> Markdown version of [/jobs/ext/2713850-software-developer-data-integrations-sales-gtm-ai-operations](https://www.wearedevelopers.com/jobs/ext/2713850-software-developer-data-integrations-sales-gtm-ai-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Developer, Data & Integrations, Sales GTM - AI Operations - **Company:** Cisco Systems, Inc. - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $203,000.0 - $258,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, User Authentication, Software as a Service, Customer Data Management, Information Engineering, Python (Programming Language), Salesforce.Com, Data Streaming, Systems Integration, IT Architecture, Build Management, Information Technology, Graphql, Data Management, Webhooks, Data Pipelines, Cisco - **Published:** September 4, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88183304/1 ## About the Role * 7+ years of software or data engineering experience building production integrations, APIs, and pipelines. *Experience integrating with CRM (Multsoft APIs) and/or SaaS data platforms; experience with REST/GraphQL, webhooks, and authentication. * Data pipeline experience (batch and/or streaming) with a focus on reliability, observability, and data quality. * Experience inferring whether an action happened from conversation and CRM data. * Bachelor's degree in Computer Science or a related field Preferred Qualifications * Salesforce platform depth; experience with Gong or other conversation-intelligence APIs. * GraphQL, knowledge-graph, or "supergraph" experience. * Demonstrable familiarity with LangGraph and Python. * Familiarity with sales data (pipeline, bookings, seller activity). ## Description The AI Center of Excellence for Sales is Cisco's engine for putting AI in the hands of every seller. Our mission is direct and ambitious: give sellers more time with customers by taking the non-selling work off their plate. We turn Cisco's best go-to-market plays into seller-facing AI agents that tell a seller - in the flow of the deal - exactly what to do next to win. We do it in close partnership with two teams: the Global Specialist Organization, who owns go-to-market, and the GTM IT engineering team, who we design and build alongside and who runs our AI in production at scale. We are small, senior, and close to the field, and we move fast. You'll join that pod - a small, senior team led by the Director, GTM AI Architecture - that prototypes fast, proves value with real sellers, and builds shoulder to shoulder with GTM IT engineering to get that work into production. This is a genuinely joint build: you will spend as much time in GTM IT's design reviews as in our own. Your Impact * Feed the agents. Build the integrations that pull account, customer, and opportunity context from a variety of platforms and systems, in partnership with GTM IT. * Write back to the systems of record. Push agent outputs where they belong - tag the deal in Salesforce, log the recommended action. * Close the loop. Instrument the hardest, highest-value step: detecting from Conversational Intelligence and CRM signals whether a recommended action was actually executed. * Build reliable plumbing. Create well-monitored data pipelines and APIs between the agents and the GTM stack, with an eye for data quality and observability. * Ship to production, with GTM IT. Build the integrations and their contracts jointly with GTM IT engineering - aligning the contracts up front, so what goes live is planned for in advance. ## Related Videos - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Building the Next Generation of Software](https://www.wearedevelopers.com/videos/100186-building-the-next-generation-of-software) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Beyond Webhooks: The Future of Scalable API Event Delivery](https://www.wearedevelopers.com/videos/100312-beyond-webhooks-the-future-of-scalable-api-event-delivery) - [Creating bots with Dialogflow CX](https://www.wearedevelopers.com/videos/587-creating-bots-with-dialogflow-cx) - [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Top ChatGPT Plugins for Developers in 2023](https://www.wearedevelopers.com/magazine/259-the-top-chatgpt-plugins-for-developers-in-2023) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)