Principal Product Manager - AI

Principal Product Manager - AI at SIMPPLR INC

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

0.0

Posted On

29 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Product Management, AI, Machine Learning, APIs, Enterprise SaaS, Natural Language Processing, Data Science, Technical Communication, Agile Development, AI Governance, User Experience, Analytical Mindset, Customer Success, Collaboration, Technical Acumen, Product Roadmaps

Software Development

Description

Description Who We Are Simpplr is the AI-powered platform that unifies the digital workplace – bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology.

More than 1,000 leading organizations – including AAA, the NHS, Penske, and Moderna – trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at  Product Manager –AIThe Opportunity We’re looking for a highly skilled Senior/Principal Product Manager to join our Product Management team.

In this role, you’ll help shape the future of our AI platform by defining, building, and scaling AI-powered capabilities that improve employee experience across the Simpplr platform. You’ll work closely with AI engineers, data scientists, product managers, and cross-functional teams to deliver intelligent features, services, and models that power personalized, contextual, and action-oriented experiences for our users. From AI-driven content discovery and conversational experiences to intelligent automation and predictive insights, you’ll help drive the strategy and execution behind the next generation of AI capabilities for Simpplr.

This role requires good technical fluency in AI and ML concepts, APIs, and enterprise SaaS products. You’ll be responsible for translating complex AI capabilities into scalable product features that drive tangible customer outcomes. Your job responsibilities: what you will be doing Collaborate with the engineering and product leadership teams to define and execute the roadmap for Simpplr’s AI platform and services.

Partner with product managers and designers to identify high-impact AI use cases across the employee experience platform, ensuring alignment with customer needs and business goals. Define product requirements, user stories, and success metrics for AI-driven features and services. Work closely with AI engineers and data scientists to translate product requirements into AI model designs, APIs, services, and integrations. Prioritize AI initiatives based based on customer impact, technical feasibility, and business value, ensuring timely and high-quality delivery.

Setup evals to assess AI feature performance, model accuracy, and user experience improvements. Develop frameworks and guidelines to responsibly govern AI usage, ensuring accuracy, fairness, security, privacy, and explainability in AI-driven experiences. Collaborate with Customer Success, Support, and Sales teams to drive AI feature adoption, enablement, and customer education. Stay current with AI, ML, and GenAI trends, frameworks, and responsible AI practices, proactively identifying opportunities to improve and differentiate Simpplr’s platform.

Be a subject matter expert on enterprise AI productization, providing internal guidance and thought leadership across product, engineering, and go-to-market teams. Your skillset: what makes you a great fit for the team Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field. Product management experience in enterprise SaaS, with at least 2+ years focused on AI/ML-driven products or platforms.

Strong technical acumen with a foundational understanding of AI/ML concepts, including supervised and unsupervised learning, NLP, GenAI, embeddings, LLMs, model governance, and AI…