Data Platform Lead for AI & Analytics

Own Company; California (MO); On-site; USD 190,000 - 270,000; Full time

Job summary

Qualified is seeking an Engineering Manager to build and lead the Data team, owning data models, pipelines, Salesforce integrations, and analytics. You will define the platform strategy, recruit top engineers, and partner with senior technical leaders to drive end-to-end data solutions across products and AI agents.

You will shape data quality standards, ensure data freshness, and collaborate with executives to align data initiatives with business goals, while guiding execution across enterprise

Qualifications

• Experience managing engineering teams building data platforms, pipelines, or high-scale backend systems.
• Strong hiring instincts to source, close, and ramp engineers.
• Deep technical depth in PostgreSQL at scale, ClickHouse or similar OLAP systems, CDC and event streaming, ETL orchestration, or data modeling for CRM-shaped domains.
• Comfort operating in ambiguity: a charter and backlog but no established roadmap yet.
• A driver mindset: proactive, outcomes-oriented, and hands-on when needed.
• Strong communication and collaboration with stakeholders who don't work on data daily.

Responsibilities

• Build and grow the team by leading hiring, shaping rituals and standards.
• Own the Data Charter & Roadmap: data models, ETL pipelines, Data 360, Salesforce sync, analytics and data APIs.
• Drive Data Architecture & Engineering Excellence across modeling, ingestion, sync, and serving.
• Champion Data Quality & Reliability with defined SLOs and data contracts.
• Collaborate cross-functionally with leadership, product teams, and Salesforce counterparts to align priorities.

Skills

Engineering management

Hiring

PostgreSQL

ClickHouse

ETL

Data modeling

CDC

Ambiguity tolerance

Communication

Cross-functional collaboration

Tools

Salesforce

Job description

Qualified is seeking an Engineering Manager to build and lead the Data team, owning data models, pipelines, Salesforce integrations, and analytics. You will define the platform strategy, recruit top engineers, and partner with senior technical leaders to drive end-to-end data solutions across products and AI agents.

You will shape data quality standards, ensure data freshness, and collaborate with executives to align data initiatives with business goals, while guiding execution across enterprise