Manager, Software Engineering (Sales Technology)

dimensional; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Travel reimbursement

Job summary

Dimensional is seeking a Manager of Software Engineering to lead the client asset reporting platform and Sales Technology ecosystem. You will guide architecture, drive AI-assisted engineering, ensure reliability, and manage cross-functional delivery for Global Client Group and Finance.

You will hire and coach engineers, set technical direction, prioritize work with data, and foster a culture of accountability while delivering measurable business value across critical platforms.

Qualifications

• Proven track record leading and developing software teams.
• Hands-on C#/.NET, SQL Server, and Snowflake with problem-solving skills.
• Ability to translate business priorities into engineering plans.
• Experience with AI-assisted software engineering and data-driven decisions.
• Strong communication with senior leadership and cross-functional partners.
• Experience in production applications including reliability and security.

Responsibilities

• Hire, coach, and develop engineers; foster ownership and accountability.
• Set long-term technical direction including AI-assisted engineering.
• Prioritize work using data and measurable outcomes.
• Oversee operational health and reliability of platforms.
• Manage engineering risk, security, and vulnerability controls.
• Communicate priorities, delivery, risks, and decisions to stakeholders.

Skills

Team leadership

Coaching

Performance management

Software architecture

C#/.NET

SQL Server

Snowflake

Kubernetes

CI/CD

Observability

AI-assisted engineering

Data-driven decisions

Tools

Kubernetes

SQL Server

Snowflake

PostgreSQL

MongoDB

Linux

Job description

Job Description:

Dimensional was built around a set of ideas bigger than the firm itself. With a confidence in markets, deep connections to the academic community, and a focus on implementation, we go where the science leads, and continue to pursue new insights, both large and small, that can benefit our clients.

The Technology Department at Dimensional leverages the rapidly evolving state of the art to engineer the platforms that power the innovative, research-driven financial and technical products to improve our client's financial lives.

The Manager of Software Engineering will lead the engineering team responsible for our client asset reporting platform and broader Sales Technology application ecosystem. This role requires strong expertise in C#/.NET development, data engineering, systems integration, and AI-assisted software development. In this role, you will oversee the design, development, delivery, modernization, and ongoing support of business-critical platforms serving the Global Client Group, Finance, and other cross-functional stakeholders.

This is a highly visible technical leadership role accountable for engineering quality, platform reliability, and continuous improvement. The successful candidate will foster a culture of ownership and accountability, guide technical decisions, develop engineering talent, and use measurable outcomes and data-informed decision making to evaluate performance, prioritize investments, and deliver meaningful business value.

DUTIES & RESPONSIBILITIES

• Hire, coach, develop, and hold engineers accountable. Build technical capabilities and a culture of ownership and continuous improvement.
• Set technical engineering direction - Establish the long-term direction for the team's technology, architecture, engineering practices, and capabilities, including AI-assisted engineering, while remaining sufficiently hands-on to understand the codebase, contribute when needed, and effectively guide technical decisions.
• Prioritize and deliver - Use data and measurable outcomes to inform prioritization of work, evaluate tradeoffs, improve team performance, and ensure engineering effort is focused on the highest-value priorities.
• Own operational health - Use operational data and engineering metrics to understand system health, identified opportunities for improvement, and ensure applications and services are reliable, supportable, and effectively operated.
• Own engineering risk and security - Ensure vulnerabilities, technical debt, lifecycle risks, controls, and other engineering risks are understood, prioritized, and addressed.
• Communicate and align - Provide senior leadership and stakeholders with clear, data-informed visibility into priorities, delivery, performance, risks, tradeoffs, and decisions.

QUALIFICATIONS

• Demonstrated experience leading and developing software engineering teams, including coaching, performance management, and building technical capability.
• Strong software engineering background with the technical judgement to guide architecture, engineering practices, operational reliability, and technical tradeoffs.
• Working knowledge of AI-assisted software engineering practices and emerging agentic development approaches.
• Strong software engineering background with hands-on development experience with C#/.NET, Microsoft SQL Server, and Snowflake, with the ability and willingness to contribute directly.
• Experience translating business and product priorities into engineering direction, priorities, and executable plans.
• Demonstrated ability to use data and metrics to understand performance, identify opportunities, and inform decisions.
• Experience leading teams responsible for production applications, including operational support, reliability, security, and vulnerability management.
• Strong communication and stakeholder-management skills, including the ability to communicate technical topics, priorities, risks, and tradeoffs to senior leadership and non-technical audiences.

PREFERRED EXPERIENCE

• Leading modernization of established applications, engineering practices, or technology platforms
• Managing engineering teams supporting enterprise-scale, business-critical applications
• Working in a regulated or highly controlled environment, including security, risk, audit, or compliance considerations
• Introducing or scaling AI-assisted and agentic software engineering practices, including establishing effective usage patterns, guardrails, and measures of impact
• Improving DevOps, CI/CD, observability, automated testing, and modern software delivery practices
• Containerized applications and modern application orchestration platforms such as Kubernetes
• Python, PostgreSQL, MongoDB, Linux

#LI-Hybrid

While this position is remote-work eligible, you are required to report to the Company's offices for orientation and your first week of work, and on a periodic basis thereafter. Travel expenses will be reimbursed in accordance with Dimensional's policies.

Dimensio