Own the technical narrative in enterprise deals: Translate ambiguous client challenges into structured problem definitions and solution architectures grounded in real-world constraints such as data availability, infrastructure, and governance.
Turn conversations into working systems (fast): Build prototypes, POCs, and demos using real or representative data to validate feasibility and demonstrate impact.
Make AI real for clients: Shift discussions away from theoretical models toward practical applications, including decision systems, automation frameworks, and human-in-the-loop workflows.
Quantify and anchor business value: Define and communicate ROI tied directly to revenue growth, cost savings, or operational efficiency.
Partner with leadership and delivery teams: Collaborate directly with the founding team and senior leadership on strategic opportunities.
Drive complex enterprise deals forward: Engage both technical and business stakeholders, handle objections with clarity and logic, and guide conversations toward decisive outcomes.

Requirements

4+ years in solution engineering, data, AI, consulting, or product-focused roles
Strong understanding of data architecture, including data warehouses, pipelines, and streaming systems
Experience with AI/ML systems, including LLMs, agent-based systems, and applied AI use cases
Ability to design solution architectures that integrate with existing enterprise ecosystems
Hands-on experience prototyping with SQL, Python, APIs, or dashboards
Proven ability to quickly translate ideas into tangible proofs of concept
Systems-level thinking, with a focus on end-to-end workflows rather than isolated features
Strong understanding of how businesses generate revenue and manage costs
Ability to connect technical solutions directly to financial and operational outcomes
Experience supporting or influencing complex deal cycles
Clear, structured, and concise communication style
Ability to simplify complex technical concepts for diverse audiences
Comfortable engaging with engineers, operators, and executive stakeholders

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

solution engineeringdata architecturedata warehousesdata pipelinesstreaming systemsAI systemsML systemsSQLPythonAPIs

Soft Skills

structured communicationsystems-level thinkingproblem definitioncollaborationstakeholder engagementclaritylogicsimplifying complex conceptsdecision makinginfluencing