The AI Operations Lead is the person who owns the performance and continuous improvement of Hodor, Nauta’s AI-driven data extraction engine. This role sits at the intersection of model operations, quality assurance, and cross-functional coordination: making sure the systems that power Nauta’s platform run reliably, improve over time, and deliver measurable value to clients from day one.
Reporting to the Head of Ops, the AI Operations Manager is an individual contributor with high technical and operational ownership. This is not a people management role: it’s a systems and process ownership role for someone who thrives in AI-native environments, thinks in feedback loops, and is driven by measurable outcomes.
What you’ll do
- Own Hodor’s model training and performance: lead the graduation of data extraction clusters, define rules (e.g. domain blacklists per client), and drive continuous improvement of model accuracy and coverage
- Manage the model trainers team (AI Specialists focused on training): coordinate their work, set priorities, and ensure output quality meets Nauta’s standards
- Manage data inflow operations: monitor capture completeness of incoming data and adapt processing capacity based on daily inflow volume to prevent backlogs and maintain throughput
- Drive time-to-value for new clients: ensure every new client reaches 30% of queues in auto-pass within 7 days, and build the processes that make this repeatable at scale
- Own quality assurance of data extraction: define QA frameworks, track error rates, and close the loop between issues identified and model or rule improvements implemented
- Lead continuous automation and improvement: systematically reduce dependence on human labor through smarter models, better rules, and tighter feedback loops with Research and Tech
- Ensure optimal functionality and uptime of Hodor: proactively monitor, troubleshoot issues, and coordinate resolutions to keep platform performance at the highest standard
Who you are
- You have a strong operational foundation: 3+ years of experience in AI operations, data operations, or technical program management: you understand how AI/ML systems work in production and how to keep them healthy
- You think in systems and feedback loops: you don’t just fix problems: you find the root cause, design the fix, and make sure it doesn’t happen again
- You’re metrics-driven: you define what good looks like, track it consistently, and use data to make decisions: comfortable building dashboards, writing specs, and documenting processes
- You’re genuinely technical: you don’t need to be a data scientist, but you understand model training concepts, data pipelines, and quality frameworks, and you can collaborate with engineers as a peer
- You communicate with precision: you write clearly, escalate the right things at the right time, and make sure nothing gets lost between teams
- You own outcomes, not tasks: high accountability, low ego: if something in your area isn’t working, you fix it without being asked
Nice to have
- Experience working with data extraction, OCR, or document processing systems: you’ll ramp faster and go deeper from day one
- Background in supply chain, logistics, or B2B operations: understanding the client context makes your decisions sharper
- Familiarity with SQL, Python, or BI tools: enough to pull your own data and build quick analyses
About Nauta
Nauta is your AI partner, powered by an AI operational brain. Nauta reads how your company works: your email, your documents, your rules. Then AI agents do the daily work, like reading every document, checking invoices and chasing what’s missing. You stay in control.