Presales Engineer (Paques)

We are seeking a highly skilled and client-focused Pre‑Sales Senior Engineer or Principal Consultant to drive technical sales engagement and deliver innovative data analytics, AI, and machine learning solutions. This role is central to shaping the technical narrative during the sales cycle, working at the intersection of technology, business strategy, and customer success.

The ideal candidate will combine deep technical expertise in data platforms and analytics with strong communication skills and a consultative mindset. You will act as a trusted advisor to clients while collaborating closely with sales, product, and engineering teams.

Key Responsibilities

• Lead end‑to‑end technical pre‑sales activities, guiding prospects from initial discovery through solution design, proof‑of‑concept (POC), and final proposal delivery.
• Collaborate with sales teams to understand client challenges and translate business needs into scalable, data‑driven solutions.
• Design and deliver compelling technical presentations, demonstrations, and workshops that articulate the value of Paques’ solutions in data processing, analytics, AI, and machine learning.
• Author high‑quality technical responses to RFIs, RFPs, and other procurement documents, ensuring accuracy, clarity, and competitive positioning.
• Develop, customize, and maintain sales enablement assets including solution decks, use case libraries, competitive battle cards, and demo environments.
• Architect, implement, and present Proof of Concepts (POCs) tailored to client‑specific requirements, showcasing measurable business impact.
• Build and sustain strong relationships with key technical and executive stakeholders across client organizations and partner ecosystems.
• Stay at the forefront of emerging technologies—especially in data engineering, cloud platforms, ETL / ELT, real‑time analytics, and AI / ML—to advise clients and inform product strategy.
• Serve as a knowledge hub internally, sharing market insights, competitive intelligence, and technical best practices across teams.

Required Qualifications

Preferred Technical Competencies

Soft Skills & Attributes

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