Java Architect (Identity Protection sphere)
Summary
Design AI-powered architectures to unlock value from fragmented CRM and customer data, enabling faster decisions and measurable ROI for retail, hospitality, and gaming clients.
Company Background
harpin AI is a high‑growth, seed‑stage startup on a mission to close the gap between what your data holds and what your business can achieve. We help enterprise teams unlock the revenue potential of their existing CRM, loyalty, and support systems — without replacing a thing. Built by a proven team with decades of experience in CX, marketing, and data systems, harpin AI was born from a clear market truth: businesses are sitting on massive amounts of valuable data — but most of it goes unused. Fragmented tools, messy data, and dashboards that don’t drive action create a wall between insights and outcomes. We created harpin AI to tear that wall down. Instead of another dashboard or CDP, we built a set of modular, AI‑powered tools that activate the systems you already use — fueling faster decisions, smarter customer experiences, and measurable ROI. Whether it’s identifying at‑risk customers, surfacing churn signals, or launching campaigns with validated segments, harpin AI turns data from a liability into a competitive advantage. Our customers span retail, hospitality, and gaming, and use harpin AI to drive growth in days — not quarters. If you’re excited about joining a sharp, decisive, purpose‑driven team that’s redefining what data can do, we’d love to meet you.
Project Description
The Technical Solutions Architect plays a mission‑critical role in defining and delivering client solutions that bring Harpin AI’s product capabilities to life. This is a senior, client‑facing position that blends deep technical acumen, business understanding and cross‑functional leadership.
Responsibilities:
- Lead the design of end‑to‑end architectures that unlock business value from fragmented, siloed and poor quality data.
- Collaborate with clients and internal teams to define implementation plans, mitigate technical risk, and drive measurable outcomes—such as reducing churn, increasing conversion, and surfacing actionable insights from underutilized customer data.
- Lead by example in the adoption of generative AI tools to improve internal and partner engineering productivity.
Harpin has committed to improving performance and efficiency by 40% by the end of 2025, and this role will play a central part in helping our engineering and QA teams—both internal and offshore—achieve that goal through smarter, AI‑enabled work processes.