Hybrid AI Strategist, Healthcare Solutions

at Distyl AI

• Job title: AI Strategist, Healthcare Solutions
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $150,000 - $250,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Pandas, Python, SQL
• Location requirements: Hybrid, San Francisco, United States

About the role

• AI Strategist at Distyl driving technology solutions and go-to-market process in healthcare. Leading AI adoption by diagnosing client needs and designing data-driven strategies.

Responsibilities

• Drive the AI solutioning throughout the pre-sales process on healthcare deals — from initial discovery through deal close, you own the momentum that gets engagements across the finish line
• Diagnose prospective client problems through an AI lens and identify where AI-enabled strategies can transform operations, optimize workflows, and improve outcomes at scale
• Research clients and their industry landscape to prepare materials for prospective client meetings, including use case points of view tailored to each prospect
• Develop deep expertise in Distyl’s Healthcare Solutions (Utilization Management, Care Management, Cost of Care, Claims, Member/Provider Communications etc.) to identify and prioritize high-value use cases for each customer
• Feed insights to AEs to sharpen the pitch and differentiate Distyl’s AI-enabled offerings
• Conduct technical discovery after Account Executives open the door — identify the right use cases, solution architecture, and feasibility
• Identify the most valuable problems to solve. Embed yourself in the customer’s workflow to understand it better than the users themselves
• Work closely with engineering to co-design solutions — you can whiteboard an architecture, debate tradeoffs in system design, and bridge the gap between what the customer needs and what the platform can deliver
• Build demos and competitive positioning docs with internal stakeholders, driving rapid delivery for demos and POC scoping
• Build out POC proposals — define scope, success criteria, timelines, and resource requirements
• Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints
• Build compelling storylines and decks that make the ROI of AI transformation concrete and undeniable
• Create and maintain reusable GTM assets — demo scripts, ROI calculators, competitive positioning materials, and use-case-specific pitch decks aligned for Solutions
• Own the knowledge transfer, ensuring clean, formal handoff to the expansion team
• Maintain living account documentation during the pre-sales phase

Requirements

• 8-12 years of experience in sales engineering, solutions consulting, product management, technical growth, chief of staff, or a similar role at the intersection of business and technology, with deep, direct experience in healthcare (payer operations, provider workflows, or health tech). You understand how a prior authorization gets processed, why claims adjudication breaks, and what a medical director actually cares about
• Technical undergraduate degree (CS, engineering, math, or similar) — you don’t just understand technical concepts, you build with them. You can write code to prototype a workflow, interrogate a dataset in Python/SQL, and speak fluently with engineers about system design and API architecture
• Hands-on experience designing and building GenAI solutions — not just scoping them. You’ve gotten your hands dirty with LLM pipelines, prompt engineering, RAG architectures, or similar, and can prototype on a platform like Distillery without waiting for engineering to hand you a demo
• Ability to translate complex AI technical capabilities into specific, high-value business outcomes. You can make enterprise executives see why AI adoption matters now
• Strong engineering-adjacent data skills: Write SQL, work in Python/pandas, and navigate messy enterprise datasets to pull the insights that drive deal narratives. Bonus if you’ve worked with healthcare-specific data formats
• Exceptional communication and storytelling skills: You can command a room, structure a pitch, build a narrative arc, and make complex AI concepts land with senior executives
• Deep domain expertise in healthcare operations — you’ve lived in the workflows (UM, care management, claims, network) and understand the regulatory, clinical, and operational constraints that shape AI adoption in this space. Experience navigating NCQA, CMS guidelines, or clinical documentation requirements is a strong signal.
• Thrive in Ambiguity: Ability to identify critical problems in complex situations and define outcomes.
• High ownership and intensity — you operate like a founder, not a task-taker
• Comfortable engaging with VP/C-level executives at Fortune 500 healthcare organizations
• You’ll develop deep fluency in Distyl’s Distillery platform, its primitives, and its capabilities — building demos and POCs directly on the platform, not just presenting what someone else built
• Travel: Ability to travel 50%

Benefits

• 100% covered medical, dental, and vision for employees and dependents
• 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
• Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems
• Ownership of high‑impact projects across top enterprises
• A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence