Vice President of Product and Engineering

GestureNew York, NY
10d$205,000 - $210,000Onsite

About The Position

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 company’s 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 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
  • 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.
  • 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 platform’s reach and impact.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service