This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Pessoa Technical Customer Success Sênior (StackSpot) based in Brazil.
This role combines deep technical expertise with customer success to drive adoption and long-term value from an advanced engineering platform.
You will lead technical onboarding, discovery, training, workshops, demonstrations, and ongoing customer engagement.
The position requires close collaboration with customers to identify development challenges and prioritize relevant technical use cases.
You will help accelerate time-to-value by creating effective technical journeys and demonstrating tangible value early in the customer lifecycle.
The role also connects customers with product and engineering teams, translating technical feedback into actionable improvements.
You will contribute to scalable playbooks, knowledge resources, adoption metrics, and governance practices.
This is a fully remote opportunity in a collaborative, innovative environment where technical expertise, empathy, and continuous learning are highly valued.
Accountabilities:
- Lead technical onboarding and platform setup, ensuring customer environments are properly configured and ready for use.
- Conduct technical discovery sessions with customers to identify challenges within software development cycles and prioritize relevant use cases.
- Plan and deliver engaging technical training sessions and workshops, adapting communication and content to different audiences.
- Demonstrate technical use cases that clearly illustrate the platform's potential business and engineering value.
- Support adoption expansion through technical presentations and demonstrations, connecting technical capabilities with customer needs and value.
- Build customer engagement and trust by creating smooth, productive onboarding experiences and ongoing technical follow-up journeys.
- Accelerate time-to-value by helping customers reach their technical "Aha Moment" and demonstrate tangible value within the initial stages of adoption.
- Define, monitor, and analyze technical adoption metrics and usage indicators.
- Act as a bridge between customers, product, and engineering teams, translating technical feedback into actionable and prioritizable product improvements.
- Create and continuously improve technical playbooks covering setup, troubleshooting, best practices, and platform usage.
- Maintain and expand technical knowledge resources, including manuals, FAQs, tutorials, and instructional videos for different audiences.
- Test, evaluate, and iterate technical processes in environments characterized by ambiguity and evolving requirements.
- Identify opportunities to improve customer enablement, adoption, governance, and technical processes through continuous experimentation and learning.
Requirements:
- Practical experience setting up enterprise technology platforms and automating integrations.
- Hands-on experience with generative AI tools and AI agents applied to software development.
- Ability to analyze logs, instrument metrics, and interpret product usage data to support customer success decisions.
- Experience facilitating technical training sessions and workshops for audiences with different levels of technical knowledge.
- Experience delivering technical demonstrations and executive-level presentations.
- Previous experience in roles such as Technical Customer Success, Forward Deployed Engineer (FDE), Sales Engineer, Implementation Specialist, or Solution Architect within B2B SaaS or advanced technology environments.
- Strong technical communication skills, with the ability to translate complex concepts into clear and accessible explanations.
- Strong customer orientation, empathy, and the ability to build trusted relationships with technical and business stakeholders.
- Ability to work autonomously, prioritize competing demands, and operate effectively in ambiguous environments.
- Continuous improvement mindset and interest in experimenting with new technical processes and customer enablement approaches.
- Familiarity with DevOps practices, CI/CD, and software engineering platforms is desirable.
- Understanding of processes following code generation, including validation, automation, delivery, observability, and governance, is desirable.
Benefits:
- Fully remote work model, with flexibility to work from different locations.
- Flexible working hours.
- Education assistance.
- Dedicated career development tools and resources.
- Internal guilds, communities, and study or interest groups.
- Health insurance.
- Dental insurance.
- 24/7 telemedicine access.
- Free online therapy.
- Wellhub membership.
- Extended maternity leave.
- Extended paternity leave.
- Employee assistance and support services.
- Meal and food allowance.
- Life insurance.
- Transportation allowance.
- Home office allowance.
- Childcare assistance.
- Mobile phone allowance.
- Profit-sharing program (PLR).
- Opportunities to work with innovative technologies and multidisciplinary teams.
- Collaborative environment focused on technical excellence, learning, and professional development.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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