AI Product Manager

aiOla is redefining the role of speech in the enterprise. Our patented AI-driven voice technology empowers organizations to capture, structure, and act on spoken data—turning any workflow, form, or process into a voice-activated experience. With our groundbreaking ASR model, Jargonic, and a powerful speech-to-any-workflow platform, aiOla is the go-to solution for enterprises looking to work at the speed of voice.

At aiOla, we are proud to have a talented team of professionals across Israel and the US, spanning Product, Data Science, Data Engineering, Analytics, Marketing, and Customer Success. Our culture thrives on collaboration, innovation, and a shared ambition to excel. We are looking for visionary thinkers and innovative creators passionate about pushing the boundaries of AI and making a tangible impact in everything we do.

Requirements:

• 4–6 years of product management experience, ideally in B2B SaaS with a focus on AI, developer platforms, or productivity tools.
• Experience building products that leverage LLMs, and utilize advanced AI capabilities to deliver impact for customers
• Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Customer and business-oriented approach, ensuring the product delivers value to all users and stakeholders.
• Proficiency in defining, prioritizing, and managing the product roadmap based on business goals and customer needs.
• Ability to balance user needs with technical feasibility and business objectives.
• Proven ability to prioritize, ship, and iterate quickly in an Agile, high-velocity environment.
• A user- and outcome-focused mindset with a track record of translating technical potential into real business value.
• Excellent English communication skills.
  
  

• Maintain end-to-end ownership of the product roadmap and development cycle, including ideation, customer validation, and collaboration with R&D. This encompasses writing specifications, designing UI, optimizing UX to achieve business goals, and overseeing product launches and monitoring.
• Partner with Data Scientists and ML teams to build products that use Conversational AI to power intelligent voice interfaces, automate complex workflows, and deliver natural, human-like interactions in real-world enterprise environments
• Adopt a customer-centric approach by translating requirements into actionable product development tasks. Prioritize efforts by balancing feature requests, reported issues, customer feedback, strategic initiatives, and business constraints.
• Collaborate with customers and internal stakeholders to identify high-impact opportunities for voice automation and AI-powered process optimization.
• Prioritize product decisions based on strategic goals, data, Market research, and user feedback.