Engineering Manager - Servicing & Fulfillment (AI)

TL;DR

Engineering Manager - Servicing & Fulfillment (AI): Building and optimizing event-driven, service-oriented systems for post-purchase experiences with an accent on technical excellence, product partnership, and AI adoption. Focus on fostering a high-trust environment, driving operational standards, and continuously improving engineering workflows.

Location: Remote, US

Salary: $166,500-$193,500 per year

Company

hirify.global is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth, backed by prominent technology investors and headquartered in San Francisco.

What you will do

• Coach and mentor a team of engineers, fostering their career growth through personalized development plans and feedback.
• Provide technical guidance and architectural oversight for event-driven, service-oriented systems, ensuring scalability and maintainability.
• Collaborate closely with Product, Design, and Operations leaders to define roadmap and translate business requirements.
• Own the end-to-end delivery of complex features and projects utilizing Agile methodologies and an AI-native SDLC.
• Drive the strategic adoption of AI across the team and partner with product teams to define AI-native product capabilities.
• Drive the team’s operational standards, including on-call rotations, incident response, monitoring, and automated testing.

Requirements

• 10+ years of experience in software development, including building and operating production systems in high-volume transactional domains.
• 3+ years of experience as an Engineering Leader (Manager, Director, or equivalent) directly managing engineers.
• Deep understanding of service-oriented and microservice architectures, with practical experience designing event-driven systems.
• Experience with cloud-native and serverless architectures and infrastructure as code, ideally on AWS (e.g., Lambda, DynamoDB, SQS/SNS).
• Proven track record of building, growing, and leading high-performing engineering teams, including hiring and mentoring.
• Experience leveraging AI/LLM-based tools within engineering teams, and an aptitude for applying AI thoughtfully.

Culture & Benefits

• Work with a great team from diverse backgrounds in a collaborative and supportive environment.
• Competitive salary based on experience, with full medical and dental & vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.