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Director Prompt Engineer Jobs in California (NOW HIRING)

You'll also contribute prompt engineering work to evaluate and refine model outputs. This is a ... Skills Art director, Design, prompt engineering Additional Skills & Qualifications - Prior ...

Senior Software Engineer, DevAI

San Diego, CA · On-site

$130K - $171K/yr

This role follows a hybrid work schedule and reports to the Director of Engineering, Waymo DevAI ... Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and ...

Lead AI Engineer - AgenticAI

Santa Clara, CA · On-site

$120K - $158K/yr

Prompt engineering as a managed, versioned, testable artifact * Experience deploying and operating LLMs using: * AWS SageMaker, Vertex AI, or equivalent managed platforms * Direct API integrations ...

This role follows a hybrid work schedule and reports to the Director of Engineering, Waymo DevAI ... Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and ...

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Director Prompt Engineer information

What are Director Prompt Engineers?

Director Prompt Engineers are professionals who oversee and lead teams in designing, developing, and refining prompts for artificial intelligence (AI) models, such as large language models. They are responsible for setting prompt engineering strategies, ensuring prompt quality, and collaborating with cross-functional teams to align AI outputs with business goals. Their role often includes managing prompt engineers, establishing best practices, and driving innovation in how AI systems interpret and respond to human input. Director Prompt Engineers play a critical role in shaping the effectiveness and accuracy of AI applications across various industries.

What is the highest paid prompt engineer?

The highest paid prompt engineers typically earn salaries exceeding $150,000 annually, especially those with advanced skills in AI, machine learning, and natural language processing, and experience working with large language models like GPT. Senior roles or those in tech hubs may offer even higher compensation, often including bonuses and stock options.

What engineers make $300,000 a year?

Senior engineers in fields such as software, data engineering, and specialized roles like AI or machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or AI research directors that offer compensation in that range. These positions often require advanced expertise in AI, extensive experience, and may include bonuses or stock options as part of the total package.

What is the difference between Director Prompt Engineer vs Prompt Engineer?

AspectDirector Prompt EngineerPrompt Engineer
ResponsibilitiesOversees AI prompt strategies, manages teams, and aligns AI outputs with business goalsDesigns and develops prompts to optimize AI model responses
Required SkillsAdvanced AI knowledge, leadership, project managementStrong prompt design, AI understanding, technical writing
Work EnvironmentStrategic, managerial, cross-functional teamsTechnical, focused on prompt creation and testing
Industry UsageUsed in organizations integrating AI at a strategic levelCommon in AI development, research, and product teams

The main difference is that a Director Prompt Engineer leads AI prompt initiatives and manages teams, while a Prompt Engineer focuses on designing effective prompts. The director role involves strategic oversight, whereas the prompt engineer role is more technical and hands-on.

What are the key skills and qualifications needed to thrive as a Director Prompt Engineer, and why are they important?

To thrive as a Director Prompt Engineer, you need deep expertise in natural language processing, AI model development, and prompt engineering, supported by an advanced degree in computer science or a related field. Proficiency with machine learning frameworks, prompt optimization tools, and familiarity with platforms like OpenAI API is essential, along with experience in managing technical teams. Exceptional communication, strategic thinking, and leadership skills help drive innovation and effectively guide cross-functional teams. These skills ensure the delivery of high-performing AI solutions and foster a collaborative environment for continuous improvement in prompt engineering.

What engineer makes $500,000 a year?

A Director Prompt Engineer or senior AI/ML engineer with extensive experience and specialized skills can earn $500,000 or more annually, especially in high-demand industries like technology and finance. Such roles often require advanced knowledge of machine learning, natural language processing, and proficiency with tools like Python, TensorFlow, or PyTorch, along with leadership responsibilities. Compensation at this level typically includes base salary, bonuses, and stock options.

How does a Director Prompt Engineer collaborate with cross-functional teams to implement AI-driven solutions?

A Director Prompt Engineer regularly works with data scientists, product managers, software engineers, and UX designers to ensure that AI prompts align with business objectives and user needs. This collaboration often involves leading brainstorming sessions, reviewing prompt performance analytics, and iterating based on feedback from both technical and non-technical stakeholders. By maintaining clear communication and a shared vision across teams, the Director ensures that prompt engineering strategies are seamlessly integrated into product development cycles. This role also mentors team members and establishes best practices, fostering a culture of continuous learning and innovation.
What are the most commonly searched types of Prompt Engineer jobs in California? The most popular types of Prompt Engineer jobs in California are:
What job categories do people searching Director Prompt Engineer jobs in California look for? The top searched job categories for Director Prompt Engineer jobs in California are:
What cities in California are hiring for Director Prompt Engineer jobs? Cities in California with the most Director Prompt Engineer job openings:

Founding Deployment Strategist (AI Customer Success & Prompt Engineering)

Carnaby Fox

San Francisco, CA • On-site

$140K/yr

Other

Posted 11 days ago


Job description

🚀 Hiring: Founding Deployment Strategist (AI Customer Success & Prompt Engineering)

📍 Location: San Francisco, California (On-site)

💼 Employment Type: Full-Time

💰 Compensation: $140,000+Base with Competitive Founding Equity

🛂 Visa Sponsorship: Not Available (H1B Transfers Welcome)


Join a High-Growth, Venture-Backed AI Startup

We're partnering with a rapidly growing, venture-backed AI startup that's transforming how B2B companies engage, educate, and convert customers through next-generation conversational AI.

Backed by $6M in funding and having achieved 100+ customers in under 60 days, our client is entering an exciting phase of growth and is looking for an exceptional Founding Deployment Strategist to join its early team.


This is not a traditional Customer Success or Solutions Consultant position.

You'll own the complete customer deployment lifecycle—from understanding each customer's business and sales process to designing, deploying, optimizing, and continuously improving AI agents that become an extension of their revenue teams.

Working directly with founders, enterprise customers, and product leadership, you'll help shape the future of AI-powered customer engagement while influencing both customer outcomes and product strategy.


Why This Opportunity?

✔ Join a rapidly scaling, venture-backed AI startup.

✔ Become an early founding team member with meaningful equity.

✔ Work directly with founders and senior leadership.

✔ Own the complete customer onboarding and deployment strategy.

✔ Influence product development through direct customer insights.

✔ Build AI-powered customer experiences that create measurable business impact.

✔ Work at the intersection of Artificial Intelligence, Prompt Engineering, Customer Success, Product Strategy, and Go-to-Market execution.

✔ Accelerate your career while helping define how businesses adopt conversational AI.


Key Responsibilities

As the Founding Deployment Strategist, you will:

• Own the complete deployment journey from customer sign-up through successful go-live.

• Understand each customer's products, business model, buyer personas, positioning, and sales strategy.

• Configure and optimize AI agents using Prompt Engineering and conversational workflows.

• Monitor live AI conversations, identify trends, and continuously improve agent performance through prompt tuning and evaluation.

• Act as the primary customer contact via Slack Connect while delivering an exceptional onboarding experience.

• Translate customer insights into product improvements by working closely with Engineering and Product teams.

• Build scalable deployment frameworks that support rapid customer growth.

• Partner cross-functionally with Product, Engineering, Leadership, and Customer Success teams to maximize customer outcomes.

Required Qualifications

We're looking for professionals who combine strategic thinking, customer engagement, and AI expertise.


Experience

1.5–3 years of experience at McKinsey, Bain, or BCG (MBB)

• Experience working with enterprise customers and executive stakeholders.

• Proven ownership of customer-facing strategic initiatives.

Technical Skills

• Artificial Intelligence (AI) Tools

• Prompt Engineering

• AI Agents

• Evaluation (Eval) Systems

• Systems Thinking

• Enterprise Software

• Customer Deployment

• Excellent communication and stakeholder management skills.


Ideal Candidate Profile

You'll thrive in this role if you:

✔ Love solving customer problems.

✔ Enjoy working directly with founders and executive stakeholders.

✔ Think in systems rather than isolated tasks.

✔ Learn new products quickly.

✔ Have outstanding communication and relationship-building skills.

✔ Are passionate about AI and emerging technologies.

✔ Thrive in fast-paced startup environments.

✔ Take ownership and execute with minimal direction.

✔ Combine consulting-level problem-solving with startup speed.


Preferred Background

Candidates with experience in any of the following areas are highly encouraged to apply:

• Management Consulting

• Artificial Intelligence

• B2B SaaS

• Customer Success

• Product Strategy

• Solutions Engineering

• Revenue Operations

• Go-to-Market Strategy

• Enterprise Software

Hands-on experience with conversational AI, prompt engineering, AI workflows, or customer-facing AI products is highly desirable.


Preferred Company Experience

We're particularly interested in candidates who have experience at:

• McKinsey & Company

• Bain & Company

• Boston Consulting Group (BCG)

along with experience at high-growth venture-backed startups where you've owned strategic customer initiatives and worked directly with founders or senior leadership.


Education

• Bachelor's degree required.

• Strong analytical thinking, structured problem-solving, and exceptional communication skills are essential.


What Success Looks Like

In this role, you'll help customers successfully deploy AI-powered sales agents that create measurable business impact.

You'll transform complex products into intelligent conversational experiences, continuously optimize AI performance, and serve as the critical bridge between customers and product development.

Your work will directly influence customer success, product evolution, and the continued growth of one of Silicon Valley's most exciting AI startups.

Ready to Build the Future of Conversational AI?

If you're excited about combining strategy, AI, customer success, and startup execution while working alongside world-class founders, we'd love to hear from you.


📩 Apply now or share this opportunity with someone in your network who would be an excellent fit.


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