Offer summary

Qualifications:

8+ years of experience in large-scale, fast-growing environments., 6+ years of hands-on development experience with production-grade systems., 5+ years of managing high-performing engineering teams using Agile methodologies., Experience with scalable infrastructure, cloud services, and data-ops technologies..

Key responsibilities:

Build and lead the company's engineering team.

Oversee the company's R&D vision, performance, and deliverables.

Recruit, develop, and strategize the engineering organization.

Collaborate with design partners and customers to refine products.

Job description

Description

Team8 is a company-building venture group that builds and invests in companies specializing in Digital Health, Enterprise technologies, Fintech, Data, AI, and Cybersecurity. The Team8 model supports entrepreneurs with an in-house team of researchers, growth experts, talent acquisition specialists and a “village” community of enterprise C-level executives and thought leaders. Whether building a new company from scratch or investing in companies already on their journey, Team8 brings a rich ecosystem to work hand in hand with entrepreneurs in accelerating their path to success.

What you’ll do:

Build and lead the company's engineering team.
End-to-end responsibility for the company's R&D vision, performance, and deliverables.
Recruit and build engineering organization, growth, and strategy.
Help build, deliver against, and design the company’s product roadmap.
Work closely with design partners and prospective customers to ensure the success of active engagement, synthesizing feedback to make needed changes and improvements to the product.

Requirements

8+ years of experience in getting things done in a distributed, large-scale, and fast-growing environment.
6+ years of proven hands-on production-grade development experience.
5+ years of experience in managing high-performing engineering teams and delivering in Agile and Scrum methodologies.
Experience with scalable infrastructure (Kubernetes, Serverless, Lambda) and public clouds (AWS, Azure, GCP).
Strong understanding of data-ops and ML/AI technologies.
Experience with large-scale SaaS production services, databases, and Big Data.
Experience implementing and managing DevOps practices and CI/CD architecture.
Experience building products that revolve around data ingest and analytics.
Strong technical craft mastery and engineering discipline.
Deep organization capabilities, especially regarding influence, collaboration, and communication
Experience effectively balancing toil/technical debt with new customers.
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Nice to have: