Principal Solutions Architect, AI Ecosystem – Alliances

Job not on LinkedIn

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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WEKA

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

🤝 B2B

💰 $140M Series E - WEKA on 2024-05

Artificial Intelligence • Enterprise • B2B

WEKA is an enterprise-focused company that provides an "AI-Native Data Platform." The available materials reference a WEKA support portal used for customer access and account management, indicating the company offers platform software and support for AI/data workloads aimed at business customers.

📋 Description

• Lead alliance strategy across cloud providers, silicon vendors, MLOps platforms, enterprise Linux/container platforms, and vector database providers. • Build structured business plans with shared objectives, integration milestones, and multi-year roadmaps. • Cultivate relationships from C-suite sponsors to technical architects to maintain long-term strategic alignment. • Continuously identify new integration opportunities and negotiate partnership frameworks in collaboration with Legal and BizDev. • Define architectures spanning data ingestion, feature engineering, model training, fine-tuning, and inference serving. • Drive certified workstreams across priority areas: Enterprise Linux & Containers, Orchestration, Vector Databases. • Coordinate cross-organizational technical resources to produce reference architectures, validated blueprints and technical PoCs. • Stay current on inference optimization and retrieval architectures to ensure partner APIs/SDKs are prioritized in the internal product roadmap. • Develop technical battlecards, solution briefs, and demo environments to equip partner and internal sales teams. • Design and deliver enablement programs for solution engineers to ensure they can confidently deploy joint AI solutions. • Feed market intelligence and integration feedback back into internal product strategy. • Represent the company at conferences and summits; author whitepapers and technical blogs on integrated AI infrastructure.

🎯 Requirements

• 8+ years of experience in alliance management, partner engineering, or technical strategy within enterprise software, cloud, or AI/ML platforms. • Strong Technical Foundation: Familiarity with LLM deployment stacks, GPU compute, and ML frameworks (PyTorch, TensorFlow, JAX). • AI Lifecycle Expertise: Experience across the software stack, including fine-tuning, inference serving, and MLOps monitoring. • Solution Articulation: Proven ability to translate complex technical depth into clear, compelling narratives for both executive and technical audiences. • Execution: Demonstrated success in executing technology partnerships that result in measurable market impact and revenue growth.

🏖️ Benefits

• The WEKA Way: We are Accountable • The WEKA Way: We are Brave • The WEKA Way: We are Collaborative • The WEKA Way: We are Customer Centric