pivotal-health - Engineering Manager, Case Strategy
Requirements
• You have spent several years (7+ as an IC and 2+ as a manager) building and leading engineering teams in early-stage environments where the structure, roadmap, and technical approach were still being defined. • You bring a strong individual-contributor foundation and enough technical depth to guide architecture, evaluate tradeoffs, and earn the trust of experienced engineers. • You have led the delivery of production AI or ML products, or managed engineering work in close partnership with data-science or applied-science teams. • You understand how to build reliable systems around models, including data pipelines, feedback loops, APIs, monitoring, and the product workflows where model outputs are applied. • You can lead through ambiguity and imperfect data, forming clear points of view without waiting for every question to be resolved. • You know how to manage an experienced, opinionated team—creating clarity and making decisions without shutting down productive disagreement. • You connect engineering work to business and customer outcomes and are prepared to own results tied directly to Pivotal’s most important KPI: ARR. • You communicate technical decisions with precision and can create alignment across Engineering, Science, Product, and other partners. • Experience in healthcare, provider reimbursement, revenue-cycle management, claims, or Independent Dispute Resolution. • Experience with optimization, experimentation, decision systems, strategy models, or feedback-driven ML products. • Experience scaling an early engineering team or building production AI systems using Python, GCP, and LLMs.
Responsibilities
• Own Customer Lift: Drive the engineering outcomes that improve the incremental reimbursement Pivotal delivers for customers. Connect the team’s technical roadmap to measurable gains in customer value and ARR. • Build the Case Strategy Platform: Own the data models, databases, APIs, services, and full-stack workflows that apply case strategies throughout the IDR process. • Turn Models Into Product Capabilities: Work with Science and AI Platform to move AI and ML capabilities from experimentation into reliable, usable product experiences. • Create a Data and Feedback Flywheel: Build the systems that capture outcomes, surface useful signals, and feed real-world results back into model development and strategy improvement. • Lead an Experienced Engineering Team: Set clear priorities, coach engineers, create accountability, and make sound decisions while preserving the rigorous technical debate that makes the team stronger. • Grow and Structure the Organization: Hire additional engineers and establish the roles, ownership boundaries, and operating practices the team needs as its scope expands. • Drive Predictable Delivery: Turn ambiguous product and technical problems into clear plans, sequence the work, manage dependencies, and ensure the team ships meaningful improvements consistently. • Shape the Technical Direction: Guide architectural decisions across Python services, GCP infrastructure, data systems, LLM-enabled capabilities, and customer-facing applications. • Use AI to Stay Close to the Work: Apply AI-enabled development tools to explore ideas, prototype solutions, and contribute directly when doing so accelerates the team or improves a technical decision.
Benefits
• $210K – $230K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • If helpful, feel free to share how to pronounce your name. • We’ll only use this to contact you about your application. • Your resume gives us context on your experience. Feel free to include links to LinkedIn, GitHub, or anything you’re proud of. • or drag and drop here • We ask this to understand time zone alignment, work authorization, and any role-specific location needs. Remote and hybrid expectations vary by role and are shared in the job description. • This helps us understand work authorization requirements. We do not use this information to evaluate qualifications for the role. • We ask this to understand your general expectations; it’s not a commitment or final offer. Compensation is based on role scope, experience, and location. • This helps us understand how candidates find us. • Event/Confernece • Feel free to share a portfolio, GitHub, or anything else that helps tell your story. • I prefer not to answer • Another Gender Identity • Heterosexual / straight • Asian or Asian American • Black or African American • Hispanic or Latine • Indigenous or Native American • Native Hawaiian or Other Pacific Islander • Person with disability • Refugee or immigrant • None of the above
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