Lead Solution Engineer

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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

The Salesforce Marketing Cloud and Data Cloud are leaders in AI-driven digital
customer experience and engagement solutions. Delivering customer success with
Data + AI + CRM + Trust is the unique value proposition for Salesforce and the
Customer 360 Platform. The Marketing Cloud Solution Engineer a best-in-class
technical trusted advisor with deep subject matter expertise in Marketing Cloud and
Data Cloud, the flagship innovation and hyperscale data platform built natively into
Salesforce.

The Salesforce Marketing Cloud Solution Engineer (MC SE) engages with customers
ranging from operational marketing and IT teams to C-Level executives. The MC SE
must perform as a trusted advisor and as a guide in delivering memorable customer
experiences while knowledgeably positioning the business value of our solutions to
all levels of audiences.

The Marketing Cloud Solution Engineer is part of the INDIA Sales team, providing
technology and industry expertise to customers and partners by crafting, packaging,
and demonstrating innovative solutions that solve key business challenges and help
to deliver against demanding critical metrics.In addition to working on sales opportunities and supporting marketing initiatives, you will also get a chance to work on exciting and strategic initiatives to drive continuous improvement within the Solution Engineering team and to grow your personal profile within Salesforce.

The SE’s abilities will be a unique combination of executive-level presence combined
with full-stack technical skills that ensure Data Cloud delivers value to customers
integrated with sophisticated customer data architectures. This technical talent with
a rare combination of skills will drive execution excellence in support of sellers and
leadership across the territory. In-depth knowledge of modern cloud data platforms
like Snowflake, GBQ, and Databricks, as well as data analytics tools like Tableau, will
be instrumental in crafting solutions that integrate elegantly to drive customer
success.

Responsibilities:

• Success will be measured by the overall performance of the Sales team in growing

• annual revenues and providing solution expertise to support growing the sales

• pipeline:

• Work in close partnership with sales teams, partners, product and industry

• specialists to plan and deliver on sales campaigns

• Lead client discovery and workshop sessions to ensure that the proposed

• solution delivers customer success, solving identified business challenges,

• helping to achieve their KPIs, and providing a path to fast ROI

• Present and demonstrate technical solutions; have a passion for

• understanding and solving business challenges to bring the most value to

• customers.

• Deliver inspiring presentations and product demonstrations to expectant and

• influential audiences; either as part of sales cycles or Salesforce events such

• as World Tour and Dreamforce.

• Remain well-informed on the latest innovations in customer experience

• management solutions.

• Amplify the reach of your successes and learning moments internally to

• maximise the impact of every engagement.

Required Experiences and Qualifications:

• 8-10+ years experience working within a Solution Engineering, Pre-Sales or

• Solutions Consulting role, positioning and demonstrating solutions to inspire

• and transform the customer experience.

• 5+ years working in one or more of: Digital Marketing (B2C and/or B2B),

• Marketing Automation, Customer Data Platforms and AI.

• An autonomous self-starter that is able to learn, lead and prioritise tasks and

• time effectively.

• Be comfortable working across multiple highly dynamic teams or on solo

• projects as required.

• Passionate about storytelling to bring customer engagements to life using

• impactful presentation and solution demonstration content.

• Good experience in customer-facing solutioning for Data, Analytics, AI and

• CRM.

• Full-stack technical qualifications (CRM, Data Architecture, AI/ML) combined

• with experience owning technical relationships with C-Level executives.

• Experience integrating complex data architectures to drive business value

• for customers.

• Good knowledge of cloud data platforms (Snowflake, Databricks, Big Query,

• RedShift), data analytics tools (Tableau, Looker, Power BI), data

• programming models (DataFrames, pandas), and AI (Python, R, Jupyter

• Notebooks).

• Skilled at guiding impactful discovery conversations to unveil nuanced client

• needs and objectives.

• Experience driving customer success in large, complex selling organizations.

• Consistent recognition/awards for sales and customer success.

• Knowledge of industry-specific use cases, data architectures, and integration

• patterns.

• Persuasive verbal, written, presentation and interpersonal communication

• skills that inspire change in large organizations.

• Degree or equivalent relevant experience required. Experience will be evaluated based on the core proficiencies or the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

Advantageous/Preferred Experiences and Qualifications:

• Technical expertise in any of the following technologies: Marketing

• Automation, Loyalty Management, Analytics or and Real-time, Personalisation

• and Interaction Management (RTIM)

• Excellent knowledge of Adtech and Martech Technologies and Ecosystem.

• Added advantage :Data Architecture & Tools: modern cloud data platforms

• (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau,

• Looker, Power BI), data programming models (DataFrames, pandas), data

• modeling

• AI: Python/R, data wrangling, machine learning

• Salesforce Smart: Salesforce Admin-level certification(s), hands-on

• experience with Salesforce Cloud(s

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