Top Tech Jobs & Startup Jobs

The Director of Product and Solutions Management will lead AI-driven healthcare services, overseeing product lifecycle, development, and team management. Responsibilities include creating strategic roadmaps, optimizing service delivery, and fostering innovation within the team.

Leads end-to-end healthcare technology implementations from kickoff through go-live, managing timelines, budgets, resources, risks, integrations, training, operational readiness, and transition to Customer Success. Provides strategic direction, coaches cross-functional teams, coordinates clients and vendors, oversees implementation methodologies, resolves impediments, and drives process standardization and continuous improvement across complex health plan programs.

Designs and executes end-to-end, functional, regression, manual, automated, and security testing for AI-driven clinical and patient workflows. Translates requirements into test cases, validates AI conversations and data integrity, tracks defects, maintains requirements traceability, and supports release signoffs. Collaborates with Product, Engineering, Data Science, clinical, and distributed QA teams to ensure software quality, clinical safety, compliance, and user trust.

Own demand generation and account-based marketing initiatives for a healthcare platform targeting large health systems. Develop quarterly marketing plans, manage budgets, execute integrated paid, content, event, outbound, and nurturing campaigns, and collaborate with Sales, SDRs, Product Marketing, and Corporate Communications. Build performance dashboards, optimize campaign spend and funnel velocity, produce marketing and sales enablement assets, and support trade shows and event activations.

Full-stack Senior Software Engineer building AI-agent features (voice/text bots), integrating generative AI APIs, developing cloud data access layers, owning production reliability and on-call duties, mentoring peers, and collaborating across product, QA, and infra teams.

Designs, develops, and maintains cloud-native SaaS applications across the full software lifecycle. Builds data layers, uses LLMs and AI tools, mentors junior developers, creates internal UIs, and follows best practices including IaC and Agile methodologies.

Lead development of production voice AI and clinical models: build real-time conversational agents, train and fine-tune neural networks and LLMs on clinical data, create simulation and evaluation pipelines, ensure safety and quality, and partner with cross-functional teams while mentoring junior staff.

The GCP AI Engineer will lead development of AI solutions on Google Cloud to enhance patient care, automate workflows, and ensure operational reliability through integrated AI systems in healthcare data environments.