Senior Cloud Solutions Architect Lead

You will serve as a trusted advisor to customers, guiding them in achieving their business outcomes and accelerating consumption of cloud solutions.

• Customer Success Leadership: Influence customer outcomes, accelerate cloud solution adoption, and drive return on investment (ROI).
• Strategic Engagement: Partner with customers to understand their business goals, create tailored plans, and drive adoption of cloud solutions.
• Cross-functional Collaboration: Work closely with sales, product, engineering, and support teams to ensure seamless customer experiences.
• Onboarding & Enablement: Lead customer onboarding, ensure successful deployment, and guide continuous consumption post-sale.
• Value Realization: Develop and execute strategies that deliver business value, helping customers achieve their goals while driving scalable consumption and growth.
• Technical Guidance: Provide deep technical expertise to customers, including hands-on guidance on cloud solution architecture and best practices.
• Risk Mitigation & Problem Resolution: Proactively identify and address potential risks, working with customers and internal teams to mitigate challenges and keep projects on track.
• Executive Relationships: Build strong, long-lasting relationships with customer executives and key decision-makers to ensure sustained success and value from cloud solutions.
• Feedback Loop: Collaborate with product teams to provide customer feedback, advocate for product improvements, and contribute to future feature development.

• Experience: 7+ years in customer-facing roles involving cloud solutions, data, AI, analytics, and CRM technologies, with a proven track record in guiding customers to success.
• Technical Expertise: Strong technical background with hands-on experience in cloud computing, data architecture, and AI/ML technologies. Expertise in cloud platforms (Admin, Advanced Admin), marketing tools (Marketing Cloud), and modern data platforms (Snowflake, Databricks, BigQuery, RedShift).
• AI & ML Knowledge: Experience with machine learning, AI concepts (both predictive and generative AI), and communicating technical concepts effectively to both technical and non-technical audiences.
• Industry Expertise: In-depth understanding of industry-specific use cases, integration patterns, and how to leverage data architecture to deliver business value.
• C-Level Communication: Proven ability to influence and communicate effectively with senior executives, guiding difficult conversations and driving action.
• Proactive & Independent: A self-starter who thrives in an autonomous role, with the ability to manage tasks independently while collaborating with remote teams and customers.
• Data Ethics & Privacy: Commitment to upholding data security, privacy, and ethical standards while ensuring customers comply with relevant regulations.
• Facilitation Skills: Expertise in facilitating workshops, whiteboarding sessions, and discovery conversations that uncover customer needs and drive innovative solutions.

• Salesforce Platform Knowledge: In-depth knowledge of Salesforce's cloud solutions and hands-on experience with Salesforce Clouds, including Data Cloud and Agentforce.
• Data Architecture & Analytics Tools: Experience with modern cloud data platforms (e.g., Snowflake, Databricks), analytics tools (e.g., Tableau, Looker, Power BI), and programming frameworks (e.g., Python, R, Jupyter Notebooks).
• Machine Learning & AI Expertise: Hands-on experience with machine learning frameworks, including predictive and generative AI models, and the ability to integrate these into customer solutions.
• Emerging Technologies: Passion for exploring and experimenting with new AI technologies, including large language models (LLMs) and agent-based systems.

• Hands-on experience in building and deploying products at startups or large companies.
• Advanced certifications in cloud solutions or related technologies.
• Strong network within the cloud ecosystem and industry-specific knowledge.