TL;DR

Engineering Lead (AI): Leading and scaling the engineering function, driving innovation around multi-platform builds, and evolving internal processes around CI/CD, QA automation, observability, and DevOps. Focus on designing and building internal tools powered by AI to automate development, QA, and data workflows, and guiding architectural decisions across various products.

Location: San Francisco

Salary: $100K – $300K

Company

%hirify_global% is an AI Native Command Center for businesses that centralizes internal and external data with external insights to aid decision-making and predict the future.

What you will do

Lead and scale the engineering function to ship high-quality features weekly.
Drive innovation for multi-platform builds, including web, Chrome, and native mobile apps.
Own and evolve internal processes for CI/CD, QA automation, observability, and DevOps.
Design and build AI-powered internal tools to automate development, QA, and data workflows.
Collaborate with Product to scope, plan features, break down technical work, and ensure quality.
Mentor engineers and guide architectural decisions across web/mobile apps, AI agent, Chrome extension, and data platform.

Requirements

6–10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles.
Familiarity across our tech stack (Node.js, Python, SQL, React, iOS, Android).
Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles.
Strong background in DevOps and QA best practices, including CI/CD pipelines and automated testing.
Experience building and scaling data-rich products, including APIs, integrations, scraping tools, or cloud platforms.
Actively look for ways to integrate LLMs and automation into engineering processes with an AI-native mindset.

Nice to have

Background in data integration, CRM, sales/marketing tooling, or AI-first products.
Experience with data science models and building AI/ML infrastructure.
Strong cloud infrastructure skills (AWS, GCP, or Azure).
Familiarity with building Chrome extensions, Mac apps, or multi-platform tooling.

Culture & Benefits

Opportunity for ownership, influence, and to work at the intersection of AI, data, and business strategy.
Fast-paced environment, executing in weekly sprints and building with purpose.
Focus on high-impact work, tight feedback loops, and a role that touches product, customer, and data.