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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building semantic layers on CRM data, particularly with Salesforce and HubSpot, while leveraging strong programming skills in TypeScript, Java, or Python. Capable of making technical decisions and owning features from conception to production in a collaborative environment.
Highest-signal resume keywords
5+ Years Software Engineering ExperienceTypeScript, Java, Or Python ProficiencySQL And Relational DatabasesDocker And CI/CDFluent English
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
TypeScriptJavaPythonSQLAPIsDistributed Systems BasicsDockerCI/CDTechnical Decision MakingProject Ownership
Soft Skills
Problem-SolvingCollaborationCommunicationIndependenceAdaptability
Tools & Technologies
SalesforceHubSpotAI ToolsProprietary Algorithms
Industry Keywords
CRM DataRevenue TeamsTechnical InterviewsProduction Environment
Tech Stack
Tools & technologiesDistributed SystemsDockerJavaPythonSQLTypeScript
About the role
Key responsibilities & impact- Build a semantic layer on clients' CRM data, including Salesforce and HubSpot, so AI understands their business and answers real questions
- Build N.Rich's AI harness for revenue teams, enabling marketers and salespeople to perform tasks previously requiring engineers
- Identify the people behind website visits using proprietary algorithms and existing data
- Make technical decisions and own features from goal through production
- Collaborate closely with product and revenue teams
- Report to the CTO
- Participate in live technical interviews and domain-specific technical discussions during the hiring process
Requirements
What you’ll need- 5+ years as a software engineer
- Strong experience in one popular language: TypeScript, Java or Python
- SQL and relational databases
- APIs
- Distributed systems basics
- Docker and CI/CD
- Fluent English
- Shipped projects running in production with real users and real problems, owned from goal to production
- Work daily through a personal AI setup with agents connected to tools and models reviewing their work
- Ability to make technical decisions that remain valid over time, including deciding not to build something
- Ability to spot problems early and bring fixes
- Willingness to talk with product, revenue teams and clients
- Ability to work independently in a rapidly changing environment
Benefits
Comp & perks- Employer pays for tools needed to do the work, including AI models from more than one provider
- Fully remote work
- No take-home tasks in the hiring process
