Senior Product Manager - SaaS Domain

Key Responsibilities :

- Own the product vision, strategy, and roadmap for enterprise-grade, cloud-native SaaS solutions focusing on scalability, reliability, and high-performance architecture.

- Collaborate with engineering, data science, and design teams to translate customer needs and business objectives into well-defined technical requirements, API specifications, and product deliverables.

- Leverage telemetry, usage analytics, and A/B testing to derive actionable insights that guide prioritization and continuous improvement.

- Drive product discovery through technical deep dives understanding system integrations, data flows, and API dependencies to inform decisions.

- Manage complex trade-offs involving scalability, performance, and security while ensuring seamless user experience and business value alignment.

- Define KPIs and success metrics for product releases, ensuring quantifiable impact on user adoption, engagement, and retention.

- Partner with DevOps and architecture teams to ensure seamless CI/CD deployment, observability, and high system uptime.

- Lead product development from 0?1 to 1?N, ensuring consistent technical documentation, release governance, and stakeholder alignment across functions.

Required Skills & Experience :

- 5+ years of product management experience in B2B SaaS, enterprise software, or cloud platforms.

- Proven experience in building or scaling data-driven, workflow-intensive, and multi-tenant products.

- Strong understanding of SaaS architecture, including APIs, microservices, data pipelines, and integrations.

- Proficiency in defining PRDs, user stories, and acceptance criteria aligned with Agile/Scrum best practices.

- Analytical expertise : experience with SQL, product analytics tools (e.g., Amplitude, Mixpanel, GA4), and data visualization.

- Technical fluency to engage effectively with engineers on system design, API schemas, and performance trade-offs.

- Strong background in prioritization, roadmap management, and stakeholder alignment in fast-paced environments.

- Excellent communication, presentation, and influence skills across technical and non-technical audiences.

- A builders mindset capable of driving innovation from concept through iterative scaling.

Nice to Have :

- Experience across the entire product lifecycle from discovery, MVP development, GTM to post-launch optimization.

- Exposure to AI/ML or data-centric products, with an understanding of model lifecycle management and ethical AI principles.

- Experience integrating products with enterprise systems (CRM, ERP, IAM, or data warehouses).

- Strong analytical acumen with ability to balance technical feasibility, customer value, and business ROI.

- Demonstrated ownership and leadership potential ability to drive cross-functional initiatives with limited oversight