Senior Operations Specialist

What You'll Do

• Take end-to-end ownership of projects that unblock company growth. Any team within the Lightning AI organization could be an internal customer for your ability to understand how teams work, identify friction, build practical solutions, and drive adoption.
• Embed and partner with teams across Lightning AI to understand their pain points and translate them into scalable AI-powered internal tools and products.
• Partner with other embedded operators within the company to augment their projects (RevOps, PeopleOps, SalesOps, LegalOps) and build connective tissue back to the central Ops team.
• Assist the central Ops team with initiatives / programs that we own and operate (Business Health, Internal Communications, Company Event Planning).
• Own Internal Ops documentation to ensure the company has context as to what we do, what we’re working on, and how teams can best engage our support.
• Solve ambiguous, time-sensitive problems (aka fires!) and turn these into opportunities to build durable systems.
• Take a data-driven approach to measuring the impact of what you ship and continuously iterate on what you own.

What Success Looks Like

• By Day 30: Mapped out how the business functions, built cross-functional relationships, and identified pain points for automation or process improvement.
• By Day 60: Shipped meaningful workflows and automations, and taken ownership of time-sensitive projects by embedding in teams.
• By Day 90: End-to-end ownership of cross-functional programs with measurable impact (e.g. internal ops docs, business health reporting, onboarding/offboarding workflows, GTM process cleanup, company comms workflows, or internal tooling).
• Grow as a builder, operator, and leader alongside the company.

Required Qualifications

• 4+ years of experience in operations or consulting (or any high-agency, high-ownership experience).
• Demonstrated end-to-end project ownership – from problem diagnosis and stakeholder alignment through build, launch, and adoption – with clear metrics on impact.
• Track record of diagnosing problems and driving change across multiple stakeholder groups.
• Demonstrated ability to build and deploy AI agents or multi-step automations end-to-end (identify manual workflow, map steps, connect systems, build/prototype, test, iterate).
• Meaningful experience with third-party APIs and SaaS platforms, workflow automation tools (Zapier, Make, n8n, Airflow), and AI coding tools (Claude, Cursor, etc.).
• Strong analytical thinking.
• Prior experience in a high-growth startup environment.

Nice to Haves

• Proficiency in SQL and/or Python for data extraction, analysis, and light scripting.
• Familiarity with the modern data stack (BigQuery, Looker, dbt, Fivetran, or similar).
• Experience in a product-led or developer-tool company.
• Prior experience in a centralized Ops or Center of Excellence model.
• Comfort with lightweight front-end work (HTML/CSS, React basics, or internal tooling platforms like Retool).
• Experience building directly on top of LLM APIs.

Compensation

The anticipated annual base salary range for this role is $140,000–$160,000 USD. In addition to base salary, our total rewards package includes a discretionary bonus, meaningful equity, and comprehensive benefits.