Sales Specialist – Data & AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of the complete sales cycle, from prospecting to solution delivery and closure.

• Build and enhance the sales pipeline for enterprise and mid-market accounts across the US.

• Promote InspireXT’s Data & AI solutions, which include Databricks implementations, Lakehouse modernization, data engineering, analytics, AI/ML, GenAI enablement, and optimization of data platforms.

• Develop compelling value propositions, business cases, and solution narratives that link Data & AI capabilities to tangible client results.

• Collaborate with Databricks and cloud partners on joint go-to-market initiatives.

• Create collaborative account plans with Databricks, cloud partners, and InspireXT delivery teams to identify, qualify, and advance sales opportunities.

• Interact with CIOs, CDOs, Data Leaders, and Business Stakeholders.

• Work with pre-sales and delivery teams to design distinctive solutions.

• Formulate account strategies and plans for expansion.

• Represent InspireXT at industry conferences, client workshops, and webinars.

⛳️ Requirements

• 5–8 years of experience in B2B technology sales, specifically in Data, Cloud, Analytics, or AI.

• Proven history of achieving quotas and generating sales pipelines.

• Experience in selling Databricks or similar data platforms such as Fabric, Snowflake, Redshift, BigQuery, or other contemporary data platform solutions.

• Knowledge of how Data & AI capabilities drive business value across various use cases, including operational efficiency, forecasting, automation, decision intelligence, customer experience, supply chain visibility, and process enhancement.

• Comprehensive understanding of modern Data & AI solution areas, including:

• - Modernization of data platforms

• - Lakehouse architecture

• - Data warehouses and data lakes

• - Cloud-native data platforms

• - Data engineering, ETL/ELT, pipelines, and integration

• - Streaming, APIs, and contemporary data stack tools such as dbt, Airflow, and Kafka

• - Analytics, BI, and advanced analytics

• - Machine learning

• - Generative AI

• - Agentic AI

• - AI-enabled transformation of business processes

• - Data governance, quality, metadata, security, privacy, and responsible AI

• Experience working with enterprise clients based in the US.

• Strong consultative and value-oriented sales approach.

• Capability to convert complex data/AI solutions into business results.

• Excellent executive presence and ability to manage stakeholders effectively.

• High level of ownership and adaptability in a fast-paced environment focused on growth.

🏝️ Benefits

• Competitive compensation package that leads the industry.

• Additional benefits available.

• Eligibility to participate in the 401K plan.