HighLevel is seeking a Staff Product Manager to lead initiatives within their Voice AI product vertical. This is a full-time, remote position based in India. Role Purpose: The Staff Product Manager will be responsible for driving the product strategy, development, and execution of voice-based AI solutions. Responsibilities: You will define the product roadmap, collaborate with cross-functional engineering and design teams to build scalable AI features, and ensure the product meets the needs of the company's user base. You will manage the product lifecycle from concept to launch, focusing on delivering high-impact voice AI capabilities. Qualifications: The ideal candidate should have significant experience in product management, specifically within the AI or voice technology space. Strong leadership skills and the ability to work effectively in a remote, fast-paced environment are essential. Benefits and Logistics: This is a full-time role. Applicants are required to provide their current and expected salary, as well as their official notice period, as part of the application process.
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Skills for this role
Product ManagementVoice AIArtificial Intelligence
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A focused preparation guide, built around this job’s responsibilities and requirements.
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Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01
Understand the role
What matters most
Voice AI Product Strategy and Roadmap
The core responsibility is defining the strategic direction for voice-based AI solutions. You must demonstrate the ability to translate high-level business goals into a structured product roadmap that prioritizes high-impact features while managing the full product lifecycle from concept to launch.
Cross-Functional Leadership and Collaboration
Success in this role requires leading engineering and design teams to build scalable AI features. You must be prepared to articulate how you align technical development with user needs and maintain product quality in a fast-paced, remote environment.
Likely challenges to think through
Balancing AI Innovation with Scalability
Voice AI technology often faces challenges regarding latency, accuracy, and infrastructure costs. Prepare to discuss how you evaluate the trade-offs between implementing cutting-edge AI capabilities and ensuring the underlying architecture remains scalable and reliable for a large user base.
Remote Leadership in a Fast-Paced Environment
Operating as a Staff Product Manager in a remote, high-growth setting requires exceptional asynchronous communication and stakeholder management. Prepare to provide examples of how you maintain team alignment, drive consensus, and keep projects on track without the benefit of physical proximity.
03
Practice your answers
Technical practice
Voice AI Product Lifecycle Management
What to coverExplain your approach to managing a voice-based AI product from initial concept to full-scale launch. Focus on how you balance technical feasibility with user needs and how you iterate based on performance metrics.
Defining Voice AI Roadmaps
What to coverDescribe your methodology for prioritizing features in a voice AI roadmap. Discuss how you weigh market trends, technical debt, and user feedback to ensure the product remains competitive.
Scalability in AI Features
What to coverWhen collaborating with engineering teams to build scalable AI features, what architectural or process considerations do you prioritize? Address how you ensure performance remains consistent as the user base grows.
Voice Technology Evaluation
What to coverWhat key performance indicators (KPIs) do you use to evaluate the success of voice AI solutions? Suggestion: Prepare to discuss metrics like latency, intent recognition accuracy, and user retention specific to voice interfaces.
Behavioural practice
Leading Cross-Functional Teams Remotely
What to coverDescribe a situation where you had to lead a cross-functional team in a remote environment to deliver a complex product feature. Highlight how you maintained alignment and communication across engineering and design stakeholders.
Navigating Fast-Paced Environments
What to coverProvide an example of a time you had to pivot your product strategy quickly due to changing market conditions or technical constraints. Explain your decision-making process and how you communicated this change to your team.
Managing Stakeholder Expectations
What to coverTell me about a time you had to manage conflicting priorities from different stakeholders regarding a product roadmap. How did you negotiate a path forward that satisfied the business goals while maintaining team morale?
Problem Solving in AI Development
What to coverShare an example of a significant technical or product challenge you encountered during an AI project. Detail the actions you took to identify the root cause and the final result of your intervention.
02
Sharpen your knowledge
Topics to prepare
Voice AI Product Lifecycle Management
Review the end-to-end lifecycle of voice-based AI products, from initial concept to post-launch iteration. Exercise: Map out a hypothetical roadmap for a new voice feature, identifying key milestones for discovery, technical feasibility, and user feedback loops to demonstrate your strategic planning capabilities.
Scalable AI Feature Strategy
Focus on the conceptual requirements for scaling AI features within a product ecosystem. Exercise: Analyze how to balance technical performance with user experience in voice interfaces, specifically preparing to discuss how you would prioritize features that provide high-impact value to a broad user base.
Skills to revise
Cross-functional Leadership
Practice articulating how you lead engineering and design teams in a remote, fast-paced environment. Exercise: Prepare a case study detailing a past project where you aligned cross-functional teams on a complex technical goal, emphasizing your communication style and conflict resolution methods.
Voice Technology Product Execution
Demonstrate hands-on experience with voice-specific AI challenges. Exercise: Draft a brief technical brief or PRD section for a voice-AI capability, focusing on defining clear success metrics and addressing potential latency or accuracy issues inherent in voice technology.
04
Your preparation checklist
Develop a Voice AI Product Case Study
Prepare a structured walkthrough of a voice-based AI feature you previously managed. Focus on the product lifecycle from initial concept to launch, highlighting how you addressed technical scalability and user needs.
Map Your Experience to AI Product Strategy
Create a summary document that explicitly connects your past product management experience to the specific challenges of voice technology, such as latency, natural language processing integration, or user interface design for audio.
Prepare Remote Leadership Examples
Draft specific scenarios demonstrating your ability to lead cross-functional engineering and design teams in a fully remote environment, emphasizing your methods for maintaining alignment and velocity.
Formulate Strategic Questions for the Hiring Team
Prepare questions regarding HighLevel's current voice AI roadmap, the specific user segments they are targeting, and how they measure the success of their AI-driven features.
Organize Application Logistics
Ensure you have your current and expected salary figures and your official notice period clearly documented, as these are mandatory fields required for the application submission process.
Availability last checked: 18 Oct 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy
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