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Katalyze AI is seeking a Deployment Strategist to lead the implementation of its AI platform into biopharma manufacturing operations. In this role, you will be the primary customer partner throughout the deployment lifecycle, starting with scoping and selecting the first high-value use case (such as deviation investigations or batch record review) and continuing through go-live and expansion to additional use cases.
Key responsibilities include:
- Leading end-to-end deployments from initial scoping through go-live and expansion phases
- Mapping customer records, systems, and workflows to identify what each job requires
- Conducting working sessions with MSAT (Manufacturing Science and Advanced Technology), quality, and manufacturing teams both on-site and remotely
- Defining success metrics with customers and reporting progress to their leadership
- Training the experts who will review results and act on them
- Collaborating with customer IT and quality teams on validation, data access, and security reviews
- Translating deployment learnings back to the product and engineering teams to inform future development
The role is based in the San Francisco office with approximately 25-40% travel to customer sites. You will work directly with operators, scientists, and site leadership to ensure successful adoption and trust in the platform's outputs.
Requirements:
- Three or more years of hands-on experience in MSAT, process engineering, quality, or a related manufacturing role
- Direct experience in biologics or pharmaceutical manufacturing
- Working knowledge of GMP, deviations, CAPA, and batch record review
- Ability to lead meetings with operators, scientists, and site leadership
- Strong written communication skills and ability to translate complex requirements into actionable plans
- Willingness to travel to customer sites 25-40% of the time
Nice to have:
- Experience implementing software into regulated manufacturing operations
- Background in consulting, solutions engineering, or other customer-facing technical roles
- Familiarity with MES, LIMS, or QMS platforms
- Some SQL or Python experience
