The New Healthtech Dev Team: How Many Engineers Do You Actually Need With AI in the Loop
Ask five healthtech CTOs how big their dev team should be in 2026, and you will get five confident answers built on gut feeling. AI coding tools rewrote the math, but nobody published the new formula. In this session, three people who watch healthtech team decisions happen every week share what is actually changing: which roles are shrinking, which ones are appearing, and where regulated work still needs a senior human. We will walk through one real, anonymized team restructure with the actual headcount and budget numbers, and give you a simple matrix for deciding what to automate, what to augment, and what to keep human. Come ready to vote. We open with a live poll on your current team size and use the results throughout the hour.
PAST WEBINAR
The New Healthtech Dev Team: How Many Engineers Do You Actually Need With AI in the Loop
Recording coming soon
Leave your email and we'll send you the recording the moment it's ready.
You're on the list
We'll email you the recording the moment it's ready.
WHY WATCH
What you get out of this hour
- Decision matrix The automate/augment/keep-human breakdown for common healthtech dev tasks, from boilerplate to HIPAA data handling.
- One restructure, real numbers An anonymized client team before and after AI: headcount, tooling budget, and delivery time.
- Deck and recording Full slides and the recording after the session, sent to everyone who registers.
DESCRIPTION
What you’ll learn
If you're building next year's healthtech engineering budget, you've probably already been asked whether AI means fewer hires. The honest answer is that headcount isn't really the variable that moved. Composition is. This hour is about what that means for founders, CTOs, and VPs of engineering as they decide whom to hire and whom to stop hiring. We share the patterns from real client conversations: what is shrinking, like manual QA and junior generalist roles, and what is growing, like AI oversight and compliance review. Then we get specific about where AI tools genuinely reduce headcount needs and where clinical safety features, compliance-sensitive logic, and architecture still demand senior judgment.
Agenda
- What healthtech teams look like now, drawn from 50+ client requests a quarter
- What AI coding tools genuinely replace, and where they stall in regulated products
- The automate/augment/keep human matrix for dev task
- One anonymized team restructure with real headcount and budget numbers
- The new roles: AI oversight, workflow engineering, compliance-aware review
- Live poll and audience Q&A
SPEAKERS
Meet your speakers
Olga Zmiiova
Chief Growth Officer · Litslink
Olga has spent six years at Litslink working side by side with clients, first in business development and now as Chief Growth Officer. She talks to fintech and healthtech teams every week, so she knows what they are actually asking for in 2026 and where projects tend to get stuck.
Oleg Khanachivskyi
Head of Sales · Litslink
Oleg has been growing Litslink’s client portfolio since 2017. He consults companies on AI, fintech, and healthcare builds, from trading platforms and crypto exchanges to patient-facing products. He works on current client requests daily, so he will share what businesses in both industries are actually buying right now.
Sergiy Tsymbal
CEO & Founder · BoostWorkforce
Sergiy builds custom Claude Code agents and compliant AI deployments that run CRM, ERP, and operations for growing companies. He draws on 11 years in software consulting, a decade as co-founder and CEO of Wow-How Studio, and MIT Sloan training in AI strategy for business
GET THE RECORDING
Get the full recording
Free access. We'll email you the link right away.
You're on the list
We'll email you the recording the moment it's ready.
LITSLINK IN NUMBERS
