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1 month ago

Data Product Manager - Payment Optimization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Technical Product Manager with a data/ML focus in payments to drive the analytics and ML strategy for subscription payments. Own the data/ML roadmap, translate model outputs into product features and decisioning logic, run data analyses (SQL, cohorts, funnels), design experimentation programs, and collaborate with Data Science and Engineering to improve payment success and retention across multiple processors.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the data and ML roadmap for initial and recurring payments, identifying where statistical modeling, machine learning and AI automation create measurable business impact, and prioritizing based on expected value, data readiness and technical feasibility
•Translate ML model outputs into shipped product features and concrete decisioning logic, for example turning routing or retry model scores into specific rules that determine how each transaction is processed and validating that those rules perform in production
•Perform exploratory data analysis by writing SQL, building cohort and funnel analyses, and segmenting payment behavior to surface optimization opportunities rather than waiting for analysis to be handed to you
•Design and own the experimentation program: define hypotheses, choose metrics, determine sample sizes and statistical power, guard against pitfalls such as peeking, multiple comparisons and novelty effects, and interpret results rigorously
•Monitor and act on KPIs such as payment success and authorization rates, passive churn, conversion, model precision and recall, and reconciliation accuracy

Key Requirements

•5+ years of overall professional experience including approximately 3 years in digital product management
•Hands-on data analysis experience with fluency in SQL and comfort using Python or R
•Experience in data science, analytics or ML engineering in addition to product management experience
•Experience translating ML model outputs into shipped product capabilities or decisioning and routing rules and validating their impact in production
•Knowledge of domestic and international payment options including cards, direct debits, alternate payment methods and gateways in a recurring or subscription environment

Experience:5+ yearsPaymentsSubscriptionMLData scienceAnalytics

Education:Bachelor's

Skills:SQLPythonRMachine learningData analysisExperimentationA/B testingUX collaboration

Languages:English

Tech Stack:SQLPythonRMachine learningA/B testingData analytics

Company Brief

DocuSign

Provides a cloud-based electronic signature and intelligent agreement management platform that automates document workflows, identity verification, contract lifecycle management, and agreement analytics for enterprises and individuals worldwide.

Industry: LegalTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2003

Glassdoor: 3.6

Website LinkedIn Glassdoor

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DocuSign

1 month ago

Data Product Manager - Payment Optimization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the data and ML roadmap for initial and recurring payments, identifying where statistical modeling, machine learning and AI automation create measurable business impact, and prioritizing based on expected value, data readiness and technical feasibility
•Translate ML model outputs into shipped product features and concrete decisioning logic, for example turning routing or retry model scores into specific rules that determine how each transaction is processed and validating that those rules perform in production
•Perform exploratory data analysis by writing SQL, building cohort and funnel analyses, and segmenting payment behavior to surface optimization opportunities rather than waiting for analysis to be handed to you
•Design and own the experimentation program: define hypotheses, choose metrics, determine sample sizes and statistical power, guard against pitfalls such as peeking, multiple comparisons and novelty effects, and interpret results rigorously
•Monitor and act on KPIs such as payment success and authorization rates, passive churn, conversion, model precision and recall, and reconciliation accuracy

Key Requirements

•5+ years of overall professional experience including approximately 3 years in digital product management
•Hands-on data analysis experience with fluency in SQL and comfort using Python or R
•Experience in data science, analytics or ML engineering in addition to product management experience
•Experience translating ML model outputs into shipped product capabilities or decisioning and routing rules and validating their impact in production
•Knowledge of domestic and international payment options including cards, direct debits, alternate payment methods and gateways in a recurring or subscription environment

Experience:5+ yearsPaymentsSubscriptionMLData scienceAnalytics

Education:Bachelor's

Skills:SQLPythonRMachine learningData analysisExperimentationA/B testingUX collaboration

Languages:English

Tech Stack:SQLPythonRMachine learningA/B testingData analytics

Company Brief

DocuSign

Industry: LegalTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2003

Glassdoor: 3.6

Website LinkedIn Glassdoor