Principal Forward Deployed Engineer

What You'll Do

• Lead early-stage client discovery with non-technical executives, translating ambiguity into structured proposals, and scoping engagements across AI, forecasting, automation, decision support, and platform integration
• Own senior client relationships end-to-end, from initial discovery through production adoption, managing scope, timeline, and expectations
• Architect custom systems across AI, optimization, simulation, and decision-support workflows in collaboration with the engineering team
• Support the sales motion by lending technical credibility to pre-sales conversations and client pitches
• Identify when bespoke customer work should become reusable product capability, and mentor engineers across the team to raise the bar on technical execution

Who You Are

• Executive Presence: You are comfortable in the room with senior, non-technical clients. You listen well, ask sharp questions, earn trust quickly, and push back when needed without losing the relationship.
• Solution Architect & Proposal Writer: You can take a vague client problem, structure it into a credible technical plan, and author a written proposal from scratch: framing the problem, the approach, the deliverables, and the value.
• Delivery Leader: You have led end-to-end engagements with meaningful complexity, owning scope, timeline, and outcomes across both technical and client-facing work streams.
• High-Standards Builder: You hold a high bar for clarity and reliability in domains where approximation isn't enough.

Requirements

• 10+ years of customer-facing technical experience in consulting, enterprise software, or forward-deployed engineering, with a strong track record leading ambiguous client initiatives from discovery through delivery
• Deep strength in Python, SQL, system design, and analytical application architecture, with strong applied AI or ML experience
• Exceptional communication and stakeholder management skills, including the ability to write proposals, scope complex engagements, and manage difficult client situations

Nice-to-Haves

• Hands-on with the Snowflake AI Data Platform as a starting point for architecting data, analytics, and AI workflows
• Experience in finance, private markets, capital markets, fund administration, or enterprise decision systems
• Experience with optimization, probabilistic systems, simulation engines, or mathematical modeling platforms
• Experience turning bespoke client systems into reusable product or platform primitives

Benefits

• Competitive salary + equity package
• Comprehensive healthcare benefits (Maybern covers 100% of medical, dental, and vision premiums)
• HSA & FSA plans
• Paid parental leave
• Flexible schedule
• Flexible PTO / sick leave
• WFH as needed
• 401k