[Hiring] Senior Manager, Software Engineering @Alteryx

Role Description

Alteryx is looking for a Senior Manager, Software Engineering to lead a large, multidisciplinary engineering team building and operating AI-powered analytics products used by customers around the world.

• Lead a remote team of 10+ engineers across Australia, spanning backend, frontend, full-stack, data science, and platform engineering.
• Own customer-facing product capabilities as well as the services and infrastructure required to make them reliable, secure, scalable, and performant.
• Partner closely with Product Management, UX Design, Technical Program Management, senior technical leads, architects, and engineering leaders to translate product and technology strategy into meaningful customer and business outcomes.
• Maintain enough technical depth to provide sound engineering judgment, review significant technical proposals, and help navigate critical architectural and operational decisions.
• Focus on building strong teams, developing technical leaders, and delivering results through others rather than serving as the team's primary hands-on engineer.

A Day in Your Life Will Include:

• Lead, coach, and develop a multidisciplinary team of 10+ engineers, including hiring, performance management, succession planning, and career development.
• Build leadership capability among senior engineers and technical leads, creating strong and sustainable technical ownership across the team.
• Partner with Product Management to shape product and technical strategy and translate priorities into clear roadmaps and execution plans.
• Lead delivery across complex, cross-functional dependencies while identifying systemic execution gaps and improving transparency, predictability, and delivery effectiveness.
• Guide architectural consistency and review significant technical proposals across backend services, frontend experiences, data systems, and cloud infrastructure in partnership with senior engineers and architects.
• Own operational outcomes across service reliability, scalability, performance, security, cost optimization, observability, incident learning, and technical debt reduction.
• Champion the effective use of AI-assisted and agentic development practices throughout the software development lifecycle while maintaining strong standards for engineering ownership, testing, review, security, and quality.
• Communicate progress, risks, technical context, trade-offs, and recommendations clearly to senior leadership and cross-functional stakeholders.

Qualifications

• 10+ years of experience owning and delivering mission-critical software platforms, core systems, or complex SaaS products.
• Demonstrated success as an engineering manager, delivering outcomes beyond a single team or across a complex technical domain.
• Strong experience with distributed systems and leading teams responsible for scalable cloud services, production infrastructure, and customer-facing software.
• Strong engineering judgment across architecture, system design, service boundaries, data flows, performance, reliability, security, and operational trade-offs.
• Experience improving engineering quality through automated testing, CI/CD, observability, incident management, secure development practices, and disciplined technical debt management.
• A strong track record of coaching engineers at different career levels, developing technical leaders, and delivering results through others.
• Proven ability to influence product and engineering strategy and align teams across Product, Design, Architecture, Platform, SRE, InfoSec, and Engineering.
• Experience navigating ambiguity, organizational change, competing priorities, and incomplete information while maintaining clarity, focus, and team engagement.
• Excellent written and verbal communication skills, with the ability to communicate effectively with technical, product, customer-facing, and executive audiences.

Requirements

• Experience with the following technologies:
• Backend: Kotlin, Python, Java, C#, TypeScript
• Databases: PostgreSQL and other relational data technologies
• Messaging & Streaming: RabbitMQ, Kafka
• Cloud: Azure, GCP, AWS
• Containers & Orchestration: Docker, Kubernetes
• Infrastructure as Code: Terraform, Ansible
• CI/CD & Observability: GitLab CI/CD, Datadog, and related tooling.
• You don't need experience with every technology in our stack. We're looking for someone who has worked with comparable modern technologies and can apply strong engineering judgment within a complex SaaS environment.

Bonus Points

• Demonstrated experience applying agentic or AI-assisted development practices across the software development lifecycle, including human oversight, evaluation, testing, security, and governance at scale.
• Experience developing AI-powered products, agentic applications, LLM integrations, agent frameworks, or AI platform capabilities.
• Experience building data or analytics products, particularly within business intelligence, data platforms, decision intelligence, or adjacent industries.
• Experience leading teams responsible for operating and modernizing microservices, Kubernetes-based platforms, infrastructure as code, or multiple deployment models.
• Experience mentoring peer managers or contributing to broader engineering leadership practices beyond direct reporting lines.