The operating system for the trades
Senior Manager, AI Engineering – Agent OS Platform
Location
United States
Posted
81 days ago
Salary
$223.6K - $299.1K / year
Seniority
Senior
Job Description
Senior Manager, AI Engineering – Agent OS Platform
ServiceTitan
• Lead the team through architecture, implementation, production launch, and fast iteration. • Stay hands-on: review designs and code, inspect traces, debug production behavior, evaluate prototypes, and help engineers make pragmatic tradeoffs. • Translate Agent OS strategy into concrete platform slices that ship quickly without creating one-off agent implementations. • Define platform contracts for role shells, capabilities, tools, actions, approvals, context, memory, evidence, and evaluation. • Drive evaluation as part of everyday engineering: scenario design, regression suites, trace review, simulation, production monitoring, quality gates, and rollout criteria. • Hire, coach, and retain strong engineers who can build fast, reason deeply, and operate responsibly in a fast-moving AI environment.
Job Requirements
- 8+ years of software engineering experience, including 4+ years leading engineering teams or major technical initiatives in a product or platform organization.
- Strong technical background as a builder.
- Recent hands-on technical leadership: you have personally reviewed design docs, read implementation details, inspected production traces/logs, or debugged system behavior in the last 6–12 months.
- Experience shipping AI, ML, data, platform, infrastructure, workflow, automation, or developer-platform systems in production.
- Practical understanding of modern LLM application architecture: model gateways, prompt/context assembly, retrieval, tool calling, structured outputs, memory, agent workflows, and human approval patterns.
- Strong instincts for production agent safety: typed tools, scoped permissions, business invariants, precondition checks, approval thresholds, reversible actions, idempotency, audit trails, and rollback.
- Production-minded approach to evaluation: scenario design, behavioral evals, regression suites, trace review, simulation, offline/online metrics, and monitoring for non-deterministic systems.
- Strong engineering judgment across APIs, distributed systems, event-driven systems, data platforms, observability, reliability, security, and multi-tenant SaaS constraints.
- Strong data and context instincts: SQL, unstructured data, vector search, metadata, provenance, source authority, freshness, and privacy boundaries.
- Ability to turn ambiguous strategy into sequenced roadmaps, measurable outcomes, and clear ownership.
- Clear communication with engineers, product leaders, architects, security partners, and executives.
- Low-ego coaching style.
Benefits
- Flexible time off with ample learning and development opportunities to continue growing your career.
- Comprehensive onboarding program.
- Leadership training for Titans at all levels.
- Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents).
- FSA and HSA.
- 401k match.
- Telehealth options including memberships to One Medical.
- Parental leave and support.
- Up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement.
- On demand maternity support through Maven Maternity.
- Free breast milk shipping through Maven Milk.
- Pet insurance.
- Legal advisory services.
- Financial planning tools.
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