Senior Automation, AI Engineer

Timescapes

. Partner with Sales, Marketing, Customer Success, Service Delivery, Field Service, Finance, and Product to identify high-value friction and improvement opportunities .

Posted 10/13/2026full-timeAuckland • New ZealandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI automation, workflow optimization, and systems integration, with a strong focus on improving operational efficiency and managing vendor relationships. Proven ability to lead AI enablement initiatives and develop practical solutions in fast-paced SaaS environments.

Highest-signal resume keywords

AI Automation ToolsSQLAPIsData ModellingVendor Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Automation EngineeringData EngineeringAnalytics EngineeringScriptingSystems IntegrationWorkflow BuildersAgent FrameworksTechnical Fundamentals

Soft Skills

Strong Written CommunicationStrong Verbal CommunicationAbility to Upskill OthersJudgement in Decision MakingComfort with Ambiguity

Tools & Technologies

HubSpotOdooChargebeeMotherDuckAPIs and Integrations

Industry Keywords

SaaSStartup EnvironmentResponsible AIOperational EfficiencyService Delivery

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Partner with Sales, Marketing, Customer Success, Service Delivery, Field Service, Finance, and Product to identify high-value friction and improvement opportunities
Track new possibilities in AI and automation and evaluate tools and operating-model changes
Map undocumented workflows and understand value flow before automating
Build and deploy agentic AI workflows, automations, and internal tools across multiple systems and functions
Measure outcomes, iterate, and retire ineffective solutions
Own the reliability and maintainability of systems and automations after deployment
Manage vendors and contractors where buying is preferable to building
Control and make visible running costs
Work deeply with HubSpot, Odoo, Chargebee, MotherDuck, the company platform, and their APIs and integrations
Define business entities, systems of record, and trustworthy reporting metrics
Lead AI enablement through sessions, practical playbooks, and team upskilling
Establish standards for privacy, security, appropriate AI use, transparency, and costs
Improve internal company operations; customer-facing AI features are owned by another team
Report to the Co-founder and Chief Technology Officer, transitioning to the Chief Operating Officer over time

Requirements

What you’ll need

5+ years across automation, data, analytics engineering or related roles, with recent and substantial hands-on AI work
A portfolio of things you have built; willingness to walk through them
Experience in a fast-moving SaaS or startup environment where you owned outcomes end to end
Experience scoping and managing external vendors and contractors
Hands-on AI experience with AI automation tools, workflow builders, automation platforms, and agent frameworks
Judgement to know when a simple script beats an agent
Strong technical fundamentals in SQL, coding, APIs, scripting, and systems integration
Data modelling experience sufficient to define entities and metrics
Track record of changing how a function works
Comfort with operational and field teams, including scheduling, dispatch, install workflows, and service tickets
Familiarity with commercial systems and bolt-on sprawl
Practical understanding of responsible AI
Comfort with ambiguity and ability to write playbooks where none exist
Ability to enable and upskill others, including people sceptical or overwhelmed by AI
Strong written and verbal communication
Must have the legal right to live and work in New Zealand

Benefits

Comp & perks

Competitive compensation package
Enhanced Parental Leave offering
EAP support