Job Overview
Location
Remote - Philippines
Job Type
Full-time
Category
Customer Success
Date Posted
May 16, 2026
Full Job Description
đź“‹ Description
- • Serve as the primary point of contact and quarterback for assigned enterprise customers, owning the end-to-end customer journey from onboarding through renewal and expansion.
- • Build and maintain trusted relationships with customer executives and technical stakeholders, ensuring alignment between business objectives and Oscilar’s AI Risk Decisioning™ platform capabilities.
- • Manage a structured cadence of customer engagements including weekly check-ins, executive business reviews (EBRs), adoption strategy sessions, and internal customer success summaries.
- • Collaborate closely with Account Executives and Sales Engineers to drive renewals, upsells, and cross-sell opportunities based on demonstrated customer value and usage trends.
- • Advocate for customer needs internally, representing their feedback and priorities in roadmap discussions with Product and Engineering teams.
- • Develop and maintain detailed account success plans in partnership with the customer account team to ensure clear milestones, KPIs, and growth pathways.
- • Lead customer onboarding and implementation projects, ensuring rapid time-to-value through structured workflows, documentation, and hands-on guidance.
- • Deliver customized product demos and walkthroughs tailored to customer use cases in fraud detection, credit risk, and compliance monitoring.
- • Build and configure workflows, reports, and dashboards using Oscilar’s platform to support customer adoption and visualize ROI.
- • Independently resolve non-complex technical tasks including API integrations, SQL query debugging, and Python scripting to unblock customer implementation.
- • Act as the technical liaison between customers, Solutions Architects, Engineering, and Product teams to ensure seamless communication and issue resolution.
- • Partner with Customer Marketing and Account teams to co-develop customer success stories and case studies that highlight business impact and quantitative outcomes.
- • Monitor and analyze customer adoption metrics to identify at-risk accounts and proactively drive engagement initiatives that increase retention and expansion potential.
- • Maintain accurate records of customer interactions, technical configurations, and success milestones within CRM and customer success platforms.
- • Stay informed on industry trends in fintech, fraud prevention, AML, and AI-driven risk decisioning to provide strategic insights to customers.
- • Work independently across time zones to support a global customer base with flexible scheduling aligned to customer needs.
- • Participate in internal knowledge sharing and training initiatives to elevate the team’s technical and customer engagement capabilities.
🎯 Requirements
- • 7–10 years of experience in Technical Account Management, Customer Success, or Solutions Engineering roles in SaaS or fintech
- • Proven track record of working directly with enterprise customers and executives, including managing escalations and business reviews
- • Technical proficiency in API integrations, SQL, and Python
- • Familiarity with cloud technologies and public cloud services (AWS, GCP, Azure)
- • Excellent communication skills in Tagalog and English — able to present confidently to both executives and technical stakeholders
- • Highly organized and metrics-driven with ability to manage multiple accounts and priorities
🏖️ Benefits
- • Competitive salary and equity packages
- • Accelerated professional growth alongside industry leaders from Meta, Uber, Citi, and Confluent
- • Make the digital economy safer by protecting online transactions through AI-driven risk decisioning
- • Remote-first, collaborative culture with global teammates in the US, Poland, and beyond
Skills & Technologies
Python
AWS
Azure
GCP
Remote
About Oscilar Inc.
Oscilar provides a no-code risk decisioning platform that enables fintechs and banks to build, test, and deploy real-time fraud prevention and credit risk models. The system centralizes identity, transaction, and alternative data, applies machine-learning rules, and offers continuous monitoring and explainable decisions. It is designed for product managers and analysts to reduce charge-offs, false positives, and manual reviews without engineering support.
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