Scan.com ir veselības tehnoloģiju uzņēmums, kas atvieglo piekļuvi diagnostiskās attēlveidošanas pakalpojumiem. Tā tiešsaistes platforma ļauj pacientiem atrast, salīdzināt un pieteikties magnētiskās rezonanses izmeklējumiem, datortomogrāfijai un citiem medicīniskās attēlveidošanas izmeklējumiem, ko nodrošina attēlveidošanas pakalpojumu sniedzēju tīkls. Platformā ir pieejamas iepriekš norādītas cenas, digitāla apmaksa, palīdzība pieraksta plānošanā un izmeklējumu rezultātu saņemšana tiešsaistē. Scan.com palīdz arī attēlveidošanas centriem un ārstiem, kuri nosūta pacientus uz izmeklējumiem, pārvaldīt pacientu nosūtījumus un pierakstus, savienojot veselības aprūpes pakalpojumu patērētājus ar diagnostiskajā aprūpē iesaistītajiem speciālistiem.
Senior Engineering Manager
Lead hands-on, AI-enabled engineering at Scan.com, supporting its healthcare imaging network. Manage engineering teams, architecture, and scalable diagnostic workflows.
Apraksts
- Lead and grow engineering teams across product domains, guiding delivery, performance, technical development, and team culture.
- Build production software, lead design reviews, and collaborate with engineers on complex technical challenges.
- Set engineering standards for code quality, system design, testing, deployment, and incident response.
- Advance AI-enabled engineering workflows with AI agents and evaluation frameworks.
- Help engineers make AI tools a core part of their development work.
- Work with Product to shape roadmaps, refine scope, and prioritize high-impact problems.
- Guide system architecture, build-or-buy choices, technical debt, and scalability.
- Strengthen engineering culture through interviews, cross-team design reviews, all-hands meetings, and shared knowledge.
- Report to the CTO and collaborate with Product, Operations, and Data.
- Stay hands-on, spending about 30% of time coding, reviewing architecture, or guiding technical decisions.
Prasības
- Demonstrated success managing and developing engineering teams in a startup setting.
- Practical AI expertise, including deploying AI agents in production engineering workflows and building evaluation frameworks for complex tasks.
- Experience coaching teams to make AI a primary work tool.
- Strong engineering fundamentals and production-level coding ability in at least one modern backend or full-stack language.
- Able to lead system design discussions at a senior level.
- Must have written code within the past year.
- Experience at a growing healthcare technology company is a strong advantage.
- Familiarity with healthcare regulations, interoperability constraints, and operational complexity is a strong advantage.
- Effective partnership with Product and Operations teams.
- History of developing engineers and supporting their promotions and broader responsibilities.
- Strong sense of ownership.
Priekšrocības
- Flexible remote or hybrid work arrangements.
- A dedicated budget for professional development.
- Medical, vision, and dental insurance.
- At least 28 days off through paid time off and wellbeing days.
- Paid parental leave.
- 401(k) retirement plan.
- Equipment needed to do your best work.
- Inclusive, people-first policies shaped by the team.