Bits In Glass

Pre-sales Engineer

• 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

PreSales Engineer, Databricks

• Serve as the technical bridge between our sales organization and prospective customers, combining deep Databricks expertise with strong business acumen to design compelling data and AI solutions.
• Own the technical side of the sales cycle — from discovery and architecture design to solution demonstrations and proof-of-concept (POC) delivery.
• Lead technical discovery workshops to understand customer business objectives, data challenges, and current-state architecture.
• Design and present scalable Databricks-based solution architectures tailored to customer environments and business goals.
• Build and deliver compelling demos, prototypes, and proofs-of-concept showcasing the capabilities of the Databricks Lakehouse Platform.
• Partner closely with Account Executives throughout the sales lifecycle to develop winning technical strategies.
• Respond to RFPs, RFIs, and security questionnaires with clear, accurate, and persuasive technical content.
• Translate complex technical concepts into business value for both technical stakeholders and executive audiences.
• Design scalable data architectures on Databricks, including Lakehouse, Delta Lake, and Unity Catalog patterns.
• Guide customers on best practices for data pipelines, data modeling, and platform governance.
• Advise on integration of Databricks with hyperscaler environments (AWS, Azure, GCP) and adjacent data tooling.
• Identify and mitigate technical risks early in the sales process to set delivery teams up for success.
• 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 and reference architectures.
• Stay current on Databricks platform releases, including Mosaic AI, MLflow, and Feature Store.
• Serve as a resident Databricks expert within BIG — sharing knowledge and enabling the broader team.
• Contribute reusable demo assets, accelerators, and technical playbooks.
• Represent BIG at customer events, webinars, and Databricks partner activities.
• Provide field feedback to Databricks product and partner teams to influence the roadmap.
• Willingness to travel approximately 40% for customer meetings and partner collaboration.

PreSales Engineer

AI Engineer

• Embed directly with BIG's most strategic enterprise customers to design, build, and ship production AI applications powered by Claude
• Deliver technical artifacts including MCP servers, sub-agents, agent skills, and evaluation frameworks used in real customer workflows
• Lead rapid prototyping and proof-of-concept engagements that demonstrate tangible business impact from day one
• Act as the primary technical contact on-site, coordinating across BIG delivery, sales, and Anthropic partner teams
• Design scalable, enterprise-grade AI architectures leveraging Claude API, Claude Code, and Claude for Enterprise
• Advise customers on agentic workflow design, multi-agent orchestration, RAG patterns, evaluation frameworks, and LLM deployment at scale
• Translate complex customer requirements into architecture blueprints and technical roadmaps that align with business goals
• Identify and mitigate technical risks early in engagements to set delivery teams up for success
• Guide integration of Anthropic solutions with cloud hyperscalers (AWS, Azure, GCP) and enterprise data stacks
• Partner with Account Executives throughout the sales lifecycle to develop winning technical strategies for Anthropic- powered solutions
• Lead technical discovery workshops to uncover customer business objectives, current-state architecture, and AI readiness
• Build and deliver compelling demos, prototypes, and POCs that showcase Claude's capabilities for specific customer use cases
• Respond to RFPs, RFIs, and security questionnaires with clear, accurate, and persuasive technical content
• Translate complex AI concepts into business value for both technical teams and executive stakeholders
• Serve as an internal expert on the Anthropic Claude ecosystem — enabling the broader team through knowledge sharing and documentation
• Contribute reusable demo assets, accelerators, architecture playbooks, and prompt engineering guides
• Represent BIG at customer events, webinars, and Anthropic partner activities
• Provide structured field feedback to Anthropic product and partner teams to help shape roadmap direction

AI Engineer – Anthropic Architect

• Embed directly with BIG's most strategic enterprise customers to design, build, and ship production AI applications powered by Claude
• Deliver technical artifacts including MCP servers, sub-agents, agent skills, and evaluation frameworks used in real customer workflows
• Lead rapid prototyping and proof-of-concept engagements that demonstrate tangible business impact from day one
• Act as the primary technical contact on-site, coordinating across BIG delivery, sales, and Anthropic partner teams
• Design scalable, enterprise-grade AI architectures leveraging Claude API, Claude Code, and Claude for Enterprise
• Advise customers on agentic workflow design, multi-agent orchestration, RAG patterns, evaluation frameworks, and LLM deployment at scale
• Translate complex customer requirements into architecture blueprints and technical roadmaps that align with business goals
• Identify and mitigate technical risks early in engagements to set delivery teams up for success
• Guide integration of Anthropic solutions with cloud hyperscalers (AWS, Azure, GCP) and enterprise data stacks
• Partner with Account Executives throughout the sales lifecycle to develop winning technical strategies for Anthropic-powered solutions
• Lead technical discovery workshops to uncover customer business objectives, current-state architecture, and AI readiness
• Build and deliver compelling demos, prototypes, and POCs that showcase Claude's capabilities for specific customer use cases
• Respond to RFPs, RFIs, and security questionnaires with clear, accurate, and persuasive technical content
• Translate complex AI concepts into business value for both technical teams and executive stakeholders
• Serve as an internal expert on the Anthropic Claude ecosystem — enabling the broader team through knowledge sharing and documentation
• Contribute reusable demo assets, accelerators, architecture playbooks, and prompt engineering guides
• Represent BIG at customer events, webinars, and Anthropic partner activities
• Provide structured field feedback to Anthropic product and partner teams to help shape roadmap direction

AI Engineer, Anthropic Architect – FDE

Account Executive

• Identify, engage, and develop new Creatio and CRM opportunities within enterprise and mid-market accounts
• Build and manage relationships with C-level executives and key business stakeholders
• Understand customer challenges and position BIG's Creatio and consulting solutions as strategic enablers
• Drive the full sales cycle from prospecting and discovery through proposal, negotiation, and close
• Leverage our Premier Creatio Partnership to accelerate opportunities and access partner-sourced leads
• Maintain disciplined, accurate pipeline management, follow-up, and forecasting within CRM.
• Collaborate with Marketing, Alliances, and Delivery to develop targeted go-to-market strategies
• Create and execute outbound strategies including account-based outreach, event engagement, and multi-channel prospecting
• Develop long-term account strategies aligned to customer transformation initiatives
• Represent BIG at industry, partner, and client events
• Travel up to 40% as needed for client and partner engagement

PreSales Engineer, Databricks

PreSales Engineer

AI Engineer – Anthropic Architect

AI Engineer – Anthropic Architect

AI Engineer, Anthropic Architect – FDE

Account Executive – Creatio, CRM