GTM AI 工程师 - 交易台
GTM AI Engineer -Deal Desk
我们是谁：
Motive 为从事实体运营的人员提供工具，使他们的工作更安全、更高效、更盈利。前所未有的，安全、运营和财务团队可以在一个系统中管理他们的司机、车辆、设备和与车队相关的支出。结合行业领先的 AI，Motive 平台为您提供全面的可见性和控制能力，并通过自动化和简化任务大幅减少手动工作量。
Motive 服务近 10 万个客户——从财富 500 强企业到小型企业——涵盖广泛的行业，包括交通运输和物流、建筑、能源、现场服务、制造、农业、食品饮料、零售和公共部门。
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职位简介：
作为 Deal Desk 团队的 GTM 工程师，您将构建并负责实际的 AI 驱动的工作流程、自动化和代理，以改善我们的销售和 GTM 团队的运作方式。您将作为一位运营 Builder，持续扫描 Deal Desk 的工作流程，寻找可由 AI 解决的问题，将团队和利益相关者的问题转化为可扩展、可重复使用的工具。您将与 Deal Desk、产品、ESYS 和业务利益相关者合作，识别高价值用例，原型化解决方案，推出安全的生产工具，并衡量从 SMB 到战略团队的采用情况和业务影响。您将负责内部 Deal Desk AI 工具的完整开发生命周期，从最初的原型设计和概念验证开发，到生产扩展、与终端用户进行的 beta 测试、持续维护和持续改进。理想的候选人应具备 GTM 或 RevOps 团队的实际业务经验。
我们寻找一位具有实验精神的人——热衷于原型设计、从失败中快速学习并探索新想法。您应对 AI 在改变工作方面的潜力充满热情，并对上下文窗口、令牌使用、计算成本、分块和性能基准等概念有扎实的理解。具备脚本编写、SQL/SOQL、Python 基础知识以及通过 Web 和 API 使用 ChatGPT、Gemini、Claude 等模型进行提示工程的经验是必不可少的。熟悉不断发展的代理生态系统，并能够向非技术受众解释技术话题，尤其是在 GTM 背景下，这一点至关重要。
您将负责：
- 以“我如何使用 AI 来解决这个问题？”为默认问题，持续识别 Deal Desk 中的瓶颈，以实现自动化，从而提供时间节省的解决方案
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Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
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About the Role:
As a GTM Engineer on the Deal Desk team, you’ll build and own practical AI-powered workflows, automations, and agents that improve how our Sales and GTM teams operate. You will be an operational Builder, continually scanning Deal Desk workflows for AI-solvable problems, turning team and stakeholder challenges into scalable, repeatable tools. You’ll partner with Deal Desk, Product, ESYS, and business stakeholders to identify high-value use cases, prototype solutions, launch secure production tools, and measure adoption and business impact for teams ranging from SMB to Strategic. You will own the full development lifecycle for internal Deal Desk AI tools, from initial prototyping and proof-of-concept development through production scaling, beta testing with end users, ongoing maintenance, and continuous improvement. The ideal candidate has practical business experience on a GTM or RevOps team.
We're looking for someone with an experimentation mindset—eager to prototype, learn quickly from failure, and explore new ideas. You should be passionate about AI’s potential to transform work and have a strong grasp of concepts like context windows, token usage, compute costs, chunking, and performance benchmarks. Experience with scripting, SQL/SOQL, Python basics, and prompt engineering using models like ChatGPT, Gemini, Claude, etc., via web and API is essential. Familiarity with the evolving agentic ecosystem, and the ability to explain technical topics to non-technical audiences, especially in a GTM context, is key.
What You'll Do:
- Operate with the default question: “How can I use AI to solve this?”, consistently identifying Deal Desk bottlenecks to automate in order to provide the best possible experience for our stakeholders.
- Design robust human-in-the-loop validation, audit trails, and fallback rules for Deal Desk agents to ensure complete compliance with revenue recognition policies and pricing approval matrices.
- 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 that support our GTM/Deal Desk and Sales partners. This includes building agents and workflows using Glean, Salesforce—including Agentforce and ClaudeForce—and n8n; developing front-end applications using Retool, Cursor, React, or similar tools; integrating enterprise data and APIs securely; and creating prompts and workflows for models such as Gemini, ChatGPT, Claude, and Perplexity.
- Ensure agents and applications follow UX best practices and can be easily leveraged by a less technical business audience
- Manage a cost envelope for production use cases, testing different LLM models to balance performance with token consumption cost
- Create and maintain documentation around launched solutions
- Train end-users on the usage of launched tools
What We're Looking For:
- 5-7 years of hands-on Deal Desk or RevOps experience, including solving business challenges with tooling, building and deploying internal tools, automations, data products, or AI-enabled workflows in an enterprise environment. Relevant backgrounds may include AI/ML engineering, Salesforce or business systems, data, software development, or workflow automation.
- Hands-on experience with CPQ and CLM platforms
- 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 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, Agent2Agent, and Salesforce-native agent platforms such as Agentforce and ClaudeForce. Experience building agents, workflows, or React-based user interfaces directly within Salesforce is preferred.
Pay Transparency
Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visitingMotive Perks & Benefits.
The compensation range for this position will depend on where you reside. For this role, the compensation range is:
United States
$140,000—$160,000 USD
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Notice here.
UK Candidate Privacy Notice here.
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.
All job postings are for existing vacancies. Please note; some interviews or new-hire training sessions may be held in person at one of our global offices.
Originally posted on Himalayas