Jobs at Sift Stack

The Account Executive will drive customer acquisition, run technical sales cycles, close high-value deals, collaborate cross-functionally, and help build the go-to-market strategy, focusing on technical products for engineering teams.

In this role, you will build full stack features for a telemetry data platform, create user interfaces, implement APIs, and write maintainable code while collaborating with teams.

Lead and build Sift's QA function end-to-end: define quality strategy, establish test planning and regression suites, manage outsourced QA vendors, embed testing with squads, apply AI to accelerate testing, track quality metrics, and coach engineering on self-testing to ensure release quality across web, desktop, and backend products.

As a Staff Backend Engineer, you'll design and build scalable platforms for processing sensor data, define engineering standards, and collaborate on backend system development.

Design and maintain scalable infrastructure solutions, collaborate with engineers, implement monitoring systems, automate processes, and lead initiatives for performance and reliability improvements.

Own and build the frontend for agentic AI features: design agentic UX, streaming responses, long-running tasks, and render agent findings alongside large telemetry datasets. Optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component libraries, collaborate on APIs, and work directly with customers to translate workflows into product features.

Design, build, and maintain scalable infrastructure for Sift's platform, collaborating with engineers to enhance performance and implement DevOps methodologies.

Build and maintain full stack features for telemetry data, create user interfaces, implement APIs, and collaborate with teams on design and coding.

The Account Executive will drive new customer acquisition, run technical sales cycles, close high-value deals, and collaborate cross-functionally to shape Sift's go-to-market strategy, focusing on engineering-driven organizations.

Design and build a scalable data infrastructure for real-time telemetry, focusing on backend and distributed systems while collaborating on architecture and processes.

Build and own frontend surfaces for agentic AI used by hardware engineers: design streaming/long-running interactions, render agent outputs alongside large telemetry, optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component library, and collaborate with customers and backend engineers from MVP through iteration.

Lead complex enterprise implementations, partner with engineers and product to design technical solutions, drive adoption across engineering teams, run pilots, manage stakeholders and multiple projects, and ensure customers realize value from the platform.

Own and ship backend systems and agentic AI features for telemetry analysis: design agent tool interfaces, build distributed job execution on Kubernetes, implement APIs and MCP server, integrate frontier models, and build evaluation and observability for production agent workloads.

Build and operate agentic backend systems that reason over large-scale time-series telemetry. Design APIs, tool interfaces, sandboxed code execution, distributed job scheduling on Kubernetes, observability, and evaluation suites. Partner with customers and product to turn real workflows into dependable AI agent capabilities across cloud and on-prem deployments.

Build and operate agentic AI systems that analyze large-scale time-series telemetry. Own product features end-to-end—frontend, APIs, and scalable agent runtime—work with customers, integrate frontier models, implement sandboxed execution and observability, and measure agent impact in production.

Full‑stack product engineer building and operating agentic AI systems that analyze large-scale time-series telemetry. Own product features end-to-end: frontend UX, backend APIs, agent orchestration, sandboxed code execution, evaluation, observability, and model integrations while working directly with customers.

Design and implement high-performance frontend interfaces and reusable component libraries for real-time telemetry. Build intuitive data-exploration UIs, optimize web performance, collaborate on API design with backend teams, write maintainable code, and participate in technical design discussions.

Design and build high-performance data visualization interfaces and reusable component libraries for large real-time datasets. Create intuitive data-exploration UIs, optimize web performance, collaborate on API design with backend teams, and write clean, maintainable frontend code.

Work with customers to adapt and integrate Sift's telemetry platform, build custom solutions and integrations, translate requirements into product feedback, run technical onboarding and training, and act as a technical partner to deliver engineering insights for hardware systems.

As a Forward Deployed Engineer, you'll customize Sift's telemetry platform for customer needs, collaborating with teams to develop solutions and strengthen partnerships.