PortPro

• Own and execute PortPro’s end-to-end marketing strategy across product marketing, demand generation, content, brand, and field/event marketing. • Lead product marketing: positioning, messaging, launches, sales enablement, competitive intelligence, and customer storytelling for a category-defining product. • Drive demand generation programs (paid, SEO, lifecycle, ABM, partner, and event-led) that produce qualified pipeline and measurable revenue impact. • Partner with Sales to build a tight, accountable feedback loop on ICP, message-market fit, conversion rates, and pipeline velocity. • Translate a technical, AI-enhanced platform into clear, compelling stories for drayage operators including owners, dispatchers, and operations leaders who don’t have time for jargon. • Build, run, and report on a marketing budget with discipline. Know your CAC, payback, pipeline coverage, and source-of-pipeline numbers cold. • Hire and coach a small, high-leverage team over time starting by being hands-on yourself. • Represent PortPro at industry events, on webinars, and in customer conversations. You’ll be a voice of the brand, not just the strategist behind it.

• Work with Production, Engineering, Data Science to plan, design and deliver customer-facing experiences • Be hands-on in shaping product, user experience, and team processes to iterate quickly • Dive deep into the customer problem • Develop expertise in building software that directly influences real-world human behavior

• Architect, develop, and maintain scalable and distributed web scraping systems using Node.js. • Design and implement data extraction pipelines to process large volumes of structured and unstructured data. • Develop solutions to bypass anti-bot mechanisms, including CAPTCHA handling, session management, fingerprinting, and IP rotation. • Optimize scraping processes for performance, reliability, and efficiency while managing proxy services (residential, datacenter, rotating). • Oversee data storage and processing strategies, ensuring high availability and consistency. • Collaborate with Product, DevOps, and Data Science teams to integrate extracted data into analytics and business applications. • Implement best practices for microservices, API integrations, and real-time data streaming. • Lead the transition to cloud-native, containerized, and serverless architectures for web scraping. • Ensure compliance with legal and ethical standards (robots.txt, GDPR, CCPA, etc.). • Optimize cloud resources (AWS, GCP, or Azure) to support high-throughput scraping. • Manage real-time monitoring and alerting systems to detect scraping failures, IP bans, or performance bottlenecks. • Work closely with DevOps teams to optimize CI/CD pipelines, automated deployments, and system scalability. • Lead, mentor, and grow a high-performance engineering team. • Define and execute the technology roadmap, aligning with business objectives. • Foster a culture of continuous learning, collaboration, and innovation. • Implement agile development methodologies (Scrum, Kanban) to optimize project execution. • Ensure code quality, security, and best practices across all engineering efforts.

• Define and execute the company's DevOps roadmap, ensuring alignment with business and engineering goals. • Lead and mentor a team of DevOps engineers, SREs, and automation specialists. • Drive a culture of automation, continuous improvement, and collaboration across development and operations teams. • Design, implement, and manage scalable, secure, and cost-effective cloud infrastructure (AWS, Azure, GCP). • Oversee containerization and orchestration (Docker, Kubernetes, Helm). • Establish infrastructure-as-code (IaC) best practices using tools like Terraform, CloudFormation, or Pulumi. • Develop and maintain CI/CD pipelines to support rapid, reliable software releases (GitHub Actions, Jenkins, GitLab CI, ArgoCD). • Drive automation for deployment, monitoring, and self-healing systems. • Implement observability and logging solutions (ELK, Prometheus, Grafana, Datadog). • Ensure DevSecOps principles are integrated into the software development lifecycle. • Maintain compliance with industry standards (SOC 2, ISO 27001, GDPR etc.).

• Lead and manage a team of software engineers, including offshore teams, to deliver high-quality, scalable, and maintainable code for multiple SaaS products • Collaborate with product and design teams to define, scope, and deliver new features and enhancements • Ensure that development processes are efficient and effective, and that best practices are followed • Identify, prioritize, and resolve technical issues and roadblocks • Mentor and coach team members to improve their skills and advance their careers • Keep abreast of new technologies and industry trends, and identify opportunities to incorporate them into the products • Follow information security policies and practices while safeguarding customer data

• Leverage large and complex datasets to explore, discover, and identify patterns, trends, and insights that can influence strategic business decisions. • Develop, validate, and deploy predictive models and machine learning algorithms to solve business problems. • Write code to automate data processing and aggregation tasks. • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions. • Present findings in a clear and easily understandable way to non-technical stakeholders. • Work closely with both onshore and offshore teams to deliver data-driven projects on time and to specification. • Continuously learn new technologies and stay up-to-date with the latest industry trends in data science.