Clari + Salesloft is building the next era of enterprise revenue with a focus on AI and real signals. The Staff Product Manager will play a crucial role in driving AI product initiatives and collaborating with various teams to enhance product strategy and execution.
Responsibilities:
- Owning and driving AI product initiatives e2e from ideation to launch to retention
- Engage with customers to understand their needs and translate them into compelling solutions
- Identify new product opportunities and anticipate potential risks and blockers
- Collaborate with leaders of other functions to refine product strategy and execute process improvements
- Build alignment and drive decision-making across company-wide initiatives
- Build impactful relationships and driving collaborative initiatives across functional teams, effectively influencing stakeholders at all levels
- Contribute to technical trade-offs, design clean product interfaces and abstractions, and build systems to scale customer, competitor, and market understanding throughout the organization
- Work closely with Engineering to drive an efficient R&D process, from leading scrums to coordinating product releases
- Collaborate with Customer Success and Go-to-Market teams to ensure that we maximize the product's impact on both customers and our business
Requirements:
- 8+ years of Product Management experience
- Strong AI experience - agents, context, memory, agent frameworks, agent platforms
- Ability to market and explain complex AI solutions in an impactful and easy manner to our customers and non-technical audiences
- Experience managing complex stakeholder relationships, including engaging with users, customers, partners, and industry analysts
- In-depth understanding of data integration and API complexities, data flow across diverse ecosystems, data connectors, and the modern data stack
- Outstanding presentation skills with the ability to communicate business and technical topics and adjust to diverse audiences
- Experience with CRM systems and the surrounding ecosystem integrations is preferred