[Remote] Senior Manager, AI Engineering (Agent OS Platform)

Note: The job is a remote job and is open to candidates in USA. ServiceTitan is building the Agent OS for the trades, a shared platform that powers role-specific AI experiences. They are seeking a Senior Engineering Manager to lead a hands-on AI platform team responsible for developing core capabilities of the Agent OS, ensuring high-quality technical decisions and effective team management.ResponsibilitiesLead the team through architecture, implementation, production launch, and fast iterationStay hands-on: review designs and code, inspect traces, debug production behavior, evaluate prototypes, and help engineers make pragmatic tradeoffsTranslate Agent OS strategy into concrete platform slices that ship quickly without creating one-off agent implementationsDefine platform contracts for role shells, capabilities, tools, actions, approvals, context, memory, evidence, and evaluationBuild the distinction between what an agent can do and what it is authorized to do in a given tenant, role, workflow state, and risk contextPartner with Product, Design, Architecture, Security, Data Platform, Atlas, and domain engineering teams to create useful, safe, and measurable agent capabilitiesDrive evaluation as part of everyday engineering: scenario design, regression suites, trace review, simulation, production monitoring, quality gates, and rollout criteriaHelp the team make model and inference tradeoffs across latency, cost, quality, structured outputs, caching, fallback behavior, and provider choicesEnsure live ServiceTitan systems of record remain authoritative while memory, retrieval, transcripts, and agent-generated artifacts are governed as contextual evidenceWork through real agent failures with the team: wrong tool calls, stale context, missing permissions, unsafe actions, poor retrieval, bad recommendations, latency spikes, and cost regressionsHire, coach, and retain strong engineers who can build fast, reason deeply, and operate responsibly in a fast-moving AI environmentSkills8+ years of software engineering experience, including 4+ years leading engineering teams or major technical initiatives in a product or platform organizationStrong 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 behaviorRecent 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 monthsExperience shipping AI, ML, data, platform, infrastructure, workflow, automation, or developer-platform systems in productionPractical understanding of modern LLM application architecture: model gateways, prompt/context assembly, retrieval, tool calling, structured outputs, memory, agent workflows, and human approval patternsStrong instincts for production agent safety: typed tools, scoped permissions, business invariants, precondition checks, approval thresholds, reversible actions, idempotency, audit trails, and rollbackProduction-minded approach to evaluation: scenario design, behavioral evals, regression suites, trace review, simulation, offline/online metrics, and monitoring for non-deterministic systemsStrong engineering judgment across APIs, distributed systems, event-driven systems, data platforms, observability, reliability, security, and multi-tenant SaaS constraintsStrong data and context instincts: SQL, unstructured data, vector search, metadata, provenance, source authority, freshness, and privacy boundariesAbility to turn ambiguous strategy into sequenced roadmaps, measurable outcomes, and clear ownershipClear communication with engineers, product leaders, architects, security partners, and executivesLow-ego coaching style. You raise the technical bar while helping the team move fasterExperience building or operating agent runtimes, workflow engines, evaluation platforms, model gateways, ML platforms, developer platforms, or internal control planesExperience with approval-gated automation, compliance-sensitive workflows, audit trails, policy engines, or governed writes to systems of recordExperience integrating AI systems into complex enterprise products where permissions, tenant boundaries, data freshness, customer trust, and reliability are first-order concernsBackground in SaaS, vertical software, field service, fintech, ERP, CRM, marketplace, operations, or other domains where software decisions affect real-world business outcomesBenefitsFlextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.Holistic health and wellness 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.Support for Titans at all stages of life: 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, and more.Company OverviewServiceTitan is a software solution that manages operations for businesses in the home service industry, including scheduling and invoicing. It was founded in 2007, and is headquartered in Glendale, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.servicetitan.com.Company H1B SponsorshipServiceTitan has a track record of offering H1B sponsorships, with 13 in 2026, 54 in 2025, 49 in 2024, 45 in 2023, 73 in 2022, 64 in 2021, 29 in 2020. Please note that this does not guarantee sponsorship for this specific role.