Director, Engineering

Responsibilities

• Own outcomes from ingestion through payment: define "correct" for adjudication and money movement; accountable for adjudication accuracy, payment timeliness, ledger reconciliation, ingestion SLAs, and the multi-year roadmap.
• Set the bar and pace: establish validation standards and definition of "done"; run a performance culture focused on highest-value work first, automating toil, and holding engineers accountable for outcomes.
• Stay close to the work: participate in hard design reviews, read code, investigate incidents, and hold defensible technical positions on adjudication logic, event contracts, data modeling, and money movement.
• Make agent-first the default: integrate AI-native engineering into FIN operations; build harnesses, validation frameworks, and Claude Skills to enable faster, safer shipping and mature the organization toward autonomous AI with guardrails.
• Own technical direction: guide backend toward event-contract boundaries for independent team shipping and scaling to tens of millions of claims; ensure fault tolerance to prevent dropped or double-paid claims; own security and data-integrity posture for partner data and funds.
• Build and grow the team: hire, level, and develop Engineering Managers and senior ICs; own interviewer calibration; design org structure and decision rights for clear ownership.
• Translate across the business: partner with CTO, Product, Finance, Operations, and payment partners to convert business needs into technical plans; communicate risks and tradeoffs effectively.

Requirements

• 10+ years building and operating high-scale, high-reliability backend systems, ideally processing large data volumes and/or moving money.
• 5+ years leading engineering teams, including managing managers, in a high-accountability, high-urgency environment.
• Technical credibility at scale: ability to reason through design docs, schemas, or incident timelines and define validation criteria.
• Opinionated view on agent-first / AI-native engineering: how to make it the default operating model and mature it safely from assisted to autonomous.
• Experience with sensitive data (regulated PHI/PII/financial data, unvalidated third-party inputs, encryption, access, audit) and instinct for reconciliation-first design.
• Fluency in distributed systems and modern cloud: event-driven architecture, idempotency, fault tolerance, backpressure, data consistency under load, AWS, and API design.
• Ownership mindset: proactively move problems to resolution and optimize for member and business impact.
• Desire to join a high-performing, mission-driven team with intense urgency, individual accountability, and commitment to authentic feedback.

Nice-to-Haves

• Experience in healthcare or financial systems handling PHI, PII, or regulated financial data.

Compensation

Target salary range is $435,000 - $450,000 inclusive of bonus. Eligible for equity incentive and competitive benefits including flexible PTO, Medical/Dental/Vision, 401(k), and more.