Product Manager
Company Description ConverzAI's Virtual Recruiter is an agentic and Voice AI platform for staffing industry to transform the recruiting and hiring process to place more candidates, faster without growing recruiter headcount. The company focuses on conversations first, using this principle to design AI that delivers engaging, human-like, and transparent interactions capable of sustaining meaningful long-form dialogues. ConverzAI’s technology helps organizations scale human engagement while providing strategic insights that refine recruiting strategies and improve hiring outcomes for candidates. More information is available at https://www.converzai.com.
Role Description As a Product Manager at ConverzAI, you will own the product lifecycle for our AIpowered Virtual Recruiter platform, from discovery and prioritization through delivery, launch, and continuous improvement. You will work closely with customers, engineering, design, and business stakeholders to define product strategy, translate customer problems into scalable solutions, and ensure successful execution. This role requires a balance of strategic thinking, technical aptitude, and execution excellence. You will analyze customer feedback and product data, define product requirements, prioritize backlogs, coordinate releases, and measure product outcomes. Success in
this role requires curiosity, strong analytical skills, excellent communication, and the ability to thrive in a fast-paced startup environment.
Key Responsibilities
- Partner with Product and Engineering leaders to define product vision, strategy, and requirements, translating insights into PRDs, user stories, and clear acceptance criteria
- Own end-to-end product funnel design, optimization, and performance across the customer and candidate lifecycle, including acquisition, engagement, conversion, retention, and operational efficiency
- Define, measure, and continuously improve key funnel conversion metrics to drive stronger product adoption, user engagement, candidate experience, and customer outcomes
- Identify customer and candidate problems through research, usage data, funnel analysis, stakeholder feedback, and direct customer interactions
- Identify bottlenecks through data analysis, user research, root cause analysis, and experimentation, then prioritize improvements with measurable business impact
- Drive a data-informed experimentation culture by defining hypotheses, evaluating results, learning from outcomes, and iterating rapidly
- Own the product roadmap, priorities, and feature planning aligned with company strategy and customer needs.
- Ensure operational and go-to-market readiness for product and feature launches, including documentation, internal enablement, and cross-team coordination
- Leverage data, customer feedback, candidate signals, and product performance metrics to measure outcomes, reduce product and operational debt, and drive continuous improvement.
- Act as a central connector across product, engineering, design, customer success, sales, and business teams to maintain alignment and accelerate decision-making.
Qualifications
- Bachelor’s degree in computer science, Electronics & Communications
- Engineering, or a related field preferred; MBA is a plus.
- 3 to 5 years of experience in product management for software or SaaS products
- Prior experience in a startup or high-growth, product-led organization is strongly preferred
- Prod Managers who have worked on AI features, and understand the ins/outs of developing AI products, writing evals, understanding model selection, etc.
- Prod Analytics/ Analytics, Funnel Improvements, Customer/ Candidate Experience
Must Have Skills and Attributes
- Strong customer empathy and the ability to balance customer needs with business priorities.
- Strong problem-solving skills with a bias toward action and comfort operating in ambiguity
- Strong analytical skills, including comfort with product metrics, experimentation, and data-driven decision-making
- Demonstrated ownership of products from discovery through launch and continuous iteration
- Technical aptitude with the ability to collaborate effectively with engineering teams, understand software development lifecycles, APIs, and technical tradeoffs.
- Strong written and verbal communication skills, with the ability to influence across functions
- Hands-on experience with Agile project and collaboration tools such as Azure DevOps, Jira, or similar platform