Senior Deployment Strategist (Engagement Manager)

Katalyze AI, Inc.; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Katalyze AI, Inc. is seeking a Senior Deployment Strategist to lead how our platform is deployed and adopted within flagship pharma and biotech clients.

You will own engagements from discovery through deployment and long-term value expansion, closely partnering with ML Scientists and Platform Engineers to translate problems into scalable solutions. You’ll work with senior stakeholders, drive change management, and identify expansion opportunities to grow client impact and Katalyze AI’s

Qualifications

• 4–8 years of experience in deployment strategy, implementation, or hybrid client-facing technical roles.
• Proven ability to manage complex, multi-stakeholder enterprise deployments or consulting engagements.
• Strong strategic thinking with the ability to see the big picture and drive execution.
• Excellent communication and presentation skills with scientists, engineers, and executives.
• Comfort with ambiguity and fast-moving environments; ability to build structure where none exists.
• Technical literacy: understands data systems and APIs and how software is adopted in large organizations.
• Genuine interest in life sciences, biopharma, or AI-driven transformation.

Responsibilities

• Lead end-to-end client engagements from discovery to deployment and expansion.
• Develop deployment strategies tailored to each client’s manufacturing environment and data landscape.
• Act as the primary strategic point of contact for senior client stakeholders including Operations, Quality, and C-suite.
• Translate complex client problems into concrete use cases and platform configurations with ML Scientists and Platform Engineers.
• Drive change management and user adoption to embed the platform in core workflows.
• Identify and develop expansion opportunities; build long-term roadmaps for client and company growth.
• Track ROI by showing yield improvements and cost savings across engagements.
• Collaborate with the commercial team to support new business development with deployment success stories.
• Contribute to internal playbooks to scale world-class deployments.

Skills

Deployment strategy

Enterprise deployments

Strategic thinking

Change management

Communication

Data & APIs

Education

MBA or advanced degree

Job description

Senior Deployment Strategist (Engagement Manager)

About Katalyze AI

Katalyze AI is a fast-growing AI-driven biotech platform company on a mission to make life-saving drugs accessible and affordable for everyone. Our AI Agents help pharmaceutical and biotech companies increase production efficiency, reduce costs, and minimize waste. We're a team of humble, fast-moving, and curious craftspeople working at the intersection of science and AI.

About the Role

We're looking for a Senior Deployment Strategist (the equivalent of an Engagement Manager at firms like Palantir) to lead how our platform gets deployed and adopted within our most strategic pharma and biotech clients. This is not a traditional account management or sales role — it's a mission-critical position that sits at the intersection of strategic consulting, technical implementation, and enterprise relationship management.

You'll own the full arc of client engagements: from discovery and solution design to hands-on deployment and long-term value expansion. You'll be embedded deeply with clients — understanding their manufacturing challenges, shaping how Katalyze AI's capabilities are applied, and driving transformational outcomes. When a client achieves a yield uplift or eliminates a batch failure, that's your work made real.

This role is ideal for someone who has thrived in a deployment, implementation, or engagement management role at a tech-forward company or top-tier consultancy, and who wants to work at the frontier of AI in life sciences.

What You'll Do

Lead end-to-end client engagements — from initial discovery and scoping through deployment, adoption, and expansion

Develop deployment strategies tailored to each client's manufacturing environment, data landscape, and regulatory context

Act as the primary strategic point of contact for senior client stakeholders, including Operations, Quality, and C-suite leaders

Translate complex client problems into concrete use cases and platform configurations, in close partnership with our ML Scientists and Platform Engineers

Drive change management and user adoption to ensure our platform becomes embedded in clients' core workflows

Identify and develop expansion opportunities, building long-term roadmaps that grow both client impact and Katalyze AI's footprint

Track and communicate ROI — yield improvements, cost savings, deviation reductions — as a core part of every engagement

Partner with the commercial team to support new business development, leveraging deployment successes as proof points

Contribute to internal playbooks and best practices, helping scale how Katalyze AI runs world-class deployments

What We're Looking For

4–8 years of experience in deployment strategy, implementation, management consulting, or a hybrid client-facing technical role

Demonstrated track record of managing complex, multi-stakeholder enterprise deployments or consulting engagements

Strong strategic thinking — you can zoom out to see the big picture and zoom in to drive execution

Excellent communication and presentation skills; you can engage credibly with scientists, engineers, and executives alike

Comfort with ambiguity and fast-moving environments — you build structure where none exists

Technical literacy: you don't need to write code, but you understand data systems, APIs, and how software gets adopted inside large organizations

A genuine interest in life sciences, biopharma, or AI-driven transformation

Nice to Have

Experience in pharma, biotech, or life sciences environments (especially manufacturing or quality)

Familiarity with GxP frameworks, regulated manufacturing, or compliance-heavy industries

Prior experience at a company known for high-intensity deployments (Palantir, C3.ai, Veeva, McKinsey, BCG, Accenture, etc.)

MBA or advanced degree in science, engineering, or business

Experience with change management methodologies