
201 - 500 employees
Founded 2002
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
đź’° Private equity on 2024-03
B2B • Enterprise • Artificial Intelligence
Bits In Glass is a global boutique consulting firm that designs, builds, and manages intelligent automation and integration solutions for enterprise clients. The company specializes in enterprise AI and data engineering, low-code/no-code development, process automation (including RPA and BPA), enterprise application integration, CRM implementations, and application management services, working with partners like Appian, AWS, UiPath, MuleSoft, Snowflake, and Creatio. Bits In Glass serves industries such as banking and financial services, insurance, transportation and logistics, manufacturing and distribution, real estate, healthcare, and the public sector, helping organizations scale automation, improve efficiency, and turn data into actionable insights.
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201 - 500 employees
Founded 2002
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
đź’° Private equity on 2024-03
B2B • Enterprise • Artificial Intelligence
Bits In Glass is a global boutique consulting firm that designs, builds, and manages intelligent automation and integration solutions for enterprise clients. The company specializes in enterprise AI and data engineering, low-code/no-code development, process automation (including RPA and BPA), enterprise application integration, CRM implementations, and application management services, working with partners like Appian, AWS, UiPath, MuleSoft, Snowflake, and Creatio. Bits In Glass serves industries such as banking and financial services, insurance, transportation and logistics, manufacturing and distribution, real estate, healthcare, and the public sector, helping organizations scale automation, improve efficiency, and turn data into actionable insights.
• Serve as the technical bridge between sales organization and prospective customers • Lead technical discovery workshops to understand customer business objectives • Design and present scalable Databricks-based solution architectures • Build and deliver compelling demos, prototypes, and proofs-of-concept • Partner closely with Account Executives throughout the sales lifecycle • Respond to RFPs, RFIs, and security questionnaires with clear, accurate content • Translate complex technical concepts into business value for stakeholders • Guide customers on best practices for data pipelines and modeling • Advise on integration of Databricks with hyperscaler environments • Identify and mitigate technical risks early in the sales process • Demonstrate Databricks capabilities for Data Science, ML, and Generative AI use cases • Collaborate with Data Scientists and ML Engineers to develop AI-powered demo assets • Stay current on Databricks platform releases
• 5+ years in a pre-sales, sales engineering, or technical consulting role with a customer-facing focus • 3+ years of hands-on experience with Databricks in a technical capacity • At least one Databricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning Professional) • Strong expertise in at least one core data domain: big data engineering (Spark, Kafka), Data Warehousing & ETL, or Data Science & ML • Fluency in SQL and proficiency in Python, Scala, Java, or R • Proven ability to translate business requirements into technical solutions and gain stakeholder buy-in at all levels • Experience designing, presenting, and delivering production data architectures for enterprise customers • Working knowledge of cloud platforms: AWS, Azure, and/or GCP • Excellent written and verbal communication skills — you can make complex topics clear and compelling.
• Competitive compensation • Access to 10+ cutting-edge technology practices • Continuous learning opportunities • Flexible, remote-friendly work environment • Celebrates wins together
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