Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Provides post-sale support for approximately 20 healthcare client accounts, handling emails, cases, calls, claim reviews, patient balances, and demographic issues. Advises practice staff on revenue cycle best practices, resolves transactional questions within SLAs, identifies recurring problems, escalates complex issues, and recommends workflow, documentation, training, and risk-mitigation improvements. The role also identifies client pain points and potential expansion opportunities.

Own post-sale relationships for strategic healthcare clients, driving retention, expansion, adoption, and advocacy. Advise customers on product value, stabilization, training, and workflow improvements; monitor engagement and churn metrics; identify upsell opportunities; resolve escalations; document communications in Gainsight and Salesforce; lead customer health reviews; and support other customer success managers.

Provides frontline B2B SaaS product support to Klara users through phone, email, and chat. Troubleshoots software issues, performs browser and API diagnostics, documents and escalates complex problems, authors knowledge-base content, collaborates cross-functionally, and recommends workflow improvements using AI productivity tools. The role requires strong customer communication, multitasking across support channels, and availability from 11 a.m. to 8 p.m. EST, including occasional weekends.

Design and implement scalable analytics/data models and dbt pipelines, manage Databricks, build dashboards and BI solutions, partner with business stakeholders, support CRM/marketing analytics, and explore GenAI/ML opportunities to deliver reliable, automated data products.

Drive revenue growth for revenue cycle management solutions across a strategic territory. Develop sales strategies, acquire and expand large healthcare accounts, manage the full sales cycle, build executive relationships, present tailored value propositions, forecast pipeline, collaborate on onboarding, monitor market trends, and represent the company at industry events. The role requires deep healthcare revenue cycle knowledge, strategic sales expertise, quota achievement, negotiation skills, and domestic travel up to 25%.

Showcase ModMed’s EHR and ancillary healthcare software through clinical discovery, workflow analysis, and onsite or remote demonstrations. Partner with sales teams to advance opportunities, address clinical and operational needs, complete RFI/RFP materials, support sales and marketing events, and transition qualified clients to professional services. The role requires strong healthcare workflow knowledge, presentation skills, and up to 50% domestic travel.

Manages and negotiates high-volume commercial agreements, including SaaS subscriptions, MSAs, SOWs, NDAs, DPAs, and BAAs. Supports Sales and Procurement with deal enablement, contract workflows, risk reviews, healthcare compliance, CLM administration, templates, reporting, audit readiness, and process training. Coordinates with Security, Privacy, Finance, and Customer Success while escalating non-standard risks to attorneys.

Provides software support to EMR users by handling inbound inquiries, troubleshooting application issues, documenting and replicating bugs, educating clients, and coordinating escalations. The role supports either clinical or practice management teams, requires strong communication and prioritization skills, and involves handling 25 or more calls daily. It is a hybrid position based in Boca Raton, Florida, with onsite work three days weekly for local employees.

Generates qualified sales opportunities through inbound and outbound prospecting, cold calls, email campaigns, and LinkedIn outreach. Researches prospects, communicates product value, overcomes objections, qualifies leads, schedules demonstrations for Regional Sales Managers, and maintains accurate activity records in sales tools. The role requires meeting opportunity quotas while developing healthcare industry knowledge and foundational sales skills.

Leads enterprise AI and data governance, including AI allowlist management, data classification, DSPM/DLP requirements and validation, data-flow tracking, privacy assessments, vendor risk reviews, and policy evolution. Partners with Legal, Security, and Engineering to implement privacy-by-design and align governance with GDPR, CCPA, NIST AI RMF, and the EU AI Act.