Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
GTM System Engineer
- Salary
- Undisclosed
- Department
- Software Engineering
- Employment
- Full Time
- Experience
- Open level
- Published
- Apply before
- 12 Dec 2026
- Listing views
- 13
- Application actions
- 0
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About this role.
About Us:
Nivoda: where innovation and gemstones meet
At Nivoda, we help jewellery retailers and gemstone suppliers trade more easily. Our B2B marketplace connects jewellery businesses of all sizes with global diamond and gemstone supply.
Nivoda has more than 400 employees across the world. Our platform helps buyers and sellers trade diamonds and gemstones securely, efficiently and at competitive prices.
The Data & Financial Platform team
The Data & Financial Platform team owns Nivoda’s data platform plus the shared financial capabilities of the marketplace. Its job is to make core data and financial systems reliable, useful and scalable.
This role sits in the team but works day to day with GTM. You will work with the Head of Data, engineers, analysts, Sales and Marketing as we rebuild Nivoda’s GTM infrastructure.
About the role
Nivoda is rebuilding its GTM infrastructure. Too much of the funnel still relies on manual steps, disconnected tools and fragile hand-offs. This role exists to replace them with reliable systems and automation.
You will work across our platform, GTM Engine, Salesforce, Customer.io, enrichment services, Snowflake and other tools. Salesforce is an important integration point, but you will not own it. Start with the problem, choose the simplest sensible approach, then build or configure what is needed.
This is a hands-on engineering role working closely with the Head of Data and experienced engineers. You will have context and clear priorities, with room to work through the detail, propose an approach and ship it safely.
What would you be doing?
Work with GTM stakeholders to turn unclear process requests into clear technical requirements and a sensible implementation approach.
Build integrations, customer or prospect event flows, automations and changes to our GTM Engine. Use APIs, webhooks, queues, scheduled workflows or small services where they fit.
Choose build, buy or configure based on the problem. Prefer native platform capability first, tooling or middleware second, custom code where it creates real value.
Build for production from the start. Test common failure paths, handle duplicates and retries, then add the monitoring needed to spot problems quickly.
Ship and support what you build using version control, code review and safe deployment. Help troubleshoot or recover failures after launch.
Work with Salesforce, other platform owners and our Commercial Data Analyst to integrate cleanly while making sure systems emit the data needed to measure performance.
Document important flows, decisions and recovery steps so the stack does not depend on one person.
What do we need from you?
2+ years in software, systems or integration engineering. You have shipped real integrations or services using APIs, webhooks or event-driven systems.
Solid programming ability in Python, JavaScript or TypeScript. Working SQL plus confidence using Git and code review.
Experience integrating with business systems such as CRM, payments, finance, marketing or operations platforms. Salesforce experience is useful but not required.
You can work directly with non-technical stakeholders. You can challenge an unclear request and turn the underlying need into something buildable.
You can learn unfamiliar systems quickly, then choose the simplest solution that will hold up in production.
You think about failure cases such as unavailable APIs, duplicate records or conflicting updates before they become production problems.
Nice to have
Experience at a marketplace or a company selling to small businesses at volume.
Hands-on time with an iPaaS or workflow tool such as n8n, Zapier or Workato.
Familiarity with tools in our stack such as Snowflake, Customer.io, Gong, Clay or similar systems.
Experience with cloud runtimes, CI/CD, observability or production support.
Our culture and what we offer
Flexible working hours and a vibrant company culture
Private health insurance
Opportunities for growth and learning
Flexible compensation card (meals, transport, childcare)
Unlimited holiday allowance
The chance to join during an exponential expansion phase
Equal opportunity
Nivoda is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Even if it seems you don’t meet 100% of our musts, don’t let that stop you: we would still love to hear from you.
Please submit your CV in English.
Not the right role for you right now? Join the Nivoda Talent Pool and we will keep you in mind for future opportunities.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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Core skills
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Sample interview questions
I would first identify the business outcome, users, triggering events, source-of-truth systems, and measurable success criteria. I would document assumptions and edge cases, propose a simple implementation option, and validate it with stakeholders before building.
I use idempotency keys or durable event identifiers, persist processing state where appropriate, and implement bounded retries with exponential backoff. I also add dead-letter handling, alerting, and a documented recovery process for failures that need manual review.
I prefer native configuration when it reliably meets the requirement, is maintainable by the owning team, and avoids unnecessary operational overhead. I use custom code when the logic, reliability, scale, or integration behavior cannot be safely achieved with native capabilities or middleware.
I would define required events, identifiers, timestamps, ownership fields, and status transitions with analytics stakeholders. I would validate data completeness and consistency at each system boundary and make the flow observable through logs, metrics, and reconciliation checks.
I would use version control, peer review, automated tests, environment-specific configuration, and a staged rollout where possible. Before release, I would test failure paths, define rollback or recovery steps, and monitor key error and throughput metrics after deployment.
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