Engineering Manager

Job description

Deputy is a global SaaS workforce management company with hubs in Sydney, Melbourne, San Francisco and London, plus team members working remotely across the United States. Our platform serves over 1.5 million workers and 375,000 workplaces across 100+ countries. We are backed by top global investors and achieved Unicorn status in 2024. 
 
At Deputy, we’re improving the world of work, one shift at a time, for 80% of the world’s workforce: hourly workers. These are the dedicated employees who keep our world running – from baristas to nurses, cleaners to delivery drivers, florists to factory workers. Despite their vital role in society, most workplace technology has focused on those workers who sit behind a desk, but at Deputy, we transform the frontline. When businesses use Deputy, their workplaces thrive – the business is more profitable, compliant, and productive, while the workers are more engaged and happier at work.
 
We're becoming an AI-native company, a commitment that means you'll be empowered (and expected) to use AI tools and thinking in your day-to-day work. You'll have the training, support, and freedom to use AI responsibly and creatively to spark ideas, solve problems faster, and unlock new ways of working.
 
If you’re passionate about creating solutions that put people first and helping businesses and their teams thrive, join us at Deputy and make an impact where it matters most!

The role
Reporting to the Director of Engineering, you will lead the engineering team responsible for Scheduling, one of the most heavily used parts of Deputy. You will lead and grow engineers with a range of experience while helping the team make sound technical decisions and deliver meaningful improvements for customers.
Deputy powers hourly work for more than 1.5 million shift workers across 380,000 workplaces in over 100 countries. Businesses have used the platform to create more than a billion shifts. At the heart of this is Scheduling, where business demand, employee availability, labour costs and compliance come together.
The role combines the complexity of a mature, business-critical product with the opportunity to improve its foundations and shape what comes next. The team is modernising established workflows, improving performance for larger customers and exploring where AI can make scheduling simpler and more effective.
This is a technical engineering leadership role. You will develop a strong understanding of the product and architecture so you can contribute to technical discussions, coach senior engineers and help the team make pragmatic trade-offs. During your first few months, you will spend some time in the codebase and may contribute targeted changes as part of learning the product. Over time, your greatest impact will come through the performance and growth of the team.

What you will do
Lead the team

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Set clear expectations, give useful feedback and coach engineers through their growth, performance and career development.

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Build a team culture where people can challenge ideas, learn from mistakes and hold a high bar for each other.

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Create clarity when priorities change, surface risks early and help the team maintain a predictable delivery cadence.

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Hire thoughtfully as the team grows and reduce single points of failure through cross-skilling and deliberate resourcing decisions.

Shape the technical direction

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Develop a deep understanding of the Scheduling product and its architecture so you can contribute meaningfully to technical decisions.

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Work with senior engineers to set technical direction and make clear decisions about architecture, frameworks and build-versus-buy trade-offs.

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Guide improvements to the performance, reliability, security and maintainability of a multi-tenant product used by businesses around the world.

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Stay close to the engineering work through design reviews, architecture discussions, incident learning and targeted proofs of concept.

Deliver customer and business outcomes

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Partner closely with Product, Design and Data to turn strategy and customer problems into a focused roadmap with measurable outcomes.

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Balance near-term customer value with the technical investment needed to keep Scheduling fast, dependable and ready for enterprise scale.

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Keep the team connected to Deputy's goals and explain the context behind priorities and trade-offs.

Help evolve how we build with AI

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Use AI-assisted and agentic development tools on real work and form your own view of where they help and where they do not.

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Help the team develop effective working practices for machine-drafted code, including review, testing, observability and documentation.

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Maintain the quality bar by ensuring that what ships is correct, secure, maintainable and understood by the people who own it.

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When the team contributes to customer-facing AI, work with Product and Engineering on evaluation, guardrails, cost, latency and graceful failure.

What we are looking for

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