---
title: 'Director of Partnerships at Oscilar'
canonical: 'https://feeny.ai/job/director-of-partnerships-oscilar-remote-vzq5tex88pvm'
type: 'job'
last_seen: '2026-09-09'
---

# Director of Partnerships at Oscilar

- **Company:** Oscilar
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/oscilar/95631d31-5a1c-410c-bd89-5ca5fc67fea4

## Job description

## ABOUT OSCILAR

At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place.

WHY JOIN US?

Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer. Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward. Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk.

## ROLE OVERVIEW

Oscilar is looking for a Director of Partnerships to build and scale the strategic alliances that extend our platform's reach and reinforce our position as the risk decisioning layer for financial services.

This role spans three partner categories that are central to Oscilar's growth: OEM and embedded technology partners, data and signal providers, and Global System Integrators (GSIs).

You will own the full partner lifecycle, from identifying and structuring the right relationships to negotiating commercial agreements and building joint go-to-market motions that generate pipeline, revenue, and product impact.

This is a highly strategic and hands-on role for someone who is equally comfortable navigating a term sheet negotiation, a technical integration conversation, and an executive partner meeting. Deep experience in fraud, credit risk, identity, compliance, or financial-services risk decisioning is essential.

## WHAT YOU’LL DO

- Identify, structure, and negotiate strategic OEM and embedded technology partnerships that enable Oscilar's decisioning capabilities to be resold, bundled, or embedded within partner platforms
- Own commercial structures for OEM relationships, including revenue-share models, pricing, contractual frameworks, and partner economics
- Partner closely with Product and Engineering to define integration requirements and ensure partners can successfully embed Oscilar into their offerings
- Build and manage a portfolio of data and signal provider partnerships across areas such as identity, device intelligence, bureau data, alternative data, KYC, AML, and fraud
- Evaluate new data sources for technical, commercial, and decisioning value, and negotiate data access, pricing, and strategic terms
- Work with Product and Data Science to prioritize partnerships that materially improve decisioning performance for customers
- Develop and operationalize relationships with Global System Integrators and consulting partners to drive co-sell, co-delivery, and partner-influenced pipeline
- Build joint solutions, playbooks, and go-to-market motions with GSI partners targeting fraud, credit, identity, and compliance transformation programs
- Recruit, enable, and manage relationships with GSI practice leaders and partner teams
- Serve as the executive relationship owner for strategic partners from initial engagement through contracting and ongoing execution
- Build the operating rhythm for Oscilar's partnerships function, including pipeline tracking, partner scorecards, QBRs, revenue attribution, and performance management
- Represent Oscilar's point of view on AI-native risk decisioning, fraud, credit, and compliance in partner and industry conversations
- Collaborate closely with Sales, Product, Marketing, Finance, Legal, and Engineering to ensure partnerships translate into measurable business and product outcomes

## WHAT YOU’LL BRING

- 7+ years of experience in partnerships, business development, or strategic alliances
- Direct, hands-on experience across OEM / embedded technology partnerships, data provider partnerships, and Global System Integrator relationships
- Deep domain expertise in fraud, credit risk, identity, compliance, or risk decisioning within financial services
- Experience working at a fintech, bank, card network, data or identity provider, risk platform, or GSI risk practice
- Proven track record negotiating and closing OEM, reseller, or embedded technology agreements, including commercial structures, revenue-share models, and contractual terms
- Experience building or scaling data partnerships, including evaluating data sources and negotiating data access and pricing
- Proven experience managing GSI relationships and building joint go-to-market motions that generate partner-sourced or partner-influenced pipeline
- Experience working with firms such as Accenture, Deloitte, EY, PwC, KPMG, Cognizant, TCS, Infosys, Wipro, or similar organizations
- Strong commercial and contract fluency with the ability to lead complex negotiations alongside Legal and Finance
- Excellent executive presence and the ability to represent Oscilar credibly with senior partner stakeholders and internal leadership
- Strong cross-functional instincts and the ability to operate across commercial, technical, and product conversations
- Willingness to travel as needed to support partner relationships and industry events

## PREFERRED QUALIFICATIONS

- Experience at a high-growth fraud, credit, compliance, identity, or risk decisioning platform
- Existing relationships with data providers, identity vendors, technology platforms, or GSI fraud and risk practice leaders
- Experience building a partnerships or alliances function from the ground up
- Familiarity with no-code / low-code decisioning platforms, rules engines, or financial-services infrastructure
- Experience operating in a fast-paced, high-growth environment with significant ownership and executive visibility

## WHAT SUCCESS LOOKS LIKE

- Build a structured portfolio of active OEM, data, and GSI partnerships with clear commercial models, ownership, and operating plans
- Generate measurable partner-sourced and partner-influenced pipeline within the first two to three quarters
- Establish at least one repeatable GSI go-to-market motion that consistently generates deal flow
- Build a strategic data partner roadmap that materially improves decisioning capabilities and customer outcomes
- Establish scalable partnership processes, including partner scorecards, QBRs, pipeline tracking, and revenue attribution
- Create a strong foundation for Oscilar's long-term ecosystem and partnerships strategy

## BENEFITS AND OTHER PERKS

- Compensation: Competitive salary and equity packages, including a 401k plan.
- Flexibility: Remote first culture.
- Health: 100% employer-covered comprehensive health, dental, and vision insurance with a top-tier plan for you and your dependents. (US)
- Balance: Unlimited PTO policy.
- Culture: Family-friendly environment; regular team events and offsites.
- Development: Unparalleled learning and professional development opportunities.
- Impact: Making the internet safer by protecting online transactions.

## About Oscilar

## Company Overview
- **One-liner**: Oscilar provides an AI-native risk decisioning platform that uses agentic AI to help financial institutions manage fraud, credit, onboarding, and AML compliance in real time.
- **Entity Type**: Private (startup stage; funding rounds not publicly disclosed)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2021
- **Founders**: Neha Narkhede (CEO) and Sachin Kulkarni (CTO)

## Core Business
- **Primary industry**: Financial technology (fintech) / Risk management / AI
- **Target customers**: Banks, fintechs, credit unions, and digital organizations (B2B, enterprise)
- **Mission**: “Making the internet a safer place for everyone” — empowering businesses to master risk, defeat fraud, and safeguard consumers in the era of AI.

## Products & Services
- **Oscilar AI Risk Decisioning Platform**: A unified, cloud-native platform that leverages agentic AI for detection, decisioning, and resolution across fraud, credit, AML, and onboarding. It processes over 30 billion decisions per year at peak throughput of 120,000+ requests per second with sub-100ms latency. Key components include:
  - **Agent Hub**: A coordinated suite of AI agents (e.g., Workflows, RuleRec, Credit Explainability, Analytics, TestGen, Fraud Disputes, AML L1, SAR, Narratives, Translator, Sanctions, PEP, CTR) trained on each customer’s SOPs and risk context. Agents define policies, score alerts, generate investigation narratives, and learn from analyst feedback.
  - **No-code policy engine**: Risk teams can define and deploy new policies in plain language without SQL or engineering support.
  - **Holistic risk dashboard**: Monitors the entire customer journey — onboarding, login, payments, compliance — in one place.
  - **Explainable decisions & full auditability**: Every decision is transparent and defensible for regulatory scrutiny.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Processes 30B+ decisions per year; 120K+ requests per second; average latency <100ms. Employee count: ~104 (per Built In).
- **Notable Investors/Partners**: Not publicly listed from available sources. Advisors include Xin Ge (ex-CPO at Feedzai), Kevin Moss (ex-Chief Risk Officer at SoFi), Tomas Lobo (ex-Chief Technology & Risk Officer at Afterpay), and Rob Frohwein (co-founder of Kabbage, acquired by American Express).
- **Growth Signals**: Founded by Neha Narkhede (creator of Apache Kafka and co-founder of Confluent, NASDAQ: CFLT). Team built on deep risk experience from Meta, Uber, LinkedIn, Citi, and JPMorganChase. Currently hiring across multiple roles (33 jobs listed on Built In), indicating scaling. Remote-first culture supporting global talent acquisition.

## Competitive Advantages
- **Agentic AI tuned to customer data**: Models are trained on each institution’s own SOPs and risk patterns, retraining in days when patterns shift — not generic benchmarks.
- **Unified platform**: Covers fraud, credit, compliance, and AML in a single system, providing a holistic risk picture that competitors often address with siloed tools.
- **Low-latency, high-throughput architecture**: Proven at 120K+ req/s with sub-100ms latency, built by engineers who scaled 10-billion-requests-per-second systems at Meta.
- **Explainability & audit trails**: Full decision transparency for regulatory compliance, a critical differentiator for financial clients.
- **Feedback loop**: Analyst feedback continuously refines agent recommendations, improving over time.

## Strategic Focus
- **Deepen the Agent Hub**: Continue building and refining specialized AI agents for every risk decision type (fraud, AML, credit, sanctions, etc.).
- **Expand customer base**: Target more banks, fintechs, and digital organizations globally, with recent hires in sales and customer support (including Philippines office).
- **Maintain remote-first culture while scaling**: Leverage distributed talent to grow efficiently.
- **Invest in ML and generative AI**: Use cutting-edge tools to stay ahead of evolving fraud and compliance threats.

## Why Work Here
- **Remote-first culture**: Work from anywhere; company provides home office setup assistance.
- **Cutting-edge technology**: Opportunity to work on AI/ML at scale, tackling complex fraud and financial crime problems.
- **Elite team**: Collaborate with experts from Meta, Google, Uber, LinkedIn, Confluent, Citi, and JPMorganChase.
- **Values-driven**: Customer obsession, radical ownership, efficient growth, one team, bold vision with clear eyes.
- **Benefits**: Competitive salary and equity, unlimited PTO, comprehensive health/dental/vision insurance, regular team events and offsites, professional development opportunities.
- **Mission**: Direct impact on making the internet safer for legitimate customers and enabling financial institutions to grow confidently.

## Sources
1. [oscilar.com](https://oscilar.com) — Product overview, platform features, metrics
2. [oscilar.com/about-us](https://oscilar.com/about-us) — Leadership team, advisors, company origins
3. [oscilar.com/careers](https://oscilar.com/careers) — Culture, values, benefits, remote-first policy
4. [builtin.com](https://builtin.com/company/oscilar) — Employee count, year founded, job listings

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