Manager, Software Engineering (Ad Data Infra)

TL;DR

Manager, Software Engineering (Ad Data Infra): Leading and mentoring an engineering team to streamline and fortify monetization data processing infrastructure with an accent on modern data processing solutions and AI integration. Focus on setting strategy, building roadmaps, and collaborating with cross-functional teams to modernize data processing systems.

Location: This role requires working in an office 4+ days per week, based in Los Angeles or Palo Alto, USA.

Salary: $229,000–$343,000 annually (Zone A, US)

Company

hirify.global is a technology company dedicated to improving communication through camera-based products like its visual messaging app, augmented reality platform Lens Studio, and AR glasses Spectacles.

What you will do

• Manage and mentor a team of engineers in a fast-paced, quick-to-market environment.
• Set the strategy, build a roadmap, create measurable goals, and lead your team to deliver.
• Collaborate with cross-functional teams and stakeholders, interfacing between Monetization engineering and infrastructure partners.
• Evaluate technical tradeoffs of major decisions and be a strong technical mentor.
• Hire, grow, and retain high-performing team members.

Requirements

• Bachelors in a technical field such as Computer Science or equivalent experience.
• 9+ years of post-Bachelor’s software development experience (or 8+ years with a Master’s degree, 5+ years with a PhD).
• Background with building high availability and mission critical systems.
• Strong technical understanding of modern data processing, storage, and querying solutions (such as Flink, Google Cloud Dataflow, Datalake, Google BigQuery).
• Experience with leading an engineering team.
• Ability to lead and execute large, complex technical initiatives.

Nice to have

• Track record of delivery in rapidly changing, highly collaborative, multi-stakeholder environments.
• Experience with large-scale distributed data processing systems or data pipelines.
• Hands-on experience with building solutions on top of modern data ingestion, processing, and warehousing infrastructure (such as Kafka, Spark, Flink, Iceberg, Google Dataproc, Databricks).
• Proficiency in using data analysis tools like Google BigQuery or Trino.
• Experience with AI Agent development and MCP protocol.

Culture & Benefits

• "Default Together" policy requires team members to work in an office 4+ days per week.
• Comprehensive benefits including paid parental leave, medical coverage, and emotional/mental health support programs.
• Compensation packages that include equity in the form of RSUs.
• Committed to being an equal opportunity employer and fostering a diverse and inclusive environment.