JobForge MVP - Team Management Guide
Version: 1.0.0
Project: JobForge MVP Development
Timeline: 8 Weeks (July - August 2025)
Team Structure: 6 Specialized Roles
Last Updated: July 2025
📋 Table of Contents
- Team Structure & Hierarchy
- Role Definitions
- Communication Protocols
- Development Process
- Quality Standards
- Meeting Framework
- Documentation Standards
- Escalation Procedures
- Performance Metrics
- Standard Templates
🏗️ Team Structure & Hierarchy
Organizational Chart
Reporting Structure
| Level |
Role |
Reports To |
Direct Reports |
| L1 |
Project Manager |
Stakeholders/CEO |
All team leads |
| L2 |
Architect & Orchestrator |
Project Manager |
Technical guidance to all teams |
| L2 |
Backend Team Lead |
Project Manager |
Backend developers |
| L2 |
Frontend Team Lead |
Project Manager |
Frontend developers |
| L2 |
AI Engineering Team Lead |
Project Manager |
AI engineers |
| L2 |
DevOps & Integration Team Lead |
Project Manager |
DevOps engineers |
Authority Matrix
| Decision Type |
Project Manager |
Architect |
Team Leads |
Team Members |
| Project Scope |
Decide |
Consult |
Inform |
Inform |
| Technical Architecture |
Consult |
Decide |
Consult |
Inform |
| Implementation Details |
Inform |
Consult |
Decide |
Responsible |
| Resource Allocation |
Decide |
Consult |
Consult |
Inform |
| Quality Standards |
Consult |
Decide |
Responsible |
Responsible |
| Release Decisions |
Decide |
Consult |
Inform |
Inform |
👥 Role Definitions
1. Project Manager
Core Responsibilities
- Project Planning: Define sprint goals, manage timeline, allocate resources
- Risk Management: Identify, assess, and mitigate project risks
- Stakeholder Communication: Regular status updates and expectation management
- Team Coordination: Facilitate cross-team collaboration and resolve blockers
- Progress Tracking: Monitor deliverables, milestones, and budget
Key Deliverables
- Weekly project status reports
- Sprint planning and retrospective facilitation
- Risk register and mitigation plans
- Resource allocation and capacity planning
- Stakeholder communication and updates
Required Skills
- Agile/Scrum methodology expertise
- Technical project management experience
- Excellent communication and leadership skills
- Risk assessment and mitigation
- Budget and resource management
Daily Activities
- Morning: Review overnight progress, check for blockers
- Mid-day: Attend standups, facilitate cross-team communication
- Evening: Update project tracking, prepare status reports
Success Metrics
- On-time delivery of sprint goals (100% target)
- Team velocity consistency (±15% variance)
- Stakeholder satisfaction scores (>8/10)
- Risk mitigation effectiveness (>90% issues resolved)
2. Architect & Orchestrator
Core Responsibilities
- System Architecture: Define and maintain overall system design
- Technical Standards: Establish coding standards, patterns, and best practices
- Architecture Reviews: Conduct regular technical reviews and approvals
- Cross-Team Alignment: Ensure technical consistency across all teams
- Technology Decisions: Evaluate and approve technology choices
Key Deliverables
- System architecture documentation and diagrams
- Technical standards and coding guidelines
- Architecture review reports and approvals
- Technology evaluation and recommendation reports
- Technical debt assessment and remediation plans
Required Skills
- Full-stack architecture experience
- Deep knowledge of Python, PostgreSQL, Docker
- API design and microservices architecture
- Code review and quality assessment
- Technical leadership and mentoring
Daily Activities
- Morning: Review pull requests and architecture compliance
- Mid-day: Conduct architecture reviews and technical discussions
- Evening: Update architecture documentation and standards
Review Schedule
- Daily: Code review and PR approvals
- Weekly: Architecture compliance review
- Bi-weekly: Technical debt assessment
- Sprint End: Architecture retrospective and improvements
Success Metrics
- Architecture compliance score (>95%)
- Technical debt ratio (<10%)
- Code review turnaround time (<4 hours)
- Cross-team technical consistency (>90%)
3. Backend Team
Core Responsibilities
- API Development: Build FastAPI endpoints per specification
- Database Design: Implement PostgreSQL schema with RLS policies
- Business Logic: Develop core application services and workflows
- Integration: Integrate with AI services and external APIs
- Testing: Write comprehensive unit and integration tests
Key Deliverables
- REST API endpoints with full documentation
- Database schema with migrations and seed data
- Business logic services and domain models
- API integration with AI services
- Comprehensive test suites (>80% coverage)
Required Skills
- Advanced Python (FastAPI, SQLAlchemy, AsyncIO)
- PostgreSQL database design and optimization
- REST API design and development
- Testing frameworks (pytest, mocking)
- Docker and containerization
Team Structure
- Backend Team Lead: Technical leadership, architecture compliance
- Senior Backend Developer: Complex features, AI integration
- Backend Developer: CRUD operations, testing, documentation
Daily Activities
- Morning: Review API requirements and database design
- Mid-day: Implement endpoints and business logic
- Evening: Write tests and update documentation
Handoff Requirements
- To Frontend: Complete API documentation with examples
- To AI Team: Integration endpoints and data models
- To DevOps: Docker configuration and deployment requirements
Success Metrics
- API endpoint completion rate (100% per sprint)
- Test coverage percentage (>80%)
- API response time (<500ms for CRUD operations)
- Bug density (<2 bugs per 1000 lines of code)
4. Frontend Team
Core Responsibilities
- UI Development: Build Dash + Mantine user interface components
- User Experience: Create intuitive and responsive user interactions
- API Integration: Implement frontend API client and data management
- Visual Design: Ensure professional and modern visual design
- Testing: Develop frontend testing strategies and implementation
Key Deliverables
- Complete user interface with all MVP features
- Responsive design for desktop and mobile
- API client library with error handling
- Component library and design system
- User experience testing and optimization
Required Skills
- Advanced Python (Dash, Plotly, component libraries)
- Modern web technologies (HTML5, CSS3, JavaScript)
- UI/UX design principles and responsive design
- API integration and state management
- Frontend testing and debugging
Team Structure
- Frontend Team Lead: UI architecture, UX decisions
- Senior Frontend Developer: Complex components, API integration
- Frontend Developer: Component development, styling, testing
Daily Activities
- Morning: Review UI requirements and design specifications
- Mid-day: Develop components and integrate with backend APIs
- Evening: Test user interactions and update documentation
Handoff Requirements
- From Backend: API documentation and endpoint availability
- To DevOps: Frontend build configuration and deployment needs
- To PM: User acceptance testing and demo preparation
Success Metrics
- Feature completion rate (100% per sprint)
- UI responsiveness score (>95% across devices)
- User experience satisfaction (>8/10 in testing)
- Frontend error rate (<1% of user interactions)
5. AI Engineering Team
Core Responsibilities
- Prompt Engineering: Develop and optimize Claude Sonnet 4 prompts
- AI Integration: Build AI agents for research, resume, and cover letter generation
- Vector Operations: Implement OpenAI embeddings and similarity search
- Performance Optimization: Optimize AI response times and accuracy
- Quality Assurance: Test AI outputs for consistency and relevance
Key Deliverables
- Research Agent with job analysis capabilities
- Resume Optimizer with multi-resume synthesis
- Cover Letter Generator with voice preservation
- Vector database integration for semantic search
- AI performance monitoring and optimization tools
Required Skills
- Advanced prompt engineering and LLM optimization
- Python AI/ML libraries (OpenAI, Anthropic APIs)
- Vector databases and semantic search
- Natural language processing and analysis
- AI testing and quality assurance methods
Team Structure
- AI Team Lead: AI strategy, prompt architecture
- Senior AI Engineer: Complex AI workflows, vector integration
- AI Engineer: Prompt development, testing, optimization
Daily Activities
- Morning: Review AI requirements and prompt specifications
- Mid-day: Develop and test AI agents and prompts
- Evening: Optimize performance and document AI behaviors
Handoff Requirements
- To Backend: AI service integration requirements and APIs
- From Architect: AI workflow specifications and quality criteria
- To PM: AI performance metrics and capability demonstrations
Success Metrics
- AI response accuracy (>90% relevance score)
- Processing time (<30 seconds per AI operation)
- Prompt effectiveness (>85% user satisfaction)
- AI service uptime (>99.5% availability)
6. DevOps & Integration Team
Core Responsibilities
- Infrastructure Management: Docker Compose orchestration and optimization
- CI/CD Pipeline: Gitea workflows, automated testing, and deployment
- Integration Testing: End-to-end system integration and testing
- Quality Assurance: Enforce quality standards and code review processes
- Documentation Management: Maintain project documentation and knowledge base
Key Deliverables
- Complete Docker development environment
- Automated CI/CD pipelines with quality gates
- Integration testing suite and monitoring
- Quality standards documentation and enforcement
- Production deployment configuration and monitoring
Required Skills
- Docker and container orchestration
- CI/CD pipeline design and implementation
- Automated testing and quality assurance
- System integration and monitoring
- Technical documentation and knowledge management
Team Structure
- DevOps & Integration Lead: Infrastructure architecture, quality standards
- Senior DevOps Engineer: CI/CD pipelines, production deployment
- Integration Engineer: System integration, testing, documentation
Daily Activities
- Morning: Review system health, CI/CD pipeline status
- Mid-day: Support integration needs, resolve deployment issues
- Evening: Update documentation, monitor quality metrics
Handoff Requirements
- From All Teams: Code, configuration, and deployment requirements
- To PM: System status, quality metrics, deployment readiness
- To Architect: Infrastructure compliance and optimization recommendations
Success Metrics
- CI/CD pipeline success rate (>95%)
- Integration test pass rate (>98%)
- System uptime (>99.9% during development)
- Documentation completeness (>90% coverage)
📞 Communication Protocols
Communication Matrix
| Communication Type |
Frequency |
Participants |
Duration |
Format |
| Daily Standup |
Daily |
All team leads + PM |
15 min |
Synchronous |
| Team Standup |
Daily |
Team members + Team lead |
10 min |
Synchronous |
| Architecture Review |
Weekly |
Architect + All leads |
30 min |
Synchronous |
| Sprint Planning |
Weekly |
All team leads + PM |
60 min |
Synchronous |
| Sprint Retrospective |
Weekly |
All team leads + PM |
45 min |
Synchronous |
| Technical Sync |
As needed |
Relevant teams |
30 min |
Synchronous |
| Status Updates |
Weekly |
PM + Stakeholders |
30 min |
Synchronous/Async |
Communication Guidelines
Daily Standup Format
Each team lead reports:
- Yesterday: What was completed
- Today: What will be worked on
- Blockers: Any impediments or dependencies
- Risks: Emerging risks or concerns
Cross-Team Communication Rules
- Backend ↔ Frontend: API changes require 24-hour notice
- AI ↔ Backend: Integration requirements must be documented
- DevOps ↔ All Teams: Infrastructure changes require approval
- Architect ↔ All Teams: Technical decisions require consultation
Escalation Matrix
| Issue Level |
Response Time |
Escalation Path |
| Low |
24 hours |
Team Lead → PM |
| Medium |
4 hours |
Team Lead → PM → Architect |
| High |
1 hour |
Team Lead → PM + Architect |
| Critical |
30 minutes |
All leads + PM + Architect |
🔄 Development Process
Sprint Structure (1-Week Sprints)
Monday: Sprint Planning
- 9:00 AM: Sprint planning meeting (60 min)
- 10:30 AM: Team breakouts for task estimation
- 11:30 AM: Cross-team dependency identification
- 12:00 PM: Sprint commitment and kick-off
Tuesday-Thursday: Development
- 9:00 AM: Daily standup (15 min)
- Development work according to team schedules
- 4:00 PM: Daily progress check-in
- As needed: Technical sync meetings
Friday: Review & Retrospective
- 9:00 AM: Sprint demo preparation
- 10:00 AM: Sprint review and demo (60 min)
- 11:30 AM: Sprint retrospective (45 min)
- 1:00 PM: Next sprint preparation
- 3:00 PM: Week wrap-up and documentation
Definition of Done
Backend Features
Frontend Features
AI Features
DevOps Features
🎯 Quality Standards
Code Quality Requirements
General Standards
- Type Hints: Required for all public functions and methods
- Documentation: Docstrings for all classes and public methods
- Testing: Minimum 80% code coverage for backend, 70% for frontend
- Code Review: All changes require approval from team lead + architect
- Security: No hardcoded secrets, proper input validation
Backend Standards
Frontend Standards
- Component Documentation: Clear docstrings for all components
- Props Validation: Type hints and validation for all component props
- Error Boundaries: Proper error handling for API failures
- Accessibility: WCAG 2.1 AA compliance for all UI components
- Performance: Components should render in <100ms
AI Standards
- Prompt Documentation: Clear documentation of prompt purpose and expected outputs
- Error Handling: Graceful degradation when AI services are unavailable
- Performance Monitoring: Response time and accuracy tracking
- Quality Assurance: Systematic testing of AI outputs for consistency
Quality Gates
Pre-Commit Checks
Pull Request Checks
Sprint Completion Checks
📅 Meeting Framework
Meeting Templates
Daily Standup Template
Sprint Planning Template
Architecture Review Template
📋 Documentation Standards
Required Documentation
API Documentation
- OpenAPI Specification: Complete API documentation with examples
- Integration Guide: How to integrate with each API endpoint
- Error Handling: Comprehensive error codes and responses
- Authentication: Security requirements and implementation
Code Documentation
- README Files: Clear setup and usage instructions
- Inline Comments: Complex logic explanation and business rules
- Architecture Decisions: ADR (Architecture Decision Records)
- Deployment Guide: Step-by-step deployment instructions
Process Documentation
- Team Onboarding: New team member setup guide
- Development Workflow: Git branching and development process
- Quality Standards: Code quality and review requirements
- Troubleshooting: Common issues and resolution steps
Documentation Review Process
Weekly Documentation Review
- Owner: DevOps & Integration Team Lead
- Participants: All team leads
- Duration: 30 minutes
- Agenda: Review documentation completeness and accuracy
Documentation Standards
- Format: Markdown files in
/docs directory
- Structure: Consistent headings, table of contents, examples
- Updates: Documentation updated with each feature delivery
- Review: All documentation changes require peer review
🚨 Escalation Procedures
Issue Classification
Priority Levels
| Priority |
Response Time |
Definition |
Examples |
| P0 - Critical |
30 minutes |
System down, security breach |
Database crash, API completely down |
| P1 - High |
2 hours |
Major feature broken, blocking |
Authentication broken, AI services down |
| P2 - Medium |
8 hours |
Minor feature issues, performance |
Slow API responses, UI bugs |
| P3 - Low |
24 hours |
Enhancement requests, documentation |
Feature improvements, doc updates |
Escalation Flow
Technical Issues
Resource/Timeline Issues
Quality/Standards Issues
Cross-Team Conflicts
Crisis Management
Critical Issue Response
-
Immediate (0-15 min):
- Issue reporter creates critical incident ticket
- Notify Project Manager and Architect immediately
- Form incident response team
-
Short-term (15-60 min):
- Assess impact and root cause
- Implement temporary workaround if possible
- Communicate status to stakeholders
-
Resolution (1+ hours):
- Develop and implement permanent fix
- Test fix thoroughly in staging environment
- Deploy fix and monitor system health
- Conduct post-incident review
📊 Performance Metrics
Team Performance Metrics
Delivery Metrics
| Metric |
Target |
Measurement |
Frequency |
| Sprint Goal Achievement |
100% |
Goals completed vs planned |
Weekly |
| Story Point Velocity |
±15% variance |
Points delivered per sprint |
Weekly |
| Feature Delivery |
On schedule |
Features completed on time |
Weekly |
| Defect Rate |
<5% |
Bugs found post-delivery |
Weekly |
Quality Metrics
| Metric |
Target |
Measurement |
Frequency |
| Code Coverage |
>80% |
Automated test coverage |
Daily |
| Code Review Time |
<4 hours |
Time from PR to approval |
Daily |
| Build Success Rate |
>95% |
CI/CD pipeline success |
Daily |
| Documentation Coverage |
>90% |
Features documented |
Weekly |
Team Health Metrics
| Metric |
Target |
Measurement |
Frequency |
| Team Satisfaction |
>8/10 |
Weekly team survey |
Weekly |
| Collaboration Score |
>8/10 |
Cross-team effectiveness |
Weekly |
| Knowledge Sharing |
>3 sessions/week |
Tech talks, reviews |
Weekly |
| Blockers Resolution |
<24 hours |
Time to resolve blockers |
Daily |
Individual Performance Metrics
Backend Team
- API endpoint delivery rate (100% per sprint)
- Code quality score (>90%)
- Test coverage percentage (>80%)
- Code review participation rate (100%)
Frontend Team
- UI component completion rate (100% per sprint)
- User experience satisfaction (>8/10)
- Browser compatibility score (>95%)
- Design system compliance (>90%)
AI Team
- AI model accuracy (>90%)
- Prompt optimization rate (>85% user satisfaction)
- Processing time improvements (weekly optimization)
- AI service uptime (>99.5%)
DevOps Team
- Infrastructure uptime (>99.9%)
- CI/CD pipeline reliability (>95% success rate)
- Documentation completeness (>90%)
- Security compliance score (100%)
📝 Standard Templates
Handoff Document Template
Status Report Template
🎯 Implementation Checklist
Week 1: Team Formation
Week 2: Process Implementation
Week 3: Team Optimization
Ongoing: Continuous Improvement
This team management guide provides the foundation for successful JobForge MVP development with clear roles, processes, and standards for professional team coordination and delivery.