Product Operations
Posted 10 Sep 2026
Advertised as “Product Operations Lead”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
Compensation
No salary listed for this role.
Role speciality
AI AdoptionProduct LaunchesProduct Lifecycle ManagementProduct Operations
Useful technologies
ClaudeConfluenceGongJiraMCPSlackVitally
About the Role
We are seeking a Product Operations Lead to play a key role in product launches, planning processes, AI adoption and operational efficiency. This role will ensure product availability, process optimization, and KPI tracking, working cross-functionally with Product, Engineering, Marketing, and Customer Success teams. The ideal candidate will drive seamless product delivery, scale best practices, and enhance the product management lifecycle.
Key Responsibilities
Product Launch & Go-to-Market Readiness
- Drive cross-functional product launch planning, ensuring clear responsibilities and execution timelines.
- Develop together with Product Marketing scalable launch playbooks to standardize and optimize the GTM process.
- Track and measure launch success through key metrics such as adoption, usage, and retention.
- Ensure internal teams are enabled with product documentation, updates, release notes and other enablement principles
- Partner with Customer Success to optimize post-launch support and user experience.
- Monitor product readiness and ensure alignment between Product, R&D, Support and GTM teams. AI & Builder Approach- Work AI-first - use Claude and the connected stack (JIRA, Confluence, Vitally, Gong, Slack) as the default method for drafting, analysis, and synthesis, not an occasional shortcut.
- Build the tooling you need. Ship lightweight internal tools - scripts, agents, digests, dashboards - that remove recurring manual work in release and launch operations, without waiting for an engineering roadmap slot.
- Contribute to Product Brain, our internal AI knowledge layer, and design operational workflows that pull context from connected systems rather than reassembling it by hand each cycle.
- Own AI adoption within Product Operations - find the manual work a system should be doing, prototype the replacement, and prove it works before asking anyone to adopt it.
- Apply judgment on where automation belongs. Know which decisions, escalations, and communications need a human, and keep those human.
KPI Tracking & Operational Excellence
- Define and track key performance indicators (KPIs) to measure release and launch effectiveness.