Staff Software Engineer (Fullstack, BE-leaning)
关于 Scope3 Scope3运营代理到代理广告交换平台，在每个重要广告面积中品牌及其代理商发现，谈判和交易：社交，电视，音频，人工智能界面，赞助的情报以及新兴。基于 AdCP (Agent Advertising) 的公开协议，管理，透明定价和完整的审计能力，构成了每笔交易.Scope3与全球领先的广告商，机构，出版商和平台合作，并与北美，欧洲和亚太地区的团队合作。我们是一个由65名完全远程团队成员组成的风险投资支持公司，我们很幸运能够由经验丰富的领导团队领导，其中许多人设计和工程现今所知的数字广告景观。关于角色 我们正在通过人工智能代理构建程序性广告未来。我们的技术团队正在创造基础设施，使人工智能机构可以自主发现，谈判并交易媒体库存。在这个职位上，你将成为负责提供 APIs,协议和代理界面的技术领袖，为我们的代理广告平台提供动力。你将设计出 AI 代理是第一等级的参与者，拥有自己的身份验证，能力和通信标准。你将在广告技术，分布式系统和新兴人工智能代理框架交叉点工作，做出塑造我们的市场发展方式的建筑决策。这是一个 Fullstack （80/20后端倾向）,实践领导作用。你将写作生产代码，原型新的代理沟通模式，审查系统设计和导师工程师，同时设定技术方向。这不是典型的工程角色。· 我们在没有固定的游戏手册的空间中运营，因此这份角色最适合那些舒服地创建结构的地方。·我们的方法有利于快速实验而不是先前完美性。·我们测试，学习，然后正式化了工作。· 速度很快，并且往往超越了感觉舒适的东西。对于正确的人来说，这是吸引人的一部分。· 我们还正在寻找已经积极探索 AI 的工程师。这并非在工作环境中学会它。· 建立和运营实时广告高吞吐量系统
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About Scope3
Scope3 operates the Interchange for agent-to-agent advertising — the place where brands and their agents discover, negotiate, and transact across every advertising surface that matters: social, CTV, audio, AI interfaces, sponsored intelligence, and those still emerging. Built on AdCP, the open protocol for agentic advertising, with governance, transparent pricing, and full auditability built into every transaction.
Scope3 works with leading advertisers, agencies, publishers, and platforms globally, with teams across North America, Europe, and APAC.
We’re a venture-backed company of 65 fully remote team members and are fortunate to be led by an experienced leadership team, many of whom designed and engineered the digital advertising landscape as we know it today.
About the Role
We’re building the future of programmatic advertising through AI agents. Our technical team is creating the infrastructure that enables AI agents to discover, negotiate, and transact media inventory autonomously.
In this role, you’ll be a technical leader responsible for the APIs, protocols, and agent interfaces that power our agentic advertising platform. You’ll design systems where AI agents are first-class participants, with their own authentication, capabilities, and communication standards.
You’ll work at the intersection of advertising technology, distributed systems, and emerging AI agent frameworks—making architectural decisions that shape how our marketplace evolves.
This is a Fullstack (80/20 backend leaning), hands-on leadership role. You’ll write production code, prototype new agent communication patterns, review system designs, and mentor engineers while setting technical direction.
This isn’t a typical engineering role
- We’re operating in a space without a fixed playbook, so this role is best suited for builders who are comfortable creating structure where none exists.
- Our approach favors rapid experimentation over upfront perfection—we test, learn, and then formalize what works.
- The pace is fast and often pushes beyond what feels comfortable. For the right person, that’s part of the appeal.
- We’re also looking for engineers who are already actively exploring AI—this isn’t a “learn it on the job” environment.
Responsibilities:
- Design and architect scalable APIs for both human and AI agent clients
- Lead development of agent interfaces, MCP servers, and A2A communication layers
- Build and operate high-throughput systems for real-time advertising transactions
- Evaluate and integrate emerging agent frameworks and protocols
- Partner with product and design to define clear, agent-friendly API contracts
- Drive architectural decisions around authentication, protocols, and transaction flows
- Collaborate with external DSPs, SSPs, and agent platform partners
- Mentor engineers on API design, distributed systems, and agent architectures
- Anticipate and address edge cases in autonomous agent behavior
Qualifications:
- 8+ years building distributed backend systems at scale
- 4+ years in a technical leadership role
- 4+ years working professionally within the AdTech ecosystem
- Strong expertise in API design and architecture (REST, event-driven systems, auth, versioning)
- Experience with AI agent frameworks and communication protocols, or the ability to rapidly learn and evaluate them
- Proficiency with TypeScript/Node.js, React, and cloud platforms (GCP or AWS)
- Experience designing systems for autonomous or semi-autonomous decision-making
- Track record of mentoring engineers and fostering a collaborative team culture
- Comfort working in fast-moving, evolving environments
Tech Stack:
- API Layer: TypeScript/Node.js, REST and event-driven services
- Agent Interfaces: MCP servers and A2A protocol handlers
- Data: PostgreSQL, BigQuery, Cloud Storage, Redis
As the agent ecosystem evolves, you’ll help evaluate new technologies and ensure our marketplace remains at the forefront.
Compensation:
The salary range for this role is $180k-$230k USD / $190k-$245k CAD.
These ranges span multiple location-based salary bands across the US and Canada. Candidates are aligned to a narrower range based on geographic market compensation data specific to where they live, and final offers reflect demonstrated skills, experience, and role expectations.
Benefits & Perks:
Details vary by location (USA/Canada), but all employees receive:
- Health & wellness: Comprehensive medical, dental, and vision coverage with significant employer contribution; short- and long-term disability coverage; health savings/flexible spending options
- Retirement: Employer-matched retirement savings plan (401(k) or RRSP)
- Time off: Generous paid time off, statutory holidays, and year-end office closure
- Parental leave: 13 weeks fully paid (eligibility requirements apply)
- Remote work: Company-provided home office equipment, setup stipend, and access to WeWork spaces
- Equity: Stock options
A Note To Applicants
We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.
Originally posted on Himalayas