Product Designer (Contract)
About the role
Contract product designer role at Poka Labs to design and improve AI-assisted quoting and pricing workflows for B2B industrial/manufacturing customers. Remote, part-time (~10–15 hours/week) with potential to extend.
Responsibilities
- Build understanding of product and customers to make decisions in context.
- Turn requirements, customer feedback, and conversations into clear user flows and concrete designs.
- Identify missing requirements, edge cases, and tradeoffs before engineering starts building.
- Produce implementation-ready screens, prototypes, and concise interaction notes.
- Work with engineers through implementation and refine designs based on feedback.
- Establish reusable patterns to enable more consistent development.
Qualifications
- Experienced product designer with strong UX judgment.
- Experience designing B2B software with substantial workflows, tables, approvals, or information-heavy interfaces.
- Ability to reason through ambiguous product problems and explain decisions.
- Good instincts for hierarchy, progressive disclosure, and user next steps.
Skills
Benefits
- Weekly design touchpoints with founders/engineers.
- Hands-on design role with direct access to the founders and engineers.
- Flexible, monthly retainer-based collaboration.
- Opportunity to work on AI features and core interactions in a small team.
About Poka Labs
The modern operating system for chemical manufacturing.
Poka Labs is developing an AI platform to automate operations tasks in chemical manufacturing, beginning with production scheduling. Traditionally, these tasks are performed manually using spreadsheets. Our software seamlessly integrates with existing data sources such as data historians, emails, and PDFs to automate analytics, scheduling, changes, and communication within a single platform. Malay and Andrew met while pursuing their MBAs at Harvard Business School. Malay previously worked as an engineer in the specialty chemical industry, saving his employers over $100 million across US, China, and German plants. Andrew worked as a software engineer on data infrastructure at Meta and optimization problems at a seed-stage startup. He also completed a Masters degree at Harvard specializing in Machine Learning.
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