Description review

Customer Success & Implementation Support Specialist (AI Solutions)

Sigma Software · Brazil · back to the listing

HR standards

58/100

needs work

Title ↔ description

75/100

solid

Reads as

Customer Success Manager

89% confident

What this role officially is

client relations manager — ESCO, the EU occupation classification

Client relations managers act as the middle person between a company and its customers. They ensure that the customers are satisfied by providing them with guidance and explanation on their accounts and services received by the company. They also have possible other tasks such as developing plans or delivering proposals.

Also known as: customer service executive, client service manager, client relationship manager, customer service representative, consumer relations manager, client manager

How others title the same work

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Startups

  • Manager / Director of Customer Success Craniometrix
  • Founding GTM - Deployment Strategist Credal.ai
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  • Founding Customer Success Manager Clicks Health
  • Founding Deployment Strategist Closure

What the listing never says

  • 32 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

• Serve as a primary point of contact for Customer operational and configuration requests

• Support implementations and deployments from initiation through production launch

• Manage Customer requests related to pricing updates, workflow modifications, offer configuration, and content updates

• Coordinate activities across Customer Success, Data Science, Data Engineering, and Software Engineering teams

• Track implementation progress and help ensure timely completion of project milestones

• Facilitate communication between internal stakeholders and Customer representatives

• Gather, document, and maintain requirements, deployment activities, and operational changes

• Assist with issue investigation, troubleshooting, escalation management, and resolution tracking

• Participate in testing, validation, and quality assurance activities before releases and deployments

• Help improve operational processes and maintain high standards of Customer support and service delivery

• Ensure accurate documentation and transparency of ongoing operational activities

• 1–3 years of experience in Customer support, implementation support, project coordination, Customer Success, technical operations, or related roles

• Strong organizational and multitasking skills with the ability to manage multiple priorities simultaneously

• Excellent written and verbal communication skills

• Experience communicating directly with Customers in a professional environment

• Ability to collaborate effectively with technical and non-technical stakeholders

• Strong attention to detail and problem-solving skills

• Comfortable working with software platforms, web applications, and technical documentation

• Ability to gather business requirements and translate them into actionable tasks

• Understanding of operational support and deployment coordination processes

• Upper-Intermediate or higher level of English

WILL BE A PLUS

• Experience supporting SaaS platforms or enterprise software implementations

• Familiarity with CRM, ticketing, or project management tools such as Salesforce, Jira, Zendesk, or Asana

• Basic understanding of APIs, software deployment processes, and data integrations

• Knowledge of telecommunications, subscription-based services, or Customer acquisition workflows

• Exposure to AI, machine learning, recommendation systems, or analytics-driven platforms

PERSONAL PROFILE

• Strong communicator with a Customer-oriented mindset

• Well-organized and detail-oriented

• Proactive and capable of working independently

• Collaborative team player able to work across distributed teams

• Adaptable to dynamic project environments and changing priorities

• Responsible and process-oriented with strong follow-through skills

We at Sigma Software are looking for a Junior/Middle Customer Success & Implementation Support Specialist to join our growing international team remotely from Latin America.

In this role, you will collaborate with Customer Success, Data Science, Data Engineering, and Software Engineering teams while supporting the deployment and day-to-day operation of AI-powered customer engagement solutions. You will help Customers maximize the value of modern technology platforms through efficient coordination, operational support, and responsive communication.

As a company, we offer the opportunity to work in a collaborative international environment, gain exposure to AI-driven products, and contribute to scalable delivery processes for global Customers.

CUSTOMER
Our client is a US-based company specializing in AI-driven customer acquisition and sales optimization solutions for telecommunications and consumer service providers. The company helps enterprises improve sales performance, customer engagement, and operational efficiency through machine learning, recommendation engines, and advanced analytics.

PROJECT
The project focuses on supporting the implementation, configuration, and operational maintenance of AI-powered customer engagement solutions used by telecommunications and consumer service providers. The role acts as a key coordination point between Customer Success, Data Science, Data Engineering, and Software Engineering teams to ensure smooth deployments, effective communication, and high-quality operational support.

The position combines customer communication, implementation coordination, operational support, and configuration management in a fast-paced international environment.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 12 points (from 70 before penalties). Reviewed 21 Sep 2026.