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Montauk Capital

We build and back companies of consequence within the Electron Economy.

CEO, Co-Founder – Call Center AI

Call Center RepresentativeCall Center RepresentativeFull TimeRemoteSeniorTeam 1-10Since 2023H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

147 days ago

Salary

Not specified

Seniority

Senior

Bachelor Degree5 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformKubernetes

Job Description

• 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). • 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. • 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). • 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. • 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). • Recruit and mentor engineers and additional senior team members, fostering a culture of innovation and rapid prototyping.

Job Requirements

  • 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).

Benefits

  • None specified

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