Job Description & How to Apply Below
Key Responsibilities:
Design and operate account identification workflows that source, score, and rank prospects by fit and readiness ld multi-signal company scoring models that weight firmographic data, intent signals, product usage (for existing customers), and behavioral indicators.
Implement contact-level scoring that identifies key decision‑makers, influencers, and blockers within target accounts.
Create feedback loops where rep activity and deal outcomes continuously improve scoring accuracy and account prioritization.
Own the waterfall enrichment pipelines across data providers (Apollo, Zoom Info, Linked In) to ensure coverage and accuracy.
Required Qualifications:
2–5 years of hands-on experience in GTM Engineering, Rev Ops, Sales Operations, or a closely related technical role at a B2B SaaS company.
Expert‑level Hub Spot skills: you've built complex workflows, designed data models, and solved real operational problems.
Deep Clay experience: you've built multi‑step enrichment workflows and understand how to operationalize data pipelines a‑first mindset: you think in unit economics, CAC, conversion rates, velocity, and attribution before you think in features or tools.
Competitive compensation in the range of $110,000 - $120,000 CAD.
Equity opportunities and comprehensive benefits.
Flexible hybrid work environment in Toronto, fostering both deep focus and collaborative efforts.
Culture that values intellectual curiosity, edge‑finding, and results‑driven work.
Why Occupier:
As the first GTM Engineer, you will have greenfield ownership of the entire revenue supply chain. You will collaborate with a Chief Revenue Officer who is a strategic partner in designing the architecture. Your work will ship fast and have immediate impact in a growth‑stage company with startup velocity. Join us to create a blueprint for modern go‑to‑market and be part of a culture that emphasizes results over politics.
Health Insurance
Vision Insurance
Paid Time Off (PTO)
Remote Work
Flexible Schedule
Paid Holidays
Preferred Skills Rev Ops
Hub Spot skills: you've built complex workflows, designed data models, implemented lifecycle logic, and solved real operational problems
Deep Clay experience: you've built multi‑step enrichment workflows, AI research agents, and understand how to operationalize data pipelines at scale
#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×