Product Manager

Jamefy; Brasil; Remote; BRL 320,000 - 480,000; Full time

Benefits offered by this job

Healthcare benefits

LinkedIn Learning access

Paid time off

Career development programs

Job summary

EPAM is seeking a Product Manager to apply structure and smart tech to GTM workflows across sales, marketing, and customer-facing teams. You will spot friction, prioritise AI opportunities, and shape tools that accelerate business results in a cross‑functional environment.

You will own the AI backlog, drive production‑level AI agents, and collaborate with Security, Legal, and EA teams to ensure responsible use. English required.

Qualifications

• Minimum 5 years of experience in software development, product management, RevOps, Sales, Marketing, or related roles.
• At least 2 years in Senior/Lead/Manager/Owner level capacities.
• Hands-on experience building and launching AI agents and automations.
• Experience with AI coding assistants and APIs/integrations.
• Solid understanding of B2B sales, renewals, and channel dynamics.

Responsibilities

• Partner with sales, marketing, and customer-facing groups to identify AI opportunities and define success metrics.
• Trace GTM workflows end-to-end to reduce steps and manual effort.
• Own the GTM AI backlog, prioritizing by value, effort, risk, and strategic relevance.
• Determine best approach for requests: custom AI, low/no-code, or SaaS integration.
• Build solutions spanning research, meeting prep, pipeline forecasting, renewals, and content operations.
• Lead development and rollout of AI agents and Claude Projects from prototype to production.
• Draft requirements and translate them into working solutions using Claude Code and APIs.
• Create evaluation frameworks addressing accuracy, tone, and impact with governance and security oversight.
• Drive adoption through enablement and training while tracking time saved and pipeline quality.

Job description

We're seeking a Product Manager to come join our team. This position is ideal for someone who takes pleasure in applying structure and smart technology to improve how go\-to\-market functions operate. You'll partner across sales, marketing, and customer\-facing groups to spot points of friction and reshape them into tools that speed up business results. For anyone motivated by a blend of direct, practical development and broad cross\-team impact, this role offers a genuine opportunity to influence how AI reshapes the GTM landscape

Responsibilities

• Team up with Worldwide Field Operations (Sales, Sales Architects and Engineers, Renewals, Channels, RevOps, Professional Services, Customer Support), along with Marketing and Product groups, to pinpoint AI opportunities and establish a clear problem statement, target audience, and success benchmarks
• Trace GTM workflows from start to finish, covering lead\-to\-cash, renewals, partner deal registration, issue\-to\-resolution, and feedback\-to\-roadmap, aiming to cut out extra steps and manual effort
• Take charge of the GTM AI backlog, sequencing requests by weighing business value, effort required, risk, and strategic relevance
• Sort through incoming requests to determine the best path, whether that's a custom\-built AI agent, a low\-/no\-code solution, AI integrated within SaaS tools like Salesforce, Gong, or Marketo, or standard workflow automation
• Build out solutions spanning account research, meeting preparation, pipeline and forecasting, renewals, partner enablement, RFP response, case triage, campaign and content operations, and product feedback handling
• Take personal ownership of building and rolling out AI agents, Claude Projects, and automated workflows, guiding them from early prototype through to live production
• Draft well\-structured requirements, then turn them into working solutions using AI coding assistants such as Claude Code, covering any necessary APIs and integrations
• Build out evaluation frameworks addressing accuracy, tone, customer impact, and human oversight, applying governance, security, and privacy standards alongside Security, Legal, and Enterprise Architecture teams
• Push adoption forward through enablement and training initiatives, while keeping track of seller time saved, cycle time, case resolution time, and pipeline quality

Requirements

• At least 5 years of applicable background in software development, product management, RevOps, Sales, Marketing, Support Ops, or business systems
• A minimum of 2 years spent in Senior, Lead, Manager, or Owner\-level capacities
• Demonstrated history managing engagements for teams of 5 or more full\-time staff
• Hands‑on background constructing and launching AI agents and automations using tools such as Glean, Claude, ChatGPT, Gemini, or AWS Bedrock
• Practical development experience leveraging AI coding assistants like Claude Code, including exposure to APIs, integrations, and enterprise\-level data
• Familiarity with prompt and context engineering, RAG, tool use, and approaches to AI evaluation
• Solid grasp of B2B sales, renewals, and channel dynamics, along with how deals transition into delivery, support, and renewal phases
• Direct experience with Salesforce and GTM tools such as Gong, Clari, CPQ, PSA, Service Cloud, and Marketo
• Capability to build credibility with sellers, engineers, and GTM leadership, translating AI concepts into clear business language
• Fluent English communication skills at a B2 level or higher

Nice to have

• Working knowledge of AI governance frameworks supporting responsible, compliant AI use
• Background applying AWS Bedrock toward building and scaling generative AI solutions
• Experience with Adobe Marketo Engage for supporting marketing automation and campaign efforts
• Background with low\-code platforms built for agentic automation to speed up solution delivery
• Experience designing and rolling out agentic workflows for complex GTM\-related processes
• Direct experience working with Anthropic Claude to support AI solution development
• Experience conducting business process analysis to uncover inefficiencies and improvement areas
• Familiarity with context engineering methods that enhance AI model relevance and accuracy
• Knowledge of Glean for supporting enterprise search and knowledge discovery
• Familiarity with the Model Context Protocol (MCP) and its role within AI integration work
• Background using Salesforce CPQ for managing configuration, pricing, and quoting processes
• Knowledge of 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 global 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 LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.