Lead the DevSecOps strategy and roadmap to integrate automated security controls throughout the software-development lifecycle. Partner with engineering and platform teams to secure cloud environments, containers, and delivery pipelines.
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Lead the application security program across mobile, web, and backend services to identify risks early in the software development lifecycle. Define security standards, conduct technical reviews, and partner with engineering teams to remediate vulnerabilities without hindering delivery.
Lead the offensive security strategy and program, conducting hands-on penetration testing and red-team exercises across mobile, web, and cloud environments. Collaborate with engineering and risk teams to remediate vulnerabilities and improve the overall resilience of the financial platform.
Lead the company-wide information and cybersecurity strategy to protect a high-availability financial platform. This includes owning security across applications, cloud infrastructure, and data while building and leading a high-performing security team.
Build and operate security platforms, automation, and tools to integrate security guardrails into CI/CD pipelines and cloud environments. Collaborate with engineering teams to improve security visibility, reduce false positives, and strengthen software supply chain security.
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Act as the primary point of contact for customers to nurture relationships and ensure the successful delivery of AI language model training projects. Collaborate with engineering and operations teams to manage high-quality data projects and meet client SLAs.
Design and build scalable systems, tooling, and data processing pipelines to improve AI delivery and evaluation. Lead the end-to-end execution of data collection projects for frontier AI labs to improve advanced models.
Lead finance-domain AI programs by owning the delivery of training, evaluation, and data projects. Act as the primary finance expert to ensure AI outputs meet professional standards while bridging the gap between financial clients and technical AI/ML teams.
Oversee the end-to-end product operations cycle to ensure the efficient delivery of features and customer-facing solutions. Collaborate with engineering and product teams to align operational processes with goals and optimize key performance metrics.
The role focuses on identifying and cultivating strategic partnerships with enterprise companies in the AI and machine learning sectors. The manager will develop growth strategies and negotiate complex deals to create long-term value for Surge.
The role involves owning end-to-end coding data projects to teach frontier AI models how to code. This includes designing agentic training workflows, evaluation rubrics, and technical environments that mirror real-world software engineering.
Lead customer-centric product development by identifying pain points and delivering impactful solutions. Establish scalable systems and processes to enhance customer support and value delivery in collaboration with engineering teams.
The role involves overseeing the end-to-end product operations cycle to ensure the efficient delivery of features and customer solutions. It requires collaborating with product and engineering teams to align operational processes with product goals and optimizing key performance metrics.
Design and architect end-to-end systems for collecting, structuring, and delivering human data to train frontier AI models. Collaborate with engineering and product teams to optimize data pipelines and ensure high-quality training signals for SFT and RL.
Lead initiatives to establish scalable systems and processes that enhance customer support and value delivery. Coordinate with engineering and operations teams to drive the execution of complex, cross-functional projects.
Lead initiatives to improve products and customer value by coordinating between engineering and operations teams. Establish scalable systems and repeatable processes to drive efficient cross-functional project delivery.
Partner with AI labs to design data collection strategies and analyze experimental results to improve model performance. Implement quality controls and run experiments to ensure models are safe, human-aligned, and insightful.
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Oversee the end-to-end product operations cycle to ensure the efficient delivery of features and customer solutions. Collaborate with engineering and product teams to optimize operational processes and track key performance metrics.
Manage key accounts as a trusted advisor to ensure customer success and the delivery of high-quality AI data projects. Lead cross-functional collaboration between engineering and operations teams to meet client SLAs and goals.
Design and implement critical data infrastructure and pipelines to support AI research labs. Build tools for scalable oversight, including human-in-the-loop systems and automated experiments for model alignment.
Lead initiatives to enhance customer support and value delivery by establishing scalable systems and processes. Coordinate with engineering and operations teams to drive the execution of complex, cross-functional projects.
Lead end-to-end red-teaming workstreams against frontier models by scoping threat models and designing adversarial campaigns. Establish a recurring red-team cadence and produce executive reports to distill severity and user harm.
Own end-to-end coding data projects to train frontier AI models, designing agentic workflows and evaluation schemes. Collaborate with clients and internal teams to build technical environments and rubrics that reflect real-world software engineering.
Lead technical discovery and deliver tailored demos and Proof of Value workshops for enterprise opportunities across EMEA. Partner with Account Executives on deal strategy and collaborate with Product teams to influence the platform's direction.
The Creative Director will set the vision and lead the creative direction for Surge's brand across digital, interactive, and experiential touchpoints. They will transform complex technical AI research into accessible and inspiring narratives to shape the company's global identity.
Design and govern simulated environments and modular frameworks for RL agents to learn and be stress-tested. Establish quality standards for data, reward structures, and telemetry to ensure stable and scalable training signals.
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Lead the end-to-end lifecycle marketing strategy for the contributor workforce, focusing on onboarding, engagement, and reactivation. Drive growth through experimentation across paid channels and optimize email programs using a UX-informed design approach.
Lead cross-functional initiatives to build scalable systems and processes that enhance customer value delivery. Coordinate between engineering and operations teams to drive the execution of complex projects and manage timelines.
The Brand Strategist will define the company's communication strategy and craft frameworks to guide voice, identity, and campaigns. They will translate complex technical AI concepts into compelling narratives for diverse audiences.
Lead the corporate communications strategy to shape the company's narrative and visibility within the AI industry. This includes managing media relations, crafting high-impact materials, and counseling leadership on external messaging.
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