Senior Manager, AI Platform Engineering at True Anomaly

Long Beach, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

290000.0

Posted On

04 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI platform engineering, Software engineering, ML engineering, Model serving, GPU compute management, Inference pipelines, Agent frameworks, API gateways, Enterprise AI tooling, Team leadership, Architecture design, Cloud infrastructure, On-premises infrastructure, Data engineering, Cybersecurity, Stakeholder management

Industry

Defense and Space Manufacturing

Description

A new space race has begun. True Anomaly seeks those with the talent and ambition to build innovative technology that solves the next generation of engineering, manufacturing, and operational challenges for space security and sustainability. OUR MISSION The peaceful use of space is essential for continued prosperity on Earth—from communications and finance to navigation and logistics. True Anomaly builds innovative technology at the intersection of spacecraft, software, and AI to enhance the capabilities of the U.S., its allies, and commercial partners. We safeguard global security by ensuring space access and sustainability for all. OUR VALUES Be the offset. We create asymmetric advantages with creativity and ingenuity What would it take? We challenge assumptions to deliver ambitious results It’s the people. Our team is our competitive advantage and we are better together YOUR MISSION True Anomaly is becoming an AI-first company. Every function, from engineering to manufacturing to business operations, is expected to work with AI as a core part of their workflow. There is no AI engineering team today, no internal model hosting infrastructure, and no agent platform. As Senior Manager of AI Engineering, you will build all of it. You will own the AI platform: model hosting, agent frameworks, enterprise AI tooling, and the infrastructure that connects AI capabilities to the systems where work happens. You will also own AI enablement across the company, embedding with teams to identify high-value use cases and deploying the tools and patterns that make adoption stick. This is a player-coach role with full executive sponsorship. You will be making architecture decisions and shipping code on day one while building a team of 8 engineers around you. RESPONSIBILITIES Build and lead the AI Engineering team from zero: 8 engineers spanning AI platform, AI infrastructure, and enterprise AI tooling, with an emphasis on recruiting people who can ship in ambiguous environments with minimal direction Own the AI platform architecture: model hosting (cloud and on-premises GPU compute), agent frameworks, API gateways, and the platform layer that connects AI capabilities to the tools and systems where work happens Build and deploy enterprise AI tooling across the company: knowledge platforms (Glean or equivalent), coding assistants, MCP connectors, and AI-powered workflows embedded in collaboration and engineering tools Design and build the agent infrastructure that moves the company from standalone AI tools to embedded and autonomous AI: agents that monitor, analyze, recommend, and act within company systems with appropriate human oversight Drive AI enablement across the organization: training, embedding with teams, supporting a distributed champion model, and building the reusable patterns and documentation that make adoption self-sustaining Partner with Data Engineering (critical-path dependency for the AI platform), Infrastructure Engineering (compute and networking), and Cybersecurity (compliance and data handling) to deliver a platform that is secure, scalable, and production-ready QUALIFICATIONS 8+ years of experience in software engineering, ML engineering, or AI infrastructure, with 3+ years building and leading engineering teams Hands-on experience building AI/ML infrastructure: model serving, GPU compute management, inference pipelines, and the platform layer that production AI systems run on Experience building agent systems or AI-powered automation that interacts with external systems via APIs, manages state, and operates with appropriate human oversight Track record of hiring and developing high-performing engineering teams in fast-paced environments Strong understanding of current AI tooling: frontier models, enterprise AI platforms, coding assistants, knowledge systems, and how they fit together in a production environment Ability to work across technical and non-technical stakeholders to identify AI use cases, set priorities, and deliver capabilities that people actually adopt PREFERRED SKILLS AND EXPERIENCE Experience deploying AI systems in defense, government, or regulated environments with data handling requirements (CUI, ITAR, FedRAMP, or DoD Impact Levels) Background with enterprise AI platforms (Anthropic Claude, OpenAI, Google Gemini) including API management, rate limiting, cost controls, and multi-provider strategies Experience with on-premises GPU infrastructure for model hosting and inference where cloud-only is not an option Familiarity with knowledge management platforms (Glean or similar) and experience connecting them to enterprise data sources Prior experience driving AI adoption at a company where AI fluency was treated as an organizational competency, not just an engineering initiative Active U.S. security clearance at any level COMPENSATION Base Salary: Long Beach - $210,000 to $290,000, Denver - $200,000 to $280,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience. ADDITIONAL REQUIREMENTS U.S. citizenship required; clearance eligibility required; active clearance at any level preferred Work Location: this role will be fully onsite at our facilities in Centennial, CO or Long Beach, CA Work environment is in a standard office, working at a desk or in a production factory. Physical demands may include frequent standing, sitting, walking, bending, and lifting or carrying items up to 20lbs. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (IT AR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. True Anomaly is committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.

Responsibilities

Build and lead a team of 8 engineers to develop the company's AI platform, including model hosting, agent frameworks, and enterprise AI tooling. Drive AI enablement across the organization by embedding with teams to identify high-value use cases and deploying scalable, secure AI workflows.