Product Engineer, Marketing Innovation (AI)

TL;DR

Product Engineer, Marketing Innovation (AI): Building and optimizing autonomous, AI-native systems that directly drive revenue, pipeline, and marketing efficiency with an accent on end-to-end product execution and applying hirify.global models. Focus on translating ambiguous problem statements into production-grade software and continuously iterating based on live usage and performance data.

Location: Onsite in San Francisco, CA. Must be based in the US.

Salary: $255K – $405K + Offers Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Build autonomous and semi-autonomous customer-facing and internal agentic systems to drive Revenue, Pipeline, and Marketing efficiency.
• Own end-to-end product execution, from early prototypes to reliable production systems with strong instrumentation and evaluations.
• Work across the full stack, including APIs, orchestration, data flows, frontend experiences, and deployment.
• Partner closely with marketing, demand gen, and enterprise sales stakeholders to define success metrics and functional requirements.
• Apply hirify.global models and tooling in novel ways, making informed tradeoffs between models, platforms, and architectures.
• Continuously iterate based on live usage, agent behavior, and performance data.

Requirements

• 4+ years of experience as a software, product, or ML engineer working on user- or customer-facing systems.
• Experience building, deploying, or operating complex systems in production, ideally including agents or automation at scale.
• Comfortable working without a groomed backlog and enjoy framing problems, proposing solutions, and executing end-to-end.
• Fluent in Python or JavaScript and comfortable building full-stack applications.
• Hands-on experience with APIs, cloud infrastructure, orchestration, and production monitoring.
• Curious about modern AI models and excited to experiment with how evolving capabilities change system design.

Culture & Benefits

• Focus on impact: measured by revenue, enterprise pipeline, and Marketing efficiency.
• Ownership over real systems and building 0->1 products.
• Opportunity to define new categories of AI-native products and workflows.
• Commitment to diversity, equal opportunity, and providing reasonable accommodations to applicants with disabilities.