Director of Development, AI Native

. Manage development of AI-native products .

Posted 10/15/2026full-timeRemote • New Hampshire • United StatesLeadWebsite

Tools & technologies

AWSAzureCloudCyber SecurityGoogle Cloud PlatformJavaMicroservicesPythonRayGo

Key responsibilities & impact

Manage development of AI-native products
Build and manage a high-performance team and product for AI-driven Life Sciences applications
Translate business and go-to-market requirements into modern technical architecture
Collaborate with cross-functional teams to prioritize integration with other Signals products
Identify common platform services usable across the Revvity platform
Work closely with UX and product management on product features and overall product experience
Participate in hiring, planning, requirements definition, design discussions, code reviews, and software development
Work with PM, QA, Cloud Ops, and SRE teams to build and deploy quality products
Lead cross-functional teams and mentor engineers

What you’ll need

A proven background in software architecture and design patterns to develop a greenfield AI software application
Strategic leadership capabilities to translate business and GTM requirements into modern technical architecture
Detailed knowledge and hands-on experience with AWS, GCP, and Azure infrastructure, software, and AI services
Complete understanding of DevSecOps, including CI/CD, testing, and observability
Expert proficiency in cloud native design, including containers, microservices, and APIs
Strong understanding of scale, performance optimization, and building durable software
Experience with modern programming languages, LLMs, and AI code tooling, including Go, Python, Java, Claude, and CoPilot
Experience leading cross-functional teams and mentoring engineers
BS/MS Computer Science or equivalent
Minimum 12+ years of experience and at least 10 years’ experience as a manager
Proven experience designing and implementing AI infrastructure, including applications powered by LLMs
Expert programming skills in Python and Java
Proven experience with distributed execution frameworks such as Dask, Sparc, Ray, or similar
Subject matter expertise in AI/ML, cloud computing, data science, big data, and cybersecurity
Proven experience with AWS
Excellent verbal and written communication skills required
Must be able to communicate effectively with other team members
Creative problem-solving skills

Comp & perks