Software Engineer, Data Infrastructure (AI)

Location: On-site in San Francisco or Cambridge, Massachusetts. Wednesdays are work-from-home.

Salary: $180,000–$300,000 per year, plus equity.

Company

hirify.global is an AI-native CRM that builds organized context from email, calendar, and meeting data, including accounts, tasks, follow-ups, and insights.

What you will do

• Scale the analytics serving path behind customer-facing dashboards, including query performance, workload isolation, read architecture, and observability.
• Design ingestion paths, event models, schemas, and query patterns moving transactional data into search, dashboards, and historical systems.
• Evolve the schema-flexible, graph-shaped data model for customer-defined objects, attributes, and relationships.
• Build foundations for historical reporting, auditability, usage metering, pipeline generation, and AI-agent evaluation data.
• Improve reliability through clear freshness, correctness, replay, migration, and failure-recovery guarantees.
• Set technical direction, architecture boundaries, ownership models, and engineering practices for data systems.

Requirements

• Strong software engineering fundamentals and experience owning production data systems.
• Experience with query plans, replication lag, backfills, data freshness, schema evolution, or data correctness affecting users.
• Ability to debug across multiple layers of the stack and choose practical tactical or architectural solutions.
• Product orientation, clear communication, strong ownership, and sound judgment about technical tradeoffs.
• Comfort working with high-volume data systems and infrastructure close to production and customers.

Nice to have

• Experience with ClickHouse, OLAP systems, event pipelines, data warehouses, or analytical infrastructure.
• Knowledge of Kafka, Flink, Spark, Iceberg, or similar streaming and lakehouse systems.
• Experience with Postgres at scale, OLTP/OLAP boundaries, APIs, queues, workflow systems, or distributed systems.
• Background in observability, incident response, service ownership, production debugging, or data systems for ML/AI.
• Experience in a high-growth product environment.

Culture & Benefits

• Competitive salary and meaningful early equity.
• Medical, dental, and vision insurance.
• Three weeks of paid time off, 11 paid company holidays, and a winter holiday break.
• Three months of paid family leave and a 401(k) plan.
• Regular team dinners, events, offsites, retreats, commuter support, and a lunch stipend.