Technical Partner Manager

Job not on LinkedIn

🔥 14 hours ago

🇧🇬 Bulgaria – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💰 Account Manager

👻 Ghost score 12%

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Logo of Graphwise

Graphwise

51 - 200 employees

Founded 2024

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Graphwise is an enterprise software company that builds knowledge-graph–centric data and AI infrastructure to make organizational data AI-ready, reduce LLM hallucinations, and deliver context-rich, explainable insights. Its product suite includes a semantic GraphDB, graph modeling and ETL tools, Graph RAG integration with generative AI, graph and text analytics, and front-end application frameworks — offered as bundled SaaS/enterprise solutions and accelerator programs for rapid proof-of-value. Graphwise serves enterprise customers across industries with specialized solutions (e. g. , life sciences target discovery and ESG assistants) and integrates with platforms like Microsoft 365 to unlock data value at scale.

📋 Description

• Lead technical enablement and upskilling of Graphwise partners • Ensure partner technical teams are trained, certified, and capable of designing semantic AI solutions • Align with Partner Sales Directors during active sales cycles • Participate in joint discovery sessions addressing technical requirements and integration architecture • Translate customer requirements into robust, scalable technical architectures using Graphwise knowledge graphs and semantic AI • Enable partners to deliver product demonstrations, technical presentations, proof-of-value, and proof-of-concept designs independently • Act as the primary technical liaison between partners and Graphwise Product, Pre-Sales, and Solutions teams • Support technical onboarding, architecture reviews, and deployment planning • Advise partners on Graphwise product releases, technical standards, and ecosystem best practices • Gather and channel technical product feedback from partners to Product and Engineering teams

🎯 Requirements

• Extensive experience (5+ years) with Semantic technology, including working with Taxonomies, ontologies, knowledge graphs, and graph databases • Experience in partner-facing or channel engineering roles, such as Partner Solutions Architect, Partner Pre-Sales, or Channel Systems Engineer • Strong business acumen and understanding of business models, partner motivations, and ecosystem dynamics • Proven ability to build strong technical relationships, train external technical teams, and foster self-sufficiency within partner organizations • Ability to translate complex technical concepts into clear, value-driven narratives for technical partners • Excellent presentation, demonstration, and workshop-delivery skills • Strong problem-solving and analytical abilities, including complex integration, performance, and architecture discussions • Excellent written and spoken English; additional languages are a plus • Strong communication and collaboration skills with cross-functional, global teams • Inquisitive mindset, curiosity about emerging technologies, and passion for scalable partnership growth

🏖️ Benefits

• A friendly and professional international team and working environment in a rapidly-expanding tech and AI company • Exposure to the newest technologies in AI and knowledge graphs space • A workplace in an organization that is committed to sustainability and responsible business practices • Flexible working hours and benefits that reflect the company’s belief that a healthy work-life balance is a key driver of efficiency • Career development path • Paid internal and external trainings on an individual and team level • Hands-on experience and many more • Inclusive workplace supported by Diversity, Equity & Inclusion policies

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