Senior Product Manager

About Responsive

Responsive, previously known as RFPIO, leads the Strategic Response Management SaaS space. Trusted by over 2,000 clients such as Google, Microsoft, Adobe, and Amazon, Responsive enables efficient handling of business-critical responses including bids, questionnaires, assessments, and trust centers that influence nearly half of corporate revenues. It boasts adoption by over 35% of cloud SaaS leaders and 20 of the Fortune 100 companies, while being recognized as "best in class" by G2 for 24 consecutive quarters. To date, customers have secured more than $750 billion in deals via Responsive.

About the Role

This Senior Product Manager position focuses on spearheading the strategy and implementation of Responsive AI, the platform’s foundational AI technology that delivers intelligent user experiences.

Key Responsibilities

• Collaborate with machine learning engineers and data scientists to develop and enhance Responsive's core AI infrastructure and capabilities, including orchestration, retrieval, agentic workflows, evaluation, monitoring, trust, governance, and AI-driven experiences.
• Operate in complex, ambiguous technical domains with a systems-thinking approach, partnering closely with engineering to transform AI features into scalable platform solutions.
• Engage directly with field teams and clients for detailed analysis of AI performance, output quality, trustworthiness, and reasoning.
• Mentor and support the growth of emerging AI product managers and builders within the team.

Ownership Areas

• Develop and advance the roadmap for Responsive AI capabilities.
• Lead product direction for AI orchestration, agentic workflows, retrieval and knowledge systems, evaluation, monitoring, trust, and governance mechanisms.
• Oversee Responsive Copilot (Ask), the primary AI orchestration interface across the platform.
• Partner collaboratively with ML, data science, engineering, product, go-to-market, and leadership teams.
• Define and track success metrics to elevate AI quality, reliability, and performance while balancing scalability, trust, latency, cost, and experimentation.

Desired Qualifications

• Minimum five years' experience in product management within SaaS or platform-based products.
• Proven background in developing AI or machine learning-powered products or platform features.
• Strong abilities in systems thinking and solving intricate problems in structured ways.
• Skillful collaboration with technical engineering and ML teams.
• Excellent product judgment and prioritization acumen.
• Exceptional communication skills and expertise managing diverse stakeholder relationships.
• Demonstrated commitment to delivering impactful outcomes beyond feature completion.

Preferred Skills

• Experience with Retrieval-Augmented Generation (RAG), AI orchestration, search or retrieval systems, and evaluation frameworks.
• Hands-on engagement with AI instruments for research, prototyping, or product innovation.
• Technical understanding of APIs, large language models (LLMs), vector databases, and AI infrastructure concepts.
• Capability to independently prototype workflows or utilize AI-assisted coding tools.