Softblues

The client is currently undergoing a major transformation initiative and is relying heavily on Atlassian tools (Jira & Confluence). 

What are they looking for?

The project is still in the planning phase and not yet finalized. Therefore, the client is seeking concrete proposals to help identify potential cost savings from outsourcing and present them to the executive board.
 

Framework & Requirements 

Technology stack: Atlassian (Jira & Confluence)
 

Scope:

Confluence: approx. 15,000 active users

Jira: approx. 7,000 active users

Correspondingly high ticket volume at the third level

Mandatory requirements:

Atlassian certification (Atlassian Certified)

Willingness to undergo a security clearance (due to the nature of the client’s business)

Our client is seeking a motivated and skilled Data Engineer to join their core Data Engineering team. This is a hands-on role designed for a technical expert who enjoys building robust data architectures and working directly with the Modern Data Stack

As a Data Engineer, you will be responsible for designing, developing, and optimizing data transformation pipelines. You will play a crucial role in turning raw data into actionable insights by leveraging Snowflake and dbt to ensure high-quality, scalable data delivery.
 

Key Responsibilities:

• Design and build sophisticated SQL models to process both batch and near real-time data streams.
• Utilize dbt to implement reliable, version-controlled transformation logic.
• Ensure high performance and cost-efficiency within the Snowflake environment.
• Build and maintain scalable ELT/ETL processes to support the organization's evolving data needs.

Skills & Experience:

• Proven experience working with Snowflake architecture (Virtual Warehouses, Snowpipe, etc.).
• Strong proficiency in using dbt for modular data modeling and testing.
• Expert-level ability to write complex, performant, and clean SQL code.
• Solid understanding of data warehousing concepts, schema design (Star, Snowflake, Data Vault), and data lifecycle management.
• A proactive approach to problem-solving and a passion for deep-diving into technical challenges.

Nice to Have:

• Real-time Processing: Previous experience building SQL models specifically for real-time data pipelines.
• Experience with orchestration tools (e.g., Airflow, Dagster) or cloud platforms (AWS/Azure/GCP).

About the Role:

We are looking for a visionary Marketing Operations Manager to lead our transition into an AI-first content organization. You will operate at the critical intersection of Content Strategy, Agentic AI Engineering, and Marketing Automation, building the "brain" behind our brand’s digital presence.

Your role includes, but is not limited to:

• Design and deploy sophisticated agentic workflows using AI-frameworks to automate complex content tasks;
• Build and maintain autonomous agents that monitor LinkedIn and X for intent signals to perform real-time engagement and brand-aligned outreach, while orchestrating workflows that enrich lead data from Crunchbase, ZoomInfo, etc. to drive hyper-personalized communication;
• Ensure seamless data flow between AI agents and the GTM stack by integrating intelligent triggers into Apollo, HubSpot, and Instantly.ai, ensuring every automated action is rooted in up-to-date context and deep target audience analysis;
• Develop intelligent agents that track industry shifts and competitor activity across web and social sources, automatically feeding these updates back into the content strategy and outreach logic to ensure our messaging remains relevant and adaptive to market changes in real-time;
• Implement "human-in-the-loop" architectures through intuitive interfaces (such as Slack), enabling the team to rapidly review and approve AI-generated content before publication or outreach, maintaining premium quality and an authentic brand voice;
• Manage the end-to-end flow of content, ensuring seamless integration between AI agents, LLMs, and marketing platforms;
• Define the "What, When, and Where" of our content engine, translating business goals into technical automation logic;
• Implement tracking and feedback loops to continuously tune agent prompts and model performance based on real-world engagement;
• Evaluate and integrate cutting-edge tools for SEO, scheduling, visual generation, and analytics.

What we’re looking for:

• Proven experience with LLMs (OpenAI, Claude, Gemini) and prompt engineering;
• Experience using AI / OpenAI API for lead enrichment or personalization;
• Deep understanding of content marketing, SEO, and brand positioning;
• Hands-on experience with GTM tools: Apollo, HubSpot/Salesforce, Instantly.ai, LinkedIn automation tools;
• Experience with tools like Make.com, n8n, or Zapier and a passion for "manual-zero" workflows;
• Ability to maintain and scale automation systems in production