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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in full stack engineering, particularly with React, Next.js, and Node.js, while effectively leading product feature development and architectural decisions. Proficient in building and deploying AI-powered solutions and managing multi-tenant systems with a strong focus on customer engagement and feedback.
Highest-signal resume keywords
Full Stack Engineering ExperienceDeep Expertise In React And Next.jsAdvanced PostgreSQL SkillsProduction Experience With RBAC SystemsHands-On Experience With BullMQ
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Node.jsNext.jsReactPostgreSQLBullMQAI Coding AgentsLLM-Powered FeaturesAuthentication SystemsAuthorization SystemsSchema Design
Soft Skills
Product JudgmentCustomer EngagementMentoringTradeoff Decision-Making
Tools & Technologies
BullMQClaude CodeCursorCodexMCPAPI IntegrationCI/CDObservability
Industry Keywords
Multi-Tenant B2BData ModelsAPI SurfacesQueue/Job SystemsStructured Data Extraction
Tech Stack
Tools & technologiesERPJavaScriptNext.jsNode.jsPostgresRabbitMQReact
About the role
Key responsibilities & impact- Own product features end-to-end, from problem discovery and scoping through design, development, launch, and iteration
- Talk directly with customers through discovery calls, support tickets, and ride-alongs with sales representatives
- Make architectural decisions for data models, API surfaces, and frontend composition, and document the reasoning
- Build across the Node.js stack using Next.js, Node services, BullMQ, and PostgreSQL
- Use AI coding agents to plan, implement, refactor, test, and review code while remaining accountable for shipped code
- Design and ship LLM-powered features for structured data extraction, sales-representative workflow automation, and ERP and sales-data insights
- Design and operate authentication, authorization, and multi-tenant RBAC systems
- Build queue-driven automation with BullMQ for long-running processes, retries, LLM calls, and external ERP and third-party API integrations
- Establish standards for testing, code review, CI/CD, observability, and AI-assisted development
- Build reusable AI context, agent instructions, skills, and MCP integrations
- Mentor engineers and lead design reviews
- Partner with founders and lead engineers on architectural direction and engineering standards
Requirements
What you’ll need- 8–10 years of full stack engineering experience, including owning production systems at meaningful scale
- Deep expertise in React and Next.js
- Strong backend experience with Node.js
- Advanced PostgreSQL skills, including schema design, query optimization, migrations under load, and multi-tenant patterns
- Production experience with authentication and authorization/RBAC systems in multi-tenant B2B contexts
- Hands-on experience with BullMQ or comparable queue/job systems such as Sidekiq, RabbitMQ, SQS, or Temporal
- Hands-on experience building and running AI agents with verifiable correctness, guardrails, eval harnesses, golden datasets, self-verification loops, and human-review checkpoints
- Daily use of AI coding agents such as Claude Code, Cursor, Codex, or similar
- Experience shipping LLM-powered features to production, including prompt design, structured outputs, tool use, and failure-mode handling
- Familiarity with agent frameworks, MCP, and model APIs from Anthropic, OpenAI, or others
- Ability to define and measure AI feature quality through evals
- Ability to scope fuzzy customer problems into shippable plans
- Strong product judgment and ability to make tradeoff decisions
- Willingness to talk to users and incorporate customer feedback
Benefits
Comp & perks- Equity
- Comprehensive health benefits
- Highly competitive salary
- Fast iteration and direct collaboration with founders
- Unfiltered customer feedback
