Vice President of Product and Engineering
About The Position
Develop and execute enterprise-level loyalty programs, subscription gifting models, and AI-driven marketing automation strategies. Lead initiatives to refine machine learning models that drive ultra-personalized recommendations, leveraging behavioral data, sentiment analysis, and predictive analytics to optimize customer engagement, brand promotions, and corporate gifting strategies. Oversee architectural responsibilities, designing and implementing scalable cloud-based APIs and infrastructure to facilitate real-time marketing automation, cross-platform integrations, and multi-industry adoption. Direct strategic API integrations with enterprise partners, e-commerce platforms, CRM systems, and third-party logistics providers to create a seamless, data-driven gifting ecosystem. Design proprietary AI algorithms, automation workflows, and data-driven marketing strategies as well as develop intellectual property to contribute to the company’s patent portfolio. Establish best practices for software security, regulatory compliance (GDPR, CCPA, PCI-DSS), and AI ethics in marketing automation. Mentor and guide senior engineers, setting standards for AI implementation, scalable software design, and API-driven development. Align product development with corporate growth strategies, collaborating with business leaders, marketing teams, and industry partners to expand the platform’s reach and impact.
Requirements
- Must have 2 years of experience in each of the following:
- Managing cloud infrastructure (GCP and AWS) and implementing serverless and dedicated VM architectures.
- Developing in JavaScript, TypeScript, and the following modern web and mobile development frameworks: React.js, React Native, Expo;
- Utilizing database management tools, including the following NoSQL and SQL solutions: Firestore, MongoDB, and PostgreSQL;
- Developing with CI/CD pipelines, software deployment strategies, and automation using GitHub, Expo CI/CD, and GCP Functions;
- Designed and implemented geo-spatial algorithms to optimize real-time delivery routing, dispatch, and location intelligence;
- Developed personalization algorithms and scoring models to drive dynamic product recommendations and user engagement using predictive analytics, and customer engagement modeling;
- Built logistics optimization algorithms for real-time batching, predictive dispatch, and supply-demand balancing stemming from advanced knowledge in operations research, dynamic scheduling, and event-driven systems;
- Engineered behavioral reward algorithms to increase user retention through gamified loyalty and incentive systems using habit-forming product systems such as voucherify or talon-one;
- Proven ability to develop full stack logistics systems, including CRM dashboards, live mapping with Google Maps, location tracing in React Native, and payment infrastructure using Stipe Connected Accounts;
- Driving security and compliance initiatives across cloud platforms using best practices in encryption, data storage, and cyber protection tools;
- Utilizing both internally developed and public CRM systems and data-driven user retention strategies, including Hubspot, Salesforce, and Braze;
- Improving customer engagement metrics by measurable percentages through targeted initiatives;
- Analyzing large-scale data sets and leveraging data insights for business intelligence and decision-making;
- Designing and implementing scalable architectures for handling high-throughput applications;
- Assessing financial models and cost optimization for cloud-based deployments;
- Tracking and measuring key performance indicators (KPIs) for software performance, security, and user engagement;
- Conducting A/B testing and feature flag implementations for iterative software improvements; and
- Utilizing business intelligence platforms, API integration and development technology for data analytics, and the following reporting tools: Zoho Analytics and BigQuery
Responsibilities
- Develop and execute enterprise-level loyalty programs, subscription gifting models, and AI-driven marketing automation strategies.
- Lead initiatives to refine machine learning models that drive ultra-personalized recommendations, leveraging behavioral data, sentiment analysis, and predictive analytics to optimize customer engagement, brand promotions, and corporate gifting strategies.
- Oversee architectural responsibilities, designing and implementing scalable cloud-based APIs and infrastructure to facilitate real-time marketing automation, cross-platform integrations, and multi-industry adoption.
- Direct strategic API integrations with enterprise partners, e-commerce platforms, CRM systems, and third-party logistics providers to create a seamless, data-driven gifting ecosystem.
- Design proprietary AI algorithms, automation workflows, and data-driven marketing strategies as well as develop intellectual property to contribute to the company’s patent portfolio.
- Establish best practices for software security, regulatory compliance (GDPR, CCPA, PCI-DSS), and AI ethics in marketing automation.
- Mentor and guide senior engineers, setting standards for AI implementation, scalable software design, and API-driven development.
- Align product development with corporate growth strategies, collaborating with business leaders, marketing teams, and industry partners to expand the platform’s reach and impact.
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What This Job Offers
Job Type
Full-time
Career Level
Executive
Education Level
No Education Listed
