
1 - 10 employees
Founded 2015
☁️ SaaS
🤝 B2B
SaaS • B2B
Lead Surge is a SaaS lead generation and marketing automation platform that helps businesses capture, engage, qualify, and schedule high-converting leads on autopilot. It automates multi-channel outreach (email, SMS, social inbox, web chat), uses lead scoring and automated messaging to turn awareness into confirmed calls and appointments, and provides tools to optimize campaigns and boost ROI. Lead Surge targets businesses seeking to increase sales conversations and conversion rates through marketing and sales process automation.
🕒 May 16
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1 - 10 employees
Founded 2015
☁️ SaaS
🤝 B2B
SaaS • B2B
Lead Surge is a SaaS lead generation and marketing automation platform that helps businesses capture, engage, qualify, and schedule high-converting leads on autopilot. It automates multi-channel outreach (email, SMS, social inbox, web chat), uses lead scoring and automated messaging to turn awareness into confirmed calls and appointments, and provides tools to optimize campaigns and boost ROI. Lead Surge targets businesses seeking to increase sales conversations and conversion rates through marketing and sales process automation.
• Lead rigorous "Build vs. Buy vs. Partner" evaluations for all components of the AI ecosystem • Define the company’s AI tooling architecture, including how tools integrate with existing systems (CRM, ad platforms, analytics systems, etc.) • Own the technical AI roadmap, sequencing initiatives, managing dependencies, and communicating trade-offs clearly to leadership • Continuously assess the evolving AI landscape and make timely, well-reasoned recommendations about when to adopt, replace, or retire tools • Implement agentic AI solutions that can act, make decisions within defined parameters, and reduce manual intervention across key workflows • Build and configure multi-step AI workflows and solutions that connect across tools and departments • Ensure solutions are reliable, auditable, and built with appropriate guardrails and failure handling • Lead end-to-end implementation of AI solutions from scoping through deployment, working from recommendations provided by the AI Business Process Analyst • Partner with internal teams and external vendors to ensure solutions integrate cleanly into existing workflows • Maintain clear documentation on system architecture, tool configurations, and integration dependencies • Monitor solution performance post-deployment and iterate based on real-world usage and feedback • Develop and deliver training programs with the help of the AI Business Analyst that help staff understand, trust, and effectively use AI tools in their day-to-day work • Create accessible resources guides, demos, that meet team members where they are regardless of technical background • Serve as an internal resource for AI-related questions, troubleshooting, and best practices • Promote responsible AI usage and help the organization develop clear norms around how AI tools are used • Work closely with the AI Business Process Analyst to translate operational findings into technically sound solution designs • Engage with department leads and leadership to align on priorities, surface blockers, and report on initiative progress • Support change management efforts by ensuring teams feel prepared and supported as new tools are introduced
• A portfolio of AI solutions you have personally built and deployed, with clear evidence of the business impact each delivered • Familiarity with agentic AI frameworks and tools • Experience integrating AI tools across existing tech stacks, including CRMs, ad platforms, and analytics systems • Strong understanding of how AI applies in performance marketing, media, analytics, or lead generation environments (preferred) • Proven ability to communicate complex technical concepts clearly to non-technical stakeholders • Experience training or enabling staff on new tools and technologies with patience, structure, and genuine commitment to adoption success • All applicants should be well versed in working within SOC 2 data security requirements • Familiarity with prompt engineering, LLM APIs, or AI platform administration • A practical, outcome-oriented mindset this role succeeds when solutions are used and delivering results, not just when they are built
• Remote work options
Apply Now🕒 May 16
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