Senior Solutions Engineer

About the role

This position is with a company that delivers a unified, natively multimodel contextual data platform powering AI agents, assistants, and applications. The platform connects fragmented enterprise data with LLMs, copilots, and AI agents through a simplified architecture, combining graph, vector, document, key‑value, and search capabilities in a single solution. The role is remote, but candidates must be located in the San Francisco Bay Area, with occasional travel to client locations.

Responsibilities

• Strategic Account Ownership: Drive the strategic technical account roadmap and engagement strategy for large enterprise opportunities and customers.
• Integration Strategy: Architect and lead integration strategies across customer accounts to drive horizontal expansion.
• Technical Leadership: Lead deep technical engagements and build trusted relationships with senior technical stakeholders.
• Solution Engineering: Craft and deliver high‑impact technical presentations, architecturally sound demonstrations, and PoCs/PoTs that showcase competitive advantage against legacy NoSQL and ML/AI stacks.
• Innovation & Evangelism: Build functional, real‑world demos incorporating core database and AI capabilities.
• Thought Leadership & Community: Evangelize the AI suite at industry events, webinars, and panel discussions; contribute to technical whitepapers; provide critical product feedback to the wider community.
• Client Success: Solve complex technical challenges for clients by architecting optimal, reliable solutions.

Requirements

• Bachelor’s degree in Computer Science or equivalent experience.
• 10+ years in technical sales or consulting for enterprise AI, databases, big data systems, analytics, or machine learning.
• Strong understanding of the enterprise sales cycle.
• High‑energy, tenacious team player with outstanding interpersonal skills and a perpetual learning mindset.

Skills

• Infrastructure & DevOps: Expertise in Docker, Kubernetes, CI/CD pipelines, and cloud‑native architectures.
• Data & AI Stack: Deep experience with vector/NoSQL databases, LLM integration, and Retrieval‑Augmented Generation (RAG) architectures.
• Architecture: Ability to map complex business requirements to robust technical solutions.
• Technical Proficiency: Fluency in Python and SQL; experience with distributed database systems.

Extra Points

• Experience with graph databases or frameworks.
• Technical understanding of data and AI/ML tooling, workflows, and trends in an enterprise setting.

Benefits

• Opportunity to contribute to cutting‑edge AI and data infrastructure.
• Collaboration with experienced engineers, marketers, and product leaders.
• Influence on how enterprises build AI‑powered applications.
• Membership in NVIDIA Inception Program and AWS ISV Accelerate Program.

Pay

Salary range: $200,000 – $250,000

Schedule

Remote work from the Bay Area with occasional travel to client locations.