Job Description
Ovii's Interpretation of the Role
The Head of Tech will own engineering strategy, AI/ML platform architecture, and delivery across a B2B SaaS predictive supply‑chain product. You will partner with product, sales, and customers to turn data and AI capabilities into measurable business impact while building high‑performing technical teams.
Role Snapshot
- Lead engineering and AI strategy
- Define scalable platform and infrastructure architecture
- Drive production AI/ML systems and MLOps
- Partner with product, sales and customers
- Build and mentor senior engineering, ML and analytics teams
- Champion engineering velocity, quality and documentation
Must-Have Requirements
- Backend system architecture
- Distributed systems & cloud infrastructure
- MLOps & model lifecycle management
- Real‑time data pipelines
- Leadership & team building
- Product‑tech alignment
- software engineering
- data
- ML environments
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field
Nice-to-Have Signals
- Logistics or supply‑chain industry experience
- Enterprise/Fortune 500 experience
- logistics or supply‑chain industry
- enterprise/Fortune 500
- Logistics
- Supply chain
Work Setup
- Location: Singapore, Singapore
- Work mode: HYBRID
- Remote scope: GLOBAL
- Employment type: Full-Time
Eligibility Gates
- Visa sponsorship: unknown
Not Specified in JD
- Salary range
- Visa sponsorship
- Equity
- Bonus
- Travel requirement
What You'll Likely Work On
- Set technical direction and define scalable architecture for platform, infrastructure, and product systems
- Ensure reliability, performance, security and documentation across critical services
- Move ML models from experimentation to production, strengthening MLOps and real‑time data pipelines
- Align analytics insights with product and customer decision‑making
- Partner with product and sales to shape the technical roadmap and solve complex enterprise use cases
- Hire senior talent, raise the technical bar, and create clear ownership within engineering, ML and analytics teams
- Foster a culture of accountability, curiosity and effectiveness while reducing single‑point dependencies
Good Fit If You Have
- Experience leading technical teams in a startup or product‑driven B2B SaaS environment
- Background in logistics, supply‑chain, or data‑heavy SaaS is a plus
- Previous work with enterprise or Fortune 500 customers is advantageous
Skills
- Backend system architecture
- Distributed systems & cloud infrastructure
- MLOps & model lifecycle management
- Real‑time data pipelines
- Leadership & team building
- Product‑tech alignment
- Scalable AI/ML deployment