Product AI Ops Lead
Indexed description
Our software is used by many of the world leading e-commerce, retail, manufacturing, and 3PL shippers due to us having over 1000 carriers integrated into our platform, nearly 3 times more than our competitors!
If you buy goods online, there is a strong chance that nShift has powered that delivery, so come and join us as we shape the future of shipping, one frictionless journey at a time.
Purpose of role
This role has two mandates. The first is company-wide: manage the central agentic platform that nShift runs on, including the tooling, integrations, governance model, and enablement layer that makes agent-driven work possible across every function. The second, and your immediate proving ground, is to transform how the product functions, using that same platform to make every core process from discovery to delivery faster and increasingly agent-driven.
As platform manager, you define what good looks like for agentic workflows at nShift, build the shared infrastructure other functions adopt, and partner with champions across the business to drive the model outward. What you build is not a product team tool; it is company infrastructure.
Product ops is where you prove the model.
You run the processes the product function depends on: prioritization, specification, coordination, and launch, and you own a concrete roadmap for making each one agent-driven. The PRD template you standardize this month is the artifact you make machine-executable next quarter. The planning ceremony you streamline now is the one you make obsolete.
You report to the CPO and work closely with the VPs of Product, the PM team, and engineering leadership, as well as with dedicated champions across the business as the platform scales.
What You'll Be Doing
Own the product operating system and make it agentic
For each process: operate it, improve it, design its agent-driven successor
- Prioritization and planning. Own roadmap planning cycles and portfolio prioritization. Cut anything that feels like process without making work better. Build toward agent-ready planning artifacts that reduce ceremony without reducing clarity
- Product specification. Set the standards for PRDs, user stories, and acceptance criteria. Build templates PMs actually use, then evolve them into structured artifacts an agent can decompose and act on
- Product launch. Own the end-to-end launch process: readiness, release notes, GTM coordination, and the post-launch feedback loop. Build toward automated summaries, checklist monitoring, and stakeholder updates that go out without a PM chasing them
- Organization-wide coordination. Own the infrastructure, keeping cross-functional work moving: portfolio reviews, dependency tracking, and the communication cadence across sales, CS, and engineering. Build toward a status propagating automatically, and humans govern decisions rather than tracking updates
- Build and maintain the shared agentic platform, including best practices, integrations to business systems, and enablement of champions across the organization
- Design the governance model: which decisions need human review, which need oversight by exception, which can be fully delegated. Make the tiers visible and auditable
- Set quality thresholds for agent output and automate the check where possible using dedicated agents and evals
- You’re structured by default. You write things down, build systems, and have clear opinions about which processes make teams faster and which only create the feeling of progress. You will retire a process that isn’t working
- You approach each problem with an AI-first mindset. You have a clear view of how agents can replace manual processes, you have tested this at scale before, and you know what works well
- You want to be the person who makes AI-driven change practical, not the person who talks about it
- You’re comfortable without a playbook and honest enough to say early when something isn’t working
- At least two years in product management or product operations, with enough proximity to good PMs that you’ve absorbed the craft
- An AI-native working style. Claude, ChatGPT, Gemini, or equivalent are your default tools. You know how to prompt for structured output, build context documents, and design workflows where AI handles production and you handle judgment
- Hands-on experience building and deploying AI agents professionally, successfully replacing manual processes
- Strong written communication. Precise without being verbose
- Structured thinking under ambiguity: you impose useful structure on messy problems without waiting for someone to scope them first
- Hands-on experience with product tooling: Jira, Linear, Confluence, Notion, Aha!, or similar. Enough to build useful infrastructure, not just use it
- Background in change management or org design: this role rewires how the product function works today, with a mandate that grows with the model
- Nordic or European professional context
- Kindly ensure that your CV is submitted in English
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