AI Enablement Engineer

Jobtailor; Berlin; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Jobtailor in Berlin seeks a software engineer to lead end‑to‑end AI‑driven workflows by embedding with Engineering, GTM, CS, Finance and Operations. You will build internal tools that connect HubSpot, Notion, Linear and Gong into daily workflows, owning design, implementation, rollout and iteration.

The role requires 3+ years shipping production systems, strong Python coding in cloud-native environments, and hands‑on experience with modern LLM tooling and SaaS integrations.

Qualifikationen

• 3+ years of professional software engineering experience with a track record of shipping production systems end-to-end.
• Production-grade coding in Python in cloud-native environments.
• Hands-on experience with modern LLM tooling – agent frameworks, tool use, prompt engineering, MCP, evals.
• Strong SaaS API integration experience – REST, webhooks, OAuth, idempotency, and stitching real systems.
• Exceptional communication and stakeholder skills with technical and non-technical operators alike.
• Bias for adoption over abstraction and measuring impact by usage and time saved.
• Fluent English, both written and spoken.

Aufgaben

• Find highest‑leverage workflows and embed with cross-functional teams to identify where AI can remove friction.
• Build internal tools and end‑to‑end agents that wire SaaS stack into engineers' and operators' daily workflows; own scope, design, rollout and iteration.
• Evolve AI architecture based on internal customer needs and measurable improvements.
• Drive adoption through hands‑on workshops, pair sessions, and office hours; measure success by usage and time saved.
• Partner with Security and IT on governance, build guardrails, access scoping and audit trails for safe AI deployment.
• Stay on the frontier by evaluating new tools and models and bringing best options back into the business.

Kenntnisse

Python

LLM tooling

API integration

Communication

Adoption focus

Software engineering

English

Tools

HubSpot

Notion

Linear

Gong

Jobbeschreibung

Responsibilities

• Find the highest‑leverage workflows. Embed with teams across Engineering, GTM, Customer Success, Finance, and Operations to identify where AI can remove the most friction.
• Build internal tools and agents end‑to‑end that wire Taktile's SaaS stack (HubSpot, Notion, Linear, Gong) into our engineers' and operators' daily workflows. Own scope, design, implementation, rollout, and iteration.
• Evolve AI architecture based on internal customer needs and tangible, measurable improvements.
• Drive adoption, not just deployment. Run hands‑on workshops, pair sessions, and office hours to teach teams how to actually use what you ship. Measure success in real adoption and time saved, not features delivered.
• Partner with Security and IT on governance. Apply least‑privilege principles from day one. Build the guardrails, access scoping, and audit trails that let us move fast on AI without exposing customer data or production systems.
• Stay on the frontier. Know when new tools and models release, which ones are worth experimenting with, and bring the best of it back into the business.

Requirements

• 3+ years of professional software engineering experience, with a track record of shipping production systems end‑to‑end.
• Production‑grade coding ability in Python in cloud‑native environment.
• Hands‑on experience building with modern LLM tooling – agent frameworks, tool use, prompt engineering, MCP, evals. You've shipped something real, not just experimented in a notebook.
• Strong SaaS API integration experience – REST, webhooks, OAuth, idempotency, the messy realities of stitching real systems together.
• Exceptional communication and stakeholder skills with technical and non‑technical operators alike.
• A bias for adoption over abstraction. You measure your work by who's using it next week, not by how elegant the architecture is.
• Fluent English, both written and spoken.