About this role
About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Work directly with large organizations as a hands-on technical lead, guiding AI initiatives from early conversations through to live deployment. The role combines engineering, pre-sales consulting and stakeholder management, and passes field insights back to internal product teams.
What you'll do
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Run technical discovery sessions, scope proofs of concept, and carry out load testing and evaluations to confirm the right architecture and deployment setup for each customer.
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Build proofs of concept and production integrations hands-on inside customer environments, working within their infrastructure and security constraints.
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Advise customers on model selection, fine-tuning approaches and evaluation practices as they move from experimentation to production.
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Manage relationships across multiple stakeholders, identify internal champions and align the right people to move opportunities forward.
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Share recurring customer challenges and deployment patterns with product and engineering teams to inform the roadmap.
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Travel domestically to customer sites as needed.
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Requirements
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What we're looking for
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3+ years of experience in a technical, customer-facing role.
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A track record of delivering working AI or ML software in a client's own live systems, with hands-on exposure to large language model serving and fine-tuning.
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Working knowledge of open-model serving tools and the trade-offs involved in inference, plus comfort in the terminal.
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Experience deploying and running infrastructure for open-model inference.
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Solid Python programming ability, along with experience running GPU workloads on a major cloud platform and familiarity with Kubernetes.
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Executive presence in enterprise settings, able to hold a technical deep-dive with an engineer and present architecture trade-offs to a senior executive on the same day.
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Experience carrying a pre-sales technical engagement from the first call through proof of concept scoping, evaluations and model recommendations.
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Background at an AI-focused startup, or at an enterprise software company building AI features.
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Experience working with a major cloud provider in an AI capacity.
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Willingness to travel domestically to customers.
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Bonus points
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Experience navigating enterprise organizational dynamics end-to-end.
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Experience with preference-based or reinforcement fine-tuning workflows.
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Benefits
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Compensation and benefits
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Base salary: USD 176,000 to 224,000 per year
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Equity
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Performance-based variable compensation
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Comprehensive benefits package
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Location and work model
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Remote (US)
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Full-time