AI & Innovation Lead, G&A
S
SanityContent operations
Remote in the United StatesFull-TimeLead
Salary165,000 - 180,000 USD per year
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Job Details
- Experience
- Ideally 8+ years in Finance, Accounting, People ops, or business operations at a software company.
- Required Skills
- QA AutomationRESTful APIsChange Management
Requirements
- Bring deep domain knowledge of G&A operations.
- Have ideally 8+ years in Finance, Accounting, People operations, or business operations at a software company.
- Have hands-on experience applying AI to G&A work, such as leading a functional AI program, automating a core process, or building agents for a team.
- Be comfortable prototyping with AI coding tools such as Claude Code, Cursor, or similar, and using a terminal.
- Understand APIs, data flows, and how G&A systems such as ERP, HRIS, CRM, contract tools, and data warehouses connect.
- Be familiar with AI operating concepts including agents, tool use, structured context, prompts, evaluations, and automation.
- Prioritize controls, accuracy, auditability, and reliability in systems used by G&A teams.
- Have program management strength to run cross-functional roadmaps, align stakeholders, and deliver change.
- Be able to turn loosely defined business problems into shipped solutions.
- Explain G&A processes to engineers and technical tradeoffs to G&A teams.
Responsibilities
- Shape and execute the AI-first transformation roadmap for G&A, identifying where teams lose time and what to build, buy, or automate.
- Run intake, prioritization, and stage-gates for the G&A transformation portfolio, with clear owners, decision rights, and an executive review cadence.
- Prototype agents, apps, and automations on Sanity’s platform and AI tools, then partner with Systems Engineering to productionize successful work.
- Translate G&A processes into engineering specs and prototypes covering data flows, systems of record, controls, edge cases, and completion criteria.
- Build controls, audit trails, access management, data quality, and human-in-the-loop review into solutions.
- Partner with Data and IT on G&A systems and data infrastructure, connecting G&A systems with the data warehouse.
- Drive adoption across G&A through training and documentation, and help functions use AI and retire manual processes.
- Measure impact using hours saved, cycle times, error and exception rates, adoption, AI evaluations, and stakeholder feedback.
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