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Expect scenarios on scoping an AI use case, handling data or policy constraints, and explaining tradeoffs to non-technical leaders. Prepare concise stories about deploying or advising on ML systems in production settings, measuring impact, and recovering when a pilot stalls. Be ready to discuss how you partner with engineers without owning the full stack alone.
Strong fit if you enjoy client-facing strategy, can move from problem framing to a credible AI plan, and stay grounded when hype outruns feasibility. Climb’s Forward Deployed AI Strategist title points to field-oriented work: influence without pure IC ownership, clear communication, and comfort operating across product, data, and business stakeholders in the U.S.
As a Forward Deployed AI Strategist at Climb, a typical day centers on embedding with stakeholders to map business problems to practical AI solutions. You may run discovery workshops, translate requirements for product and engineering partners, prototype or scope model-backed workflows, and track adoption and outcomes with customer teams. Much of the work is cross-functional: aligning strategy, risk, and delivery rather than pure research.
The listing marks remote as not enabled and places the job in the United States, so plan for U.S.-based, non-fully-remote arrangements unless Climb clarifies otherwise in the full posting.
It typically means working close to customers or internal operators—scoping AI solutions on the ground, not only designing them from a central lab or product seat.
Experience translating business goals into AI or automation initiatives, plus enough technical fluency to partner with builders and enough product sense to prioritize high-impact, realistic work.
Forward Deployed AI Strategist at Climb - US Position Summary Climb is seeking a Forward Deployed AI Strategist to join our team of data and AI consultants. As part of this role, you will work closely with enterprise clients to design, build, and operationalize modern data platforms and production AI systems. This position requires a strong background in machine learning, AI deployment, and lakehouse architecture. Day-to-Day Responsibilities Collaborate with cross-functional teams to understand business needs and translate them into technical solutions Design and implement data platforms and production AI systems Work closely with clients to ensure successful deployment of AI models in real-world scenarios Provide strategic guidance on the integration of AI technologies within client organizations Maintain a focus on operationalizing AI solutions for maximum impact Qualifications Strong background in machine learning and AI deployment Experience with lakehouse architecture and Databricks Ability to work independently and as part of a team Excellent communication skills, both written and verbal Degree in Computer Science, Data Science, or related field; advanced degree preferred Minimum 5 years of experience in AI strategy and deployment More About Climb Climb is a Data and AI consultancy that partners with enterprises to design, build, and operationalize modern data platforms and production AI systems. As a Databricks partner, we specialize in lakehouse architecture, machine learning, and applied AI, with a focus on production over proof of concept. Our team brings deep technical expertise and a builder's mindset to every engagement. How to Apply To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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