Post an AI Product Manager job.
No agency, no placement fee.

Click "Post a job". You can post one job a month for free: it stays open 14 days and is reviewed first if your company website is not verified. Paid plans cover more jobs. Define the AI product scope clearly: is this a customer-facing LLM product, an internal AI tool, or a data platform? Describe what the PM will own — roadmap, model quality thresholds, user research, LLM cost management, or cross-functional coordination between engineering and business. Add the required background (technical PM, ex-engineer, analytics experience) and a compensation range. A detailed, honest post is the best way to attract candidates who are genuinely qualified rather than generalists who have attended an AI webinar.

The talent section on this page is pre-filtered for AI product and strategy specialists. Browse profiles showing their headline, background, and product scope. Click any profile to see the AI products they have launched, the teams they have led, the metrics they have owned, and how they describe working with ML engineers and data scientists. For AI PM roles specifically, look for profiles that describe navigating model quality trade-offs, managing stakeholder expectations around AI limitations, or shipping products that depend on probabilistic outputs — these are the experiences that actually transfer to your context.

AI roadmapping, LLM product design, user research for AI features, data-driven product decisions, A/B testing and experimentation frameworks, ML model evaluation (accuracy, latency, hallucination rate, user trust), cross-functional leadership of AI teams (data science, ML engineering, design), ethical AI governance, product analytics, and stakeholder communication for probabilistic systems. On the technical side: SQL for product analytics, familiarity with model evaluation frameworks, understanding of RAG and fine-tuning trade-offs, and the ability to write detailed AI product specifications. Specify which are hard requirements versus learning opportunities.

Yes, one job a month is free, with no credit card. It stays open 14 days and is reviewed first if your company website is not verified. Paid plans cover more jobs, and you can also post a single job for $99 without an account. There is no placement fee when you hire.

It depends on the role and on how clear the post is, so we do not promise a delay. Strong AI PMs tend to skip posts that do not describe the actual AI problem clearly. A post that specifies the product scope, the technical depth expected, and the business context will consistently outperform a generic "AI PM" title. Compensation transparency further accelerates quality responses.

Yes. New profiles are reviewed before appearing on RemoteAI. You see a genuine professional headline, descriptions of the AI products and features launched, the teams led, the metrics owned, and the business outcomes achieved — not just a generic PM resume with "AI" added to the title. Profiles that describe real AI product challenges (managing model uncertainty, navigating hallucination trade-offs, shipping LLM features to large user bases) are the ones that have been through the actual work. Profile review removes noise — your interview process should validate domain depth and the ability to manage AI-specific product complexity.

RemoteAI has AI product managers across all seniority levels. Associate AI PMs (1–3 years) are strong on data analysis, user research, and AI feature documentation — ideal for companies that need PM support alongside a strong senior IC. Mid-level AI PMs (3–6 years) can own a product area end-to-end, including roadmapping and cross-functional coordination. Senior AI PMs (6–10 years) define AI product strategy, manage multiple streams, and influence engineering and data science direction. Director and VP-level profiles (10+ years) are strategic leadership hires who set organizational AI product vision. Specify seniority and ownership scope clearly in your post.

Yes. RemoteAI has AI product managers from the US, UK, India, Canada, Germany, France, Brazil, and many other countries. AI PM work is well-suited to remote collaboration — roadmapping, stakeholder communication, user research, and data analysis are all effectively done in distributed team settings. Many experienced AI PMs have led cross-functional teams across multiple timezones and are comfortable with async-first working norms. If daily sync with engineering or leadership at specific hours is required, specify the timezone overlap in your post — candidates confirm their availability before applying.

The most reliable AI PM interview asks candidates to work through a real product decision involving AI trade-offs: for example, "our LLM feature has a 4% hallucination rate — how do you decide whether to launch?" Strong candidates will discuss threshold-setting, user impact segmentation, fallback design, and how they would communicate uncertainty to stakeholders. Weak candidates will give a generic "test more data" answer. A product case study involving model quality metrics, user research, and a constrained engineering timeline is more predictive than a resume screen. Always probe for specific past experiences — not hypothetical frameworks.

Free plan: you create a company account and read applications in your RemoteAI dashboard, with messaging and AI matching. One job a month, open 14 days, reviewed first if your website is not verified. The $99 option: no account and no dashboard. Candidates apply to your own email or link, and the listing is reviewed before it goes live.