ClickUp is revolutionizing the way the world works. As the only all-in-one productivity platform built from day one for true convergence, ClickUp unifies tasks, docs, chat, calendar, enterprise search, and more—supercharged by context-driven AI. While others scramble to bundle fragmented tools or bolt on AI, we anticipated this future and made it our foundation from the start. Headquartered in San Diego with a rapidly expanding global footprint, we empower over three million teams to break free from silos and reclaim their time—saving at least one day every week. Join ClickUp, one of the fastest-growing SaaS companies on the planet, and help millions of users transform the way they work. We’re not just building software. We’re shaping the future of work. Come join us in building the future—together.

QUALIFICATIONS

• 2+ years of experience writing production code in JavaScript, TypeScript, or Python.
• 1+ year hands‑on experience with large language models and prompt engineering.
• Experience combing through user feedback, building evaluation datasets, and designing practical evals for non-deterministic systems. Skilled at debugging unpredictable model behavior in production
• Proven experience working with multiple LLMs and AI models
• Strong written English and conversation‑design skills, able to craft clear, product‑aligned instructions.
• Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams.
• Product mindset with an iterative approach to experimentation and measurement.
• Experience with RAG pipelines and their integration into AI‑driven applications, including search and personalization workflows.
• Passion for staying at the forefront of AI infrastructure and applying new technologies to solve real-world problems at scale.

PREFERRED QUALIFICATIONS

• Background in linguistics, UX writing, or conversation design.
• Knowledge of safety frameworks, privacy constraints, and compliance requirements.
• Prior work on consumer productivity tools or other SaaS products.
• Adversarial prompting or safety red‑teaming experience.

#LI-MAV

Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people work. If you think ClickUp is the company for you, we encourage you to apply!
At ClickUp, we assess every candidate based on the potential impact they can have. We hire the best people for the job and support each person’s journey to build their boldest career.
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

ClickUp collects and processes personal data in accordance with applicable data protection laws.

• If you are a European Job Applicant, see our privacy policy for further details.
• If you are a Philippine Job Applicant, see our privacy policy and our Philippine Data Privacy Notice for further details.

Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
ClickUp Talent Acquisition will only initiate contact via an @clickup.com email or through our official careers portal on clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com

ROLE OVERVIEW

We are looking for a Prompt Engineer to transform raw model power into reliable product experiences. You will craft the system messages, user prompts, and tool instructions that make our GenAI‑powered features feel magic. You will be embedded within our AI Platform engineering team.

KEY RESPONSIBILITIES

• Design, implement, and refine prompts, system messages, and tool instructions for customer‑facing GenAI features.
• Decompose complex user intents into modular prompt chains, deciding when to call tools, retrieve knowledge, or delegate to agents.
• Own prompt evaluation by building datasets, tagging feedback, and writing custom evals. Use a mix of automation and human review to improve quality fast.
• Run adversarial and safety testing sessions to identify weaknesses, then iterate to improve robustness, tone, and compliance.
• Collaborate daily with product managers, designers, and AI platform engineers to ship experiments fast and learn from data.
• Stay current with new models, frameworks, and research, sharing insights with the wider AI team.