Top Tech Jobs & Startup Jobs

Owns the vision, roadmap, backlog, and delivery of technical products. Translates stakeholder and business requirements into technical specifications, user stories, and prioritized backlog items. Collaborates with engineering and Scrum teams throughout design, development, testing, and iteration. Facilitates Scrum ceremonies, validates scope, tracks progress, communicates trade-offs, and gathers user feedback. Supports process improvement, customer journey mapping, documentation, change management, and training while ensuring alignment between business objectives and technical solutions.

Designs and leads scalable digital architectures using microservices, GraphQL, cloud-native technologies, APIs, and AI integrations. Provides technical oversight to agile engineering teams, guides Architecture Review Board governance, and partners with product, design, and application teams. Oversees third-party and enterprise integrations while promoting DevOps, SRE, and CI/CD practices. Identifies security, privacy, regulatory, and performance risks and ensures architectural compliance with industry standards.

Leads CRM-enabled business transformation across Commercial teams by aligning stakeholders, designing future-state processes and operating models, developing business cases and KPIs, and operationalizing CRM enhancements. Partners with Product, Innovation, Data & Analytics, and Training teams to drive readiness, adoption, governance, measurement, and continuous improvement. Ensures CRM capabilities become embedded in daily business routines and deliver measurable improvements in process consistency, data quality, adoption, and commercial outcomes.

Design, develop, test, and deploy secure, scalable full-stack applications using Java, .NET, Node.js, React, and cloud-native Azure services. Architect APIs, microservices, serverless functions, enterprise integrations, reusable frontend components, CI/CD pipelines, and infrastructure as code. Mentor engineers, lead code reviews, enforce security and performance standards, collaborate with architects and product owners, and modernize legacy applications through re-platforming and digital transformation initiatives.

Leads enterprise application delivery, modernization, integration, support, compliance, and governance across finance, CRM, loyalty, and payment platforms. Manages IT teams, vendors, budgets, concurrent programs, upgrades, and deployments while partnering with business and architecture stakeholders. Ensures platform reliability, interoperability, security, regulatory compliance, KPI and SLA performance, and alignment with strategic technology priorities.

Performs aircraft inspections, repairs, overhauls, upgrades, cleaning, servicing, and routine maintenance in compliance with FAA regulations, manufacturer recommendations, and company procedures. Reads technical data and parts catalogs, completes work-order documentation, removes and installs aircraft panels, conducts operational checks, and provides nitrogen and oxygen servicing. Works around aircraft, engines, propellers, fumes, noise, and varying weather conditions while maintaining detailed safety and maintenance records.

Leads the data science roadmap and manages Data Scientists and Analysts while remaining hands-on. Designs data pipelines, ETL/ELT processes, analytical datasets, machine learning models, predictive analytics, optimization, and AI solutions. Partners with executives and cross-functional teams to translate business needs into scalable solutions, establish success metrics, improve data governance, and deliver measurable operational and financial value. Coaches team members, develops organizational capabilities, and communicates analytical outcomes to technical and non-technical stakeholders.

Lead the architecture, implementation, and operation of secure, scalable cloud infrastructure for AI platforms, including LLMs, vector databases, model inference, agentic systems, and predictive analytics. Build MLOps pipelines, Infrastructure-as-Code environments, monitoring and observability capabilities, and edge computing infrastructure. Optimize reliability, performance, governance, security, compliance, and costs while integrating AI platforms with enterprise systems and supporting operational use cases.

Leads the architecture and implementation of production-grade agentic AI systems for automation, forecasting, dynamic pricing, operational optimization, and enterprise data enrichment. Builds LLM applications using RAG, agent frameworks, and orchestration platforms; integrates AI with operational systems; establishes engineering, governance, monitoring, and security standards; and provides technical leadership and mentorship across AI engineering teams.

Owns marketing performance reporting, KPI frameworks, attribution, funnel measurement, and dashboard development across digital channels. Builds and integrates web, CRM, sales, and customer datasets using SQL, Databricks, BigQuery, and visualization tools. Analyzes user behavior, campaign performance, conversion, retention, and revenue influence to recommend personalization and optimization strategies. Partners cross-functionally with Marketing, Sales, IT, Finance, and Data teams while ensuring data quality, privacy compliance, and consistent tracking taxonomies.