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Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a hands on Middle MLE Infrastructure Engineer to strengthen a shared Data and AI platform. You will focus on execution across CI/CD standards, cloud resource management, identity and access security, observability, and reliable deployments that support other teams. The Shared Services Platform organization builds and operates the core environment for Data and AI products. You will work on a platform that standardizes CI/CD, security, observability, and cloud resource management so product squads can deliver on reliable infrastructure. Define and maintain homogeneous CI CD standards and pipelines for data and AI across teams. Manage cloud resources, capacity, and cost through provisioning, autoscaling, and optimization. Own identity and access management and centralized credential governance. Automate security policies through infrastructure as code and SecOps practices. Run vulnerability scanning and incident response playbooks. Build observability through metrics, dashboards, and proactive alerting for platform and products. Ensure reliable versioning and deployment standards across the platform. Act as a platform enabler for product squads on environment and product infrastructure. Proven experience as a Platform Engineer, DevOps Engineer, or MLOps Infrastructure Engineer. Experience with infrastructure as code using Terraform and configuration automation. Experience with Docker, Kubernetes, and autoscaling. Experience with CI CD tooling such as GitHub Actions and GitLab CI. Experience with Git workflows including GitFlow. Experience with Google Cloud Platform resource management, GCP IAM, billing, and cost control. Experience with observability tools such as Prometheus, Grafana, Datadog, or similar monitoring solutions. Experience with IAM, vulnerability scanning, data masking, and policy management. Ability to communicate effectively with technical and non technical stakeholders. Experience working in Agile environments. Fluency in Spanish. Exposure to MLOps platforms, model registry, and model serving infrastructure. Experience with FastAPI or Flask. Familiarity with BigQuery, pipelines, and lakehouse or warehouse environments. Familiarity with GenAI tooling such as LangChain and Agents.

Location: New York, NY Workplace: Remote We are looking for an Analytics Engineer to join a team dedicated to building the governed data foundation that powers decision-making across Talkiatry. You'll work alongside a collaborative team of engineers to design and maintain reliable, well-documented data models that stakeholders can trust and explore independently. ABOUT TALKIATRY: Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.   YOU WILL: - Build and maintain clean, scalable, well-documented data models using dbt, Snowflake, and Databricks that serve as the trusted foundation for decision-making across the org - Partner with stakeholders to understand business questions and translate them into governed, reusable data products — not one-off reports - Contribute to a self-service analytics environment where stakeholders can independently explore data through well-structured, reliable models - Adhere to and help evolve our data governance, data quality, and documentation standards - Support dashboard and reporting needs where appropriate, with an emphasis on enabling stakeholders rather than building on their behalf - Collaborate with data and engineering teams to ensure data products are integrated into the broader product and engineering development process from the start YOUR QUALIFICATIONS: - 2 to 3 years of experience in Analytics Engineering, Data Engineering, or a closely related role - Proficient SQL skills with a working understanding of data modeling concepts (star schema, slowly changing dimensions, grain) - Hands-on experience with dbt and a cloud data warehouse such as Snowflake or BigQuery - Familiarity with at least one BI or data exploration tool such as Omni, Looker, or Tableau - A bias toward building reusable, documented, and governed data products over ad hoc solutions - Exposure to working cross-functionally with non-technical stakeholders to understand business needs - Clear communication skills with the ability to explain data concepts and trade-offs to a range of audiences WHY TALKIATRY: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0. At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

Location: Intellias Meet your recruiter Viktoriia Tochylova viktoriia.tochylova@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Scala Engineer Senior Bulgaria, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world. What project we have for you Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field. What you will do Design, develop, and maintain scalable backend services using Scala. Build reliable event-processing, notification, and integration services. Develop APIs and distributed system components in highly available environments. Deliver scalable, fault-tolerant solutions that provide business value. Contribute to system architecture, technical design, and engineering decisions. Troubleshoot complex production issues and perform root-cause analysis. Support integration, acceptance, and quality assurance testing activities. Maintain high software quality through testing, reviews, documentation, and best practices. Mentor engineers and promote technical excellence within the team. Collaborate with cross-functional stakeholders in Agile environments. Own services throughout their lifecycle, from design and development to deployment and production support. Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest). What you need for this Mandatory 5+ years of experience with Scala designing, developing, deploying, and maintaining backend services and distributed systems in production. 10+ years of software engineering experience (preferrably Java) 5+ years of experience building distributed systems using Akka (Streams, Actors, HTTP, Persistence) or Apache Pekko . 5+ years of experience with AWS Strong experience designing and operating event-driven distributed systems using technologies such as Kafka , AWS Kinesis , or equivalent messaging platforms . Strong experience with functional programming concepts and libraries such as Cats , Cats Effect, or ZIO. Hands-on experience with Docker . Strong experience with PostgreSQL and SQL query development. Experience with CI/CD tools and automated deployment pipelines (preferably GitHub Actions ) Experience designing and operating event-driven architectures and stream-processing systems. Experience with microservice architectures. Experience working within Agile software development environments. Strong understanding of software architecture and solution design. Strong ownership mindset with the ability to independently drive complex technical initiatives. Nice to have: Experience with Java 17+/21. Experience with Spring Boot. Experience with Hibernate/JPA. Experience with DynamoDB. Experience with CloudFormation. Experience with Flyway. Experience with Snowflake, BigQuery, or Databricks. Experience processing telemetry or event data at scale. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Scala

Location: Remote Job Title: Marketing Automation Engineer (Braze) Build the infrastructure powering the future of restaurant payments At inKind, we’re building a new way to drive customers to restaurants. We power the relationship between millions of users and thousands of restaurants. We are looking for a Marketing Automation Engineer at inKind who can optimize the consumer relationship with a mix of marketing best-practices, strong understanding of data flow, and the ability to translate it to genuine personalization while technically executing on them at scale. You’ll collaborate closely with business and marketing teams to build systems that directly impact the restaurants and users who rely on inKind. As a Marketing Automation Engineer at inKind, you will be responsible for implementing marketing campaigns. You will receive creative briefs and project plans, and be responsible for drafting technical implementation docs and building them. Much of this building will be done dashboard-side in Braze Canvases. Optimizing platform usage, data-based triggering, and understanding user journeys are all key aspects of this role. Our team has a builder-first mindset, leveraging modern Consumer Engagement Platform (CEP) tools such as Braze and data warehouses like Snowflake, to power rich datasets of user information to use for personalization and customer lifecycle management. We are looking for  someone who can turn that data into dynamic, well-timed, high-relevance communication across email, SMS, and push — at scale. This role would have the opportunity to create genuine personalization engines using best-in-class tooling and data models. What You’ll Work On Platform Execution Architect and build complex journey flows - multi-branch, behavior-triggered, time-delayed - that respond dynamically to what users do in the app Create sophisticated email, SMS, and push templates using dynamic templating (in Liquid): conditional content blocks, personalized variables, abort conditions, and live data pulls Manage subscription and compliance workflows for SMS opt-in/opt-out, email unsubscribe, and push permission states and follow TCR regulations QA (Verify) every campaign before launch and own responsibility post-launch: audience spot-checks, template rendering validation, link tracking, SMS encoding, and cross-client email rendering Translate high-level marketing briefs into well-defined audience definitions, validating logic against actual user data before launch Understand CEP best practices to inform cadence of messaging, frequency capping, and prioritizing of marketing communications across lifecycle and ad-hoc campaigns Technical Rigor Write, understand, and document Liquid code to build dynamic content blocks Query our data warehouse (Snowflake) using SQL or review API payloads to validate that events and attributes match expected values, QA before launch, as well as triage potential issues. Use platform-native diagnostic tools (message logs, user lookup, event streams) to diagnose issues without needing an engineer to triage alongside you Understand technical limitations of campaigns and recommend well-scoped solutions Segmentation & Personalization Build precise, multi-condition audience segments using a full range of segmentation capabilities Maintain a clean, documented segment library — consolidating redundant definitions and flagging when underlying data changes affect targeting Partner with the cross-functional teams to define and action on lifecycle stages (active, lapsing, high-value, etc.) and build reusable and trackable segments that reflect those definitions reliably Build and maintain a reusable component library: shared content blocks, brand-compliant modules, and snippet logic the team can use without rebuilding from scratch Minimum Qualifications 4+ years of experience with a major CEP/CRM or marketing automation platform (Braze, Shopify, Iterable, Klaviyo, or equivalent) 2+ years of experience with Braze Deep expertise in journey/canvas building — multi-step, behavior-triggered flows with branching logic, delays, and channel mixing Dynamic templating skills: conditional blocks, variable logic, and live data integrations Experience with audience segmentation using behavioral data, custom attributes, and event properties Solid understanding of contact data models — user profiles, identified vs. anonymous users, subscription and consent management Ability to read API responses and event payloads to self-diagnose data issues without engineering support Liquid code proficiency Deep understanding of email deliverability fundamentals: list hygiene, bounce handling, unsubscribe management, and sender reputation Understanding of email domains/behavior and record management SMS compliance knowledge: opt-in/opt-out mechanics, quiet hours, carrier filtering, and message encoding Familiarity with TCR rules and regulations Preferred Qualifications SQL proficiency and experience working with a cloud data warehouse (Snowflake, Redshift, or BigQuery) for CRM analytics or audience building Background in consumer apps, marketplaces, or loyalty/rewards programs where lifecycle marketing directly drives repeat behavior Familiarity with how CRM data flows from a backend application via REST API or event streaming Experience with in-app messaging, content cards, or push notification strategy beyond transactional sends Some of Our Benefits Generous PTO and company holiday policy + company-paid Short Term Disability 100% employer-covered health and dental insurance; higher-tier and dependent coverage options available Vision plan available at employee cost Child care benefits and generous parental leave Dog-friendly Austin office with great views of downtown Daily lunches and snacks for in-office team members Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Location: Intellias Meet your recruiter Karolina Sowa karolina.sowa@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Scala Engineer Senior Bulgaria, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world. What project we have for you Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field. What you will do Design, develop, and maintain scalable backend services using Scala. Build reliable event-processing, notification, and integration services. Develop APIs and distributed system components in highly available environments. Deliver scalable, fault-tolerant solutions that provide business value. Contribute to system architecture, technical design, and engineering decisions. Troubleshoot complex production issues and perform root-cause analysis. Support integration, acceptance, and quality assurance testing activities. Maintain high software quality through testing, reviews, documentation, and best practices. Mentor engineers and promote technical excellence within the team. Collaborate with cross-functional stakeholders in Agile environments. Own services throughout their lifecycle, from design and development to deployment and production support. Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest). What you need for this Mandatory 3+ years of experience with Scala designing, developing, deploying, and maintaining backend services and distributed systems in production. 8+ years of software engineering experience (preferrably Java) 3+ years of experience building distributed systems using Akka (Streams, Actors, HTTP, Persistence) or Apache Pekko . 3+ years of experience with AWS Strong experience designing and operating event-driven distributed systems using technologies such as Kafka , AWS Kinesis , or equivalent messaging platforms . Strong experience with functional programming concepts and libraries such as Cats , Cats Effect, or ZIO. Hands-on experience with Docker . Strong experience with PostgreSQL and SQL query development. Experience with CI/CD tools and automated deployment pipelines (preferably GitHub Actions ) Experience designing and operating event-driven architectures and stream-processing systems. Experience with microservice architectures. Experience working within Agile software development environments. Strong understanding of software architecture and solution design. Strong ownership mindset with the ability to independently drive complex technical initiatives. Nice to have: Experience with Java 17+/21. Experience with Spring Boot. Experience with Hibernate/JPA. Experience with DynamoDB. Experience with CloudFormation. Experience with Flyway. Experience with Snowflake, BigQuery, or Databricks. Experience processing telemetry or event data at scale. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Scala

Location: Warszawa, Poland; Almaty, Kazakhstan; Belgrade, Serbia; Yerevan, Armenia; Sofia, Bulgaria; Larnaca, Cyprus; Tbilisi, Georgia; Berlin, Germany; Tallinn, Estonia; Rīga, Latvia; Vilnius, Lithuania; Lisboa, Portugal; Madrid, Spain Workplace: fully We are looking for a Senior Python Engineer: Language Proficiency: Upper-Intermediate Employment type: Full time Candidate Location: Poland, other EU countries, Kazakhstan, Serbia, Armenia, Georgia Working Time Zone: CET Start: asap Planned Work Duration: 4 months with possible prolongation 👥 Customer Description: A global mobility and urban services platform enabling users to book rides and other services while negotiating fares directly with service providers. 🧩 Project Description: The BI Analytics team develops internal analytics products powered by LLM agents.The initial scope includes a natural-language data assistant and a service for generating management presentations with AI-driven insights. ⚙️ Project Phase: Ongoing 🤝 Soft Skills: • Proactive approach • Ability to work independently 💡 Hard Skills / Must Have: • Russian language is a must • 4+ years of commercial Python backend development • Production experience with LLM agents, tool use, MCP, evaluations, and LLM APIs or agent frameworks • Strong SQL and cloud DWH experience, preferably BigQuery • OAuth, IAM, Docker, and CI/CD • Daily use of coding agents and ability to review their output ✨ Hard Skills / Nice to Have: • BigQuery and GCP • Claude Agent SDK, Anthropic API, or Strands Agents • React 📌 Responsibilities and Tasks: • Build product features from prototype to production • Develop AI agents and web services for internal analytics use cases • Integrate agents with data sources and internal systems • Set up user access, authorization, cloud deployment, and service maintenance • Build evaluations and monitoring for LLM components • Fix defects and improve solutions based on user feedback 🧪 Technology Stack: Python, Strong SQL, experience with a cloud DWH (BigQuery preferred), Docker, CI/CD, AI tools 📞 Interview stages: • English check (15 minutes) • internal technical interview (1-1,5 hour) • client interview (1 hour) • client interview – cultural fit (45 minutes) What we offer Model: B2B contract with Bonapolia - one contract, one monthly invoice Rate: negotiated per candidate seniority and client budget Payment: monthly invoice, paid on the same schedule the client pays us (30 days) Contract written under your country's law We handle the client-side paperwork: MSA, NDA, invoicing 🏢 About Bonapolia Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US. More at bonapolia.com 📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a hands-on Data Engineer (Middle/Senior) to design, build, and maintain reliable, scalable pipelines that keep information timely, clean, secure, and well-structured for downstream consumers. This is an execution-focused role combining pipeline development, query and cost optimization, data governance, and production monitoring. The engineer will work closely with business, analytics, and data science teams to make data available and trustworthy across the organization. The Data & AI chapter of the Passenger Journey builds and operates the data foundation that turns raw data into trusted, strategic assets for analytics, product, and business teams. The team works on Google Cloud Platform (GCP) under Agile and DataOps practices, with a tech stack centered on BigQuery and SQL, Dataform (including assertions) for transformation, and Python (Pandas) for processing and automation. Pipelines run on Cloud Run, Cloud Run Jobs, Dataflow, Pub/Sub, Cloud Storage, Cloud SQL, and Cloud Scheduler, with Git/GitLab, CI/CD, and Terraform for delivery, and IAM and policy tags for access control. Data is organized under a medallion architecture (Bronze, Silver, Gold), with cost and performance optimization (FinOps) treated as a first-class concern. Design, implement, and maintain reliable, scalable ingestion and transformation pipelines that ensure data quality, integrity, and availability for business and analytics. Optimize processing and storage by reducing execution time and costs (FinOps) across pipelines and queries to maximize the value of data. Apply data governance standards, including quality, naming conventions, cataloging, and a medallion architecture (Bronze, Silver, Gold), to ensure consistency and traceability. Protect sensitive data through role-based access control (IAM) and policy tags, ensuring compliance with applicable regulations and standards (GDPR, LGPD, ISO, and local regulations). Monitor pipelines, respond to incidents, and adapt them to new business requirements while meeting availability and performance SLAs. Enable controlled, cross-functional access to data for broad consumption. 3+ years of proven experience as a Data Engineer or in a similar role. Strong SQL skills and hands-on experience with BigQuery, including query optimization, partitioning, and clustering. Experience building and maintaining ELT/ETL pipelines and data models with Dataform (or a similar framework, such as dbt, with skills readily transferable to Dataform), including assertions. Experience with Python for data processing and automation (Pandas). Solid GCP experience across Cloud Run / Cloud Run Jobs, Dataflow, Pub/Sub, Cloud Storage, Cloud SQL, and Cloud Scheduler. Knowledge of medallion architecture (Bronze/Silver/Gold) and sound data-modeling fundamentals. Knowledge of data governance and compliance, including IAM, policy tags, and regulatory awareness (GDPR, LGPD, ISO). Experience with Git/GitLab, CI/CD, and Terraform for delivery and infrastructure as code. Experience with pipeline monitoring and observability (Cloud Monitoring; Grafana is desirable). Exposure to GenAI-assisted development and tooling, including prompt engineering, OpenAI API/SDK, Vertex AI, and MCP (desirable). Experience with API development using FastAPI / REST services (desirable). Experience with BI and data visualization tools such as Looker Studio or Google Data Studio (desirable). Ability to communicate effectively with technical and non-technical stakeholders, and experience working in Agile environments. Fluency in Spanish (the team's working language) and intermediate English proficiency for documentation and international collaboration.

Location: United States; San Francisco; Canada; New York; Ottawa; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the founding lead of Agentic Analytics, a new team in our Analytics and Data Insights organization, you'll own how Cohere gets answers from its own data: an agentic analytics system that answers business questions over governed data, shows the source, query, and freshness behind every answer, and asks for clarification or declines when the evidence is insufficient. Agentic analytics is far from a solved problem, and correctness is the hard part. A query that runs can still answer the wrong question. Agents go wrong when a business term maps to more than one table, when data goes stale, and when the right context never reaches the model. The worst failures are silent and plausible: a join that double-counts, a wrong denominator, missing data read as zero. Getting this right takes governed definitions, context an agent can use, and an evaluation bar that decides what ships. You'll build on work already in motion: an internal analytics agent in pilot on our BigQuery warehouse, which is fed by tested ingestion pipelines and modeled in dbt. In your first year, you'll take it to production for teams across Cohere, one domain at a time, and make it replicable: each new domain stands up with configuration, a fresh evaluation set, and very little new code. This is a hands-on staff engineering role reporting to our Senior Director of Data Analytics. You'll write production code and evaluation sets yourself while managing a small founding team that grows as the system proves itself. You may have held the title software engineer, AI engineer, or data scientist; what matters is that you've built a system like this and run it in production. RESPONSIBILITIES As the lead of Agentic Analytics, you will: - Own the system end to end. Set the architecture for how a business question becomes a governed query and a verifiable answer: interpreting the question, retrieving the right context, applying approved definitions and joins, enforcing the asking user's permissions, and attaching the evidence (source, query, freshness) to every answer. - Build and run it in production. Design the core services and write much of the first version yourself: agent-facing data tools (MCP or equivalent), context retrieval, agent skills for analytics, and the APIs that serve answers. Hold them to production standards for reliability, latency, cost, security, and observability. Put it where people already work: Slack, North, IDEs, and other agents. - Hold every release to the evaluation bar. Build and run the evaluation harness, and define what correct means in each domain: ground-truth question sets, including held-out cases and questions the agent should clarify or decline; result-level scoring, correct-or-decline rates, coverage, and error severity; and regression tests on every change to context, skills, or models. Nothing ships below the bar, and the call on when a domain is ready for production is yours. - Engineer the context layer. Turn metric definitions, approved joins, documentation generated from the code that builds each table, a business glossary, and worked examples into context the agent can use. Every correction becomes a reviewed definition and a regression test. - Roll it out across Cohere. Bring domains such as marketing, revenue, finance, and product onto the system one at a time, each with named owners, certified definitions, and its own evaluation set. Measure adoption, accuracy, turnaround, and correction effort against how those teams work today. - Make it replicable. Package the tools, skills, context templates, and evaluations, and document them well enough that other teams at Cohere can run the system without you. - Hire and lead the team. Bring on the team's first engineers, set the technical bar, review the work, and develop the people doing it. - Partner across Cohere. Work with our data platform team on the warehouse and semantic models, our model evaluation team on evaluation methodology, our security team on access, and each domain's owners on definitions and rollout. QUALIFICATIONS You may be a good fit, if you have: - 10+ years building and operating production analytics or software systems, including technical leadership of a team or of systems that span teams - Experience shipping LLM agents to production: tool use, MCP or similar, retrieval and context engineering, guardrails, and observability, with firm opinions on where they fail - Hands-on experience building natural-language or agentic analytics (text-to-SQL, analytics agents, question answering over a semantic layer) that real users relied on, and evidence that it was right - Depth in evaluating LLM systems: golden sets, result-level comparison, abstention metrics, error taxonomies, and regression testing in CI, plus the judgment to tell a good demo from a system you'd put in front of a CFO - Strong Python and SQL, and experience designing and running production services and APIs on a major cloud (Google Cloud is a plus) - Fluency with data: cloud warehouses (BigQuery, Snowflake, or similar), dbt, and semantic layers (MetricFlow, LookML, Cube, or similar). You think in grain, metric definitions, and approved joins, and you can tell when a number is wrong before it reaches a decision - Experience building identity-aware access for agents, where the agent acts with the asking user's permissions and every query leaves an audit trail - Experience hiring and developing engineers, with a leadership style grounded in empathy as much as in data - Genuine excitement about AI: you follow the research, have opinions, and enjoy being in the weeds - Comfort operating in ambiguity, leading through partners you don't manage, and writing design docs and eval reports that settle decisions across teams If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Задачи: разработка, валидация, улучшение и поддержка ключевых маркетинговых моделей прогнозирования (долгосрочный LTV, выручка, retention); построение и сопровождение надёжных time-based валидаций и backtesting-подходов;

Роль сфокусирована на работе с маркетинговыми данными, обеспечении консистентности ключевых метрик (LTV, CAC, ROI) и подготовке инсайтов для принятия решений: работа с большими датасетами, анализ маркетинговых воронок, помощь команде в понимании эффективности каналов. Задачи: анализ маркетинговой эффективности по каналам (Meta, Google и др.);

We are looking for a proactive and experienced BI Analyst to build and elevate our data infrastructure! You will take ownership of our DWH architecture, build reliable ELT pipelines, and create actionable Power BI dashboards for product and business teams.

Location: Intellias Meet your recruiter Ivanna Kukliak ivanna.kukliak@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Data Analyst Strong Middle Ukraine Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With more than 3 000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you Our Client is the largest Ukrainian telecommunication operator providing communications and data services based on a broad range of mobile and fixed-line technologies, including 4G. Company’s customer base amounts to over 26 million in mobile and more than 1 mln in broadband internet. What you will do Working as a part of one or more agile teams as an ETL System Analyst Gathering requirements from business (30% of time), analysing of requirements(40% of time), writing technical specification (30% of time) for integration between DWH and 3PP systems, writing technical specification for DWH layer, analysing and finding bugs in DWH layers Setting and accepting tasks to/from developers, testers and administrators, providing results to business customers What you need for this 2+ years of commercial project development experience as an ETL System Analyst and an Oracle PL/SQL developer Experience working with any ETL tool is a must (PWC Informatica is highly recommended and is a plus) Strong data analytical skills Excellent SQL knowledge Understanding of RDBMS principles Methodology: Agile / Scrum and Kanban Knowledge of Atlassian Suite (JIRA, Confluence) Practical experience of handling big production volumes of data (200TB+) Nice to have: Experience working with any BI Tools (PowerBI, Report Builder is highly recommended and is a plus) Knowledge and practical experience with Python, HTTP, Telnet, JSON, HTML, XML, REST, SOAP, XSLT, JavaScript Practical experience with NoSQL/Cassandra DB, MariaDB, AWS, BigQuery, understanding of non-relational DBs Understanding of Telecom billing or provisioning systems architecture What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Atlassian DataAnalyst ETL SQL

Задачи: — Управление рекламой; — Создание новых рекламных кампаний; — Масштабирование успешных кампаний; — Контроль: CPA / CPL / CAC / ROAS / ROI / CTR / CVR / LTV; — Анализ эффективности; — Оптимизация расходов; — Аналитика Google Analytics 4, Google Tag Manager, Looker Studio, BigQuery; — Автоматизация: опыт работы с Google Ads API / GA4 API / OpenAI API / n8n / Make / Zapier / AI Automation. Требования: — от 3 лет Google Ads; — бюджеты от от $50,000+/мес;

Location: Belgrade, Remote/Serbia Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure. Key Responsibilities: 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 (automation rules, scripts); Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review; Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change; Measure the effect of every change with data, and report it in a clear, short form; Prepare and maintain documentation and playbooks for L1 and L2. What you’ll bring: 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. Nice to have: 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. What we offer: 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

Location: Yerevan, Remote/Yerevan Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure. Key Responsibilities: 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 (automation rules, scripts); Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review; Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change; Measure the effect of every change with data, and report it in a clear, short form; Prepare and maintain documentation and playbooks for L1 and L2. What you’ll bring: 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. Nice to have: 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. What we offer: 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

Location: Tbilisi, Remote/Tbilisi Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure. Key Responsibilities: 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 (automation rules, scripts); Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review; Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change; Measure the effect of every change with data, and report it in a clear, short form; Prepare and maintain documentation and playbooks for L1 and L2. What you’ll bring: 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. Nice to have: 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. What we offer: 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

Location: Poland, Remote/Poland Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure. Key Responsibilities: 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 (automation rules, scripts); Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review; Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change; Measure the effect of every change with data, and report it in a clear, short form; Prepare and maintain documentation and playbooks for L1 and L2. What you’ll bring: 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. Nice to have: 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. What we offer: 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

Location: Belgrade, Remote Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure. Key Responsibilities: 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 (automation rules, scripts); Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review; Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change; Measure the effect of every change with data, and report it in a clear, short form; Prepare and maintain documentation and playbooks for L1 and L2. What you’ll bring: 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. Nice to have: 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. What we offer: 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