Principal Product Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Product Manager - AI in India.

In this role, you will lead the strategy, design, and execution of AI-powered capabilities within a dynamic enterprise SaaS environment. You will collaborate closely with engineering, data science, and cross-functional teams to build intelligent features, predictive insights, and personalized experiences that elevate the employee experience. This position offers the opportunity to translate complex AI technologies—such as LLMs, NLP, and generative AI—into scalable, customer-facing solutions. You will define roadmaps, prioritize initiatives, and ensure responsible AI practices are embedded throughout the product lifecycle. With a focus on innovation and measurable impact, this role empowers you to influence product strategy and drive adoption across global enterprise clients.

Accountabilities:

• Define and execute the roadmap for AI-driven product capabilities, aligning initiatives with business goals and customer needs.
• Partner with product managers, designers, and AI engineers to identify high-impact AI use cases.
• Translate product requirements into AI model designs, APIs, and integrations.
• Prioritize AI initiatives based on technical feasibility, business value, and user impact.
• Develop evaluation frameworks to assess model performance, accuracy, and user experience.
• Establish responsible AI guidelines covering accuracy, fairness, security, privacy, and explainability.
• Collaborate with Customer Success, Support, and Sales teams to drive adoption and education.
• Stay updated on AI/ML trends, frameworks, and best practices to inform product strategy.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
• 2+ years of product management experience focused on AI/ML-driven enterprise SaaS products.
• Technical fluency in AI/ML concepts including supervised/unsupervised learning, NLP, embeddings, LLMs, and GenAI integrations.
• Experience translating complex AI technologies into scalable, customer-facing solutions.
• Familiarity with AI/ML APIs, model evaluation, and responsible AI practices.
• Strong understanding of AI product metrics: model accuracy, relevance, confidence scoring, latency, and user feedback loops.
• Experience in agile product development and roadmap management.
• Excellent communication skills, capable of conveying AI concepts to technical and non-technical stakeholders.
• Analytical mindset, data-driven decision-making skills, and a growth-oriented, self-starter attitude.
• Bonus: hands-on experience with AI platforms like Azure AI, AWS Bedrock, Google Vertex AI, or third-party GenAI models.

• Competitive salary and performance-based incentives.
• Flexible Hub-Hybrid-Remote work model according to role requirements.
• Opportunity to work on cutting-edge AI features within enterprise SaaS products.
• Professional growth and exposure to cross-functional global teams.
• Access to continuous learning, training, and AI-related development programs.
• Collaborative, inclusive work environment with emphasis on innovation and impact.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job's core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps—such as interviews or additional assessments—are then made by their internal hiring team.

Thank you for your interest

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