TechTree
Technical Customer Support Specialist
TechTree, San Francisco, California, United States, 94199
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Technical Customer Support Specialist
role at
TechTree .
This range is provided by TechTree. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $50,000.00/yr - $85,000.00/yr
About the Role Provide technical support for AI audio platform, troubleshoot APIs, integrations, telephony issues, and translate findings for customers and teams in a fast‑paced startup environment.
We are looking for a highly technical Technical Customer Support Specialist who can independently troubleshoot complex issues across APIs, integrations, and our broader AI audio platform. This person should be comfortable working in a fast‑moving startup with minimal handholding, quickly understanding new features and systems, and adapting to constant change.
The ideal candidate has a strong background in technical support within SaaS or high‑growth tech environments, is deeply comfortable with troubleshooting API‑related issues, and can read and reason about code. They should also have a strong interest in AI and audio, and be able to translate complex technical findings into clear, concise explanations for both customers and internal teams.
Core Profile
2–3 years in technical customer support (SaaS / high‑growth tech; B2B/enterprise preferred)
Strong technical troubleshooting background; prioritizes technical depth over generic support skills
Proven ability to ramp quickly with minimal onboarding and operate effectively in ambiguity
Thrives in a fast‑paced, changing startup environment with limited process and documentation
Technical Skills
APIs & Integration: Confident troubleshooting REST APIs, HTTP requests/responses, auth, webhooks, and integration flows
Comfortable debugging browser/network errors and client‑side issues
GCP & Data: Hands‑on experience with GCP tools—especially GCP Logs
Solid understanding of SQL for querying, investigating, and validating data in logs
Code & Debugging: Able to read and troubleshoot code, especially Python
Exposure to JavaScript/Node.js/React is a strong plus
Can reason about logs, stack traces, and error messages to isolate root causes
AI & Audio
Strong interest in AI; familiarity with LLM concepts (prompting, hallucinations, common failure modes)
Basic understanding of how AI models are used in production workflows
Interest or experience in audio technology or media processing is a plus
Bonus: prior use of AI audio tools
Ways of Working
Highly autonomous: manages own workload, priorities, and learning without close supervision
Fast learner: picks up new concepts, tools, and features quickly with limited context or training
Adaptable: comfortable when features ship/break without advance notice; adjusts workflows on the fly
Proactive: identifies patterns, raises product issues, and improves internal docs/knowledge base
Soft Skills
Clear communicator (especially in writing): can turn complex technical issues into straightforward explanations
Detail‑oriented: careful in analysis, documentation, and customer‑facing responses
Collaborative: works well with product/engineering and a distributed, international team
Driven and accountable: maintains a high bar for quality and follows through end‑to‑end on issues
Requirements
2–3 years in technical customer support (SaaS / high‑growth tech; B2B/enterprise preferred)
Strong technical troubleshooting background
Proven ability to ramp quickly with minimal onboarding
Operate effectively in ambiguity
Interest in AI and audio
Background in troubleshooting telephony‑related issues using AI integrations, SIP, Twilio, or other tools and platforms
Required Skills
APIs & Integration
Troubleshooting REST APIs
HTTP requests/responses
Auth
Webhooks
Integration flows
Debugging browser/network errors
Client‑side issues
GCP tools
GCP Logs
SQL
Reading and troubleshooting code
Python
JavaScript/Node.js/React
Reasoning about logs
Stack traces
Error messages
AI concepts
LLM concepts
AI models in production workflows
Audio technology or media processing
ElevenLabs or similar AI audio tools
Autonomous work
Fast learning
Adaptability
Proactivity
Clear communication
Detail‑oriented
Collaboration
Driven and accountable
Salary $50,000 - $85,000 USD
Seniority level Mid‑Senior level
Employment type Contract
Job function Information Technology, Software Development
#J-18808-Ljbffr
Technical Customer Support Specialist
role at
TechTree .
This range is provided by TechTree. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $50,000.00/yr - $85,000.00/yr
About the Role Provide technical support for AI audio platform, troubleshoot APIs, integrations, telephony issues, and translate findings for customers and teams in a fast‑paced startup environment.
We are looking for a highly technical Technical Customer Support Specialist who can independently troubleshoot complex issues across APIs, integrations, and our broader AI audio platform. This person should be comfortable working in a fast‑moving startup with minimal handholding, quickly understanding new features and systems, and adapting to constant change.
The ideal candidate has a strong background in technical support within SaaS or high‑growth tech environments, is deeply comfortable with troubleshooting API‑related issues, and can read and reason about code. They should also have a strong interest in AI and audio, and be able to translate complex technical findings into clear, concise explanations for both customers and internal teams.
Core Profile
2–3 years in technical customer support (SaaS / high‑growth tech; B2B/enterprise preferred)
Strong technical troubleshooting background; prioritizes technical depth over generic support skills
Proven ability to ramp quickly with minimal onboarding and operate effectively in ambiguity
Thrives in a fast‑paced, changing startup environment with limited process and documentation
Technical Skills
APIs & Integration: Confident troubleshooting REST APIs, HTTP requests/responses, auth, webhooks, and integration flows
Comfortable debugging browser/network errors and client‑side issues
GCP & Data: Hands‑on experience with GCP tools—especially GCP Logs
Solid understanding of SQL for querying, investigating, and validating data in logs
Code & Debugging: Able to read and troubleshoot code, especially Python
Exposure to JavaScript/Node.js/React is a strong plus
Can reason about logs, stack traces, and error messages to isolate root causes
AI & Audio
Strong interest in AI; familiarity with LLM concepts (prompting, hallucinations, common failure modes)
Basic understanding of how AI models are used in production workflows
Interest or experience in audio technology or media processing is a plus
Bonus: prior use of AI audio tools
Ways of Working
Highly autonomous: manages own workload, priorities, and learning without close supervision
Fast learner: picks up new concepts, tools, and features quickly with limited context or training
Adaptable: comfortable when features ship/break without advance notice; adjusts workflows on the fly
Proactive: identifies patterns, raises product issues, and improves internal docs/knowledge base
Soft Skills
Clear communicator (especially in writing): can turn complex technical issues into straightforward explanations
Detail‑oriented: careful in analysis, documentation, and customer‑facing responses
Collaborative: works well with product/engineering and a distributed, international team
Driven and accountable: maintains a high bar for quality and follows through end‑to‑end on issues
Requirements
2–3 years in technical customer support (SaaS / high‑growth tech; B2B/enterprise preferred)
Strong technical troubleshooting background
Proven ability to ramp quickly with minimal onboarding
Operate effectively in ambiguity
Interest in AI and audio
Background in troubleshooting telephony‑related issues using AI integrations, SIP, Twilio, or other tools and platforms
Required Skills
APIs & Integration
Troubleshooting REST APIs
HTTP requests/responses
Auth
Webhooks
Integration flows
Debugging browser/network errors
Client‑side issues
GCP tools
GCP Logs
SQL
Reading and troubleshooting code
Python
JavaScript/Node.js/React
Reasoning about logs
Stack traces
Error messages
AI concepts
LLM concepts
AI models in production workflows
Audio technology or media processing
ElevenLabs or similar AI audio tools
Autonomous work
Fast learning
Adaptability
Proactivity
Clear communication
Detail‑oriented
Collaboration
Driven and accountable
Salary $50,000 - $85,000 USD
Seniority level Mid‑Senior level
Employment type Contract
Job function Information Technology, Software Development
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