• Align customer needs with business and market interests • Lead the squad responsible for evolving the Asaas Checkout product • Work closely with Engineering, Design, and Data teams • Remove obstacles and deliver large projects in small, coherent, high-value increments • Make decisions based on data and solid evidence • Collaborate with design, commercial, growth, software engineering, and data engineering teams • Deliver outcomes that generate value • Identify opportunities to drive engagement and conversion • Contribute to the product’s strategic vision • Ensure all company areas are consulted or informed

Role Description Ring is seeking a hands-on, operationally elite leader to serve as Senior Product Manager, Adversarial Efficacy responsible for stress-testing Ring's crime deterrence capability across Virtual Security Guard (VSG), AI-powered proactive security features, and emerging security programs. This leader will design realistic adversary playbooks, running red-team and penetration exercises against live and simulated deployments, and turning what breaks into measurable improvements. This is not a traditional product or engineering role. This is a security operations and adversarial testing role that demands someone who has operated in high-stakes, time-critical environments and who thinks like an attacker. The ideal candidate brings a law enforcement or military background — ideally with a tactical, red-team, or operational testing component — combined with the ability to translate that adversarial mindset into repeatable test protocols, defeat-and-bypass analysis, and quantified deterrence outcomes. You will define what "effective deterrence" means under adversarial pressure and prove it through controlled attack scenarios across Ring's services, including VSG, AI proactive features (person detection, automated deterrence, smart alerts), and new capabilities as they ship. You will partner cross-functionally across Product, Engineering, AI/ML, Operations, and Legal to ensure every feature Ring ships holds up against a motivated adversary — not just against the happy path. - Build and own Ring's adversarial efficacy program: red-teaming, penetration testing, and defeat/bypass analysis against deterrence capabilities across all products and services. - Design realistic adversary playbooks and threat scenarios (forced entry, evasion, spoofing, timing attacks, social engineering of response workflows) and run them against live and simulated deployments. - Define the deterrence-under-attack effectiveness framework: which metrics matter (response time to intervention, deterrence success rate, evasion/defeat rate, escalation accuracy, dispatch outcomes), how they're measured, and what "good" looks like against an adversary. - Establish test facilities and/or field-testing partnerships and create repeatable, controlled test protocols with appropriate coverage and safety controls. - Lead a team operating at the intersection of adversarial security testing, product evaluation, and data-driven optimization. - Set ambitious, measurable goals for deterrence resilience and build mechanisms to inspect performance at daily, weekly, and monthly cadences. - Design real-world test conditions that simulate actual attack scenarios across diverse environments (residential, commercial, urban, rural, day, night, weather conditions). - Translate findings into prioritized, engineering-actionable fixes and verify remediation through retesting. Qualifications - 5+ years of product or program management, product marketing, business development or technology experience - Bachelor's degree or equivalent - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience with feature delivery and tradeoffs of a product - Experience as a product manager or owner - Experience owning technology products - Experience in influencing senior leadership through data driven insights - Experience working across functional teams and senior stakeholders Requirements - Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. - Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. - Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. - Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Benefits - The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. - Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. - Learn more about our benefits at https://amazon.jobs/en/benefits . - USA, CA, Hawthorne - 136,000.00 - 184,100.00 USD annually

• Lead the end-to-end product lifecycle, from ideation to execution, to turn ambiguous problems into end-to-end solutions. • Define, execute, and articulate the product roadmap for AI-powered solutions within the Manufacturing and Distribution price waterfall, ensuring alignment with business objectives and customer needs. • Identify where AI and machine learning can drive measurable pricing outcomes and translate those opportunities into roadmap priorities. • Act as a key liaison between business, technical teams, and external partners to ensure clear communication and alignment. • Develop deep expertise in B2B pricing dynamics across manufacturing and distribution verticals. • Define AI/ML-powered pricing capabilities by partnering with data science teams to translate model outputs into intuitive, customer-facing product experiences. • Track competitive dynamics and emerging capabilities in B2B pricing, revenue management, and applied AI to continuously sharpen the product strategy and roadmap differentiation. • Set qualitative objectives and quantitative goals, define product requirements, and drive execution with the Engineering, PM, and UX design teams. • Define and track key pricing product metrics while collaborating with sales, customer success, and analytics stakeholders to measure impact and guide prioritization. • Serve as the internal and external authority on pricing product strategy, communicating roadmap direction and tradeoffs clearly to cross team members in sales, customers, and partners.

• Product strategy and roadmap for AI-powered website creation and the end-to-end site building experience • Ownership of the full customer journey—from intent capture through AI generation, editing, publishing, and iteration • Integration and ongoing management of AI and third-party vendors powering site generation, design systems, and content • Definition of experience standards for AI-generated sites, including layout quality, content defaults, personalization, and mobile responsiveness • Partnering with engineering and design to translate AI capabilities into simple, guided workflows customers can succeed with immediately • Driving site creation activation and completion, ensuring customers move from start to published site with confidence • Establishing success metrics such as site creation completion rate, time-to-publish, retention, and customer satisfaction • Coordinating dependencies and priorities across Product, Engineering, Design, Legal, and GTM for AI-powered features • Leading launches and improvements that materially increase site creation adoption and long-term retention • Providing clear updates to leadership on roadmap progress, tradeoffs, and outcomes • Acting as a product quality bar-raiser, ensuring AI-generated experiences feel cohesive, on-brand, and production-ready