Mindbody

Mindbody

Principal Product Manager, Agentic Experience

United States · Principal

Sponsorship not specified$180k-$242kDetected 37 days ago
ExpressLLMsAgentic AIAI OrchestrationA/B TestingProduct ManagementProduct StrategyResearchLeadershipCommunication

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Mindbody is seeking a Principal Product Manager, Agentic Experience to define how AI transforms the way businesses use our industry-leading B2B software platform.
  • This is not a role focused on adding isolated AI features or conversational interfaces to existing workflows.
  • You will determine where agents can fundamentally simplify work, coordinate actions across the platform, and help customers achieve outcomes with less effort.

Responsibilities

  • Develop and own the product strategy and roadmap for agentic experiences and their enabling platform capabilities.
  • Build trusted agentic experiences
  • Design for user trust and control through confirmation patterns, reversibility, auditability, and effective recovery from errors.
  • Partner with Design and Research to establish reusable interaction patterns for AI-first experiences across Mindbody.
  • Partner deeply with Engineering, Architecture, Data, Security, and Privacy to develop scalable capabilities for model access, orchestration, tool use, context management, permissions, observability, and governance.
  • Make thoughtful build, buy, and partner decisions in a fast-moving technology ecosystem.
  • Identify the workflows where agentic systems can create meaningful customer and business value-not merely add novelty or incremental convenience.
  • Lead the development of agentic workflows designed specifically for B2B users and their operational needs.
  • Create experiences that make agent reasoning, proposed actions, uncertainty, and outcomes understandable to users.

Requirements

  • Balance experimentation with the architectural discipline required to support production-grade B2B software at scale.

Compensation

  • It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable.
  • The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization.
  • Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.
  • The base salary range for this position in the United States is $180,000 to $242,000.
  • The total compensation package for this position may also include performance bonus, benefits and/or other applicable incentive compensation plans.

Benefits

  • Establish a compelling vision for an AI-first B2B user experience across Mindbody's platform.

Company info

  • We're looking for the right person, not the perfect series of checkboxes.

Equal opportunity

  • The Company is an Equal Opportunity Employer.

Visa & Work Authorization

  • Opt-out or text STOP to cancel at any time.
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This listing is sourced directly from Mindbody's careers page and normalized into a canonical job model.