Deployment Operations Lead

SuperDial•New York, NY

22h•$130,000 - $150,000

About The Position

We’re hiring a Deployment Operations Lead to own end-to-end deployments for our enterprise customers. This role is designed for top-tier operators from consulting or Strategy & Operations backgrounds who want to move from advising to owning execution. You will lead complex customer engagements from initial onboarding through full production rollout, acting as the quarterback across customer stakeholders and internal teams. This is a highly visible role with direct impact on customer success, retention, and expansion. About the Role Own Enterprise Deployments (0 → Live) Lead end-to-end onboarding, implementation, and launch for enterprise customers Drive trial-to-production conversions with clear milestones and accountability Own deployment timelines, execution, and outcomes across multiple stakeholders Act as the Customer Operator Serve as the primary point of contact for customer leadership and operational teams Run operational syncs, drive decision-making, and maintain momentum Translate ambiguous business needs into structured execution plans Design & Drive Operational Workflows Build and implement customer-specific workflows aligned to operational goals Ensure readiness across systems, data, and processes prior to go-live Partner with technical teams to translate business requirements into production Problem Solve at the System Level Lead root cause analyses and drive corrective actions for performance gaps Identify bottlenecks across funnel, workflows, and conversion points Continuously improve deployment quality, speed, and scalability Cross-Functional Leadership Coordinate across AM, Production Ops, AI Engineering, and Platform teams Act as the bridge between customer, product, and engineering Build for Scale Develop playbooks and frameworks to standardize enterprise deployments Identify repeatable patterns across customers to improve efficiency Contribute to building the Deployment Ops function from the ground up

Requirements

7+ years at a top consulting firm (McKinsey, Bain, BCG, etc.) or in a Strategy & Operations role at a high-growth company
Proven experience leading complex, cross-functional initiatives with executive-level stakeholders
Strong problem solver who can structure ambiguity into clear plans and execution
Highly ownership-driven. You don’t just advise, you drive outcomes
Excellent communicator with the ability to influence both technical and non-technical stakeholders
Analytical mindset with comfort using data to drive decisions

Nice To Haves

Experience in healthcare, RCM, or operationally complex industries
Experience working with data, analytics, or technical products

Responsibilities

Own Enterprise Deployments (0 → Live)
Lead end-to-end onboarding, implementation, and launch for enterprise customers
Drive trial-to-production conversions with clear milestones and accountability
Own deployment timelines, execution, and outcomes across multiple stakeholders
Act as the Customer Operator
Serve as the primary point of contact for customer leadership and operational teams
Run operational syncs, drive decision-making, and maintain momentum
Translate ambiguous business needs into structured execution plans
Design & Drive Operational Workflows
Build and implement customer-specific workflows aligned to operational goals
Ensure readiness across systems, data, and processes prior to go-live
Partner with technical teams to translate business requirements into production
Problem Solve at the System Level
Lead root cause analyses and drive corrective actions for performance gaps
Identify bottlenecks across funnel, workflows, and conversion points
Continuously improve deployment quality, speed, and scalability
Cross-Functional Leadership
Coordinate across AM, Production Ops, AI Engineering, and Platform teams
Act as the bridge between customer, product, and engineering
Build for Scale
Develop playbooks and frameworks to standardize enterprise deployments
Identify repeatable patterns across customers to improve efficiency
Contribute to building the Deployment Ops function from the ground up