{"id":2526762,"url":"https://alion.io/job/gray-swan-ai-senior-manager-engineering","title":"Senior Manager, Engineering","company":{"id":178416,"name":"Gray Swan AI","domain":"grayswan.ai","url":"https://alion.io/company/gray-swan-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Management","role_family":"Management","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pittsburgh, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":255000,"max":315000,"currency":"USD","period":"year","gross":null,"usd_annual":315000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Red Teaming","optional":false},{"name":"Rust","optional":false},{"name":"Apache Kafka","optional":true},{"name":"ClickHouse","optional":true},{"name":"LLM","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"Terraform","optional":true},{"name":"Zero Trust","optional":true}],"status":"live","first_seen_at":"2026-09-18T17:17:53Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-08T23:49:17Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"About Gray Swan\nGray Swan is on a mission to empower the world to use AI safely and securely. We evaluate AI models for the leading frontier labs along with building real-time threat detection and adaptive adversarial red teaming agents for teams deploying AI.\nWe're a team of approximately 60 people, well-funded, growing quickly. Our work directly influences how the world deploys AI agents and systems at scale.\nLearn more about how we work.\nThe Role\nGray Swan is looking for an Engineering Manager, Enterprise to lead the team responsible for building and scaling the systems that power our AI security platform. You'll combine strong technical judgment with people leadership to help design the enterprise experience, including infrastructure, backend services, and cloud architecture that enable Gray Swan to build AI systems and for customers to safely deploy frontier AI models at scale.\nThis role is ideal for an engineering leader who enjoys solving complex infrastructure challenges while building and developing a high-performing team. You'll work closely with machine learning engineers, product engineers, and security researchers to ensure our platform remains fast, resilient, secure, and scalable as we grow.\nYou'll have significant ownership over foundational systems, technical strategy, and team development. As one of the leaders shaping Gray Swan's infrastructure organization, you'll have the opportunity to influence architecture, engineering practices, and how we build and operate systems in a rapidly evolving AI startup.\nWhat You’ll Do:\nLead, mentor, and develop a team of infrastructure engineers, creating a culture of ownership, technical excellence, and continuous improvement.\n\nSet technical direction and priorities for enterprise solutions in partnership with engineering leadership and other technical teams.\n\nOversee the design, development, and operation of highly available backend services and distributed systems that power Gray Swan's AI security platform.\n\nGuide the team in owning and scaling cloud infrastructure across Kubernetes, AWS, GCP, Azure, networking, storage, and compute.\n\nDrive the development of internal platform services, infrastructure tooling, and systems that improve developer productivity and reliability.\n\nEstablish and improve engineering practices around observability, monitoring, incident response, deployment, and operational excellence.\n\nPartner closely with machine learning, security, and product engineering teams to build infrastructure capable of supporting increasingly complex AI workloads.\n\nIdentify and address opportunities to improve system performance, reliability, scalability, and infrastructure efficiency.\n\nHelp define long-term architecture and technical strategy while balancing immediate product and engineering priorities.\n\nParticipate in hiring and help build a world-class infrastructure engineering organization.\n\nProvide technical guidance during complex production incidents and ensure the team learns from failures through effective post-incident reviews.\n\nCommunicate infrastructure strategy, tradeoffs, risks, and priorities clearly across engineering and company leadership.\n\nWho You Are:\n7+ years of experience building enterprise solutions with experience implementing backend infrastructure or distributed systems in production environments.\n\n2+ years of experience managing, mentoring, or leading software engineering teams.\n\nStrong technical background in infrastructure, distributed systems, backend engineering, or platform engineering.\n\nStrong programming experience in C/C++, Go, Python, Rust, Java, or a similar language.\n\nExperience operating production services on Kubernetes and modern cloud platforms such as AWS, GCP, and Azure.\n\nDeep understanding of networking, distributed systems, containers, service orchestration, and scalable architectures.\n\nExperience designing and operating APIs, microservices, asynchronous systems, and event-driven architectures.\n\nStrong understanding of reliability, observability, security, and performance at scale.\n\nComfortable diving into complex technical problems and debugging production systems alongside your team.\n\nA strong people leader who enjoys coaching engineers, providing feedback, and helping individuals grow.\n\nAble to balance technical depth with effective delegation and team leadership.\n\nExcited to work in a fast-moving startup where you will have significant ownership and ambiguity.\n\nBonus Points If You Have:\nExperience managing infrastructure or platform teams supporting machine learning or LLM workloads.\n\nExperience with infrastructure-as-code tools such as Terraform.\n\nExperience with Kafka, Redis, PostgreSQL, ClickHouse, or similar distributed data systems.\n\nExperience building internal developer platforms or platform engineering organizations.\n\nKnowledge of cloud security, infrastructure hardening, or zero-trust architectures.\n\nExperience scaling infrastructure through a period of rapid company or product growth.\n\nPrevious experience at a high-growth startup or building products from zero to one.\n\nInterest in AI safety, cybersecurity, or adversarial machine learning.\n\nIf you don’t have 100% of these, you should still seriously consider applying. We care more about what you can do than your credentials.\nYou’ll Thrive Here If You:\nYou lead from the front. You're technically curious, comfortable getting into the details when needed, and know how to empower engineers without becoming a bottleneck.\n\nYou build great teams. You care deeply about developing engineers, creating a strong team culture, and giving people the ownership and autonomy they need to do their best work.\n\nYou think at scale. You enjoy designing resilient infrastructure, making thoughtful architectural decisions, and building systems that are secure, observable, and built to grow.\n\nYou balance strategy with execution. You can zoom out to define long-term technical direction while staying close enough to the work to help the team navigate difficult technical problems.\n\nYou collaborate across disciplines. You work effectively with machine learning engineers, security researchers, and product teams, understanding that great infrastructure enables everyone else to move faster.\n\nYou're excited by our mission and startup environment. You enjoy moving quickly, adapting to change, and helping build the infrastructure foundation for the future of secure AI.\n\nWhat We Offer:\nWe offer a competitive compensation package designed to reward impact and incentivize growth. Our compensation philosophy is informed by our current valuation and recent industry data.\nCompensation: $255,000 - $315,000 plus performance based bonus and meaningful equity package\nBenefits:\n401k with up to 4% matching\n\n28 days annual leave (vacation + holidays)\n\nHealth, dental, and vision coverage\n\nCatered lunches (Pittsburgh office)\n\nFlexible work arrangements\n\nVisa sponsorship available for exceptional candidates\n\nInterview Process\nApplication review. We read everything; we’ll respond within 10 days.\nRecruiter Screen. We learn about you; you learn about us.\nTechnical interview or Hiring Manager Interview.\nRole related assesment\nExperience & culture interview\nReference checks. We’ll reach out to 3-5 references that you provide.\nOffer. If it’s mutual, we move fast.\nHow to Apply\nSubmit your resume, link to your portfolio, and answer the questions on the application.","description_format":"text","description_chars":7416,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Annual leave","Equity","Flexible schedule","Performance based bonus"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","LLM & Generative AI"],"lifecycle":[{"event":"open","at":"2026-10-14T12:24:55Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":16,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":182500,"route":null,"cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","Alion: sponsorship offered in the employer's own job adverts (24 months)"],"filings_for_role_12m":0}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.567,"p_room":0.45,"age_days":50,"expected_fill_days":31,"reasons":["conf:2","win:tail"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":315000,"is_top_pay":true},"html_url":"https://alion.io/job/gray-swan-ai-senior-manager-engineering","json_url":"https://alion.io/job/gray-swan-ai-senior-manager-engineering.json","meta":{"generated_at":"2026-11-09T03:29:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1708,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":178416},"rest":"https://alion.io/mcp/rest/get_company?id=178416"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgray-swan-ai-senior-manager-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgray-swan-ai-senior-manager-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgray-swan-ai-senior-manager-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gray-swan-ai-senior-manager-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgray-swan-ai-senior-manager-engineering"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2526762}},{"tool":"search_jobs","arguments":{"company":"grayswan.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2526762},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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