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Salesforce Lead Solution Engineer - AI & Data Cloud 
India, Maharashtra, Mumbai 
412612755

20.03.2025

Job Category

Job Details

  • Overview of the Role:We have an outstanding opportunity for an expert AI and Data Cloud Solutions Engineer to work with our trailblazing customers in crafting ground-breaking customer engagement roadmaps demonstrating the Salesforce applications, platform across the machine learning and LLM/GPT domains in India! The successful applicant will have a track record in driving business outcomes through technology solutions, with experience in engaging at the C-level with Business and Technology groups.
    Responsibilities:
    • Primary pre-sales technical authority for all aspects of AI usage within the Salesforce product portfolio - existing Einstein ML based capabilities and new (2023) generative AI
    • Majority of time (60%+) will be customer/external facing
    • Evangelisation of Salesforce AI capabilities
    • Assessing customer requirements and use cases and aligning to these capabilities
    • Solution proposals, working with Architects and wider Solution Engineer (SE) teams
    • Building referencemodels/ideas/approachesfor inclusion of GPT based products within wider Salesforce solution architectures, especially involving Data Cloud
    • Alignment with customer security and privacy teams on trust capabilities and values of our solution(s)
    • Presenting at multiple customer events from single account sessions through to major strategic events (World Tour, Dreamforce)
    • Representing Salesforce at other events (subject to PM approval)
    • Sales and SE organisation education and enablement e.g. roadmap - all roles across all product areas
    • Bridge/primary contact point to product management
    • Provide thought leadership in how large enterprise organisation can drive customer success through digital transformation.
    • Ability to uncover the challenges and issues a business is facing by running successful and targeted discovery sessions and workshops.
    • Be an innovator who can build new solutions using out-of-the-box thinking.
    • Demonstrate business value of our AI solutions to business using solution presentations, demonstrations and prototypes.
    • Build roadmaps that clearly articulate how partners can implement and accept solutions to move from current to future state.
    • Deliver functional and technical responses to RFPs/RFIs.
    • Work as an excellent teammate by chipping in, learning and sharing new knowledge.
    • Demonstrate a conceptual knowledge of how to integrate cloud applications to existing business applications and technology.
    • Lead multiple customer engagements concurrently.
    • Be self-motivated, flexible, and take initiative.|
    Required Qualifications:
    • Experience will be evaluated based on the core proficiencies of the role.
    • 4+ years working directly in the commercial technology space with AI products and solutions.
    • Data knowledge - Data science, Data lakes and warehouses, ETL, ELT, data quality
    • AI knowledge - application of algorithms and models to solve business problems (ML, LLMs, GPT)
    • 10+ years working in a sales, pre-sales, consulting or related function in a commercial software company
    • Strong focus and experience in pre-sales or implementation is required.
    • Experience in demonstrating Customer engagement solution, understand and drive use cases, customer journeys, ability to draw ‘Day in life of’ across different LOBs.
    • Business Analysis/ Business case/return on investment construction.
    • Demonstrable experience in presenting and communicating complex concepts to large audiences
    • A broad understanding of and ability to articulate the benefits of CRM, Sales, Service and Marketing cloud offerings
    • Strong verbal and written communications skills with a focus on needs analysis, positioning, business justification, and closing techniques.
    • Continuous learning demeanor with a demonstrated history of self enablement and advancement in both technology and behavioural areas.
    Preferred Qualifications:
    • expertise in an AI related subject (ML, deep learning, NLP etc.)
    • Familiar with technologies such as OpenAI, Google Vertex, Amazon Sagemaker, Snowflake, Databricks etc

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