技术运营负责人

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