About Profit Isle
Profit Isle is defining a new category: the Profit Operating System. Most companies rely on financial reports built on averages that hide where profit is truly made or lost. We capture and align data at the transaction level to reveal true net profit across customers, products, and channels. Our platform turns profit insight into action so leaders can identify and reduce profit drains, optimize performance, and drive profitable growth. We bring an AI-enabled approach to finance and business leaders in large, complex organizations who must meet their profit and growth targets despite today's ever-changing environment.
The Role
As a Solutions Architect, you are the technical mastermind behind every successful customer deployment. You don’t just manage a relationship; you architect the data journey. You are responsible for deconstructing a client’s complex financial environment and mapping it into our proprietary canonical models. This role requires the rare ability to sit with a CFO to understand their business logic and then sit with Data Engineers to ensure that logic is codified accurately in our platform.
Core Responsibilities
Solution Design: Lead the technical discovery process to understand customer data landscapes (SAP, Oracle, NetSuite, Salesforce) and design the architecture for their Profit OS implementation.
Ontology Mapping: Act as the primary expert in mapping "messy" real-world financial data into the structured Profit Isle Language, ensuring high-fidelity cost assignments and profit analysis.
Data-to-Value Orchestration: Drive the "technical critical path" of deployments, identifying potential data gaps or cost distortions early in the implementation lifecycle.
Technical Advocacy: Serve as the technical voice of the customer back to our Product and Engineering teams, helping prioritize features that solve common data normalization hurdles.
Strategic Consulting: Work alongside the VP of Sales and VP of CS to provide technical credibility during the pre-sales and onboarding phases, proving the ROI of our AI-assisted inference systems.
Documentation & Standards: Create repeatable implementation frameworks and "blueprints" to reduce time-to-value for new enterprise clients.
What We’re Looking For
The "Translator" Skillset: You can translate a CFO’s strategic questions (e.g., "Where is my cost distortion?") into technical requirements for data pipelines and schema inference.
Technical Depth: Proficiency in modern data architectures, SQL, and understanding of API-driven systems. Familiarity with Google Cloud (BigQuery, Vertex AI) is a major plus.
Financial Literacy: You must understand the mechanics of P&L statements, revenue recognition, and unit economics. You understand why data behaves differently in an ERP vs. a CRM.
Systems Thinking: You don't just look at outputs; you care about the underlying architecture and how it supports long-term, high-trust financial modeling.
Ambiguity Navigator: You thrive in "category-builder" environments where you must often create the technical playbook as you go.
What You’ll Get
Direct Influence: Your architectural decisions will directly shape the evolution of a category-defining solution.
Complexity & Impact: Solve the hardest data problems in the enterprise world—making sense of fragmented financial systems at scale.
High-Output Culture: Join a team of builders who value technical excellence and tangible profit results over corporate optics.