Engineering Leader, Sales Technology Platforms

Dimensional Fund Advisors

Austin (TX)

Hybrid

USD 180,000 - 280,000

Full time

3 days ago
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Benefits offered by this job

Remote work eligibility
Hybrid work model

Job summary

Dimensional Fund Advisors is seeking a Manager of Software Engineering (Sales Technology) to lead the engineering team responsible for client asset reporting platforms and the broader Sales Technology ecosystem. The role requires hands-on coding in C#/.NET, data engineering, and systems integration, with a focus on AI-assisted software development and platform reliability.

You will hire, coach, and guide engineers, set technical direction, and drive data-informed decisions to deliver business

Qualifications

  • Strong leadership with ability to coach and develop software engineering teams.
  • Hands-on experience in C#/.NET, SQL Server, and data platforms like Snowflake.

Responsibilities

  • Hire, coach, and develop engineers; build a culture of ownership and continuous improvement.
  • Set long-term technical direction for the team’s architecture and practices, including AI-assisted engineering.
  • Prioritize work using data-driven insights and ensure delivery of high-value features.
  • Own operational health, reliability, security, and risk management of production systems.
  • Communicate priorities, risks, and tradeoffs clearly to senior leadership and stakeholders.

Skills

C#/.NET development
Data engineering
Systems integration
AI-assisted software development
Leadership
Stakeholder communication

Tools

Microsoft SQL Server
Snowflake

Job description

Dimensional Fund Advisors is seeking a Manager of Software Engineering (Sales Technology) to lead the engineering team responsible for client asset reporting platforms and the broader Sales Technology ecosystem. The role requires hands-on coding in C#/.NET, data engineering, and systems integration, with a focus on AI-assisted software development and platform reliability.

You will hire, coach, and guide engineers, set technical direction, and drive data-informed decisions to deliver business

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