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# Business Systems Engineer

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/clickup.md)Share8 Sep 2026Published39Listing views3Application actions8 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryClickUp is seeking a Business Systems Engineer to build and operate AI-powered GTM automations and integrations across Salesforce, NetSuite, Workato, MuleSoft, DealHub, and related platforms. The role combines business systems architecture, scripting, iPaaS development, and production LLM or agentic workflows to improve quote-to-cash, order management, revenue operations, and data quality. The engineer owns the full lifecycle of solutions, including discovery, design, implementation, testing, observability, documentation, and continuous optimization. Success requires strong cross-functional partnership with Sales, Finance, Revenue Operations, Customer Success, DevOps, and GTM systems stakeholders.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a technically broad role requiring production expertise across CRM, ERP, integration platforms, APIs, scripting, and emerging AI-agent patterns. The engineer must independently balance rapid delivery with data integrity, operational reliability, and stakeholder expectations in critical revenue workflows.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$162,500US market range$135k–$190k0$209k

AI insightThe disclosed yearly base compensation range is USD 144,000 to USD 181,000, with a midpoint of USD 162,500. For a US-based mid-level to senior business systems/integration engineer with Salesforce, NetSuite, iPaaS, and applied AI expertise, an estimated market range is approximately USD 135,000 to USD 190,000 annually; actual compensation may vary by location, depth of ERP and AI experience, and total rewards.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Salesforce](https://jobicy.com/jobs?search_keywords=Salesforce.md)[NetSuite](https://jobicy.com/jobs?search_keywords=NetSuite.md)[Workato](https://jobicy.com/jobs?search_keywords=Workato.md)[MuleSoft](https://jobicy.com/jobs?search_keywords=MuleSoft.md)[Zapier](https://jobicy.com/jobs?search_keywords=Zapier.md)[LLM automation](https://jobicy.com/jobs?search_keywords=LLM%20automation.md)[Model Context Protocol](https://jobicy.com/jobs?search_keywords=Model%20Context%20Protocol.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[JavaScript](https://jobicy.com/jobs?search_keywords=JavaScript.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)

Sample interview questionsDescribe an end-to-end integration you built between a CRM and ERP system. How did you ensure data accuracy and recover from failures?I would explain the source-of-truth model, event triggers, transformation and validation rules, idempotency approach, retry and dead-letter handling, monitoring, and reconciliation reporting. I would also quantify the business impact, such as reduced order-entry time or fewer billing exceptions.

How would you decide whether to solve a GTM workflow with native Salesforce automation, an iPaaS platform, or custom code?

I would assess complexity, scale, latency requirements, governance, maintainability, security, total cost, and platform ownership. Native automation is best for simple CRM-local logic, iPaaS for maintainable cross-system orchestration, and custom code for complex logic, reusable services, or capabilities the platforms cannot safely provide.

How would you design an LLM-powered workflow for deal-data enrichment while minimizing operational and compliance risk?

I would define a narrow use case and approved data boundaries, use structured inputs and outputs, validate outputs with deterministic rules, require human review for high-impact changes, and log prompts, results, confidence signals, and actions. I would monitor quality and exception rates before expanding the workflow.

A quote-to-cash automation begins producing duplicate orders after a retry event. What steps would you take?

I would immediately contain the issue, identify affected records, and inspect correlation IDs, retry behavior, and downstream responses. I would implement idempotency keys or duplicate checks, correct impacted records through a controlled remediation plan, add alerts and tests, and document the root cause and prevention measures.

How do you communicate technical trade-offs to Sales, Finance, and Revenue Operations stakeholders?

I translate options into business outcomes such as cycle time, revenue risk, data quality, support burden, and delivery timeline. I present a recommended path with assumptions, risks, and measurable success criteria, then confirm alignment through clear documentation and regular progress updates.

At ClickUp, we’re building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what’s possible. 🚀

### Job Summary

As a Business Systems Engineer on the GTM Engineering team, you will design, build, and operate the automation and AI systems that power ClickUp’s Go-To-Market business — spanning core business products and the integration platforms that connect them. This role is AI-native at its core: you won’t just maintain existing workflows, you’ll actively advance our GTM systems with intelligent agents, LLM-powered automations, and next-generation integration patterns built on MCP, ClickUp Super Agents, and modern iPaaS tooling.

You’ll sit at the intersection of business systems architecture and applied AI — partnering with Sales, Finance, Revenue Operations, and fellow GTM Systems engineers to eliminate toil, accelerate revenue workflows, and build the automated, AI-augmented infrastructure the company runs on. This is a hands-on engineering role for someone deeply fluent in enterprise business systems, excited about deploying production AI, and committed to genuine ownership of the platforms they build — directly supporting GTMSOE’s broader mission of operational excellence across the GTM org.

### Key Responsibilities

### AI-Native Automation & Agent Development

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Design and build AI-powered automations and agentic workflows across the GTM tech stack — including Salesforce, NetSuite, Workato, and MuleSoft — to eliminate manual effort and accelerate business operations.

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Develop and deploy ClickUp Super Agents and LLM-based automations to automate tasks such as deal data enrichment, quote generation assistance, order validation, revenue recognition triggers, and exception handling in quote-to-cash workflows.

*

Architect and implement MCP (Model Context Protocol) integrations that allow AI agents to interact with business systems contextually and safely — enabling intelligent, event-driven actions across the GTM platform.

*

Explore and evaluate emerging AI capabilities (RAG, fine-tuning, multi-agent orchestration) and determine which are production-ready for GTM business systems use cases.

*

Build reusable AI templates, automation patterns, and agent blueprints that can be extended across the GTM Engineering team.

### Business Systems Integration & Architecture

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Build and maintain integrations across Salesforce, NetSuite, Workato, MuleSoft, DealHub (CPQ), and other GTM platforms — with a strong bias toward clean architecture, low technical debt, and supportable design.

*

Own end-to-end integration patterns for critical business flows such as lead-to-opportunity, quote-to-cash, order-to-fulfillment, and revenue reporting pipelines.

*

Design data flows and transformation logic that keep business data accurate, consistent, and accessible across systems without creating fragile point-to-point dependencies.

*

Apply a build-vs-buy mindset: evaluate whether a given automation need is best solved with native platform capabilities, iPaaS tooling, or custom code — and make the case clearly.

### Platform Development & Tooling

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Build internal tooling, low-code/no-code solutions, and lightweight applications using platforms such as Retool, Replit, or similar to extend business systems capabilities with minimal overhead.

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Write automation scripts and data transformation logic in Python, JavaScript, or Apex as needed to bridge gaps that platform tooling cannot address natively.

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Utilize Zapier, Workato, and similar iPaaS platforms to orchestrate cross-system workflows that are maintainable, observable, and well-documented.

*

Own the full lifecycle of what you build: discovery, design, development, testing, deployment, documentation, and ongoing optimization.

### Reliability, Observability & Continuous Improvement

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Monitor the health and performance of automations and integrations you own; proactively identify degradation, data inconsistencies, or failure patterns before they impact business operations.

*

Conduct root-cause analysis of integration failures or automation breakdowns and drive durable fixes — not just incident patches.

*

Maintain runbooks and operational documentation so that platform behavior is understandable and recoverable by the broader team.

*

Gather feedback from business stakeholders and iterate on existing automations to improve accuracy, reduce edge cases, and adapt to evolving GTM processes.

### Cross-Functional Collaboration & Stakeholder Engagement

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Partner with Sales, Revenue Operations, Finance, and Customer Success stakeholders to translate business requirements into well-scoped technical solutions.

*

Work closely with GTM Systems Engineering, DevOps, and BSA teammates on architecture decisions, intake prioritization, and delivery execution.

*

Contribute to the GTM Systems Engineering operating model: maintain task hygiene, communicate proactively on large initiatives, and log AI/automation work in the team’s AI Excellence registry.

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Serve as a subject matter expert for business systems automation and AI — educating stakeholders on what’s possible and setting realistic expectations on scope and delivery.

### Qualifications

### Experience

*

3–5+ years in a business systems engineering, systems administration, or integration engineering role.

*

Demonstrated experience building and shipping automations or integrations that delivered measurable business value in production environments.

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Hands-on experience with Salesforce and at least one ERP platform (NetSuite strongly preferred).

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Experience deploying AI or LLM-powered automations in a production business systems context — or a clear, demonstrated trajectory toward it.

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Experience working in a high-velocity environment where you manage multiple concurrent priorities and adapt quickly to changing business needs.

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Optional but valued: experience with DealHub (CPQ), ClickUp, quote-to-cash workflows, or revenue operations systems.

### Skills & Competencies

Technical

*

Salesforce configuration, automation (Flow, Process Builder), Apex, and data model design — admin or developer-level proficiency required.

*

NetSuite workflows, SuiteScript, SuiteBundler, saved searches, and data model — particularly as it relates to order management, billing, and revenue recognition.

*

Hands-on experience with Workato, MuleSoft, Zapier, or comparable iPaaS platforms — including multi-step flows, error handling, and observability.

*

Practical experience with LLM APIs (OpenAI, Claude, etc.), prompt engineering, agentic workflow design, and MCP integrations. Experience with ClickUp Super Agents is a strong plus.

*

Proficient with Python, JavaScript, or Apex for automation scripting and data transformation; comfortable with REST APIs, webhooks, JSON, and OAuth-based integrations.

*

Strong understanding of business systems data models and integration patterns (event-driven, batch, real-time).

Operational & Mindset

*

Ownership: You take full responsibility for the systems you build — from reliability and documentation to stakeholder trust and continuous improvement. You don’t hand off and walk away.

*

Velocity: You move fast, iterate, and ship. You know when “good enough and deployed” beats “perfect and blocked,” and you never sacrifice reliability or data integrity to get there.

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AI & Automation mindset: You default to asking “how can an agent or LLM handle this?” before reaching for a manual workflow — experimenting confidently and evaluating critically.

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Collaboration: You bridge the gap between technical architecture and business impact, asking clarifying questions, challenging assumptions respectfully, and earning trust with the stakeholders you support.

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Growth: You stay current on emerging AI capabilities, evaluate what’s production-ready, and continuously raise the bar on what GTM systems can do.

### What You’ll Work With

*

Salesforce: CRM platform — automations, Flow, Apex, data model, reporting, and CPQ/OTC integrations.

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NetSuite: ERP platform — SuiteScript, workflows, order management, billing, and revenue recognition flows.

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ClickUp Super Agents: AI-powered automation and agentic task orchestration within the ClickUp ecosystem.

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Integration stack: Workato, MuleSoft, Zapier — recipe/flow development, cross-system orchestration, and platform observability.

*

AI & MCP tooling: LLM APIs, Model Context Protocol (MCP), agentic workflow design, and production AI integration patterns.

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Low-code tooling: Retool, Replit, or similar for internal applications and workflow extensions.

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Scripting & APIs: Python, JavaScript, Apex, REST/webhook integrations, and JSON-based data transformation.

Equal Opportunity Employer

ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Privacy Notice

ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our [Global Candidate Privacy Notice.](https://clickup.com/careers-terms/candidate-privacy-notice)

If you are a Philippine Job Applicant, please also see our [Philippine Data Privacy Notice](https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open) for further details.

Visa Sponsorship

Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.

Fraud Alert

ClickUp Talent Acquisition will only initiate contact via an @[clickup.com](http://clickup.com) email or through our official careers portal on [clickup.com](http://clickup.com). We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.

AI Processing Notice

ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates’ employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Show more

[Apply now >](https://jobicy.com/jobs/152814-business-systems-engineer.md)

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