Sr Manager, Software Engineering

ABOUT THE ROLE

GHX is seeking a Senior Engineering Manager to lead a multi-disciplinary engineering team that powers intelligent, AI-augmented automation across multiple product lines with document understanding — extracting structured meaning from unstructured documents and data — as one of its core technical problems. This team spans three areas: a platform engineering team (AI, DevOps, Infra, architecture, business continuity, security etc.), a set of product-line delivery teams (each building product-specific business logic, validation, and integrations), and a team building the Human-in-the-Loop (HiTL) application along with reporting/analytics capabilities.

You will lead through team leads or senior engineers rather than running delivery for a single team directly. You will set technical direction for shared platform capabilities that every product-line team depends on, while ensuring each product line independently meets its own functionality, quality, and delivery commitments. You will work directly with business, product, and operations stakeholders across every product line this platform serves, and you will own end-to-end outcomes: people, technical direction, and customer impact across the full teams.

RESPONSIBILITIES

Organizational & Engineering Leadership:

• Lead and develop a multi-disciplinary team spanning platform engineering, product-line delivery teams, and HiTL/analytics, working through team leads and senior engineers rather than direct, single-team execution.

• Set technical direction for shared platform capabilities (AI/agents, infra, security, cost optimization, eval pipelines) that multiple product-line teams depend on.

• Build and grow leads and senior engineers within each team, developing the next layer of technical leadership, not just individual contributors.

• Own the vendor relationship for external development partners: define interface contracts, hold delivery leads accountable across teams, and resolve cross-team dependencies.

• Establish org-wide engineering culture, standards, and practices that scale consistently across all three streams.

Technical Direction & Architecture:

• Guide architectural and design decisions across product-line teams to ensure consistency, reuse, and alignment with the shared platform.

• Resolve cross-team technical trade-offs — for example, shared platform constraints versus a product line's specific needs.

• Engage hands-on selectively, on foundational platform decisions or critical blockers

• Champion AI-augmented engineering practices (AI-assisted code generation, review, test automation) across all teams, ensuring adoption and responsible use of AI/LLM tooling with appropriate evaluation, monitoring, and human-in-the-loop controls.

Stakeholder & Delivery Management:

• Interface directly with business, product, operations and support stakeholders for each product line to align priorities, resolve conflicts, and ensure each line's functionality, quality, and timelines are independently met.

• Balance platform-level priorities, which are shared