Clera

Founding Engineer

Remote, United States remote Entry Salary not listed
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About the role

About the Role
This is a founding engineering role at an early-stage enterprise AI startup based in Munich, Germany. The company builds AI-powered automation that learns from real human workflows — studying repetitive, screen-based processes and creating AI solutions that take them over, freeing teams to focus on higher-value work. Customers span professional services, insurance, financial services, and customer support, including PE-backed portfolio companies.
As a Founding Engineer, you will be a core contributor shaping both the product and the technical foundation from the ground up. You will work directly with customers, own significant technical decisions, and have meaningful equity in the company. This is a high-ownership, high-intensity role suited to someone who thrives in very small, fast-moving teams.
Visa sponsorship is available for this role.
What You'll Do
Build product features and customer-facing technical tooling end-to-end

Design and implement data pipelines to convert and aggregate large volumes of video (1,000+ hours) and other unstructured data into a structured, queryable data lake

Integrate Large Language Model (LLM) and Vision-Language Model (VLM) pipelines into core product workflows

Develop full-stack components using Python and FastAPI

Collaborate directly with enterprise customers to map processes and identify automation opportunities

Support a land-and-expand go-to-market strategy by enabling scalable integrations across customer tech stacks

What We're Looking For
Required
3+ years of full-stack engineering experience

Strong proficiency in Python; hands-on experience building production-ready RESTful APIs with FastAPI in scalable systems

Deep experience designing and implementing video processing data pipelines and related video analytics workflows

Experience building data pipelines to convert large volumes of unstructured video data into structured, queryable formats

Hands-on experience integrating, fine-tuning, and deploying LLMs and VLMs in production pipelines

Familiarity with cloud infrastructure and deployment practices

Early-stage startup experience — comfortable with ambiguity, high ownership, and shaping product direction

Strong written and verbal communication skills; proven ability to collaborate across small, cross-functional teams

Experience working directly with enterprise customers to understand and solve real business problems

Nice to Have
Background in business process automation, enterprise SaaS, or AI/ML tooling

Experience working with PE portfolio companies or professional services clients

Comfort with a founder-level contributor mindset — willing to wear multiple hats

Compensation & Benefits
Base salary: €80,000 – €120,000 per year

Significant equity as a founding team member

Direct impact on product, architecture, and company direction from day one

Location
Munich, Germany — on-site

This is a full-time, in-person role; remote work is not available

Visa sponsorship is available

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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Customer Service Data Analysis Python Remote Collaboration remote

Likely questions

  1. Tell us about work you have done that is close to the Founding Engineer role.
  2. How would you approach your first 30 days at Clera?
  3. Which of Customer Service, Data Analysis and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Customer Service, Data Analysis and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Founding Engineer role because I can bring practical experience in Customer Service, Data Analysis and Python, learn the team quickly, and contribute to the outcomes Clera needs from this hire.

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