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 reference models/ideas/approaches for 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