
Engagement Manager β Lead
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in New York.
β’ Take full ownership of the customer program from the signing of the contract to its expansion. You are responsible for results, not just activities, and every engagement you oversee has a designated owner (you), clear milestones, and a structured cadence to keep all parties (internally and externally) on track as the program manager.
β’ Collaborate with the account team to ensure that each engagement is designed for excellence, aligning what has been sold with what can be delivered.
β’ Manage the delivery team (including our Forward Deployed Engineers and Integration & Architecture teams) for customer engagements. Allocate resources where they will deliver the most value and keep programs aligned with milestones, stakeholder communication, and overall account health.
β’ Build trust at all levels: from C-suite sponsors to the data scientists implementing models in production. You bridge the gap between strategic objectives and daily execution.
β’ Facilitate solution discussions: link how Domino constructs, scales, and governs AI to the outcomes that customer leadership values. You act as a peer rather than a vendor.
β’ Ensure successful adoption: lead the rollout, enablement, and change management to ensure that what your team develops is utilized rather than left unused.
β’ Transform customer engagements into growth in collaboration with customer success and sales β actively identifying new use cases and expansion opportunities, qualifying them, and directing them back to internal teams to enhance the pipeline.
β’ Represent the customer's voice within Domino: translate field intelligence into product feedback, escalations, and commercial insights that benefit the wider team.
β’ 4β8 years of experience in an enterprise customer-facing role: implementations, consulting, technical program management, or product. The level of expertise and complexity is more significant than the job title.
β’ You take initiative before issues are fully defined: comfortable navigating situations where the customer has not yet pinpointed the problem and viewing ambiguity as a starting point.
β’ You convert unstructured executive discussions into actionable plans: linking model development, deployment, and governance while maintaining focus on what truly matters.
β’ You possess enough knowledge about how enterprise data science teams build, scale, and govern models to ask pertinent questions even before the customer recognizes the need for them.
β’ Demonstrated real delivery ownership throughout full cycles, not just coordination. You maintain an execution rhythm, stand firm in challenging situations, and avoid creating unnecessary bureaucracy.
β’ Experience in leading a team: whether direct reports, a cross-functional team, or a combination of engineers and specialists. You provide direction, develop talent, and ensure accountability without micromanaging.
β’ Technically proficient in software architecture, predictive modeling, and agentic systems: capable of hands-on involvement when necessary and quickly learning new domains.
β’ Naturally solutions-oriented. You present a recommendation when escalating issues rather than merely outlining problems, and leverage AI to enhance speed and quality.
β’ A background in life sciences, financial services, or a regulated industry where reproducibility, auditability, and compliance are essential is a significant advantage.
β’ Equity
β’ Company bonus or sales commissions/bonuses
β’ 401(k) plan
β’ Medical, dental, and vision benefits
β’ Wellness stipends
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