Senior Manager, Product Management - Text Analytics

Qualtrics•Seattle, WA

1d•Hybrid

About The Position

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. We are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing. 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. Leading a dedicated team of product managers and partnering deeply with applied science and engineering, you will directly influence how over 18,000 global clients understand open-ended feedback, conversations, and unstructured data across the entire Qualtrics ecosystem.

Requirements

Extensive experience in product management, including a proven track record (>3 years) of directly managing, coaching, and developing other product managers.
Demonstrated success building and shipping NLP, text analytics, machine learning, or AI-powered enterprise software at scale.
Deep understanding of classical ML/NLP techniques (topic modeling, classification) and modern LLM mechanics (prompting, fine-tuning, RAG, and evaluation metrics).
Experience building cost, latency, and performance models for large-scale production deployments of ML or LLM systems.

Nice To Haves

Balances Innovation with Pragmatism: Possesses excellent judgment on when to deploy classical ML, LLMs, or hybrid solutions based on cost, latency, accuracy, and explainability.
Leads and Empowers: Coaches, mentors, and builds high-performing product managers, holding the team accountable to clear outcomes while fostering their career growth.
Navigates Ambiguity: Comfortably charts a path forward through rapid AI/ML advancements, turning complex technological shifts into clear, executable product roadmaps.
Collaborates 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.

Responsibilities

Define and execute a multi-year hybrid roadmap that seamlessly blends classical NLP precision with the reasoning power of LLMs across all Qualtrics product lines.
Design and implement rigorous evaluation frameworks and quality benchmarks to balance model accuracy against latency, cost, and enterprise reliability.
Continuous investment in existing rules-based and ML systems to steadily improve topic detection, sentiment analysis, and maintainability for legacy clients.
Lead, scale, and establish clear operational priorities for a team of product managers covering various portfolios within text analytics.
Partner with engineering, applied science, data privacy, and product marketing to transform complex models into shippable, compliant, and highly marketable features.
Regularly engages with enterprise customers to translate their pain points into robust, scalable platform capabilities.

Benefits

Dedicated Growth Time: We fiercely protect time for individual development, spending 10% of our time every quarter on learning, growth activities, and exploring new AI/ML tooling.
Tech Stipend: Team members receive a quarterly learning stipend to use on books, courses, or subscriptions to keep ahead of the curve in data science and AI space.
Experience Care: Generous wellness, mental health benefits, and regular team-building experiences designed to keep our close-knit, high-functioning team connected.
medical
dental
vision
life and disability
401(k) with match
paid time off
a wellness reimbursement
mental health benefits
an experience bonus