Technical Alliances Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Director-level role owning and scaling strategic technical alliances with AI infrastructure partners, driving integration strategy, joint GTM plans, and co-sell motions across the AI compute ecosystem; heavy emphasis on technical credibility and executive engagement.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Business Development & Partnerships

Seniority: Director level

Key Responsibilities

•Own the end-to-end relationship with key AI infrastructure partners, including executive alignment, business planning, and QBRs
•Develop and execute joint go-to-market strategies that drive measurable pipeline and revenue for bothOperant AI and our partners
•Establish Operant AI as the preferred security and observability partner across AI compute and cloud infrastructure ecosystems
•Identify and prioritize new strategic alliance opportunities as the AI infrastructure landscape evolves
•Define the technical integration vision and roadmap for each partner relationship, working closely with Operant AI’s engineering and product teams

Key Requirements

•8+ years in technical alliances, partner engineering, sales engineering, or a combination thereof—ideally within AI, cloud infrastructure, or enterprise software
•Demonstrated experience managing strategic technology partnerships with hardware or infrastructure providers (AI accelerators, cloud platforms, hyperconverged infrastructure, or similar)
•Track record of driving partner-sourced or partner-influenced revenue and building scalable co-sell motions
•Experience working with or alongside AI infrastructure platforms (e.g., AI compute, inference serving, data center fabric) strongly preferred
•Strong working knowledge of AI/ML infrastructure—including inference hardware, distributed compute, containerized workloads, and Kubernetes-based orchestration

Experience:8+ yearsAi infrastructureEnterprise softwareCloud infrastructure

Skills:CommunicationLeadershipStrategic thinkingNegotiationCollaboration

Languages:English

Tech Stack:KubernetesContainersAPIsSecurityInference hardwareAI computeAI infrastructure

Company Brief

Operant AI

Operant AI builds AI tools and platform components to enable autonomous agents, reasoning, and decision-making capabilities for applications, focusing on integrating learning, memory, and retrieval systems into production workflows.

Industry: AI & Machine Learning

Website

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Operant AI

3 months ago

Technical Alliances Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Business Development & Partnerships

Seniority: Director level

Key Responsibilities

•Own the end-to-end relationship with key AI infrastructure partners, including executive alignment, business planning, and QBRs
•Develop and execute joint go-to-market strategies that drive measurable pipeline and revenue for bothOperant AI and our partners
•Establish Operant AI as the preferred security and observability partner across AI compute and cloud infrastructure ecosystems
•Identify and prioritize new strategic alliance opportunities as the AI infrastructure landscape evolves
•Define the technical integration vision and roadmap for each partner relationship, working closely with Operant AI’s engineering and product teams

Key Requirements

•8+ years in technical alliances, partner engineering, sales engineering, or a combination thereof—ideally within AI, cloud infrastructure, or enterprise software
•Demonstrated experience managing strategic technology partnerships with hardware or infrastructure providers (AI accelerators, cloud platforms, hyperconverged infrastructure, or similar)
•Track record of driving partner-sourced or partner-influenced revenue and building scalable co-sell motions
•Experience working with or alongside AI infrastructure platforms (e.g., AI compute, inference serving, data center fabric) strongly preferred
•Strong working knowledge of AI/ML infrastructure—including inference hardware, distributed compute, containerized workloads, and Kubernetes-based orchestration

Experience:8+ yearsAi infrastructureEnterprise softwareCloud infrastructure

Skills:CommunicationLeadershipStrategic thinkingNegotiationCollaboration

Languages:English

Tech Stack:KubernetesContainersAPIsSecurityInference hardwareAI computeAI infrastructure

Company Brief

Operant AI

Industry: AI & Machine Learning

Website