Software Engineer, Marketing Innovation (AI)

TL;DR

Software Engineer, Marketing Innovation (AI): Building and owning autonomous, customer-facing and internal agentic systems that directly drive revenue, pipeline, and marketing efficiency with an accent on end-to-end product execution and applying hirify.global models in novel ways. 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, US. For US-based candidates, background checks will be administered in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

Salary: $230,000–$385,000 + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity by pushing the boundaries of AI systems and safely deploying them through products.

What you will do

• Build autonomous and semi-autonomous customer-facing and internal agentic systems that directly drive Revenue, Pipeline, and Marketing efficiency.
• Own end-to-end product execution, from early prototypes to reliable production systems with strong instrumentation and evals.
• 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, 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.
• Curiosity about modern AI models and excitement to experiment with evolving capabilities in system design.

Nice to have

• Familiarity with sales, marketing, or go-to-market workflows, or eagerness to learn how revenue systems operate.

Culture & Benefits

• Dedicated to ensuring general-purpose artificial intelligence benefits all of humanity.
• Pushes the boundaries of the capabilities of AI systems and safely deploys them to the world through products.
• Committed to providing reasonable accommodations to applicants with disabilities.
• Believes artificial intelligence has the potential to help people solve immense global challenges.
• Values the many different perspectives, voices, and experiences that form the full spectrum of humanity.