SuperDial

SuperDial

Operations Lead

New York City

Sponsorship not specified$165k-$195kDetected 8 days ago
Stakeholder ManagementSalesRecruitingCustomer SuccessLeadershipCommunication

About the role

  • This role will report to the Director of Agent Operations and is based in New York, NY with a hybrid in-office model.
  • Identify risks early, including unclear scope, poor input quality, workflow complexity, missing context, AI performance gaps, or operational execution issues.
  • Track and improve key trial metrics, including batch completion rate, trial success rate, turnaround time, quality outcomes, and readiness for deployment.

Responsibilities

  • Partner with Sales and Customer Success to understand each customer's workflow, use case, success criteria, constraints, and decision-making context.
  • Distinguish between one-off execution misses and deeper systemic issues across inputs, workflow design, scripting, AI behavior, tooling, quality review, or process.
  • Partner with Agent Operations, Product, Engineering, Quality, Customer Success, and Sales to resolve issues that impact trial performance.
  • Drive corrective actions across workflows, scripts, inputs, quality review, tooling, automation behavior, and operating processes.
  • Partner with Product, Engineering, and Agent Operations to understand where AI behavior, workflow logic, tooling, or input quality is affecting trial performance.

Requirements

  • You are a high-ownership operator who enjoys turning ambiguity into structure.
  • You are not an order taker
  • You are structured, metrics-oriented, and comfortable managing multiple moving pieces without losing sight of outcomes.
  • You can diagnose performance issues, identify root causes, and separate symptoms from systemic problems.
  • You are comfortable using AI tools and automation to improve how work gets done.
  • 7+ years of relevant experience in operations, strategy and operations, product operations, implementation, technical solutions, customer operations, consulting, or another execution-heavy environment.
  • Experience owning complex workflows, customer deployments, internal systems, operational processes, or cross-functional initiatives end-to-end.
  • Experience operating in a customer-facing or commercially visible environment where quality, speed, communication, and outcomes all matter.
  • Strong ability to define metrics, diagnose quality or performance issues, and communicate outcomes clearly.
  • Demonstrated ability to work cross-functionally across Sales, Customer Success, Product, Engineering, Quality, or Operations.
  • Strong analytical judgment and comfort using spreadsheets, dashboards, structured analysis, or operational data to investigate problems and drive decisions.
  • Experience using AI tools, automation, dashboards, spreadsheets, or workflow systems to improve operational quality, speed, visibility, or repeatability.

Nice to have

  • Experience with AI-enabled workflows, automation, QA/QC systems, workflow tooling, routing logic, or data-heavy operations.
  • Experience in implementation, technical customer success, product operations, pre-sales/post-sales solutioning, or consulting.
  • Experience in a high-growth startup or scaling environment where processes and systems are still being built.

Skills

  • Use AI tools, automation, and structured workflows to reduce manual effort, improve consistency, and make trial operations more scalable.

Compensation

  • The base salary range for this role is $165,000-$195,000, depending on experience, skill set, level, and fit.
  • This role is also eligible for equity as part of SuperDial's total compensation package.

Benefits

  • Health benefits
  • 16 weeks of parental leave

Company info

  • We're looking for a strong operator who can bring structure to ambiguity, diagnose what is driving performance, and build repeatable systems that make trial operations more consistent, measurable, and scalable.

This listing is sourced directly from SuperDial's careers page and normalized into a canonical job model.