Presales AI & Data Job at Inetum (Warsaw)

Presales AI&Data

As a Data & AI Presales Expert, you will play a critical role in driving busines...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Science, Engineering, or related field
3 years presales/technical consulting experience in AI/Data
Ability to lead workshops, Proof of Concepts (POCs), and technical demonstrations
Strong understanding of AI/ML concepts and data technologies
Experience with cloud AI/data services (AWS, Azure, GCP)
Fluency in Polish and professional English

Job Responsibility

Understand customer needs and translate them into AI/data solutions
Develop and present technical proposals and demonstrations
Design solution architectures and collaborate with internal teams
Act as a technical expert and advocate for our AI/data offerings
Support sales efforts, including RFPs/RFIs
Manage technical aspects of PoCs and pilot projects
Stay updated on AI/data trends and competitor landscape

What we offer

Flexible working hours
Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists
Ongoing guidance from a dedicated Team Manager for each employee
Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
A supportive and inclusive work culture with an emphasis on diversity and mutual respect

Fulltime

AI & Data Junior Consultant

The AI & Data Junior Consultant is a customer facing role to provide AI & Data t...

Location

Spain , Las Rozas, Madrid

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree (Computer Science, Electrical & Computer Engineering, Mathematics, Physics, or related fields)
Completed or undertaking master's degree study specialized in Artificial Intelligence & Machine Learning or Data Science
Knowledge of programming languages such as Python, SQL, R, Java, C, Unix Shell scripting
Conceptual understanding of Information Technology (IT) environments
Passion for new and emerging AI and Data technologies
Willingness to participate in international projects and availability to travel
Active listening skills and ability to adjust messages to audience level
Problem-solving skills (proactive, reactive, and creative)
Able to produce basic documentation that meets required standards
Demonstrate understanding of assigned discipline or technical area

Job Responsibility

Responsible for delivery of assigned tasks within the project lifecycle
Understand the company's technology portfolio and deliver technical design that meets customer requirements
Developing advanced analytics and ML/DL models
Implementing data engineering pipelines
Integrating AI & Data product ecosystem
Applying MLOps best practices and tools
Contributing to the design of AI and Data technical solutions with moderate risk/complexity
Work under supervision of the technical lead and with customer nominated representatives
Integrate technical knowledge and business understanding to create solutions for customers
Apply company solutions to meet moderately complex customer needs

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Career development opportunities
Specific programs to help reach career goals
Flexible work arrangements
Competitive salary
Excellent compensation and benefits package

Fulltime

AI & Data Junior Consultant

The AI & Data Junior Consultant is a customer facing role to provide AI & Data t...

Location

Spain , Las Rozas, Madrid

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree (Computer Science, Electrical & Computer Engineering, Mathematics, Physics, or related fields)
Completed or undertaking master's degree study specialized in Artificial Intelligence & Machine Learning or Data Science
Knowledge of programming languages such as Python, SQL, R, Java, C, Unix Shell scripting
Conceptual understanding of Information Technology (IT) environments
Passion for new and emerging AI and Data technologies
Willingness to participate in international projects and availability to travel
Active listening skills and ability to adjust messages to audience level
Problem-solving skills (proactive, reactive, and creative)
Able to produce basic documentation that meets required standards
Demonstrate understanding of assigned discipline or technical area

Job Responsibility

Responsible for delivery of assigned tasks within the project lifecycle
Understand the company's technology portfolio and deliver technical design that meets customer requirements
Develop advanced analytics and ML/DL models
Implement data engineering pipelines
Integrate AI & Data product ecosystem
Apply MLOps best practices and tools
Contribute to the design of AI and Data technical solutions with moderate risk/complexity
Work under supervision of the technical lead and with customer nominated representatives
Integrate technical knowledge and business understanding to create solutions for customers
Apply company solutions to meet moderately complex customer needs

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Personal & Professional Development programs
Unconditional Inclusion
Flexible work environment
Career development opportunities
Specific training programs
Excellent compensation and benefits package

Fulltime

AI & Data Junior Consultant

The AI & Data Junior Consultant is a customer facing role to provide AI & Data t...

Location

Spain , Las Rozas, Madrid

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree (Computer Science, Electrical & Computer Engineering, Mathematics, Physics, or related fields)
Completed or undertaking master's degree study specialized in Artificial Intelligence & Machine Learning or Data Science
Knowledge of programming languages such as Python, SQL, R, Java, C, Unix Shell scripting
Conceptual understanding of Information Technology (IT) environments
Passion for new and emerging AI and Data technologies
Willingness to participate in international projects and availability to travel
Active listening skills and ability to adjust messages to audience level
Problem-solving skills (proactive, reactive, and creative)
Able to produce basic documentation that meets required standards
Demonstrate understanding of assigned discipline or technical area

Job Responsibility

Responsible for delivery of assigned tasks within the project lifecycle
Understand the company's technology portfolio and deliver technical design that meets customer requirements
Developing advanced analytics and ML/DL models
Implementing data engineering pipelines
Integrating AI & Data product ecosystem
Applying MLOps best practices and tools
Contributing to the design of AI and Data technical solutions with moderate risk/complexity
Work under supervision of the technical lead and with customer nominated representatives
Integrate technical knowledge and business understanding to create solutions for customers
Apply company solutions to meet moderately complex customer needs

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Career development opportunities
Excellent compensation and benefits package
Unconditional Inclusion environment
Flexibility to manage work and personal needs

Fulltime

Presales Architect Latam - Private Cloud AI

Presales Architect role focused on HPE Private Cloud for Artificial Intelligence...

Location

Mexico , Mexico City

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

First-level university technical degree or equivalent technical qualifications
4–8 years of technical experience in IT with focus on technical consulting and solution selling
Hands-on proficiency in Python
Deep knowledge of Spark
Experience with big data orchestration tools like Presto or Kubeflow
Knowledge of high-value AI platforms including Nvidia AI Enterprise software, GenAI, and Llama models
Experience participating in solution configurations and creation of demos and proofs-of-concept
Working knowledge with as-a-service (aaS) business model
Written and verbal communication skills in English and Spanish
Business and financial acumen

Job Responsibility

Architect solutions to achieve customer business outcomes
Develop and articulate compelling proposals
Provide technical expertise to sales teams and customers
Track industry trends and emerging technologies
Design and deliver solutions aligned to customer's business requirements
Participate in deep-dive discussions and articulate value proposition
Collaborate with account team leadership to develop key value propositions
Map the right partner to opportunities
Proactively build pipeline by identifying opportunities
Document ongoing work throughout sales cycle

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Director, Cloud Transformation, Data and AI Presales

The Director, Cloud Transformation, Data and AI Presales Leader will drive strat...

Location

United States

Salary:

202100.00 - 355410.00 USD / Year

Rackspace

Expiration Date

Until further notice

Requirements

Experience in presales leadership, solution architecture, and advisory for AI/Data/Cloud Transformation in US and UK markets
Proven record of securing multi-million-dollar transformational deals
Deep technical expertise in AI, Data Engineering, App Modernization, Managed Services, Cloud Migration
Experience with technology partners and hyperscalers
Strong business acumen and stakeholder management
Excellent communication and negotiation
Demonstrated team-leadership capability
Experience building offerings, GTM strategies, and enablement programs
Bachelor's or Master's degree
MBA preferred

Job Responsibility

Work with sales leaders to synthesize GTM motions that can scale effectively across regions
Lead and mentor advisory, enterprise, and solution architects with a complete client-outcome mindset
Coach junior architects on customer engagement, deal strategy, and elevating technical conversations to business outcomes
Build methodologies for value-driven POCs and repeatable frameworks
Develop and deliver sales enablement programs and training
Establish governance across AI, analytics, and data-modernization presales motions to ensure consistency with the Solution Director framework
Define cross-portfolio qualification criteria ensuring AI initiatives map to underlying data platform readiness
Lead complex transformational sales engagements and multi-discipline solution teams
Engage directly with CxO-level stakeholders
Conduct discovery engagements to define business problems and identify value opportunities

Fulltime

PreSales Engineer

As a PreSales Engineer with the Everseen Go-To-Market Team, you will own the tec...

Location

United States , Boston / Fairfax County, VA

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

5+ years in technical sales, presales or solution engineering roles working with enterprise level customers and on SaaS based products, solutions or services
Knowledge of and interest in AI and its use in retail
Knowledge and experience of the retail market
Experience of advanced data analytics
Experience of forecasting and tracking key account metrics in a business development team
Experience of developing relationships, communicating and working with customers at a technical level
Strong verbal and communication skills
Expectation of travel
Extensive experience working with Linux systems, including Bash scripting, package management, and log analysis
Proficient in containerization technologies such as Docker and Podman, and have hands-on experience with Kubernetes orchestration, Helm charts, and multi-tenant policies

Job Responsibility

Deliver compelling, customized demonstrations of our technology to technical and business stakeholders
Own the technical components of the sales process, ensuring a seamless and informed sales journey
Engage directly with customer CTOs and technical leaders to build trust and instill confidence in our solution’s capabilities and fit
Work collaboratively with others in the sales team to define tailored technical solutions that align with customer needs and business goals
Help drive the sales process in partnership with the Go-To-Market team
Act as the subject matter expert (SME) on our product, delivering deep technical insight, and advice on the data insights gained
Provide technical expertise through presentations, solutions designs, demonstrations and proof of concepts via various mediums
Provide ongoing technical consultation, addressing complex questions and objections with authority and clarity
Translate customer requirements into solution architecture, clearly articulating how our platform solves real-world problems and the insights it generates
Provide excellent customer service anticipating and meeting the needs of the customer head on

Fulltime

PreSales Engineer

As a PreSales Engineer with the Everseen Go-To-Market Team, you will own the tec...

Location

Australia , Sydney; Melbourne

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

5+ years in technical sales, presales or solution engineering roles working with enterprise level customers and on SaaS based products, solutions or services
Knowledge of and interest in AI and its use in retail
Knowledge and experience of the retail market
A true passion for delivering best-in-class customer experience
Demonstrated success in positioning, presenting and demonstrating new products and features
Ability to develop a comprehensive understanding of customer culture, needs and requirements in the Australia - New Zealand region
Experience of advanced data analytics
Experience of forecasting and tracking key account metrics in a business development team
A drive to meet and exceed targets and goals
Experience of developing relationships, communicating and working with customers at a technical level

Job Responsibility

Deliver compelling, customized demonstrations of our technology to technical and business stakeholders
Own the technical components of the sales process, ensuring a seamless and informed sales journey
Engage directly with customer CTOs and technical leaders to build trust and instill confidence in our solution’s capabilities and fit
Work collaboratively with others in the sales team to define tailored technical solutions that align with customer needs and business goals
Help drive the sales process in partnership with the Go-To-Market team
Act as the subject matter expert (SME) on our product, delivering deep technical insight, and advice on the data insights gained
Provide technical expertise through presentations, solutions designs, demonstrations and proof of concepts via various mediums
Provide ongoing technical consultation, addressing complex questions and objections with authority and clarity
Translate customer requirements into solution architecture, clearly articulating how our platform solves real-world problems and the insights it generates
Provide excellent customer service anticipating and meeting the needs of the customer head on

Fulltime

Presales AI & Data

Inetum

Location:
Poland , Warsaw

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 01, 2025

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