Labour AI Specialist

Sona·Hybrid - Londonmid

En corto

→Especialista en IA para optimización de mano de obra en hoteles y tiendas, con enfoque en datos reales del día a día.
→Trabajas en terreno con equipos de clientes, construyendo modelos de turnos que realmente se usan y ganando su confianza.
→Eres el experto clave en ventas y resultados, conectando IA con impacto operativo tangible.

Confident presenting to and winning buy-in from customer executives, general managers and

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¿Qué piden?

✓Experiencia operativa en hostelería, retail o sectores con fuerza laboral horaria y demanda fluctuante.
✓Capacidad para presentar resultados y ganar apoyo de ejecutivos y gerentes de tienda.
✓Confianza con herramientas tecnológicas y capacidad para aprender rápidamente nuevas herramientas, incluida IA.
✓Capacidad para tomar decisiones con base en datos sin guías fijas.
✓Disposición para trabajar en terreno con equipos de clientes y aprender sus realidades operativas.
✓Pasión por usar IA para mejorar la eficiencia operativa y 10x el rendimiento.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Sona's toolingAI toolsoperational dataforecastingschedulinglabour rulesworkload modelsROI analysiscustomer-facing travelcompliance data

¿A quién escribirle en Sona?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Sona Running a frontline business is an operational puzzle most software has never touched. Shift-by-shift labour costs, compliance that changes by region and by role, and margins thin enough that a badly built rota can sink a quarter. It's a harder problem than most white-collar SaaS, and yet frontline sectors employ 80% of the global workforce and have received about 1% of the last decade's software investment. We think that's because the problem needed AI, not just better software, before it was solvable. Frontline organisations sit on enormous amounts of operational data. Used properly, that data lets agents take on real parts of running the business rather than just reporting on it. That's what we're building at Sona, and it's early enough that the systems you build now will still be foundational in three years. We've raised over $100M from N47, Felicis, Gradient and Northzone, signed more than 100 enterprise customers across the UK and US, and opened offices in London, New York, Austin and Lisbon. More on working at Sona here . About the Role Sona's Labour AI team builds the forecasting, rules and scheduling tools that help hospitality and retail businesses get staffing right. Getting the tooling built is one problem. Getting it to actually work for a specific site, with its own trading patterns, staff and quirks, is another. That's what this role owns; working directly with customers to turn Sona's forecasting and scheduling tools into labour models that actually get used on site. You'll derive labour rules from real trading data, spend time on site with customer teams to learn how the business actually runs, and build the trust with site managers that makes a new workload model stick. You'll present the impact and ROI of that work to customer executives and general managers, and act as the subject matter expert for labour optimisation in sales conversations. You'll also be the person site managers trust enough to change how they staff, and the person customer executives and General Managers trust enough to back the changes you're proposing. That's an influence job as much as an analytical one. You'll report back to customer leadership on the impact, in numbers they can take to their own board. There's no fixed playbook here. You'll adapt the same underlying labour model across different business types, from QSR to premium dining to retail. Responsibilities Derive labour rules from real trading data using Sona's tooling and your own operational knowledge Spend time on site with customer teams, learning practical realities like stock deliveries and close-down procedures Build trust with site managers so workload models actually get followed Present impact and ROI to customer executives and general managers, winning buy-in for operational change Act as the labour optimisation subject matter expert in sales conversations Work across the full portfolio of live customer projects, picking up work as priorities shift between accounts Requirements An operational background in hospitality, retail, or a similar hourly-workforce, fluctuating-demand business. Benefits Salary: £85,000 - £100,000 Hybrid working, 2+ days/week in our London office (Soho), with customer-facing travel Share

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