Staff Software Engineer, Agentic Marketplace

Reposted 9 Days Ago
2 Locations
Remote
160K-230K Annually
Senior level
Software
The Role
Technical leader designing scalable APIs and agent interfaces for autonomous advertising agents. Build high-throughput real-time systems, evaluate agent protocols, drive architecture, mentor engineers, and integrate external ad platforms.
Summary Generated by Built In

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 Agentic Marketplace 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
  • 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


Nice to Have:
  • Experience in advertising technology is a strong plus
  • Familiarity with MCP, A2A, or similar standards


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 $160k-$230k USD / $170k-$225k 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.

Skills Required

  • 8+ years building distributed backend systems at scale
  • 4+ years in a technical leadership role
  • Strong expertise in API design and architecture (REST, GraphQL, event-driven systems, auth, versioning)
  • Experience with AI agent frameworks and communication protocols, or ability to rapidly learn them
  • Proficiency with Go, Python, TypeScript/Node.js, 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
  • Experience in advertising technology
  • Familiarity with MCP and A2A standards
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The Company
54 Employees
Year Founded: 2022

What We Do

Scope3 is the source of truth for supply chain emissions data

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