AI-Powered Enterprise FDE (Ops)

Lindus Health

Berlin (MD)

Hybrid

USD 82,000 - 117,000

Full time

14 days+

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Benefits offered by this job

Equity & cash compensation
Self-development budget
Home office equipment
Hybrid work model
Mentorship and growth

Job summary

Taktile is seeking a Forward Deployed Engineer (Ops) to work closely with enterprise customers, guiding best practices and maximizing value from the AI platform. You'll partner with Engineering, Product, and Customer Success to solve complex technical problems and drive customer outcomes.

Ideal candidates have 1–2 years in customer-facing tech roles, strong Python/SQL skills, and familiarity with AI concepts.

Qualifications

  • 1–2 years of experience in a customer-facing technical role.
  • Experience as Solutions Engineer, Technical Account Manager, Forward Deployed Engineer, Customer Success Engineer, or Technical Consultant is a plus.
  • Familiar with AI concepts including prompt engineering, large language models, and AI Agents.
  • Strong knowledge of APIs and data formats (JSON, XML).
  • Proficient in Python and SQL.
  • Excellent communication with diverse customer profiles.

Responsibilities

  • Develop a deep understanding of the Taktile platform and its value for customers.
  • Support post-onboarding customers with technical problems and product inquiries.
  • Collaborate with Product and Engineering to translate customer insights into product improvements.
  • Create reusable collateral, best practices, tools, and automations for the Customer Success team.
  • Build strong relationships with core users within customer teams.

Skills

Customer-facing
APIs & JSON/XML
Python
SQL
English proficiency
AI concepts
Analytical thinking

Job description

Taktile is seeking a Forward Deployed Engineer (Ops) to work closely with enterprise customers, guiding best practices and maximizing value from the AI platform. You'll partner with Engineering, Product, and Customer Success to solve complex technical problems and drive customer outcomes.

Ideal candidates have 1–2 years in customer-facing tech roles, strong Python/SQL skills, and familiarity with AI concepts.

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