Technical Operations Lead

Description The Technical Operations Lead will define and implement workflows that ensure the accuracy, consistency, and reliability of our AI and data-driven products across customer configurations, validation cycles, and internal processes. As our first operations-focused hire , you’ll work side-by-side with engineers and product to scale these workflows, making complex processes simple, repeatable, and reliable. This is a hands-on, high-impact role where your work will directly shape how we deliver AI to our customers. Flexible: 20–35+ hours/week Core Responsibilities • Customer Launch Coordination • Oversee setup of new customer configurations for product launches, line-of-business expansions, and sales demos. • Lead planning, tracking, and execution of validation efforts across internal teams and customers. • Serve as a customer-facing contact for customer configuration updates. • Operational Metrics & Continuous Improvement • Define and document key internal operational metrics (e.g., validation turnaround, onboarding cycle time, accuracy rate). • Work with Product & Engineering to instrument and automate metric tracking in dashboards or monitoring tools. • Review metrics regularly to identify bottlenecks, inefficiencies, and improvement opportunities. • Process Development & Documentation • Establish and maintain process documentation, templates, and checklists for repeatable execution of validation, configuration, and delivery workflows. • Contribute to internal operational playbooks and cross-functional onboarding materials. • Propose and drive process or tooling enhancements to improve speed, quality, and visibility. • Incident & Issue Management • Serve as a customer-facing contact for operational incidents or configuration issues impacting validation or customer environments. • Coordinate triage and resolution across product, engineering, and QA teams. • Maintain an incident log to track root causes, timelines, and follow-up actions. • Communicate incident status, timelines, and resolutions to stakeholders and customers. • Organize post-incident reviews to capture lessons learned and process improvements. Required Skills & Experience • 4–7 years of professional experience in technical operations or program management. • Strong organizational and project-tracking skills with the ability to manage multiple concurrent workstreams. • Familiarity with software or data pipelines, validation workflows, and customer onboarding processes. • Proficiency with project tracking and documentation tools (e.g., Jira, Confluence, etc). • Ability to interpret and work with technical artifacts such as JSON schemas, configuration files, or pipeline logs. • Experience defining and monitoring operational metrics and translating data into process improvements. • Excellent written and verbal communication skills; comfortable interfacing with both engineers and external stakeholders. • Highly detail-oriented with a process-driven mindset and bias for follow-through. • Comfortable leveraging AI tools to augment and optimize day-to-day tasks. • Comfortable working in small, fast-moving technical teams. Ideal Candidate Traits • Hands-on and detail-oriented, with the ability to thrive in a fast-moving startup environment. • A “get it done” attitude and proven track record of taking ownership over workstreams. • Comfortable managing priorities across multiple operational responsibilities. • Collaborative and able to communicate effectively with both technical and non-technical stakeholders. Nice to Haves • Experience in AI, ML, or data-centric software organizations. • Exposure to customer delivery or onboarding processes in SaaS or AI pipeline contexts. • Familiarity with CI/CD concepts, data validation frameworks, or release management. • Prior experience helping scale or formalize technical operations in a growing startup or consulting environment. Originally posted on Himalayas