Top Tech Jobs & Startup Jobs

Build and evolve machine learning tooling and infrastructure for AI-powered clinical solutions, including automated prompt tuning, feedback loops, model benchmarking, experimentation, and evaluation. Partner with data science, clinical, software engineering, and product teams to develop scalable solutions, solve ambiguous technical problems, establish engineering standards, and provide technical mentorship without direct management responsibility.

Owns strategy and lifecycle delivery for AI, data, and healthcare technology products. Leads customer discovery, requirements, prioritization, integrations, investment cases, pricing, adoption, and performance measurement. Partners with clinical, data science, engineering, commercial, customer, and executive teams to deliver enterprise products and improve clinical, operational, and financial outcomes. Mentors product managers and serves as a senior individual contributor.

Owns a significant healthcare product area as product owner for a delivery team. Defines roadmap objectives, requirements, priorities, KPIs, and business cases; conducts customer discovery, market and workflow analysis; and makes product tradeoffs. Partners with engineering, design, clinical, data, compliance, security, sales, and vendors to deliver measurable outcomes. The role also supports go-to-market readiness, improves product practices, mentors junior product managers, and uses AI-assisted workflows.

Drives revenue growth across strategic healthcare provider accounts, including health systems, hospitals, and integrated delivery networks. Responsibilities include prospecting, account and territory planning, executive engagement, solution positioning, proposal development, contract negotiation, forecasting, and managing complex enterprise sales cycles. Partners with account management and cross-functional teams to acquire and expand clients, support RFPs, maintain Salesforce pipeline visibility, and achieve sales quotas. The role requires substantial provider healthcare knowledge and up to 60% travel.

Leads MCG’s enterprise marketing strategy, brand positioning, demand generation, digital marketing, market intelligence, and commercial growth initiatives. Establishes the marketing operating model, governance, budget, performance metrics, and investment priorities. Partners with executive, sales, product, customer success, and revenue operations leaders to drive pipeline, acquisition, retention, and expansion. Oversees AI-enabled marketing transformation, marketing technology optimization, social media, organizational development, and external partnerships while building a high-performing marketing leadership team.

Lead the data engineering foundation for MCG’s AI products. Build and operate data platforms, ingestion and transformation workflows, governed datasets, dashboards, and reliable production pipelines. Partner with Product, Engineering, Data Science, and customers to translate needs into technical solutions, support machine learning lifecycles, identify insights, and inform AI product decisions and roadmaps.

Leads architecture for scalable, reliable agent-based AI products. Partners with product, engineering, data science, clinical, and customer teams to translate needs into architectures, prototypes, technical recommendations, and delivery plans. Conducts technical discovery, engages early-stage customers, evaluates adoption barriers, and guides solutions from proof of concept to production. Requires strong architecture judgment, communication, and experience shipping large-scale AI systems, with healthcare, deep learning, or NLP experience preferred.

The Senior Product Manager will define and execute strategy for data platform capabilities, ensuring data usability, leading cross-functional teams, and driving measurable business outcomes in healthcare settings.

Lead design and operation of the Synapse Everywhere external API platform: define API surface and guarantees, translate product and clinical requirements into contracts, own reliability and on-call incident response, provide technical mentorship and code reviews, and design scalable, secure cloud-native solutions (k8s, LLMs) with strong developer experience.