Senior Product Marketing Manager

Key Responsibilities

Strategic Positioning & Messaging

• Develop differentiated messaging and positioning for AI Nexus business including SASVA iAura and Gen AI Hub tailored to enterprise buyers developers and innovation leaders.
• Translate Persistents complex AI capabilities into clear compelling value propositions for target industries (e.g. healthcare BFSI hi-tech).

Go-to-Market Leadership

• Own the go-to-market strategy for AI Nexus product launches updates and feature rollouts.
• Collaborate with engineering solutioning and delivery teams to align roadmap with market needs and customer feedback.

Customer & Market Insights

• Conduct deep market research on AI trends adoption challenges use cases competitive landscape and customer pain points.
• Build and refine buyer personas and use cases for AI adoption across verticals.

Sales Enablement

• Create sales playbooks competitive battle cards and objection-handling guides specific to AI offerings.
• Train sales and pre-sales teams on AI product capabilities positioning and differentiation.

Content & Campaign Development

• Lead the creation of compelling thought leadership content including whitepapers webinars blogs podcasts and roundtables focused on AI innovation.
• Partner with service line industry and performance marketing teams to build targeted campaigns that drive pipelines for AI products.

Customer Advocacy & Case Studies

• Identify and cultivate customer success stories showcasing real-world impact of SASVA iAura and Gen AI Hub.
• Develop video testimonials case studies and reference materials to support sales and marketing efforts.

Performance & Optimization

• Define KPIs for AI product marketing initiatives and track performance across channels.
• Use data-driven insights to optimize messaging campaigns and content strategy.

Cross-Functional Collaboration

• Act as the voice of the customer in product development discussions.
• Partner with engineering and data science teams to stay ahead of AI advancements and translate them into market-ready narratives.

Qualifications

• Bachelors degree in Marketing Business or related field; MBA or technical background in AI/ML preferred.
• 8 10 years of experience in product marketing with at least 2 years focused on AI ML or data-driven technologies.
• Proven success in launching and scaling AI or SaaS products in B2B environments.
• Strong storytelling skills with the ability to simplify complex technical concepts.
• Experience with marketing automation CRM and analytics tools (e.g. HubSpot Salesforce Google Analytics).

Preferred Skills

• Familiarity with AI frameworks LLMs and enterprise AI deployment models.
• Understanding of data privacy security and compliance in AI applications.
• Experience working with cloud platforms (Azure AWS GCP) and MLOps tools.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties flexible work hours and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life personal accident and Mediclaim hospitalization for self spouse two children and parents