First seen by our source: 7 days ago
AI Outcome Customer Developer, Forward Deployed Development
Toronto, Ontario
SIGNALS
Overview
Google is hiring an AI Outcome Customer Developer in its GTM AI Tech organization to act as enterprise architect, technical debugger and delivery manager for strategic AI accounts. The role spans pre-sales technical evaluation through post-sales execution, with a base salary of CAD 198,000 to 202,000 plus a 20% bonus target and equity. In-person interviews are typically part of hiring.
Responsibilities:
- Shape AI solutions during technical evaluation phases with account teams
- Lead enterprise-grade AI solution architecture and secure integrations
- Debug complex customer implementation issues at code level
- Liaise with Product and development teams on deployment blockers
Requirements summary:
- 7 years of cloud native architecture experience in customer-facing or support roles
- Experience with system design or reading code (Java, C++, Python)
- Experience with AI agent orchestration frameworks
- Experience with enterprise integrations and AI/ML deployments
Tools & skills
Source and dates
Source type not verified · google
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-30
- Source record updated
- 2026-10-30
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Business development |
| Experience | 7+ years |
| Work setting | Office, Client sites |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
Summary and details written by AI from the posting; the employer’s posting is the authority.
| Field | Value |
|---|---|
| Company size | 10001+ |
| Headquarters | Mountain View |
| Open jobs on Jobsy | 69 |
Job description
In most instances, this position requires in-person interviews as part of the hiring process.
Canada: $198000 - $202000 (CAD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
This posting is for a new vacancy.
Google utilizes AI tools to assist in assessing candidates in our hiring processes.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
7 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with technical delivery strategies and interfacing with product or development organizations.
- Experience in either system design or reading code (e.g., Java, C++, Python).
- Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
- Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.
Preferred qualifications:
- Experience into novel technical issues, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions.
- Experience orchestrating specialized technical resources to execute complex builds.
- Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
- Excellent executive communication skills, capable of translating deep technical integration issues into business impact.
Canada: $198000 - $202000 (CAD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
- Partner with account teams and practice Customer Developers (CDs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDD engagement requests.
- Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
- Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
- Serve as the definitive liaison to core Product and developing teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
- Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.
Journal
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