Remotery

Engagement Manager, Life Sciences

atDomino Data LabRemoteUS flagNew YorkFull-timeManagerMid-levelSenior$180k – $220k/year

Posted Jul 21

This is a fully remote position, open to applicants in New York.

📋 Description

• Take ownership of the customer program from start to finish: starting with the contract signing and leading through to expansion. Your focus is on outcomes rather than activities, ensuring that every engagement you manage has a single responsible owner (you), defined milestones, and a rhythm that keeps all parties (internally and externally) aligned as the program manager.

• Collaborate with the account team to guarantee that each engagement is structured for excellence, aligning what has been sold with what can be effectively executed.

• Lead the delivery team (which includes our Forward Deployed Engineers and Integration & Architecture teams) for customer engagements. Allocate resources where they will yield the highest value and maintain program timelines across milestones, communication with stakeholders, and account health.

• Build trust at all levels: from C-suite executives to data scientists operating models in production. You bridge the gap between strategic objectives and everyday delivery.

• Facilitate solution discussions: link how Domino constructs, scales, and governs AI to the results that customer leadership genuinely values. You operate as an equal partner, not merely a vendor.

• Ensure successful adoption: drive deployment, training, and change management so that the solutions your team delivers are utilized effectively rather than left unused.

• Transform customer engagements into opportunities for growth in collaboration with customer success and sales — proactively identifying new use cases and expansion possibilities, qualifying them, and channeling them back to internal teams to enhance the pipeline.

• Represent the customer's perspective within Domino: translate field insights into product feedback, escalations, and commercial indicators that enhance the overall team’s knowledge.


⛳️ Requirements

• 3–5 years of experience in an enterprise customer-facing role: such as implementations, consulting, technical program management, or product management. The depth and complexity of your experience are more important than the job title.

• A background in life sciences, where reproducibility, auditability, and compliance are critical, is a significant advantage.

• You take initiative even when the problem isn't fully articulated: comfortable navigating situations where the customer struggles to define the issue and treating uncertainty as the starting point.

• You convert ambiguous executive discussions into actionable plans: linking model development, deployment, and governance without losing sight of what truly matters.

• You possess sufficient knowledge about how enterprise data science teams build, scale, and govern models to ask insightful questions before the customer recognizes the need for answers.

• You take real ownership of delivery throughout entire cycles, rather than merely coordinating efforts. You maintain an execution rhythm, stand firm when challenges arise, and avoid creating unnecessary bureaucracy.

• Technically adept in software architecture, predictive modeling, and agentic systems: able to engage hands-on when necessary and quickly learn new domains.

• Naturally solutions-oriented. You escalate issues with a proposed solution, rather than merely presenting a problem, and seek to leverage AI to enhance efficiency and effectiveness.


🏝️ Benefits

• Equity

• Company bonus or sales commissions/bonuses

• 401(k) plan

• Medical, dental, and vision benefits

• Wellness stipends

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