15+ years of deep backend engineering experience with a track record of leading complex, multi-quarter technical initiatives in fast-paced, product-focused environments
Designed platform abstractions that absorbed messy, conflicting enterprise requirements across a diverse customer base — you've solved for the general case, not the loudest customer request
A track record of shipping in stages: you've moved large, structurally complex problems forward incrementally, with each phase standing on its own, without getting ahead of what customers and the product can absorb
A history of operating effectively across squads and teams you don't own — alignment built through technical clarity and credibility, not org chart proximity
Deep familiarity with enterprise architectural patterns: tenancy models, role-based access control, data isolation, scoped permissions, cross-tenant operations, and access boundary design
Strong communication skills — you make complex systems legible to engineering leadership, product partners, and customer-facing stakeholders, in writing and in the room
Data residency or GovCloud exposure is a plus; the right person ramps on this in a quarter once the core structural problems are in hand
Open to using AI to amplify your skills and strengthen your work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials