Partner Solution Architect

Partner Solution Architect

Requirements

• Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Implementation Consultant, Solutions Architect, Sales Engineer)
• Experience partnering with large technology cloud or platform providers sales and technical teams driving technical account strategy, proof-of-concept scoping, and execution
• Strong Python development skills with proven ability to integrate data from multiple sources
• Working knowledge of cloud architecture and deployment patterns for AI/ML solutions
• Experience building enablement assets and driving enablement or evangelism at scale
• Track record of managing complex implementation projects from discovery to delivery
• Experience running solution design workshops and translating business requirements into technical specifications
• Strong stakeholder management skills, including experience working with C-level executives
• Outstanding presentation and communication skills, with ability to adapt messaging for technical and business audiences
• Bachelor’s or Master’s in computer science, engineering, mathematics, or related fields (or equivalent experience)

Responsibilities

• Execute on effective technical discovery with partners to understand potential clients’ needs, challenges, and desired outcomes in collaboration with Account Executives
• Help onboard AI Platform and model updates to strategic partner platforms
• Drive enablement at scale across strategic partner technical and sales teams
• Create and update assets for partner enablement portal: technical decks and docs, enablement videos, reference architectures, etc.
• Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer
• Collaborate with the partner and Mistral sales teams to progress deals and penetrate accounts, providing technical expertise and insights where necessary
• Create a strategic vision for the customer based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities
• Be the ‘user zero’ to crash-test and experiment on newly-deployed models, features and tools in order to proactively document them, suggest fixes and improvements and escalate more in-depth feedback to the engineering teams
• Help build relevant tooling for quality control of our model deployments on each ☁️ (SDK, availability, scalability)
• Guide and support partners and customers in deploying our text completion API into their infrastructure
• Work closely with customers and partners to fine-tune models according to their specific requirements
• Regularly liaise with the product and technical teams to relay feedback and suggest improvements
• Collaborate with Account Executives to ensure that the customer is maximizing the product’s potential
• Provide post-deployment support, addressing any issues or challenges that arise promptly
• Offer recommendations for product optimizations or new features based on customer feedback
• Develop custom features for customers as needed

Preferred Qualifications

• Led successful deployments of Generative AI or traditional machine learning solutions in enterprise environments, including prototyping and customization
• Familiarity with deal qualification using MEDDPICC and/or value-based sales methodologies like Command of the Message