Workiva

Compensation

Full Description

Description: • Lead customer interviews, workshops, and data analysis to uncover unmet needs and product opportunities • Translate insights into clear problem statements, business requirements, user stories, and product hypotheses • Evaluate opportunities based on customer value, market potential, and technical feasibility • Define early product concepts, including workflows, data structures, and integration requirements, in partnership with engineering and design • Outline MVP scope, success criteria, and validation plans for new product initiatives • Build and test low- and high-fidelity prototypes to assess usability and business value • Define product requirements and user stories for AI-enabled features and automation • Translate business intent into functional AI use cases (e.g., copilots, document intelligence, decision-support tools) • Document model assumptions, governance requirements, and evaluation frameworks to support responsible AI development • Act as the product liaison in customer and stakeholder discussions, articulating value propositions and technical trade-offs • Partner with Product, Engineering, Design, and Marketing to test new product concepts through pilots and iterative experiments • Synthesize learnings to refine product positioning, roadmap priorities, and development strategies • Define and track KPIs for validation-stage product initiatives • Lead retrospective reviews to capture learnings from both successful and failed experiments • Provide recommendations that inform long-term roadmap and product portfolio decisions Requirements: • Bachelor’s degree or equivalent combination of education and experience in a related field • 5+ years of experience in product management, technical consulting, or SaaS pre-sales • Strong knowledge of data infrastructure (SQL, data modeling, ETL/ELT) and modern data stacks (e.g., Spark, dbt, Snowflake) with experience in cloud platforms (AWS, GCP, Azure) • Proficiency in Python or a similar language for prototyping or lightweight automation • Experience contributing to AI/ML-enabled products or features • Familiarity with regulated industries (e.g., finance, audit, compliance) and ability to translate complex business requirements into intuitive software experiences • Proven track record of driving SaaS product initiatives from concept to launch, ideally within innovation labs or new product development environments • Experience building prototypes using low-/no-code tools (e.g., Figma, Retool, Streamlit) and lightweight scripting • Strong communication and stakeholder management skills, with the ability to simplify technical concepts for both internal and client-facing audiences • Comfort working in fast-paced, ambiguous environments that require cross-functional leadership and decision-making. Benefits: • A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match and comprehensive employee benefits package