At AlayaCare, we’re more than just a fast-growing SaaS company, we’re a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients. Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career.

AlayaCare is the operating platform for home-based care. Every seller, every marketer, every customer success manager on this team has the potential to operate at a level most companies in this market never reach. You will design, build, ship, and scale the AI-enabled workflows and agents that turn AlayaCare’s GTM motion into a system that gets smarter every quarter.

Most competitors in home-based care are not building this yet. You are NOT here to evaluate tools or write decks about AI’s potential. Find and build the highest-leverage AI opportunities Partner with Sales, Marketing, Customer Success, and Revenue Operations & Enablement to identify manual work, bottlenecks, and data gaps where AI creates the most leverage.

Design, build, deploy, and scale AI-enabled workflows and agents across the revenue organization — from prospecting and pipeline management to customer onboarding, retention, and expansion. Own a prioritized backlog of AI and automation opportunities: define requirements, prototype quick, ship, measure impact, and iterate relentlessly. Research, evaluate, and pilot emerging AI technologies, agent-based workflows, and automation platforms to validate high-value applications before committing at scale.

Own the revenue tech stack as a unified, intelligent system Evaluate, optimize, and manage the integration of core revenue technology platforms — including HubSpot, Gong, ChurnZero, and related tools — ensuring clean data flows, reliable automation, and maximum utilization across the customer lifecycle. Design and document scalable integration logic, workflow architectures, and solution designs that connect the revenue tech stack into a coherent operating system. Support GTM operations including lead routing, data enrichment, account prioritization, pipeline management, forecasting, attribution, and revenue intelligence as the business evolves.

Define and track clear success metrics for every AI initiative: time saved, deal velocity, adoption rates, pipeline impact, and revenue outcomes. Build dashboards and reporting frameworks that surface actionable insights and demonstrate the ROI of AI and automation investments across the revenue org. Develop documentation, playbooks, and best practice frameworks that allow non-technical teammates to operate and extend the systems you build — you are writing AlayaCare’s AI operations playbook from the ground up, and it needs to hold.

Apply AI governance principles,



human-in-the-loop design, and monitoring practices to ensure every solution is reliable, ethical, and compliant with business and regulatory requirements. You have designed, built, and shipped AI-enabled workflows that are still running without you. Not proofs of concept — production systems with measurable outcomes.

Hands-on fluency with AI automation platforms — Clay, Zapier, Make, Workato, n8n, or equivalent — integrated with CRM, marketing automation, and customer success tools beyond surface-level configuration. Working knowledge of prompt engineering, agent-based workflows, AI orchestration, and emerging approaches like Model Context Protocol (MCP) — enough to evaluate, build, and govern with confidence. You manage tools effectively, understand APIs at a working level, know when to iterate versus when to escalate, and collaborate with technical colleagues when the problem demands it.

Scripting ability in Python or JavaScript is a genuine bonus — vibe-code welcome. Real time spent inside a revenue organization — RevOps, Sales Ops, Marketing Ops, Enablement, or GTM Operations — with a working understanding of how deals move, customers expand, and where friction lives. You know what a seller needs before a discovery call, what a CSM needs to identify churn risk early, and what a marketer needs to prioritize the right accounts.

Able to translate between business problems and technical requirements without losing either side of the conversation. Data-driven and analytically sharp Experience using data, dashboards, and reporting to identify opportunities, measure impact, and drive decisions — not just report on activity. Comfortable working with SQL, BI platforms (Power BI, Tableau, or equivalent), and data infrastructure such as Snowflake.

Track record of driving adoption across Sales, Marketing, CS, IT, and Leadership without formal authority — influencing through outcomes, not authority.

You likely come from one of these backgrounds: Ex-RevOps or GTM Ops builder who went deep on AI tooling and automation and realized the biggest leverage is in building systems, not maintaining them.

Technical

Marketing or Sales Ops specialist from a B2B SaaS company who has built end-to-end workflows across HubSpot, Gong, Clay, and related platforms — and is ready to own that work at a higher level of strategic impact inside a company that is serious about AI.



Early-stage GTM engineer at a SaaS company who built AI-powered prospecting, scoring, or CS automation in a rapid-moving environment with no playbook — and thrived. Now you want a bigger stage.

What all three share: you have shipped things that are running in production, you can point to the outcomes, and you are more energized by the next build than the last one. Every GTM function — Sales, Marketing, Customer Success, Enablement — has two to three AI-enabled workflows or agents running in production, built by you and operated independently by them. Not anecdotally — there is data behind it and you own the story.

A documented AI workflow library and governance framework exists. New initiatives are being built on top of a foundation you laid — not reinvented from scratch each time. You have a prioritized roadmap of what comes next, built from usage data, stakeholder feedback, and your own conviction about where the highest leverage still sits.

Every system you have shipped is documented, monitored, and extensible — and the teams using them can tell you exactly why it matters. At AlayaCare, our hybrid mode includes set in-office collaboration days, and it is expected that team members are present in the office on those days to foster connection, innovation, and teamwork. At AlayaCare, you’ll help build technology that empowers care providers and improves outcomes for patients and families.

Every line of code and every customer interaction contributes to making care more connected, accessible, and human. From “Wellness Fridays” to volunteer time off, to flexible vacation, we make sure you have the space to recharge, contribute to your community, and live your best life. Equity in a well-funded, scaling company. ~ Comprehensive health benefits, telemedicine, and lifestyle spending accounts. ~ Parental leave top-up and family support programs.

Employee-led events, summits, and social activities, both in-person and virtual, create meaningful connections across our global teams. Apply today and be part of a company that makes a real difference in the future of home and community care. AlayaCare uses AI tools during our hiring process to support fair, consistent, and objective decision-making.

Some initial screening steps may be automated to help identify qualified candidates. At AlayaCare, we consider a range of factors when determining compensation, including skills, qualifications, experience, and market data. These factors may cause compensation to vary.

AlayaCare offers a comprehensive benefits program, which may include medical, dental, wellness, life insurance, equity participation, paid parental leave top up, and paid time off. AlayaCare uses artificial intelligence enabled tools to support certain aspects of the recruitment process. 110,000 - $130,000 CAD

📌 Senior GTM AI & Automation Specialist (Toronto)
🏢 AlayaCare
📍 Toronto