LEADtech

• You will be instrumental in building a multiplatform AI-powered document system serving hundreds of thousands of users every month. • Build and maintain the core multiplatform document system. You’ll own features end-to-end, from idea to production, React frontends, Node.js/Express backends, and PostgreSQL. • Ship to learn. Proactively instrument features, measure impact, seek user feedback, and iterate or kill based on what you discover. You treat metrics as a compass, not a report card. • Design and orchestrate agentic AI workflows using modern frameworks (LangGraph, Claude Agent SDK, MCP protocols) and integrate LLMs into product features via prompt chains, tool calling, and function execution. • Collaborate with engineers, designers, and leadership to shape the product roadmap. You’ll have a real voice in what gets built and why. • Build, maintain, and extend automation pipelines and connect them with AI agents, external APIs, webhooks, and cloud services on GCP.

• Build and maintain attribution and tracking systems across web and app environments. • Work with tools like GA4, Appsflyer, Adjust, and server-side/custom setups. • Handle event deduplication, postback routing, conversion events, and parameter consistency. • Define, maintain, and enforce tracking schemas across projects. • Ensure tracking is reliable and usable. • Develop and extend features within our internal CRM and marketing tooling. • Build internal UIs and workflows that help marketing teams operate more autonomously. • Improve existing tools instead of rebuilding everything from scratch. • Pipeline campaign and attribution data into warehouses such as BigQuery. • Ensure data quality and availability for analysis. • Build and manage server-to-server integrations with ad networks. • Automate testing and monitoring of attribution and tracking flows.

• Lead advanced analysis of web marketing campaigns across regions, channels, and traffic sources, delivering clear insights on performance metrics such as CTR, CPC, CPA, CVR, ROAS, and LTV • Develop and maintain a scalable web measurement framework, ensuring accurate tracking and attribution • Configure and validate conversion tracking for advertising platforms (Google Ads, Meta, TikTok, etc.) • Analyze multi-channel user journeys and apply attribution models (First Click, Last Click, Time Decay, Data-Driven) • Identify growth opportunities by uncovering non-obvious correlations between marketing metrics, behavioral data, and regional performance • Collaborate closely with Marketing to influence media budget allocation and campaign strategy • Design and execute A/B tests to improve conversion rates and marketing efficiency • Ensure data accuracy, consistency, and integrity across all marketing tools and reporting systems • Evaluating web performance by campaigns, regions, countries, devices, and traffic sources • Setting up and maintaining tracking plans, events, goals, and funnels • Managing tags, triggers, and variables in GTM (client-side and server-side when required) • Supporting technical integrations between websites and advertising platforms (pixels, server-side events, conversion APIs) • Conducting behavioral analysis (user flows, drop-off points, micro-conversions) • Analyzing the impact of creatives, landing pages, and traffic quality on conversion performance • Supporting Marketing in campaign planning with data-driven recommendations • Automating reporting processes and improving MarTech stack efficiency

• Design, develop, and optimize data infrastructure on Databricks • Architect pipelines using BigQuery, Google Cloud Storage, and Apache Airflow • Support the development and maintenance of data platform on GCP • Build, maintain, and improve ETL/ELT pipelines under guidance • Help implement and maintain data quality checks • Partner with Analytics, Product, and Data Science teams for reliable datasets for analytics and reporting

• Building and scaling platforms and products • Working across the A.I technology stack to deliver a seamless user experience • Joining projects with a shipping fast approach and a modern tech stack • Designing, implementing, and maintaining RESTful APIs with NextJS/Express • Modeling Context Protocol (MCP) Knowledge Agents with Claude SDK • Creating AI Agents that can take actions and handle multi-step reasoning • Developing and maintaining features on both React frontend and Node.js (NextJS) backend • Building intuitive user interfaces using TypeScript, Vite, React and a UI component library • Integrating the platform with various external services • Collaborating closely with AI product managers and specialists • Contributing to database schema design and writing migrations • Collaborating on application deployment and maintaining cloud infrastructure

• Design, build, and deploy LLM-powered agents for multiple business domains (A/B testing, marketing analytics, data engineering automation, MarTech workflows) • Develop multi-step reasoning agents that integrate with internal data systems, APIs, and tools • Implement RAG architectures to enable agents to leverage enterprise data effectively • Integrate LLM agents within the Databricks lakehouse architecture • Build scalable pipelines using PySpark, SQL, and Databricks workflows • Enable seamless interaction between agents and data warehouses, event streams, and APIs • Design and optimize prompts, tools, and agent workflows for accuracy and performance • Develop evaluation frameworks to measure agent quality, reliability, and business impact • Implement strategies to reduce hallucinations and improve response consistency • Build agents that automate: Experimentation analysis (A/B testing insights), Marketing performance reporting and optimization, Data Engineering workflows and monitoring, MarTech processes and campaign operations • Deliver solutions that drive measurable efficiency gains and decision velocity • Productionize agent systems with monitoring, logging, and observability • Implement guardrails, security controls, and governance frameworks • Ensure scalability, latency optimization, and cost efficiency • Partner with Data Engineering, Analytics, Marketing, and Product teams to translate business requirements into scalable AI solutions • Communicate insights and capabilities to both technical and non-technical stakeholders

• Lead and mentor a cross-functional engineering team, fostering a culture of collaboration, innovation, and continuous improvement, with a strong focus on AI adoption. • Drive the design, implementation, and evolution of AI-powered solutions, particularly AI agents, to enhance software development workflows. • Act as a hands-on technical leader, actively contributing to system design, code reviews, and the development of AI capabilities. • Identify and prioritize high-impact opportunities to leverage AI across the software development lifecycle. • Architect and implement scalable and secure systems that combine traditional backend engineering with AI components. • Collaborate with product, engineering, and business stakeholders. • Establish best practices for building, evaluating, and maintaining AI systems in production. • Drive the adoption of AI tools and practices across engineering teams.

• Drive growth across a portfolio of web products with a primary focus on maximizing ARPU and conversion rate. • Own the design and execution of a science-backed experimentation program. • Define, prioritize, and run high-impact growth experiments across multiple products. • Optimize conversion funnels end to end. • Test and refine pricing and packaging. • Improve churn-prevention flows. • Apply statistical rigor to validate every experiment. • Build and maintain an 80/20 prioritization framework for ARPU/CR opportunities. • Use AI tools to automate reporting, QA, and operational workflows. • Work closely with design, engineering, and data to implement A/B tests and interpret results.

• Design and build multi-agent AI systems integrating LLMs for customer-facing workflows • Develop and maintain N8N automation workflows • Integrate voice AI platforms with custom prompt logic for call bot behavior • Classify and prioritize automation use cases based on business impact • Ensure automated workflows reflect high-quality communication standards • Define, document, and test REST APIs for integration with CRMs and internal systems • Build and manage comprehensive API test suites in Postman and N8N • Collaborate with Development, Product, and QA teams to diagnose and escalate technical issues • Craft and iterate on LLM prompts for structured output generation • Identify recurring workflow gaps and propose preventive optimization actions • Contribute to internal technical documentation and support onboarding • Collaborate on initiatives to enhance customer experience

• Design, develop, and maintain interactive dashboards and reports that meet business requirements. • Connect to various data sources, perform data extraction, transformation, and loading (ETL) operations. • Collaborate with stakeholders to understand business needs and translate them into technical specifications. • Optimize Tableau dashboards for performance and scalability. • Develop and enforce data visualization and dashboard design best practices. • Provide training and support to end-users on Tableau/Looker dashboards and reports. • Participate in data governance and data quality initiatives.