Senior/Principal Forward Deployed Engineer (AI Products)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Pleasanton, California, USA; additional locations in Atlanta, Georgia, USA; Vancouver, British Columbia, Canada; and Boulder, Colorado, USA. Flex Work requires at least 50% of each quarter in the office or in the field with customers, prospects, or partners, and the role may require travel to customer sites up to 20%.
Annual base salary: $176,000–$264,000 USD in Pleasanton; $148,200–$264,000 USD for additional US locations; $156,000–$234,000 USD if performed in Colorado. The role may also include a bonus or commission and annual refresh stock grants.
Company
is a Fortune 500 company and AI platform for managing people, money, and agents.
What you will do
- Lead customer discovery and define success criteria for early AI agent deployments.
- Serve as the day-to-day lead for design partners and Early Access customers, managing expectations and senior stakeholder relationships.
- Run deployments end to end by implementing, configuring, debugging, and iterating on solutions using direct customer feedback.
- Interpret customer tenant data, configurations, workflows, and agent performance; triage bugs, configuration issues, product gaps, and change-management needs.
- Translate customer feedback into actionable problem statements, reproduction details, and evidence for product and engineering teams.
- Define pre-GA stage gates and graduation scorecards, build deployment playbooks and known-issue guides, and support products through early GA and future releases.
Requirements
- For the Senior level: 7+ years of experience in product management, consulting, solutions engineering, implementation, or customer support within complex enterprise environments.
- For the Principal level: 10+ years of experience in technical product management, solution architecture, forward deployed engineering, enterprise implementation, or principal-level consulting within complex enterprise SaaS ecosystems.
- Principal-level candidates must have experience driving complex AI/ML, automation, or enterprise software deployments at scale with Fortune 500 executive stakeholders.
- Demonstrated entrepreneurial ownership, including building from scratch, working without a playbook, or driving an initiative end to end in an ambiguous environment.
- Experience managing strategic customer relationships with senior leaders, including expectation setting, organizational change, and rebuilding trust after deployment issues.
- Working knowledge of business processes, security and permissions, tenant configuration, integrations, implementation, and governance.
- Willingness and ability to travel up to 20% to customer sites as needed.
Culture & Benefits
- Hands-on, fast-moving, entrepreneurial work on AI agents during the early product lifecycle.
- Close collaboration with product managers, engineering teams, program managers, and Services leads.
- Flex Work combines office and remote flexibility, with at least half of each quarter spent in the office or field.
- Employment may include eligibility for the Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- provides reasonable accommodations during the application process and considers qualified applicants under applicable Fair Chance laws.
Hiring process
- The application deadline is January 11, 2027.
- Applicants should apply through Careers; does not charge recruiting, consulting, or coaching fees.
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