
201 - 500 employees
đł Fintech
đď¸ eCommerce
đ° $58M Series C on 2023-01
Fintech ⢠eCommerce
Tabby is a payment solutions company that allows shoppers to split their purchases into four interest-free monthly payments, making shopping more accessible and convenient. Tabby provides an app that helps users discover and track the best products, brands, and deals. The service is available for a wide range of categories, including fashion, beauty, electronics, and more, and integrates with VISA for broad acceptance. Additionally, Tabby offers business solutions to increase sales by removing price barriers and supports shoppers through its Tabby Care service, which facilitates easy returns and payment holds in case of purchase issues.
đĽ 1 hour ago
đŚđ˛ Armenia â Remote
â° Full Time
đ˘ Junior
đĄ Mid-level
đˇđťââď¸ Engineer
đŤđ¨âđ No degree required
đť Ghost score 11%
Where this job comes from
Posted on Tabby's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Still open on Tabby's site. Checked 59 minutes ago.

201 - 500 employees
đł Fintech
đď¸ eCommerce
đ° $58M Series C on 2023-01
Fintech ⢠eCommerce
Tabby is a payment solutions company that allows shoppers to split their purchases into four interest-free monthly payments, making shopping more accessible and convenient. Tabby provides an app that helps users discover and track the best products, brands, and deals. The service is available for a wide range of categories, including fashion, beauty, electronics, and more, and integrates with VISA for broad acceptance. Additionally, Tabby offers business solutions to increase sales by removing price barriers and supports shoppers through its Tabby Care service, which facilitates easy returns and payment holds in case of purchase issues.
⢠Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams ⢠Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data ⢠Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering ⢠Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback ⢠Automate routine steps in CRM procedures and Jira using automation rules and scripts ⢠Contribute to internal tools and services using TypeScript / Node.js and Go through merge requests and code review ⢠Help roll out and check AI-assisted ticket handling ⢠Measure the effect of every change with data and report it clearly ⢠Prepare and maintain documentation and playbooks for L1 and L2
⢠2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs ⢠Solid experience with Jira: workflows, JQL, automation rules, dashboards ⢠Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing) ⢠SQL for your own analysis: joins, aggregations, working with large tables ⢠Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana) ⢠Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation) ⢠Working with Git, merge requests and code review ⢠Understanding of HTTP, REST APIs and webhooks ⢠Process thinking: you can map a flow, spot the weak step and change it without breaking the rest ⢠Clear writing in English (B2): instructions, task descriptions, short reports ⢠Ownership and autonomy: you drive a change to the end, including agreeing it with other teams ⢠Production experience with Node.js / TypeScript or Go services, and Postgres ⢠Jira administration, Jira Service Management or Assets ⢠Understanding of ITIL processes ⢠Google Cloud and BigQuery ⢠Experience with LLM tools or agents in support: prompts, evaluation, guardrails ⢠Experience at a fintech company and/or a startup
⢠Full-time B2B contract ⢠Fully remote setup ⢠Up to 20% tax allowance ⢠22 paid leave days annually ⢠Stock options (ESOP) in a fast-scaling, pre-IPO company ⢠Flexi benefits you can use for wellness, travel, or learning ⢠Work alongside a high-performing, international engineering team in a global fintech unicorn
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đ October 21
CUDA Engineer optimizing GPU kernels and LLM inference performance for MWDN, a global IT outstaffing company. Investigating GPU bottlenecks, memory access, and low-level systems.