Senior Data Engineer (AI)

Location: Hybrid in San Francisco, with three days per week onsite

Salary: $180,375–$200,850 annual base compensation, plus equity and benefits

Company

hirify.global builds software for active people, combining fitness and geographic data to help a global community track progress, stay motivated, and connect through movement.

What you will do

• Build and operate pipelines, APIs, and platform tooling for embeddings, ranking artifacts, clustering outputs, and enriched activity streams.
• Develop reliable, documented internal data products with clear contracts, freshness guarantees, monitoring, versioning, and deprecation paths.
• Create self-serve interfaces and golden paths that enable product and engineering teams to use data products without deep ML or data engineering expertise.
• Own data product delivery end to end, from pipeline and artifact schema design through deployment, monitoring, and downstream adoption.
• Collaborate with ML engineers, data engineers, data scientists, and product managers on model outputs, compute patterns, evaluation standards, and consumption patterns.
• Explore hirify.global’s fitness and geographic datasets to generate insights and improve product experiences used by millions of active people.

Requirements

• Experience building and operating complex, data-intensive backend systems in production at scale.
• Experience with access layers, platform tooling, or internal developer products for large-scale data or ML systems.
• Experience building production data pipelines and batch or stream workflows using technologies such as Spark, Kafka, Flink, Iceberg, Snowflake, or similar.
• Backend service development experience in cloud environments, preferably AWS, using Python, Scala, Go, or equivalent.
• Strong understanding of distributed systems and containerized infrastructure, including Kubernetes and Docker.
• Technical ownership, design trade-offs, cross-functional collaboration, mentoring, and familiarity with ML concepts such as embeddings, classification outputs, model evaluation, and GenAI integrations.

Culture & Benefits

• Flexible hybrid work model with regular onsite collaboration in the San Francisco office.
• Opportunity to build technology for a large global community of active people.
• Inclusive and collaborative workplace focused on diverse backgrounds, experiences, and perspectives.
• Equity and benefits are provided in addition to base compensation.