Presales AI & Data

As a Presales AI & Data Expert at Inetum Polska, your main responsibilities include understanding customer needs, developing and presenting technical proposals, designing solution architectures, and supporting sales efforts through RFPs and technical demonstrations. You will also manage technical aspects of Proof of Concepts (POCs) and pilot projects, ensuring that solutions align with client requirements.

To qualify for the Presales AI & Data position at Inetum Polska, you need a degree in Computer Science, Data Science, Engineering, or a related field, coupled with at least 3 years of presales or technical consulting experience in AI/Data. Additionally, strong knowledge in AI/ML concepts and data technologies, along with experience in cloud AI/data services such as AWS, Azure, or GCP, is essential.

Inetum Polska is dedicated to employee development, providing comprehensive support through tailored mentoring, ongoing guidance from Team Managers, and fully funding training and certifications. As a Presales AI & Data Expert, you will have access to various resources to enhance your skills while adapting to the latest technological advancements.

The work environment for a Presales AI & Data Expert at Inetum Polska is flexible and inclusive. You can enjoy hybrid work models, allowing you to balance time between home and the office. Inetum encourages team-building activities and values diversity, ensuring everyone feels respected and supported within the organization.

As a Presales AI & Data Expert at Inetum Polska, you will work with a diverse range of clients across various industries in Western Europe. This includes collaborating with leading cloud vendors and supporting enterprises interested in implementing advanced AI and data solutions tailored to their specific business needs.

When answering this question, provide specific examples of your previous roles in presales, detailing the types of clients you worked with, the AI solutions you presented, and how you tailored your approach to meet their needs. Highlight any successful outcomes or metrics that demonstrate your impact.

Discuss your methods for gathering information from clients, such as conducting workshops or interviews, utilizing surveys, or analyzing their current systems. Emphasize your ability to translate these insights into effective AI and data solutions, showcasing your analytical skills.

Share a detailed story of a specific POC that you led, explaining the objectives, the process you followed, and the results achieved. Include any lessons learned and how you adapted based on client feedback to ensure a successful outcome.

Explain your strategies for professional development, such as attending industry conferences, participating in workshops, following key thought leaders on social media, or engaging in online courses. Ensure to convey your passion for continuous learning and innovation.

List the cloud AI/data services you've used most frequently, such as AWS, Azure, or Google Cloud Platform. Discuss specific projects where these services were implemented, detailing the advantages they provided and your role in leveraging these technologies.

Reflect on your alignment with Inetum’s values and mission. Emphasize your interest in working within a collaborative and innovative company that focuses on digital transformation. Mention specific aspects of Inetum’s work culture or projects that attract you.

Discuss your approach to objection handling, which typically involves active listening, validating concerns, and providing well-researched responses. Share an example where you successfully turned an objection into an opportunity to strengthen your proposal.

Outline how collaboration with sales teams, technical experts, and clients is crucial in your presales approach. Provide examples of how teamwork has allowed you to design more effective solutions and enhance customer relationships.

Identify key metrics such as conversion rates, client satisfaction scores, and the success rate of POCs. Discuss how these metrics help assess the effectiveness of your strategies and contribute to overall business growth.

Describe a situation where you effectively used storytelling to make complex data or AI concepts relatable to your audience. Highlight the outcome and how this approach positively impacted their understanding and engagement.