Workiva

Product Development Consultant

Workiva

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $111,000 - $178,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL

About the role

  • 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
Soft skills
communicationstakeholder managementcross-functional leadershipdecision-makingproblem-solvingcustomer engagementadaptabilitycollaborationcritical thinkingsynthesis
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