AI & Automation Deployment Lead
AI & Automation Deployment Lead

AI & Automation Deployment Lead

City of London Full-Time 70000 - 80000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead AI and automation initiatives across various departments to enhance efficiency and reduce errors.
  • Company: Join Zinc, a forward-thinking company revolutionising data ownership in hiring.
  • Benefits: Enjoy 24 days holiday, early finish Fridays, and a £1200 annual benefits allowance.
  • Why this job: Be at the forefront of AI innovation and make a tangible impact on business processes.
  • Qualifications: 4+ years in AI/automation roles with strong analytical and communication skills.
  • Other info: Work remotely, enjoy company retreats, and benefit from enhanced parental leave.

The predicted salary is between 70000 - 80000 £ per year.

AI & Automation Deployment Lead

Department: Core Operations

Employment Type: Full Time

Location: Zinc – London

Compensation: £70,000 – £80,000 / year

Description

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.

What success looks like:

  • 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.

Key Responsibilities

  • 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.

Skills, Knowledge and Expertise

Essential Skills and Experience

  • ~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 Skills

  • Programming or prototyping ability (Python, R, scripting) to help with proof-of-concepts.
  • Experience in prompt engineering or fine-tuning LLMs.
  • Experience with BI or analytics tools (SQL, dashboards) to build visibility into workflows.
  • Prior experience at a high-growth startup or scaleup with rapid adoption of new tools/processes.

What we offer

Zinc offers a chance to work on a product that brings a fresh perspective on data ownership in hiring

  • 24 days holiday + Bank Holidays + your birthday off
  • £1200 annual benefits allowance (ThanksBen, from month 2)
  • Early finish Fridays (16:00)
  • Yearly company retreat abroad
  • 30 days to Work from anywhere
  • Enhanced Maternity, Paternity, and Adoption Leave (2 months full pay, then statutory)
  • Statutory pension with NEST (3% employer, 5% employee)
  • Zinc shares, issued through the EMI Scheme
  • Unlimited access to MoreHappi coaching
  • Company socials, quarterly team socials Free Monday lunches
  • Nursery workplace benefit scheme (Yellownest)
  • Option to lease an electric car through Electric Car Scheme
  • Celebrated Zinc anniversaries

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AI & Automation Deployment Lead employer: Zinc

Zinc is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the AI & Automation Deployment Lead role in London. With a strong emphasis on employee growth, Zinc offers extensive benefits such as 24 days of holiday, early finish Fridays, and a generous annual benefits allowance, all while promoting a collaborative environment where your contributions directly impact the company's success. Join us to be at the forefront of AI integration, with opportunities for professional development and a supportive team dedicated to making work more efficient and enjoyable.
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Contact Detail:

Zinc Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI & Automation Deployment Lead

✨Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio or a project that highlights your experience with AI and automation. This gives you something tangible to discuss during interviews.

✨Tip Number 3

Prepare for the interview by researching the company’s current use of AI tools. Tailor your answers to show how you can help them improve their processes and drive efficiency.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace AI & Automation Deployment Lead

AI Implementation
Automation Tools
Workflow Diagnosis
Compliance Management
Stakeholder Management
Analytical Mindset
Metrics Tracking
Training and Documentation
Programming (Python, R, Scripting)
Prompt Engineering
Business Intelligence Tools (SQL, Dashboards)
Collaboration with Tech Teams
Problem Identification and Solution Building
Self-Drive and Independence

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the AI & Automation Deployment Lead role. Highlight your experience with AI tools and automation, and show us how you've made a measurable impact in previous roles.

Showcase Your Skills: We want to see your skills in action! Include specific examples of projects where you've implemented AI or automation solutions. Use metrics to demonstrate success, like time saved or errors reduced, to really grab our attention.

Be Clear and Concise: When writing your application, keep it clear and to the point. Avoid jargon unless it's relevant, and make sure your key achievements stand out. We appreciate straightforward communication, especially since you'll be working with non-technical stakeholders.

Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining the Zinc team!

How to prepare for a job interview at Zinc

✨Know Your AI Tools

Familiarise yourself with the specific AI and automation tools mentioned in the job description, like Notion AI and Zapier. Be ready to discuss how you've used similar tools in past roles and the measurable outcomes you achieved.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've identified problems and implemented AI solutions in previous positions. Highlight your analytical mindset and how you defined success metrics to track improvements.

✨Communicate Effectively

Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you can convey the benefits of AI tools to different teams, ensuring everyone feels confident in using them.

✨Demonstrate Ownership and Initiative

Be ready to share instances where you've taken ownership of projects or initiatives. Discuss how you drove adoption of new tools and processes, and how you ensured compliance and governance were maintained throughout.

AI & Automation Deployment Lead
Zinc

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Z
  • AI & Automation Deployment Lead

    City of London
    Full-Time
    70000 - 80000 £ / year (est.)

    Application deadline: 2027-10-24

  • Z

    Zinc

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