CRM Solutions Engineer Job at Fever (Madrid)

CRM Solutions Engineer

We’re Fever, the world’s leading tech platform for culture and live entertainmen...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

You have a bachelor's in engineering (civil, industrial, telecommunications, or aeronautics) or a background in maths, statistics, data analytics, or strategy
At least +3 years of experience in a business analytics role
A high level of English. Spanish is a plus
Proven experience in Salesforce Marketing Cloud or any other similar marketing automation platform
Experience in strategy consulting and strategy or analytics roles at top tech firms is a significant advantage
Data-driven person who brings numbers to strategic and business decisions
Generate high business impact based on your decisions
Excellent interpersonal skills with a proven ability to manage and influence multiple stakeholders while working effectively across teams, disciplines, and business cases
Understanding any coding language is preferred (SQL, R, Python…)
Proactive problem-solver and an opportunity-seeker

Job Responsibility

Lead global CRM initiatives focusing on its growth and development
Strategic Campaign Design & Execution: Lead the planning, creation, and execution of CRM campaigns across multiple channels (email, push notifications, SMS, WhatsApp), aimed at engaging, retaining, and growing the user base and the revenue generated through these channels
Data-Driven Optimization: Analyze user behavior, campaign performance, and customer feedback to continuously improve messaging, segmentation, and overall CRM effectiveness
Cross-Functional Collaboration: Work closely with marketing, product, and data teams to align CRM strategies with business goals, ensuring a seamless and personalized user journey across all touchpoints
Being a Growth Manager at Fever means taking full ownership of the results, evolution, goals, and strategic decisions within a specific business line
Take part in the exponential growth of fever by taking the lead on global projects that will define the future of the entertainment industry
Enhance the overall company performance across different business departments which work together in the creation of new plans and events
Define and establish new strategies to increase performance using analytical, business and strategic skills
Design end-to-end solutions with daily high impact
Create, develop and manage new projects like new business streams, workflows, strategies, and specific departments' growth

What we offer

Have a real impact on the company's growth and evolution
Excellent working conditions with a location in the heart of the Madrid scene
Home-office friendly
Great work environment with a young, international team of talented people to work with
40% Discount on all events on Fever
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
We have free food, drink, and fruit at the office!
Possibility to receive in advance part of your salary by Payflow
Gympass Membership

Fulltime

Digital Operations Engineer – Web Solutions & CRM

An opportunity for an IT Operation Specialist (m/f) for CRM domain has arisen wi...

Location

Spain , Albacete

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

Significant experience (3 to 5 years minimum) in a similar position (Ops, Production Engineer, Technical Service Delivery Manager) on both On Premise and SaaS
Analytical mindset to quickly diagnose complex situations and prioritize emergencies
Comfortable interacting with infrastructure technicians or development teams as well as business stakeholders or external providers
Advanced level in English
Organized, detail-oriented, and have a strong culture of documentation and process (ITIL certification is a plus)
High level of autonomy, proactive communication skills, and the ability to build trust remotely
Technical Expertise: Expertise in ServiceNow (Incident management, Change management, CMDB)
Administration of Windows & Linux Servers, understanding of virtualized environments, knowledge of containerization solutions (OpenShift, Kubernetes, Docker)
Ability to manage routine operations and optimization (SQL Server or equivalent)
Broad knowledge of infrastructure concepts (Active Directory, Load balancing F5, Firewall rule management)

Job Responsibility

Run & Support Steering (Incident & Problem Management): Manage the daily 'Run' operations, steering of technical support (Level 2/3), and coordination of resolutions
Act as the primary point of contact for our managed service providers
Guarantee compliance with Service Level Agreements (SLAs)
Technical Management & Maintenance in Operational Condition (MCO): Manage the technical lifecycle of our products, monitoring obsolescence and planning version upgrades
Ensure the robustness of the hosting environments (On-premise & Cloud) to support high-traffic events on customer portals
Processes, Quality & Continuous Improvement: Audit current support workflows, identify bottlenecks, and propose continuous improvement plans
Implement and monitor strict Performance KPIs
Lead follow-up committees and produce consolidated activity reporting for management
Knowledge Management: Ensure constant updating of technical and architecture documentation
Maintain the Knowledge Base to facilitate autonomy for L1/L2 support

What we offer

Vacation days plus additional days-off along the year (Apróx. 35 days per year in total)
Attractive salary
Hybrid model of working
Collective transport service subject to working calendar/home location
Benefits such as life insurance, health insurance, employee stock options, retirement plan, or study grants
On-site facilities (among others): free canteen, kindergarten, medical office
Possibility to collaborate in different social and corporate social responsibility initiatives
Excellent upskilling opportunities and great development prospects in a multicultural environment
Option to access special rates in products & benefits

Fulltime

AI Solutions Engineer

The AI Solutions Engineer at NTT DATA will be responsible for developing and dep...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
Hands-on expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
Demonstrated experience implementing prompt engineering methodologies and optimizing model performance
Demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
Experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
Demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
Proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
Experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions

Job Responsibility

Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices

Fulltime

AI Solutions Engineer

The AI Solutions Engineer at NTT DATA is responsible for developing and deployin...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
Hands-on expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
Demonstrated experience implementing prompt engineering methodologies and optimizing model performance
Demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
Experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
Demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
Proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
Experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions

Job Responsibility

Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices

What we offer

Workplace embraces diversity and inclusion
A place where you can grow, belong and thrive

Fulltime

Senior AI Solutions Engineer

The Senior AI Solutions Engineer at NTT DATA is responsible for developing and d...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Advanced demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
Advanced expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
Advanced demonstrated experience implementing prompt engineering methodologies and optimizing model performance
Advanced demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
Advanced experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
Advanced demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
Advanced proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
Advanced experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions

Job Responsibility

Actively participating in identifying high-value use cases, assessing solution feasibility, prototyping innovative ideas, and delivering successful pilot projects
Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle

What we offer

Workplace embraces diversity and inclusion
A place where you can grow, belong and thrive
Part of a Global Top Employer with experts in more than 50 countries

Fulltime

Solutions Engineer

As a Logistics Solutions Engineer, you’ll bridge the gap between our commercial ...

Location

United Kingdom

Salary:

Not provided

Qargo

Expiration Date

Until further notice

Requirements

Based in the UK, fluent in English
Multiple years of relevant experience in a customer-facing role (e.g. support, onboarding, consulting, pre-sales, or similar)
Experience in the transport or logistics sector is essential. Strong understanding of industry processes, workflows, and operational challenges.
Strong communication and presentation skills with both technical and commercial audiences.
A hands-on, analytical approach to problem-solving
Experience with CRM systems (like HubSpot) and demo tooling
Experience in a SaaS environment is a strong advantage
Willing to travel occasionally for on-site demos and customer meetings

Job Responsibility

Deliver engaging technical demos and walkthroughs of the Qargo TMS platform
Tailor demo environments and solution configurations to accurately reflect customer workflows and operational requirements
Analyse customer needs and provide recommendations on product fit, integration requirements, and system usage
Support Business Development Managers with technical scoping and feasibility assessments
Translate customer requirements and sales conversations into structured technical feedback for Product and Engineering teams
Maintain expert-level knowledge of Qargo’s features, roadmap, integrations, and API capabilities
Assist in preparing technical proposals and detailed platform walkthrough documentation
Work closely with Product, Engineering and Customer Success teams to ensure customer requirements are understood and incorporated into product development
Provide input on improving demo tooling, training materials, and customer onboarding processes
Apply transport/logistics domain knowledge to guide customers on best practices

What we offer

A competitive salary package with attractive benefits
A role with responsibility, ownership, and impact from day one
Growth opportunities to match your ambitions
A fast-paced environment where you’ll learn something new every day
A collaborative, international team culture with plenty of energy

Fulltime

GTM Engineer – CRM & Integrations

This is the CRM and integrations engineering role on our GTM Engineering team. A...

Location

India , Gurugram

Salary:

Not provided

Coralogix

Expiration Date

Until further notice

Requirements

5–8+ years of hands-on Salesforce development experience in Sales Cloud and complex multi-cloud environments
CPQ implementation experience strongly preferred — Nue.io, Salesforce CPQ, DealHub, or similar
willingness to develop deep Nue.io expertise rapidly is a must
Strong production Apex experience: trigger frameworks, separation-of-concerns patterns, bulkification, governor limit management
Experience building LWC components and front-end Salesforce interfaces
Hands-on REST/SOAP integration experience including Named Credentials, OAuth, and middleware orchestration
Strong understanding of Salesforce data model, sharing model, and security architecture
Experience with SFDX, Git-based workflows, and CI/CD deployment pipelines (Copado, Gearset, or GitHub Actions)
Experience working with Salesforce APIs (Bulk API, Streaming API, Metadata API) for cross-system integrations
Exposure to AI-assisted development tools and automation orchestration platforms a plus

Job Responsibility

Implement Nue.io CPQ as the primary builder — configuring and engineering product catalog, pricing rules, discount frameworks, quoting workflows, and approval processes
Build Nue.io integrations with Salesforce CRM, DocuSign CLM, billing systems, and finance/ERP stack
Develop quoting automation, contract generation, and order management workflows
Partner with Finance and Revenue Operations to encode pricing logic and deal structure rules into the CPQ system
Own post-go-live CPQ maintenance and iteration as the revenue model evolves
Implement scalable Salesforce automation and custom logic aligned with architectural standards set by the Salesforce Architect
Write production-grade Apex code including trigger frameworks, batch jobs, queueable processes, and platform events
Build and maintain Lightning Web Components (LWC) for internal GTM tool interfaces
Design and maintain complex object models, data relationships, permission structures, and sharing models
Support sandbox management, structured deployments, and CI/CD processes

Fulltime

Solutions Engineer

Drive growth at Qargo as one of the founding Solutions Engineers in Chicago, USA...

Location

United States , Chicago

Salary:

Not provided

Qargo

Expiration Date

Until further notice

Requirements

Based in Chicago
Multiple years of relevant experience in a customer-facing role (e.g. support, onboarding, consulting, pre-sales, or similar)
Experience in the transport or logistics sector is essential. Strong understanding of industry processes, workflows, and operational challenges
Strong communication and presentation skills with both technical and commercial audiences
A hands-on, analytical approach to problem-solving
Experience with CRM systems (like HubSpot) and demo tooling
Experience in a SaaS environment is a strong advantage
A valid US drivers license and willingness to travel occasionally for on-site demos and customer meetings

Job Responsibility

Deliver engaging technical demos and walkthroughs of the Qargo TMS platform
Tailor demo environments and solution configurations to accurately reflect customer workflows and operational requirements
Analyse customer needs and provide recommendations on product fit, integration requirements, and system usage
Support Business Development Managers with technical scoping and feasibility assessments
Translate customer requirements and sales conversations into structured technical feedback for Product and Engineering teams
Maintain expert-level knowledge of Qargo’s features, roadmap, integrations, and API capabilities
Assist in preparing technical proposals and detailed platform walkthrough documentation
Work closely with Product, Engineering and Customer Success teams to ensure customer requirements are understood and incorporated into product development
Provide input on improving demo tooling, training materials, and customer onboarding processes
Apply transport/logistics domain knowledge to guide customers on best practices

What we offer

A competitive salary package with attractive benefits
A role with responsibility, ownership, and impact from day one
Growth opportunities to match your ambitions
A fast-paced international environment where you’ll learn something new every day

Fulltime

Select Country

CRM Solutions Engineer

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

CRM Solutions Engineer

CRM Solutions Engineer

Digital Operations Engineer – Web Solutions & CRM

AI Solutions Engineer

AI Solutions Engineer

Senior AI Solutions Engineer

Solutions Engineer

GTM Engineer – CRM & Integrations

Solutions Engineer

Our AI answers in your language