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ActiveCampaign, LLC logo

Lead AI Engineer

Job Overview

Location

Krakow

Job Type

Full-time

Category

Software Engineering

Date Posted

October 15, 2025

Full Job Description

đź“‹ Description

  • • Architect and own the foundational AI data platform and MLOps pipelines that will power ActiveCampaign’s next-generation agentic AI systems, ensuring enterprise-grade scalability, reliability, and performance for millions of small-business users.
  • • Design and deliver end-to-end production-ready agentic systems—from proof-of-concept through deployment, monitoring, and continuous improvement—translating cutting-edge academic research into practical, revenue-generating features.
  • • Drive innovation in large-language-model capabilities by implementing advanced RAG architectures, fine-tuning strategies, reinforcement-learning-from-human-feedback (RLHF), and rigorous evaluation frameworks that guarantee model quality and safety.
  • • Lead technical strategy and roadmap discussions with product, engineering, and executive leadership, translating complex AI insights into clear business strategies that influence company direction and unlock new market opportunities.
  • • Build and mentor a high-impact, cross-functional team of data scientists and ML engineers in our brand-new Krakow hub, fostering a culture of technical excellence, experimentation, and inclusive collaboration.
  • • Establish best-in-class data governance, privacy, and security standards across all AI initiatives, ensuring compliance with global regulations and earning the trust of our SMB customers.
  • • Continuously research and prototype emerging AI technologies—such as multi-agent orchestration, autonomous workflow generation, and real-time personalization—to keep ActiveCampaign at the forefront of marketing automation.
  • • Partner with customer-facing teams to gather feedback, run A/B tests, and iterate rapidly, turning real-world usage data into measurable improvements in campaign performance and user satisfaction.
  • • Champion democratization of AI by creating intuitive abstractions and self-service tooling that allow non-technical marketers to leverage sophisticated models without needing deep ML expertise.
  • • Contribute to the vibrant Krakow office culture from day one—organizing tech talks, hackathons, and knowledge-sharing sessions that attract top talent and position ActiveCampaign as the employer of choice in Poland’s AI community.

🎯 Requirements

  • • 6+ years building and deploying scalable ML or NLP solutions in production, with demonstrated impact on user growth or revenue.
  • • Expert-level Python proficiency (scikit-learn, TensorFlow, PyTorch, Hugging Face) and hands-on experience with distributed training and inference.
  • • Proven track record designing RAG systems, fine-tuning LLMs, and implementing RLHF or drift-detection pipelines at scale.
  • • Advanced SQL, data-warehousing, and ETL expertise; experience with Spark or Dask and at least one major cloud platform (AWS, GCP, or Azure).
  • • Exceptional ability to translate complex technical concepts into clear business strategies that influence senior stakeholders.

🏖️ Benefits

  • • Comprehensive health & wellness: 100% employer-paid medical & dental for you, 50% for dependents, plus vision reimbursements, telehealth, and free Calm subscription.
  • • Generous paid time off and a four-week paid sabbatical with bonus after five years to recharge and pursue personal passions.
  • • Total rewards package: pension matching up to 1.5%, MultiSport Plus card, home-office stipend, and commuter support.
  • • Career growth via LinkedIn Learning, professional-development programs, and fast-track advancement in a hyper-growth, AI-first company.

Skills & Technologies

Python
AWS
Azure
GCP
TensorFlow
Data Science
Senior
Hybrid

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ActiveCampaign, LLC logo
ActiveCampaign, LLC
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About ActiveCampaign, LLC

ActiveCampaign provides cloud-based customer experience automation software that unifies email marketing, marketing automation, sales automation, and CRM for small to mid-size businesses. Its platform enables personalized campaigns across email, web, SMS, and social channels, leveraging machine learning to segment audiences, trigger workflows, and score leads. Founded in 2003, the company serves over 180,000 customers in 170 countries, integrating with more than 870 third-party applications to consolidate customer data and automate engagement throughout the lifecycle.

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