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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in end-to-end brand launches, including architecting AI advisor setups and optimizing client engagement metrics. Proficient in managing multiple projects simultaneously while ensuring clear communication and collaboration with brand teams and engineers.
Highest-signal resume keywords
AI BuildingPrompt EngineeringAPI IntegrationSQL ProficiencyProject Management
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 BuildingPrompt EngineeringSQLData ModelsCustom IntegrationsWorkflow AutomationPerformance OptimizationTesting and IterationKnowledge Base SetupClient Engagement Monitoring
Soft Skills
Clear CommunicationSolutions-Oriented MindsetComfort with AmbiguityCollaborationExpectation Setting
Tools & Technologies
ZapierMakeExcelRemarkAgent Tooling
Industry Keywords
Brand LaunchClient EngagementConversion MetricsRevenue OptimizationProject Management
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Own brand launches end to end as the primary contact from contract to go-live
- Run launch plans, milestones, and dependencies on both sides
- Architect each brand's Remark setup, including knowledge base, intents, integrations, automations, and advisor behavior
- Build and tune prompts, knowledge, and logic for brand-specific AI advisors
- Test advisor responses and iterate until performance goals are met
- Engineer custom integrations, data transforms, and workflows when platform defaults do not fit
- Monitor client engagement, conversion, and revenue from launch and optimize toward those metrics
- Train brand teams, set expectations, and document builds for Merchant Success
- Share launch insights with Engineering and Product to shape the platform
Requirements
What you’ll need- Hands-on AI building; experience writing and iterating on prompts for precise, reliable LLM behavior
- Experience with evals, RAG, or agent tooling is a strong plus
- Technical, solutions-oriented mind
- Comfort with APIs, data models, SQL, and Excel
- Comfort with workflow tools such as Zapier, Make, or similar, or aptitude to learn them quickly
- 3+ years running several demanding projects in parallel and getting each one over the line
- Clear communication with brand teams and engineers
- Comfort with ambiguity and evolving processes
- Able to work from the Boston, MA or Denver, CO office at least 3 days a week
- Must be a U.S. resident
- Workday must overlap by at least 8 hours with Denver, CO, USA
Benefits
Comp & perks- Hybrid work with the flexibility to WFH 2 days a week
- Full healthcare benefits (medical, dental, vision)
- Flexible PTO (we recommend at least 15 days a year)
- At least one company retreat a year
- $500 annual reimbursement for fitness and outdoor recreation
