Simulmedia - Product Manager, Product Operations
Requirements
• 4+ years in product management, preferably with a focus on product operations, at a B2B technology company. • A track record of AI agents or automations you built and shipped, with real users and measurable results. Show us something you built, not only something you managed. • Hands-on fluency with large language model tools such as Claude Code, connector-based integrations, or workflow tools like n8n, plus comfort with SQL and APIs. • Process design instincts: you can map a messy workflow, decide what to automate, what to simplify and what to stop doing. • Advanced English, written and spoken: you write clearly and concisely, and present and discuss with confidence in live calls with senior stakeholders in the US and Ukraine. • Experience with advertising technology, TV or media. • Experience designing evaluations or test sets for AI systems. • Familiarity with Salesforce, Shortcut, Notion or PostHog. • Our process includes a walkthrough of something you built, and a short practical exercise automating a real workflow of ours. • You will decide what a product organization looks like when coordination is automated, and then build it. If you have already automated your own job once, we want to talk. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
• Automate product operations. Find the manual, repetitive work in how we plan, track and ship, and replace it with agents and workflows that the teams trust and use. • Build with your own hands. Prototype in Claude Code and our connectors (Salesforce, Slack, Notion, Shortcut, Google Workspace and our internal data tools). Hand work to engineering only when it needs to become a production service. • Run the operating cadence with the product teams. Work with product managers and engineering leads so that operational work is shared and automation closes the gaps, without adding a coordination layer. • Bring it to clients. Take what works internally into AI-first tools for clients and the teams that serve them, with the product team that owns each area. • Teach others to build. Help people in Product, Sales, Finance and Operations automate their own work, and turn what works into reusable skills.
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