Technical Customer Success Manager

Required Skills

Customer Success Platforms
Zendesk
Intercom
Amplitude
Mixpanel
FullStory
Jira
API Fundamentals
Log Analysis
SQL
Technical Troubleshooting
QA Fundamentals
Documentation
Customer Empathy
Stakeholder Management
Process Building
Cross-functional Collaboration
Executive Presence
Problem Solving
Customer-Facing Communication
Engineer-Facing Communication

Job Description

Technical Customer Success Manager


The Opportunity

We are identifying senior leaders for a US-headquartered, Seed startup entering its next growth phase. Hiring decisions will be made between April and June. We are not filling a role; we are building a shortlist of candidates who belong in the conversation.

This position combines technical know-how with customer success. You will own the complete customer experience, from onboarding to advocacy, while building the feedback systems that make the product better for everyone. If you have been waiting for a role where customer success and product quality are treated as one discipline, this is it.


Why This Role Exists

As our customer scales post-funding, they are investing in a senior leader who refuses to separate customer experience from product quality. You will be the voice of the startup’s users inside engineering and the voice of engineering to the startup’s users. This role exists because customer success without quality accountability is incomplete, and our customer knows it.


What You Will Own

Customer Success (60%)

  1. Lead technical onboarding and implementation for strategic accounts
  2. Own customer health metrics, retention outcomes, and expansion opportunities
  3. Develop scalable success processes and playbooks that grow with the customer base
  4. Serve as the executive point of contact for key accounts

Quality Assurance Strategy (40%)

  1. Build the feedback loop: customer issues to engineering prioritization to verified resolution
  2. Define quality standards grounded in customer experience, not just internal testing metrics
  3. Partner with Product and Engineering to influence roadmap based on real usage patterns
  4. Hire and mentor junior CSMs and support staff as the function grows


What You Bring

Required:

  1. 7+ years in technical customer success, solutions engineering, or support leadership
  2. Demonstrated experience bridging customer needs with engineering and product teams
  3. Strong technical fluency: comfortable reading logs, understanding APIs, and triaging issues
  4. Track record of building processes in scaling or early-stage environments
  5. Exceptional communication for both executive and technical audiences

Valuable:

  1. Background in QA, support engineering, or technical account management
  2. Experience with SaaS platforms, particularly in B2B contexts
  3. Familiarity with product analytics tools (Amplitude, Mixpanel, FullStory)
  4. Exposure to quality frameworks or methodologies


Who Thrives Here

You are a systems thinker who treats customer complaints as product intelligence. You are equally comfortable in a QBR with a VP and a triage call with engineers. You do not protect users from reality; you help them navigate it while advocating fiercely for their experience. You want to build a function, not just occupy a title.


How to Apply

The application process is intentionally rigorous to ensure a great fit for both sides:

Step 1: Submit Your Application

Complete the application form and upload your resume. Highlight your technical impact and measurable achievements.

Step 2: AI Interview + Code Exercise

Qualified applicants will join a combined AI interview and coding session to assess technical reasoning, problem-solving, and communication.

Step 3: Evaluation and Review

Submissions are reviewed for code quality, clarity, and architectural decisions.

Step 4: Live Interview

Finalists will meet with VamosWatu and the partner's engineering leadership to discuss technical alignment, collaboration style, and culture fit.

Final Step: Selection

Top performers will move forward for final selection and onboarding into the engineering team.


About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.

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