AI Product Operations Lead

New

TypeformAI product operations

For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal or The NetherlandsFull-TimeLead

Salary not disclosed

Apply NowOpens the employer's application page

Job Details

Have strong practical experience applying AI to real-world problems and building solutions people use.
Have a track record of taking ambiguous problems from discovery through implementation, testing, adoption, and ongoing improvement.
Apply systems thinking to people, processes, tools, data flows, integrations, permissions, technical constraints, and solution trade-offs.
Use user and workflow discovery to understand underlying needs and simplify solutions where appropriate.
Be comfortable building, modifying, and troubleshooting internal workflows, automations, agents, or applications.
Have practical experience with modern development practices and tools such as GitHub, repositories, pull requests, basic application hosting, deployment, logging, and operational troubleshooting.
Manage work independently, including prioritizing a backlog, handling dependencies and risks, documenting decisions, and communicating with stakeholders.
Apply evaluation and reliability practices, including defining success, testing, collecting feedback, and improving systems after launch.
Work effectively across technical and non-technical teams, seek expert input, challenge assumptions, and make progress without close day-to-day direction.
Use sound judgment around responsible AI, security, access, and governance, and know when to involve relevant partners.

Build and continuously improve the backlog of AI opportunities across R&D, helping teams identify, prioritize, and sequence high-value work.
Take ambiguous problems from discovery through delivery, including understanding workflows, exploring options, designing solutions, coordinating implementation, testing, documenting, launching, measuring, and improving.
Design AI-native solutions, choosing among prompts, workflows, integrations, agents, databases, and custom applications.
Help R&D get more value from enterprise AI tools such as Glean and Claude, partnering with IT and InfoSec on access, configuration, connectors, enablement, and support.
Own the lifecycle of portfolio AI systems, including automations, skills, agents, and internal web applications.
Establish practical approaches to evaluation, testing, reliability, observability, security, and maintenance.
Partner with R&D teams to uncover needs, unblock delivery, clarify ownership, and engage relevant experts.
Help run and evolve R&D AI governance and enablement practices, improving visibility into active work, risks, adoption, and outcomes.
Work with Finance and other partners to improve visibility into AI tool usage, spend, and value.
Explore and support autonomous agents that improve work across the product development lifecycle.

View Full Description & ApplyYou'll be redirected to the employer's site