Share your details at ClearPoint (Auckland, New Zealand)

ClearPoint· Auckland, New Zealand·4d ago

Role details

Work type

Hybrid

Job description

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We have regular contract and new permanent openings based all over New Zealand & Australia. Some onsite in our office or remotely working from home.

We're always on the lookout for great people to join our team to consult, design & engineer solutions with our great clients.

Culture: Collaborative, inclusive, and people-first environment with a strong focus on shared learning and unlocking potential. Described as "a workplace you can be proud of."
Flexibility: Remote and flexible working arrangements are fully supported, enabling work-life balance.
Benefits: Competitive remuneration, health insurance, subsidised gym memberships, annual training & certification budget, wellness workshops, free fruit, team sports, yoga, massages, games nights, and a dog- and kid-friendly Auckland office with barista coffee.
Tech Perks: BYOD company with annual allowance for permanent staff; phone allowance.
Engineering Culture: Access to resources and training from partners, lunch & learn sessions, tech community meet-ups, and the opportunity to work on complex, market-leading projects.
Growth: ClearPath for career progression, with roles spanning design, consulting, and engineering.

One-liner: ClearPoint is an agentic-first digital services firm that helps organisations embed AI into software engineering and business operations to accelerate delivery and drive lasting business value.
Entity Type: Private (Bootstrapped)
Headquarters: Auckland, New Zealand
Founded: 2007
Founders: Not publicly available

Primary industry/industries: IT Services and IT Consulting, Digital Design, Software Engineering, Data & AI
Target customers: Enterprise and mid-market organisations (B2B) across New Zealand, Australia, and the United States
Mission or purpose statement: To help organisations succeed in a continually changing digital landscape by combining digital design, software and platform engineering, data and insights, artificial intelligence, and consulting services.

Agentic Software Engineering: High-velocity delivery using trunk-based development, automated quality gates, and AI-native practices to compress cycle times from weeks to hours.
Cloud & Platform Engineering: Technology-agnostic infrastructure built for scale and observability.
Enterprise Modernisation: AI-assisted refactoring to turn legacy constraints into competitive advantages.
Data & AI (Amplify AI): Building AI-ready data foundations and governance layers to enable real-time, conversational insights and generative BI.
Technology Strategy & Consulting: Aligning strategy, ways of working, and technology foundations for an agentic future.
Managed Services: Ongoing support and management of technology and platforms.

Valuation/Market Cap: Not disclosed (privately held)
Key Metric: Annual Revenue of USD $38 million (latest available)
Notable Investors/Partners: Not publicly listed; partners likely include major cloud and AI platform providers (inferred from service offerings)
Growth Signals: Headcount of 100 employees (+0.8% YoY); LinkedIn follower growth of +19.5% yearly; expanding presence in Australia and the United States; active hiring for Principal Consultant, AI Engineering Director, and contract roles

Proprietary F25 Engineering Standards: A set of engineering practices that combine enterprise-grade safety with startup-like velocity, including automated testing, code reviews, and CI/CD.
18+ Years of Experience: Established track record since 2007, with deep enterprise relationships and a proven ability to navigate complex, regulated environments.
AI-First Mindset: Embedded agentic AI across all service lines, from strategy to delivery, giving clients a head start in adopting autonomous agents.
Flexible Engagement Models: Independent teams, hybrid teams, or individual talent placement – allowing clients to scale capacity without long-term overhead.

Agentic AI Diffusion: Helping leaders embed autonomous agents into key operational processes to multiply team output and scale with confidence.
Velocity Compression: Reducing software delivery cycle times from weeks to hours through AI-native delivery foundations.
Data Activation: Transitioning clients from static reporting to real-time, conversational insights using generative BI and predictive modelling.
Upskilling & Knowledge Transfer: Building internal capabilities within client organisations so that velocity and AI adoption persist after engagements end.

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