Solutions Architect

Responsibilities Partner with Sales, Customer Success, and Product to scope presales requirements and define client-aligned technical solutions. Lead early-stage technical qualification alongside Sales — assessing prospect API-readiness, understanding existing data infrastructure, identifying internal champions, and defining what a successful proof of concept looks like before a trial begins. Deliver credible technical presentations of Vortexa's SDK/API capabilities to prospects and clients. Manage trial and POC engagements with defined success criteria and milestones — owning the technical outcome from setup through to conversion decision, not just providing reactive support. Own competitive technical positioning in client and prospect conversations — confidently addressing integration and data quality objections, and articulating Vortexa’s API advantages relative to alternatives in the market. Create bespoke technical solutions and workflows leveraging Vortexa's external interfaces for energy and freight market intelligence use cases. Provide ongoing support for newly onboarded API accounts, guiding integrations into client databases, applications, and BI environments. Collaborate with CSMs and Sales to proactively identify new integration opportunities and support deeper product adoption. Act as a client-facing conduit for product feedback, surfacing enhancement opportunities to the Product and R&D teams. Monitor API usage health across the active client base — tracking adoption patterns, flagging accounts showing low engagement or unusual drop-off, and initiating proactive outreach before issues become churn signals. Identify and develop technical champions within client organizations — building relationships with the individuals who own or influence the integration internally, ensuring Vortexa has an advocate when commercial conversations arise. Actively surface expansion signals to Sales — connecting client usage patterns (e.g., new data types being queried, increased call volume) to commercial opportunities and flagging them with the relevant account owner. Develop and maintain integration patterns, code examples, and technical documentation in Vortexa's Solutions GitHub repository (Python files, Jupyter notebooks). Contribute to content development — including tutorials, blog posts, and roadshow materials — that showcases the capabilities of Vortexa's SDK/API. Work collaboratively with the broader SA team using methods such as pair programming to develop efficient, reusable data scripts. Support Sales enablement — coaching AEs on when and how to engage the SA, how to handle basic technical questions independently, and how to position API vs. GUI delivery in discovery conversations. Support R&D teams in testing new features and improving SDK/API documentation. Requirements Bachelor's degree (or higher) in a STEM subject, Economics, or Finance. 1–3 years of professional experience in a technical or analytically rigorous role (internships and co-ops considered). Proficiency in Python; familiarity with SQL and/or R is a strong plus. Practical experience working with APIs and/or databases — either in a professional context or through substantive project work. Strong communication skills with the ability to translate technical concepts for non-technical audiences. A client-centric mindset and comfort working in a fast-paced, commercial environment. Background in statistical or financial modelling. Exposure to commodities, energy (oil & gas, LNG), or freight markets — through coursework, internships, or prior roles. Experience with data integration into BI platforms (e.g., Tableau, Power BI) or cloud environments (e.g., Snowflake). Familiarity with Jupyter notebooks and GitHub. Understanding of MCP (Model Context Protocol) servers and their role in connecting AI models to external data sources and tools. Experience with agentic AI tools and LLM-based development environments (e.g., Claude Code, GitHub Copilot, Codex) #J-18808-Ljbffr Jobtailor