Jobs at Sift Stack

Manage complex, technical sales cycles with engineering teams, develop new customer relationships, lead technical evaluations, close high-value deals, and contribute to company growth strategies in an early-stage environment.

Lead the engineering team for Sift's data platform, manage data pipelines, establish processes, and contribute to architecture and features. Collaborate with product teams for strategy and growth.

The AI Automation Engineer will architect and build AI-driven GTM systems, write production code in Python, manage vector databases, streamline marketing and sales workflows, and ensure system reliability while collaborating across teams.

The Account Executive at Sift manages complex technical sales cycles, drives customer acquisition, collaborates with engineering teams, and helps shape go-to-market strategies.

The GTM Engineer at SIFT will architect, build, and maintain AI-powered GTM systems, automate workflows, and ensure production reliability while collaborating closely with marketing and sales teams.

As a Software Engineer at Sift, you will build full stack features for telemetry data, optimize user interfaces for real-time data, and collaborate on service design, contributing to the evolving product architecture.

As a Senior Full Stack Software Engineer at Sift, you'll develop complex telemetry data applications, optimize UIs, and create efficient APIs while collaborating on product architecture.

As a Staff Software Engineer, you will design high-performance data infrastructure, develop scalable backend systems, and collaborate on advanced engineering solutions.

Design and build scalable platforms for high-frequency data ingestion, develop database solutions, and pioneer data architecture while collaborating on engineering standards.

Design and maintain scalable infrastructure solutions, optimize performance, automate deployment, and improve reliability. Collaborate with teams to influence product architecture.

Design and maintain scalable infrastructure solutions, collaborate to optimize application performance, implement monitoring systems, automate deployments, and evolve backend architecture for cloud and on-premise environments.