Backend Engineer (Python)

Location: Hybrid in New York, NY, with preference for candidates within commuting distance of offices in San Francisco, Seattle, or New York City

Salary: $165K–$205K base annually, excluding equity and benefits

Company

hirify.global provides an AI-driven causal marketing platform that helps businesses measure and optimize the impact of marketing spend.

What you will do

• Build and evolve BigQuery data pipelines that fetch, aggregate, and transform KPI data across geographies and data granularities.
• Extend the statistical estimation library, including new estimators, standard error methods, and performance improvements for large panel datasets.
• Improve the Metaflow-based orchestration system that schedules and executes thousands of daily analyses on Kubernetes.
• Design monitoring, alerting, and self-healing patterns for autonomous production pipelines.
• Translate research prototypes into tested, observable production code with applied scientists and ensure results flow into customer-facing APIs and frontends.
• Participate in on-call rotation and use AI development tools to accelerate delivery.

Requirements

• 3+ years of experience building and shipping production software systems.
• Strong Python proficiency with pandas, NumPy, pytest, and Poetry.
• Experience with large datasets, data pipelines, ETL systems, SQL, and analytical databases such as BigQuery or Snowflake.
• Comfort deploying, monitoring, and operating cloud-native services, preferably in GCP.
• Ability to read statistical code, understand experimental design concepts, and collaborate effectively with scientists and researchers.
• Clear communication skills and experience integrating AI development tools such as Claude, Cursor, or Copilot into software development.

Nice to have

• Experience with workflow orchestration frameworks such as Metaflow, Airflow, Dagster, or Prefect.
• Earlier-stage startup experience and familiarity with statistical or scientific computing.
• Experience with Kubernetes, containerized workloads, event-driven architectures, experimentation platforms, A/B testing infrastructure, or causal inference systems.
• Experience coordinating releases across multiple interconnected repositories.

Culture & Benefits

• Small, mission-driven teams focused on inclusion, collaboration, ownership, and growth.
• Flexible paid time off and equity participation.
• Health, dental, and vision insurance with multiple plan options.
• Work-from-home stipend, office events and offsites, and free lunch when working from the office.
• New parent leave and an in-person collaboration environment.