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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisproduct managementSQLdata modelingETLELTPythonAIMLprototyping