Key skills
JavaScriptNode.jsPythonPyTorchScikit-LearnAIMLLLMscikit-learnGitSaaSCI/CDLeadershipCommunicationSales
About this role
Role Overview
- Define and lead the company’s applied AI strategy
- Deliver scalable ML and LLM-powered solutions that drive measurable business impact
- Partner closely with Product, Engineering, Security/Compliance, Sales, and Marketing to translate customer needs into production-ready AI capabilities
- Coach and grow a small team
- Architect end-to-end AI systems
- Help the company communicate AI value credibly and responsibly to customers and stakeholders
Requirements
- Proven ability to lead an applied AI team (player-coach) and drive delivery in a production environment
- Strong end-to-end ML/AI engineering judgment: data, modeling, evaluation, deployment, monitoring, iteration
- Practical experience with LLMs and modern AI tooling, including prompt/system design, retrieval (RAG), fine-tuning (when appropriate), and evaluation
- Ability to translate ambiguous business problems into tractable AI work with clear scope, milestones, and measurable outcomes
- Excellent communication: can explain complex trade-offs to technical and non-technical audiences
- Experience collaborating with Sales/Marketing on customer-facing AI positioning and solutioning
- PhD Plus 2 years industry experience/ Masters plus 4 years / bachelor's plus 6 years industry experience
- Field of study computer science or at least 3 years as a software developer
- Strong Python and modern ML stack (e.g., PyTorch / sklearn; data tooling; experimentation, vector databases)
- Understanding of modern software development and technology practices like git, APIs, containerization, CI/CD
- Experience with model evaluation, guardrails, observability
- Understanding of responsible AI: privacy, security, governance, and risk controls—especially in regulated/enterprise contexts
- Node.js and other backend development skills
- Experience in B2B SaaS, compliance/ethics, risk, or enterprise workflows
- Experience designing evaluation frameworks for LLM features (quality, hallucination risk, latency/cost trade-offs)
- Prior customer-facing technical leadership (pre-sales, workshops, exec briefings)
Tech Stack
- JavaScript
- Node.js
- Python
- PyTorch
- Scikit-Learn
Benefits
- Flexible PTO plus US public holidays and Sick Time
- Medical, Dental and Vision Benefits
- Excellent 401K with employer match
- Life Insurance, short-term and long-term disability benefits
- Health & Wellness reimbursements
- Health Saving & Flexible spending account
- Employee Assistance Plan