Top Tech Jobs & Startup Jobs

Build and own the technical systems powering go-to-market operations, including CRM integrations, data pipelines, enrichment workflows, AI-powered tools, automations, and internal interfaces. Partner with Sales, Growth, and GTM Operations to improve account prioritization, research, routing, personalization, campaigns, and rep productivity. Maintain reliable data foundations and turn successful experiments into scalable systems.

Develop and lead a founder-focused content program for the CEO, including podcast and video concepts, guest research, interview scripts, thought leadership, newsletters, articles, and social content. Shape editorial strategy, brand voice, production quality, and distribution while translating healthcare AI and operational insights for post-acute care audiences. Travel to recordings and industry events, build relationships with operators and guests, and represent the company credibly.

The Content Marketer will create blog posts, customer stories, reports, guides, emails, social media, ads, website content, and sales materials. Responsibilities include conducting interviews, developing research-backed content, maintaining brand voice, collaborating with cross-functional teams, revising based on feedback, and using AI-native workflows to improve research, drafting, and editing. The role requires strong writing, editorial judgment, accuracy, speed, versatility, and the ability to manage multiple projects.

Own end-to-end data initiatives, including scalable ingestion and transformation pipelines, reusable data models, orchestration, validation, monitoring, and production operations. Improve performance, reliability, and infrastructure costs while partnering with product, operations, platform, ML, and engineering teams. Establish data engineering standards through technical design, code reviews, documentation, mentorship, and strong data quality and security practices.

Support marketing campaigns across email, social, content, events, paid channels, and partner programs. Create and edit marketing assets, maintain marketing systems and lead data, report on campaign performance, conduct market and competitive research, and support demand generation alongside Growth, Sales, RevOps, and Product teams.

Support outbound prospecting through email, LinkedIn, phone, and other channels; research healthcare accounts and decision-makers; develop messaging and multi-touch campaigns; maintain CRM data; track campaign performance; coordinate with Sales, Marketing, and Revenue Operations; support industry events; and complete independent growth projects.

Build and ship full-stack, user-facing healthcare software using TypeScript, PostgreSQL, AWS, APIs, integrations, and AI capabilities. Responsibilities include feature development, testing, code reviews, deployments, production support, incident triage, observability, and collaboration with engineering, product, design, operations, and ML teams. The role emphasizes scalable distributed systems, automated workflows, reusable solutions, and growing ownership through mentorship.

Own full-stack product features from workflow discovery through design, implementation, deployment, and production operation. Build scalable healthcare workflow systems using TypeScript, PostgreSQL, REST APIs, and AWS. Drive architectural decisions, reusable frameworks, testing, observability, incident response, and safe rollouts. Collaborate with product, clinical, operations, platform, ML, and customer-facing teams while shaping technical direction across multiple product areas.

Oversee daily accounting operations, including billing, AR, AP, reconciliations, month-end close, financial reporting, audit preparation, and payroll funding. Support budgeting, forecasting, cash flow management, internal controls, and process improvements. Identify opportunities to automate finance workflows and improve reporting accuracy as the company scales.

Develop and scale customer-facing analytics and reporting. Build dashboards, reports, and data tools; translate customer and business needs into data requirements; support product analytics and internal intelligence; resolve reporting issues; present insights to customers; and drive cross-functional data initiatives from problem definition through delivery.