Oscilar Series A

Forward Deployed Engineer

San Francisco, CA On-site Added Jun 17

About the role

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, https://oscilar.com/careersthis 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: The Forward Deployed Engineer (FDE) is the most technically complete role at Oscilar. You sit at the intersection of customer success, platform expertise, and agentic AI deployment. From the first technical conversation with a prospective customer to live production and ongoing expansion, you own the full technical relationship. This is not a support role, and it is not a sales role. It is an engineering solutions oriented role with deep customer proximity. You will be embedded with Oscilar's most strategic customers, designing agentic risk systems, driving implementations, and serving as the field intelligence that shapes what Oscilar builds next. You operate with the ownership and judgment of a startup CTO — applied to some of the most relevant and consequential decisioning problems in financial services. What You’ll Do: TECHNICAL PRE-SALES - Lead technical discovery with prospective customers, uncovering integration requirements, data architecture constraints, and risk decisioning objectives across onboarding, fraud, credit, and compliance use cases.

Industry

AI / Risk Decisioning / FinTech

Top skills for this role

  • AI agent/risk system design and deployment
  • 2. Financial risk domain knowledge (fraud
  • credit
  • compliance)
  • 3. Customer-embedded technical architecture and implementation

Languages

not specified

Frameworks & tools

Risk decisioning systemsAI/ML risk platformsfinancial institution integrations

AI / ML skills

Agentic AI risk system design and deploymentfraud detection AIcredit risk AIcompliance risk AI

Customer skills

Embedded with strategic customers; designing agentic risk systems; driving implementations; acting as field intelligence shaping product roadmap

Domain knowledge

Fraud risk, credit risk, compliance risk, AML, banking, FinTech, digital payments

Travel: not specified
Equity: not specified

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