Product Solutions Engineer

Introhive
Remote

About The Position

As the Product Solutions Engineer, you are the "Technical Builder" responsible for turning Introhive's vast data into scalable, high-impact value assets for our new and existing clients. You don't just deliver one-off reports; you build the repeatable technical frameworks that prove our ROl to new logos and existing enterprise clients. Reporting into the Professional Services organization, your mission is to bridge the gap between custom white-glove establishment of our product and a self-serve product experience. You will partner with our Client Solution Architect and the Product teams to engineer automated value dashboards and integration templates that model different clients' technical work from "custom project" to "standardized impact" at high velocity.

Requirements

  • Advanced SQL queries and Python scripting
  • Strong proficiency in data visualization and reporting tools (Tableau, PowerBI)
  • Practical experience with APIs, data mapping, and connecting enterprise software platforms
  • High level of accuracy and attention to detail and a finisher mindset with the urgency to move technical projects from 90% to 100% completion within 60 to 90 days
  • High-level client-facing skills with the ability to translate complex technical requirements into clean instructions.
  • Ability to work closely with Solutions Architects, Product teams, and clients alike
  • Experience manipulating large data sets through statistical software or other methods
  • Highly organized with the ability to plan work independently, and maintain a high level of accuracy in a fast-paced, demanding environment to meet deadlines
  • Able to relate and communicate effectively to stakeholders as well as software developers, data engineers, and data scientists
  • Strong interpersonal, written, and verbal communication skills
  • 3+ years in a customer-facing engineering role (Forward deployed Engineering, Product Solutions Engineering,Professional Services, or Technical Consulting)
  • BA/BS in a field that emphasizes data analysis and visualization (e.g., computer science, social sciences, physical sciences, math, engineering, or statistics), or equivalent practical work experience
  • Experience working in an agile environment within a development team or professional services team delivering customer-facing technical solutions

Responsibilities

  • Partner with the Client Solution Architect, Product Managers, Product Support and Technology Services to build and automate the first five "Success Dashboards" for new enterprise clients, ensuring technical ROI is visible within 180 days.
  • Transform one-off data investigations into a library of repeatable Python scripts, SQL templates, and PowerBI/Tableau frameworks that any Solution Analyst can deploy.
  • Lead the technical configuration for high-stakes POCs and expansion deals. You are responsible for the "proof" in "Proof of Concept," ensuring our data story wins the contract.
  • Identify manual bottlenecks in the current deployment process and work directly with core Product/Engineering teams to "bake" those solutions into the self-serve product UI.
  • Build standardized health-check reports and automated acceptance criteria to triage and resolve data quality issues before the client notices them.
  • Drive high-complexity technical projects from the 90% "draft" phase to 100% "production-ready" status within 60-day sprints.
  • Analyze, and interpret trends or patterns in complex data sets to identify and define opportunities to improve data quality and quantity.
  • Prepare detailed analysis and present recommendations for improvement to team members and management and work with leadership to help prioritize data improvement initiatives.
  • Triage incoming data investigations using standardized procedures, investigate issues and develop acceptance criteria for fixes and evolve data quality reports with standardized health metrics.
  • Create a library of repeatable builds, templates, and step-by-step guides to teach the organization what success looks like, improving overall delivery speed.

Benefits

  • room to grow
  • tools to succeed
  • a team that’s got your back
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