Head of AI Ops, Coverflex

• Languages: English (main) / Portuguese, Spanish or Italian a plus
• → You've led AI or automation adoption across a whole company, beyond one team, and can show what changed because of it
• → You build with AI tools yourself (agents, skills, prompts, orchestration platforms), and other people use what you built
• → You've owned a budget or an investment case and defended it to executives with evidence
• → You've set priorities across departments that don't report to you, and made them stick
• → You know AI governance and risk well enough to draw the line and hold it: data handling, access, vendor review and audit trails
• → You measure: a baseline before you change something, and proof afterwards
• → You've worked in fast scale-ups and remote-first teams, with a lot of autonomy
• Curious about how other people's work gets done, more than about models
• Fine being the person who knows least about a domain, and asking the obvious question anyway
• Doesn't trust a number that only looks good
• Says "we're not doing that" early, before it rots in a backlog
• Likes building, including the safety net
• Can tell real risk from theoretical risk, and doesn't add process for its own sake

Desirable

• Type: Leadership of a small central team while staying hands-on
• Reports to: Rui Carvalho, COO
• Main Tools:
• → Claude (Projects, Skills, Plugins) and Notion AI agents
• → n8n / Make or similar orchestration, plus MCP connectors
• → SQL, Claude Analytics and Datadog for usage, cost and impact measurement
• → Scripting (TypeScript or Python) helps, because you should be able to build things yourself
• You lead a small team and decide where it goes. Teams keep their own AI work and pull AI Ops in when they need it, so when two teams want the same people at the same time, you choose. AI Ops doesn't approve anyone's work. It joins a team for a few days, a week or more, builds with them, and hands it back when it's solid. It also looks across everything we build with AI, so other teams can reuse what works
• You own the investment case too: what we spend on AI, what it returns, where we waste it and what we stop doing. When management asks about any of it, you're the one who answers, with evidence
• You'll know you're successful when, after 90 days, you've…
• Built the first honest picture of AI at Coverflex: spend by tool and team, what runs in production, who depends on it and what it returns
• Set a priority order across departments and held it, including a "not yet" to at least one senior stakeholder, with a reason they accept
• Got something live in at least three departments that the department itself now runs
• Made what already exists findable and reusable, so the second team to need something doesn't rebuild it
• Agreed a written governance line with Engineering, Security and Legal: what needs a guardrail, what needs review, and what teams can do freely
• How we'll measure success:
• Workflows that changed for good across departments (we don't measure adoption rates or licence counts here)
• Return on AI spend, with evidence: time saved, cost avoided and better quality
• Reuse: share of new department AI work that starts from an existing pattern instead of from scratch
• Coverage of business-critical automations that have a named owner, a defined expected behaviour and an alert path
• Time from "a department asks" to "someone is working with them", because this team can't become a queue

• No cover letter required
• Apply with your LinkedIn or upload your CV
• You may be asked a few short, relevant questions
• Total candidate time investment: ~9 hours end-to-end, including ~4 hours on the case
• Depending on holidays, we might run some stages in a different order
• 1. CV / LinkedIn Screen — Signal check vs must-haves
• You'll hear from us within 7 business days
• 2. Hiring Manager Interview (COO) - Mandate, judgement and how you operate without authority • 45–60 min
• 3. Behavioural Interview - With People • 30–45 min
• 4. Stakeholder Conversation - With two or three of the people you'd work with: AI Product, Engineering and a department lead • 45–60 min
• This role only works through people who don't report to you, so they get a say. It's a two-way conversation: they're judging whether they'd pull you in, and you're finding out what you'd be walking into
• 5. Case / Work Sample - Your 90-day AI strategy for Coverflex • about four hours to prepare, then 90 min with three of us
• 6. Final Conversation (CEO / C-Level) — Values, strategy and growth • 30–45 min
• Decision: within 4 weeks of your application
• Updates: weekly if the process runs longer
• Scheduling: interviews between 9:00 and 18:00 CET (flexible across Europe)
• Feedback: from the Case stage onwards, you'll always receive written or verbal feedback - what went well, and what to strengthen next time