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