
11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Gray Swan is an AI security company that builds a research-backed platform to protect AI deployments across the entire lifecycle, offering input/output filtering, continuous monitoring, automated vulnerability testing, and enterprise-focused red-teaming services. The company combines frontier research, benchmarks, and large-scale red-team competitions to discover emerging attacks and deliver adaptive, integrable protections for AI agents, models, and connected tools. Gray Swan’s products and services are aimed at enterprises, AI labs, and security researchers seeking pre-deployment assessments, post-deployment monitoring, and compliance-ready defenses.
🔥 0 minutes ago
🔔 Pennsylvania – Remote
💵 $185k - $270k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💰 Account Manager
👻 Ghost score 17%
Where this job comes from
Posted on Gray Swan's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Gray Swan is an AI security company that builds a research-backed platform to protect AI deployments across the entire lifecycle, offering input/output filtering, continuous monitoring, automated vulnerability testing, and enterprise-focused red-teaming services. The company combines frontier research, benchmarks, and large-scale red-team competitions to discover emerging attacks and deliver adaptive, integrable protections for AI agents, models, and connected tools. Gray Swan’s products and services are aimed at enterprises, AI labs, and security researchers seeking pre-deployment assessments, post-deployment monitoring, and compliance-ready defenses.
• Own strategy and operating plans for assigned frontier lab accounts • Translate partner goals into scoped programs, delivery milestones, success measures, and acceptance criteria • Coordinate model access, evaluation setup, staffing, review cycles, and customer dependencies • Manage changes and explain effects on quality, timing, cost, and capacity • Run partner meetings and maintain written updates, action items, decisions, and escalation paths • Translate technical progress and limitations for researchers, product leads, and commercial stakeholders • Raise difficult issues early, make recommendations, and maintain trust through accurate communication and follow-through • Partner with technical owners to ensure evaluation results, datasets, and reports meet delivery requirements • Track model and evaluation configurations, quality checks, and material limitations • Confirm delivery acceptance, understand customer use, collect feedback, and improve programs and product requirements • Maintain records of stakeholders, commitments, contracted scope, usage, and commercial milestones • Coordinate procurement, legal, and finance handoffs • Own expansion planning and develop proposals with product and commercial leads • Improve capacity, commitment, dependency, and delivery-risk planning across Frontier Lab Safety • Build templates and workflows for repeatable execution
• 5+ years of relevant experience • Record of independently delivering complex technical projects with external stakeholders through program management, technical partnerships, customer engineering, consulting, or a related role • Strong program-management fundamentals: clear scope, milestones, dependencies, resource planning, risk management, change control, and acceptance • Clear, concise writing and ability to lead productive conversations with technical specialists and senior stakeholders • Software and AI fluency sufficient to reason about APIs, integrations, logs, configurations, and agent traces • Good judgment about commitments, competing priorities, and sensitive partner information • Experience managing customer projects from agreed scope and purchasing through delivery, customer sign-off, and billing • Working knowledge of the ML lifecycle and AI evaluation, including training versus inference, datasets and holdouts, evaluation metrics, and limits of conclusions drawn from a test • Frontier lab partnerships, AI safety evaluations, adversarial testing, or research programs with uncertain outcomes are bonus experience • Ability to demonstrate core skills and learn unfamiliar domains quickly
• 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 • Meaningful equity package
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