Salla E-Commerce Platform

Data Analyst

• Own the analytics direction of the Data Platform — define the vision, standards, and roadmap for metrics, models, and reporting delivered through the platform layer.
• Unify data models across product areas — work with the Platform Reports PM and all PMs to consolidate fragmented metric definitions into a single, governed semantic layer.
• Drive merchant analytics success — design, validate, and continuously improve the reports and analytics every merchant relies on to study and grow their business.
• Establish documentation standards — ensure every API, dataset, metric, and column is correctly named, clearly defined, and formally documented, so definitions are consistent from the warehouse to the merchant-facing report.
• Enable growth analysis — build the analytical foundations (cohorts, funnels, growth metrics, benchmarks) that let merchants and internal teams study growth accurately.
• Guard data quality and consistency — define validation rules, reconciliation checks, and metric governance so numbers match everywhere they appear.
• Partner cross-functionally — act as the analytical authority for the platform layer, advising engineering, product, and other analytics teams on how to build against it correctly.

Senior Data Scientist – Metrics & Analytics

Database Administrator

• Write, review, and optimize SQL queries.
• Analyze database performance and identify slow or inefficient queries.
• Support database monitoring, health checks, and capacity analysis.
• Assist with database backup, recovery, replication, and high-availability activities.
• Investigate database incidents and help identify root causes.
• Perform benchmarking and compare database configurations, queries, and technologies.
• Develop Python scripts to automate repetitive database and operational tasks.
• Validate data accuracy, consistency, and integrity.
• Prepare technical reports, performance findings, and recommendations.
• Support documentation of database standards, operational procedures, and best practices.
• Learn how database changes are safely tested before being applied to critical environments.
• Participate in continuous improvement initiatives across the Data Platform.

QA Engineer

• Own the evaluation stack. Design and build LLM-as-judge systems, calibrate them against human labels, and make agent quality measurable per-agent and per-failure-mode.
• Make the release gate real. Build per-PR eval harnesses and regression detection wired into CI, so quality is enforced automatically, not by manual passes.
• Build user simulators to generate test coverage and adversarial cases before real users hit them.
• Turn production signal into improvement - pipe real failures back into evaluation sets so the system compounds over time.
• Partner with product to turn "what good looks like" into concrete, measurable criteria.
• Grow into agent development - contribute to building and hardening the agents themselves, starting with the components you know most deeply from evaluating them.

Senior AI Backend Engineer – Agent Evaluation, Quality

Backend Engineer

• Design, build, and operate scalable backend services supporting Fintech, Checkout, Promotions, Loyalty, and Payment systems.
• Develop clean, maintainable, and high-performance production code with readability and long-term ownership in mind.
• Design and evolve RESTful APIs and integrations with internal platforms, payment gateways, and third-party services.
• Build reliable distributed systems capable of handling high traffic, failures, and asynchronous workloads.
• Drive architectural decisions with scalability, resilience, maintainability, and operational excellence in mind.
• Optimize application performance across services, databases, caching layers, queues, and background workers.
• Participate in architecture discussions, technical design reviews, RFCs, and engineering planning.
• Ensure services are production-ready through monitoring, logging, alerting, testing, and observability best practices.
• Write comprehensive unit and integration tests while maintaining high engineering standards through code reviews.
• Leverage AI-assisted engineering tools responsibly to accelerate development, debugging, testing, documentation, and code quality.
• Mentor junior and mid-level engineers through technical leadership, design discussions, and engineering best practices.
• Contribute throughout the full software development lifecycle, from design through deployment and production support.
• Continuously improve system reliability, developer experience, and engineering standards across the team.

Senior Backend Engineer – Checkout

Engineering Manager

• Team Leadership & Delivery Management
• - People Management: Hire, coach, and grow a core team of solutions engineers and technical leads, setting clear goals, providing regular feedback, and building a high-performing delivery culture.
• - Resource Coordination: Coordinate “on-demand” technical squads drawn from other engineering units to fulfill specific project requirements, balancing capacity across concurrent enterprise engagements.
• - Delivery Standards: Establish and enforce rigorous engineering standards for project delivery, ensuring custom builds are scalable, maintainable, and aligned with the core platform architecture.
• - Service Catalog Input: Contribute to the definition and evolution of the premium technical services catalog (custom development, advanced consultancy, dedicated support), bringing delivery-side insight to leadership decisions.
• Enterprise Services & Custom Solutions Delivery
• - Technical Execution of Contracts: Own the technical execution of premium contracts overseeing the scoping, estimation, and delivery of custom requirements, including bespoke themes and specialized API integrations.
• - SLA & Performance Tracking: Enforce Service Level Agreements (SLAs) for custom deliverables, tracking milestone completion, delivery quality, and billing triggers to support service profitability and client satisfaction.
• - Merchant–Salla Liaison: Act as a senior technical point of contact for premium accounts, translating complex business needs into actionable, well-scoped engineering tasks for the team.
• Enterprise Onboarding & Technical Implementation
• - Accelerated Time-to-Value: Lead the technical coordination for new Class A merchants, ensuring complex data migrations, ERP integrations, and store setups are executed swiftly to minimize the time between signing and “Go Live.”
• - Cross-Functional Coordination: Serve as the central bridge between the merchant, internal engineering squads, and customer support, proactively removing technical blockers that threaten onboarding timelines.
• - Dynamic Resource Allocation: Orchestrate ad-hoc, on-demand technical teams formed from various internal units to tackle specific, time-sensitive onboarding challenges for key accounts.
• Scalable Customization & Market Adaptation
• - Customization Frameworks: Develop engineering frameworks that allow custom solutions to be delivered for global brands without creating technical debt, keeping regional customizations compatible with the core global platform.
• - Regional Enterprise Needs: Support the adaptation of enterprise service offerings to international markets, including integrations with regional ERP systems and compliance with local enterprise data governance requirements where needed.
• Client Success & Pre-Sales Support
• - Consultative Selling Support: Partner with the Sales team during the pre-sales process for high-value prospects to validate technical feasibility and scope potential service contracts.
• - Retention through Quality: Ensure the quality of technical delivery fosters long-term loyalty among premium merchants, making the team a driver of retention and upsell opportunities.

Senior Data Scientist – Metrics & Analytics

Database Administrator

Senior AI Backend Engineer – Agent Evaluation, Quality

Senior Backend Engineer – Checkout

Engineering Manager – Enterprise