Product Manager Digital Products (Field Adoption & Business Impact)
Reports to: Head of Digital & AI | Location: Chennai / Noida, with ~20% field travel | Experience: 48 years | Type: Full-time
Role Summary
This role owns the adoption, user experience, and measured business impact of the digital, analytics, and AI products built for a nationwide field sales organisation. The internal users - field sales teams spread across multiple states - are the customers of everything we build. The mandate is not to ship features; it is to ensure every platform, MIS, and AI recommendation is operationalized on the ground, used consistently, and delivers quantified P&L; and working-capital outcomes. Equally, the role is responsible for channelling on-ground intelligence back into our data and AI systems so recommendations keep improving in accuracy and relevance.
Key Projects You Will Own
Demand forecasting P&L; improvement: Operationalising forecast outputs into sales planning, inventory positioning, and scheme decisions; closing the loop between forecast accuracy and field reality.
Spend allocation intelligence: Driving usage of ad-spend and scheme-allocation recommendations; measuring lift versus legacy allocation methods.
¢ Product mix optimisation: Adoption of recommendations balancing new/patented product push versus generic mix at territory and dealer level.
¢ Credit risk & bad-debt reduction: Rollout of dealer credit-intelligence scoring into credit decisions; tracking bad-debt and DSO movement attributable to the product.
¢ Collections assistance: Field rollout of tech/AI-agent-assisted collection workflows; measuring collection efficiency and cycle-time improvement.
Expectations & Responsibilities
Adoption & Change Management
¢ Own end-to-end rollout of every product release across the field organisation: communication, training (in-person and remote), champion networks, and escalation paths.




¢ Define and track adoption metrics (activation, weekly active usage, depth of usage by role/region) and run structured interventions where adoption lags.
¢ Build trust with sales leadership at all levels so that digital tools are pulled, not pushed.
User Experience & Feedback Loops
¢ Spend meaningful time with users; observe how recommendations and reports are actually used (or worked around) and translate findings into prioritised product changes.
¢ Run a structured voice-of-field programme: periodic user councils, in-app feedback, and documented territory visits.
¢ Champion vernacular, low-bandwidth, mobile-first design suited to a distributed rural/semi-urban salesforce.
Ground-Truth for AI
¢ Design mechanisms for the field to feed local intelligence (crop conditions, competitor activity, dealer health signals, local demand drivers) back into the data platform so AI recommendations reflect on-ground reality.
¢ Own the recommendation efficacy loop: track acceptance/override rates and reasons, and work with the data science team to improve model accuracy and explainability.
Impact Measurement
¢ Define the business-impact measurement plan for each initiative before rollout (baseline, control where feasible, attribution logic) in partnership with Finance.
¢ Publish a monthly adoption-and-impact scorecard for leadership covering usage, efficacy, and quantified P&L;/working-capital movement.
Cross-Functional Orchestration




¢ Work daily with data/analytics engineers on requirements and release readiness; with sales leadership on rollout sequencing; with Finance on impact validation; with HR/L&D; on capability building.
What Success Looks Like (First 12 Months)
¢ 7080%+ sustained weekly active usage of priority products among target field roles.
¢ Documented, Finance-validated impact narrative for at least two initiatives
¢ A functioning field-feedback-to-model pipeline with measurable improvement in recommendation acceptance rates.
¢ Sales leadership actively requesting - not resisting - the next rollout.
Qualifications
Must-Have
¢ 48 years in product management, product operations, or digital transformation roles where field/frontline adoption was the core deliverable - ideally in agri-inputs, FMCG, pharma, rural BFSI/fintech, or other distribution-led businesses.
¢ Demonstrated experience driving adoption of digital tools among large, dispersed, non-desk workforces.
¢ Strong analytical fluency: comfortable with adoption funnels, phased-rollout logic, and reading dashboards critically; able to pressure-test an impact claim.
¢ Exceptional stakeholder management - credible with both a Regional Sales Head and a data scientist.
¢ High agency and bias for action: comfortable with ambiguity, willing to travel extensively, and able to operate without a playbook.
¢ Fluency in English and Hindi; one or more Regional Indian languages (Punjabi/ Bengali/ Oriya/ Telugu /Kannada) is a solid plus.
Good-to-Have
¢ Exposure to AI/ML-powered products (recommendations, forecasting, scoring) and the practicalities of human-in-the-loop adoption.
¢ Experience in agri-inputs or allied sectors (seeds, crop protection, fertilisers, farm equipment, agri-fintech).
¢ Familiarity with SAP/ERP-driven sales processes, dealer/channel management, and trade schemes.
¢ Prior experience designing training content or running train-the-trainer programmes.

📌 Product Manager - Digital & AI (Chennai)
🏢 Tropical Agrosystem
📍 Chennai