Senior Manager, AI Engineering (Agent OS Platform)

Accountabilities:

• Lead the design and delivery of the Agent OS platform, including agent runtime, workflow execution, planning, tool use, long-running processes, and failure recovery mechanisms that support reliable AI behavior at scale.

• Build and evolve context and memory systems, including retrieval pipelines, tenant-aware memory, provenance tracking, and replayable evidence structures for agent decision-making.

• Define and implement the capability platform that standardizes reusable agent functionalities, including tools, prompts, policies, evaluation frameworks, and rollout controls.

• Develop the action and trust layer ensuring secure, governed, and auditable execution of agent actions with approvals, permissions, idempotency, and rollback capabilities.

• Drive evaluation and observability systems, including offline/online testing, simulation environments, regression detection, telemetry, and quality gates for AI behavior.

• Partner closely with cross-functional teams to integrate AI agents into enterprise systems while ensuring safety, reliability, and compliance with business rules and data governance standards.

• Guide architectural decisions and hands-on engineering work, including code reviews, debugging production issues, system design, and technical tradeoffs in model usage, latency, and cost optimization.

• Mentor and develop engineers while fostering a culture of technical excellence, ownership, and fast, high-quality delivery in a rapidly evolving AI environment.

Requirements:

• 8+ years of software engineering experience with at least 4+ years in engineering leadership roles or major technical ownership responsibilities.

• Strong hands-on engineering background with the ability to review code, debug distributed systems, and evaluate system behavior in production environments.

• Proven experience building or shipping AI, ML, platform, infrastructure, workflow automation, or developer platform systems in production.

• Deep understanding of modern LLM-based architectures, including prompt orchestration, tool calling, retrieval-augmented generation, memory systems, and agent workflows.

• Strong expertise in distributed systems, event-driven architectures, SaaS platforms, observability, and multi-tenant system design.

• Experience with production AI safety mechanisms such as permissioning, approvals, audit logs, structured tool execution, and failure handling.

• Strong evaluation mindset, including experience designing test scenarios, regression suites, simulation environments, and monitoring non-deterministic systems.

• Solid data intuition across structured and unstructured data, including SQL, vector search, metadata, and data provenance concepts.

• Excellent communication and leadership skills with the ability to align engineering, product, security, and executive stakeholders.

• Ability to operate effectively in ambiguous environments and translate strategy into clear technical execution plans.

Benefits:

• Competitive compensation with base salary range of approximately $223,600 – $299,100 USD, plus annual bonus and equity opportunities.

• Comprehensive healthcare coverage including medical, dental, and vision, with strong employer-paid contributions.

• Flexible time off policy and support for autonomous, high-impact work.

• Retirement benefits including 401(k) matching.

• Parental leave and extensive family support programs, including fertility, adoption, and surrogacy assistance.

• Wellness and mental health resources, including telehealth services and employee assistance programs.

• Learning and development opportunities, leadership training, and career growth programs.

• Additional perks such as financial planning tools, legal support services, pet insurance, and employee recognition programs.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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