15 Oct
|
Tali AI
|
Toronto
Our AI-powered medical assistant empowers clinicians by removing the administrative burden that pulls them away from patients. When clinicians can focus on care, healthcare becomes more accessible, more human, and more sustainable. Tali is transforming the industry, serving thousands of clinicians across Canada and the US, accelerating millions of patient encounters annually, saving clinicians more than 10 hours a week. That time goes back to where it matters most, patient care. We’re hiring our first dedicated GTM Operations Engineer;
someone who will own the connective tissue across Sales, Marketing, Customer Success, and Product. Right now these functions are each well-run but not fully wired together. Your mission: architect an AI-first revenue supply chain where every decision point from prospect identification to deal closure to expansion is informed by intelligence, optimized by automation, and freed from busywork. This is hands-on work. You will live in Clay, HubSpot, Zapier, and our data pipelines. You are not managing a team or setting strategy — Sales, Marketing, and CS leaders do that. Tech Stack & Data Architecture Work with Data Ops to build a unified data architecture that brings together signals from Clay, HubSpot, product usage databases, Attention call intelligence, and rep input into a single system of record Build automated data hygiene and de-duplication logic that keeps the CRM clean without requiring manual intervention Implement validation rules and automation that enforce data quality at the point of entry Clay → HubSpot, Zapier workflows, Attention → HubSpot, and product database → CRM pipelines Design and maintain dashboards that give leadership real-time visibility into pipeline health, conversion rates, velocity, and revenue attribution Monitor the efficiency of outbound sequences, account scoring, and lead routing, and iterate based on what the data tells you Account Intelligence & Scoring Design and operate account identification workflows that source, score, and rank prospects by ICP fit and readiness, clinic size, EMR system, specialty mix, and location Build multi-signal company scoring models weighting firmographic data (group practice size, EMR in use, province), intent signals, and behavioral indicators Implement contact-level scoring that identifies clinic owners, medical directors, practice managers, and CMIO personas within target accounts Create feedback loops where rep outcomes and deal results continuously improve scoring accuracy and account prioritization Own waterfall enrichment pipelines across Apollo, Clay, and LinkedIn to ensure data coverage and accuracy for Canadian healthcare targets right persona, right clinic, right moment, at scale Build and iterate AI workflows that generate research summaries, account context,
and personalization data for each prospect and persona Implement intent-based and signal-based timing logic that identifies optimal engagement windows for each account Automate lead routing, de-duplication, and assignment logic in HubSpot so reps always work the right accounts Build trigger-based workflows that activate follow-up sequences based on prospect behavior, email engagement, and website activity Create systems that connect marketing activity (webinar attendance, content downloads, form fills) to prospect and account scoring in real time Build handoff logic from Marketing to Sales that surfaces ready-to-engage leads with full context — what they viewed, where they came from, what stage they’re in Implement account-based workflows that coordinate multi-touch outreach across all buying group members within high-value clinic targets Customer Intelligence & Expansion (Post Sales) Work with Data Ops to design systems that surface expansion opportunities by correlating product usage data, EMR push rates, seat utilization, and feature adoption with revenue potential Build workflows that automatically flag at-risk accounts (low push rates, declining engagement, stalled onboarding) and route them to the right CS owner Build the routing and alerting logic that CS’s expansion strategy runs on, surfacing the right signals at the right time so no opportunity or risk goes unnoticed Wire Attention call intelligence outputs into HubSpot so that post-call insights, next steps, and risk flags flow automatically into account records without rep data entry 2 - 5 years of hands-on experience in GTM Ops, Rev Ops, Sales Ops, or a closely related technical role at a B2B SaaS company - you’ve shipped systems that move the needle ~ Expert-level HubSpot skills: complex workflows, data models, lifecycle logic, and real operational problem-solving ~ Deep Clay experience: multi-step enrichment workflows, AI research agents (Claygents), and operationalizing data pipelines at scale ~ Familiarity with call intelligence platforms (Attention or Gong) and integrating call outputs into CRM workflows ~ Comfortable writing code or scripts (Python, JavaScript, or SQL) to automate and integrate;
Data-first mindset: you think in CAC, conversion rates, velocity, and attribution before you think in features or tools ~ Ability to take strategic direction from experienced GTM leaders and build systems that serve them. You don’t need to have run a sales or marketing function, but you need to understand what they’re trying to accomplish ~ Track record of building GTM systems that demonstrably improved pipeline volume,
deal quality, or velocity ~ This role has no direct reports and is designed for someone who gets energy from building, not managing You will own and operate all of these tools from day one: HubSpot CRM & Workflows Attention, Gong Call Intelligence BigQuery, SQL Data & Analytics Fractional VP of Sales - outbound architecture, sequencing strategy, pipeline intelligence, and GTM automation roadmap Marketing - inbound/outbound coordination, nurture workflows, and full-funnel attribution Customer Success - expansion signal routing, churn risk alerting, and CS operating cadences Engineering & Data - product usage signals, BigQuery pipelines, and analytics infrastructure wired into GTM Product & Analytics - adoption patterns, feature usage, and customer health signals feeding the revenue machine Our product gives time back to clinicians and your systems help us reach the clinics that need it most. Clay enrichment pipelines, HubSpot workflows, and CS operating systems are in motion. Growth-stage resources with startup velocity. Your work ships quick and has immediate impact. Competitive compensation, equity, and benefits. You’re building something worth owning. The compensation range listed refers to an annual base salary that may vary depending on a candidate's relevant qualifications, knowledge, competencies and work experience, and other factors including market conditions. All full-time employees enjoy: ~ Remote and hybrid work options & flexible work hours ~ Comprehensive health and wellness coverage from day one ~ Competitive PTO, including winter shutdown Dec 25 - Jan 1, birthdays and Taliversaries, and 'extra long' long weekends ~$Quarterly socials & company outings that bring our team together beyond the day-to-day Bold: we embrace ambitious goals, make courageous decisions, and take calculated risks to drive impactful innovation and growth We consistently deliver on commitments while maintaining a high standard of quality and dependability Actively supporting and empathizing with our people - customers, patients, and colleagues to help them thrive and achieve their goals Technical Excellence: What you build here sets the bar. You’ll work with cutting-edge technology to help shape a truly world-class product. As an early-stage startup, every team member helps shape our technology, culture, and future. You’ll help build and support systems that handle highly sensitive medical data with care and integrity, earning the trust of clinicians and safeguarding the safety of patients every day. Tali Online Tali is part of the renowned Digital Supercluster Project We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please contact us.
📌 Remote Operation Engineer (Toronto)
🏢 Tali AI
📍 Toronto