CEO & Co-Founder, Call Center AI
About Montauk Capital
Montauk Capital is an investment management platform today spanning venture investing, private credit, and venture studio efforts that builds, invests in, and unlocks capital in category leading companies. We focus on backing tech companies in the ‘Electron Economy,’ the massive shift toward software-enabled industrial and energy systems. This generational transition is reshaping how we power intelligence, move people and goods, and build resilient industries. From AI, data centers and Web3 to industrial robotics and re-shoring supply chains, the future of growth is built on electrification and the intelligent use of energy.
About Stealth CCaaS AI
We see a massive opportunity to launch the first AI-native CCaaS platform built specifically for regulated industries—combining deep utility integrations, emotionally intelligent agents with long-term memory, and real-time crisis response. As resilience moves to the forefront of utilities’ strategic initiatives, making massive investments in updating aging infrastructure and adopting smarter technologies like demand response programs, one of the biggest gaps remains: customer communications during outages. Contact centers are overwhelmed, customers face long waits and generic updates, and real-time outage data is underutilized. At Montauk, we believe next-generation AI can make a transformative impact on these issues.
Conversational AI can instantly handle high call volumes, giving customers clear, real-time answers without waiting on hold.
Agentic workflows can coordinate across data systems and teams, automatically routing the right issue to the right resolution path.
Chatbots can engage customers on their preferred channels (text, web, or apps), offering personalized outage updates and guidance at scale.
Computer vision can analyze field imagery and video to detect downed lines, damaged equipment, or vegetation risks, feeding data directly into response systems.
About the Technical CEO role
We are seeking a visionary technical founder to refine the vision, build the roadmap and lead development of this business. The leader will architect and begin building a next-generation AI-driven solution that integrates advanced machine learning, voice technologies, and multi-agent collaboration to transform customer engagement in regulated environments. The ideal candidate will combine deep technical expertise with commercial acumen to drive the build of an MVP while also managing commercial partnerships and early revenue growth in a zero-to-one environment with the support of Montauk Climate’s Venture Studio resources.
Key Responsibilities
Technical Vision & Leadership: Define the end-to-end architecture for an energy-focused CCaaS platform, prioritizing agentic AI capabilities (autonomous decision-making, emotional intelligence, multi-agent collaboration) and seamless integration with core utility systems (OMS, CIS, IVR, GIS).
AI/ML Innovation: Spearhead innovations in conversational AI, real-time sentiment analysis, omnichannel communications, and predictive analytics, leveraging utility-specific interaction data to train models for outage management, billing resolution, and crisis response.
System Integration: Architect fault-tolerant, API-first platforms that natively integrate with utility operational systems, cloud infrastructure (AWS, GCP, Azure), and Kubernetes ecosystems for scalability during high-demand events (e.g., 500% call volume spikes).
Compliance & Security: Embed regulatory compliance (ADA, PUC mandates) and privacy-by-design principles into the platform, ensuring auditability, role-based access, and red-team testing for AI safety.
Initial Commercial Execution: Develop, alongside Montauk Climate, an initial sales pitch and MVP to be leveraged to forge partnerships with utilities/IoUs, and articulate technical value propositions to stakeholders (investors, regulators, customers).
Team Building: Recruit and mentor engineers and additional senior team members, fostering a culture of innovation and rapid prototyping..
Key Attributes
Agentic AI Systems: Designing autonomous AI agents with emotional intelligence, long-term memory, and multi-agent collaboration for complex workflows.
High-Performance APIs: Developing low-latency integrations with utility operational systems (OMS, CIS) for real-time data exchange.
Real-Time Adaptation: Building systems that dynamically reprioritize interactions during crises (e.g., wildfires, grid failures) using geospatial data and predictive analytics based on real-time data ingestion.
Scalable Architecture: Delivering sub-5-second response times during 10x traffic surges through elastic cloud scaling.
5+ years in technology leadership roles, including focus on AI/ML-driven SaaS platforms.
Proven track record in deploying AI solutions in regulated industries (utilities, healthcare, finance), with emphasis on compliance and scalability.
Degree in Computer Science, Engineering, or related field; MS or PhD in ML/AI is a plus.
Experience commercializing enterprise SaaS products, including negotiating technical or commercial partnerships with Fortune 500 companies.
Demonstrated ability to translate technical capabilities into revenue growth (e.g., leading pre-sales engineering or co-designing pilots with customers).