Senior Manager, Product Management - Text Analytics
About the role
Text is where our customers' most valuable insights live, and this role sits at the absolute center of how we unlock them. You will lead the strategy and execution to evolve our mature, highly adopted text analysis engine from classical ML/rules-based structures into a cutting-edge hybrid architecture that leverages LLMs for enterprise scale.
Responsibilities
- Balance Innovation with Pragmatism: Possesses excellent judgment on when to deploy classical ML, LLMs, or hybrid solutions based on cost, latency, accuracy, and explainability.
- Lead and Empower: Coaches, mentors, and builds high-performing product managers, holding the team accountable to clear outcomes while fostering their career growth.
- Navigate Ambiguity: Comfortably charts a path forward through rapid AI/ML advancements, turning complex technological shifts into clear, executable product roadmaps.
- Collaborate Generously: Bridges the gap between deeply technical applied science/engineering teams and cross-functional partners like legal, privacy, and go-to-market.
- Customer-Obsessed: Regularly engages with enterprise customers to translate their pain points into robust, scalable platform capabilities.
Requirements
On Your Resume
- Proven PM Leadership: Extensive experience in product management, including a proven track record (>3 years) of directly managing, coaching, and developing other product managers.
- AI/ML Product Delivery: Demonstrated success building and shipping NLP, text analytics, machine learning, or AI-powered enterprise software at scale.
- Technical Fluency: Deep understanding of classical ML/NLP techniques (topic modeling, classification) and modern LLM mechanics (prompting, fine-tuning, RAG, and evaluation metrics).
- Strategic Trade-off Management: Experience building cost, latency, and performance models for large-scale production deployments of ML or LLM systems.
- Proven PM Leadership: Extensive experience in product management, including a proven track record (>3 years) of directly managing, coaching, and developing other product managers.
- AI/ML Product Delivery: Demonstrated success building and shipping NLP, text analytics, machine learning, or AI-powered enterprise software at scale.
- Technical Fluency: Deep understanding of classical ML/NLP techniques (topic modeling, classification) and modern LLM mechanics (prompting, fine-tuning, RAG, and evaluation metrics).
- Strategic Trade-off Management: Experience building cost, latency, and performance models for large-scale production deployments of ML or LLM systems.
- Proven PM Leadership: Extensive experience in product management, including a proven track record (>3 years) of directly managing, coaching, and developing other product managers.
- AI/ML Product Delivery: Demonstrated success building and shipping NLP, text analytics, machine learning, or AI-powered enterprise software at scale.
- Technical Fluency: Deep understanding of classical ML/NLP techniques (topic modeling, classification) and modern LLM mechanics (prompting, fine-tuning, RAG, and evaluation metrics).
- Strategic Trade-off Management: Experience building cost, latency, and performance models for large-scale production deployments of ML or LLM systems.
Qualifications
On Your Resume
Skills
On Your Resume
Benefits
dedicated growth time, tech stipend, experience care, Qualtrics Hybrid Work Model, sign-on bonus, restricted stock units, medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus.
Pay
Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits.
Schedule
Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.