Senior Customer Success Engineer – AI SaaS Solutions & Technical Support (Remote, Contract)

About brighthush

brighthush is a trailblazing platform that bridges the gap between top-tier creative talent and cutting‑edge AI research labs. Headquartered in the heart of San Francisco, we empower innovators to build the next generation of AI products while providing our clients with unparalleled support and expertise. Our mission is simple: accelerate the adoption of AI by delivering world‑class customer success and technical enablement. With a vibrant community of engineers, designers, and data scientists, brighthush is where ideas transform into reality.

Why Join brighthush?

At brighthush, you’ll be part of a fast‑moving, high‑impact team that thrives on curiosity, collaboration, and continuous learning. We’re backed by a portfolio of visionary investors who believe in the transformative power of AI. As a Customer Success Engineer, you’ll be the linchpin between our clients and the technology that powers their success. Your work will directly influence product evolution, customer satisfaction, and the future of AI applications.

Position Overview

Role: Customer Success Engineer – AI SaaS (LatAm) Type: Contract Compensation: $35,000–$50,000 (based on experience) Location: Remote (with substantial overlap with Pacific Time) Commitment: Full‑time equivalent, flexible hours within PT/PST window

Key Responsibilities

• End‑to‑End Issue Resolution: Investigate, reproduce, and resolve customer‑reported issues across our AI and SaaS stack. Distinguish between UX friction, model edge cases, and system defects to provide precise solutions.
• Advanced Debugging: Leverage telemetry, logs, network inspection, and database queries to diagnose production behavior. Work with modern web technologies such as React, Node, Flask, and Next.js.
• Triage & Escalation: Apply sound judgment to determine which issues can be resolved through configuration or user guidance and which require escalation to engineering.
• Pattern Recognition: Identify systemic patterns and product risks, and communicate findings to engineering and product leadership to drive proactive improvements.
• Documentation & Runbooks: Create clear, actionable documentation and runbooks that reduce repeat incidents and accelerate resolution times.
• Customer Communication: Engage with clients using precision, professionalism, and empathy. Translate technical concepts into business‑relevant language.
• Continuous Improvement: Participate in retrospectives, post‑mortems, and feature reviews to refine support processes and product quality.

Essential Qualifications

• Technical Debugging Proficiency: Demonstrated ability to debug complex web applications and AI services.
• Educational Background: Degree in Computer Science, Software Engineering, or a related technical field from a top‑tier institution, or equivalent experience at a high‑growth technology startup.
• Web Development Experience: Hands‑on experience building modern web applications using React, Node, Flask, Next.js, or similar frameworks.
• Customer Support Experience: 2–5 years of supporting customers on web‑based applications, with a track record of delivering high‑quality service.
• AI Systems Familiarity: Comfortable working with AI systems, including large language models (LLMs), agents, and generative models.
• AI Tool Exploration: Experience exploring AI tool behavior—fine‑tuning, prompt chains, chain‑of‑thought debugging, or building agents.
• Model Insight: Ability to understand model outputs, failure modes, hallucinations, and feedback loops, and translate these insights into actionable guidance for users.

Preferred Qualifications

• Familiarity with how modern AI APIs work (brighthush, brighthush, etc.) or how agent frameworks (brighthush, brighthush, etc.) function.
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
• Knowledge of data privacy regulations (GDPR, CCPA) and best practices for secure AI deployment.
• Proficiency in scripting languages (Python, Bash) and database querying (SQL, NoSQL).

Skills & Competencies

• Technical Aptitude: Strong analytical skills, deep understanding of web technologies, and a passion for AI.
• Problem‑Solving: Ability to dissect complex issues, identify root causes, and devise elegant solutions.
• Communication: Excellent written and verbal communication, with the ability to explain technical concepts to non‑technical stakeholders.
• Empathy & Customer Focus: A genuine desire to help customers succeed and a knack for turning challenges into opportunities.
• Collaboration: Comfortable working cross‑functionally with engineering, product, and sales teams.
• Adaptability: Thrive in a fast‑paced, evolving environment where priorities shift quickly.

Career Growth & Learning Opportunities

At brighthush, we believe in investing in our people. As a Customer Success Engineer, you’ll have access to:

• Mentorship from senior engineers and product leaders.
• Regular training sessions on the latest AI research, cloud technologies, and customer success best practices.
• Opportunities to contribute to product roadmaps and feature development.
• Pathways to senior technical roles, product management, or AI research positions.
• Participation in industry conferences, hackathons, and internal innovation challenges.

Work Environment & Culture

brighthush fosters a culture of transparency, inclusivity, and continuous improvement. Our remote-first approach means you can work from anywhere while staying connected through weekly stand‑ups, virtual coffee chats, and collaborative tools. We celebrate diversity, encourage experimentation, and reward results. Whether you’re troubleshooting a complex AI issue or brainstorming a new feature, you’ll find a supportive community that values your contributions.

Compensation, Perks & Benefits

While the base compensation for this contract role ranges from $35,000 to $50,000, we also offer:

• Performance‑based bonuses tied to customer satisfaction metrics.
• Flexible working hours within the Pacific Time zone.
• Access to a curated library of AI research papers, online courses, and industry events.
• Health and wellness stipend (remote employees).
• Equity options for long‑term contributors (subject to eligibility).
• Annual team retreats and virtual team‑building activities.

Application Process

The application process is designed to be quick and insightful, taking approximately 20–30 minutes to complete.

• Upload Resume: Highlight your technical background, customer success experience, and AI projects.
• AI Interview: A brief AI‑driven interview that assesses your problem‑solving approach and communication skills.
• Submit Form: Complete the final application form with any additional details.

Note: Our hiring team reviews applications daily. Please ensure you complete all steps to be considered for this opportunity.

Resources & Support

• For details about the interview process and platform information, visit brighthush.com.
• For any help or support, reach out to [email protected].

Join brighthush Today

If you’re passionate about AI, love solving complex problems, and want to make a tangible impact on customers’ success, we want to hear from you. Apply now and become a key player in shaping the future of AI SaaS solutions at brighthush.