Technical Product Manager

Position Overview

• Location Type: [Not Specified]
• Job Type: [Not Specified]
• Salary: [Not Specified]

Relyance AI is seeking a Technical Product Manager - Core Platform to lead the development and improvement of foundational product offerings. This role requires a deep understanding of system architecture, platforms, and the evolving data security, privacy, and AI landscape. You will be responsible for building new platform features and enhancing existing core services that form the backbone of Relyance AI's product suite, addressing critical customer challenges through first-principles thinking. You will collaborate closely with Engineering, Customer Success, Sales, and Legal to deliver impactful products that help customers protect their data and ensure compliance.

Responsibilities

• Build and evolve foundational platform capabilities, including common services, ingress/egress layers, telemetry pipelines, identity and access primitives, and developer-facing APIs.
• Deeply understand user needs by engaging with customers, mapping workflows, identifying pain points, and aligning on desired outcomes.
• Drive cross-functional collaboration as the liaison between engineering, design, GTM, and leadership to ensure initiatives align with company priorities and timelines.
• Own the end-to-end product lifecycle, from discovery and ideation to scoping, execution, launch, and iteration, particularly for complex, technical platform features.
• Translate high-level strategy, OKRs, and stakeholder goals into clear product specifications and prioritized backlogs.
• Measure product success through defined metrics and telemetry, focusing on value delivered, usage, and customer satisfaction.

Requirements

• 3+ years of product management experience, with a track record of shipping technical products (e.g., APIs, platforms, infrastructure).
• Proven experience directly interfacing with customers through roadmap discussions, feedback loops, or support escalations, and translating their needs into platform capabilities.
• Deep familiarity with APIs, developer platforms, and integrations, including authentication models (OAuth, API keys), versioning strategies, and standard architectural patterns (REST, event-driven).
• Experience in B2B SaaS, with technical fluency and an ability to understand modern software systems (microservices, APIs, client-server architecture).
• Excellent written and verbal communication skills for articulating product requirements, customer challenges, and GTM messaging to diverse stakeholders, including executives, engineering, GTM teams, and end-users.
• Ability to adapt to changing company needs and take on varied responsibilities in a fast-growing, dynamic organization.

Bonus Points

• Experience 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).
• Experience with data privacy regulations (e.g., GDPR, CPRA), security practices, frameworks, or data governance.
• Experience with programming languages such as Python, Java, Go, or Ruby.
• Experience with Machine Learning or AI.
• A curious and growth-oriented mindset.

About Relyance AI

Relyance AI fosters an unreasonably hospitable and data-driven culture. We are committed to exceeding customer and internal expectations in every interaction. Our team members are empowered to solve problems proactively using data, craft personalized experiences, and radiate enthusiasm.