Product Intelligence, Launch & Adoption Lead

QAD; Maharashtra; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

QAD in Pune is seeking a Senior Product Operations professional to own the metrics layer, product-launch workflows, and ongoing adoption across a multi-SKU portfolio. You will partner with Customer Success and cross-functional teams to ensure ROI, readiness, and continuous improvement in product performance.

The role emphasizes analytics, diagnostics, and AI-enabled enablement for PMs, with a strong responsibility for the adoption lifecycle and field coordination to sustain value realization.

Qualifications

• 5–8 years in product ops, product launch/GTM operations, customer-success operations, or product analytics — with ownership of at least two of the three (launch, analytics, adoption).
• Hands-on experience launching products in a multi-SKU enterprise environment; bonus if you’ve owned a post-launch adoption motion with Customer Success.
• 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.
• Curiosity about the AI landscape; you don’t need to build evaluations but you need to read them.

Responsibilities

• Own KPI governance and the metrics layer: workflow telemetry, adoption analytics, product-health dashboards, decision outcomes vs. baseline.
• Own value-realization tracking: prove ROI per launched product at the customer level; inform stage-gate decisions and continued investment.
• Run NPI launch mechanics: launch readiness, enablement materials, sales and customer success playbooks, pricing-and-packaging coordination per product, cross-functional launch calendar.
• Own adoption health monitoring across the entire shipped portfolio; maintain the leading-indicator dashboard; trigger adoption protocol within 48 hours: pull evaluation signals, value-realization data, and field notes; diagnose root cause; route to owner.
• Be the single accountable owner of root-cause diagnosis when adoption drops; route product gaps to product team, enablement gaps to Customer Success, and customer-fit issues to field deployment team.
• 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 with AI Quality & Evaluation Lead.
• Standardize the intake process for user feedback, feature requests, and field signals, and own the core product-ops tool stack.

Skills

SQL

Dashboards

Analytics

Cross-functional collaboration

Product analytics

Job description

Organization Overview

QAD is building a world‑class SaaS company, and we are growing. We are looking for talented individuals who want to join us on our mission to help solve relevant real‑world problems in manufacturing and the supply chain.

This hybrid position requires candidates to be based in Pune with 3-4 days of in‑office collaboration per week.

Job Description

QAD is hiring a senior operator to own three connected things: how we measure whether our products are working, how we launch new products into the market, and how we keep them adopted once they’re live.

The role owns the metrics layer across our product portfolio — telemetry, adoption analytics, value realization — and runs the operational mechanics of every product launch. After launch, you’re the person who notices when usage decays, diagnoses why, and routes the fix to the right team. You’ll partner closely with the Customer Success organization, which executes the customer‑facing side of adoption work under your diagnostic direction.

This is the most operationally demanding seat on the Product Operations team and the one with the most cross‑functional surface area. It reports to the Head of Product Operations.

Responsibilities

• 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 informs stage‑gate decisions and 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.

Qualifications

• 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).
• 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.

Additional Information

• 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.
• An atmosphere of growth and opportunity, where idea‑sharing is always prioritized over level or hierarchy.
• Compensation packages based on experience and desired skill set.

About QAD

QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days.

QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.