AI Lead Generation Architect

About DSALTA:

DSALTA is an AI-powered compliance and cybersecurity platform that unifies Vendor Risk Management, Compliance Automation, and Customer Trust in one place. We help companies automate their audits, manage third-party risk, and build trust with customers through powerful automation and continuous monitoring. We’re growing fast — and now we want to build an AI-driven growth engine to scale our pipeline like never before.

The Role:

We’re looking for a hands-on AI Lead Generation & Automation Engineer to architect and build the full stack of our lead audit + generation system. This is not a “run ads” role — it’s a builder role for someone who can connect data, AI models, and outreach workflows into a self-optimizing lead machine.

You will:

• Build systems that find, audit, score, and qualify leads across multiple data sources.
• Design AI pipelines to analyze companies (e.g. security posture, compliance maturity, firmographics) and surface high-intent prospects.
• Automate outreach workflows (email, LinkedIn, enrichment, follow-ups) with personalized messaging.
• Integrate the system with CRM, DSALTA’s backend, marketing tools, and analytics dashboards.
• Continuously improve the system using data, A/B testing, and AI feedback loops.

• Architect and build DSALTA’s AI-powered lead gen and audit automation engine.
• Implement data collection and enrichment pipelines to identify ICP-fit companies.
• Develop lead scoring models using firmographic, technographic, and intent data.
• Automate outbound sequences and track engagement/conversion metrics.
• Integrate seamlessly with DSALTA’s existing tools (CRM, marketing stack, internal APIs).
• Create performance dashboards and reporting to measure ROI and funnel performance.
• Experiment rapidly, scale what works, and optimize for conversions.

• Strong background in data engineering, automation, or AI systems.
• Experience building lead scoring / enrichment systems (e.g., Clay, Apollo, ZoomInfo, or custom pipelines).
• Knowledge of LLMs or ML models for classification, enrichment, or outreach personalization.
• Proficiency in Python, SQL, API integrations.
• Familiarity with outbound tools (Apollo, Lemlist, LinkedIn automation, Make, Zapier etc.).
• A builder mindset — you’re not just running tools, you’re creating the engine.

• Experience in B2B SaaS or cybersecurity/compliance space.
• Prior experience building growth engines from 0 → 1.
• Knowledge of marketing data warehouses, analytics, or GTM tooling.

• Build a core revenue engine from the ground up.
• Work on cutting-edge AI and automation in a high-impact environment.
• Collaborate with a global team of builders.
• Competitive compensation with upside as we scale.