Surge AI

• Establish and expand scalable systems, products, and processes to enhance customer support • Drive execution of multiple simultaneous, cross-functional projects and/or programs • Effectively set timelines and manage teams to deadlines • Interface with a variety of technical and non-technical stakeholders

• Manage the end-to-end data operations process, ensuring data is collected, processed, and delivered efficiently and accurately. • Collaborate with product and engineering teams to refine data pipelines and improve data flow across systems. • Establish and monitor key data quality metrics, ensuring the consistency and reliability of data used for training AI models. • Identify operational inefficiencies in data workflows and implement solutions to improve speed and quality. • Provide actionable insights from data analysis, supporting teams in decision-making and product development.

• Develop innovative solutions to enhance annotation efficiency using the latest AI advancements. • Create intuitive interfaces for data exploration and visualization, including tools for RLHF processes. • Design and implement systems for large-scale data processing to support AI model training and evaluation. • Build interactive products to effectively communicate complex instructions to our workforce. • Contribute to products that facilitate the collection and analysis of human feedback for RLHF and other AI training methodologies.

• Manage key accounts as a trusted advisor, developing a deep understanding of clients' AI strategies • Lead cross-functional collaboration, interfacing with engineering and operations teams to ensure excellent deliverables • Drive client relationship management by maintaining strong connections and addressing concerns

• Drive customer-centric product development by deeply understanding pain points and delivering impactful solutions, while overseeing project execution and account management activities. • Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features. • Gather and leverage data-driven insights to improve customer models and our ability to consistently enhance their performance.

• Design and build core fullstack systems that power Surge’s platform • Own frontend product decisions and backend architecture for high-impact workflows • Build scalable systems for data collection, labeling, and evaluation • Create fast, reliable, and intuitive tools used by the world’s leading AI labs • Take ownership from idea to production, iterating quickly while maintaining a high bar for quality

• Spearhead experiments to further develop and uplevel our marketing platform. • Own the end-to-end lifecycle marketing program for our contributor workforce. • Run experiments across creative, branding, value props, and copy for all worker profiles. • Lead the design, copywriting, segmentation, and performance analysis of all email programs. • Apply your UX/UI sensibility to craft communications that feel intuitive and delightful. • Build and own the strategy to re-engage lapsed contributors. • Partner with the broader marketing and product teams on positioning, messaging, and go-to-market. • Work closely with product, ops, and growth to align on initiatives, inform the roadmap, and ensure that lifecycle touchpoints reflect what’s happening across the platform.

• Own end-to-end coding data projects, from initial scoping and pilot design through execution, iteration, and scale-up. • Design agentic training workflows and task structures that mirror real-world SWE work (e.g., refactoring, debugging, code review, large-repo navigation, tool use). • Define and iterate on rubrics, golden sets, and reward signals that capture true engineering value, not just “does it compile.” • Evaluate data and worker output with strong SWE taste, and make calls about what meets the bar for frontier training. • Design and run qualification processes for coding workers, including hands-on assessments of their coding ability. • Set up or partner on complex technical environments (e.g., containers, repos, test harnesses, sandboxes, code execution infrastructure). • Partner with technical staff at our clients to translate high-level training goals into concrete projects and technical environments. • Collaborate closely with Surge engineering, product, and operations to improve our coding data products, internal tools, and execution processes.

• Own acquisition, reactivation, and retention efforts across contributor pools • Own the strategy and execution for increasing platform engagement • Define and lead the approach for acquiring specialized contributors • Build and own the strategy to re-engage lapsed workforce segments • Manage assigned initiatives from kickoff to outcome • Test and learn across paid, organic, partnerships, and non-marketing levers

• Research data collection strategies and designing high-impact data slices that uncover model failure modes • Model annotator behavior and designing experiments to optimize instruction clarity and reward signal reliability • Develop metrics and frameworks for evaluating dataset quality, diversity, and impact on downstream model alignment