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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 engineering with a strong focus on root-cause analysis, complex cross-functional initiative ownership, and data-driven decision-making. Proficient in building tooling and automations using SQL and Python, while effectively mentoring and communicating within cross-functional teams.
Highest-signal resume keywords
Advanced SQLPython ScriptingData Mapping DefectsAI Tool ProficiencyCross-Functional Initiative Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData MappingRoot-Cause AnalysisData-Driven MetricsIntegration FailuresForecast AnomaliesLightweight AutomationsTechnical Support EngineeringSolutions Engineering
Soft Skills
Clear Written CommunicationSelf-DirectionComfort with AmbiguityMentoringCalm Under Pressure
Tools & Technologies
DatabricksLookerClaudeStyloCowork
Industry Keywords
Technical SupportData EngineeringCross-Functional ChangeOKRsPlaybooks
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own the most complex escalations end to end, including data mapping defects, recommendation and forecast anomalies, and integration or data-feed failures
- Identify and lead large initiatives against department-level OKRs
- Define and report impact metrics, including baselines and measured outcomes
- Build tooling with SQL, Python, Databricks, Looker, Stylo, Claude, Cowork, and lightweight automations
- Drive cross-functional change with Solutions Engineering, Data Engineering, Product Engineering, and Operations
- Mentor Tier 1 and Tier 2 engineers, lead training, and write playbooks and source-of-truth documentation
- Present in Tech Demos, post data-driven updates, join account reviews, and represent Support in cross-functional forums
- Master partner-specific behavior across retailers and banners and serve as an escalation point for Product, Engineering, or customers
Requirements
What you’ll need- 5+ years in technical support engineering, solutions engineering, data engineering, or a comparable role where you personally owned root-cause analysis on production data
- Advanced SQL
- Demonstrated ability to own complex cross-functional initiatives end to end
- Ability to define success numerically and speak to results rather than activity
- Proficiency building with AI tools such as Claude or other agentic platforms
- Scripting ability in Python or similar
- Clear, calm written communication
- Comfort with ambiguity and a bias toward shipping an imperfect, iterative solution
- Self-direction
- Full-time U.S. employees are eligible for the listed benefits
Benefits
Comp & perks- Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh
- Dedicated mental health support and counseling services
- Meaningful equity (U.S. employees)
- 401(k) program with a generous company match
- Home office stipend
- "Coworking Wallets" for flexible workspace access
- Annual professional development budget
- Monthly "Betterment" wellness/lifestyle stipend
- Monthly telecommunications stipend
- Flexible paid time off
