Jobs at ExaCare

Build and maintain end-to-end machine learning infrastructure, including data and training pipelines, deployment workflows, monitoring systems, and supporting platforms. Partner with researchers and ML practitioners to productionize models, improve reliability, scalability, observability, reproducibility, speed, and cost efficiency, and automate operational workflows. This engineering-focused role supports reliable production ML systems rather than research-first development.

Own accounting operations including billing, collections, accounts payable, reconciliations, month-end close, and accounts receivable reporting. Maintain financial systems and data integrity across HubSpot, Brex, Rillet, and banking tools. Support audits, accounting policies, controls, forecasting, and scalable process improvements while partnering with Sales, Customer Success, and Operations. The role is based in Toronto and requires in-office collaboration three days per week.

Own end-to-end software development for a healthcare admissions platform. Build and release React interfaces, REST endpoints, background services, internal dashboards, feature-flag systems, and DevOps automations. Write TypeScript and SQL, develop automated tests, support zero-downtime releases, triage production incidents, and translate customer workflow pain points into scalable product capabilities.

Deliver technical customer onboarding, platform configuration, user training, documentation, and implementation support. Translate customer workflows into ExaCare configurations, manage implementation communications and timelines, triage onboarding issues, and coordinate with Engineering, Support, Sales, Customer Success, and Operations. Continuously improve onboarding processes through post-mortems, SOPs, playbooks, and customer feedback while maintaining organized project and CRM records.

Own product marketing from 0 to 1, including segmentation, positioning, messaging, competitive strategy, product launches, sales enablement, pricing and packaging support, customer programs, and website conversion. Partner across Product, Sales, Growth, and Operations to translate complex healthcare AI solutions into clear value propositions, improve acquisition and conversion, and drive product understanding and adoption.

Leads finance strategy, FP&A, accounting, forecasting, budgeting, cash management, compliance, reporting, fundraising, investor relations, and financial systems. Partners with executives and the Board on capital allocation and growth planning, oversees SaaS metrics and ASC 606 revenue recognition, builds scalable processes, and recruits and develops the finance team in a rapidly growing startup.

Build and improve business operations systems supporting customer onboarding and implementation. Responsibilities include redesigning workflows, automating repetitive work, partnering with product and engineering on internal tools, analyzing operational data, documenting processes, and executing initiatives that improve team capacity and scalability.

Supports marketing campaigns across email, social, content, and events; creates website copy, case studies, social posts, and sales materials; conducts market and competitive research; tracks campaign performance; and partners with Sales and Product on demand generation and customer engagement programs.

Own brand design across campaigns, product launches, websites, events, paid advertising, social, and print. Build and evolve the company’s visual identity system, create polished assets from concept through execution, and provide strong creative direction. Collaborate with marketing, sales, developers, and external creative partners while maintaining high design standards. Design responsive web experiences with clean development handoff, and use AI-native workflows to improve ideation, production speed, and creative scale.

The Assistant Controller will own core accounting operations, including billing, collections, accounts payable, reconciliations, and month-end close support. Responsibilities include maintaining finance systems, ensuring billing and contract data integrity, managing accounts receivable reporting and collections forecasting, preparing audit support, implementing controls, and improving scalable accounting workflows. The role partners with Sales, Customer Success, and Operations in a fast-paced startup environment.

Supports the CEO of a fast-growing AI health technology company by managing complex calendars, meeting priorities, travel, conferences, offsites, correspondence, inbox organization, records, and confidential information. The role also provides light office support and assists with evolving operational projects. Success requires exceptional organization, communication, discretion, judgment, initiative, and proficiency with modern productivity tools in a fast-paced hybrid startup environment.

Own core product areas from customer discovery through launch and commercial scale. Develop product vision, strategy, roadmaps, specifications, prototypes, and lifecycle plans. Partner closely with engineering, design, sales, growth, finance, and customer teams to build AI-powered healthcare products. Monitor customers, workflows, competitors, market shifts, and regulatory changes to guide product decisions.

Own frontline customer product support, troubleshoot and triage issues, identify recurring problems, and coordinate resolutions with Product and Engineering. Build help articles, FAQs, training materials, videos, and SOPs; enable internal BizOps and Sales teams; analyze support trends; represent customer feedback in product discussions; and develop expertise in healthcare technology, AI, integrations, and workflows.

Own the company’s 0-to-1 growth marketing engine, including pipeline planning, integrated campaigns, ABM, paid acquisition, conversion optimization, lifecycle marketing, HubSpot automation, experimentation, and reporting. Partner closely with Sales, RevOps, and Content to build scalable campaigns, improve lead management, and drive measurable pipeline and revenue in an early-stage B2B SaaS environment.

Build and own the systems, data, processes, and infrastructure powering the company’s go-to-market engine. Responsibilities include CRM ownership, lifecycle and deal-stage definition, outbound optimization, ICP scoring, pipeline generation, forecasting, dashboard development, and identifying improvements across the full revenue funnel. Partner with Sales, Growth, Marketing, Business Operations, and leadership in a high-growth startup environment.

Own the full sales cycle for exacare ai’s post-acute care platform, including prospecting, discovery, demos, pricing, negotiation, and closing. Build pipeline within nursing home and post-acute markets, develop relationships with senior decision-makers, collaborate with the CEO and Customer Success, refine go-to-market strategy, and maintain accurate CRM forecasting. The role requires outbound sales strength, strong communication, business curiosity, coachability, grit, and independent ownership.

Build and scale platform infrastructure, backend services, cloud systems, CI/CD pipelines, and internal developer tooling. Own highly available production systems using TypeScript, PostgreSQL, AWS, Docker, and Kubernetes. Improve deployment workflows, observability, incident response, infrastructure automation, security, and system resiliency. Design APIs, event-driven workflows, queues, and integrations while partnering with product, engineering, and operations teams on scalable healthcare technology.

Develop and scale customer-facing analytics, dashboards, reports, and data products for a healthcare AI platform. Partner with Product, Engineering, Sales, BizOps, customers, and other stakeholders to translate needs into data requirements and actionable insights. Lead reporting initiatives, resolve customer reporting issues, support high-stakes customer interactions, improve internal workflows, and help productize operational and clinical data into differentiated customer value.

Build and scale frontend architecture, responsive data-rich experiences, shared components, design-system standards, accessibility practices, Storybook documentation, automated quality guardrails, and frontend tooling. Contribute to backend APIs and platform improvements while collaborating with product and design teams. Mentor engineers and improve frontend quality, consistency, maintainability, and scalability across the organization.

Build and scale production machine learning infrastructure, including data and training pipelines, deployment workflows, monitoring, and supporting systems. Partner with researchers and ML practitioners to productionize models, improve reliability, scalability, observability, reproducibility, speed, and cost efficiency, and automate operational processes across the ML lifecycle.