons, and integration guides
Communicate Sent's technical differentiation across agent execution, tool integrations, customer context, communications infrastructure, and deployment models
End-to-end leader in charge of the program, from shaping the approach to achieving the desired outcomes through delivery of mission critical Data Centre Construction, Cabling, Compute, Networking, AI infrastructure projects.
Responsibilities
Develop and implement long-term strategies for data center construction and network build projects
Partner with the design team to ensure design and construction are fully coordinated in advance of contracting
Partner with Construction team to ensure collaboration and seem less handoff
Oversee all phases of complex data center construction projects, ensuring they are completed on time, within budget, and to the required quality standards
Work closely throughout design, construction, commissioning and LV fit out to fully coordinate and integrate the separate scopes of tenant fit out projects with the overall project scope
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