Auxiliar de Aeropuerto at Alma

Las Palmas of Gran Canaria, Canary Islands, Spain

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€16,800 – €16,800Compensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Transportation, AviationIndustries

Requirements

Residir cerca del centro de trabajo (Aeropuerto de Gran Canaria, Agüimes)
Buen manejo de nuevas tecnologías
Nivel de inglés medio para poder mantener una conversación
Se valorará tener experiencia previa en empleos de atención al cliente y venta

Responsibilities

Atención al cliente en el parking del aeropuerto de Gran Canaria
Chequeo de la reserva del autobús
Atender consultas
Brindar información al cliente
Atender reclamaciones

Skills

Key technologies and capabilities for this role

Customer ServiceReservation CheckClient ConsultationInformation ProvisionComplaint HandlingAirport Operations

Questions & Answers

Common questions about this position

What is the salary for this position?

The salary is 1.400€ brutos/mes (pagas extras incluidas).

Where is the work location and what is the schedule?

The center of work is at the Aeropuerto de Gran Canaria in Agüimes. It is a full-time rotating schedule approximately from 08:00 to 16:00 and 16:00 to 00:00, with 2 rotating days off per week.

What skills or qualifications are required for this role?

Candidates must reside near the work center, have good handling of new technologies, and a medium level of English to hold a conversation. Prior experience in customer service and sales is valued.

What does the company culture emphasize?

The company values innovation, diversity, sustainability, and inclusion, believing that a diverse team is key to success and quality service.

What makes a strong candidate for this position?

A strong candidate resides near Agüimes, has customer service or sales experience, handles new technologies well, and has medium English proficiency to assist airport customers effectively.

Alma

Digital platform connecting clients with therapists

About Alma

Alma connects individuals seeking mental health services with a variety of therapists through its digital platform, helloalma.com. The platform primarily serves clients looking for therapy for issues like anxiety, depression, personal growth, and relationship challenges. Alma's approach focuses on making therapy more affordable by partnering with insurance companies, allowing clients to save an average of 77% on therapy costs. This affordability is a key aspect that sets Alma apart from other mental health services. Additionally, Alma supports therapists by offering resources for continuing education and professional development, ensuring they are well-prepared to assist their clients. The company emphasizes the importance of the client-therapist relationship, aiming to match clients with therapists who best meet their individual needs. Alma operates on a membership model, where therapists pay a fee to access the platform's resources and client base.

New York City, New YorkHeadquarters

2018Year Founded

$214.5MTotal Funding

SERIES_DCompany Stage

HealthcareIndustries

1,001-5,000Employees

Benefits

Remote Work Options

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Wellness Program

Home Office Stipend

Parental Leave

Paid Holidays

Unlimited Paid Time Off

Risks

Increased competition from platforms like Headway and SonderMind could impact Alma's market share.

Rapid expansion to 8,000 providers may challenge service quality and support.

Regulatory changes in telehealth reimbursement policies could affect Alma's business model.

Differentiation

Alma partners with insurance companies to make therapy more affordable for clients.

The platform offers a comprehensive suite of tools for therapists, including scheduling and billing.

Alma emphasizes client-therapist matching to ensure personalized and effective therapy sessions.

Upsides

Alma raised $130 million in Series D funding to expand its platform and services.

The decreasing stigma around mental health is increasing demand for Alma's services.

Alma's integration of AI can enhance client-matching algorithms and service delivery.

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