Lead Product Manager
New
E
EverProAI Voice SaaS
Must be eligible to work without sponsorship in the United States or CanadaFull-TimeLead
Salary170,000 - 200,000 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- Artificial IntelligenceProduct ManagementRESTful APIsSaaS
Requirements
- 10+ years of product management experience, including ownership of complex SaaS products or platforms.
- Proven experience leading product strategy and execution in cross-functional environments.
- Strong customer discovery skills with the ability to turn insights into actionable product decisions.
- Demonstrated experience partnering with engineering teams on technical product areas like APIs, integrations, and data workflows.
- Strong analytical and prioritization skills with the ability to use data to guide investment decisions.
- Commercial understanding of how product decisions impact packaging, retention, and revenue growth.
- Excellent communication and stakeholder management abilities.
- Ability to operate effectively in ambiguous or rapidly evolving environments.
- Understanding of SaaS product development lifecycle.
- Experience with AI, voice technology, or conversational products is strongly preferred.
- Ability to work remotely and collaboratively across distributed teams.
Responsibilities
- Own the product vision, strategy, roadmap, prioritization, and execution for an AI-powered voice and receptionist product.
- Define the broader voice product strategy to embed AI capabilities into customer communication and revenue workflows.
- Partner with engineering, design, and platform teams to deliver scalable voice and AI experiences.
- Lead product discovery through research, competitive analysis, and usage data.
- Translate customer needs into product requirements, roadmaps, and measurable success criteria.
- Prioritize investments across product enhancements, integrations, and platform capabilities.
- Collaborate with engineering on technical capabilities including call handling, conversational flows, and APIs.
- Support commercialization through packaging, pricing, and sales enablement strategies.
- Establish and monitor KPIs regarding adoption, retention, and revenue impact.
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