Senior Software Engineer, Agentic Marketplace

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.

As a Senior Software Engineer, you’ll play a key role in building the core systems that power our agentic advertising platform. You’ll develop APIs, agent interfaces, and transaction systems that support both human users and AI agents as first-class participants.

You’ll work at the intersection of advertising technology, distributed systems, and emerging AI agent frameworks—helping translate architectural vision into scalable, production-ready systems.

This is a Fullstack (80/20 backend leaning), hands-on role. You’ll write production code, contribute to system design, and collaborate closely with a small, senior team to bring new agent-driven capabilities to life.

• Build and maintain scalable APIs for both human and AI agent clients
• Contribute to the development of agent interfaces, MCP servers, and A2A communication layers
• Implement systems that support real-time advertising transactions at scale
• Partner with Staff engineers to design robust, extensible architectures
• Collaborate with product and design to develop clear, agent-friendly API contracts
• Integrate and experiment with emerging agent frameworks and protocols
• Participate in design reviews and provide thoughtful technical input
• Write high-quality, maintainable code and improve system reliability
• Identify edge cases in agent behavior and help design safeguards

• 5+ years of experience building backend or fullstack systems
• Strong experience with API development (REST or event-driven systems)
• Proficiency in TypeScript/Node.js and React
• Experience working with cloud platforms (GCP or AWS)
• Familiarity with distributed systems concepts (scalability, reliability, observability)
• Interest in or exposure to AI agent systems, LLMs, or autonomous workflows
• Ability to collaborate effectively in a small, fast-moving team
• Strong problem-solving skills and attention to detail

• Experience with MCP, A2A, or similar communication protocols
• Background in advertising technology or marketplace platforms
• Experience building systems with real-time or high-throughput requirements

• API Layer: TypeScript/Node.js, REST and event-driven services
• Agent Interfaces: MCP servers and A2A protocol handlers
• Data: PostgreSQL, BigQuery, Cloud Storage, Redis

The salary range for this role is $130k-$190k USD; $140k-$200k 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, and final offers reflect demonstrated skills, experience, and role expectations.

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)
• Equity: Stock options

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.

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.

As a Senior Software Engineer, you’ll play a key role in building the core systems that power our agentic advertising platform. You’ll develop APIs, agent interfaces, and transaction systems that support both human users and AI agents as first-class participants.

You’ll work at the intersection of advertising technology, distributed systems, and emerging AI agent frameworks—helping translate architectural vision into scalable, production-ready systems.

This is a Fullstack (80/20 backend leaning), hands-on role. You’ll write production code, contribute to system design, and collaborate closely with a small, senior team to bring new agent-driven capabilities to life.

• Build and maintain scalable APIs for both human and AI agent clients
• Contribute to the development of agent interfaces, MCP servers, and A2A communication layers
• Implement systems that support real-time advertising transactions at scale
• Partner with Staff engineers to design robust, extensible architectures
• Collaborate with product and design to develop clear, agent-friendly API contracts
• Integrate and experiment with emerging agent frameworks and protocols
• Participate in design reviews and provide thoughtful technical input
• Write high-quality, maintainable code and improve system reliability
• Identify edge cases in agent behavior and help design safeguards

• 5+ years of experience building backend or fullstack systems
• Strong experience with API development (REST or event-driven systems)
• Proficiency in TypeScript/Node.js and React
• Experience working with cloud platforms (GCP or AWS)
• Familiarity with distributed systems concepts (scalability, reliability, observability)
• Interest in or exposure to AI agent systems, LLMs, or autonomous workflows
• Ability to collaborate effectively in a small, fast-moving team
• Strong problem-solving skills and attention to detail

• Experience with MCP, A2A, or similar communication protocols
• Background in advertising technology or marketplace platforms
• Experience building systems with real-time or high-throughput requirements

• API Layer: TypeScript/Node.js, REST and event-driven services
• Agent Interfaces: MCP servers and A2A protocol handlers
• Data: PostgreSQL, BigQuery, Cloud Storage, Redis

The salary range for this role is $130k-$190k USD; $140k-$200k 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, and final offers reflect demonstrated skills, experience, and role expectations.

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)
• Equity: Stock options

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.

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