Deployment Operations Lead

SuperDial

$130K — $150K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in consulting (McKinsey, Bain, BCG) or Strategy & Operations at a high-growth company.
  • Strong track record of leading complex initiatives with executive-level stakeholders.
  • Ability to translate ambiguous business needs into actionable plans.
  • Highly driven with a focus on executing outcomes, not just advising.
  • Excellent communication skills to influence technical and non-technical stakeholders.
  • Analytical mindset with experience in data-based decision making.

Responsibilities

  • Lead end-to-end onboarding, implementation, and launch for enterprise customers.
  • Drive trial-to-production conversions with accountability and clear milestones.
  • Manage deployment timelines, execution, and outcomes involving multiple stakeholders.
  • Act as the main point of contact for customer leadership and operational teams.
  • Run operational meetings, facilitate decision-making, and ensure project momentum.
  • Build and implement tailored workflows aligned to customer operational goals.
  • Conduct root cause analyses to address performance gaps and improve deployment quality.

Benefits

  • Equity participation in the company's growth and success.
  • Comprehensive benefits package provided.
  • Opportunity to shape the future of AI in healthcare.
Full Job Description
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
Who You Are
  • 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 Have
  • Experience in healthcare, RCM, or operationally complex industries
  • Experience working with data, analytics, or technical products

The base salary for this role ranges from $130,000-150,000 depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications - we're always open to exceptional talent.

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