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Founding Deployment Strategist

Poka Labs· Operations
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San Francisco, CA$140k - $200kFull-timePosted 5mo ago

About the role

Poka Labs is seeking a Founding Deployment Strategist to bridge customers and engineering, drive successful product adoption, and help shape the product roadmap. This role combines implementation management, customer success, and product coordination for an AI pricing/quoting platform deployed in manufacturing.

Responsibilities

  • Deeply understand customers current workflows and work with our engineering team to configure our product.
  • Basic data cleaning and organizing to get a customer up and running
  • Meet with customers on a regular cadence to understand what's going well and where we are following short.
  • Monitor logs and other error signals to catch and resolve issues before our customers do
  • San Francisco in office 5 days a week
  • Travel up to 25% of the time

Qualifications

  • 3-8 years in a technical customer-facing role (consulting, solutions engineering, implementation, or similar)
  • Have a technical background or experience using Claude Code, with a willingness to dive into code as needed
  • Strong customer empathy and ability to explain highly technical concepts to a less technical audience
  • Willing to handle dynamic, cross-functional responsibilities across the company

Skills

Required:Technical customer-facing experienceWorkflow understanding & product configuration
Last updated Sep 23, 2026. Interested? Apply on the company site.
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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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