We are looking for a Product Manager to join our team.

This role is a great fit for someone who enjoys bringing structure and intelligence to go-to-market operations through practical technology solutions.

You'll collaborate across sales, marketing, and customer-facing functions to identify friction points and turn them into tools that accelerate business outcomes.

If you're energized by hands-on building paired with cross-functional influence, this position offers a strong opportunity to shape how AI transforms the GTM experience

Responsibilities

Collaborate with Worldwide Field Operations (Sales, Sales Architects and Engineers, Renewals, Channels, Rev

Ops, Professional Services, Customer Support), Marketing, and Product teams to uncover AI opportunities and clearly define the problem, target users, and success measures

Map GTM processes end to end, including lead-to-cash, renewals, partner deal registration, issue-to-resolution, and feedback-to-roadmap, to eliminate unnecessary steps and reduce manual effort

Own and prioritize the AI backlog for GTM, ranking requests based on business value, required effort, risk, and strategic fit

Triage incoming requests to determine the right approach, whether a custom AI agent, low-/no-code build, AI embedded within SaaS platforms such as Salesforce, Gong, or Marketo, or workflow automation

Develop solutions covering account research, meeting preparation, pipeline and forecasting, renewals, partner enablement, RFP response, case triage, campaign and content operations, and product feedback

Personally build and deploy AI agents, Claude Projects, and automated workflows, taking them from initial prototype through to full production

Write clear requirements, then build solutions using AI coding assistants such as Claude Code,



including related APIs and integrations

Establish evaluation processes covering accuracy, tone, customer impact, and human review, applying AI governance, security, and privacy standards in partnership with Security, Legal, and Enterprise Architecture

Drive adoption through training and enablement efforts, while tracking seller time saved, cycle time, case resolution time, and pipeline quality

RequirementsA minimum of 5 years of relevant experience in software development, product management, Rev

Ops, Sales, Marketing, Support Ops, or business systems

At least 2 years in Senior, Lead, Manager, or Owner-level roles

Proven track record managing engagements for teams of 5 or more full-time employees

Direct experience building and deploying AI agents and automations using tools such as Glean, Claude, ChatGPT, Gemini, or AWS Bedrock

Hands-on development experience with AI coding assistants like Claude Code, including working with APIs, integrations, and enterprise data

Working knowledge of prompt and context engineering, RAG, tool use, and AI evaluation methods

Strong understanding of B2B sales, renewals, and channels, along with how deals progress through delivery, support, and renewal stages

Practical experience with Salesforce and GTM tools such as Gong, Clari, CPQ, PSA, Service Cloud, and Marketo

Ability to build trust with sellers, engineers, and GTM leaders, communicating AI concepts clearly in business terms





Fluent English communication skills at a B2 level or higher

Nice to have

Familiarity with AI governance principles to support responsible and compliant AI adoption

Experience with AWS Bedrock for building and scaling generative AI solutions

Background working with Adobe Marketo Engage for marketing automation and campaign management

Experience with agentic automation low-code platforms to accelerate solution delivery

Background designing and implementing agentic workflows for complex GTM processes

Hands-on experience with Anthropic Claude for AI-driven solution development

Background in business process analysis to identify inefficiencies and improvement opportunities

Knowledge of context engineering techniques to improve AI model performance and relevance

Familiarity with Glean for enterprise search and knowledge discovery

Working knowledge of the Model Context Protocol (MCP) and its role in AI integrations

Experience with Salesforce CPQ for configuring, pricing, and quoting workflows

Familiarity with Salesforce Service Cloud for supporting customer service operations

Relevant certification, which would be considered a valuable addition to your qualifications

We offer

International projects with top brands

Work with general teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the Linked

In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

📌 Product Manager (Argentina)
🏢 EPAM Systems
📍 Argentina