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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI-powered solutions for go-to-market tools, with strong technical skills in Python, SQL, and API integrations. Proven ability to partner with Revenue Operations to enhance business workflows and drive revenue through automation and data enrichment.
Highest-signal resume keywords
Python ProgrammingAPI IntegrationsAI Application in Business WorkflowsRevenue Operations StrategyData Analytics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLData EnrichmentAutomationAI IntegrationLead ScoringSales IntelligenceInternal APIsSaaS PlatformsRevenue Workflows
Soft Skills
CommunicationDocumentationCollaboration
Tools & Technologies
OpenAIZapierTraySalesforceHubSpotTableauLookerGCPAWSGit
Industry Keywords
Go-To-MarketRevenue OperationsCustomer SuccessSalesMarketing
Tech Stack
Tools & technologiesApolloAWSGoogle Cloud PlatformPythonSQLTableau
About the role
Key responsibilities & impact- Design and implement AI-powered solutions across go-to-market tools and workflows
- Partner with Revenue Operations and go-to-market leaders to identify, evaluate, and prioritize high-impact AI use cases
- Build automations for data enrichment, lead scoring, summarization, routing, sales intelligence, and related revenue workflows
- Develop Python scripts, internal APIs, and integrations connecting and streamlining SaaS platforms
- Integrate and evaluate third-party AI and automation platforms such as OpenAI, LangChain, Zapier, and Tray
- Establish scalable, reliable, and well-governed AI workflows and infrastructure
- Document solutions and communicate technical recommendations clearly
- Stay current on emerging AI applications for go-to-market teams
- Report to the VP, Revenue Operations
Requirements
What you’ll need- Experience applying business strategy to go-to-market challenges in Revenue Operations, sales, consulting, or a related function
- Analytics experience in data, go-to-market, marketing, solutions engineering, or a similar field
- Strong technical experience with Python, SQL, API integrations, and automation across SaaS tools
- Experience applying AI to business workflows, governance, infrastructure, or operational processes
- Understanding of data enrichment, revenue automation, sales intelligence, and systems supporting sales, marketing, and Customer Success teams
- Experience with Clay, Apollo, ZoomInfo, Clearbit, 6sense, Demandbase, LeadIQ, Instantly, Smartlead, Zapier, Tableau, Looker, Qlik Sense, MicroStrategy, Domo, ThoughtSpot, Salesforce, HubSpot, Gong, or Outreach
- Experience deploying internal tools or applications using AWS, GCP, Retool, Streamlit, Slack bots, Git, vector databases, or similar technologies
- Legally authorized to work in the United States or Canada without sponsorship, relocation assistance, or visa transfer
- Successful completion of a background check
Benefits
Comp & perks- Health benefits
- Dental benefits
- 401(k) for USA-based roles
- RRSP for Canada-based roles
- Generous paid time off
- Equity grant / RSU program for most employees
- Incentive programs, where applicable
- Maternity and parental leave top-up programs
- Retirement matching program
- Free 1Password account
- Paid volunteer days
- Peer-to-peer recognition through Bonusly
- Remote-first work environment
- In-person onboarding in Toronto for all go-to-market roles
- Occasional travel to department offsites, quarterly department meetings, and customer events
