Software Engineering Manager - Qualified

Leadout Capital; California; On-site; USD 180,000 - 250,000; Full time

Job summary

Leadout Capital is seeking an Engineering Manager to build and lead our new Data team. You will own data models, ETL pipelines, Data 360, Salesforce sync, analytics, and data APIs. The role requires hiring and shaping the team, setting direction, and raising data quality across the platform.

You will partner with senior tech leaders to drive enterprise data integrations, analytics infrastructure, and Salesforce ecosystem efforts. Strong leadership and data fluency are essential.

Qualifications

• Experience leading engineering teams building data platforms, pipelines, or high-scale backend systems.
• Strong hiring instincts: ability to source, close, and ramp engineers.
• Strong technical depth in data systems (PostgreSQL, OLAP like ClickHouse, CDC, ETL, or CRM data modeling).
• Comfort with ambiguity and building a roadmap from scratch.
• Driver mindset: proactive, outcomes-focused, hands-on when needed.
• Excellent communication and collaboration with stakeholders outside data.

Responsibilities

• Lead hiring against a high bar and own interview loop.
• Own the Data charter and roadmap, data models, ETL pipelines, and Data APIs.
• Guide end-to-end data architecture and engineering excellence across modeling, ingestion, sync, and serving.
• Define data quality disciplines: SLOs, data contracts, and operational discipline.
• Collaborate across leadership, product, and Salesforce counterparts to align priorities.

Skills

Engineering management

Data platform

PostgreSQL

ClickHouse

CDC

ETL

Data modeling

Hiring

Communication

Job description

Note: By applying to the Engineering Manager posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams.

*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTUREFORCE FOR OPPORTUNITIES*

Overview

We are looking for an experienced Engineering Manager to build and lead our new Data team. This is a high-impact leadership role focused on owning Qualified's data layer end to end: the models, pipelines, sync, and analytics that every product area and every AI agent we ship depends on. The team is already about half staffed, with a clear set of systems to own; you'll hire the rest, set the roadmap, and raise the bar for data quality and reliability across the platform. You'll partner closely with senior technical leaders and help drive execution across enterprise data integrations, analytics infrastructure, and the Salesforce ecosystem. We're looking for someone capable of building a team from the ground up with operational excellence and technical fluency, while bringing people leadership to the table.

What You'll Do

Build and Grow the Team: Lead hiring against a higher bar, own the interview loop, and shape the team's identity, rituals, and standards. Own the Data Charter & Roadmap: Take ownership of leads and accounts data models, ETL pipelines, Data 360, Salesforce sync, analytics and insights, data integrations, and Data APIs. Turn a set of inherited systems into a coherent platform strategy, and sequence the investments with engineering and product leadership. Drive Data Architecture & Engineering Excellence: Guide end-to-end technical decisions across data modeling, ingestion, sync, and serving. Ensure the data layer is correct, fresh, observable, and easy for other teams to build on as the platform grows. Champion Data Quality & Reliability: Define what good looks like: SLOs, data contracts, and the operational discipline to back them. Every product team and every AI agent depends on this layer being trustworthy. Collaborate Cross-Functionally: Partner with leadership, product teams, and Salesforce counterparts to align on priorities, ensuring data is integrated into strategic decision-making and delivering results that move the business forward.

What We're Looking For

• Experience managing engineering teams building data platforms, pipelines, or high-scale backend systems, ideally in high-growth environments.

• Strong hiring instincts: you can source, close, and ramp strong engineers.

• Strong technical depth in several of: 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: this team has a charter and a backlog of expectations, but no established roadmap or conventions yet.

• A "driver" mindset: proactive, outcomes-oriented, and unafraid to roll up your sleeves when needed.

• Strong communication and collaboration skills, especially with stakeholders who don't work on data all day.

Why Join Qualified

• Data Impact at Scale: As the leader of the Data team, you'll own the charter, the roadmap, and the hiring behind the layer that every product area builds on.

• High-Growth Environment: Join us at a pivotal stage where you can establish data practices and standards that will scale with our rapid growth and expansion.

• Cutting-Edge AI: Piper's intelligence is bounded by the data she can reason over. You'll work on unique problems where data freshness and grounding directly shape agent behavior in a B2B platform.

• Salesforce Ecosystem Leverage: Shape how Qualified data moves into Salesforce Data Cloud and the broader ecosystem, unlocking the enterprise deals that depend on it.

• Close Leadership Collaboration: Partner with leadership and product teams to ensure data is integrated into our strategic decision-making.

If you're ready to take on a high-visibility role where you'll build the team behind our data platform and help shape the future of our AI-powered platform, we'd love to hear from you.