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Prompt Manager Jobs in California (NOW HIRING)

Prompt Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Ability to manage multiple initiatives, prioritize effectively, and operate independently in ambiguous, fast-moving environments. * Excellent communication skills, with the ability to explain prompt ...

Prompt Engineer

El Segundo, CA · On-site

$60K - $105K/yr

Working alongside product managers, engineers, and designers, you'll be responsible for the quality ... Build prompt templates and libraries that enable reusable, scalable AI solutions across the ...

Prompt Engineer About the Role: We're looking for a skilled Prompt Engineer to join our AI team and ... Working alongside product managers, engineers, and designers, you'll be responsible for the quality ...

The AI Prompt & Workflow Designer is the strategic architect and hands-on lead responsible for the ... Reporting to the Operations Manager - Tools & Automation, this senior individual contributor role ...

The AI Prompt & Workflow Designer is the strategic architect and hands-on lead responsible for the ... Reporting to the Operations Manager - Tools & Automation, this senior individual contributor role ...

The product has real depth across tracing, evals, prompt management, datasets, metrics, self-hosting, and enterprise workflows. The marketing job is to make that depth clear without flattening it ...

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Prompt Manager information

What is the difference between Prompt Manager vs Prompt Engineer?

AspectPrompt ManagerPrompt Engineer
CredentialsExperience with AI workflows, basic scripting, project managementTechnical expertise in AI, programming, and prompt design
Work EnvironmentCollaborative teams, project-based tasks, client interactionsTechnical teams, AI development labs, research settings
Industry UsageUsed in AI project management, content workflowsUsed in AI model development, prompt optimization
Search & ComparisonOften compared for roles managing prompts and workflowsCompared for technical prompt creation and tuning

Prompt Managers focus on overseeing AI prompt workflows, coordinating teams, and ensuring project goals are met. Prompt Engineers are more technically skilled, designing and refining prompts to optimize AI model performance. While both roles work with prompts, the Prompt Manager handles project management aspects, whereas the Prompt Engineer concentrates on technical prompt development.

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

To thrive as a Prompt Manager, you need expertise in prompt engineering, natural language processing, and a solid understanding of AI language models, often supported by experience in computer science or data science. Familiarity with tools like OpenAI's API, prompt optimization platforms, and version control systems is typically required. Strong analytical thinking, communication, and problem-solving abilities set standout Prompt Managers apart. These skills ensure the effective development and refinement of AI interactions, optimizing user experience and model performance.

What is a Prompt Manager?

A Prompt Manager is a professional responsible for creating, organizing, and optimizing prompts used in artificial intelligence systems, such as chatbots or language models. Their role involves designing prompts that elicit accurate and relevant responses from AI, maintaining prompt libraries, and analyzing AI performance to improve prompt effectiveness. Prompt Managers often collaborate with product teams, developers, and data scientists to ensure that AI interactions meet user needs and business goals. This position is increasingly important as organizations rely more on AI-driven applications.

How does a Prompt Manager typically collaborate with cross-functional teams to improve prompt effectiveness?

A Prompt Manager frequently works alongside product managers, data scientists, engineers, and UX designers to refine and optimize AI-generated responses. They solicit feedback from these teams to understand user needs and technical limitations, then iterate on prompt design to enhance clarity and accuracy. Regular meetings and shared documentation are common, ensuring everyone stays aligned on project goals and updates. This collaboration helps create more effective and user-friendly AI interactions.
What cities in California are hiring for Prompt Manager jobs? Cities in California with the most Prompt Manager job openings:
Prompt Engineer

Prompt Engineer

Cantina

Los Angeles, CA • On-site

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

About Cantina:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
About the Role:
As a Prompt Engineer at Cantina Labs, you will operate at the frontier of social generative AI-shaping how millions of users experience storytelling, and connection through AI characters. You'll collaborate closely with product, design, and engineering to discover what makes AI characters engaging, scalable, and hyper-realistic-and translate those insights into prompt systems, datasets, and evaluation frameworks that power Cantina's platform.
This role bridges research and product, pairing rigorous prompt engineering with strategic reasoning about model behavior and user experience. You'll own and shape how bots think, speak, and act across the product's features, balancing immediate product needs with long-term behavioral goals. Your work will directly impact the consistency, expressiveness, and realism of Cantina's AI characters at scale.
What You'll Do:
  • Define and author core behavior system prompts that shape how Cantina bots express personality, emotion, dialect, and social behavior across text, voice, image, and video.
  • Identify key personality traits that make AI personas compelling, and create datasets and prompt structures that reliably reproduce those traits.
  • Prototype new bot traits and product features through prompt engineering and iterate based on qualitative and quantitative evaluation.
  • Balance short-term feature development with long-term behavioral consistency and quality across the Cantina ecosystem.
  • Collaborate with research to build and maintain behavioral evaluations that measure bot performance, personality fidelity, and interaction quality over time.
  • Partner with product, design, and engineering to translate creative intent and user feedback into scalable prompt systems.
  • Review, refine, and evolve prompts as they move into production, helping establish best practices and launch criteria.
  • Track emerging issues in bot behavior, prioritize improvements, and drive prompt-level solutions in ambiguous or high-impact areas.
  • Document model quirks, prompting strategies, and guidelines to scale prompt development across teams.
  • Support research and ML in our training efforts by delivering meta-prompts for our synthetic data pipelines and evaluating new model behavior

What You'll Bring:
  • 3+ years of experience prompt engineering and developing LLM-based features end-to-end.
  • Strong experience writing, testing, and iterating on complex multi-step and system-level prompts.
  • Deep understanding of LLM capabilities, limitations, and quirks, with strong intuition for how input design shapes model behavior.
  • Experience creating datasets and evaluating model outputs in collaboration with ML or product teams.
  • Strong grounding in psychology, sociology, linguistics, or related fields as they relate to personality, behavior, and dialect.
  • Methodical, hypothesis-driven approach to experimentation and iteration.
  • Ability to manage multiple initiatives, prioritize effectively, and operate independently in ambiguous, fast-moving environments.
  • Excellent communication skills, with the ability to explain prompt design decisions to technical and non-technical stakeholders.
  • Comfortable communicating with executive-level stakeholders.
  • Basic Python familiarity and comfort navigating unfamiliar codebases

Compensation:
The anticipated annual base salary range for this role is between $150,000-$180,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
Benefits:
  • Competitive salary and generous company equity
  • Medical, dental, and vision insurance - 99.99% of premiums covered by Cantina
  • 42 days of paid time off, including:
    • 15 PTO days
    • 10 sick days
    • 15 company holidays
    • 2 floating holidays
  • Generous parental leave & fertility support
  • 401(k) retirement savings plan
  • Lifestyle spending account - $500/month to use however you'd like
  • Complimentary lunch and snacks for in-office employees
  • One Medical membership, and more!