VP of Product and Engineering
Job Description:
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 companys patent portfolio. Establish best practices for software security regulatory compliance (GDPR CCPA PCI-DSS) and AI ethics in marketing automation. Drive the development of advanced algorithms across geo-spatial logistics personalization optimization and behavior reward to power real-time delivery intelligent user experiences and high-retention engagement systems at scale. 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 platforms reach and impact.
Minimum 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 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
- Position is onsite reports to the New York NY (NYC) office M-F.
- Experience may be but need not be acquired concurrently.
Office Worksite: 1412 Broadway Floor 22 New York NY 10018 (New York County)
Education: Bachelors degree in computer science engineering linguistics
Subordinates: Yes 6 (1) Software Development and Quality Assurance Intern (2) Senior Backend Engineer and (3) Software Engineer
How to apply: Please submit your cover letter and resume to recruit @
Base Compensation: $205000-$210000
Required Experience:
Exec
VP of Product and EngineeringJob Description: 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 s...
VP of Product and Engineering
Job Description:
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 companys patent portfolio. Establish best practices for software security regulatory compliance (GDPR CCPA PCI-DSS) and AI ethics in marketing automation. Drive the development of advanced algorithms across geo-spatial logistics personalization optimization and behavior reward to power real-time delivery intelligent user experiences and high-retention engagement systems at scale. 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 platforms reach and impact.
Minimum 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 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
- Position is onsite reports to the New York NY (NYC) office M-F.
- Experience may be but need not be acquired concurrently.
Office Worksite: 1412 Broadway Floor 22 New York NY 10018 (New York County)
Education: Bachelors degree in computer science engineering linguistics
Subordinates: Yes 6 (1) Software Development and Quality Assurance Intern (2) Senior Backend Engineer and (3) Software Engineer
How to apply: Please submit your cover letter and resume to recruit @
Base Compensation: $205000-$210000
Required Experience:
Exec
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