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Trilagen

AWS-focused cloud modernization, data lakes, ML

Senior Sales Executive - Agentic AI

Account ExecutiveConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listed

About the Job

Requirements

  • At least 7 years of enterprise technology sales experience selling consulting, professional services, or managed services to commercial enterprise buyers; SaaS license sales alone does not qualify.
  • Proven success selling emerging technologies such as AI, generative AI, agentic AI, cybersecurity, cloud services, digital transformation, or enterprise consulting engagements.
  • Demonstrated success at small or early-stage companies with limited brand recognition, opening doors through personal credibility and effort.
  • A consistent track record of exceeding quota through outbound prospecting and new-logo acquisition.
  • Experience selling into enterprise accounts with complex, multi-stakeholder buying processes, including engagements of $150,000–$500,000 or more and 60–90-day cycles involving CISOs, CIOs, or VPs of IT.
  • Ability to independently source, develop, and close opportunities without SDR teams, marketing engines, or corporate brand support.
  • Familiarity with AWS, Okta, or SailPoint partner ecosystems and an understanding of the co-sell motion.
  • Ability to communicate with executive stakeholders and simplify technical concepts, including AI agents, large language models, and identity governance.

Responsibilities

  • Own the full sales cycle from prospecting through scoping and closing, from first outreach to signed statement of work.
  • Generate and manage a personal pipeline through outbound activity, networking, referrals, events, and strategic outreach.
  • Target enterprise and upper mid-market organizations undergoing AI transformation, including Fortune 500 and large publicly traded companies.
  • Position agentic AI solutions around business outcomes and explain adoption strategies, automation opportunities, governance requirements, and operational impact to customers.
  • Collaborate with technical architects and delivery teams during discovery and solution development.
  • Cross-sell across AI Agent Engineering, Cloud, and Identity Security practices.
  • Build and execute territory plans with measurable pipeline targets, including specific accounts, contacts, and dollar amounts.
  • Maintain disciplined forecasting and Salesforce customer relationship management records, documenting opportunities, meetings, and next steps.
  • Drive urgency through complex enterprise buying cycles and meet activity, pipeline, and revenue goals.
  • Help shape messaging, go-to-market strategy, and the sales process with the President.
  • Provide market feedback directly to leadership about buyer input, objections, and sales effectiveness.
  • Sell business process documentation, AI agent design, build and integration, and agent operations and management services.
  • Sell Okta and SailPoint identity security implementation and AI agent identity governance services.
  • Sell AWS cloud-native application development, data lakes, migration, and managed operations.

Desired Qualifications

  • Experience selling AI services or AI consulting engagements.
  • Experience working at startups with fewer than 200 employees and limited brand recognition.
  • Experience building territories or go-to-market motions from scratch.
  • Existing enterprise relationships within targeted verticals.
  • Experience closing six-figure and seven-figure services engagements.
  • Experience working alongside technical delivery or solution engineering teams.

About the Company

Trilagen

AWS-focused cloud modernization, data lakes, ML

Trilagen is a cloud native consultancy and managed services partner focused on AWS. It helps organizations modernize workloads, design data lakes for analytics, and implement AI/ML using AWS tools. It stands out by offering end-to-end AWS work—from cloud modernization and data platforms to serverless and ongoing managed services—rather than just advisory help. Its goal is to help businesses build or optimize operations on AWS through practical cloud architectures, data platforms, and ML capabilities.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2020

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