AI and Automation Deployment Lead, Zinc Work

• ~4+ years in roles centred on AI, automation, operations, or strategy — especially where you identified problems, built solutions, and delivered measurable outcomes
• Direct experience implementing LLM-based solutions or AI/automation tools across multiple business functions
• Strong familiarity with tools like Notion AI, Zapier, Copilot, HR/Legal AI platforms, automations (or equivalents)
• Strong analytical and metrics mindset: able to define what success looks like and measure it
• Excellent communication and stakeholder management: you’ll often be working with non-technical stakeholders in Legal, Finance, People, etc
• Proven ownership, self-drive, ability to work independently and get things done

Desirable

• As our first AI & Automation Deployment Lead, you’ll be key to driving how we use AI and automations internally at Zinc
• You’ll lead the charge in embedding automation, copilots, and AI-enabled processes across Ops, Legal, People, GTM, and Finance — making us faster, more consistent, and less error-prone
• You’ll partner with leaders across the business, and with our Tech and InfoSec teams, to deliver AI tools that are compliant, usable, and deliver real measurable value
• You’ll be hands-on, both as a builder and as an enabler, helping teams adopt new ways of working and improving what we already have
• We’ve embedded AI‐enabled tools into multiple core functions and have seen meaningful reductions in manual work, errors, and time-to-task
• Our teams feel confident using AI-enabled tools, and adoption is high
• InfoSec & compliance are fully satisfied for all deployed tools
• The solutions you deliver are scalable and maintainable, balancing speed with quality and governance
• Clear metrics are tracked & reported: e.g. hours saved/week, cost avoided, adoption rates, error reduction
• Diagnosing workflows across Ops, Legal, People, GTM, Finance to identify high-impact opportunities for AI/automation
• Designing, testing, and deploying AI-powered tools (agents, copilots, workflow automations) that improve efficiency and quality
• Taking ownership of InfoSec and compliance requirements for any AI tools or agents adopted
• Collaborating with the Tech team to integrate, extend, or build bespoke AI/automation where off-the-shelf solutions don’t cut it
• Leading the uptake across teams: training, documentation, evangelism, and helping people become fluent with AI tooling
• Defining, tracking, and reporting on KPIs related to adoption, time saved, error reduction, and business impact

• Video exchange
• Talent Discovery call
• Google Meets Interview
• Final In-Person Interview
• Hired