Staff Software Engineer, Sales Data & Agents

The shape of it

In the posting’s own words

CRM is where revenue teams record their work, however they generally lack a solid intelligence layer. Objects are customized past recognition, history is incomplete, and reps route around whatever slows them down. As a result, the sales intelligence layer increasingly lives in a Data+AI platform. We are looking to productize with data & agents what our customers have been already manually building in our platform.

What it asks for · 10

• 10+ years of engineering experience, including time as a tech lead, or leading other tech leads, on complex enterprise software projects
• Deep hands-on knowledge of at least one major CRM data model and platform (Salesforce, Dynamics, HubSpot): objects, sharing and permission models, history tables, bulk and change-data APIs, platform limits
• Real understanding of how reps and managers use these tools day to day, and where forecasting, pipeline hygiene, and territory data break down
• Experience shipping production agents with tool use, permissioned writes, and human-in-the-loop review
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback
• Combination of technical and people leadership, for example, as a TLM (Nice to have)
• Built revops, forecasting, or CPQ-adjacent products (Nice to have)
• Time spent in-house on a Salesforce platform team or at an SI (Nice to have)

What the job covers

• Lead the modeling of sales/CRM objects, relationships, and history into a representation agents can reason over reliably
• Lead development of agents used by reps, sales management, and revenue operations
• Define the write path back into the system of record: permissions, validation, idempotency, audit, and human approval
• Help define & lead the implementation of the initial use cases on top of the data & agents
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency

Tools and skills named

Words the posting leans on

• data9×
• agents6×
• platform6×
• lead5×
• product4×
• customers3×
• engineering3×
• history3×
• nice3×
• objects3×
• reps3×
• technical3×
• building2×
• business2×
• complex2×
• crm2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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