Sales Operations Engineer
DatacomChristchurch, Canterbury, New Zealand12 hours ago
Job descriptionCollaborate with platform owners (e.g. HubSpot and Zuora) to implement processes and workflows that deliver productivity and efficiency gains for Smartly. Leverage data to develop workflow automation within HubSpot and Zuora to streamline lead‑to‑revenue processes, reduce and / or automate handoffs between teams, and identify signals for churn reduction. Implement automation to improve data entry, validation, and workflow consistency. Ensure that the revenue tech stack integrations are synchronised and optimised for accuracy. Collaborate with platform owners to improve system integrations and workflow efficiency. Work with Product and Engineering to implement API‑driven integrations between revenue platforms and Smartly’s product ecosystem. Collaborate with data engineers and data scientists to enable real‑time revenue analytics and dashboards, enabling business teams to track pipeline health, conversion rates and revenue KPIs. Implement A / B testing for process changes, measuring impact on revenue efficiency and deal velocity. Monitor revenue operations system performance, data synchronisation issues and automation failures, troubleshooting as needed. Work closely with data and business teams to align on revenue data solutions needs. Collaborate with Sales, Marketing, Customer Success and Finance to improve revenue data flows, automation and reporting accuracy. Act as a bridge between technical and business stakeholders, translating revenue operations needs into scalable system solutions. Carry out other duties as required from time to time. Bachelor’s degree in Data, Engineering, Statistics or a related quantitative field. Demonstrable track record delivering complex data engineering and analytics projects successfully. Technical expertise : Proficient in Python and SQL for data handling; advanced Excel skills (formulas, pivot tables, macros). Working knowledge of cloud platforms. Data management : Experience in data cleaning, transformation, validation and reporting. CRM & Billing Systems knowledge is a bonus. Familiarity integrating revenue platforms using API calls, middleware or no‑code automation tools (e.g. n8n, Zapier) is also a bonus. Experience in producing data visualisation solutions using tools like Power BI or similar platforms. Strong communication skills : ability to explain complex data processes to non‑technical stakeholders. Problem‑solving : aptitude for identifying and resolving data‑related issues efficiently. Attention to detail : meticulous in ensuring data accuracy and consistency. Strong customer focus, emotional intelligence and business acumen. Experience and proficiency sourcing, validating and documenting requirements. Data engineering expertise : Solid understanding of data engineering fundamentals and concepts; familiarity with orchestration, ingestion and transformation of multisource datasets. Data modelling : Solid understanding of data modelling for analytics purposes. Collaboration and teamwork : Thrive working with a wide community of business and technical stakeholders. Comfortable working independently and collaborating across functions to deliver high‑quality solutions. Fresh thinking – committed to continuous improvement and develops innovative and creative solutions that add value to Smartly and its customers. Positive with ability to thrive in a constantly changing environment. Quality‑driven – guided by principles and values and acts with integrity to deliver superior outcomes. Organised and results oriented – efficient time‑management skills and a can‑do attitude. Open and honest – openly shares knowledge, sets expectations, provides meaningful advice and gives and receives constructive feedback. Proactive – demonstrates strong initiative and is comfortable with a high level of autonomy. Self‑management – effectively manages responsibilities and objectives, adapts to innovation and improved ways of working.
Company Overview
We exist to make it simpler for Kiwi businesses to look after their people. We’re known as the simple way to sort your payroll for over 20,000 businesses. Our slick software combined with our awesome support team help businesses pay their people on time, accurately and in line with legislation. As a fast‑growing FinTech expanding into adjacent markets, Smartly offers a fast‑paced, fun work environment with great opportunities for personal and professional development.
Location : Christchurch, Canterbury, New Zealand.
What We’re Looking For
We’re looking for a Revenue Operations Engineer with a background in data engineering to optimise Smartly’s platform infrastructure that supports our revenue operations. Working closely with the Head of Revenue Operations, this role enables data‑driven decision‑making, automation of lead‑to‑revenue processes, and continuous improvements in revenue intelligence and forecasting. The Revenue Operations Engineer collaborates with data engineering, platform owners, and cross‑functional teams to enhance Smartly’s revenue tech stack and drive operational efficiencies.
What Does the Job Involve?
Revenue Data Management & Process Optimization
- Collaborate with data engineering and data analytics to build and manage data pipelines to integrate revenue data from HubSpot, Zuora, and other business systems.
- Drive the creation of processes to transform and structure revenue data for analytics and reporting.
- Implement data cleansing, normalisation, and enrichment strategies to ensure revenue data quality and governance.
- Automate revenue reporting and forecasting by integrating data sources into a unified analytics framework.
- Support revenue analytics initiatives by designing data models for pipeline, customer lifecycle, and revenue trends.
Revenue Automation
Revenue Technology & Platform Optimisation
Cross‑Functional Collaboration
Other Duties
Requirements
Experience and Qualifications
Experience And Skills
Key Competencies
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Sales and Business Development
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Sales Engineer • Christchurch, Canterbury, New Zealand
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