26 дней назад
Product Operations Lead (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Operations Lead (AI) (SaaS/product operations): Driving product launches, release readiness, KPI tracking, and operational workflows with an accent on AI adoption, cross-functional coordination, and scalable go-to-market processes. Focus on building internal tools and AI-assisted workflows, improving deployment and incident-response processes, and using product performance data to increase adoption and retention.
Location: Israel
Company
is the hiring company for this product operations role.
What you will do
- Drive cross-functional product launch planning, clarify ownership, and coordinate execution timelines.
- Develop scalable launch playbooks with Product Marketing and ensure teams receive product documentation, updates, and release notes.
- Track launch success, product health, adoption, usage, retention, and other key performance indicators.
- Use Claude and connected tools including JIRA, Confluence, Vitally, Gong, and Slack as part of AI-first operational workflows.
- Build lightweight internal tools, scripts, agents, digests, and dashboards to reduce recurring manual work.
- Partner with Product, Engineering, R&D, Support, Marketing, and Customer Success to improve readiness, deployment workflows, maintenance, and incident response.
Requirements
- At least 7 years of experience in Product Operations, Business Development, or Product Lifecycle Management within a SaaS or technology-driven company.
- Experience with product or feature delivery, product launches and releases, value-driven decision-making, and execution strategy.
- Experience with agile and Kanban development, release processes, and change management.
- Hands-on daily use of AI tools in real work, with concrete examples of outcomes.
- Proficiency with JIRA, Confluence, or similar release-tracking tools, plus experience analyzing product performance metrics.
- Strong communication, collaboration, stakeholder management, and ability to contribute to engineering discussions.
Nice to have
- Knowledge of SaaS business models, pricing strategies, and go-to-market execution.
- Familiarity with customer adoption and retention analytics.
- Experience with API-first or developer-focused products.
- Experience building internal tools or automations adopted by other teams.
- Familiarity with LLM-based workflows, prompt and agent design, or MCP connectors.
Culture & Benefits
- AI-first approach to drafting, analysis, synthesis, and operational work.
- Emphasis on human judgment for decisions, escalations, and communications that should not be automated.
- Focus on predictable releases, standardized processes, cross-functional coordination, and reduced manual operational workload.
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