Engineering Manager, Case Strategy

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the Case Strategy Engineering team.

• Take ownership of engineering outcomes that enhance incremental reimbursement for customers, linking the technical roadmap to customer value and Annual Recurring Revenue (ARR).

• Manage data models, databases, APIs, services, and full-stack workflows by applying case strategies throughout the IDR process.

• Collaborate with Science and AI Platform teams to transition AI and ML capabilities from experimental phases to dependable product experiences.

• Develop systems that capture outcomes, identify signals, and integrate real-world results into model development and strategy enhancement.

• Establish priorities, mentor engineers, foster accountability, and encourage rigorous technical discussions.

• Recruit engineers and define organizational roles, ownership boundaries, and operational practices.

• Convert vague product and technical challenges into actionable plans, sequence tasks, manage dependencies, and ensure consistent delivery.

• Oversee architecture across Python services, GCP infrastructure, data systems, LLM-enabled functionalities, and customer-facing applications.

• Leverage AI-enabled development tools to brainstorm ideas, prototype solutions, and contribute directly as needed.

• Report directly to the Director of Product Engineering.

⛳️ Requirements

• Over 7 years of experience as an individual contributor in building and leading engineering teams within early-stage environments.

• At least 2 years of experience in a managerial engineering role.

• Strong foundation as an individual contributor with the technical expertise to guide architecture and assess trade-offs.

• Experience in delivering production-level AI or ML products, or overseeing engineering efforts in collaboration with data science or applied science teams.

• Knowledge of reliable systems surrounding models, including data pipelines, feedback loops, APIs, monitoring, and product workflows.

• Capability to lead through ambiguity and imperfect data.

• Experience managing teams of seasoned, opinionated engineers.

• Ability to link engineering initiatives to business and customer outcomes, including ARR.

• Proficiency in communicating technical decisions and fostering alignment across Engineering, Science, Product, and other stakeholders.

• Experience in healthcare, provider reimbursement, revenue cycle management, claims, or Independent Dispute Resolution (extra credit).

• Familiarity with optimization, experimentation, decision systems, strategy models, or feedback-driven ML products (extra credit).

• Experience in scaling an early engineering team or developing production AI systems using Python, GCP, and LLMs (extra credit).

• Must have authorization to work in the United States without current or future employer sponsorship.

🏝️ Benefits

• Equity.

• Comprehensive health, dental, and vision coverage.

• Retirement savings plan through a 401(k).

• Flexible time off.

• Opportunities for company-wide connection and events.

• Remote and hybrid flexibility varies by role and team.