Senior Manager Solutions Architecture Cloud Partners jobs at Mongodb in United States, Renton

This role can be based out of San Francisco, Seattle, or remotely in the US region.

Leadership & Strategic Partnership Management

• Lead and mentor a team of Partner Solution Architects, cultivating strong relationships across the partner ecosystem
• Develop and execute strategic initiatives to align partner success with MongoDB’s objectives
• Collaborate with cross-functional teams (product, engineering, sales) to drive strategic business plans for partner engagement

Technical Enablement & Market Relevance

• Equip partners with knowledge and resources to ensure technical alignment and support go-to-market success
• Help partners understand and position MongoDB solutions to meet evolving market needs
• Serve as a trusted advisor, reinforcing MongoDB’s competitive advantage within the partner ecosystem

Business Development & Ecosystem Expansion

• Work closely with sales and marketing to identify ecosystem opportunities, driving joint business growth and expanding market reach
• Oversee the creation of co-branded solutions and proposals, supporting revenue targets and mutual alignment
• Address partner challenges by providing relevant business and technical solutions

Inclusive Leadership & Team Development

• Foster a high-performance, inclusive team culture focused on growth, mentorship, and diversity of thought
• Champion best practices in partner engagement and strategic planning, ensuring a supportive environment for all team members
• Build team agility to respond effectively to shifting market and partner dynamics

Cross-functional Collaboration & Communication

• Serve as a liaison between MongoDB’s internal teams and partners, providing timely updates and strategic insights
• Communicate complex concepts accessibly to ensure stakeholder alignment
• Represent MongoDB at events and forums, strengthening its reputation as a partner-centric organization

• 5+ years of experience in partner management, solution architecture, or related roles, with a strategic focus and at least 6-8 years in a leadership capacity
• Strong background in developing and executing strategies for partner engagement and success, ideally within technology or cloud environments
• Excellent relationship-building skills with an ability to engage and influence senior leaders across diverse partner organizations
• Strong communication and collaboration skills, with an ability to articulate both business and technical value to a wide range of audiences
• Commitment to inclusivity and fostering a diverse, equitable team environment
• Bachelor’s degree in Business, Computer Science, or a related field, or equivalent experience; advanced degree or relevant certifications are a plus
• Willingness to travel up to 30% to support partner engagement

• An opportunity to drive MongoDB’s impact within the rapidly growing partner ecosystem, shaping the future of data solutions across various industries
• Exposure to a dynamic, inclusive work environment that values diversity of experience, thought, and background
• A role in a mission-driven company that prioritizes professional growth, personal wellbeing, and societal impact

This role will be based remotely in London.

In this role, you will:

• Embed deeply with strategic customers, gaining a thorough understanding of their business strategy, challenges and technical requirements within the context of AI
• Architect, design, and implement end-to-end AI solutions using an iterative, experiment-driven approach
• Scope projects, define deliverables, and create actionable plans for both rapid prototypes and enterprise-scale deployments
• Hands-on develop scalable, secure, and performant AI solutions, working side-by-side with customer engineering teams
• Prototype and iterate solutions leveraging MongoDB Atlas, cloud technologies, LLMs, and generative AI technologies
• Provide technical leadership to ensure architectural alignment, quality, and successful customer outcomes
• Actively engage with emerging AI technologies to stay ahead of trends, incorporating new insights into customer solutions
• Collaborate closely with our Sales teams, Solution Architects, Product, and wider Professional Services to deliver high-impact, scalable solutions that drive measurable business outcomes
• Contribute to internal knowledge sharing, creating resources, best practices, and reusable assets that scale the broader AI capability across MongoDB

• Have 5+ years of experience in software development, customer engineering, solution architecture, or similar roles, including at least 2 years dedicated to designing and implementing AI solutions
• Demonstrate a strong customer-centric approach and excellent communication skills, capable of clearly articulating complex technical solutions to diverse audiences
• Proficiency in building modern, full-stack applications with back end development in Python, Node.js, or Java, and front end development with frameworks like React, Angular or Next.js
• Understand and have implemented AI solutions like Retrieval-Augmented Generation (RAG) systems, and LLMs for real-world, real-time applications
• Have hands-on experience deploying scalable AI applications on cloud environments (AWS, Azure, GCP)
• Demonstrate deep understanding of modern development practices, including CI/CD, test-driven development, and microservices
• Demonstrable experience in rapidly evolving, high-uncertainty projects, turning ambiguous problems into clear, measurable solutions
• Are willing to travel up to 30% to engage directly with strategic customers

• Hold an advanced degree (MSc or PhD) in AI, Data Science, Machine Learning, or related fields
• Experience in R&D within the data science, AI/ML space especially around differing AI domains (agentic, discriminative, perceptual, conversational, reinforcement etc), data processing, optimisation, prompt engineering, model validation, model fine tuning and reranking
• Have knowledge of AI ethics, governance, and compliance frameworks
• Are proficient in additional languages such as French,Spanish, Italian, German, or Mandarin