Top Tech Jobs & Startup Jobs

Own a geographic territory and full sales cycle for healthcare AI technology, converting warm pipeline into enterprise revenue. Deliver on-site product demonstrations to skilled nursing and assisted living operators, sell across facility and corporate stakeholders, manage CRM forecasting, attend industry events, and provide market feedback. The role requires consultative field selling, multi-location operator experience, strong demonstration skills, entrepreneurial independence, and travel exceeding 50%.

Supports operations at a healthcare technology company focused on continuous contactless patient monitoring and AI-powered clinical insights. The role involves workflows containing sensitive patient and operational information, though specific responsibilities are not provided.

Own the complete People Operations function excluding recruiting across a distributed US, UK, and Pakistan workforce. Responsibilities include compensation and benefits, payroll and HRIS oversight, employee lifecycle processes, performance management, employee relations, investigations, compliance, policies, culture, immigration coordination, manager enablement, and people analytics. Initially operating independently, the role will build and lead the People Operations team as the company scales.

Own QA strategy and release readiness for a healthcare AI platform. Responsibilities include authoring risk-based test plans, designing exhaustive functional and negative test cases, building Python-based API and UI automation, validating integrations and data, maintaining CI/CD regression suites, triaging flaky tests, and producing audit-ready verification and validation documentation for medical-device regulatory submissions. The role also champions testability and quality practices across engineering.

Own enterprise customer implementations, multi-site rollouts, operating cadences, executive stakeholder management, and measurable customer outcomes. Lead launches for new healthcare verticals and products, analyze operational data, redesign workflows, and translate customer needs into scalable solutions with Product, Engineering, ML, and Clinical teams. Support deal-to-delivery handoffs and build repeatable implementation, escalation, and account-management playbooks.

Manage and grow strategic partnerships by ensuring successful onboarding, integration (EHR and enterprise systems), adoption of Circadia's monitoring and predictive analytics, driving partner outcomes, retention, and cross-functional coordination between clinical, product, and engineering teams.

Lead day-to-day customer support operations onsite in Los Angeles: manage team KPIs, distribute and audit cases, own HubSpot support desk, perform QA, handle inbound/outbound customer calls, coordinate device parts fulfillment with Field Operations, and maintain reporting and documentation hygiene.

Lead post-sale customer relationships for a healthcare AI platform, drive adoption and outcomes, coordinate enterprise EHR integrations, onboard and support clinical and operational teams, and act as a strategic partner to reduce rehospitalizations.

Own end-to-end clinical prediction models: design, train, evaluate, and ship models using physiological time series and EHR data. Define labels with clinical teams, build evaluation/backtesting and regression infrastructure, assess robustness and subgroup performance, support production deployment and monitoring, and contribute to validation and regulatory evidence.

Own ingestion, transformation, validation, and normalization of clinical and EHR data pipelines (HL7 v2, FHIR, CDC) into performant Snowflake and MySQL schemas. Build and monitor AWS-based pipelines, ensure data quality and PHI-compliant handling, and support downstream ML and application needs across enterprise integrations.