Gray Swan

• Design and develop web applications using modern frontend frameworks like Svelte • Build intuitive and user-friendly interfaces that delight users • Develop and maintain backend APIs using tools like FastAPI • Manage and optimize database systems like MongoDB • Collaborate with our ML research team to integrate AI experiences into our products

• Work directly with engineering, security, and platform teams to understand system architectures, constraints, and operational realities. • Design and implement integrations between Gray Swan’s platform and customer systems, APIs, data pipelines, and runtime environments. • Translate real-world enterprise requirements into well-scoped proofs of concept, deployment plans, and production architectures. • Act as the primary technical owner for customer deployments, rapidly identifying, scoping, and resolving issues across environments. • Build and extend backend services, integrations, and tooling to support secure deployment in diverse customer environments. • Ensure deployments meet enterprise expectations for reliability, security, observability, and maintainability. • Develop proofs of concept quickly to validate technical feasibility and customer value. • Iterate based on user feedback, operational learnings, and evolving requirements. • Balance speed with long-term maintainability and platform consistency. • Partner closely with sales, product, and core engineering teams to deliver successful customer outcomes. • Communicate technical findings, tradeoffs, and recommendations clearly to both internal teams and customers.

• Design and develop novel ML approaches to adversarial testing, model evaluation, and robust inference. • Build and deploy ML models that meet real-world performance and scalability requirements. • Design experiments, analyze results empirically, and communicate findings through publications and internal research reports. • Develop and advance methodologies for controlling, monitoring, and analyzing ML models in production environments. • Translate research ideas into scalable AI systems deployed in real-world, adversarial settings. • Work closely with cross-functional teams to ensure research outcomes inform production systems.

• Support the SVP of Frontier Lab Safety • Act as the operational backbone for all lab relationships, owning the workflows and coordination to ensure services can scale. • Translate technical scopes into clear milestones and deliverables for broader team execution. • Coordinate initial calls with new customers, including scheduling, prep materials, and post-call follow-up. • Monitor dedicated Slack channels for lab customers and surface new signals or requests to internal teams quickly. • Ensure that internal teams can focus on high-leverage work by owning the execution details of every engagement. • Own the CRM for all lab relationships capturing every contact, conversation, and opportunity to reflect reality. • Drive deals to close in real time, working with procurement and legal teams to keep contracts moving. • Identify and resolve blockers before they impact timelines, maintaining full visibility into contract status. • Maintain clear visibility into pipeline status and flag any delays before they become problems. • Keep the accounting team informed of milestone status and flag when deliverables are ready for invoicing. • Align internal teams and customer expectations on timelines, tracking progress and flagging risks early. • Provide light project management across active engagements to keep expectations aligned. • Be a consistent, reliable point of contact for lab partners on operational and logistical questions.

• Collaborate with the Arena Product team to set growth goals and iterate rapidly. • Develop and execute multiple experiments across 3-5 channels over the first 6 months, doubling down on tests that work. • Experiment with a variety of tools and platforms you believe will return the biggest results, with freedom to shape the marketing stack. • Track and analyze participant acquisition and engagement metrics, identify the top traffic sources and optimize on those efforts to drive registrations and daily active users; report on this performance at both the challenge and platform level. • Own and expand on the existing Arena marketing partnerships while identifying opportunities to track, report, and present ROI on partnership impact. • Lead Arena Challenge announcements and continued promotion campaigns with primary growth KPIs in mind. • Create a consumer brand voice that is unique to Arena and complements the B2B persona. • Carry the consumer brand voice over to the voice across our community in Discord, fostering ongoing engagement through conversations, activations, and programming that keep users returning for new challenges. • Translate community insights and discussions into compelling marketing content that reflects user interests, brand credibility, and drives deeper participation. • Amplify the impact of community contributions by showcasing how user participation influences and strengthens AI security research. • Manage per-challenge budgets aligned to challenge type, performance goals, and lab partnership interaction to ensure efficient allocation of resources to maximize participation and outcomes. • Research, plan, and execute on in-person hackathons and events to grow the user base, deepen brand engagement, and attract high-quality specialists in the space. • Help Gray Swan make AI safe for everyone.

Role Description We’re looking for a Product Designer to join our small but mighty design team. You’ll work closely with the Arena Product team to revamp the Gray Swan AI Arena. From collaborating with developers and marketing teams to translating complex technical workflows into clear, trustworthy, and refined product experiences, you’ll help shape how AI systems are tested, monitored, and secured. This is a high ownership role. We care deeply about craft, but just as much about initiative. We’re looking for someone who can take a problem, run with it, collaborate cross functionally, and push the work to a high standard without waiting to be told what to do. What You’ll Do: - Design and improve Gray Swan’s Arena UI across web and mobile platforms - Own your work from end-to-end, from early concept sketches to production-ready specs - Translate complex technical workflows into clear, and intuitive user experiences - Incorporate visual design and persuasive design principles to create joyful and engaging flows - Build and maintain UI components, patterns, and visual standards in our design system - Collaborate with product, engineering, ML research, and GTM teams on cross-functional work - Contribute to ad hoc design needs as they arise: we all wear a few extra hats here! Qualifications - 2+ years’ professional experience in product UI/UX design, ideally in gamified consumer apps, bonus points for experience building tooling and/or chat interfaces - Able to balance the need of technical users with creating playful design - Proficient in modern design and prototyping tools - Solid grasp on user-centered design principles and usability testing methodologies - Detail-oriented with a knack for managing style guides and component libraries Requirements - Experience working at an early-stage startup (bonus) - Understanding of AI safety principles or ethical considerations in AI systems (bonus) - Some familiarity with front-end development or coding skills (bonus) Benefits - Competitive compensation package designed to reward impact and incentivize growth - Salary: $87,975 - $157,169 - Competitive equity package - 401k with up to 4% matching - 28 days annual leave (vacation + holidays) - Health, dental, and vision coverage - Catered lunches (Pittsburgh office) - Flexible work arrangements - Visa sponsorship available for exceptional candidates Interview Process - 🔎 Application Review: We read everything. - 🗣 Intro Call (30 min): We learn about you; you learn about us. - 🧑‍💻 Portfolio Presentation (60 min): Walk us through your portfolio. We’ll ask you questions to learn about your process. - 🎨 Live Design (75 min): Show us how you work. - 😇 Reference Checks: We’ll reach out to 3-5 references that you provide. - 📃 Offer: If it’s mutual, we move fast.

• Own pipeline targets (volume + quality), aligned with revenue goals • Design and execute integrated campaigns across outbound, inbound, events, partnerships, and paid channels • Build and optimize programs that generate Sales Qualified Leads (SQLs) and pipeline • Define ICP segmentation and prioritize high-value accounts • Develop channel strategy (paid, organic, outbound, events, ABM) • Continuously test and optimize messaging, offers, and conversion paths • Own budget allocation across channels with clear ROI accountability • Manage paid acquisition (LinkedIn, Google, etc.) and conversion optimization • Implement rigorous experimentation (A/B testing, funnel optimization) • Partner tightly with Sales leadership to define qualification criteria and feedback loops • Ensure marketing-generated pipeline converts to revenue • Align campaigns with sales motions (e.g., enterprise outbound vs. PLG vs. hybrid) • Partner with Product to ensure message-market fit • Collaborate with go-to-market operations on attribution, reporting, and funnel visibility

• Work directly with engineering, security, and platform teams to understand system architectures, constraints, and operational realities. • Design and implement integrations between Gray Swan’s platform and customer systems, APIs, data pipelines, and runtime environments. • Translate real-world enterprise requirements into well-scoped proofs of concept, deployment plans, and production architectures. • Act as the primary technical owner for customer deployments, rapidly identifying, scoping, and resolving issues across environments. • Build and extend backend services, integrations, and tooling to support secure deployment in diverse customer environments. • Ensure deployments meet enterprise expectations for reliability, security, observability, and maintainability. • Develop proofs of concept quickly to validate technical feasibility and customer value. • Iterate based on user feedback, operational learnings, and evolving requirements. • Balance speed with long-term maintainability and platform consistency. • Partner closely with sales, product, and core engineering teams to deliver successful customer outcomes. • Communicate technical findings, tradeoffs, and recommendations clearly to both internal teams and customers.

• Design, build, and deploy AI safety and security solutions directly inside customer environments. • Apply state-of-the-art deep learning methods to turn ambiguous, high-stakes problems into production-grade models and systems. • Implement data pipelines, model serving, and evaluation frameworks. • Adapt and fine-tune models to domain-specific data and performance requirements. • Work with customer teams to understand data constraints, and operational realities. • Translate real-world problems into well-scoped proofs-of-concept and deployment architectures. • Act as the primary AI/ML technical owner for customer projects, rapidly identifying, scoping, and solving technical issues. • Develop proofs of concept quickly to validate technical feasibility and customer value. • Iterate based on user feedback, empirical results, and changing requirements. • Balance speed with long-term maintainability. • Partner with sales, product, research, and platform teams. • Communicate findings, tradeoffs, and recommendations. • Contribute learnings from deployments back into core product and platform development.

• Serve as the technical lead on enterprise sales opportunities, partnering with Account Executives to shape deal strategy and execution. • Lead technical discovery with customer security, AI, and platform teams to understand architectures, threat models, and operational constraints. • Define technical win strategies, including solution design, evaluation plans, and success criteria. • Act as a trusted technical advisor to senior customer stakeholders throughout the buying process. • Articulate and demonstrate how the Gray Swan platform identifies vulnerabilities in and protects modern AI systems. • Design deployment architectures for integrating Gray Swan across development, deployment, and runtime environments. • Advise customers on best practices for AI security, governance, and operationalization. • Design, build, and maintain compelling demo environments tailored to customer use cases. • Lead proofs of concept and pilots that clearly demonstrate value and differentiation. • Address deep technical, architectural, and security objections with confidence and authority. • Support security reviews, threat modeling sessions, and technical due diligence. • Communicate complex AI security concepts clearly to engineers, security leaders, and executives. • Translate technical capabilities into measurable business impact and risk reduction. • Support RFPs, security questionnaires, and compliance discussions. • Represent Gray Swan as a technical authority in customer meetings and select industry forums. • Provide structured feedback to Product and Engineering based on real-world customer needs. • Surface patterns across enterprise buyers to influence roadmap prioritization. • Contribute to technical sales enablement and internal knowledge sharing.