Manager, Engineering – AI & Platform

About the Company

Auvik delivers cloud-based network management software, giving IT teams visibility and control over complex infrastructures—on-site, remote, or globally dispersed. The platform automates network discovery, mapping, monitoring, configuration backups, traffic analysis, and alerting, helping IT professionals and MSPs manage multi-site environments efficiently.

Why Join Auvik

• Work on impactful technology used by IT teams to automate tasks, streamline operations, and reduce risk.

• Join a transparent and trustworthy leadership team with a strong vision.

• Work on a product customers love—highly technical and smart user base.

• Access regular learning and growth opportunities with feedback-driven development.

• Enjoy flexible work arrangements—fully distributed team.

Role Overview

Lead and grow a new AI-focused engineering team. Reporting to the Director of Engineering, you will own the strategy and execution for integrating AI and machine learning into Auvik’s product suite. This role combines people leadership with technical vision.

Responsibilities

• Lead and mentor a team of engineers and applied scientists.

• Define and execute the AI product roadmap with Product Management.

• Translate customer needs into shipped AI/ML features.

• Evaluate and integrate emerging AI technologies (LLMs, agents, predictive models).

• Establish engineering best practices for ML development.

• Collaborate with platform, data, and product teams to embed AI into core product experiences.

• Communicate progress and trade-offs clearly to leadership.

Qualifications

• Hands-on experience leading engineering teams and shipping AI/ML products.

• Strong product sense; ability to connect technical work to business outcomes.

• Knowledge of modern AI/ML: LLMs, RAG architectures, embeddings, fine-tuning, ML infrastructure.

• Experience developing and retaining technical talent.

• Comfort with ambiguity; pragmatic decision-making in fast-moving environments.

• Excellent communication, including translating complex technical concepts for non-technical stakeholders.

Bonus Points

• Background in network management, monitoring, or infrastructure software.

• Experience with AI-driven automation, anomaly detection, or predictive analytics in operations.

Hiring Process

• Personal, transparent, human-led process.

• Talent Acquisition Partners review resumes and connect with aligned candidates.

• Interviews conducted via Zoom with hiring manager and team members.

• Completion of a 5-minute Predictive Index (PI) assessment before interviews.

• AI tools are only used for administrative support, not for interviews or screening.