Jobs at Sayari

Own and expand a book of Tier 1 financial services accounts in the Americas by driving upsell, renewals, and net-new revenue. Build strategic account plans, maintain accurate Salesforce forecasts, provide market and competitive intelligence, cultivate customer advocates, and collaborate with Pre-Sales, Legal, and InfoSec to close complex procurement cycles.

Lead a squad to design, architect, and ship scalable, well-tested backend systems that incorporate applied LLM capabilities (RAG, prompt engineering, agentic workflows). Translate product goals into technical roadmaps, mentor engineers, enforce code quality and testing, and evaluate AI features for accuracy-critical production use.

Serve as a bridge between Product, Product Marketing, and GTM teams. Translate technical capabilities into commercial narratives and ensure Sales and Customer Success can confidently articulate value propositions. Drive content creation and curriculum for learning experiences, utilizing AI tools and tracking product adoption.

As a Senior Accountant, you will support core accounting operations, manage accounts payable, drive month-end close reconciliations, and prepare for audits using AI tools to optimize workflow.

As a Senior Applied Scientist, you will be responsible for model development, data strategy, deployment, and evaluation of domain-specific tasks in a production environment.

Manage enterprise commercial relationships, drive revenue growth through upselling, maintain Salesforce data, and provide competitive insights.

The Strategic Account Executive will manage enterprise relationships, driving revenue growth through account upsell, maintaining Salesforce data, and providing market feedback.

The Forward Deployed Engineer collaborates with clients to solve complex problems using technology, integrating systems, writing production code, and leading projects to deliver impactful solutions in areas like financial crime prevention and national security.

Build and maintain scalable ETL pipelines using Python, Spark, and Airflow; collaborate with AI/ML and Product teams to deliver AI-native data products; identify and resolve ETL bottlenecks; ensure code quality through reviews and tests; own sprint deliverables and contribute to roadmap planning and major epics.