Top Tech Jobs & Startup Jobs

Consults on enterprise Hardware Asset Management systems and processes, translating business and technical requirements into scalable solutions. Drives workflow automation, data governance, reporting, compliance, audit support, and lifecycle optimization. Leads cross-functional system enhancement initiatives, analyzes asset datasets, manages KPIs, supports UAT, and advises stakeholders on ServiceNow HAM and related platforms.

Leads end-to-end development of scalable full-stack applications using .NET, C#, and Angular. Designs AI-powered solutions, manages Azure or AWS cloud infrastructure, integrates SAST and DAST security testing, improves observability with Datadog, and develops CI/CD pipelines using GitHub Workflows and JFrog Artifactory. The role also includes application performance tuning, production support, technical mentoring, and translating business needs into secure, scalable applications.

Own the strategy, roadmap, discovery, prioritization, and delivery of a portfolio of AI-powered products, analytics solutions, and machine learning capabilities. Partner with data scientists, engineers, and business teams to deliver measurable patient and business outcomes. Establish responsible AI governance, evaluation criteria, guardrails, metrics, and OKRs while influencing senior leaders across a regulated healthcare organization. Mentor product professionals and communicate portfolio strategy, risks, and results to executives and stakeholders.

Provides routine customer and employee assistance support, handles standard and non-standard requests, resolves routine issues, organizes work to meet deadlines, collaborates with team members, and adapts to flexible shifts and changing work requirements.

Lead and grow a regional home health sales organization: hire, coach, and retain account executives; set and drive admit and census goals; develop field best practices; partner with operations; implement corporate initiatives; travel extensively within the assigned region.

Manage a portfolio of PBM clients to drive retention, satisfaction, growth and upsells. Lead implementations, validate claims, monitor SLAs, negotiate renewals, and liaise between clients and internal teams. Travel up to 25% as needed.

Administer, architect, optimize, secure, and automate PostgreSQL, MySQL, and Snowflake databases in Azure. The role develops resilient database solutions for healthcare applications, manages performance, access controls, encryption, backups, and disaster recovery, and creates technical documentation. It collaborates across Scrum teams, presents solutions to stakeholders, evaluates emerging technologies, uses approved AI tools, solves complex database challenges, and mentors junior engineers.

Designs and deploys advanced AI/ML solutions, including generative AI, agentic systems, deep learning, RAG, NLP, speech, and vision applications. Responsibilities include algorithm development, experimentation, responsible AI implementation, training pipeline optimization, and production integration using Azure and Databricks. The role partners with engineering and product teams, contributes to research and open source, and develops intelligent enterprise applications with Azure OpenAI and related technologies.

Owns product strategy, roadmap, prioritization, release planning, and commercial enablement for InterQual Connect and InterQual Medical Review Service. Responsibilities include managing platform integrations, partner relationships, PRDs, intake and triage, release calendars, customer and market insights, product positioning, sales enablement, and healthcare interoperability requirements. The role requires extensive product management experience, technical integration expertise, and knowledge of HL7 FHIR and related standards.

Leads enterprise technology delivery across data engineering, AI automation, cloud modernization, and client implementation portfolios. Owns execution outcomes, roadmaps, governance, budgets, risks, and ROI for multi-million-dollar programs. Builds globally distributed manager-of-managers teams, drives AI-enabled engineering practices, responsible AI governance, DevOps maturity, platform modernization, operational reliability, and executive stakeholder alignment.