Solutions Architect

Highlights

• Bring predictive applications into production using tabular foundation model NEXUS.
• Guide data-rich enterprises from early discovery and evaluation to scale.
• Translate field patterns into roadmap input for Product and Research teams.

What they offer

• Competitive compensation with salary and equity
• Comprehensive health coverage for you and your dependents
• Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
• Relocation support for employees moving to join the team in one of our office locations

Ideal candidate

Customer-obsessed builder with 5+ years leading complex ML implementations who thrives owning technical success end-to-end. Collaborative, low-ego problem-solver excited to bridge business, engineering, and product in enterprise environments.

Requirements

• 5+ years of experience in technical consulting or customer-facing technical roles (e.g. Solutions Architect, Data Scientist, Sales Engineer, ML engineer)
• Proven ability to lead complex technical implementations spanning traditional ML and/or modern Generative AI systems, with understanding of cloud and on-prem architectures
• Strong experience working with enterprise customers, including navigating multi-stakeholder environments and deployment cycles
• Strong written and verbal communication skills to convey complex technical concepts to technical and non-technical audiences
• Hands-on technical proficiency with focus on data manipulation (Python, Pandas, SQL) to execute rapid prototyping and analyze customer datasets
• Collaborative mindset excited to work cross-functionally, manage trade-offs and balance competing priorities
• Demonstrated ability to own problems end-to-end, learn quickly, and fill knowledge gaps to deliver outcomes
• Humble, team-oriented attitude with bias toward action
• Travel 50% of the time