Director of Data Product Management at Equinix shaping data strategies and AI roadmap. Collaborating with engineering and data science to drive product strategy and business impact.
About the role
- Principal Product Manager focusing on vision and strategy for Gainsight’s Customer Success platform. Collaborating with cross-functional teams in a hybrid role based out of India.
Responsibilities
- Set strategy & roadmap: Define the multi-quarter vision, strategy, and OKRs for your product area; align with execs and adjacent product teams to drive a coherent story.
- Lead customer discovery: Run structured discovery with admins, end users, IT, and exec sponsors; translate insights into PRDs, user stories, acceptance criteria, and low-fi wireframes and prototypes.
- Deciding what to build: Work closely with application teams, customers, sales, services, customer success, engineering and other cross-functional groups to prioritize new features and functionality based on business objectives and engineering estimates.
- Saying No: Gainsight is in a large market with multiple prospects and customers asking for many things. You’ll have to make tough calls in prioritizing and communicating why;
- Executing on roadmap: Collaborate daily with engineering team in a fast-paced Agile/Scrum development process to deliver new features and functionality;
- Partner on go-to-market: Work with Product Marketing and CS on positioning, pricing/packaging, launches, enablement, and competitive analysis; instrument and read the funnel post-launch.
Requirements
- 5+ years of product management and 8+ years of overall experience preferably in a large B2B SaaS company
- Data-led judgment & bias to action: You quantify trade-offs, build just-enough models, and move work forward creating options, unblocking dependencies, and delivering incremental wins without waiting for perfect inputs.
- Strong customer and stakeholder empathy: You can represent the voices of customers, Marketing, Sales, Engineering, Support, Customer Success, and Operations.
- Leverage and Prototype with AI daily: You’re comfortable prompting ChatGPT while elevating necessary content, removing AI slop and hacking quick demos in Python/TypeScript or vibe code tools.
- Modern delivery practices: Intimately familiar with agile software development used to build and ship web, mobile and AI applications.
- Platform & technical fluency: End-to-end ownership of a platform or data/integration-heavy area in an enterprise environment; fluency with APIs/SDKs, data models, ETL, identity & permissions; You’ve shipped both platform primitives and user-facing experiences.
- Demonstrated ability to lead multidisciplinary teams and projects
- Customer Success / post-sales domain expertise; You’ve built or sold tools for Customer Success, Renewals, Professional Services, or adjacent revenue teams, and know their KPIs and pain points.
- Applying AI/LLMs to enterprise product experiences (summarization, recommendations, copilots) with emphasis on safety, governance, and evaluation.
- Pricing & packaging, monetization, and commercial experimentation (e.g., packaging APIs/connectors, usage-based models).
Benefits
- full health coverage (including OPD)
- wellness and mental health resources
- flexible remote work options
- childcare assistance
- dedicated Recharge Holidays - one long weekend each quarter to relax and reset
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