Brandlight

AI Engineer

• Translate business and product needs into well-defined problems, research plans, and technical designs
• Own AI capabilities end to end, from initial exploration through production deployment and ongoing improvement
• Develop and improve core algorithms
• Build production-grade AI agents for performance marketing, market research, and auto-ML
• Turn research into maintainable software, including reusable modules, data pipelines, and services with clear interfaces
• Implement automated tests and robust deployment practices
• Monitor system behavior and investigate failure cases in production
• Continuously improve accuracy, reliability, latency, and cost as usage and data volumes grow
• Choose appropriate approaches across statistical methods, classical machine learning, and LLM-based systems
• Balance research depth, delivery speed, and operational complexity
• Partner with product and engineering to shape priorities and lead technical initiatives
• Review designs and code
• Mentor teammates

Senior Applied AI Engineer

Performance Marketing

• Own ABM strategy for Brandlight’s priority enterprise accounts, including account selection, segmentation, tiering, and prioritization
• Design and execute 1:1, 1-to-many, and scalable account-based programs
• Map buying groups across executives, champions, users, influencers, and decision-makers
• Build multi-threaded engagement strategies
• Partner with Sales on joint account plans, engagement strategies, next-best actions, and coordinated plays
• Use intent signals, engagement, company initiatives, leadership changes, and other triggers to determine account activation
• Develop account-specific messaging, offers, and campaign concepts with Product Marketing and Content
• Partner with Growth Marketing and Field Marketing across paid, digital, events, executive programs, and other channels
• Work with GTM Engineering to turn account intelligence and signals into scalable workflows, alerts, and personalized actions
• Measure performance from target accounts through buying-group engagement, qualified meetings, opportunities, and pipeline
• Continuously test plays, messaging, offers, signals, and personalization
• Use AI to improve research, campaign development, analysis, and execution

Demand Generation – ABM Lead

Marketing

• Own and optimize ChatGPT Ads accounts with a 7-figure budget
• Work directly with marketing teams at leading Fortune 500 and global brands
• Develop and test new performance marketing tactics for the emerging chat-based advertising channel
• Develop, design, and test novel marketing tactics for chat-based marketing channels
• Utilize Brandlight’s proprietary technology to build high-potential accounts
• Monitor campaign performance, budgets, bids, and ROI daily
• Analyze data and identify opportunities to improve campaign efficiency and scale results
• Run A/B tests on context hints, ads, landing pages, and bidding strategies
• Prepare performance reports and communicate key insights and recommendations
• Collaborate with creative, marketing, and analytics teams to achieve business goals
• Stay current with search advertising trends, platform updates, and industry best practices
• Use agentic tools for cutting-edge analysis, provide feedback, and guide strategy

Senior Media Buyer, ChatGPT Ads

Data Analyst

• Analyze marketing performance on behalf of clients and own attribution and marketing effectiveness analyses
• Turn marketing measurement into client decisions
• Understand how customers use the Brandlight product
• Guide product decisions through evidence and build a reliable foundation for product measurement
• Analyze how people use AI chats using intent taxonomies, behavioral segments, and related models
• Produce robust, representative insights from panel and conversational data
• Own analytical projects end to end, from defining the question and preparing data to developing analytical models, validating findings, and influencing decisions
• Own analytical quality and communication

Senior Data Analyst

Full-stack Engineer

• Own complete product modules from concept to production
• Build and own production data pipelines
• Design scalable data models and APIs
• Build fast, polished, data-intensive interfaces
• Drive performance across the entire stack
• Ensure data quality and reliability
• Create reusable product foundations
• Own production reliability and safe delivery
• Lead through hands-on execution
• Partner with product and design to shape solutions and make technical decisions
• Build across the data and application stack, including data ingestion, ETL pipelines, backend services, interfaces, and visualizations
• Own how data is collected, transformed, stored, and served for datasets with billions of records

Senior Applied AI Engineer

Demand Generation – ABM Lead

Senior Media Buyer, ChatGPT Ads

Senior Data Analyst

Senior Full Stack Engineer