Jobs / United States / Mindbody INC
Principal Product Manager, Agentic Experience
Mindbody INC · 🇺🇸 United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 5 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Mindbody INC paid sponsored hires in similar roles1 certified filing for “Sr, Manager, HRIS” (Computer Systems Analysts) in FL: $200k–$200k, median $200k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Mindbody INC
The US Department of Labor certified 5 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Mindbody INC →
About the role
At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Opportunity 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 role will own the vision, strategy, and execution for incorporating agentic workflows into Mindbody’s business experience. Your mandate spans both sides of the opportunity: envisioning an AI-first user experience that meaningfully improves how customers operate their businesses, and establishing the underlying platform capabilities that allow Mindbody teams to build reliable agentic workflows quickly, safely, and at scale. 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. You will also define the quality, evaluation, trust, and governance systems necessary to make non-deterministic products dependable in real business environments. As a Principal Product Manager, you will operate as a senior individual contributor and organizational leader. You will level up Mindbody’s thinking about applied AI, align teams around a cohesive strategy, and create the platform and product patterns that shape one of the most important components of Mindbody’s next evolution. The Role You’ll Play Define Mindbody’s agentic product strategy • Establish a compelling vision for an AI-first B2B user experience across Mindbody’s platform. • Develop and own the product strategy and roadmap for agentic experiences and their enabling platform capabilities. • Identify the workflows where agentic systems can create meaningful customer and business value—not merely add novelty or incremental convenience. • Determine the appropriate interaction models for agents, including proactive assistance, workflow orchestration, recommendations, approvals, and autonomous actions. • Translate rapidly evolving AI capabilities into durable product strategy grounded in customer needs, technical feasibility, economics, and risk. • Define clear boundaries between deterministic software, AI-assisted experiences, and agent-led workflows. Build trusted agentic experiences • 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. • Define when agents should act autonomously, request approval, escalate to a person, or decline to act. • Ensure agentic workflows respect permissions, business rules, data boundaries, and customer-specific context. • 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. Establish the enabling AI