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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data visualization and front-end development, with strong proficiency in TypeScript or JavaScript. Capable of setting technical direction and mentoring teams while utilizing AI coding tools to enhance productivity.
Highest-signal resume keywords
Data Visualization ExpertiseTypeScript ProficiencyAI Coding Tools ExperienceData Pipeline DevelopmentBusiness Intelligence Tools Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data VisualizationTypeScriptJavaScriptSQLLookerTableauModeAmplitudeGoogle AnalyticsData Pipeline Development
Soft Skills
MentoringTechnical GuidanceInfluencing Without Authority
Tools & Technologies
Claude CodeCursorSnowflakeBigQueryRedshift
Industry Keywords
Data ProductsStartup ExperienceData Viz Research
Tech Stack
Tools & technologiesAmazon RedshiftBigQueryJavaScriptSQLTableauTypeScript
About the role
Key responsibilities & impact- Set the technical direction and North Star for Omni's data visualization capabilities
- Partner with the Product Manager and engineering team to translate visualization strategy into shipped features
- Apply industry best practices to improve visualization quality and performance
- Design and build front-end visualization components and the underlying data pipelines
- Mentor and technically guide engineers on the visualization work stream
- Move quickly and ship iteratively based on customer feedback
- Use AI coding tools such as Claude Code to maximize velocity and focus on high-leverage technical work
Requirements
What you’ll need- 5+ years of software engineering experience, including 2+ years operating at a senior level
- Deep, demonstrable experience in data visualization, ideally with industry recognition or a strong portfolio of shipped visualization work
- Strong proficiency in TypeScript or JavaScript
- Experience with data or business intelligence tools or applications (e.g., SQL, Looker, Tableau, Mode, Amplitude, Google Analytics)
- Demonstrated ability to set technical vision and influence a team without requiring formal authority
- Proficiency with AI coding tools and workflows (e.g., Claude Code, Cursor)
- Startup experience (nice to have)
- Experience building data products (nice to have)
- Familiarity with Snowflake, BigQuery, or Redshift (nice to have)
- Background in data viz research or academic work (nice to have)
- Final-round interviews are conducted in person
- Candidates must answer questions about production technology experience, AI use, visa sponsorship, and current legal working status in the US
Benefits
Comp & perks- Equity
- Health, dental, and vision insurance
- 401(k) Plan (for US-based roles)
- Unlimited PTO
- Supportive team environment
- Reasonable accommodations during the interview process
