Top Tech Jobs & Startup Jobs

Leads financial protection growth across Specialty Benefits by driving sales strategies, broker and market development, product positioning, underwriting collaboration, retention, and complex sales support. Builds relationships with sales, account management, consulting, and brokerage partners; coaches sales teams; presents product solutions; supports new product rollouts; and represents market insights to product and senior leadership. Requires specialty or employee benefits experience, cross-functional collaboration, sales training, and 30% travel.

Designs and maintains automated test frameworks using Python, ROBOT Framework, and Selenium. Integrates testing into CI/CD pipelines, validates databases and APIs, executes cross-platform tests in cloud environments, analyzes defects, and improves test coverage. The role collaborates with product teams, mentors junior QA engineers, and applies AI tools, prompt engineering, and modern cloud and DevOps practices to enhance testing and development quality.

Build and operate production machine learning systems enabling autonomous medical coding at scale. Responsibilities include data discovery, feature engineering, model training and evaluation, deployment, monitoring, MLOps pipelines, LLM integration, observability, governance, fairness assessment, and A/B testing. The role also involves designing highly available low-latency architectures, defining technical roadmaps, and collaborating with product, design, data, and platform teams.

Supervise home-delivery pharmacy inventory operations, including receiving, storage, fulfillment, shipping, replenishment, audits, cycle counts, discrepancy resolution, expiration management, recalls, and vendor returns. Maintain WMS accuracy, analyze inventory KPIs, improve processes, ensure regulatory compliance, and lead physical inventories. Manage and develop inventory staff through training, performance evaluations, scheduling, and productivity oversight while coordinating with procurement, supply chain, quality, engineering, and operations teams.

Leads a global software engineering organization responsible for Payment Integrity capital projects and operational systems. Owns engineering delivery, organizational scaling, AI/ML adoption, cloud and interoperability standards, DevSecOps, automated testing, FinOps, reliability, compliance, and security across regulated payer workflows. Partners with executive stakeholders on roadmaps, budgets, costs, and growth while developing senior engineering leaders and succession pipelines.

Leads enterprise AI application architecture and hands-on development for LLM, agentic, multi-agent, and RAG solutions. Establishes scalable design patterns, governance standards, observability, reliability, and compliance practices. Collaborates with product, engineering, and compliance teams, evaluates emerging AI technologies, optimizes performance, and mentors senior engineers. The role requires extensive software engineering and enterprise AI architecture experience, with expertise in cloud-native systems, Kubernetes, CI/CD, MLOps, and production AI platforms.

Provide time-sensitive technical support for production radiology systems affecting patient care. Troubleshoot Windows, network, hardware, storage, database, RIS, and PACS issues; document incidents, collect logs, manage a 20–30-case ticket backlog, and coordinate with internal teams to resolve customer problems. The role requires customer service, scheduled shifts, and participation in an on-call rotation.

Leads the design, development, deployment, and governance of AI/ML and Generative AI solutions. Builds enterprise ML Ops capabilities, including automated training, deployment, monitoring, rollback, observability, and lifecycle management. Guides RAG, prompt engineering, orchestration, responsible AI, and cloud enablement strategies. Manages and mentors AI/ML engineering teams, coordinates cross-functional delivery, and advances scalable, secure, compliant AI adoption across the organization.

Leads healthcare consulting engagements and enterprise programs, establishing PMO frameworks, managing risks, resources, milestones, and client relationships. Advises clients on AI-enabled process, product, and operational improvements; presents to senior leadership; oversees project delivery and financial targets; and mentors cross-functional teams. The role also drives change, process improvement, product capability development, and responsible adoption of AI tools across consulting engagements.

Leads complex technology, data, analytics, and transformation initiatives from planning through production deployment. Defines scope, requirements, timelines, and success measures; manages project plans, risks, dependencies, governance, and cross-functional deliverables. Coordinates Product, Engineering, Data Science, Architecture, Compliance, Privacy, Legal, and Operations stakeholders. Drives implementation readiness, communicates status and recommendations to senior leaders, and supports data assets, integrations, platform enhancements, and continuous improvement.