Technical Product Manager

Summary

Join Relyance AI as a Technical Product Manager and contribute to the development and improvement of core platform products. You will build new platform features and enhance existing services, working closely with cross-functional teams. This role requires a deep understanding of system architecture, data security, and the AI landscape. You will be responsible for the entire product lifecycle, from ideation to launch and iteration. The ideal candidate possesses 3+ years of product management experience with technical products and a strong understanding of APIs and developer platforms. Success in this role demands excellent communication skills and the ability to adapt to a fast-paced environment.

Requirements

• Have 3+ years of product management experience, including shipping technical products (e.g., APIs, platforms, infrastructure)
• Have directly interfaced with customers—whether through roadmap discussions, feedback loops, or support escalations—and thrive on turning their needs into platform capabilities
• Have deep familiarity with APIs, developer platforms, and integrations, including authentication models (OAuth, API keys etc.), versioning strategies, and standard architectural patterns (REST, event-driven, etc.)
• B2B SaaS experience, technical fluency, and an ability to understand modern software systems (microservices, APIs, client-server architecture, etc.) to help drive strategic and technical discussions
• Excellent written and verbal communication skills for articulating product requirements, customer challenges, and GTM messaging. This role will require the ability to effectively convey complex product ideas and strategies to a range of stakeholders, including executives, engineering, GTM, and end-users
• Ability to wear many hats and pivot based on company needs
• Excitement about taking on new and varied responsibilities in a fast-growing, dynamic organization

Responsibilities

• Building and evolving foundational platform capabilities, such as common services, ingress/egress layers, telemetry pipelines, identity and access primitives, and developer-facing APIs that power all Relyance AI products
• Deeply understand user needs by engaging with customers, mapping workflows, identifying pain points, and aligning on desired outcomes
• Drive cross-functional collaboration by acting as the connective tissue between engineering, design, GTM, and leadership to ensure initiatives align with company priorities and timelines
• Own end-to-end product lifecycle, from discovery and ideation to scoping, execution, launch, and iteration, especially for complex, technical platform features
• Bringing structure to ambiguity by translating high-level strategy, OKRs, and stakeholder goals into clear product specs and prioritized backlogs
• Measuring product success metrics and telemetry determined on value delivered, usage, and customer satisfaction

Preferred Qualifications

• Experience working with cloud data ecosystems such as Amazon S3, Google Cloud Storage, Snowflake, BigQuery, or similar platforms
• Experience with security tools, standard security practices for sensitive data protection, and frameworks (e.g., NIST, etc.)
• Experience with data privacy regulations (like GDPR, CPRA, etc.), security practices and frameworks, or data governance
• Experience with python, Java, Go, or Ruby
• Experience with Machine Learning or AI
• Bringing curiosity and a growth mindset to the work you do