Staff Software Engineer

1 month ago

Chicago, IL, USA or San Francisco, CA, USAStaff+

Base Salary

$180k - $190k/yr

Responsibilities

Embed with marketing subject-matter experts across campaigns, property marketing, content, social, ABM, and performance intelligence to design and ship production agents.
Build, deploy, operate, and improve AI agents that draft content, configure campaigns, monitor performance, and recommend optimizations using marketing context and business data.
Design and grow a reusable Marketing Domain Skills Library of composable LLM workflows for drafting, scoring, classification, and brand-voice tuning.
Build integrations with CMS, DAM, CRM, marketing automation, advertising, and analytics systems, including through Marketing MCP servers when available.
Translate integration and capability gaps into prioritized requirements for the marketing platform team.
Own production reliability, observability, evaluation, factual grounding, regression suites, offline benchmarks, and cost efficiency for LLM workflows.
Design multi-agent orchestration patterns, boundaries, escalations, and handoffs across campaign, social, ABM, content, property, and performance agents.
Set technical standards and playbooks for progressing from SME conversations to pilots and deployed production agents.
Represent MarTech Engineering with leadership, customers, and the broader engineering community, and publish technical learnings through internal and external channels.
Drive experimentation, innovation, and technical quality for agent systems operating at scale.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
5+ years of software engineering experience in production systems, including significant experience integrating enterprise APIs.
Hands-on experience with modern LLM APIs, prompt engineering, tool use or function calling, structured outputs, and context engineering.
Experience designing agent systems involving multi-step reasoning, tool orchestration, memory, error recovery, and human-in-the-loop escalation.
Practical experience addressing hallucination grounding, tool reliability, silent failures, evaluation quality, cost and latency tradeoffs, prompt drift, and long-term production behavior.
Experience building RAG systems with embeddings, vector stores, retrieval optimization, and grounding.
Experience deploying and operating LLM-powered services or agents in production cloud environments, including authentication, networking, secrets, observability, rollback, and cost monitoring.
Ability to embed with non-technical domain experts, translate ambiguous problems into shippable scope, and make pragmatic build-versus-workaround decisions.
Strong communication skills across technical and non-technical audiences, including marketing SMEs, leadership, and platform engineers.
Strong analytical, interpersonal, ownership, collaboration, learning, and problem-solving skills in distributed, product-focused teams.
Professional proficiency in written and verbal English.

On-site work in Chicago, Illinois, or San Francisco, California.
401(k) plan with matching company contributions.
Comprehensive medical, dental, and vision care.
Paid parental leave at 100% of salary.
Paid time off and company holidays.
Early access to earned wages through Daily Pay.
Supportive culture and benefits focused on physical, mental, and emotional well-being.

10,000+ employees