Product Intelligence, Launch & Adoption Lead

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Skills you'll use

What you'll do

• Own KPI governance and the metrics layer: workflow telemetry, adoption analytics, product-health dashboards, decision outcomes vs. baseline. Standardize dual success metrics across the portfolio (product outcomes and model metrics) so teams know what "good enough" means at each capability tier.
• Own value-realization tracking: prove ROI per launched product at the customer level. This evidence does two jobs — it informs stage-gate decisions, and it underwrites the case for continued investment in the new product portfolio.
• Run NPI launch mechanics: launch readiness, enablement materials, sales and customer success playbooks, pricing-and-packaging coordination per product, and the cross-functional launch calendar.
• Own adoption health monitoring across the entire shipped portfolio. Maintain the leading-indicator dashboard. When sustained usage decay is flagged (with thresholds defined per product), trigger the adoption response protocol within 48 hours: pull evaluation signals, value-realization data, and field notes; diagnose the root cause; route to the right owner.
• Be the single accountable owner of root-cause diagnosis when adoption drops. Route product gaps to the product team, enablement gaps to Customer Success, and customer-fit issues to the field deployment team. Customer Success executes the human-side fix; you stay accountable for the signal and the routing.
• Run PM enablement: AI-native methodology, templates, the experimentation cadence, and the training that helps product managers evolve into operators of AI-powered products. Partner closely with the AI Quality & Evaluation Lead so PM training on evaluation-writing is integrated, not bolted on.
• Standardize the intake process for user feedback, feature requests, and field signals, and own the core product-ops tool stack.
• 5-8 years in product ops, product launch/GTM operations, customer-success operations, or product analytics — with demonstrated ownership of at least two of the three (launch, analytics, adoption).

Who can apply

• Hands-on experience launching products in a multi-SKU enterprise environment; bonus if you've owned a post-launch adoption motion working with a separate Customer Success team.
• Strong analytics: dashboards, partnering with data teams to build self-serve analytics for product managers, SQL and spreadsheet automation expected.
• Strong facilitator who can hold a cross-functional diagnostic conversation. The job is calling the right meeting at the right time and making sure the right four humans are in it.
• Backbone, in a different flavor than the Head's. You will need to tell Customer Success leadership "this is not an enablement problem, please don't run that playbook" — and be right.
• Curiosity about the AI landscape; you don't need to build evaluations but you need to read them.
• Your health and well being are important to us at QAD. We provide programs that help you strike a healthy work-life balance.
• Opportunity to join a growing business, launching into its next phase of expansion and transformation.
• Collaborative culture of smart and hard-working people who support one another to get the job done.

About QAD, Inc.

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