Customer Success Strategist
Location: Mumbai | Experience: Flexible | Industry: SaaS / AI / BFSI
Join a high-growth AI company at the forefront of Revenue Intelligence for Enterprises. As a Customer Success Strategist, you'll go beyond day-to-day account management to shape strategy, drive adoption, and play a key role in helping India’s top financial institutions unlock business value from cutting-edge generative AI solutions.
This role offers a unique blend of strategic thinking, stakeholder engagement, and hands-on execution — ideal for someone who wants to grow into a senior client-facing or product leadership role in the fast-evolving AI space.
What You’ll Be Doing
Strategic Partnering: Build strong, consultative relationships with senior stakeholders at client organizations. Act as a trusted advisor who understands their goals and helps them realize measurable ROI.
Client Onboarding & Enablement: Lead seamless onboarding journeys, ensuring quick time-to-value and adoption of mission-critical features within our speech analytics platform.
Growth Driver: Identify and pursue upsell and cross-sell opportunities by understanding client needs and uncovering new use cases aligned with their evolving strategy.
Success Planning: Design and execute proactive customer success strategies that help clients meet their business KPIs - and turn our platform into a growth lever.
Insight-Backed Retention: Monitor account health, preempt churn risks, and act fast with insights-driven playbooks that keep clients engaged and satisfied.
Use Case Development: Collaborate with clients to refine speech analytics use cases that solve real business problems - from collections optimization to compliance automation.
Product Influence: Channel client feedback and field insights to the product team, shaping roadmap decisions and enhancing feature relevance.
Executive Business Reviews: Lead quarterly success reviews and check-ins, showcasing impact, aligning on goals, and unlocking new collaboration opportunities.
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Cross-Functional Collaboration: Partner with sales, product, and operations teams to ensure seamless handovers, unified goals, and strong account momentum.
Best Practice Champion: Help build scalable success frameworks, playbooks, and knowledge-sharing processes to level up the customer experience across the board.
What You’ll Gain
Exposure to AI Developments: Deepen your understanding of speech AI, customer
analytics, and use-case development in a real-world enterprise context.
CXO-Level Engagement: Regularly interact with senior leaders at banks, NBFCs, and fintechs — building a network of influential decision-makers.
Fast-Track Career Path: As a core team member in a high-growth startup, you’ll have visibility, ownership, and real influence - with a clear path to leadership.
Startup Velocity: Work in a lean, fast-moving environment where your work creates immediate impact and innovation is welcomed at every level.
Product + Strategy Blend: Operate at the intersection of business success and product thinking - contributing to GTM strategies and platform evolution.
What We’re Looking For
Excellent communication and relationship-building skills, especially with senior stakeholders.
Strategic thinker with strong analytical and problem-solving abilities.
Self-starter who thrives in fast-paced, ambiguous environments.
Bonus: Experience in AI/ML, Prompt Engineering, or working with BFSI clients.
Skills Required
- Excellent communication and relationship-building skills with senior stakeholders
- Strategic thinker with strong analytical and problem-solving abilities
- Self-starter who thrives in fast-paced, ambiguous environments
- Experience in AI/ML, Prompt Engineering, or working with BFSI clients
What We Do
GreyLabs AI is an Agentic Voice AI platform transforming how financial institutions, including banks, fintechs, insurance companies, and broking firms, engage with their customers. The company specializes in automating contact centers using Voice AI Agents capable of sales, support, and collections across multiple Indian languages, blending speech analytics and conversational intelligence to drive higher conversions and lower operating costs.








