• Bridge the gap between technological innovation and market reality • Act as the technical face of the company guiding BSPs through their Cloud Journey and AI transformation • Evangelize the technical vision for AI-first SaaS portfolio • Collaborate with product teams on design of AI Agents • Research emerging trends to ensure competitive advantage • Act as a trusted technical advisor to C-Level executives • Represent the company at industry conferences and publish technical documentation • Collaborate with Sales to close complex deals • Translate customer requirements into scalable cloud-based AI architectures

• Actively lead and contribute to high-impact data/AI projects that directly improve operations support outcomes — e.g., real-time incident enrichment, predictive alerting, automated root-cause analysis, change risk scoring, ticket clustering & autotriage, knowledge mining for support agents, and intelligent runbooks. • Design and deliver scalable features embedded into operations support workflows and platforms (ServiceNow, Jira Service Management, monitoring tools, ITSM systems, etc.) in collaboration with multidisciplinary competency teams. • Ensure solutions meet strict operations support SLAs for reliability, low latency, auditability, explainability, and zero-downtime deployment. • Lead the architecture, development, and continuous enhancement of internal AIOps platforms and reusable components that power operations support teams — including integration with ITSM, observability (Prometheus/Grafana/ELK/Dynatrace/Splunk), ticketing, and automation tooling. • Support MLOps/AlOps best practices specifically for production operations support Al systems: model monitoring in live ops environments, drift & performance degradation detection, rollback mechanisms, and cost control at operational scale. • Serve as the lead Al technical authority and trusted advisor for all operations support programs, automation movements, and Al transformation efforts across service operations, NOC, support desks, infrastructure operations, and reliability engineering. • Lead technical discussions, architecture reviews, PoCs, vendor evaluations, and solution selection whenever Al is being considered or applied to operations support challenges. • Identify, prioritize, and drive the highest-ROI Al use cases in operations support — e.g., reducing MTTR/MTTD, automating Level 1 triage, predicting PI incidents, autogenerating post-mortems, optimizing shift handovers, and enabling proactive operations support. • Build, mentor, and lead a high-performing squad of AIOps specialists focused on operations support outcomes. • Foster a culture of rapid experimentation, production-first mindset, and relentless focus on operational impact (reduced toil, faster resolution, higher availability). • Partner intensively with operations support leaders, incident managers, service owners, reliability engineers, ITSM/process teams, and infrastructure groups to align Al initiatives with operational priorities and pain points.

• Define and execute the company’s long-term technology roadmap aligned with business and product goals. • Evaluate, select, and evolve game engines, tools, pipelines, and infrastructure. • Stay ahead of emerging technologies, platforms, and industry trends. • Lead and mentor engineering, tools, and infrastructure teams. • Establish best practices for coding standards, architecture, testing, and documentation. • Build a culture of technical excellence, ownership, and continuous improvement. • Oversee design of scalable, maintainable, and high-performance game architectures. • Ensure efficient integration between gameplay, engine, tools, backend, and live-ops systems. • Guide optimization for performance, memory, and platform compliance. • Partner with Product, Design, Art, and Production to ensure smooth development pipelines. • Balance technical quality with delivery timelines. • Identify risks and proactively implement solutions. • Oversee backend services, cloud infrastructure, build systems, and deployment pipelines. • Ensure reliability, scalability, security, and cost efficiency. • Recruit, onboard, and retain top engineering talent. • Define career paths and growth plans for technical staff. • Translate technical concepts into clear business language for executives and partners. • Support investor and partner discussions when needed.

Role Description You've built Shopify stores. You've wired up ERP integrations. You've dealt with inventory sync nightmares and order flow edge cases. Now imagine doing all of that with AI writing 100% of the code while you direct and review. This is an E-Commerce Role at Schneiders Saddlery, a 75-year-old equestrian e-commerce company with profitable mid-8-figure revenue and a modern stack after recent migration. We need a Head of Technology who understands e-commerce at a deep level AND has embraced AI-native development. Qualifications - 5+ years software engineering - Shopify (or Magento/BigCommerce) platform experience - Python AND JavaScript/TypeScript - ERP or inventory system integration experience - Active AI coding tool user with systematic approach - US-based Requirements - Fulfil.io or similar ERP experience (Nice-to-Have) - BigQuery or data warehouse experience (Nice-to-Have) - Previous role as sole/lead engineer (Nice-to-Have) Benefits - Contract (Months 1-3): $75/hr - Full-Time (Month 4+): $150K base + up to 100% performance bonus - Equity: Real path for exceptional performance Company Description Schneiders Saddlery is a 75-year-old equestrian e-commerce company with: - Profitable mid-8-figure revenue - Modern stack after recent migration