Motive is looking to leverage AI to solve real-world business problems for their sales team, aiming to make their work safer, more productive, and more profitable by building and owning a suite of agentic workflows and front-end applications.
Requirements
- 3-5 years of hands-on development experience in an enterprise environment while leveraging machine learning + AI models
- Strong understanding of AI fundamentals such as context windows, token consumption, compute cost, chunking, and performance benchmarks
- Understanding of API usage, limitations, and how to leverage API's to aggregate data across multiple source platforms. This includes an understanding of rate limits scalable API use as it pertains to both data sources and LLM's
- Understanding of scripting, SQL / SOQL, and Python fundamentals
- Experience leveraging prompt engineering to complete complex tasks, such as multi-step agentic workflows or coding
- Experience leveraging foundational models (Gemini, ChatGPT, Perplexity, Claude, Grok and others), both through the web interface and via the API
- Familiarity with the rapidly evolving agentic landscape, including orchestration layers, MCP, and Agent2Agent
Responsibilities
- Own the full development cycle of prototyping / developing proof of concepts, scaling prototypes for production use, beta testing with end users, and performing ongoing maintenance for internal AI tools
- building complex agents using Glean and N8N, using low code tools like Retool or Cursor to develop front-end applications, and creating complex prompts for use in Glean, Gemini, or Perplexity
- Collaborate with our internal product managers and ESYS team to integrate key data sources into your applications / agents in a secure way that respects Motive's data governance structure
- Ensure agents and applications follow UX best practices and can be easily leveraged by a less technical business audience
- Have a strong POV on when an agentic workflow is warranted vs a point solution (i.e., prompt).
- Have a strong POV on which of our internal AI tools is best suited to solve a specific use case
- Manage a provided cost envelope for production use cases, testing different LLM models to balance performance with token consumption cost
Other
- Ability to communicate technical concepts to a non-technical end user
- Fully remote position (USA or Canada and must already be located in the country)
- The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations.
- It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
