Senior Manager, AI Engineering – Agent OS Platform

🕒 May 8

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $223.6k - $358.9k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 55%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ServiceTitan

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💼 Consulting

📦 Logistics

📣 Marketing

💰 $200M Series G on 2021-06

Consulting • Logistics • Marketing

ServiceTitan is a comprehensive software platform designed for the trades industry, providing solutions to enhance productivity and profitability for businesses. It offers a variety of features including dispatching, scheduling, marketing, reporting, and customer experience tools, tailored for trades like plumbing, HVAC, electrical services, and more. ServiceTitan seeks to empower businesses by optimizing operations, improving cash flow, and delivering superior customer experiences through an all-in-one platform. The software includes real-time data analytics, financing options, and mobile capabilities to support the operational needs of contractors and increase their revenue streams. By consolidating multiple business functions into a single platform, ServiceTitan aims to help contractors grow profitably and efficiently.

📋 Description

• Lead a compact AI platform engineering team building foundational Agent OS capabilities • Lead architecture, implementation, production launch, and fast iteration • Review designs and code, inspect traces, debug production behavior, evaluate prototypes, and guide technical tradeoffs • Translate Agent OS strategy into concrete platform slices that ship quickly • Define platform contracts for role shells, capabilities, tools, actions, approvals, context, memory, evidence, and evaluation • Establish authorization boundaries across tenants, roles, workflow states, and risk contexts • Partner with Product, Design, Architecture, Security, Data Platform, Atlas, and domain engineering teams • Drive evaluation through scenario design, regression suites, trace review, simulation, production monitoring, quality gates, and rollout criteria • Guide model and inference tradeoffs involving latency, cost, quality, structured outputs, caching, fallback behavior, and provider choices • Ensure ServiceTitan systems of record remain authoritative while contextual evidence is governed • Investigate agent failures including wrong tool calls, stale context, missing permissions, unsafe actions, poor retrieval, bad recommendations, latency spikes, and cost regressions • Hire, coach, and retain strong engineers • Build and ship shared Agent OS primitives for product teams

🎯 Requirements

• 12+ years of software engineering experience • 4+ years leading engineering teams or major technical initiatives in a product or platform organization • Strong technical background as a builder • Ability to read code, review implementation plans, reason through distributed systems, and debug real behavior • Recent hands-on technical leadership within 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, including model gateways, prompt/context assembly, retrieval, tool calling, structured outputs, memory, agent workflows, and human approval patterns • Understanding of production agent safety, including typed tools, scoped permissions, business invariants, precondition checks, approval thresholds, reversible actions, idempotency, audit trails, and rollback • Production-minded approach to evaluation, including 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 knowledge, including 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 • Preferred: experience building or operating agent runtimes, workflow engines, evaluation platforms, model gateways, ML platforms, developer platforms, or internal control planes • Preferred: experience with approval-gated automation, compliance-sensitive workflows, audit trails, policy engines, or governed writes to systems of record • Preferred: experience integrating AI systems into complex enterprise products • Preferred: background in SaaS, vertical software, field service, fintech, ERP, CRM, marketplace, operations, or related domains

🏖️ Benefits

• Flexible time off • Learning and development opportunities • Comprehensive onboarding program • Leadership training • Programs and events • Bonusly and peer-nominated awards • Company-paid medical, dental, and vision • 100% employer-paid options and 90% coverage for dependents • FSA and HSA • 401k match • Telehealth options including One Medical memberships • Parental leave and support • Up to $20k in fertility services, including 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 • Annual bonus • Equity