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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in technical support and engineering within a B2B SaaS environment, with a strong focus on Python, SQL, and AI-driven operational processes. Proven ability to manage knowledge systems and effectively communicate technical complexities to enterprise customers.
Highest-signal resume keywords
Python ProficiencySQL ProficiencyKnowledge Management SystemsData Pipelines ExperienceAgentic AI Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Technical SupportEngineering ExperienceData Pipeline OrchestrationAI-Driven WorkflowsVibe CodingProblem ResolutionSLA ManagementR&D Handoff StandardsKnowledge Base MaintenanceEscalation Management
Soft Skills
Clear CommunicationCollaborationConfidence in Customer Meetings
Tools & Technologies
DagsterAirflow
Certifications & Qualifications
B.Sc. in Computer ScienceB.Sc. in Engineering
Industry Keywords
B2B SaaSTechnical EscalationOperational ProcessesFeedback LoopsRoot Cause Analysis
Tech Stack
Tools & technologiesAirflowPythonSQL
About the role
Key responsibilities & impact- Resolve complex issues end-to-end within SLA.
- Serve as the technical escalation point for frontline support.
- Investigate high-complexity issues and drive them to resolution.
- Own and maintain the team's knowledge base and runbook ecosystem.
- Set and enforce R&D handoff quality standards.
- Develop deep expertise across Fetcherr's product domains and distribute ownership across the team.
- Represent support in enterprise customer meetings and communicate root causes, timelines, and remediation.
- Collaborate with the Escalation Leader and R&D to close feedback loops, reduce recurring issues, and provide product insights.
- Build agents and optimize operational processes using agentic AI and vibe coding.
Requirements
What you’ll need- B.Sc. or higher in Computer Science, Engineering, or a related field.
- 5+ years of hands-on technical support or engineering experience in a B2B SaaS environment.
- Strong technical depth; proficiency in Python and SQL is a must.
- Meaningful experience working with data pipelines and orchestration tools; Dagster or Airflow strongly preferred.
- Proven experience owning and improving knowledge management systems.
- Track record of reducing escalation noise and enforcing criteria for R&D handoffs.
- Confidence in enterprise customer meetings and translating technical complexity into clear communication.
- Hands-on experience building agents and optimizing operational processes using agentic AI and vibe coding.
- Experience designing and deploying AI-driven workflows that reduced manual overhead and accelerated resolution cycles.