Top Hybrid Jobs

As an Embedded Systems Engineer, you will develop and ensure the reliability of roadside systems, creating schematics and coding for hardware-software integration.

Supports planning, coordination, and delivery of data products and projects. Maintains project timelines, documentation, assignments, dependencies, and Salesforce project records; coordinates dataset production with internal teams and external vendors; facilitates meetings; tracks risks and deliverables; supports closeout reporting, process improvement, workflows, and standard operating procedures. May coordinate cross-functional teams and provide project updates to senior leadership.

Design and build AI-native financial infrastructure, including scalable backend services, APIs, data models, and full-stack applications. Develop agent-powered workflows for underwriting, risk monitoring, collections, and payments. Operate applications in the cloud, participate in code reviews, and help evolve engineering standards and AI-assisted development practices. Collaborate with product, design, architecture, and engineering teams in a fast-moving startup environment.

Implements and configures StrataJazz Decision Support software for major health systems, including cost accounting, service line margin, and episode analytics. Builds reports and workflows, validates functionality, tests features, leads customer meetings and training, manages project timelines and budgets, communicates risks, and supports product improvements. Requires healthcare finance understanding, advanced Excel skills, customer-facing consulting experience, and travel to customer locations.

Own PointFive’s growth and demand-generation engine across paid media, lifecycle marketing, integrated campaigns, field events, outbound orchestration, website conversion, and pipeline reporting. Manage budgets, agencies, contractors, and marketing technology including HubSpot, Salesforce, Snowflake, Google Analytics, and Common Room. Partner closely with sales to align targeting and outbound programs while independently testing channels, analyzing performance, and optimizing pipeline creation.

As an Enterprise Security Engineer, you'll secure endpoints, identity systems, and cloud services, focusing on automation and proactive security measures. You'll collaborate with IT and engineering teams to enforce security controls and develop AI-assisted workflows for improved threat detection.

Provide first-line technical support for internal users by triaging tickets, resolving Tier 1 and 2 issues, distinguishing user questions from software bugs, and managing escalations and incidents. Investigate backend issues using SQL, DataDog, logs, and APIs while documenting workflows and reproduction steps for developers. The role also supports user enablement and helps establish scalable support processes in a growing startup.

Own standard customer implementations from sales-to-service handoff through go-live. Lead technical scoping, workflow validation, integration design, project planning, milestone tracking, reporting, readiness assessments, and internal handoffs to Customer Success. Coordinate cross-functional technical teams, communicate project health to stakeholders, and apply structured procedures to deliver efficient onboarding and initial customer value.

Leads an AI engineering team of 4–8 engineers while remaining hands-on with architecture, coding, code reviews, and technical decisions. Owns delivery of production AI systems including LLM applications, agentic workflows, document extraction, and machine learning pipelines. Establishes engineering standards, observability, evaluation frameworks, and responsible deployment practices while partnering with product, platform, data, recruiting, and customers.

Develop system-level diagnostic and stress-testing software for next-generation AI SoCs. Extend Arm diagnostics tools, validate CPUs, memory, interconnects, PCIe, storage, firmware, and accelerators, and detect intermittent failures such as silent data corruption. Build configurable validation utilities and automation across server and rack-scale environments. Collaborate with hardware, firmware, and validation teams to improve observability, fault isolation, silicon bring-up, and platform reliability.