
Data & AI Sales Solutions Architect
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States, +1 more country.
• Take ownership of the complete technical pre-sales lifecycle while collaborating with AllCloud Account Executives.
• Deliver pre-sales assistance through demonstrations, documentation, proof-of-concept presentations, and other technical resources.
• Partner with delivery and sales teams to comprehend and integrate client requirements effectively.
• Counsel customers on the adoption of advanced AWS cloud solutions and the design of data and AI workloads.
• Develop and implement strategies to foster mind share and extensive use of AWS technologies.
• Connect AllCloud Data & AI solutions to enhance customer ROI.
• Recognize opportunity signals and create expansion prospects, including upsell, add-on, and cross-sell opportunities from current clients.
• Market professional services for AllCloud’s Data & AI practice across North America.
• Identify and engage potential clients, assess their data and AI needs, and present customized solutions.
• Establish and nurture relationships with key stakeholders, including C-level executives.
• Collaborate with technical teams to design and propose solutions that align with client requirements.
• Keep abreast of data and AI technology trends to effectively communicate value propositions to clients.
• Surpass monthly and quarterly objectives.
• Proven sales experience in selling Professional Services to Enterprise prospects and clients.
• In-depth knowledge of AWS products and solutions.
• Proficiency in AWS data and AI services, including Bedrock, AgentCore, OpenSearch, SageMaker, Redshift, Glue, Quick, Kinesis, and DMS.
• Ability to architect, design, and communicate solutions for generative AI chatbots, agentic workflows, machine learning pipelines, batch and streaming ETL pipelines, data lakes, data warehousing projects, and business intelligence dashboards.
• Experience with a structured sales methodology aimed at achieving quarterly targets.
• A solid track record of supporting deals exceeding one million dollars.
• Capability to foster relationships with both technical and business executives.
• Experience in developing large contracts, navigating conflicts, and collaborating with legal teams and procurement processes.
• Background in managing customer engagements in both virtual and in-person settings.
• Experience in engaging a diverse range of stakeholders, from engineers to C-suite executives.
• Knowledge in Generative and Agentic AI.
• Ability to work autonomously or as part of a team.
• Preferred experience in enterprise transformation, including selling targeted engagements.
• Preferred experience in a matrixed organization.
• Preferred familiarity with Databricks and Snowflake.
• Opportunities for learning and personal development.
• Collaborate with leaders who encourage learning and personal growth.
• Equal Opportunity Employer.
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