远程工作雷达

销售系统工程师,企业运营

Sales Systems Engineer, Enterprise Operations

开发工程市场运营职能支持未标注地域
公司Perplexity
薪资$200,000 - $230,000
工作地点San Francisco / Austin / New York City
地域资格未标注地域
时区要求无特别要求
用工类型FullTime
发布时间2026-05-19
数据来源Ashby
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关于Perplexity

Perplexity是AI时代的答案引擎。我们正在扩大一个快速增长的企业业务,并构建运行该业务的操作系统。我们的GTM堆栈现代化、以API为中心,并且原生支持Snowflake。我们在购买之前先自行构建,并且快速交付。

职位描述

我们正在招聘一名销售系统工程师,负责管理企业销售流程下的技术层。该职位负责CPQ、账户和潜在客户评分、数据编排以及连接Salesforce、Snowflake和其他GTM堆栈的集成。

你将负责交易定价、报价、评分、路由和跟踪的技术实现。你将直接与销售、财务、市场运营和产品团队合作,构建一个能够从当前状态扩展到十亿美元ARR业务的系统。

这是一个构建者角色。你应该能自如地在Snowflake中编写SQL,构建Salesforce流程,配置CPQ规则,调试Workato配方,并在销售人员注意到之前用Python脚本解决数据问题。

你将负责的内容

- CPQ:报价到现金配置、产品目录、定价规则、审批流程、折扣治理、合同生成。与财务和法务合作建立保障机制。

- 评分:账户评分、潜在客户评分、PLG激活评分、意图信号聚合。在Snowflake中构建和维护评分模型,并通过反向ETL推送到Salesforce。

- 数据编排:Polytomic、Hightouch和Workato管道,用于在Snowflake、Salesforce、NetSuite、Apollo、Unify和其他堆栈之间传输数据。负责SLA、监控和故障响应。

- Salesforce工程:流程、验证规则、公式字段、自定义对象、需要时的Apex、Lightning页面配置、权限集、沙盒管理。

- 集成:在GTM工具之间进行API级别的集成工作。当现成的解决方案无法满足需求时,构建自定义连接器。

- 路由和所有权:账户路由逻辑、机会分配规则、区域管理、ROE执行。

- 报告基础设施:为销售漏斗、预测、薪酬和高管报告提供支持的Snowflake模型。与分析团队合作构建可视化层。

我们寻找的人选

- 在高增长SaaS公司从事销售系统、RevOps工程、Salesforce工程或企业系统工作5年以上

- 深入掌握Salesforce:流程、公式字段、验证规则、自定义对象、共享模型,必要时具备Apex经验

- 具有实际的CPQ经验(Salesforce CPQ或其他CPQ平台)

查看英文原文

About Perplexity

Perplexity is the answer engine for the AI era. We are scaling a fast-growing enterprise business and building the operating system that runs it. Our GTM stack is modern, API-first, and Snowflake-native. We build before we buy, and we ship.

The Role

We are hiring a Sales Systems Engineer to own the technical layer underneath our enterprise sales motion. This person runs CPQ, account and lead scoring, data orchestration, and the integrations that connect Salesforce, Snowflake, and the rest of our GTM stack.

You will be the technical owner of how deals get priced, quoted, scored, routed, and tracked. You will work directly with sales, finance, marketing ops, and product to build a system that scales from where we are now to a billion-dollar-ARR business.

This is a builder role. You should be equally comfortable writing SQL in Snowflake, building Salesforce flows, configuring CPQ rules, debugging a Workato recipe, and shipping a Python script to fix a data problem before the seller notices.

What You Will Own

- CPQ: Quote-to-cash configuration, product catalog, pricing rules, approval workflows, discount governance, contract generation. Partner with Finance and Legal on guardrails.

- Scoring: Account scoring, lead scoring, PLG activation scoring, intent signal aggregation. Build and maintain scoring models in Snowflake, push scores to Salesforce via reverse ETL.

- Data orchestration: Polytomic, Hightouch, and Workato pipelines that move data across Snowflake, Salesforce, NetSuite, Apollo, Unify, and the rest of the stack. Own SLAs, monitoring, and breakage response.

- Salesforce engineering: Flows, validation rules, formula fields, custom objects, Apex when needed, Lightning page configuration, permission sets, sandbox management.

- Integrations: API-level integration work across our GTM tools. Build custom connectors when off-the-shelf does not cut it.

- Routing and ownership: Account routing logic, opportunity assignment rules, territory management, ROE enforcement.

- Reporting infrastructure: Snowflake models that power pipeline, forecast, comp, and exec reporting. Partner with Analytics on the visualization layer.

What We Are Looking For

- 5+ years in Sales Systems, RevOps Engineering, Salesforce engineering, or Enterprise Systems at a high-growth SaaS company

- Deep Salesforce expertise: flows, formula fields, validation rules, custom objects, sharing model, Apex if needed

- Hands-on CPQ experience (Salesforce CPQ, Stripe Billing, Maxio, or similar) including pricing, approvals, and quote generation

- Strong SQL. You can write production-grade Snowflake queries and build dbt-style transformation logic.

- Production experience with reverse ETL (Polytomic, Hightouch, Census) and iPaaS (Workato, Tray, Zapier at scale)

- Comfort with REST APIs, webhooks, and scripting in Python or JavaScript

- A bias for building. You have shipped custom solutions when the vendor option was wrong.

- Operator mindset. You read tickets, you ship fixes, you do not need a PM to translate seller requests.

Nice to Have

- Familiarity with PLG-to-enterprise motion and scoring users into accounts

- Experience with Apollo, Unify, Loops, Gatsby, Momentum, Floqer, or similar GTM tools

- NetSuite or Metronome billing exposure

- Comp plan tooling (Everstage, CaptivateIQ, QuotaPath)

- Background in entity resolution, dedup, or domain enrichment

How We Work

- Build over buy when it earns its keep

- Snowflake is the source of truth, Salesforce is the system of action

- Live data over polling

- Real people own accounts, never queues

- Direct, fast, low-process. We delete and resend over debate.

What Success Looks Like

- 90 days: You own CPQ, scoring, and orchestration. Nothing breaks silently. Sellers know who to call.

- 180 days: Quote-to-cash is clean. Scoring drives real routing decisions. Snowflake-Salesforce sync is boring.

- 12 months: You have replaced two vendors with custom builds, shipped the next generation of our scoring system, and made the seller experience visibly better.

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