Sr. Technical Product Manager

Overview

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Murphy AI is a next-generation debt collection platform powered by artificial intelligence, designed to optimize recovery rates while maintaining respectful and personalized communication. Our advanced automation streamlines the process of collecting overdue invoices for businesses, providing a seamless and effective solution. At Murphy AI, we’re tackling one of the toughest challenges in fintech : making debt recovery more efficient, autonomous and scalable. Our AI-powered agents adapt instantly, engaging with debtors across channels like voice, email and sms to maximize results while preserving trust. By combining advanced artificial intelligence with powerful automation, we’re setting a new standard for how businesses recover payments. As a fast-growing startup that has already made an impact within less than a year in the market, we are building a talented team to scale our operations and drive our vision forward.

About The Role

We’re looking for a Senior Technical Product Manager to translate the product vision and strategy into outstanding execution across our platform. This role requires someone with a strong technical and analytical foundation, proven ability to simplify complexity, and a relentless focus on measurable business impact. You’ll take ownership of the end-to-end product lifecycle, from user research and discovery through delivery and iteration, while collaborating closely with engineering, data, and operations. Most importantly, you’ll help us design a platform that scales, creates real client value, and sets the foundation for Murphy’s long-term growth.

Responsibilities

• Technical & Analytical Excellence (Must-have)
• Design and manage backend-heavy, configurable, and scalable platforms.
• Understand architectures, APIs, data models, and complex business logic.
• Engage with AI / ML-driven features : configuring prompts, events, detections, and modular components.
• Product Strategy & Platform Vision
• Define platform vision beyond features—systems, frameworks, and reusable configurations.
• Balance short-term business needs with long-term technical health, managing technical debt pragmatically.
• Improve operational workflows and automation, ensuring orchestration and reporting are scalable.
• Hands-on Execution & Delivery
• Own the full product lifecycle : discovery, user stories, prioritization, sprint execution, QA, launch, and post-launch analysis.
• Operate autonomously in ambiguous environments, proactively spotting gaps and aligning stakeholders.
• Deliver MVPs and iterate quickly, simplifying complex challenges into clear product value.
• Data-Driven & Business Impact
• Make decisions grounded in data, experimentation, and KPI analysis.
• Focus on measurable outcomes such as automation, improved success rates, or better customer experience.
• Collaboration & Stakeholder Management
• Work cross-functionally with engineering, data, ops, and clients to deliver on commitments.
• Translate business needs into technical requirements and influence product decisions.
• Act as a constructive challenger, pushing for continuous improvement while fostering team spirit.
• Customer & User Centricity
• Deeply understand client contexts, needs, and business models.
• Advocate for the user—whether debtor, operator, or client—and prioritize what drives real impact.
• Build long-term trust with enterprise customers through empathy and value creation.

Requirements

Bonus points if you have

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We are committed to building a diverse, inclusive, and equitable workplace where everyone feels valued and empowered to thrive.

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