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 Git Hub 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.

• 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 Git Hub.
• 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, Git Hub Copilot, Codex)