Presales Engineer

Job Title:

Department:

Job Summary:

Pre-Sales Engineer

Key Responsibilities:

Pre-Sales & Solution Consulting

• Lead end-to-end

  pre-sales lifecycle

  from requirement discovery, proposal development, solutioning and client presentations.
• Collaborate with cross-functional teams (Sales, Delivery, Solution, Data Science) to craft tailored solutions leveraging

  AI/ML, Data Engineering, BI, Cloud

  and

  Industry 4.0

  technologies.
• Translate client pain points into

  value propositions, solution blueprints and technical architectures

  .

Industry-Focused Solutioning

• Create

  industry-specific use cases

  and

  demos

  aligned with domain challenges in:

• Manufacturing

  (OEE, Predictive Maintenance, Quality Analytics, Digital Twin)

• Supply Chain

  (Demand Forecasting, Inventory Optimization, Logistics Analytics)

• Retail & CPG

  (Assortment Optimization, Customer Insights, Pricing and Promo Effectiveness)

• Aviation

  (MRO Optimization, Delay Prediction, Parts Lifecycle Analytics)

Client Engagement & Enablement

• Conduct

  client workshops, discovery sessions, PoCs

  , and technical deep dives to shape solution understanding and buy-in.
• Act as a trusted advisor to clients and internal stakeholders on

  data and AI maturity journeys

  .

Proposals, RFPs, and Documentation

• Own and contribute to

  proposals, SoWs, RFP/RFI responses

  and

  collateral creation

  (solution decks, value maps, case studies).
• Ensure all deliverables meet quality, timeline, and alignment expectations.

Market and Technology Insights

• Stay ahead of

  emerging trends in AI, GenAI, IoT, Digital Twin, LLMs, and cloud platforms

  (Azure, AWS, GCP).
• Continuously gather

  competitive intelligence

  and

  benchmarking

  insights to strengthen solution offerings.

Qualifications:

• Bachelors or Masters degree in Engineering, Business, Data Science or a related field.
• 3 to 5 years of experience in

  pre-sales, solutioning or consulting roles

  with focus on

  Data & AI solutions

  .
• Deep understanding of

  data architectures

  ,

  AI/ML workflows

  and

  business intelligence platforms

  .
• Exposure to

  industry processes, KPIs and digital transformation use cases

  in Manufacturing, Retail/CPG, and Supply Chain.
• Proficient in tools such as

  Power BI/Tableau, Azure/AWS, Python/SQL

  , and knowledge of

  ML lifecycle

  tools (MLflow, Databricks, SageMaker).

Preferred Skills:

• Experience working with

  SAP, Oracle, Snowflake

  , and integrating with enterprise systems.
• Understanding of

  IoT protocols (MQTT, OPC UA)

  and

  smart manufacturing practices

  .
• Strong communication and storytelling skills – ability to

  influence CXOs and business/technical teams

  .
• Agile, collaborative, and customer-first mindset.

Why Join Us?

• Be at the forefront of

  industry innovation in Data & AI

  .
• Work across

  diverse industries and global clients

  .
• Opportunity to lead

  flagship initiatives and cutting-edge solution launches

  .
• Empowerment to contribute to

  IP creation, accelerators, and playbooks

  .

If interested send your updated resume at chaity.mukherjee@celebaltech.com