About the Role

Most companies treat legal research as internal homework. We turn it into product narratives, customer education, and sales momentum.

At Securiti, we are building the platform that allows enterprises to safely use data and AI while complying with global privacy and AI regulations. Our platform powers privacy and data governance programs for many of the world’s largest organizations.

As demand grows, we need a scalable way to translate global regulations into clear, usable, and market-facing content. We are looking for Marketing Legal Analysts to help power that engine.

This is an early-career role for someone who wants to work at the intersection of law, product, and marketing.

What You’ll Do

• You will help build the legal foundation behind our digital and product marketing content.

  This includes:

  • Research that directly feeds product marketing materials
  • Regulatory mappings that become customer-facing assets
  • Structured insights that power solution briefs and campaigns
  • Foundational content used in sales, marketing, and product education

  Your mission is simple: Turn legal research into content that the market can understand and act on.

• Conduct Research That Becomes Content

Research global privacy, data protection, and AI governance laws. Focus on extracting what actually matters for customers and products.

• Support Product Marketing Deliverables

Your research will directly support the creation of:

• Solution briefs
• Website content and product pages
• Implementation guides
• Compliance mappings and regulatory crosswalks
• Playbooks and best practices
• Sales enablement materials

• Translate Law Into Clear Messaging

Break down complex legal requirements into simple, structured explanations that can be used in marketing and customer-facing content.

• Create Structured, Reusable Outputs

Organize research so it can be easily converted into:

• Digital content
• Product collateral
• Campaign materials

• Collaborate Across Teams

Work closely with:

• Product Marketing
• Product
• Privacy & AI Governance team

See how your research turns into live content used by customers and sales teams.

Who You Are

You are early in your legal career and want your work to actually be used, not buried in a folder. You enjoy research, but you also like simplifying things and making them useful. You are comfortable writing in a clear, structured, and practical way. You do not need deep experience. You need curiosity, discipline, and the ability to explain things simply.

What You’ll Bring

• Law degree (LLB or equivalent) or final-year law student
• Strong research and writing skills
• Ability to simplify complex concepts
• Interest in privacy, data protection, or AI

Why This Role Matters

Enterprise buyers are trying to understand how privacy and AI laws apply to their business.

Most content in the market is either too vague or too legal to be useful.

We do it differently.

We turn regulation into clear, structured, product-aligned content that helps customers:

• Understand their obligations
• Evaluate solutions
• Make faster decisions

Your work will sit at the starting point of that entire process. You will not just research the law. You will shape how the market understands it.

Bonus Skills

• Exposure to GDPR, CCPA/CPRA, or similar frameworks
• Interest in how legal content is used in marketing or product
• Internship or academic experience involving legal research or writing
• Experience with AI tools such as Claude, Gemini, Notebook LLM

What You’ll Get 

• Competitive compensation package

• Comprehensive health and wellness benefits

• Professional development opportunities

What You will do (Responsibilities) :

• Lead end-to-end ML development across BRKZ. Build and deploy production models, LLM agents, and data-driven workflows that improve accuracy and cut manual work across Finance, Credit, Procurement, and Operations.
• Scope problems with Product and Ops, size impact, and turn workflows into measurable gains.
• Cover full-stack ML engineering and applied data science: data analysis, feature engineering, modelling, evaluation, and monitoring.
• Own model lifecycle, reliability, and PDPL compliance. 
• Guide standards for data quality and ML practices. Mentor ML and AI engineers.

Who You are (Qualifications) : 

* Expert Python and ML engineering.

* 5 to 8 years in ML engineering or applied AI with delivery in production environments
* Strong with LLMs, embeddings, RAG, and classical ML models.
* Skilled in data analysis, feature engineering, and evaluation.
* Experience building and scaling pipelines.
* Strong cloud deployment background.
* Able to quantify business impact and guide decisions.
* Strong communication and mentoring ability.
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, TensorFlow or PyTorch, Scikit-learn, Pinecone or equivalent vector DB, Airflow or Prefect, GitHub, Docker, Terraform, PostgreSQL, BigQuery, n8n or similar workflow tools.

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
• Attractive compensation package
• Access to tools helping with your learning and development
• Product first mindset
• The best idea wins; we are all ears when it comes to ways to do things better
• Exciting stock options