Applied AI Scientist (PhD Required)
Applied AI Scientist Employment Type: Full-Time Location : Remote, Singapore Level: Mid to Senior (PhD Required) We're looking for a quantitatively-strong data professional who can bridge rigorous…
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Pixalate is building the next generation of its data platform - and this role leads it as an individual contributor.
As Director of Product Management for LLM Integrations & MCP Platform, you will own:
This isn't boilerplate - these are real filters for this role. If they resonate, you'll thrive here. If they don't, this is probably not the right fit.
We're the leader in fraud detection and privacy compliance for digital advertising, protecting billions in ad spend for Fortune 500 brands and major ad platforms. As fraudsters increasingly use AI to create sophisticated attacks, we're building the next generation of AI-powered detection systems to stay ahead. Our platform has been used to unearth multiple high-profile criminal and illegal surveillance cases, including:
Our team of lawyers, data scientists, engineers, economists, and researchers spans globally with presence in California, New York, Washington, DC, London, and Singapore.
Our Culture
We believe in small teams that produce high output. Slack is a way of life and short emails are encouraged. We value a fearless attitude and bold ideas. Chess players do well here. Titles don't mean much - you attain respect by producing results. Everyone's a data addict and analytical thinker who thrives on collaboration.
What We Offer
At Pixalate, you will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you're passionate about building products that protect millions of users and thrive in a fast-paced, challenging environment, you'll fit right in.
Please submit your resume and a brief note - bullet points preferred, 300 words max - covering two things: (1) a specific MCP, LLM tool, or API product you have owned, including what you shipped in v1 and how fast; and (2) a concrete example of outside-in product thinking - a decision you made because of what a client, developer, or usage pattern told you, not what you assumed internally.
Please also confirm your time zone and your availability to work across US, EU, and/or APAC hours. This is a practical requirement, not a formality.
We are particularly interested in candidates who can demonstrate practical, hands-on familiarity with MCP and LLM tool calling - not just awareness of the concepts.