Title: UX Designer III (Conversational AI / NLP Specialist)
Location: Remote
Duration: 8+ Months
Must-Have Skills:
- Hands-on experience with AI solutions (conversational AI / NLP)
- Can act as the link between business and engineering teams
- Comfortable with AI architecture and evaluation
Nice-to-Have Skills:
- Salesforce experience
- Experience with workforce optimization projects
- Experience leading a pod or project
Degrees/Certifications:
- No degree required; 5+ years of hands-on conversational AI/NLP experience is expected. A Master's in a technical field is a plus.
Key Projects/Day-to-Day Responsibilities:
- Lead a workforce optimization project that uses
- Salesforce Act as the go-between for engineering and business teams
- Take over the pod lead duties of the FTE on leave
- May later move into a front-facing role working directly with employees
Description:
- This role is for a Conversational AI & NLP specialist, an autonomous, driven individual contributor that will support delivering internal AI products and services for Global People Operations functions. We're looking for an expert with:
- Domain knowledge of conversational AI, especially as it pertains to compassionate customer support, workflow integration opportunities, and scalable self-service. Outstanding skills in statistical analysis, machine learning methods and text representation techniques.
- Experience collaborating across business stakeholders and engineering partners to scope, design, test, and deliver world-class AI solutions.
Responsibilities:
- Research and share industry best practices and cutting edge approaches to elevating conversational AI beyond traditional "HR" practices Use NLP techniques to transform natural language data that feeds classification algorithms Collaborate with engineers and applied research scientists to deliver efficient algorithms and robust systems that scale to support global Meta employees Understand how data from API calls, databases, and other technologies fit into design, and collaborate with developers on implementing solutions Develop the technical direction for conversational assistants for Meta's People teams, making connection with other areas of the company to develop standards Translate high-level business requirements into detailed system-level and functional requirements for technical implementation Create and refine thorough, accurate flow diagrams and other related documentation to communicate the behavior of a complete conversational system Contribute to requirements gathering, user stories, estimates, and roadmapping When needed, design and lead different types of testing (A/B, focus groups, usability testing, QA), synthesize results, and iterate based on results to ensure customer-centric and highly usable products Educate colleagues and stakeholders so the entire team understands key tenets of conversation designs Contribute to the development of proof of concepts and/or pilots while working with XFN partners
Minimum Qualifications
- 5+ years of experience solving problems with Conversational AI in an academic or professional setting
- A track record of applying strategy, user-centered approaches and insights to your work
- An ability to create and evolve concepts in a collaborative environment through team and stakeholder reviews; can bring new ideas to the table
- A knowledge of design principles, standards and UX best practices
- Think beyond individual design and project requirements to see the bigger picture - how your work ties into the larger ecosystem and platform strategy.
- Collaborate and build rapport with design, product, data and tech partners in an agile environment
Preferred Qualifications
- Master's Degree in Computer Science, Computational Linguistics, Engineering, Informatics, or equivalent experience
- Experience delivering detailed copy decks, including edge cases, versioning and metadata
Types of Interviews:
2-3 people loop
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Spectraforce Technologies
Nov 04, 2026