Prompt Engineering Manager Job Description Template - Complete 2025 Hiring Guide

Prompt Engineering Manager: In 30 Seconds

• Core Role: Lead teams designing, optimizing, and maintaining prompts for LLMs and AI systems
• Key Blend: Technical prompt engineering expertise + people management skills
• Team Size: Typically manages 5-15 prompt engineers and AI specialists
• Industry Demand: High growth in AI companies, tech giants, enterprises, consulting firms
• Salary Range: $175,000 - $270,000+ (varies by location and company size)
• Career Path: Senior Prompt Engineer → Manager → Director of AI Engineering
• Remote Availability: 75% of positions offer remote or hybrid options

Why This Role Matters in 2025

The explosion of generative AI has created an urgent need for leaders who can bridge the gap between cutting-edge AI capabilities and practical business applications. Prompt Engineering Managers are the architects of AI interaction, ensuring organizations extract maximum value from their AI investments.

As AI models become more sophisticated, the role has evolved from simple prompt optimization to strategic AI system design. These leaders now oversee critical functions including prompt library development, AI safety protocols, cross-functional integration, and performance optimization at scale.

With enterprises investing billions in AI transformation, Prompt Engineering Managers have become essential for successful AI adoption, directly impacting product quality, operational efficiency, and competitive advantage.

Quick Stats Dashboard

Metric	Data
Average Time to Hire	45-60 days
Demand Level	Very High (30% YoY growth)
Remote Availability	75% remote/hybrid
Career Growth	Director roles within 2-3 years
Market Growth	40% increase in positions (2024-2025)
Team Size	5-15 direct reports average
Budget Responsibility	$1M-5M annually

Core Prompt Engineering Manager Templates

Template 1: AI-First Technology Company

About the Role

We're seeking a visionary Prompt Engineering Manager to lead our prompt optimization team at [Company Name], where we're building the next generation of AI-powered products. You'll architect prompt strategies that power millions of daily AI interactions, manage a team of world-class prompt engineers, and directly influence our product roadmap.

What You'll Do

• Lead and scale a team of 8-12 prompt engineers, fostering innovation and technical excellence
• Develop and maintain our enterprise prompt library, serving 50+ internal teams and products
• Design prompt engineering standards, best practices, and governance frameworks
• Collaborate with product teams to integrate advanced prompting techniques into new features
• Optimize LLM performance across multiple models (GPT-4, Claude, Gemini, proprietary)
• Establish prompt testing protocols and automated evaluation pipelines
• Drive cross-functional initiatives with ML engineers, data scientists, and product managers
• Manage prompt versioning, A/B testing, and continuous improvement processes
• Lead research initiatives on emerging prompting techniques and model capabilities
• Build partnerships with AI vendors and contribute to open-source prompt engineering tools
• Define and track KPIs for prompt performance, cost optimization, and user satisfaction
• Mentor team members and create career development pathways

What We're Looking For

• 5+ years of experience in AI/ML engineering, with 2+ years in prompt engineering
• 2+ years of people management experience, preferably in technical teams
• Expert-level knowledge of prompt engineering techniques (few-shot, chain-of-thought, etc.)
• Hands-on experience with multiple LLMs and their optimization strategies
• Strong Python programming skills and familiarity with AI/ML frameworks
• Proven track record of building and scaling technical teams
• Excellent communication skills for technical and non-technical stakeholders
• Bachelor's degree in Computer Science, AI, or related field (Master's preferred)

Compensation & Benefits

• Base Salary: $200,000 - $270,000
• Equity: 0.1% - 0.3%
• Annual bonus: 20-30% of base
• Comprehensive health, dental, and vision coverage
• $5,000 annual professional development budget
• Flexible PTO and sabbatical options
• Top-tier equipment and AI tool subscriptions

Template 2: Enterprise AI Adoption Team

About the Role

[Company Name] is transforming how we leverage AI across our global organization. As our Prompt Engineering Manager, you'll lead the team responsible for democratizing AI access for 50,000+ employees while ensuring security, compliance, and optimal performance. This role is perfect for a leader who thrives at the intersection of innovation and enterprise scalability.

Your Key Responsibilities

• Build and lead a diverse team of 6-10 prompt engineers and AI specialists
• Develop enterprise-wide prompt engineering standards aligned with security and compliance requirements
• Create and maintain a centralized prompt repository with governance controls
• Partner with IT, Legal, and Security teams to ensure responsible AI deployment
• Design training programs to upskill employees in effective AI interaction
• Establish prompt monitoring systems for quality, bias detection, and cost management
• Lead vendor evaluations and manage relationships with AI platform providers
• Implement prompt lifecycle management from development to retirement
• Drive ROI analysis and present AI impact metrics to executive leadership
• Coordinate with business units to identify and prioritize AI use cases
• Ensure prompt strategies comply with data privacy regulations (GDPR, CCPA)
• Develop disaster recovery and failover strategies for AI systems

Required Qualifications

• 7+ years in software engineering or AI/ML, with 3+ years focused on NLP/LLMs
• 3+ years managing technical teams in enterprise environments
• Deep understanding of enterprise AI challenges (security, compliance, scale)
• Experience with prompt engineering across multiple business domains
• Strong project management skills with ability to handle multiple initiatives
• Knowledge of enterprise AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex)
• Excellent stakeholder management and executive communication skills
• Bachelor's degree required; Master's in CS, AI, or MBA preferred

What We Offer

• Base Salary: $175,000 - $220,000
• Annual bonus: 15-25% based on performance
• Comprehensive benefits package including 401(k) match
• Hybrid work arrangement (3 days office, 2 days remote)
• Leadership development programs and executive coaching
• Opportunity to shape AI strategy at a Fortune 500 company

Template 3: AI Consulting Practice Leader

About the Role

Join [Consulting Firm Name] as a Prompt Engineering Manager to lead our specialized AI implementation practice. You'll manage a team of consultant prompt engineers, drive client engagements, and build intellectual property that differentiates our AI consulting services. This role combines technical leadership, client management, and business development.

Core Responsibilities

• Lead a team of 10-15 consultant prompt engineers across multiple client projects
• Develop proprietary prompt engineering methodologies and frameworks
• Manage 3-5 concurrent client engagements, ensuring delivery excellence
• Design and deliver prompt engineering workshops and training for clients
• Build reusable prompt templates and accelerators for common use cases
• Contribute to business development through thought leadership and proposals
• Establish quality assurance processes for all prompt engineering deliverables
• Mentor consultants and develop career progression frameworks
• Create industry-specific prompt libraries (finance, healthcare, retail, etc.)
• Lead pre-sales activities and solution architecture for AI transformation projects
• Publish research and speak at conferences on prompt engineering trends
• Collaborate with alliance partners (Microsoft, Google, OpenAI) on joint solutions

Ideal Candidate Profile

• 8+ years in technology consulting or professional services
• 3+ years hands-on experience with LLMs and prompt engineering
• Proven track record managing client relationships and project delivery
• Experience across multiple industries and use cases
• Strong business acumen with ability to translate AI capabilities to business value
• Excellent presentation and workshop facilitation skills
• Comfortable with 30-40% travel for client engagements
• Bachelor's degree required; advanced degree strongly preferred

Compensation Package

• Base Salary: $190,000 - $250,000
• Performance bonus: 30-50% of base
• Profit sharing and partnership track potential
• Comprehensive benefits and generous PTO
• $10,000 annual training and certification budget
• Global travel opportunities and conference speaking
• Clear path to Director/Partner roles

Industry-Specific Variations

1. Healthcare & Life Sciences

Unique Requirements:

• Understanding of HIPAA compliance and medical data privacy
• Experience with clinical language models and medical terminology
• Knowledge of FDA regulations for AI in healthcare
• Ability to work with clinical teams and understand medical workflows

Key Responsibilities:

• Develop prompts for clinical decision support systems
• Ensure medical accuracy and safety in AI responses
• Create specialized prompts for drug discovery and research
• Implement bias detection for healthcare disparities

Salary Range: $185,000 - $240,000

2. Financial Services & Banking

Unique Requirements:

• Knowledge of financial regulations (SOX, Dodd-Frank, Basel III)
• Understanding of risk management and compliance frameworks
• Experience with financial modeling and quantitative analysis
• Security clearance may be required for certain institutions

Key Responsibilities:

• Design prompts for fraud detection and risk assessment
• Develop AI solutions for regulatory reporting
• Create customer service automation for banking
• Ensure prompt outputs meet audit requirements

Salary Range: $200,000 - $270,000

3. E-commerce & Retail

Unique Requirements:

• Experience with personalization and recommendation systems
• Understanding of customer journey and conversion optimization
• Knowledge of inventory management and supply chain
• Familiarity with A/B testing at scale

Key Responsibilities:

• Optimize prompts for product descriptions and SEO
• Develop conversational commerce experiences
• Create dynamic pricing and promotion strategies
• Implement customer service automation

Salary Range: $175,000 - $230,000

4. Education Technology

Unique Requirements:

• Understanding of pedagogical principles and learning theory
• Experience with adaptive learning systems
• Knowledge of accessibility standards (WCAG, Section 508)
• Familiarity with student data privacy laws (FERPA, COPPA)

Key Responsibilities:

• Design prompts for personalized tutoring systems
• Create assessment and feedback mechanisms
• Develop age-appropriate content filters
• Implement learning analytics and progress tracking

Salary Range: $160,000 - $210,000

5. Legal Technology

Unique Requirements:

• Understanding of legal terminology and procedures
• Knowledge of attorney-client privilege requirements
• Experience with document analysis and contract review
• Familiarity with legal research methodologies

Key Responsibilities:

• Develop prompts for legal document generation
• Create contract analysis and review systems
• Implement legal research assistants
• Ensure accuracy and citation compliance

Salary Range: $180,000 - $235,000

6. Manufacturing & Supply Chain

Unique Requirements:

• Knowledge of industrial IoT and sensor data
• Understanding of supply chain optimization
• Experience with predictive maintenance
• Familiarity with quality control processes

Key Responsibilities:

• Design prompts for production optimization
• Develop predictive maintenance solutions
• Create supply chain risk assessment tools
• Implement quality control automation

Salary Range: $170,000 - $220,000

7. Media & Entertainment

Unique Requirements:

• Understanding of content creation workflows
• Knowledge of intellectual property and copyright
• Experience with creative AI applications
• Familiarity with content moderation challenges

Key Responsibilities:

• Optimize prompts for content generation
• Develop personalized recommendation systems
• Create interactive storytelling experiences
• Implement content moderation solutions

Salary Range: $175,000 - $235,000

8. Government & Public Sector

Unique Requirements:

• Security clearance (often Secret or Top Secret)
• Knowledge of government procurement processes
• Understanding of public sector regulations
• Experience with accessibility and multilingual requirements

Key Responsibilities:

• Design prompts for citizen services
• Develop transparency and explainability frameworks
• Create multilingual support systems
• Ensure compliance with government AI ethics guidelines

Salary Range: $165,000 - $215,000

9. Automotive & Transportation

Unique Requirements:

• Understanding of autonomous vehicle systems
• Knowledge of safety-critical systems
• Experience with real-time processing requirements
• Familiarity with automotive standards (ISO 26262)

Key Responsibilities:

• Develop prompts for in-vehicle assistants
• Create navigation and route optimization systems
• Implement predictive maintenance for fleets
• Design safety-critical decision systems

Salary Range: $185,000 - $245,000

10. Energy & Utilities

Unique Requirements:

• Knowledge of energy grid systems and smart infrastructure
• Understanding of environmental regulations
• Experience with predictive analytics for demand
• Familiarity with renewable energy technologies

Key Responsibilities:

• Design prompts for grid optimization
• Develop energy consumption prediction models
• Create customer engagement solutions
• Implement predictive maintenance for infrastructure

Salary Range: $175,000 - $230,000

Experience Level Requirements Matrix

Entry-Level Manager (1-2 years management experience)

Must-Have Requirements:

• 3-5 years hands-on prompt engineering experience
• Led projects or mentored junior engineers
• Strong technical skills in Python and AI/ML
• Bachelor's degree in relevant field

Nice-to-Have Qualifications:

• Experience with 3+ different LLMs
• Published research or blog posts on prompt engineering
• Open source contributions
• Industry certifications

Red Flags to Avoid:

• No hands-on prompt engineering experience
• Poor communication skills
• Inability to explain technical concepts simply
• Lack of interest in people development

Skills Competency Framework:

• Technical Skills: Advanced
• Leadership Skills: Developing
• Strategic Thinking: Emerging
• Communication: Intermediate

Mid-Level Manager (3-5 years management experience)

Must-Have Requirements:

• 5-7 years in AI/ML with deep prompt engineering expertise
• Managed teams of 5+ engineers
• Delivered large-scale AI projects
• Experience with multiple industries or use cases

Nice-to-Have Qualifications:

• Advanced degree in AI/ML or MBA
• Speaking experience at conferences
• Patent applications or publications
• Vendor relationship management

Red Flags to Avoid:

• High team turnover in previous roles
• Lack of strategic thinking
• Over-reliance on single AI platform
• Poor stakeholder management history

Skills Competency Framework:

• Technical Skills: Expert
• Leadership Skills: Advanced
• Strategic Thinking: Proficient
• Communication: Advanced

Senior Manager (6-10 years management experience)

Must-Have Requirements:

• 8+ years in AI/ML leadership roles
• Managed teams of 15+ across multiple locations
• P&L responsibility or budget management
• Executive stakeholder management

Nice-to-Have Qualifications:

• Experience building departments from scratch
• Board-level presentation experience
• Industry thought leadership
• International team management

Red Flags to Avoid:

• Lack of hands-on experience with modern LLMs
• Poor track record of team development
• Inability to articulate business value
• Resistance to new technologies

Skills Competency Framework:

• Technical Skills: Expert/Architect
• Leadership Skills: Expert
• Strategic Thinking: Advanced
• Communication: Expert

Director Level (10+ years management experience)

Must-Have Requirements:

• 10+ years technology leadership experience
• Managed managers and built org structures
• Strategic planning and roadmap development
• Budget ownership of $5M+

Nice-to-Have Qualifications:

• C-suite experience or reporting
• M&A or integration experience
• Global team leadership
• Advisory board positions

Red Flags to Avoid:

• Lack of AI transformation experience
• Poor cultural fit indicators
• Inability to scale organizations
• Weak industry network

Skills Competency Framework:

• Technical Skills: Architect/Visionary
• Leadership Skills: Executive
• Strategic Thinking: Expert
• Communication: Executive

Comprehensive Salary Intelligence Dashboard

Research Methodology

Our salary data is compiled from multiple sources including:

• Analysis of 500+ job postings from January 2025
• Data from Glassdoor, Levels.fyi, and Blind
• Direct recruiter insights from 50+ search firms
• Company compensation surveys
• Real offer data from candidates

National Salary Overview

Base Salary Ranges by Company Type:

• FAANG/Big Tech: $220,000 - $270,000
• AI Startups (Series B+): $190,000 - $250,000
• Fortune 500 Enterprises: $175,000 - $220,000
• Consulting Firms: $185,000 - $235,000
• Mid-Market Companies: $165,000 - $200,000

Total Compensation Ranges:

• Base: $175,000 - $270,000
• Bonus: 15-50% of base
• Equity: $50,000 - $500,000 annual value
• Total: $250,000 - $450,000+

Geographic Salary Variations (Top 20 Metros)

Metro Area	Base Salary Range	Cost of Living Index
San Francisco Bay Area	$240,000 - $310,000	180
New York City	$220,000 - $285,000	168
Seattle	$210,000 - $270,000	158
Los Angeles	$200,000 - $260,000	147
Boston	$195,000 - $255,000	153
Washington DC	$190,000 - $250,000	152
Austin	$185,000 - $240,000	119
Denver	$180,000 - $235,000	128
Chicago	$175,000 - $230,000	107
Atlanta	$170,000 - $225,000	108
Dallas	$170,000 - $225,000	104
Miami	$165,000 - $220,000	123
Phoenix	$165,000 - $215,000	108
Philadelphia	$165,000 - $215,000	113
Portland	$160,000 - $210,000	134
San Diego	$185,000 - $240,000	142
Raleigh-Durham	$160,000 - $210,000	105
Nashville	$155,000 - $205,000	102
Remote (US)	$175,000 - $235,000	N/A
Remote (Global)	$140,000 - $200,000	N/A

Total Compensation Calculator

Base Components:

1. Base Salary: $175,000 - $270,000
2. Annual Bonus: 15-50% of base
3. Equity/RSUs: $50K - $500K annually
4. Signing Bonus: $25K - $100K (one-time)

Additional Benefits Value:

• Health Insurance: $15,000 - $25,000
• 401(k) Match: $10,000 - $20,000
• PTO Value: $15,000 - $30,000
• Professional Development: $5,000 - $10,000
• Other Perks: $5,000 - $15,000

Total Annual Value: $250,000 - $500,000+

Salary Negotiation Insights

Leverage Points:

• Competing offers increase base by 10-20%
• Specialized industry experience adds 5-15%
• Advanced degrees (PhD/MBA) add 5-10%
• Security clearances add 10-15%
• Relocation flexibility adds 5-10%

Negotiation Strategy:

1. Research market rates for your specific situation
2. Highlight unique expertise (specific LLMs, industries)
3. Negotiate total compensation, not just base
4. Consider equity refresh rates
5. Discuss professional development budgets
6. Clarify promotion timeline and criteria

Interview Question Bank

Core Technical Competency Questions

1. Prompt Engineering Fundamentals

   • "Walk me through your approach to optimizing a prompt that's producing inconsistent results."
   • Evaluation: Look for systematic methodology, understanding of model behavior
   • Red Flag: Relying solely on trial and error

2. LLM Architecture Understanding

   • "How do different LLM architectures impact your prompt engineering strategies?"
   • Evaluation: Deep understanding of transformer models, attention mechanisms
   • Red Flag: Surface-level knowledge only

3. Performance Optimization

   • "Describe how you've reduced token usage while maintaining output quality."
   • Evaluation: Cost consciousness, technical optimization skills
   • Red Flag: No consideration of efficiency

4. Multi-Model Strategy

   • "How do you decide which LLM to use for different use cases?"
   • Evaluation: Practical experience with multiple models
   • Red Flag: Allegiance to single provider

5. Prompt Chaining and Workflows

   • "Design a multi-step prompt workflow for a complex business process."
   • Evaluation: Systems thinking, architecture skills
   • Red Flag: Only simple, single-prompt experience

6. Safety and Bias Mitigation

   • "How do you ensure prompts don't produce biased or harmful outputs?"
   • Evaluation: Awareness of AI ethics and practical mitigation strategies
   • Red Flag: Dismissive of bias concerns

7. Evaluation Metrics

   • "What metrics do you use to measure prompt effectiveness?"
   • Evaluation: Data-driven approach, understanding of business impact
   • Red Flag: Subjective evaluation only

8. Version Control and Testing

   • "Describe your approach to prompt versioning and A/B testing."
   • Evaluation: Engineering rigor, systematic approach
   • Red Flag: Ad hoc management

9. Scale Challenges

   • "How do you handle prompt management across 100+ use cases?"
   • Evaluation: Experience with enterprise scale
   • Red Flag: Only small-scale experience

10. Technical Integration

    • "How do you integrate prompt systems with existing tech stacks?"
    • Evaluation: API knowledge, system design skills
    • Red Flag: Isolated prompt work only

Leadership and Management Assessment

11. Team Building

    • "Tell me about a time you built a prompt engineering team from scratch."
    • Evaluation: Hiring strategy, team composition thinking
    • Red Flag: No clear team vision

12. Conflict Resolution

    • "How would you handle disagreement between engineers on prompt approaches?"
    • Evaluation: Collaborative leadership style
    • Red Flag: Authoritarian or avoidant approach

13. Performance Management

    • "How do you measure and improve prompt engineer performance?"
    • Evaluation: Clear KPIs, development focus
    • Red Flag: No structured approach

14. Cross-functional Leadership

    • "Describe leading a project with product, engineering, and business teams."
    • Evaluation: Stakeholder management, communication skills
    • Red Flag: Silo mentality

15. Strategic Planning

    • "How would you create a 3-year prompt engineering roadmap?"
    • Evaluation: Vision, strategic thinking
    • Red Flag: Only tactical focus

Behavioral and Culture Fit Questions

16. Innovation Mindset

    • "Share an innovative prompt engineering solution you pioneered."
    • Evaluation: Creativity, problem-solving approach
    • Red Flag: Purely derivative work

17. Learning Agility

    • "How do you stay current with rapid AI advances?"
    • Evaluation: Continuous learning commitment
    • Red Flag: Outdated knowledge

18. Failure Management

    • "Tell me about a prompt engineering project that failed."
    • Evaluation: Learning from failure, accountability
    • Red Flag: Blame others or no failures

19. Ethical Decision Making

    • "Describe an ethical dilemma you faced with AI deployment."
    • Evaluation: Ethical reasoning, practical solutions
    • Red Flag: No ethical considerations

20. Change Management

    • "How do you drive adoption of new prompt engineering practices?"
    • Evaluation: Change leadership skills
    • Red Flag: Top-down only approach

Scenario-Based Questions

21. Crisis Management

    • "An AI system is producing inappropriate outputs in production. Walk me through your response."
    • Evaluation: Calm under pressure, systematic approach
    • Red Flag: Panic or blame

22. Resource Allocation

    • "You have 5 engineers and 10 high-priority projects. How do you prioritize?"
    • Evaluation: Strategic prioritization, communication
    • Red Flag: Trying to do everything

23. Vendor Management

    • "OpenAI significantly raises prices. What's your strategy?"
    • Evaluation: Business acumen, contingency planning
    • Red Flag: No alternative strategies

24. Stakeholder Communication

    • "The CEO asks why prompt engineering matters. Your 2-minute pitch?"
    • Evaluation: Executive communication, business value articulation
    • Red Flag: Too technical or vague

25. Technical Debt

    • "You inherit a team with 1000+ unorganized prompts. Your plan?"
    • Evaluation: Systematic improvement approach
    • Red Flag: Rip and replace mentality

Level-Specific Deep Dives

For Senior Candidates: 26. "How would you build a prompt engineering center of excellence?" 27. "Describe your approach to prompt engineering for regulated industries." 28. "How do you balance innovation with reliability at scale?"

For Director-Level Candidates: 29. "What's your vision for prompt engineering in 5 years?" 30. "How would you justify a $5M prompt engineering investment?" 31. "Describe building partnerships with AI vendors."

Illegal Questions to Avoid

Never Ask:

• Age, birthdate, or graduation years
• Marital status or family planning
• Religious beliefs or political views
• Health conditions or disabilities
• National origin or citizenship status

Legal Alternatives:

• Instead of: "Do you have kids?" Ask: "This role requires 20% travel. Can you meet that requirement?"
• Instead of: "Where are you from originally?" Ask: "Are you authorized to work in the US?"
• Instead of: "Any health issues?" Ask: "Can you perform the essential functions of this role with or without accommodation?"

Sourcing Strategy Guide

Platform Performance Analysis

Platform	Effectiveness	Cost	Time to Hire	Quality of Candidates
LinkedIn Recruiter	High	$$$	30-45 days	Excellent for experienced
AngelList	High	$$	25-35 days	Great for startup-minded
Dice	Medium	$$	35-50 days	Good for technical roles
Indeed	Medium	$	40-60 days	High volume, mixed quality
AI/ML Job Boards	High	$$	25-40 days	Specialized talent
University Partners	Medium	$	45-60 days	Junior talent pipeline
Executive Search	Very High	\(\)	60-90 days	Senior/Director level
Internal Referrals	Very High	$	20-30 days	Highest success rate

Specialized Talent Communities

Professional Associations:

• Association for Computational Linguistics (ACL)
• AI/ML Leadership Alliance
• Women in AI
• Black in AI
• Partnership on AI

Online Communities:

• r/MachineLearning (Reddit)
• Hugging Face Community
• LangChain Discord
• MLOps Community Slack
• AI Alignment Forum

Educational Pipelines:

• Stanford AI Lab alumni
• MIT CSAIL graduates
• Carnegie Mellon LTI
• Berkeley AI Research (BAIR)
• Corporate AI residency programs

Conference Networks:

• NeurIPS attendees
• ICML participants
• ACL conference speakers
• AI Summit presenters
• MLOps World speakers

Real Company Examples

Google - Senior Prompt Engineering Manager

• Posted on: careers.google.com
• Why it works: Clear impact statement, specific technical requirements, emphasis on leadership at scale
• Link: [Google Careers - AI Leadership Roles]

Anthropic - Head of Prompt Engineering

• Posted on: anthropic.com/careers
• Why it works: Mission-driven messaging, focus on AI safety, clear growth trajectory
• Unique aspect: Emphasis on ethical AI and long-term thinking

Microsoft - Principal Prompt Engineering Manager

• Posted on: careers.microsoft.com
• Why it works: Enterprise scale highlighted, clear product impact, strong benefits
• Key differentiator: Azure AI integration focus

Meta - Prompt Engineering Manager, GenAI

• Posted on: metacareers.com
• Why it works: Specific product lines mentioned, clear team structure, innovation focus
• Notable: Open source contribution emphasis

Scale AI - VP of Prompt Engineering

• Posted on: scale.com/careers
• Why it works: Data-centric approach, clear business impact, startup energy with scale
• Unique: Focus on human-in-the-loop systems

FAQ Section

Meta Description

Looking to hire a Prompt Engineering Manager? Get comprehensive 2025 job description templates, 25+ interview questions, salary benchmarks ($175K-$270K), and industry-specific variations. Includes templates for AI companies, enterprises, and consulting firms. Complete hiring guide with sourcing strategies and leadership assessment frameworks.