Software Engineering Manager (Java + Angular)
Allata · Dallas, TX, US
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- Location
- Dallas, TX, US
- Type
- Full-time
- Posted
Allata is a global consulting and technology services firm founded in 2016, with 350+ employees across the US, India, and Argentina. We partner with some of the world's largest enterprises to move AI from idea to production — building intelligent agents, data foundations, and governance frameworks that scale.
Our teams work at the intersection of strategy, engineering, data, and design, helping clients modernize their technology, unlock data value, and create meaningful digital experiences. At Allata, you'll join an agile, cross-functional team that works closely alongside clients — making a real impact and building lasting partnerships.
Allata is looking for a Software Engineering Manager to join a client product team and provide technical direction across a cross-functional engineering squad.
This role is ideal for an experienced engineer who enjoys staying close to the code while having a broader impact through architecture, technical standards, and team development. You’ll work closely with product and engineering stakeholders to turn complex requirements into well-structured solutions, anticipate technical risks, and create an environment where engineers can deliver high-quality software consistently.
The ideal candidate combines strong technical depth with leadership and communication skills, can make pragmatic architectural decisions, and is comfortable shaping how a team adopts emerging technologies—including AI-assisted development.
Allata is looking for a Software Engineering Manager to join a client product team and provide technical direction across a cross-functional engineering squad.
This role is ideal for an experienced engineer who enjoys staying close to the code while having a broader impact through architecture, technical standards, and team development. You’ll work closely with product and engineering stakeholders to turn complex requirements into well-structured solutions, anticipate technical risks, and create an environment where engineers can deliver high-quality software consistently.
The ideal candidate combines strong technical depth with leadership and communication skills, can make pragmatic architectural decisions, and is comfortable shaping how a team adopts emerging technologies—including AI-assisted development.
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