About the role

Product Solutions Engineer transforming data and integrating solutions for scalable customer value at Introhive. Collaborating with architectural teams to streamline integration processes with enterprise clients.

Responsibilities

Transform Introhive’s data and integration capabilities into scalable, repeatable customer value.
Build automated systems that prove Introhive’s ROI to the world's largest enterprise accounts.
Collaborate with Client Solution Architects and Product teams to engineer tools, templates, and automated dashboards.
Serve as the technical owner for customer-facing implementations, proofs of concept (POCs), and value demonstrations.
Identify manual bottlenecks in the current deployment process.
Build standardized health-check reports and automate acceptance criteria to triage and resolve data quality issues.

3+ years in a forward-deployed engineering solutions engineering, or implementation engineering role in SaaS or data-heavy environments.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline, or equivalent hands-on experience.
Strong engineering foundation with proficiency in Python, SQL, and API integration
Strong proficiency in data visualization and reporting tools
Practical experience with APIs, data mapping, and connecting enterprise software platforms
Proven track record delivering customer-facing technical solutions, from discovery through deployment, and communicating technical details clearly to both engineers and business users
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.