Join an early-stage AI video team as a founding backend engineer, helping build the systems behind generative video products. You will provide technical leadership on a small team and establish strong engineering practices as the product and infrastructure grow.
Compensation
Base salary: $225,000 to $275,000 annually. Visa sponsorship is not available.
Responsibilities
Design and develop scalable backend systems for AI-powered video creation.
Build infrastructure for agentic workflows, video generation pipelines, reinforcement learning loops, and real-time data processing.
Own distributed systems architecture and improve reliability through automated testing, performance benchmarks, and end-to-end observability.
Partner with research, engineering, and design teammates to develop product features and APIs.
Write production code, set technical direction and engineering guidelines, and raise the team's engineering standards.
Lead the migration of authentication services to an independent, scalable platform while setting technical direction and ensuring security and reliability.
Locations (2)
United States
Canada
Compensation
The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Responsibilities
Design and implement migration of authentication services
Set technical direction for new authentication services
Own significant designs for session and device management flows
Publish authentication events for other services
Set standards for testing, observability and safe rollout
Lead the service desk function and elevate the end‑user support experience across the company, managing a distributed team, setting SLAs, reporting KPIs, and driving continuous improvement.
Locations (4)
Bellevue, Washington, United States
Newtown Square, Pennsylvania, United States
New York, New York, United States
San Francisco, California, United States
Compensation
Pathstone’s expected starting base compensation range for the position as of the time of this posting is $110,000 - $130,000 per year. The actual base compensation selected for this role will be set based on a variety of factors, including (but not limited to) experience, education, specialty and training. The successful candidate(s) may also be eligible for a discretionary bonus award.
Software Engineer II, Platform Infrastructure - Control
Build and maintain robust orchestration systems, idempotent APIs, and high-quality developer tooling for Okta’s Platform Control team.
Compensation
The annual base salary range for this position for candidates located in Canada is between: $114,000—$157,300 CAD
Responsibilities
Help build, maintain, and scale the Control Server, API, and CLI tools that manage the lifecycle of our environments, from provisioning to decommissioning.
Contribute to backend logic powering automated rollbacks, hotfixes, and release patching to keep deployments safe and predictable.
Enhance automated provisioners that enable product teams to self-serve high-fidelity test environments without friction.
Implement and maintain event publishing pipelines to broadcast environment state changes reliably across platform services.
Improve the developer experience by contributing to well-documented, intuitive CLI and API interfaces with actionable error messaging.
Lead the technical, data, and project aspects of Kalepa's key applied AI initiatives, owning architecture, evaluation infrastructure, and model strategy for large-scale LLM-based systems.
Locations (2)
United States
Canada
Compensation
We differentiate our North America salary ranges using two geographical zones:
Zone 1 (New York and San Francisco) - $270,000 to $345,000*
Zone 2 (all other locations in the US and Canada) - $243,000 to $310,500*
Responsibilities
Lead technical, data, and project aspects of applied AI initiatives
Set technical direction for LLM-based systems at scale
Own and deliver complex engineering features end to end, from technical design and implementation through validation, deployment, monitoring, and production support.
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Responsibilities
Own and deliver complex engineering features end to end, from technical design and implementation through validation, deployment, monitoring, and production support.
Design and build secure, scalable, highly available cloud services and APIs supporting Agent 365 management and governance scenarios.
Contribute to capabilities such as agent registry, lifecycle management, identity integration, ownership, governance actions, administrative APIs, and cross-platform orchestration.
Drive technical design for ambiguous problems, make sound engineering tradeoffs, and turn product requirements into maintainable architectures.
Work across service boundaries and partner teams to define contracts, resolve dependencies, and deliver coherent end-to-end experiences.
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
Responsibilities
Design and build agentic systems
Partner with operational teams to understand workflows
Develop and deploy production-grade agentic systems
Build and ship features for an AI-enabled revenue cycle management platform, including full-stack development, event-driven services, integrations, and AI agent orchestration.
Locations (2)
Chicago, Illinois, United States
United States
Compensation
The target base compensation for this position is $130,000 to $160,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.
Responsibilities
Build and ship features across a full-stack RCM worklist platform, from the user interface through backend services, APIs, and the data model
Develop event-driven services and workflows that route, prioritize, and track work across people and AI agents
Help build the shared automation foundation: the queues, state, and handoff logic that let an AI agent pick up a work item, finish it, or hand it back to a person, along with audit history, approval gates, and access controls for agent actions
Build and maintain integrations that connect the platform with EverHealth products, our clearinghouse, and third-party systems
As a Senior Backend Engineer, you will be a key player on the team building our next-generation Agentic Platform. Own the backend services that power our AI agent platform — async workflows, internal APIs, and the external-facing capabilities our customers build on.
Compensation
The pay range for this position is between $100,000 - 160,000 plus Incentive Bonus.
Responsibilities
Collaborate with product managers, data scientists, and other engineers to build and refine the APIs, orchestration logic, and data pipelines for our AI agents
Own the architecture and implementation of highly scalable and reliable backend services that manage the lifecycle and execution of asynchronous agentic tasks
Educate other engineering teams and advocate for scalable and maintainable architectural decisions
Continually improve our technical stack and processes
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