Presales AI&Data

As a Presales AI & Data Expert at Inetum Polska, your primary responsibilities include understanding customer needs and translating them into effective AI and data solutions, developing and presenting technical proposals, designing solution architectures, and collaborating with internal teams. You will also act as the technical expert for our offerings, support sales efforts through RFPs/RFIs, manage technical aspects of pilot projects, and stay updated on the latest AI and data trends.

To qualify for the Presales AI & Data position at Inetum Polska, you should have a degree in Computer Science, Data Science, Engineering, or a related field. Additionally, 3 years of experience in presales or technical consulting within the AI/Data domain is vital. Candidates should also have a strong understanding of AI and machine learning concepts, experience with cloud AI/data services, and the ability to lead workshops and technical demonstrations.

The work culture at Inetum Polska is vibrant and inclusive, emphasizing diversity and mutual respect. As a Presales AI & Data Expert, you will benefit from flexible working hours and a hybrid work model that allows you to balance time between home and our modern offices. We also encourage community involvement and provide a dedicated team-building budget, ensuring a supportive environment for all employees.

Inetum Polska is fully committed to employee development for the Presales AI & Data team. We offer ongoing guidance from dedicated Team Managers, tailored technical mentoring based on individual expertise, and full funding for training and certifications. Our aim is to empower you to excel in your role and stay ahead in the rapidly evolving tech landscape.

Typical challenges for a Presales AI & Data Expert at Inetum Polska include navigating rapidly changing technology trends, understanding diverse customer requirements, and maintaining strong relationships with clients while presenting complex AI and data solutions. Balancing these demands with the need for clear communication and collaboration among internal teams is key to success in this role.

When answering this question, highlight specific projects or experiences where you successfully implemented AI and data solutions. Discuss the technologies you used, how you engaged with customers, and the outcomes achieved. Use quantifiable results if possible to showcase your impact.

In your response, emphasize the importance of active listening, asking insightful questions, and conducting thorough needs assessments. Discuss how you translate customer needs into effective technical proposals and how you work collaboratively with sales teams to meet these needs.

Describe a structured approach that includes initial research, aligning the proposal to customer requirements, and crafting clear, engaging presentations. Mention your focus on ensuring that the technical aspects are effectively communicated to non-technical stakeholders.

Focus on various methods you employ, such as following industry publications, attending webinars, participating in forums, and engaging with thought leaders in the field. You may also mention any relevant conferences you attend to keep your knowledge fresh.

Select a specific project where your presales efforts led to a successful outcome. Discuss the challenges faced, your strategic approach, collaboration with teams, customer feedback, and ultimately how your involvement contributed to winning the project.

Emphasize that collaboration is essential in presales for aligning ideas with technical teams, sales, and clients. Discuss how effective collaboration leads to better solutions, stronger proposals, and ultimately higher customer satisfaction.

Explain techniques for objection handling such as active listening, empathizing with the customer’s concerns, and addressing objections with factual evidence or alternative solutions. Highlight your ability to turn objections into opportunities for deeper conversations.

Be specific about your experience with cloud platforms such as AWS, Azure, or GCP, detailing projects where you utilized these technologies. Discuss any certifications and how you applied your skills to optimize AI and data solutions on these platforms.

Walk through the essential steps you would take, including initial research, setting up exploratory meetings, understanding their business challenges, and tailoring your solutions to meet their unique needs. Highlight your interpersonal skills and your focus on building relationships.

Discuss the importance of being able to communicate complex technical concepts in a way that is relatable and easily understood by clients. Highlight how effective communication, combined with technical acumen, is vital for building trust and confidence with customers.