Responsibilities
- Lead the IT organisation: Own strategy, roadmap, budget and vendor landscape for all of internal IT: support, business applications, integrations, automation, and internal AI tooling.
- Lead, grow and develop the IT Support and IT Tooling & Automation teams; be the escalation point and the standard-setter for both.
- Run IT as a product for employees: measure the experience (SLIs/SLOs on the things that matter to Zytans), publish what you ship, and prioritise by business leverage.
- Own the business application landscape: Administer, integrate and continuously rationalise our business-critical SaaS systems: CRM and marketing (Salesforce, HubSpot), finance and billing, HR platforms, support platforms, and collaboration and engineering tools (Google Workspace, Slack, Atlassian, GitHub, Notion).
- Design reliable, API-driven workflows and data synchronization across platforms - one coherent, automated architecture instead of a pile of disconnected tools.
- Own vendor selection, consolidation, licensing and renewals with a clear cost-versus-value view.
- Automate everything worth automating: Champion a code-first automation culture: scripts, internal services, event-driven pipelines (APIs and webhooks), internal CLI tools and ChatOps - not just SaaS configuration.
- Build and evolve the internal 'IT Golden Path': automated onboarding and offboarding, identity and access provisioning, and self-service for the common 80% of IT requests.
- Set the technical bar for the IT Tooling & Automation pod and review its designs; contribute hands-on where it moves the needle.
- Lead internal AI tooling and adoption: Own the company's internal AI tool portfolio (AI coding assistants such as Claude Code and Copilot, chat and agent platforms, AI features inside our SaaS estate): evaluation, procurement, account and seat administration, usage and cost governance, and lifecycle.
- Ship AI into internal workflows: AI-powered support assistants, LLM-driven knowledge retrieval across internal documentation, automated ticket triage and resolution, and agentic automation of operational processes.
- Partner closely with the AI Enablement function and the AI champions network: IT provides the tools, access, guardrails and administration; enablement embeds them into each team's daily work.
- Define the sensible-use guardrails together with Security and Legal (data handling, model and vendor policies) so teams can move fast safely.
- Measure adoption and return: usage and cost analytics per tool and team, and a clear view of where AI actually saves time or removes work.
- Run IT service management, security and compliance: Deliver superior, person-first IT support to a global, remote workforce, with root-cause analysis rather than symptom-fixing.
- Own the employee identity and device backbone: SSO/SAML/SCIM provisioning, identity lifecycle automation, MDM (JumpCloud), password management and access audits under Zero Trust principles.
- Partner with Information Security to keep us continuously compliant (ISO 27001) and audit-ready, embedding compliance into automated processes instead of manual checklists.
Requirements
- 10+ years in IT engineering, business systems engineering or internal platform engineering at SaaS/tech companies, including 3+ years leading a team that owned internal business systems and automation.
- A hands-on engineering background you have kept alive: you can still read, review and (when needed) write automation code in Python or a comparable language, and you are fluent with APIs, webhooks, OAuth flows and integration frameworks.
- Proven ownership of a modern SaaS business application landscape (e.g. Salesforce or HubSpot, billing/finance systems, HR platforms, Google Workspace, Slack, Atlassian, GitHub, Notion) including cross-system integration and data synchronization at company scale.
- Demonstrated delivery of AI tooling into an organisation: LLM-based assistants, knowledge retrieval, AI-assisted support or agentic workflow automation - including the unglamorous parts (account administration, seat and usage governance, cost control, guardrails).
- Deep identity and security experience: SSO/SAML/SCIM, identity lifecycle automation, MDM (e.g. JumpCloud), Zero Trust access models.
- Experience supporting or passing security and compliance audits (ISO 27001, SOC2, GDPR).
- Vendor and budget management experience: selection, negotiation, consolidation and license management across a substantial SaaS portfolio.
- Experience serving a remote-first, globally distributed workforce with a person-first service philosophy.
- Excellent communication in English, across technical and non-technical audiences up to executive level.
Nice to Have
- Experience with agentic platforms and protocols (e.g. MCP), the Claude / Gemini Enterprise / OpenAI / Copilot ecosystems, or building internal agents on LLM APIs.
- FinOps-style governance of AI and cloud spend (usage analytics, per-seat economics, chargeback or showback).
- An SRE mindset applied to internal IT: SLIs/SLOs on the 'uptime' of the employee experience.
- Experience consolidating tool landscapes after growth or M&A.
Benefits
- Become part of a self-motivated, progressive, multicultural team.
- Have total flexibility: we are 100% remote, work from where you are most productive.
- Join an innovation culture: we encourage 'hacking' internal processes - if a task is manual, we want you to automate it.
- Work with a modern tool and AI stack, with the freedom and budget to shape it.
- Shape a strategic area of the business with high visibility and real impact.
Work Arrangement
Remote (Worldwide) — remote
What Success Looks Like
- Employees are unblocked fast and onboarding/offboarding runs itself: measurable service levels, near-zero manual provisioning.
- The business application landscape is consolidated, integrated and documented - data flows between systems without swivel-chair work.
- AI tools are genuinely adopted across the company with governed cost and measurable time savings - and Zyte is visibly ahead of the curve in how a company runs itself on AI.
- Manual internal work keeps disappearing: every quarter, processes that used to need a person are automated or agent-assisted.
- Audits pass without heroics, and security posture improves while friction goes down.
- The IT team grows in capability and reputation: an engineering team the rest of the company wants to work with.
You Are
- A builder-leader: You have led IT, business systems or internal platform teams, and you still think like an engineer. You lead from the front, set a high technical bar, and are happiest when your team ships things that make work disappear.
- AI-driven: You are genuinely excited about running a company on AI. You have rolled out AI tooling to real teams, you experiment constantly yourself, and you have a strong point of view on what works, what is hype, and how to govern usage and cost without killing adoption.
- Automation-obsessed: Manual, repetitive work offends you. Your default answer to a recurring task is a script, a service, an integration or an agent - and you know when the pragmatic answer is a SaaS checkbox instead.
- People-centric: You solve for the person, not just the machine. You communicate clearly with everyone from new joiners to the C-level, and you build a service culture your colleagues actually like dealing with.
- Security-minded: You understand the 'why' behind security frameworks, MDM and Zero Trust, and you balance safety with organizational speed.
- Commercially sharp: You treat the internal stack like a portfolio: you negotiate with vendors, consolidate overlapping tools, and can always say what something costs and what it returns.
Additional Information
- Language: English required.
- Remote-first, globally distributed workforce.