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Senior Forward Deployed Engineer

Lead complex forward-deployed engineering engagements, architecting AI, forecasting, optimization, and decision-support systems for private fund managers. Requires 6+ years experience with Python, SQL, ML, and quantitative systems.

145k – 185kUnited StatesSolutions ArchitectureRemote6+ YOE

About the role

What You'll Do

  • Lead complex forward-deployed engagements from discovery through production adoption
  • Architect custom systems across AI, forecasting, optimization, simulation, and decision-support workflows
  • Design application patterns that connect Maybern's platform to customer-specific logic, data, and operating processes
  • Build evaluation, control, and validation frameworks for high-stakes outputs
  • Serve as a trusted technical advisor to senior customer stakeholders
  • Mentor engineers across the Forward Deployed Engineering team
  • Identify when bespoke work should become reusable product capability or shared platform infrastructure
  • Help define standards, technical direction, and operating practices for the function

Who You Are

  • Architect. You design application patterns that connect platform, customer logic, and data — picking the right level of rigor for the stakes.
  • Customer Partner. You serve as a trusted advisor to senior customer stakeholders and translate rigor without losing precision.
  • Mentor. You raise the bar on technical execution and help define the standards, tooling, and direction of the function.
  • High-Standards Builder. You hold a high bar for clarity and reliability in domains where approximation isn't enough.

Requirements

  • 6+ years of experience in software engineering, machine learning, quantitative systems, applied research, or forward-deployed technical work with significant ownership
  • Strong record of leading ambiguous, customer-facing technical initiatives
  • Deep strength in Python, SQL, system design, and analytical application architecture
  • Strong applied AI or ML experience, with clear attention to evaluation, reliability, and real-world deployment
  • Deep quantitative reasoning across modeling, inference, optimization, simulation, statistics, or decision systems
  • Excellent communication and stakeholder management
  • Strong taste in balancing speed, rigor, and trust in high-stakes environments

Nice-to-Haves

  • Familiarity with the Snowflake AI Data Platform as a strong starting point for architecting data, analytics, and AI workflows
  • Experience designing custom applications in finance, capital markets, enterprise decision systems, or similarly complex domains
  • Experience with optimization, probabilistic systems, simulation engines, or mathematical modeling platforms
  • Experience with formal verification, theorem proving, formal methods, or machine-checkable logic
  • Experience turning bespoke customer systems into reusable product or platform primitives
  • Experience mentoring engineers and raising the bar on technical execution
  • Private markets experience

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

Skills

PythonSQLSystem DesignMachine LearningAIQuantitative ModelingOptimizationSimulationStatisticsData Architecture

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