Dayforce - Senior Product Manager

Experience : 8 to 10 Years

About the Position:

Were looking for a technically strong Senior Product Manager - AI Platform to help drive core AI and search platform initiatives. In this role, you will lead the product execution for the further development and maintenance of a modern search platform, support our internal Agent/LLM framework, and work closely with engineering to deliver high-quality, AI-powered capabilities across the company.

This is a hands-on role ideal for PMs with experience in search, NLP, and AI systems, who enjoy working in fast-paced, highly technical environments.
What Youll Do

- Help build and lead a team in building AI-first features used by millions of Dayforce customers

- Work to translate customer-facing problems into solutions within Dayforce

- Support and enhance our internal MCP-based Agent framework

- Build and maintain LLM evaluation datasets

- Validate data quality and assist with model/agent iteration cycles, both manually and with automation

- Write user stories, manage the backlog, and partner closely with engineering

- Produce clear documentation and align cross-functional teams

- Drive the further development of our search feature

- Coordinate schema, indexing, ingestion readiness, and relevance tuning

- Run manual QA and ensure search quality through testing and evaluation
Whats in it for you

Encouragement to be the best version of yourself at and away from work:

- YOUnity diversity and inclusion programs

- Amazing time away from work programs

- Support for your total well-being through our Live Well, Work Well programs targeting all aspects of your life

- Recognition for your contributions through excellent pay, perks, and rewards

- Giving where youre living: volunteer days, Dayforce sponsored events, and our very own charity, Dayforce Cares

- Opportunities to fuel your career growth through numerous internal and external programs and events
What Were Looking For

- 6+ Years PM/PO experience in a technical product area

- Hands-on experience with search technologies (Elastic, Solr, Azure Cognitive Search, etc.)

- Background in NLP, ML, or AI-driven products

- Familiarity with vector search, embeddings, and relevance tuning

- Strong cross-team coordination and communication skills

- Comfortable with hands-on tasks: data work, QA, evaluation, testing

- Technical depth: able to inspect JSON/API responses, logs, schemas, metrics
Nice to have

- Experience with internal/platform products or frameworks

- Experience working with distributed teams

Why Join Us

- Work on high-impact AI and search infrastructure

- Build platform capabilities used across multiple product teams

- Collaborate with global engineering partners (India, Canada, US, Australia)

- Grow with a small but rapidly expanding team in a strategic area