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Sitetracker

Sitetracker

www.sitetracker.com

1 Job

410 Employees

About the Company

Sitetracker empowers owners, operators, contractors, and other stakeholders to streamline and optimize the complete asset lifecycle of critical infrastructure. As the leading global complete Asset Lifecycle Management platform, Sitetracker helps innovative companies like Vodafone, Ericsson, ENGIE, Telefonica, Cypress Creek Renewables, Cox, Iberdrola, EVgo, Vantage Towers, Southern Company, Zayo, Tilson, Nextera, EDOTCO, E.On, Axione, and TEP efficiently plan, build, operate, and maintain millions of projects, sites, and assets. Sitetracker delivers operational excellence and creates full transparency across industries such as digital infrastructure, renewables, EV charging, utilities, and real estate by driving safe, efficient teams, ensuring healthy projects, and enabling organizations to manage scale, growth, and complexity. Trusted by hundreds of industry leaders, Sitetracker advances a more connected and sustainable future across the world.

Manage What’s Critical, with Sitetracker.

Listed Jobs

Company background Company brand
Company Name
Sitetracker
Job Title
Staff Product Engineer
Job Description
Job Title: Staff Product Engineer Role Summary: Provide high‑level technical leadership and architectural vision for AI‑powered enterprise software, building scalable, high‑throughput AI infrastructure, mentoring engineering teams, and ensuring quality, security, and customer value. Expactations: • Own end‑to‑end AI solutions from design to production • Drive cross‑functional alignment (Product, Engineering, Compliance) • Mentor senior/mid engineers and establish AI engineering best practices • Influence roadmap through emerging AI capabilities. Key Responsibilities: • Design and deploy complex AI product capabilities end‑to‑end. • Write efficient, scalable code for core AI harness. • Securely integrate LLMs and other AI components. • Architect fault‑tolerant, multi‑agent systems with monitoring and maintenance. • Implement robust testing and evaluation pipelines for non‑deterministic AI outputs. • Enforce data‑privacy guardrails and compliance. • Resolve technical disputes and facilitate consensus across teams. • Communicate technical strategy to engineering, product, and executive audiences. • Draft and propagate best‑practice documentation and standards for secure AI development. Required Skills: • Deep expertise in AI/ML systems design, LLM integration, and scalable infrastructure. • Proficient in modern programming languages (Python, Go, Java, C++). • Strong system architecture, fault tolerances, and performance optimization. • Experience with CI/CD, monitoring, observability, and cloud platforms (AWS/GCP/Azure). • Proven leadership, mentorship, and conflict resolution in engineering environments. • Excellent written and verbal communication skills for technical and executive audiences. Required Education & Certifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • Relevant certifications in cloud platforms, AI/ML (e.g., AWS Certified Machine Learning, GCP Professional Data Engineer) preferred.
Toronto, Canada
Hybrid
11-03-2026