Engineering Manager

Job Summary

The Software Engineering Manager is responsible for leading

cross functional,cross discipline teams to design, build, and deliver

high-quality software solutions across multiple products and product types.

Our teams are highly innovative not just on what they are

building but how they are building it. We're proud to be on the cutting edge of

new technologies and pioneers in Agentic Engineering processes, trialing and

providing our engineers with the latest tools and technology available. Nothing is

sacred except the compelling desire to build innovative and beautiful software

that is a joy to use, not a burden. The engineering process here is itself a

product we build and iterate on, not a fixed playbook we adopt.

This role combines people management, technical leadership,

and project execution, ensuring teams are productive, aligned with

business goals and continuously improving. The ideal candidate has a strong

technical background,proven leadership experience, and the ability to scale teams

and processes with out of the box thinking. If you think of yourself as an

energetic technologist with an entrepreneurial bermindset, an early adopter, and

someone who may have been held back in the past, this might be your chance.

You will work across more than one product in your first

year. You will think about software, organization, and product as one system with

feedback loops,and you will treat agile as a set of principles to reason

from rather than a process to perform.

Key Responsibilities

Communication

This is your biggest skill and most important

responsibility. You will often be the voice of the team, inspiring, empowering and motivating

people to take risks, to challenge assumptions, to create a safe place for

engineers to be imaginative in an industry that historically rewards

conservative thinking.

Listen with the intent to learn. Speak with the intent to

help.

Team Leadership & People Management.

Lead, mentor, and grow a team of software engineers,

designers, DevOps, across different experience levels.

Conduct performance reviews, career development planning,

and regular 1:1s

Foster a culture of creativity, collaboration, and

continuous learning

Drive hiring, onboarding, and retention strategies,

including hiring engineers who work productively with AI agents on production code.

Delivery & Execution

Own the delivery of software projects from planning to

release.

Ensure projects are completed on time, within scope, and

meet quality standards.

Manage team capacity, planning, and prioritization in a

truly Agile environment.

Remove blockers and ensure smooth execution.

Technical Leadership

Provide guidance on system design, architecture, and best

practices.

Review and approve technical designs and key architectural

decisions.

Ensure code quality through reviews, standards, and

engineering best practices.

Collaborate with Tech Leads on implementation strategies.

Make deliberate decisions about which work belongs to

engineers and which is delegated to AI agents, with evals and guardrails to know if

it's working.

Process & Operational Excellence

Implement and improve the team's planning, review, and

delivery process from first principles, name the problem each ceremony solves, and

drop or change practices that don't earn their keep.

Establish engineering metrics (cycle time, defect rates,

deployment frequency, agent-assisted output share).

Drive continuous improvement in development workflows and

tools.

Ensure efficient CI/CD pipelines and DevOps practices.

Quality, Security & Reliability

Promote best practices in testing, code quality, and system

reliability.

Ensure adherence to security standards and data protection

practices.

Oversee incident management and post-mortem processes.

Strategic Contribution

Contribute to engineering strategy and roadmap

planning.

Identify opportunities for innovation and technical

improvements.

Support scaling of systems, teams, and processes as the

engineering organization grows, including how engineering process scales

as we go from two product teams to four.

Requirements:

Bachelor's degree in Computer Science, Engineering,

or related field (or equivalent experience).

7+ years of software development experience, with 4+ years

in a management role.

Strong background in modern software development practices

and methodologies.

Experience managing Agile teams and delivering complex

software projects,ideally including teams that have changed their own process

based on what they learned.

Strong leadership and people management skills.

Solid technical foundation in software architecture and

development.

Excellent communication and stakeholder management.

Experience with cost management on cloud platforms (AWS,

Azure, or GCP).

Understanding of DevOps, CI/CD, and modern development

tools.

Hands-on experience integrating AI coding agents (Claude

Code, Cursor, Copilot or similar) into a production engineering workflow, with a

view on what they're good at and what they're not.