Manager I, Engineering - Core Analytics (AI)

TL;DR

Manager I, Engineering - Core Analytics (AI): Leading an engineering team to build a secure, scalable Core Analytics Data Access Platform that accelerates hirify.global’s Applied AI and analytics capabilities with an accent on providing reliable datasets and APIs for model training and analysis. Focus on long-term platform planning and collaboration with Applied AI, Product Analytics, and internal platform teams.

Location: New York, New York, USA. Hybrid workplace.

Salary: $187,000—$240,000 USD

Company

hirify.global is a global SaaS business delivering growth and profitability, focused on breaking down silos and solving complexity in the cloud age through infrastructure monitoring.

What you will do

• Lead, manage, mentor, and grow a small team of data engineers, fostering technical excellence and career development.
• Define architecture, engineering priorities, and the team roadmap for the Data Access Platform.
• Contribute to design and code for critical platform components to ensure performance, reliability, and operational excellence.
• Partner with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets.
• Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.
• Evolve storage, processing frameworks, API patterns, and operational practices to enable broader adoption and prepare the platform for increased scope and usage.

Requirements

• Hands-On Engineering Manager who enjoys managing a small team while remaining an active contributor to design and code.
• Experienced in Data Pipelines and At-Scale Data Engineering, with practical experience building ETL/ELT, streaming and/or batch workflows, and production data servicing layers.
• Practical knowledge of AWS, Spark, and Iceberg (or equivalent table formats and compute frameworks).
• Collaborative partner to data scientists and analysts with a track record of working with applied ML teams to operationalize data for model training and analysis.
• Operationally strong with experience defining SLAs, building observability, running incident response, and enforcing data governance in production systems.
• Pragmatic architect and deliverer, able to balance short-term delivery with long-term architecture and make tradeoffs that advance product and platform goals.

Culture & Benefits

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
• Continuous professional development, product training, and career pathing.
• Intradepartmental mentor and buddy program for in-house networking.
• An inclusive company culture with access to Community Guilds (hirify.global employee resource groups).
• Access to Inclusion Talks, internal panel discussions, and free, global mental health benefits for employees and dependents age 6+.
• Competitive global benefits, healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.