Technical Product Manager
As Relyance AI’sTechnical Product Manager - Core Platform, you will help bring new products and improve existing foundational product offerings at Relyance AI. This role demands a deep understanding of system architecture, platforms and the evolving data security, privacy, and the AI landscape that addresses critical customer challenges. You’ll lead efforts to build new platform features and improve existing core services that serve as the backbone of our product suite. This role requires you to think critically and craft products with first principles. You will work closely with cross-functional teams, including Engineering, Customer Success, Sales, and Legal, to deliver high-quality, impactful products that empower our customers to protect their data and ensure compliance. As a Technical Product Manager, your role will include: This role could be a fit for you if you bring: Bonus points for: Who are we? At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. Relyance AI is proud to be an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. - 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. - Have 3+ years of product management experience, including shipping technical products (e.g., APIs, platforms, infrastructure). - Have directlyinterfaced 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. - 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.
Location: Bangalore, India (Remote)
Salary range: None - None