Lead Specialist Solution Engineer, Data Cloud

Salesforce, Inc..; München; Vor Ort; EUR 60.000 - 120.000; Vollzeit

Zusammenfassung

An established industry player is seeking a skilled Sales Engineer for their Data Cloud division. This role combines technical expertise with strategic collaboration to drive customer success through innovative data solutions. You will engage with C-Level executives, guiding them through complex data architectures and advocating for key features that align with industry needs. Your experience in AI, data analytics, and CRM will empower you to deliver impactful solutions that enhance business outcomes. Join a dynamic team where your contributions will shape the future of data-driven strategies and customer engagement.

Qualifikationen

• Experience in customer-facing solutioning for Data, Analytics, AI, and CRM.
• Full-stack technical qualifications combined with experience owning technical relationships.

Aufgaben

• Conduct meetings to drive opportunity lifecycle from discovery to close.
• Collaborate with Account Executives to develop industry-specific use cases.

Kenntnisse

Customer-facing solutioning

Data Architecture

AI/ML

CRM

Persuasive communication

Technical relationship management

Data wrangling

Ausbildung

Experience with Hyperscale Data providers (e.g. AWS, Azure, GCP)

Hands-on expertise in cloud data platforms (Snowflake, Databricks)

Tools

Tableau

Looker

Power BI

Python

R

Jupyter Notebooks

Jobbeschreibung

Delivering customer success with Data + AI + CRM + Trust is the unique value proposition for Salesforce and the Customer 360 Platform. Salesforce Data Cloud is passionate about next-generation technology at Salesforce and the flagship innovation and hyperscale data platform built natively into Salesforce.
We are crafting a dynamic, constantly evolving environment where expertise in design and technology is confirmed every day to drive innovation. As an SE in Salesforce Data Cloud, you will bring 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!

Key Responsibilities

• Arrange and conduct in-person & web-based meetings to drive the entire opportunity lifecycle from technical discovery to technical close.
• Collaborate strategically with Account Executives across the customer base and the sales organization to prioritize and develop Industry-specific use cases grounded in consistent architectures that have shown repeatability with customers.
• Implement programs to efficiently scale technical evaluation of Salesforce Data Cloud.
• Collaborate with Salesforce product teams to deeply understand Salesforce solutions and roadmap, and advocate for key features needed for success across the Industry/Territory via Voice of the Customer feedback.
• Develop scalable, deployable, reusable, and relevant field enablement technical assets that drive differentiated business outcomes in order to accelerate adoption across customers, partners, and sales teams.
• Partner with Product Marketing to advise messaging and sales plays across all of Salesforce.
• Deliver the overall Salesforce point-of-view for data strategy aligned to industry-specific use cases.
• Experience in articulating Data & AI ROI value to Business & getting the IT agreement.
• Industry domain experience relevant to Data architecture approaches and knowledge in mapping business capabilities to technical capabilities.
• Aware of latest trends in industry including Lakehouses, data governance, LLMs, Agents.

Essential Requirements

• Experience in customer-facing solutioning for Data, Analytics, AI (ML & RAG) and CRM.
• Full-stack technical qualifications (CRM, Data Architecture, AI/ML) combined with experience owning technical relationships with C-Level executives.
• Understanding of latest trends in industry including Lakehouses, Data Governance, LLMs, Agents.
• Experience integrating complex data architectures to drive business value for customers.
• Experience in 1 or more Hyperscale Data providers (e.g. AWS, Azure, GCP).
• Skilled at guiding impactful discovery conversations to unveil dynamic client needs and objectives.
• Experience driving customer success in large, sophisticated selling organizations.
• Persuasive verbal, written, presentation and interpersonal communication skills that inspire change in large organisations.

Preferred Requirements

• Hands-on expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks).
• AI: data wrangling, machine learning, Vector Databases & RAG, MLOps.
• Technical knowledge of the Salesforce platform.
• Experience in mapping industry demonstrated ability to Data architecture approaches and mapping technical capabilities to business capabilities.
• Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.).
• Understanding market trends in consumption selling business and experience in driving consumption through value use cases.