About Intent HQ

Recognised by the Financial Times as one of the FT1000 Fast Growing Companies in Europe (2022–2024), and winners of both Analytics Company of the Year 2025 and AI Company of the Year 2024 at the British Data Awards, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. Backed by strong investors and trusted by a blue-chip international enterprise customer base, our mission is to become the world’s preeminent Customer Intent Engine by combining privacy-first signal intelligence, proprietary behavioural AI/ML analytics, and uniquely accessible enterprise insights into a single platform that enables organisations to build more genuine, sustainable, and profitable relationships with customers.

We began by solving complex challenges for clients in the telecommunications sector, including Verizon, O2, and Orange, and have since expanded into Financial Services, Retail, and Social Media, with clients such as HB Reavis and Zurich Group. Our clients typically manage tens of millions of customers and process billions of interactions daily. Our platform is purpose-built to handle data at this enormous scale efficiently, delivering tangible results

What sets us apart is our focus on deep customer interaction data, doing the hard, specialised work so our clients can focus on applying insight to their business strategies.

Today, Intent HQ is home to an exciting, diverse, and fast-growing team of 100+ people across London, Barcelona, Lisbon, Tel Aviv, New York, South Africa & India, collectively speaking over 15 languages.

Recent Awards & Recognition:

• Best AI Ethics & Diversity Award 2025 - AI World Series Awards

• AI Business of the Year 2025 - The National AI Awards

• Analytics Company of the Year 2025 – British Data Awards

• AI Company of the Year 2024 – British Data Awards

• FT1000 Europe’s Fastest Growing Companies 2022–2024 – Financial Times & Statista

• Top 100 Edge Computing Company 2024 – STL Partners

About the Role

The VP, AI Operations is a transformative executive leader responsible for architecting, implementing, and continuously refining the intelligent coordination layer that enables seamless collaboration between human teams and AI agents across the enterprise. In an AI-Native organisation, orchestration is the difference between coherence and chaos—between a collection of siloed capabilities and a synchronised, adaptive, high-velocity organisation.

This role ensures that AI amplifies human potential rather than simply automating tasks. By designing the systems, governance, and workflows that connect people, agents, and platforms into a holistic execution fabric, the VP of Orchestration shapes how work actually gets done. This executive sits at the intersection of technology strategy, operational excellence, and organisational design, unlocking the full force-multiplier effect of human-AI collaboration and enabling levels of organisational velocity impossible in traditional structures.

Core Responsibilities

1. Strategic Orchestration Design

• Architect and evolve the company’s orchestration framework, defining how work flows between humans, AI agents, and hybrid teams across all value streams.
  
  

• Create governance models balancing autonomy and alignment to drive coordinated execution and rapid adaptation.
  
  

• Establish principles, patterns, and protocols for human-AI collaboration at enterprise scale.
  
  

• Map interdependencies across pods, functions, and value streams to identify optimisation opportunities and remove coordination bottlenecks.
  
  2. AI Agent Ecosystem Management

• Oversee the entire portfolio of AI agents, ensuring optimal design, deployment, tuning, and retirement.
  
  

• Define standards for agent capabilities, interfaces, handoff rules, and escalation pathways.
  
  

• Build mechanisms for agents to learn from expert human behaviour and continuously self-improve.
  
  

• Monitor agent effectiveness, utilisation, cost/ROI, and emergent behaviours to drive ongoing optimisation.
  
  

3. Workflow & Integration Architecture

• Design the operational and technical infrastructure enabling seamless handoffs between human and AI work.
  
  

• Create robust feedback loops that surface learnings from both successes and workflow failures.
  
  

• Set integration standards for tools, platforms, and data flows supporting orchestrated execution.
  
  

• Provide transparency into work progress, blockers, dependencies, and resource allocation.
  
  

4. Cross-Functional Coordination

• Partner with pod leads and functional leaders to optimise workflows within and across organisational boundaries.
  
  

• Resolve coordination challenges and workflow conflicts.
  
  

• Champion initiatives that reduce friction and increase organisational velocity.
  
  

• Drive adoption of orchestration best practices across all business units.

5. Performance & Continuous Improvement

• Define and track KPIs for orchestration success, including cycle times, handoff quality, throughput, utilisation, and outcomes.
  
  

• Conduct regular audits to identify inefficiencies, systemic issues, and improvement opportunities.
  
  

• Lead post-mortems on workflow breakdowns to extract cross-organisational learnings.
  
  

• Build organisational capability in adaptive orchestration through training, tooling, and enablement.
  

6. Change Leadership

• Guide the company through the cultural transformation required for effective human-AI collaboration.
  
  

• Equip teams to operate effectively within orchestrated workflows.
  
  

• Manage resistance and build shared understanding of how orchestration enhances—not constrains—work.
  
  

• Communicate wins, celebrate progress, and drive organizational learning.
  
  

7. AI Governance & Ethical Decision-Making

• Ensure AI-driven decisions align with company values and governance principles.
  
  

• Oversee bias detection, monitoring, and correction systems.
  
  

• Partner with legal, compliance, and security teams to maintain responsible AI operations.
  
  

Leadership Scope: Team Management

The VP of Orchestration leads a multidisciplinary group including:

Prompt Architects 

• Craft sophisticated prompt chains for complex workflows.
  
  

• Maintain prompt libraries, optimization frameworks, and quality standards.
  
  

• Translate human business intent into precise AI execution pathways.
  
  

Agent Network Designers

• Architect and evolve AI agent networks.
  
  

• Define interaction protocols, coordination rules, and handoff logic between agents.
  
  

• Monitor system health, emergent behaviors, and network-level performance.
  
  

Required Qualifications

Experience & Background

• 12+ years of progressive leadership experience across operations, strategy, or technology.
  
  

• Proven success designing and scaling complex operational systems.
  
  

• Strong background in organizational design, workflow optimization, or business process transformation.
  
  

• Demonstrated ability to lead cross-functional initiatives with competing priorities and multiple stakeholders.
  
  

• Experience in technology-driven or platform-based organizations is highly valuable.
  
  

Technical Capabilities

• Deep understanding of AI/ML capabilities, limitations, and deployment patterns.
  
  

• Familiarity with modern software architecture, APIs, and integration principles.
  
  

• Competent in data analysis and metric-driven decision-making.
  
  

• Fluent at translating between technical and business domains.
  
  

Leadership & Influence

• Executive presence with ability to influence senior leadership and secure strategic alignment.
  
  

• Exceptional systems thinker capable of recognizing patterns across organizational complexity.
  
  

• Skilled facilitator who unifies diverse perspectives into coherent action.
  
  

• Track record of building high-performing teams and developing talent.
  
  

• Comfort operating in ambiguity and pioneering new organizational models.
  
  

Mindset & Attributes

• Deep curiosity about AI’s role in transforming work.
  
  

• Pragmatic optimist with strong execution discipline.
  
  

• High adaptability and comfort with continuous experimentation.
  
  

• Strong service orientation and commitment to enabling others’ success.
  
  

Success Metrics (First 18 Months)

• 40%+ reduction in cycle time across key value streams.
  
  

• Major increase in successful human-AI handoffs with zero rework.
  
  

• Measurable improvements in resource utilization across pods and functions.
  
  

• 100% adoption of orchestration frameworks across organizational units.
  
  

• Documented efficiency gains demonstrating strong ROI on orchestration investment.
  
  

• High satisfaction scores from human teams and internal stakeholders regarding workflow effectiveness.

Our Culture

Working for Intent HQ, you have the opportunity to work with cutting edge technology in an environment where you are encouraged to think and act outside traditional methods. We are a growing business with a flat structure meaning everyone is visible and able to make an impact, not just in their own role, but across the business on a daily basis. We promote a collaborative, innovative and sociable culture, oriented towards performance and competitive advantage. Our DNA is made up of flexibility to all staff with a family friendly approach and focus on personal development. We have high expectations and pride ourselves on our cultural standards.

Benefits

• Flexible working

• Free breakfast daily (when in the office)

• 26 days holiday (pro rata)

• Pension scheme

• Income Protection with Employee Assistance Programme

• Life Assurance

• Oliva Mental Health platform and counselling

• Higher than statutory maternity/paternity benefits

• Work socials

• Wellbeing programme

• Cycle to work scheme

• Training opportunities