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Onset

Release-notes platform with AI-assisted publishing

AI Functional Technical Consultant

Implementation & Technical Account ManagementUpdated on Nov 10
Full-timeDallas, TX, USA$85k - $110kIn-person

About the Job

Requirements

  • A bachelor's degree in Business, Computer Science, Information Systems, or a related field is required; a master's degree is a plus.
  • Three to seven years of experience in functional or technical consulting, business analysis, or solution implementation.
  • Hands-on experience and a strong foundation in Agentic AI, LangChain, Deep Agents, Google ADK, and CrewAI.
  • A strong understanding of business processes in at least one functional domain, such as finance, supply chain, human resources, sales, or customer support.
  • Experience with requirements gathering, process mapping, and solution design methodologies.
  • Familiarity with APIs, data integration concepts, and basic Python or SQL scripting for configuration and validation.
  • Ability to communicate technical concepts to non-technical stakeholders and vice versa.
  • Experience with project delivery methodologies such as Agile, Scrum, or Waterfall.
  • Applicants must be authorized to work in the United States without visa sponsorship.

Responsibilities

  • Gather, analyze, and document business requirements, and translate them into functional and technical specifications for AI and machine-learning solutions.
  • Configure, customize, and implement AI platforms, including generative AI, LLM-based agents, predictive analytics, and RPA-plus-AI solutions, to meet client needs.
  • Design and validate AI workflows, prompts, decision logic, and integration points with enterprise systems such as ERP, CRM, and data warehouses.
  • Conduct fit-gap analysis between out-of-the-box AI capabilities and client-specific requirements.
  • Collaborate with data engineers, machine-learning engineers, and solution architects to ensure technical feasibility and scalability.
  • Lead or support workshops, demonstrations, and user acceptance testing sessions with business stakeholders.
  • Develop functional design documents, process flows, test scripts, and training materials.
  • Monitor AI solution performance after deployment and recommend optimizations based on usage data and business outcomes.
  • Ensure solutions comply with data governance, security, and ethical AI standards.
  • Advise clients on AI adoption strategy, change management, and best practices.

Desired Qualifications

  • Certifications in relevant AI platforms or cloud providers such as Azure, AWS, or GCP.
  • Change management or training and enablement experience.
  • Telecommunications industry-specific expertise.

About the Company

Onset

Release-notes platform with AI-assisted publishing

Onset offers a release-notes platform for product teams. Its Onset MCP enables AI assistants to draft and publish release notes using tools like Claude and Cursor, turning shipping updates into an agent-assisted workflow instead of a manual docs chore. This functionality complements its core audience/changelog product on onset.io. Compared with competitors, Onset focuses on integrating AI-assisted writing and publishing within its existing changelog ecosystem, providing a seamless, automated path from product updates to public notes. The goal is to speed up and simplify how teams communicate releases by automating the creation and deployment of release notes.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2018

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