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About Us:
Full job description
About Us: AltaML is an applied artificial intelligence company, building and deploying solutions for organizations where the problems are real and the stakes are high, across public sector, construction, energy, and finance.
We believe in making small bets, failing fast, and being better together. We are on the lookout for creative problem-solvers, out-of-the-box thinkers who strive to solve big problems alongside clients, and early tech adopters driven to achieve success. We don't hire for fit; we hire to add. We are looking for people who play by our core values of being: Agile, Gritty, Humble, and Happy. If you're passionate about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from you!
Technical Product Manager @ AltaML
Own the technical roadmap for AltaForge, our AI platform. You'll shape what the platform costs, what it can do, and what every solution built on it inherits. From model trade-offs and sovereign deployment to what becomes shared infrastructure versus a one-off. The work is hands-on: real technical discovery, quick spikes with AI tools to validate frameworks yourself, and staying ahead of agentic programming trends to inform what we build next. Your developers and engineers are your clients too. You serve them so they can serve ours. This is also the seat closest to the agentic layer we're building over our own tools, where agents do the work and people sign off.
You have been a software engineer. Real systems shipped and maintained. You have managed products already, from a technical perspective. You have worked with agentic systems and LLM applications. You have done observability, developer tooling, or platform work where your users are developers. You work with AI tooling every day. Claude, agents, Claude Code. You have made technology choices and lived with the consequences , and you know what to look for the second time. You have real experience speaking with engineers and you value their perspective , and you can explain a technical call to someone who is not a software engineer.
Experience with Knowledge graphs and Retrieval-Augmented Generation (RAG) systems. Experience working with Enterprise or Public Sector clients, and the security and procurement realities that come with them.
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