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Partner Solution Architect, USA - Palo Alto

About The Job


As an early member of our US Partner Team, you will work closely with our Partner and GTM teams to drive the adoption of our state-of-the-art enterprise AI platform and models.


Responsibilities


Pre-Sale & Sales Activities:

- 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.


Product Implementation & Integration:

- 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.


Customer & Partner Success & Support:

- 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.



About you


- 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)

- Nice to have: Led successful deployments of Generative AI or traditional machine learning solutions in enterprise environments, including prototyping and customization. 

- Nice to have: Familiarity with deal qualification using MEDDPICC and/or value-based sales methodologies like Command of the Message. 



Our Culture


We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:


- Reason with rigor

- Are you audacious enough?

- Make our customers succeed

- Ship early and accelerate

- Leave your ego aside 


What We Offer


- Ability to shape the exciting journey of AI and be part of the very early days of one of the hottest startups in AI

- A fun, dynamic multicultural team and collaborative work environment

- Opportunities for professional growth and development 

💰 Competitive salary and bonus structure 

🚀 Generous Equity

🧑‍⚕️ Health: Competitive Healthcare program (Medical Provider; Aetna, 100% coverage for employee, 75% for dependents)

👴🏻 Pension: 401K (6% matching)

🏝️ PTO: 18 days 

🚗 Transportation: Reimburse office parking charges, or $120/month for public transport

🤝 Coaching: we offer Betterup coaching on a voluntary basis

🏀 Sport: $120/month reimbursement for gym membership

🥕 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)

🪪 Visa sponsorship 


About Mistral 


At Mistral AI, our mission is to make AI ubiquitous and open. We are passionate about bridging the gap between technology and businesses of all sizes. We are a leading innovator in the field of open-source large language models.


Our advanced LLM solutions can be seamlessly deployed on any cloud, allowing for optimized integration and robust performance. Developers are using our API via la Plateforme to build incredible AI-first applications powered by our models that can understand and generate natural language text and code. We are multilingual at our core. We released le Chat, as a demonstrator of our models.


We are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our teams are distributed between France, UK and USA. We are creative, low-ego, team-spirited, and have been passionate about AI for years. We hire people who thrive in competitive environments, because they find them more fun to work in. We hire passionate women and men from all over the world.


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Average salary estimate

$115000 / YEARLY (est.)
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$90000K
$140000K

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What You Should Know About Partner Solution Architect, USA - Palo Alto, Mistral AI

At Mistral, we’re looking for a dynamic Partner Solution Architect to join our team in Palo Alto, USA. As an essential member of our US Partner Team, you’ll collaborate closely with our Partner and GTM teams, leading the charge in adopting our cutting-edge enterprise AI platform. Your role will involve engaging in pre-sale and sales activities, conducting technical discovery with partners, and ensuring that we meet our clients' unique challenges. You'll onboard AI platform updates seamlessly and propel enablement initiatives across technical and sales teams. Your knack for creating compelling enablement assets, such as technical decks and videos, will help partners maximize their success while using our technology. Not only will you experiment with our newest models and features as the ‘user zero,’ but your insights will help us enhance our offerings through regular communication with our engineering teams. Your strong Python development skills will also be invaluable as you integrate data for AI/ML solutions. Partner success is a priority, and you’ll work with account executives to ensure every customer is getting the most out of their product experience. If you’re ready to be part of a fun, multicultural team that’s pushing the boundaries of AI, Mistral offers an exciting opportunity for professional growth, competitive benefits, and a company culture dedicated to innovation and collaboration.

Frequently Asked Questions (FAQs) for Partner Solution Architect, USA - Palo Alto Role at Mistral AI
What are the key responsibilities of a Partner Solution Architect at Mistral AI?

As a Partner Solution Architect at Mistral AI, you'll undertake key responsibilities including guiding pre-sale technical discovery, onboarding AI platform updates, and driving enablement across partner teams. You'll work closely with Account Executives to identify opportunities that leverage Mistral solutions, create strategic visions for customers, and ensure product optimization post-deployment.

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What qualifications are required for the Partner Solution Architect position at Mistral AI?

To qualify for the Partner Solution Architect role at Mistral AI, candidates should have a background in technical partner pre-sales or consulting. Experience with large technology providers, strong Python development skills, and a solid understanding of cloud architecture for AI/ML solutions are essential. A Bachelor's or Master's degree in a related field, along with excellent communication skills, is highly preferred.

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What does the onboarding process look like for new partners at Mistral AI?

At Mistral AI, the onboarding process for new partners is comprehensive. As a Partner Solution Architect, you will assist partners with technical training, provide crucial resources via the enablement portal, and support them in understanding how Mistral solutions can address customer needs effectively, leading to successful collaborations.

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How does Mistral AI support professional growth for Partner Solution Architects?

Mistral AI is deeply committed to fostering the professional growth of its Partner Solution Architects. We offer a dynamic work environment, opportunities for skill development, and engaging projects in the evolving field of AI. Additionally, our culture promotes collaboration and innovation, providing a backdrop for career advancement.

Join Rise to see the full answer
What does the company culture look like for a Partner Solution Architect at Mistral AI?

The company culture at Mistral AI emphasizes creativity, low-ego collaboration, and passion for AI technology. As a Partner Solution Architect, you will be part of a supportive, multicultural team that prioritizes customer success and encourages innovative thinking to tackle challenges in the AI landscape.

Join Rise to see the full answer
Common Interview Questions for Partner Solution Architect, USA - Palo Alto
What strategies do you use for effective technical discovery during pre-sales?

When answering this question, highlight your approach to understanding a partner's needs by asking probing questions, fostering open discussions, and using active listening skills. Mention any frameworks you've used, and be sure to connect this to how it can impact customer outcomes.

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Can you explain your experience with Python in AI/ML implementation?

In your response, detail your experience with Python, including specific projects or solutions you’ve coded that involved AI/ML. Discuss how you integrated data from multiple sources and any relevant tools or libraries you've used, focusing on outcomes.

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How do you handle complex implementation projects from discovery to delivery?

Outline your project management skills by discussing your methodology for managing timelines, stakeholder communication, and project deliverables. Provide examples of past projects and how you ensured successful implementation.

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Describe your approach to ongoing customer support post-deployment.

Discuss how you maintain communication with customers after deployment, ensuring they maximize product usage. Mention any systems you have in place for collecting feedback and providing timely support to address issues.

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What techniques do you employ to create compelling enablement assets?

When answering this question, focus on your creative process for developing assets such as technical decks and videos. Explain how you identify key messages and tailor your content to resonate with both technical and business audiences.

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Tell me about a time when you had to manage conflicting priorities among stakeholders.

Provide a specific example where you successfully balanced stakeholder demands. Discuss how you communicated, prioritized tasks effectively, and reached a resolution that satisfied all parties involved.

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How do you ensure that technical insights are conveyed effectively to non-technical audiences?

Highlight your ability to tailor your communication style based on the audience. Explain how you use visuals, analogies, and clear language to simplify complex concepts while keeping them engaged.

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What do you consider when defining the strategic vision for a customer?

In your response, emphasize the importance of understanding the customer's business objectives, challenges, and desired outcomes. Describe how you incorporate this understanding into creating a tailored strategic vision that aligns with their goals.

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How do you handle feedback on new AI models from partners or customers?

Describe your process for collecting and managing feedback. Explain how you prioritize feedback based on its impact, and communicate essential insights to the product and engineering teams to drive continuous improvement.

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Why is stakeholder management important for a Partner Solution Architect?

Discuss the significance of stakeholder management in aligning expectations and fostering collaboration between technical and non-technical teams. Emphasize how effective management leads to successful project outcomes and stronger relationships.

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Full-time, on-site
DATE POSTED
March 16, 2025

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