Product Manager at Q - CTRL focusing on product development to advance quantum technology for practical applications. Collaborate with cross - functional teams in a dynamic environment.
About the role
- Product Manager on the Fraud team at Plaid designing systems to prevent fraud across their financial network. Responsible for understanding user needs and launching impactful solutions.
Responsibilities
- Take ownership of a defined product surface area. Understand customer needs, write clear requirements, and drive execution with cross-functional partners.
- Contribute to the fraud product roadmap. Identify opportunities to improve detection accuracy, reduce false positives, and enhance customer trust using data and feedback.
- Build with excellence. Partner closely with Engineering and Data Science to design scalable, high-quality systems that balance user experience, performance, and fraud prevention efficacy.
- Measure and iterate. Define success metrics, analyze performance, and refine products to improve accuracy and reliability.
- Communicate with clarity. Align stakeholders, document tradeoffs, and ensure shared understanding across teams.
- Operate with a founder mindset. Take initiative, simplify complex problems, and move quickly even when the path is unclear.
- Learn fast and stay humble. Embrace feedback, seek mentorship, and help raise the bar for Plaid’s products and culture.
Requirements
- 1–4 years of experience in a product-related role (for example Product Manager, APM, startup operator, founder, or product analyst)
- Proven track record of building or launching products end to end
- Strong analytical and product thinking, with the ability to identify customer needs and translate them into clear hypotheses and features
- Experience collaborating with Engineering and Design to to deliver value quickly
- Excellent written and verbal communication skills; able to explain complex ideas simply and effectively
- Comfortable operating in fast-moving, ambiguous environments
- Passionate about technology, data, and building products that protect consumers and businesses from fraud
- Familiarity using AI tools in day-to-day product work, such as prototyping, research, or analysis
- [Nice to Have] Experience in fraud, risk, identity, or security products
- [Nice to Have] Familiarity with ML-driven systems or risk modeling
Benefits
- medical
- dental
- vision
- 401(k)
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