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About the role
Identify and prioritize AI opportunities across sales, marketing, renewals, channels, services, and support, then build and ship suitable agents, integrations, and automated workflows. Establish evaluations and governance, drive adoption through training, and measure business outcomes such as time saved, cycle time, case resolution, and pipeline quality.
What they look for
Requirements
Requires 7+ years of relevant experience, including 2+ years personally building and shipping AI agents or automations, plus hands-on development with AI coding assistants, APIs, and enterprise data. Candidates should understand B2B sales and GTM processes, have experience with Salesforce and related tools, communicate effectively across business and technical teams, and hold a bachelor's degree or equivalent practical experience.
Full description
AI Product Manager Expert
Requirements
Must have
- 7+ years in software development, product management, Revenue Operations, Sales, Marketing or
Support Operations or business systems
- 2+ years building and shipping AI agents and automations yourself with tools such as Glean, Claude,
ChatGPT, Gemini or AWS Bedrock
- Hands-on development with AI coding assistants such as Claude Code, including APIs, integrations and
enterprise data
- Working knowledge of prompt and context engineering, retrieval-augmented generation (RAG), tool
use and AI evaluation
- Strong understanding of B2B sales, renewals and channels, and how deals move through to delivery,
support and renewal
- Hands-on experience with Salesforce and GTM tools such as Gong, Clari, CPQ, PSA, Service Cloud or
Marketo
- Ability to earn trust with sellers, engineers and GTM leaders, and to explain AI in clear business terms
- Bachelor's degree or equivalent practical experienc
Responsibilities
- Partner with leaders across Worldwide Field Operations (Sales, Sales Architects and Engineers,
Renewals, Channels, Revenue Operations, Professional Services and Customer Support), Marketing and
Product to find AI opportunities and define the problem, the users and how success will be measured
- Map GTM processes end to end, such as lead-to-cash, renewals, partner deal registration, issue-toresolution and feedback-to-roadmap, to find where AI can remove steps and manual effort
- Own the AI backlog for GTM, ranking requests by business value, effort, risk and strategic fit
- Triage each request and decide which type of solution will work: a custom AI agent, a low-code or nocode build, AI built into a SaaS application such as Salesforce, Gong or Marketo or a workflow
automation
- Build solutions for account research, meeting prep, pipeline and forecasting, renewals, partner
enablement, RFP response, case triage, campaign and content operations and product feedback
- Build and ship AI agents, Claude Projects and automated workflows yourself, from first prototype
through to production
- Write requirements for each solution, then develop it yourself with AI coding assistants such as Claude
Code, including APIs and integrations
- Set up evaluations for accuracy, tone, customer impact and human review and apply AI governance,
security and privacy standards with Security, Legal and Enterprise Architecture
- Drive adoption with training and enablement, and track seller time saved, cycle time, case resolution
time and pipeline quality to set future priorities
Required Languages
English – Fluent (96–100%)
Location
México or India
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