Engineering Manager

Malted builds specialised intelligence for financial institutions. Our products combine advanced language technology with deep domain understanding to help firms make faster, more accurate and more accountable decisions.

We focus entirely on financial services, working with leading banks, insurers and regulators to turn complex reasoning into clear, dependable intelligence.

Our flagship product,
Malted Pulse , provides AI that reasons transparently and can be inspected, governed and tuned to organisational policy.

We’re a small, highly technical team based in Edinburgh, combining deep machine learning experience with a rigorous approach to product design and engineering. We believe that making AI systems understandable isn’t just an ethical necessity, it’s a competitive advantage.

You’ll join the Pulse product team, responsible for building and evolving the systems that power Malted Pulse. The team designs and operates the distributed infrastructure that enables our customers to deploy reasoning agents at scale, with reliability, traceability and performance at the core.

As an Engineering Manager, you’ll be responsible for building, leading and scaling a high-performing engineering squads working on Malted Pulse. You’ll balance people leadership, delivery ownership and technical decision-making. Helping to drive a world-class engineering culture.

You’ll lead a cross-functional squad spanning frontend and backend software engineering, machine learning and design, working closely with leadership to turn strategy into execution. You’ll remain technically close to the work—reviewing designs, unblocking hard problems and setting a high bar for software quality.

Lead and support a cross-functional squad spanning frontend and backend software engineering, machine learning and design

Own delivery for key parts of Malted Pulse, ensuring work is well-scoped, prioritised and executed

Drive technical direction and architectural decisions in collaboration with senior engineers

Helping to create a world-class engineering culture can do their best work, balancing autonomy with accountability

Ensure engineering best practices across the team, including code quality, testing, security and reliability

Translate strategic goals into clear technical plans and execution roadmaps

Support hiring, onboarding and team scaling as Malted grows

Remain hands‑on with the codebase as a player–coach, contributing to design, implementation and reviews alongside the team. We are not solely looking for a people manager.

You’re an experienced engineering leader who enjoys developing people as much as software systems. You’re comfortable making decisions with incomplete information and thrive in environments where clarity, trust and ownership matter. You care deeply about technical quality, client outcomes, and building a world‑class AI‑enabled product.

Eligible to work in the UK

10+ years of professional software engineering experience, including experience in a technical leadership or management role

Proven experience leading and developing engineers, through mentorship, feedback and performance management

Experience delivering and operating production backend systems at scale

Strong experience with Python (or similar) and modern backend technologies

Deep familiarity with AWS or another major cloud platform

Experience with distributed systems, APIs and production infrastructure

Working knowledge of containerisation (Docker, Kubernetes) and CI/CD pipelines

Strong understanding of system design, reliability and engineering trade‑offs

Comfortable working in a fast‑paced, collaborative startup environment

Experience managing teams in enterprise or regulated environments (e.g. finance, insurance)

Background in deep tech, data-intensive or ML‑enabled products

Experience scaling teams or platforms through periods of rapid growth

Strong understanding of security and compliance considerations in distributed systems

MSc or higher degree in Computer Science, Software Engineering or a related field

Familiarity with ML concepts and deploying or integrating ML systems

Experience contributing…