Engineering Manager, Case Strategy

pivotal-healthRemote - USEngineering

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Opens the official pivotal-health careers page

Salary

$210K – $230K

Job type

Full-time

Work mode

Remote

Experience

Senior · 9+ yrs

Posted

21 Sept 2026

Status

Open · checked 7d ago

About this role

Pivotal Health is seeking an Engineering Manager for the Case Strategy team to lead software development for AI-driven healthcare reimbursement workflows. Based remotely in the United States, this role suits an experienced engineering leader with a background in early-stage environments and production AI systems.

Role Overview

Pivotal Health requires an Engineering Manager to head the Case Strategy Engineering team. This position reports to the Director of Product Engineering and focuses on engineering systems that convert data, AI, and machine learning capabilities into strategies for offers, Independent Dispute Resolution selection, position statements, and batching. The role carries high accountability, as outcomes directly influence customer lift and annual recurring revenue.

Key Responsibilities

Drive engineering outcomes that improve incremental customer reimbursement and connect technical roadmaps to annual recurring revenue.

Own data models, databases, APIs, services, and full-stack workflows applying case strategies throughout the dispute resolution process.

Partner with Science and AI Platform teams to transition AI and machine learning capabilities from experimentation into usable product experiences.

Construct systems that capture outcomes, surface useful signals, and feed real-world results back into model development.

Set priorities, coach engineers, establish accountability, and guide architectural decisions across Python services, Google Cloud Platform infrastructure, data systems, and LLM-enabled capabilities.

Hire additional engineers and define roles, ownership boundaries, and operating practices for a growing team.

Transform ambiguous product and technical challenges into structured plans, sequence work, and manage dependencies for predictable delivery.

Apply AI-enabled development tools to explore concepts, build prototypes, and contribute directly when helpful.

Requirements

Seven or more years of individual contributor experience alongside two or more years of management experience building and leading engineering teams in early-stage environments.

Individual contributor foundation with technical depth to guide architecture and evaluate technical tradeoffs.

Track record of delivering production AI or machine learning products or managing engineering work alongside data science teams.

Experience building reliable systems around models, including data pipelines, feedback loops, APIs, and monitoring.

Ability to lead through ambiguity and imperfect data while forming clear points of view.

Skill in managing an experienced team to create clarity and make decisions while maintaining technical debate.

Capability to connect engineering work to business outcomes tied directly to key performance indicators.

Proficiency in communicating technical decisions and creating cross-functional alignment.

Authorization to work in the United States without current or future employer sponsorship.

Nice to Have

Background in healthcare, provider reimbursement, revenue-cycle management, claims, or Independent Dispute Resolution.

Experience with optimization, experimentation, decision systems, strategy models, or feedback-driven machine learning products.

Experience scaling an early engineering team or constructing production artificial intelligence systems using Python, Google Cloud Platform, and Large Language Models.

Skills and Tools

Python

Google Cloud Platform

Large Language Models

APIs and Data Pipelines

Full-Stack Workflows

Databases and Data Models

Salary and Benefits

Salary range of $210,000 to $230,000 with equity offerings

Full health, dental, and vision coverage

Retirement savings plan through a 401(k)

Flexible time off

Opportunities for company-wide connection and events

About the Company

Pivotal Health provides a technology platform that combines software, data, and service into an AI-driven system helping healthcare providers dispute underpaid claims, reduce administrative burdens, and recover reimbursement. The organization maintains core hubs in Los Angeles and New York while offering remote flexibility for appropriate roles.

How to Apply

Interested candidates should apply on the official Pivotal Health careers page.

Skills and tech stack

Python Google Cloud Platform LLMs APIs Databases LLM GCP Machine Learning

Questions candidates ask

What is the salary and equity for the Engineering Manager role?

The position offers a salary range between $210K and $230K alongside equity offerings.

Is visa sponsorship available for this position?

No, candidates must be authorized to work in the United States without current or future employer sponsorship.

What experience level is required for this management role?

Candidates need 7+ years of individual contributor experience and 2+ years of management experience in early-stage environments.

Where is the job located?

The role is remote within the United States, with core company hubs located in Los Angeles and New York.

What benefits are included with employment?

Benefits include full health, dental, and vision coverage, a 401(k) retirement savings plan, flexible time off, and company-wide connection events.

Ready to apply?

The application is on the official pivotal-health careers page.

Apply on company site