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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 delivering AI agents and workflows that enhance customer success and drive revenue through effective data management and automation. Proficient in utilizing low-code orchestration tools and programming languages for API integrations and data transformation.
Highest-signal resume keywords
AI Agent DevelopmentLow-Code OrchestrationPython ProgrammingCRM ProficiencySubscription Business Metrics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Agent DevelopmentLow-Code OrchestrationPython ProgrammingTypeScript ProgrammingSQL QueryingData ModelingAgentic ToolsLLM Workflow DesignAutomation DesignData Transformation
Soft Skills
Collaboration with SalesCommunication SkillsProblem-Solving
Tools & Technologies
N8nMakeZapierHubSpotCRM SystemsMCP Connectors
Industry Keywords
RevOpsGTM EngineeringCustomer Success OperationsB2B SaaSProduct-Led GrowthDemo-Led EnvironmentOutbound Go-To-MarketSignal-Based ApproachesRenewal RateCustomer Lifetime Value
Tech Stack
Tools & technologiesFluxPythonSQLTypeScript
About the role
Key responsibilities & impact- Design, build, and deliver AI agents and agentic workflows that turn usage, support, and renewal signals into saved renewals and cross-sell pipeline
- Build AI agents that monitor renewal health and flag at-risk accounts early to account managers, with context and recommended next steps
- Design and operate an agentic cross-sell motion: assess product fit, research accounts, personalize messaging, qualify interest, and route buying intent to Sales
- Own the data flow between product usage systems and the CRM
- Ensure data quality, sender reputation, and attribution accuracy
- Replace manual processes with AI agents and reusable, autonomous pipeline modules
- Report on generated pipeline, conversion, renewal outcomes, and revenue impact
- Run controlled experiments without adding headcount
- Turn deliverables into standard operating procedures, demos, and playbooks to drive team adoption
Requirements
What you’ll need- Background in RevOps, GTM or marketing operations, customer success operations, or GTM engineering, with hands-on experience designing automations
- Hands-on experience with low-code orchestration (n8n, Make, Zapier, or equivalent)
- Proficiency in Python or TypeScript for API integrations and data transformation
- Comfortable with agentic tools and MCP connectors
- Strong experience designing LLM workflows (agent orchestration, tool use, and evaluation)
- Demonstrated experience delivering AI agents or LLM workflows to real users, not just prototypes
- Working knowledge of SQL for querying and validating usage, support, and renewal data
- Strong proficiency with a CRM and data modeling (HubSpot is an asset)
- Clean integrations between product usage data and the CRM
- Understanding of subscription business metrics (renewal rate, net retention, customer lifetime value)
- Experience with, or a strong interest in, outbound and signal-based go-to-market approaches
- Ability to work directly with Sales and Account Management
- Asset: experience designing AI-driven qualification or scoring systems
- Asset: background in B2B SaaS with multiple product lines, ideally in a product-led or demo-led environment
- Asset: published technical content that makes complex systems accessible
Benefits
Comp & perks- LTIP, providing participation in Workleap’s long-term growth
- RRSP
- Family benefits plan
- Telemedicine
- Annual wellness budget
- Flexible vacation policy
- Remote work, with access to the Montreal offices
- In-person gatherings twice a year
- Claude available to everyone
