Head of Engineering
Hivenet
Leading 9 teams and 30+ engineers (direct and indirect reports) through the modernization of our product development process toward a leaner, AI-first delivery model—while hardening the platform for enterprise customers.
Key Achievements:
- Driving agentic AI and AI adoption across engineering—building the patterns, tooling, and guardrails behind an AI-first engineering culture
- Leading agent orchestration and optimization initiatives: multi-agent workflows, evaluation harnesses, and cost/latency optimization for production agentic systems
- Owning the SOC2 compliance initiative end-to-end—policies, controls, evidence, and the engineering changes required to meet enterprise-grade standards
- Driving enterprise-readiness: identity, auditability, reliability SLOs, and the operational maturity required to serve larger customers
- Establishing the DORA metrics foundation—deployment frequency, lead time, change failure rate, and MTTR—so teams have objective signal to improve on
- Enabling and rolling out data initiatives that unlock sharper product decisions, better observability, and the training signal our AI systems depend on
- Hiring, shaping team boundaries, and growing the engineering organization in line with an AI-first operating model
- Leading distributed engineering teams across multiple time zones and establishing engineering culture in a fast-growing startup