ConsumerAffairs

AI Engineer

• Monitor and maintain the organization’s infrastructure, including servers, networks, storage systems, and applications.
• Perform routine system checks and preventive maintenance to ensure optimal performance and uptime.
• Respond to system alerts and incidents, diagnosing and resolving issues promptly to minimize downtime.
• Provide technical support to resolve infrastructure-related issues, working closely with other technical teams.
• Troubleshoot and resolve hardware, software, and network issues, escalating to higher-level support when necessary.
• Maintain detailed documentation of issues, solutions, and processes to improve the team’s knowledge base.
• Plan and execute system upgrades, patches, and configuration changes, ensuring minimal disruption to business operations.
• Test and validate updates in development environments before deploying them to production.
• Ensure that all systems comply with security standards and best practices.
• Identify opportunities to automate routine tasks and processes, improving operational efficiency and reducing manual workload.
• Implement scripts, automation tools, and AI skills to streamline system management and monitoring.
• Continuously evaluate and optimize infrastructure performance, capacity, and resource utilization.
• Support the development and execution of disaster recovery plans to ensure business continuity in case of system failures.
• Manage backup and restore processes for critical systems and data, ensuring data integrity and availability.
• Participate in regular disaster recovery testing and drills.
• Plan and execute decommissioning of legacy infrastructure, coordinating Terraform state cleanup and DNS cutover.
• Work closely with development, network, and security teams to ensure alignment and effective communication on infrastructure projects.
• Provide input on infrastructure design and architecture to support new projects and initiatives.
• Communicate effectively with non-technical stakeholders, providing updates on system status and issues.

Tech Ops Engineer

Artificial Intelligence

• Build systems to continuously identify acquisition, partnership, and investment opportunities, utilizing AI tools.
• Monitor emerging startups, competitors, funding activity, hiring trends, and market signals.
• Build relationships with founders, investment firms, investment bankers, and brokers.
• Evaluate acquisition opportunities through financial, operational, technological, and strategic lenses.
• Develop investment theses supported by internal operations and market intelligence.
• Build financial models, valuation analyses, and scenario planning.
• Present recommendations to executive leadership.
• Lead comprehensive commercial, financial, legal, product, technology, and operational diligence.
• Use AI agents and automation to synthesize large volumes of information into actionable insights.
• Identify customer, revenue, technical, cybersecurity, and organizational risks.
• Coordinate cross-functional diligence across Product, Engineering, Finance, Legal, Security, HR, and Operations.
• Manage transactions from initial outreach through closing.
• Coordinate internal and external stakeholders including legal, accounting, tax, and consulting partners.
• Support negotiations, LOIs, purchase agreements, and transaction structures.
• Drive project management across multiple stakeholders and workstreams.
• Partner with business leaders to develop post-acquisition integration plans.
• Identify operational synergies and AI automation opportunities.
• Measure acquisition performance against strategic objectives.
• Ensure successful Day One execution and long-term value realization.

Director, Corporate Development

Full-stack Engineer

• Build and Maintain: Design, build, test, and maintain back-end systems and APIs to ensure scalability, reliability, and performance.
• Collaborate: Work closely with engineers, product managers, and designers to implement features and ensure seamless integration across the stack.
• Write High-Quality Code: Deliver clean, efficient, and well-documented code that aligns with best practices and coding standards.
• Database Management: Design and optimize database schemas, queries, and data storage solutions to support application performance.
• Debug and Troubleshoot: Identify and resolve back-end issues promptly to maintain system reliability.
• Code Reviews: Participate in peer code reviews, providing constructive feedback to ensure code quality and maintainability.
• Improve the development system: Encode standards and patterns into reusable AI context. Build verification hooks that catch quality issues before human review.

Tech Ops Engineer

Director, Corporate Development

AI-First Software Engineer