Servicetitan

Senior Manager, AI Engineering (Agent OS Platform)

US Remote · Senior

Sponsorship not specifiedDetected 30 days ago

Distributed SystemsSQLPlatform EngineeringMachine LearningLLMsAgentic AICRMERPRecruitingOnboardingResearchLeadershipCommunicationMentoring

About the role

Agent OS is the runtime, context, memory, action, trust, and evaluation layer that lets AI agents help contractors run their businesses safely, observably, and at enterprise scale.
This is not a pure people-management, AI strategy, or research leadership role.
We need someone who can earn credibility with senior engineers by improving the technical work, not just coordinating it.

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.
Build the distinction between what an agent can do and what it is authorized to do in a given tenant, role, workflow state, and risk context.
Partner with Product, Design, Architecture, Security, Data Platform, Atlas, and domain engineering teams to create useful, safe, and measurable agent capabilities.
Hire, coach, and retain strong engineers who can build fast, reason deeply, and operate responsibly in a fast-moving AI environment.
Production-minded approach to evaluation: scenario design, behavioral evals, regression suites, trace review, simulation, offline/online metrics, and monitoring for non-deterministic systems.
Clear communication with engineers, product leaders, architects, security partners, and executives.
Experience building or operating agent runtimes, workflow engines, evaluation platforms, model gateways, ML platforms, developer platforms, or internal control planes.
Here's how we'll support you in doing some of the most impactful work of your career:

We do expect strong engineering judgment, production scars, hands-on curiosity, and the ability to learn fast while making high-quality technical decisions.
Experience shipping AI, ML, data, platform, infrastructure, workflow, automation, or developer-platform systems in production.
So, if you have the skills but are hesitant to apply because of your background, apply anyway.

Ability to turn ambiguous strategy into sequenced roadmaps, measurable outcomes, and clear ownership.
Low-ego coaching style.
You raise the technical bar while helping the team move faster.
Experience with approval-gated automation, compliance-sensitive workflows, audit trails, policy engines, or governed writes to systems of record.
Experience integrating AI systems into complex enterprise products where permissions, tenant boundaries, data freshness, customer trust, and reliability are first-order concerns.
Background in SaaS, vertical software, field service, fintech, ERP, CRM, marketplace, operations, or other domains where software decisions affect real-world business outcomes.
Candidates based in Pacific Time or able to work significant Pacific Time overlap are highly preferred.
Preferred Experience

Translate Agent OS strategy into concrete platform slices that ship quickly without creating one-off agent implementations.
AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.

Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career.
In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.
Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.

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. You may not write production code every day, but you can read code, review implementation plans, reason through distributed systems, and debug real behavior.
Drive evaluation as part of everyday engineering: scenario design, regression suites, trace review, simulation, production monitoring, quality gates, and rollout criteria.
We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events.
At ServiceTitan, we celebrate individuality and uniqueness.

This listing is sourced directly from Servicetitan's careers page and normalized into a canonical job model.