Manifest
Get AI-powered advice on this job and more exclusive features.
The following information provides an overview of the skills, qualities, and qualifications needed for this role. Manifest’s mission is to quantify change. We give enterprises a clear, trustworthy record of what’s happening in their environments so they can reduce risk, speed up investigations, and resolve issues before they grow. Our team is a small but fast-growing group of engineers, product thinkers, and operators building a solution that makes complex environments more understandable and actionable. Role Overview Manifest IT is building a Change Observability Platform that unifies time-series data, graph intelligence, and GenAI copilots to help organizations trace, analyze, and remediate changes. We are looking for an AI/ML Lead (Applied AI Engineering Manager) to manage and mentor a team of ML Engineers and GenAI Programmers, driving the design and deployment of applied AI/ML features at scale. Key Responsibilities Leadership: Lead, mentor, and expand a team of ML Engineers and GenAI Programmers. Roadmap Execution: Define and deliver the AI/ML strategy aligned with platform milestones. Technical Guidance: Direct ML Engineers in building scalable pipelines for anomaly detection, correlation, and attribution. Guide GenAI Programmers in creating copilots, agentic workflows, and NL-to-Graph query translation. MLOps Ownership: Oversee the end-to-end ML lifecycle — model development, deployment, monitoring, and iteration. Quality & Compliance: Ensure ML/AI solutions meet standards for latency, scalability, accuracy, and governance. Collaboration: Work closely with product and engineering leadership to prioritize features and align execution with platform goals. Required Skills & Qualifications 8–12 years in ML/AI engineering, with 3+ years in leadership or management roles. Strong track record in production ML systems (time-series anomaly detection, causal inference, graph ML). Hands-on programming in Python, Go, or Java. Expertise in LLM/GenAI integration (RAG, embeddings, LangChain/LangGraph, MCP workflows). Experience with graph databases (Neo4j) and time-series platforms. Proficiency in MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker). Familiarity with Kubernetes, Docker, CI/CD pipelines. Strong communication, architecture design, and problem-solving skills. Preferred Prior experience building AI/ML features for large-scale SaaS or observability platforms. Knowledge of security and compliance-driven AI development. Startup or early-stage product-building experience. Logistics Location: San Francisco, Hybrid — we expect team members to be in-office ~50% of the time (some roles may require more). Manifest does not currently sponsor H1B visas and therefore candidates must be legally authorized to work for any employer in the United States on a full-time basis and not require current or future visa sponsorship for employment. Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesTechnology, Information and Internet Referrals increase your chances of interviewing at Manifest by 2x Get notified about new Engineering Manager jobs in
San Francisco Bay Area . San Francisco Bay Area $170,000.00-$210,000.00 3 weeks ago Sunnyvale, CA $218,000.00-$357,000.00 4 days ago Mountain View, CA $152,000.00-$248,000.00 2 days ago Director/Senior Engineering Manager – PCBA, System Integration, Process & Manufacturing Engineering Mountain View, CA $152,000.00-$248,000.00 4 days ago Alameda, CA $145,000.00-$214,000.00 3 weeks ago Brisbane, CA $180,000.00-$220,000.00 4 months ago Sr Manager, Software Engineering in Test Pleasanton, CA $160,000.00-$185,000.00 12 hours ago Director of Engineering - LinkedIn Premium, Growth & Subscriptions Lifecycle Mountain View, CA $209,000.00-$343,000.00 6 days ago San Mateo, CA $120,000.00-$180,000.00 5 days ago Manager, Software Engineering - Premium Team Mountain View, CA $147,000.00-$240,000.00 1 week ago Manager, Software Engineering, Reliability Mountain View, CA $152,000.00-$248,000.00 2 weeks ago Manager, Software Engineering, Observability Mountain View, CA $147,000.00-$240,000.00 3 weeks ago Palo Alto, CA $205,000.00-$260,000.00 2 weeks ago San Francisco, CA $205,000.00-$260,000.00 2 weeks ago San Francisco, CA $308,000.00-$308,000.00 1 month ago San Francisco County, CA $236,000.00-$295,000.00 3 hours ago Director of Engineering, Product Engineering Oakland, CA $241,000.00-$305,000.00 1 week ago San Jose, CA $207,500.00-$276,700.00 5 days ago Livermore, CA $170,000.00-$188,000.00 3 weeks ago San Francisco, CA $175,000.00-$250,000.00 2 days ago Menlo Park, CA $264,000.00-$342,000.00 2 weeks ago Fremont, CA $160,000.00-$200,000.00 3 weeks ago Sunnyvale, CA $208,000.00-$416,000.00 2 weeks ago Senior Engineering Manager, Core Infrastructure Mountain View, CA $245,000.00-$330,000.00 3 weeks ago San Francisco, CA $210,000.00-$290,000.00 2 months ago Director of Software Engineering (AI Ops) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
The following information provides an overview of the skills, qualities, and qualifications needed for this role. Manifest’s mission is to quantify change. We give enterprises a clear, trustworthy record of what’s happening in their environments so they can reduce risk, speed up investigations, and resolve issues before they grow. Our team is a small but fast-growing group of engineers, product thinkers, and operators building a solution that makes complex environments more understandable and actionable. Role Overview Manifest IT is building a Change Observability Platform that unifies time-series data, graph intelligence, and GenAI copilots to help organizations trace, analyze, and remediate changes. We are looking for an AI/ML Lead (Applied AI Engineering Manager) to manage and mentor a team of ML Engineers and GenAI Programmers, driving the design and deployment of applied AI/ML features at scale. Key Responsibilities Leadership: Lead, mentor, and expand a team of ML Engineers and GenAI Programmers. Roadmap Execution: Define and deliver the AI/ML strategy aligned with platform milestones. Technical Guidance: Direct ML Engineers in building scalable pipelines for anomaly detection, correlation, and attribution. Guide GenAI Programmers in creating copilots, agentic workflows, and NL-to-Graph query translation. MLOps Ownership: Oversee the end-to-end ML lifecycle — model development, deployment, monitoring, and iteration. Quality & Compliance: Ensure ML/AI solutions meet standards for latency, scalability, accuracy, and governance. Collaboration: Work closely with product and engineering leadership to prioritize features and align execution with platform goals. Required Skills & Qualifications 8–12 years in ML/AI engineering, with 3+ years in leadership or management roles. Strong track record in production ML systems (time-series anomaly detection, causal inference, graph ML). Hands-on programming in Python, Go, or Java. Expertise in LLM/GenAI integration (RAG, embeddings, LangChain/LangGraph, MCP workflows). Experience with graph databases (Neo4j) and time-series platforms. Proficiency in MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker). Familiarity with Kubernetes, Docker, CI/CD pipelines. Strong communication, architecture design, and problem-solving skills. Preferred Prior experience building AI/ML features for large-scale SaaS or observability platforms. Knowledge of security and compliance-driven AI development. Startup or early-stage product-building experience. Logistics Location: San Francisco, Hybrid — we expect team members to be in-office ~50% of the time (some roles may require more). Manifest does not currently sponsor H1B visas and therefore candidates must be legally authorized to work for any employer in the United States on a full-time basis and not require current or future visa sponsorship for employment. Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesTechnology, Information and Internet Referrals increase your chances of interviewing at Manifest by 2x Get notified about new Engineering Manager jobs in
San Francisco Bay Area . San Francisco Bay Area $170,000.00-$210,000.00 3 weeks ago Sunnyvale, CA $218,000.00-$357,000.00 4 days ago Mountain View, CA $152,000.00-$248,000.00 2 days ago Director/Senior Engineering Manager – PCBA, System Integration, Process & Manufacturing Engineering Mountain View, CA $152,000.00-$248,000.00 4 days ago Alameda, CA $145,000.00-$214,000.00 3 weeks ago Brisbane, CA $180,000.00-$220,000.00 4 months ago Sr Manager, Software Engineering in Test Pleasanton, CA $160,000.00-$185,000.00 12 hours ago Director of Engineering - LinkedIn Premium, Growth & Subscriptions Lifecycle Mountain View, CA $209,000.00-$343,000.00 6 days ago San Mateo, CA $120,000.00-$180,000.00 5 days ago Manager, Software Engineering - Premium Team Mountain View, CA $147,000.00-$240,000.00 1 week ago Manager, Software Engineering, Reliability Mountain View, CA $152,000.00-$248,000.00 2 weeks ago Manager, Software Engineering, Observability Mountain View, CA $147,000.00-$240,000.00 3 weeks ago Palo Alto, CA $205,000.00-$260,000.00 2 weeks ago San Francisco, CA $205,000.00-$260,000.00 2 weeks ago San Francisco, CA $308,000.00-$308,000.00 1 month ago San Francisco County, CA $236,000.00-$295,000.00 3 hours ago Director of Engineering, Product Engineering Oakland, CA $241,000.00-$305,000.00 1 week ago San Jose, CA $207,500.00-$276,700.00 5 days ago Livermore, CA $170,000.00-$188,000.00 3 weeks ago San Francisco, CA $175,000.00-$250,000.00 2 days ago Menlo Park, CA $264,000.00-$342,000.00 2 weeks ago Fremont, CA $160,000.00-$200,000.00 3 weeks ago Sunnyvale, CA $208,000.00-$416,000.00 2 weeks ago Senior Engineering Manager, Core Infrastructure Mountain View, CA $245,000.00-$330,000.00 3 weeks ago San Francisco, CA $210,000.00-$290,000.00 2 months ago Director of Software Engineering (AI Ops) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr