• Map GTM bottlenecks: Partner with RevOps, Sales, Marketing, and CS to identify where AI can reduce manual effort, increase speed, or improve targeting. • Prototype fast: Use GPT-4, Claude, Zapier, Clay, Hex, Notion, and similar tools to quickly ship working workflows. • Run pilots: Deploy in-field with SDRs, AEs, and CSMs. Shadow, iterate, and learn. • Measure ROI: Quantify hours saved, pipeline influenced, and conversion lifts. • Operationalize workflows: Document and transition working flows to GTM Systems, Enablement, or Marketing Ops for scale. • Translate GTM strategy into execution: Operationalize Piper artifacts into real-time workflows that drive pipeline growth and faster prospect follow-up. • Deploy self-serve AI tools: Launch Slack-triggered workflows that reduce prep/admin time by 25–40% and dynamically prioritize accounts. • Automate connected workflows: Improve hand-offs across Salesforce, Salesloft, Gong, and G2 Intent, cutting time-to-action by 20–30%. • Partner across functions: Increase adoption of GTM tools by 60–80% by aligning AI workflows with how reps and CSMs actually work. • Benchmark against best-in-class: Build internal orchestration modeled on leading GTM platforms like Qualified.

• Creating the most compelling experience for users to explore and manage their multimodal data. • Closely working with the rest of the team and designers to optimize user experience. • Building scalable backends for LanceDB Cloud that offer a serverless experience for billion-scale datasets. • Fast pace with a stellar team of core contributors to incredible projects like Python Pandas, Arrow, Delta-rs, Hadoop, to define the next generation data system for AI. • Future leadership opportunities as the team grows. • Be the driving force to raise the bar and strive for better architecture and best practices within the company.

• Develop a cloud-native Stream Governance platform for Kafka and real-time data, which is a multi-tenant, highly available, and scalable service • Architect a complex engineering system from end to end • Partner across engineering and other key stakeholders to create and execute the overall roadmap for delivering a top-notch Data Streaming Platform for our customers • Evaluate and enhance the efficiency of our platform's technology stack, keeping pace with industry trends and adopting state-of-the-art solutions • Solve complicated technical projects with high quality and provide technical guidance to the team in specialized areas • As a vital member of our team, take responsibility for developing, managing, and maintaining a mission-critical service with a 99.99 SLA running on 90+ AWS, GCP, and Azure regions • Enhance the stability, performance, scalability, and operational excellence across multiple critical systems

• Collaborate with the Apache Kafka community via KIPs, code contributions, reviews, and technical discussions; represent Confluent’s interests while keeping the broader ecosystem in mind. • Drive projects that have high complexity requiring technical acumen, a high level of judgement and able to deal with ambiguity. • Be a force multiplier and show strong ability to mentor and grow the team with guidance on strong design principles and software architecture. • Insist on high standards for the quality of software the team is developing. • Communicate with product management and engineering leaders on the roadmap, understand the specs and the product interfaces. • Drive operational excellence on reliability improvements, operational events and supportability. • Demonstrate strong verbal and written communication skills to influence teams/peers beyond immediate span of control.