# Head of AI Engineering

**Company:** [Linktree](https://hotfix.jobs/companies/linktree)
**Location:** Remote
**Role:** ML Engineering
**Experience:** 8+ years
**Skills:** Ai Operations, Ml Pipelines, Model Versioning, Prompt Versioning, Llm Tooling, Evaluation Harnesses, Monitoring, Incident Response, Data Governance, Vendor Risk
**Posted:** 2026-09-04

> Leads the production AI platform and internal AI adoption strategy, overseeing pipelines, evaluations, monitoring, reliability, cost controls, governance, and enablement. Requires substantial hands-on experience operating ML/AI systems and strong judgment across technical and executive stakeholders.

## Job Description

## Responsibilities
- Own Linktree’s AI platform, including pipelines, model and prompt versioning, evaluation harnesses, monitoring, and rollback.
- Establish standards for evaluating AI features before and after launch.
- Own inference cost, latency, reliability, and related operational metrics.
- Drive internal AI adoption through tooling, agent workflows, and enablement across Product, Engineering, Marketing, and Support.
- Establish proportionate governance for data handling, vendor risk, and pre-launch evaluation.
- Partner with Data, Engineering, and Product leadership to sequence AI investments against the roadmap and financial model.
- Make pragmatic build-versus-buy decisions.
- Mentor engineers and analysts working on AI products and improve operational standards.

## Requirements
- 5–7 years of experience in ML/AI engineering, data platforms, or AI operations, including hands-on ownership of production systems.
- Experience operating AI or ML systems in production, including pipelines, model and prompt versioning, evaluation, monitoring, and incident response.
- Fluency with modern LLM tooling and practical considerations such as cost, latency, context limits, and nondeterministic outputs.
- Demonstrated success driving internal AI adoption through enablement and tooling.
- Strong build-versus-buy judgment and comfort making pragmatic decisions with incomplete information.
- Ability to establish appropriate guardrails for data handling, vendor risk, and pre-launch evaluation.
- Excellent communication skills with both technical and executive audiences.
- Ability to work from the Melbourne or Sydney offices on a hybrid basis, or remotely within Australia.

## Compensation and Benefits
- Competitive compensation package including cash, equity, and benefits.
- Annual wellbeing allowance.
- Medical, dental, vision, disability, and life insurance coverage for eligible US-based employees.
- Employer retirement contribution.
- Generous vacation, holiday, parental, volunteer, and other leave.
- Employee stock option program.

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