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Distyl AI

AI Strategist, Healthcare Solutions

San Francisco; New YorkHybrid · United States
FullTime · Solutions
POSTED 14 MAYVERIFIED 12H AGO
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Role
179 days opentrue age
Posted 14 May
Pay
$200kno pay posted
$100k$210k
Market p25–p75
$100k–$210k
Distyl AI p25–p75
$200kn=7
SF Bay Area · n=2435 · 365d to 6 Nov
CompanyDistyl AI →
25open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
416,800open · Other
Opened · 7d
+21,9115% of open
All other
624,481open
All tracked boards · live 10 Nov · n=416,800
Visa
17H-1B LCAs · FY26
Median wage
$210k
LCAs FY26 · n=17 · to 2026-05-21
Distributed systems

About Distyl AI

Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.

We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.

Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.

What We Are Looking For

As an AI Strategist, you'll lead and drive the technology solutions in Healthcare vertical and drive the GTM process with healthcare customer engagements, from first meeting to deal signed. You'll drive revenue and new logo expansion by diagnosing customer problems through an AI lens and designing data-driven, AI-enabled strategies that deliver desired outcomes and help prospective clients see the immediate value of AI adoption. As a core member of Distyl’s Healthcare GTM Team, you'll operate in 0→1 mode — rapidly building demos and proof-of-concept solutions that showcase the Distillery platform’s capabilities to prospective healthcare clients.

You'll work at the intersection of business strategy and AI implementation, bridging the gap between Distyl’s technical AI tools and the business outcomes that get deals signed. Strong communication and storytelling skills are essential. You are the person in the room making the case for AI transformation. You'll also get hands-on — prototyping workflows on the Distillery platform, building demos in days not months, and collaborating with healthcare SMEs (clinicians, case managers, claims analysts) to ensure solutions address real operational pain points.

This is a high-ownership role for someone who thrives at the intersection of AI strategy, analytics, and execution — and wants to build the GTM engine of an early-stage AI company from the ground up.

Key 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

Source · Distyl AIFirst seen 2 NovOriginal ↗