Director of Application Engineering

Causaly

. Lead engineering teams responsible for the agentic research product and customer-facing applications through engineering managers .

Posted 11/12/2026full-timeLondon • United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive leadership in software engineering, focusing on AI-first workflows and customer outcomes while managing engineering teams and driving strategic direction. Proven ability to deliver predictable results and shape organizational culture in a scale-up environment.

Highest-signal resume keywords

10+ Years In Software Engineering4+ Years Leading Engineering ManagersExperience Leading Distributed TeamsAI Fluency And ImplementationCustomer-First Approach

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Coding AgentsPredictable DeliveryQuality PracticesAgentic SystemsLLMMLEngineering LeadershipPlanning On Real CapacityTrade-Off Decision MakingBuilding Reusable Tooling

Soft Skills

Clear CommunicationStrategic JudgmentCoaching And MentoringCultural ShapingCross-Functional Collaboration

Industry Keywords

Life SciencesBiomedical DataEnterprise B2B SaaSScale-Up EnvironmentAI-First Workflows

About the role

Key responsibilities & impact

Lead engineering teams responsible for the agentic research product and customer-facing applications through engineering managers
Set application-engineering direction within the broader engineering strategy
Define team structure and operating model, including significant resourcing and structural decisions
Establish monthly plans with Product based on real capacity and make trade-offs explicit
Drive roadmaps and cross-functional technical programmes
Focus teams on customer outcomes and validate product usage and impact
Own quality, security, operational health, release practices, and incident response
Manage and coach engineering managers
Build the management layer and own the hiring plan
Shape organizational culture
Drive AI-first workflows, reusable tooling, enablement, standards, and ROI targets
Partner with VPs, Product, Data, DevOps, and Security leadership
Represent engineering externally in hiring
Participate in engineering leadership decisions and lead engineering when needed

Requirements

What you’ll need

10+ years in software engineering
4+ years leading engineering managers
Experience in a scale-up environment is ideally preferred
Track record of predictable delivery, including planning on real capacity, limiting work in progress, and making trade-offs with Product
Customer-first approach focused on measurable customer value
Experience leading teams that build with AI coding agents, including Claude Code or similar
Experience with AI-agent review, testing, and quality practices
Experience leading distributed teams across countries and time zones
Clear, direct communication with engineers, product leaders, and executives
Broad engineering leadership across several sub-domains
Strategic judgment for areas without deep personal expertise
Existing AI fluency and ability to implement AI-first workflows, shared tooling, standards, and measurable ROI
Experience with LLM, ML, or other AI-powered features in production is nice to have
Life sciences, biomedical data, or enterprise B2B SaaS experience is nice to have
Hands-on experience building agentic systems is nice to have
Ability to work from the office 4 days per week
Must answer whether UK visa sponsorship is required