Blue Orange Digital is looking to solve the business problem of helping organizations unlock measurable business value with modern analytics and AI, specifically in the Financial Services, Private Equity (PE) firms and their portfolio companies, by driving EBITDA uplift, revenue acceleration, and operational efficiency.
Requirements
- Hands-on proficiency with modern data platforms: Databricks, Snowflake, or equivalent; at least one major cloud (AWS, Azure, GCP)
- LLM/GenAI fluency: RAG patterns, vector databases, prompt engineering, LLM evaluation, deployment considerations
- Python proficiency: Able to build demos, review code, and speak credibly to implementation approaches
- Proven discovery skills: Ability to run technical discovery, extract requirements from ambiguous conversations, and translate to solution architecture
- Demo excellence: Track record of building and delivering compelling technical demonstrations that advance deals
- Strong proposal experience: Authored technical sections of winning proposals; comfortable with RFP response
- Experience with MLOps/LLMOps tooling and practices
Responsibilities
- Lead technical discovery calls and workshops to understand client challenges, data landscape, and business objectives
- Translate business pain into solution architecture—data platforms, AI/ML initiatives, LLM applications, automation
- Size opportunities and define scope, assumptions, dependencies, and technical risks
- Develop level-of-effort estimates and work with delivery to validate pricing and timelines
- Create solution briefs and technical narratives that differentiate Blue Orange from competitors
- Build and maintain demonstration environments showcasing Blue Orange capabilities: Databricks/Snowflake data platforms, LLM applications and copilots, predictive analytics and ML models, dashboards and visualization
Other
- 6+ years in Data, Analytics, or AI/ML roles, with 3+ years in sales engineering, solutions architecture, or technical pre-sales
- Communication skills: Can explain complex technical concepts to both technical practitioners and business stakeholders
- Self-directed: Comfortable operating independently, prioritizing across multiple pursuits, and driving outcomes without heavy oversight
- Travel: 20-30% to client sites, conferences, and industry events
- Work Authorization: Candidates must be authorized to work in the US
