Senior Software Engineer II (AI)

Location: New York City, United States; hybrid work

Salary: $156,364–$279,957 per year for candidates based in the United States. OTE of $172,000–$306,000 per year includes bonus or commission and is not included as base salary.

Company

hirify.global is a customer engagement platform that helps brands deliver personalized experiences through cross-channel messaging, journey orchestration, and AI-powered decisioning.

What you will do

• Lead complex integration projects from design through rollout and set technical direction for the Decisioning Studio integration platform.
• Design and build integrations with cloud data warehouses, customer engagement platforms, and other enterprise systems for data ingestion and activation orchestration.
• Build large-scale ingestion pipelines supporting batch pulls, file drops, APIs, streaming, arbitrary schemas, schema changes, and backfills while preventing invalid data from reaching models.
• Build event-driven, fault-tolerant activation pipelines that deliver recommendations on schedule, recover from partial failures, and prevent duplicate delivery.
• Design for multi-region deployment, data residency, and PII handling; instrument production systems with Datadog, participate in on-call rotation, and lead incidents to root cause.
• Collaborate with data scientists, ML engineers, and product managers; mentor engineers and improve code quality, testing, and design reviews.

Requirements

• 6+ years of backend engineering experience building and operating distributed systems in production.
• Technical leadership experience owning complex projects end to end, making architecture decisions, and setting direction for other engineers.
• Experience building data pipelines or integrations that move very large data volumes between systems, including schema changes, backfills, and partial failures.
• Strong understanding of event-driven architecture and reliability patterns, including message brokers such as Kafka, idempotency, retries with backoff, dead-letter handling, and at-least-once versus exactly-once tradeoffs.
• Proficiency in Python and SQL.
• Hands-on experience with cloud infrastructure, preferably GCP, and Kubernetes.
• Experience with AI coding assistants and the judgment to determine when they are useful.
• Clear communication and effective collaboration with engineering, data science, and product teams.
• Ability to identify problems and work around obstacles independently.

Nice to have

• Experience integrating with cloud data warehouses such as BigQuery, Snowflake, or Redshift.
• Experience integrating with customer engagement platforms such as hirify.global, Adobe, Salesforce Marketing Cloud, or Klaviyo.
• Experience building multi-region systems under data residency and compliance requirements.
• Experience running ML systems in production.

Culture & Benefits

• Hybrid ways of working with a curated in-office experience focused on community, team connections, and innovation.
• Competitive compensation that may include equity, retirement and employee stock purchase plans.
• Flexible paid time off and comprehensive medical, dental, vision, life, disability, and parental benefits.
• Professional development through formal career pathing, learning platforms, and a yearly learning stipend.
• Employee resource groups, volunteer opportunities, donation matching, and a collaborative, transparent culture.

Hiring process

• AI-assisted tools may analyze application materials and support interview scheduling, recording, and note summarization.
• Candidates may opt out of AI-assisted application review or request an alternative selection process where applicable.