Jobs at Djinni

We are looking for an SEO Specialist (Junior / Junior+) with 1+ year of experience who is motivated to learn and grow under the guidance of an experienced Team Lead.
 

Requirements

• 1+ year of experience in SEO;
• Understanding of SEO fundamentals: on-page/off-page optimization, keyword research, meta tags, internal linking, and website structure;
• Experience with semantic core collection and clustering (Wordstat, Key Collector, Keys.so);
• Basic technical SEO audit skills (Screaming Frog / Netpeak Spider);
• Experience with Yandex Webmaster, Yandex Metrica, Google Search Console, Google Analytics;
• Ability to prepare tasks for copywriters and developers;
• Basic HTML and CMS knowledge, preferably WordPress;
• Excel / Google Sheets — filters, pivot tables.
   

Will be a plus

• Ahrefs / Serpstat / Semrush;
• AI tools such as ChatGPT.
   

What we offer

• Fully remote work;
• Competitive salary;
• Paid vacation and sick leave;
• Birthday gift;
• Professional onboarding and training;
• Mentorship from an experienced Team Lead;
• Professional and career growth opportunities;
• Access to a corporate psychologist;
• Internal activities and initiatives;
• Supportive team and transparent communication.

About the Role

We’re seeking a  Business Analyst/Product Manager to ensure flawless delivery of features to our customers. You’ll work hands-on with development teams to execute the product roadmap defined by our CPO, maintain high quality standards, track team performance metrics, and ensure releases happen on schedule without delays.

This is an execution-focused role. You’ll translate business requirements into technical specifications, manage the delivery process, minimize bugs and incidents, and ensure our customers receive high-quality features on time.

Role Type: Business Analyst (Execution & Delivery focused)

Time Allocation:

Feature Delivery (50% of your time) 

• Manage product backlog for development teams, ensuring 2+ sprints are always groomed 
• Write detailed user stories with clear acceptance criteria and edge cases 
• Conduct bi-weekly sprint planning and weekly backlog refinement sessions 
• Ensure 95%+ of releases ship on scheduled dates - no delays, no excuses 

• Remove blockers proactively to keep teams on track 

   

Technical Documentation (20%) 

• Prepare Business Requirements Documents (BRD) outlining business objectives and scope 
• Write comprehensive Product Requirements Documents (PRD) including:  
• Functional specifications and user flows 
• API specs, data models, integration requirements 
• Technical constraints and performance considerations 
• Acceptance criteria and test scenarios 

• Maintain clear documentation in Confluence for engineering and stakeholders 

   

Quality & Incident Management (15%) 

• Drive bug reduction initiatives - target <3% bug escape rate 
• Manage P0/P1 incidents: triage within 30 minutes, resolve within 4 hours 
• Document post-mortems with root cause analysis and preventive actions 
• Track quality metrics: bug rates, regression issues, technical debt 

• Collaborate with QA on test coverage and automation priorities 

   

Metrics & Reporting (15%) 

• Track team performance: velocity, cycle time, lead time, commitment accuracy 
• Build dashboards in Jira showing real-time delivery health 
• Present quarterly metrics to CPO showing delivery trends and quality improvements 
• Coordinate with stakeholders: Customer Success (weekly), Sales (bi-weekly), Support (weekly) 

Report To: Chief Product Officer (CPO)
Location: Remote (Europe/US time zones preferred for team overlap)

Must-Have Qualifications

• Experience 3-5+ years as Business Analyst  or Product Manager in B2B SaaS, cloud software, or CRM solutions
• Proven track record of on-time delivery: Be ready to share specific metrics (e.g., “Achieved 95% on-time release rate over 12 months”)
• BRD/PRD writing experience: At least 2 years writing technical specifications for engineering teams
• Agile/Scrum mastery: 3+ years managing backlogs, writing user stories, leading sprint ceremonies
• Quality focus: Experience reducing bug rates and managing incident response

• Technical proficiency: Understanding of APIs, cloud platforms, CRM integrations, data models

   

Skills

• Execution Excellence: Ability to drive features to completion on schedule, removing blockers proactively
• Technical Documentation: Strong writing skills for BRD/PRD with clarity and detail
• Analytical: Can track and present team performance metrics (velocity, cycle time, bug rates)
• Quality Mindset: Obsessed with reducing bugs, improving processes, preventing incidents
• Communication: Fluent English (C1/C2), able to explain requirements to technical and non-technical audiences
• Prioritization: Can make quick trade-off decisions to keep releases on track

• Incident Management: Experience triaging and coordinating response to production issues

   

Tools Proficiency

• Jira/Linear: Advanced backlog management, sprint planning, reporting
• Confluence: Documentation, BRD/PRD templates, knowledge management
• Analytics: Mixpanel, Amplitude, Google Analytics for feature tracking

• Design: Figma collaboration for UI/UX specifications

   

   

Mindset

• Delivery-focused: Obsessed with hitting release dates and shipping quality features
• Detail-oriented: Catches edge cases, writes comprehensive acceptance criteria
• Proactive problem-solver: Removes blockers before they impact timelines
• Quality-driven: Won’t ship until it’s right, balances speed with quality
• Team player: Supports engineering, collaborates with cross-functional teams
• Customer-centric: Understands impact of delays and bugs on customer experience

🌟 Nice-to-Have (Bonus Qualifications)

Experience

• 3-5+ years product ownership experience (for Senior-level consideration)
• Previous experience in CRM industry (Salesforce, HubSpot, Pipedrive ecosystem)
• Background as Business Analyst, Solutions Engineer, or QA Lead (strong documentation skills)
• Experience with DevOps practices (CI/CD, release automation, monitoring)
• Incident management training (ITIL, SRE practices)

• Experience managing API products or developer-facing features

   

Skills & Knowledge

• SQL proficiency: Can write queries to analyze feature usage and performance
• Scripting/automation: Python, JavaScript for data analysis or tooling
• Advanced Jira: Custom workflows, automation rules, dashboard creation
• API documentation: Swagger/OpenAPI specification writing

• Performance testing: Understanding of load testing and scalability considerations

   

Why Join Proxima CRM?

Execution Impact: Your work directly affects customers. Every feature you deliver improves their workflow and business outcomes.

Quality Culture: We value doing it right over doing it fast (but we do both). You’ll have support to maintain high standards.

Modern Processes: We use best practices in Agile, documentation, and incident management. You’ll work with experienced teams.

Growth: Early product ownership hires have opportunities to take on more scope, mentor others, and grow into leadership roles.

Flexibility: True remote-first. Work from anywhere with flexible hours and async-first culture.

Proxima CRM is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About Us

Smart Capital Center is an end-to-end, AI-powered platform for Commercial Real Estate (CRE) investment and financial management. We power real-time underwriting, asset management, and portfolio analytics through a combination of live data, workflow automation, and AI-driven insights.

Operating at the intersection of Generative AI, finance, and real estate, we are building systems that digitize and simplify complex financial workflows.

Our clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance team building category-defining technology in a $17 trillion industry.

To learn more about our platform and vision, please visit our website.

The Role

We are looking for a Backend Software Engineer with strong experience in building scalable systems and a deep interest in AI-powered applications.

This is a high-impact, hands-on role where you will design and build backend services, integrate AI capabilities, and develop intelligent, agent-driven workflows used in real-world production environments.

You will work closely with product, AI, and engineering teams to deliver reliable, high-performance systems and automation features.

What You Will Do

Backend Development

• Design, build, and maintain backend services using Java (Spring Boot) and Python
• Develop scalable APIs and microservices for data-intensive applications
• Optimize system performance, reliability, and scalability
• Design efficient data models and handle complex integrations

AI & Intelligent Systems

• Implement and integrate AI-powered features into core products
• Design and build agent-based workflows for automation and decision-making
• Apply prompt engineering techniques to improve LLM outputs and behavior
• Work with modern AI frameworks to productionize intelligent systems

Cloud & Infrastructure

• Develop and deploy backend systems on AWS (EC2, S3, RDS, Lambda, etc.)
• Build resilient, scalable cloud-native services
• Contribute to system monitoring, logging, and reliability

System Design & Engineering Excellence

• Contribute to architecture, service boundaries, and system design decisions
• Write clean, maintainable, and well-documented code
• Ensure security, performance, and operational stability
• Continuously improve engineering quality and development practices

Collaboration

• Work closely with frontend, product, and AI teams
• Contribute to end-to-end feature delivery
• Participate in Agile development processes

Requirements

• 5+ years of backend software development experience
• Strong experience building and scaling backend systems in production

Core Technical Skills

• Strong experience with Java and Spring Boot
• Solid experience with Python
• Strong knowledge of SQL and database design (PostgreSQL preferred)
• Experience building REST APIs, microservices, and distributed systems
• Hands-on experience with AWS (EC2, S3, RDS, Lambda, etc.)
• Proficiency with Git and modern development workflows

AI & Modern Development Experience

• Experience with prompt engineering for LLM-based systems
• Practical experience building AI agent workflows in production
• Familiarity with frameworks/tools such as:
  • LangGraph
  • LangChain
  • LangSmith
  • or similar ecosystems
• Experience using AI-assisted development tools, such as:
  • Claude Code
  • Codex
  • OpenCode
  • or similar

Nice to Have

• Experience with vector databases or semantic search (e.g., Milvus)
• Knowledge of RAG (Retrieval-Augmented Generation) architectures
• Experience with CI/CD pipelines and DevOps practices
• Familiarity with event-driven architecture

• Experience with data processing pipelines or document AI systems

   

Why Join Us

• Work on cutting-edge AI-powered systems in a $17T industry
• Build real-world applications using LLMs, agents, and automation
• High ownership and autonomy with meaningful technical impact
• Opportunity to influence system design and engineering direction
• Fast-moving, execution-focused team with minimal bureaucracy
• Competitive compensation and flexible work environment

We are looking for a Senior DevOps Engineer to design, build, and operate scalable, highly available infrastructure on AWS. This role is primarily focused on AWS-native container platforms, while also requiring hands-on Kubernetes experience for hybrid workloads, tooling, and platform support.

Experience Level

• 5+ years of professional experience in DevOps, SRE, or cloud infrastructure roles
• 3+ years of hands-on experience operating production workloads on AWS

What You’ll Do

• Design and manage AWS infrastructure using Terraform
• Build and maintain CI/CD pipelines using Jenkins and GitHub Actions
• Deploy, operate, and scale containerized applications using AWS-native container services, including: 
  • Amazon ECS and ECS on Fargate
  • Amazon ECR
  • Application and Network Load Balancers
• Configure and tune autoscaling, high availability, and fault-tolerant architectures
• Work with Kubernetes environments, including cluster-level operations and local cluster setup for development
• Support and improve local developer build environments
• Ensure production systems are reliable, secure, and observable

What We’re Looking For

• Strong hands-on experience with AWS and Infrastructure as Code (Terraform)
• Production experience running containers on ECS and/or Fargate
• Hands-on experience with Kubernetes, including working with clusters in production or development environments
• Solid understanding of autoscaling, redundancy, and resilient system design
• CI/CD expertise with Jenkins and GitHub Actions
• Strong Linux, networking, and troubleshooting skills

Nice to Have

• Experience operating EKS or hybrid ECS/Kubernetes environments
• GitOps or deployment automation experience
• Familiarity with AWS observability and cost-optimization tooling
• AWS certifications

This position is open only to candidates currently based in Canada, who have valid authorization to work in Canada. Candidates based in Toronto are highly preferred.

About the Role

We are hiring a Senior Product Manager to own the front half of the delivery process: to make sure work starts with a business goal and a validated problem, not with a design, and that by the time something reaches engineering it is shaped, sequenced, and feasible.

Project

FinTech product built for the restaurant and hospitality space. We integrate with POS and scheduling systems and sit on top of the money flows those systems generate.

We grew fast in startup mode, and it worked as we have a live product, real customers, and real revenue. What we don't yet have is a delivery process that matches the size of what we're building. 

Required Hard Skills

• 5+ years in product management, including at least one product with real technical complexity behind it.
• Prior FinTech experience (payments, payouts, reconciliation, lending, banking, or embedded finance), or direct restaurant/hospitality tech experience (POS, scheduling, workforce management, delivery platforms).
• Demonstrable experience introducing or substantially reshaping a delivery process in a company that had outgrown ad-hoc ways of working. We will ask you to walk us through exactly what you changed, what resistance you hit, and what it measurably improved.
• Strong requirements practice: you can write and review PRDs, user stories, acceptance criteria, and flow documentation, and you know when to hand that off versus do it yourself.
• Experience working with third-party APIs or platform integrations, including the messy parts: partner limitations, versioning, data reconciliation, error handling, validation layer.
• Strong BA skills to act as an owner of the product requirements, including describing and maintaining the product backlog
• Strong product toolkit. We value strong processes over proficiency with any specific tool, but expect broad hands-on experience across modern product and AI tools, with the ability to select and adapt the right toolkit for the job. 

• Fluent English, written and spoken.

   

Required Soft Skills

• Comfort working alongside engineers on architecture and technical debt conversations with enough depth to understand the trade-offs, ask sharp questions, and be trusted in the room.

• Ability to hold a position with a founder-CEO. You'll be asked to change how initiatives currently start, which means disagreeing productively and often.

   

Nice to Have

• Hands-on familiarity with specific POS or scheduling platforms (Toast, Square, Lightspeed, 7shifts, Deputy, or similar).
• Experience with a product that had to earn back reliability and trust after a fast-growth phase.
• Track record building product analytics from a low baseline with instrumentation, funnels, defining the metrics that matter.
• Comfort with BPMN or similar process modeling.
• Multi-tenant SaaS or B2B2C experience.

Key Responsibilities

1. Shape the delivery process end-to-end: 

- Introduce and implement a discovery-to-delivery flow

- Establish where design, engineering, and BA input enter the process, and make technical feasibility a first-class input.

- Define the artifacts and quality bar for each stage of the delivery process.

2. Get the backlog shaped: 

- Break large ambiguous initiatives into slices that can be estimated, built, and released independently.

- Own the roadmap and its sequencing, and keep it honest about capacity and dependencies.

3. Balance new value against the debt

- Build a shared, evidence-based view of where technical debt is costing us delivery speed, reliability, or the ability to ship what's next.

4. Own the integration and domain surface

- Own the product side of our POS and scheduling integrations

- Translate FinTech constraints such as payments, reconciliation, settlement, data handling, compliance into requirements engineering can build against.

- Bring the operational reality of restaurants into product decisions: shift patterns, staff turnover, tips and payouts, peak-hour behavior, tax background, low tolerance for anything that slows down service.

Who this position is not for
This is a build-the-process role, not a run-the-process role. If you need an established framework to operate inside, this will frustrate you. If you've stabilized delivery in a company that outgrew its early habits, you'll recognize the work immediately.

Things you should know before applying:

• The process is genuinely not there yet. You are building it, largely alone, while shipping.
• There is real technical debt. Some of what you want to do will be slower than it should be, and part of your job is making that visible and getting it funded.
• Initiatives currently start closer to solution than problem, and changing that means changing habits at the top of the company. We know this and we're hiring for it - but it will take persistence.

Recruitment Process

• Introductory Call (45 min).
• HR Interview (1 hr).
• Technical Interview (1 hr).

• Founder/Client meeting.

   

We are looking for people who are motivated to learn, take ownership, and grow together with us.

Sound like the right fit? Apply now - let's talk!

We are looking for a NetSuite Technical Engineer to join our team in a growing HVAC and field service business and help maintain and improve our NetSuite environment.

This role is focused on solving complex technical issues, debugging existing customizations, improving scripts and workflows, and implementing reliable solutions inside a production NetSuite environment.

You should be able to investigate problems independently, explain root causes clearly, and communicate technical solutions in English.

Advanced spoken English is mandatory.

Responsibilities:

• Investigate and fix complex NetSuite issues
• Debug existing SuiteScript customizations
• Improve workflows, scripts, and automations
• Propose and implement reliable technical solutions
• Work closely with technical leadership on important decisions

Requirements:

• Strong NetSuite experience
• Strong SuiteScript / JavaScript skills
• Experience with debugging and improving existing code
• Strong problem-solving skills
• Ability to work independently
• Advanced spoken English

Nice to have:

• SuiteQL / Saved Searches
• NetSuite integrations
• ERP systems background
• Experience supporting operations, service, or field-service businesses

Salary: $2500–4000

Format: Full-time, Remote

Tech Stack:
• Python (5+ years)
• Strong working knowledge of SQL for data extraction and analysis (3+ years preferred)
• API integration with LLMs: OpenAI, Azure OpenAI, Claude
• ML/LLM architectures: RAG, embeddings, retrievers
• DevOps/MLOps: Docker, deployment of models on dedicated servers or cloud infrastructure
• Nice to have: FastAPI, vector databases (FAISS, Weaviate), prompt engineering
• Tools under consideration: LangChain or similar frameworks for rapid prototyping of LLM-based pipelines
 
Responsibilities:
• Design and build a production-grade LLM+RAG system for contextual data analysis
• Integrate external data sources and tools into the assistant’s knowledge base
• Set up and fine-tune LLMs on dedicated infrastructure or in the cloud
• Develop complex multi-step agents and orchestrated pipelines
• Build integrations with different platforms via API
• Ensure performance, scalability, and CI/CD automation of the ML systems
 
Requirements:
• Proven experience building real-world AI/ML products
• Deep understanding of the full machine learning lifecycle
• Experience working with popular LLM APIs and frameworks
• Ability to work independently and propose technical solutions
• Hands-on experience with LLM+RAG design patterns and prompt engineering
 
We Offer:
 

• A fully remote role with flexible engagement (full-time or contract) – you can also choose to work in the office or in a hybrid format if you prefer
• An opportunity to influence and shape the architecture and overall direction of the AI product
• Work at a large product company with a wide range of in-house developed solutions, many of which have been leading the market for over 15 years
• Access to diverse internal projects, enabling you to develop various skill sets and show your potential in different areas
• A competitive compensation package that reflects your experience and skills, with opportunities for review based on performance

About Shop Innovator
We help premium, high-ticket Shopify brands scale by building high-converting sales machines. We are looking for a hands-on Shopify professional who can build polished storefronts, maintain client stores, and manage day-to-day website updates.

About the Role
This hybrid role combines Shopify front-end development, website maintenance, content management, and direct client support. You will convert Figma designs into code, optimize storefront performance, and serve as a reliable technical point of contact for our clients and internal team.

What You'll Do

• Shopify Development: Build responsive pages, sections, and OS 2.0 templates using Liquid, HTML5, CSS3, and JS. Convert Figma designs into pixel-perfect code using Git/GitHub workflows.
• Store Management & Maintenance: Maintain client stores, troubleshoot theme bugs, install/configure apps, manage content updates, and optimize page speed and Core Web Vitals.
• Client & Team Collaboration: Communicate directly with clients via email and calls (5–10 calls/month) to explain technical solutions, gather requirements, and manage task updates in ClickUp.

• CRO & Marketing Support: Build landing pages, add conversion elements (reviews, trust badges, FAQs), and configure third-party tools like Klaviyo, Judge.me, GA4, and Meta Pixel.

   

What We're Looking For

• At least three years of professional Shopify development or website-management experience.
• Strong knowledge of Shopify Liquid.
• Strong HTML5, CSS3, and JavaScript skills.
• Experience with Shopify Online Store 2.0.
• Experience creating reusable Shopify sections, blocks, and templates.
• Experience converting Figma designs into responsive Shopify pages.
• Experience with Git and GitHub.
• Experience installing and configuring Shopify apps.
• Experience managing products, collections, pages, blogs, navigation, and website content.
• Working knowledge of ecommerce SEO and on-page optimization.
• Strong understanding of responsive web development.
• Excellent attention to visual detail.
• Strong written communication skills.

• Ability to produce accurate, polished work with minimal supervision.

   

Who You Are

You’re someone who:

• Loves working with Shopify.
• Is reliable, responsive, and dependable.
• Works quickly without sacrificing accuracy.
• Notices UX, content, and visual issues before anyone else.
• Has a strong eye for design, spacing, consistency, and presentation.
• Thinks beyond writing code and considers the full customer experience.
• Understands that premium products require trust-building content and thoughtful presentation.
• Enjoys solving problems independently.
• Is highly organized and communicates clearly.
• Takes ownership of projects from assignment through testing and deployment.
• Tests everything before marking a task complete.
• Can comfortably manage multiple client projects and priorities.
• Collaborates well with designers, marketers, project managers, and clients.
• Is comfortable asking questions when requirements are unclear.
• Looks for ways to improve a page instead of simply completing the requested update.

Bonus Points

Experience with any of the following would be an asset: Shopify Markets, Shopify Flow, Shopify Functions, Checkout UI Extensions, Metafields and metaobjects, Klaviyo, Judge.me, Shopify Search & Discovery, GA4 and Google Tag Manager, Meta Pixel, Schema markup, Core Web Vitals optimization, Accessibility and WCAG standards, Conversion rate optimization, A/B testing platforms, Image and video editing tools, AI coding assistants such as Cursor, GitHub Copilot, or ChatGPT.

Schedule: Remote with required 3–4 hours of daily overlap with 10 AM – 5 PM EST.

Why Join Shop Innovator?

• Work with premium ecommerce brands rather than commodity products.
• Build websites that directly contribute to business growth.
• Be part of a small, experienced, and collaborative team.
• Work on a variety of interesting Shopify projects.
• Develop your knowledge of high-ticket ecommerce, UX, CRO, and customer buying psychology.
• Learn from experienced ecommerce strategists, designers, developers, and marketers.
• Enjoy flexible remote working hours.
• Grow with the agency as we expand.

Ready to build high-converting Shopify experiences with us? Click Apply Now to submit your application!

We're looking for someone to own our external presence across content, media, community, and partnerships — and to build a young brand into an established, trusted name in the industry.

What you'll do

• Own our brand and communications strategy — from the core message to hands-on execution.
• Manage our social media and niche-platform profiles: content planning, writing, publishing, and audience growth.
• Build the brand's presence at industry conferences, events, and networking opportunities.
• Secure placements in relevant media, forums, and industry publications — spotting opportunities, preparing content, and building editor relationships.
• Set up cross-promo, guest content, and joint initiatives with trusted players in the niche.
• Keep the blog and our channels filled with strong content — articles, reviews, visuals (solo or with freelancers).
• Maintain one consistent brand voice and style across all channels.
• Manage the brand's reputation: monitor mentions, handle feedback, protect a positive image.
• Work closely with the management and commercial team to align marketing with business goals; track results and optimize.
  
  What we're looking for
• 2+ years in brand, PR, communications
• Experience in affiliate marketing or traffic-generation infrastructure for verticals like iGaming, nutra, or similar
• Genuinely strong writing — you can turn a product update into a story people share.
• Hands-on media experience: outreach, pitching, getting things published.
• Some track record running or supporting events, conferences, or partner activities.
• Comfortable with Notion, Google Sheets, CRM
• Self-starting: you take an idea and ship it without waiting to be told how.
• English at B2+.

What we offer

• Competitive base salary + performance-based bonuses
• A small, close-knit team with direct communication and no bureaucracy
• Opportunity to build processes from scratch and have real impact on how the business operates
• Opportunity to attend top industry events and conferences worldwide
• Corporate English classes
• Learning & development courses 

Our client: US product company, an athletics management platform used by thousands of schools across the United States: rosters, eligibility, scheduling, officials assignment and payments. A mature product with real scale, now adding AI features to the core workflows.

You will own features end to end, across the stack, in a small team where what you ship reaches production the same week.

Format and time zone

Fully remote from Ukraine. The team is distributed across US time zones, with its core on US Central Time. We ask for a few core overlap hours daily, in practice from around 16:00-17:00 Kyiv time. Everything else is asynchronous and written by default, with a low meeting load.

What you'll do

• Build user-facing features in Node.js/Express and React with TypeScript, from spec to production
• Own the full slice: API design, database schema changes, rollout and the monitoring that follows
• Work AI-first every day: funded frontier models from Anthropic and OpenAI, agentic coding tools, and repo-level convention files so generated code follows the team's patterns. The tools are used hard, the output is reviewed by humans, and PRs say what was generated
• Bring your own practice to the team: custom skills, project conventions, prompts and workflows that make the whole team faster, not just you
• Raise engineering standards through code review, architectural patterns and targeted refactors
• Support what you ship on a light shared on-call rotation

Requirements:

• 5+ years shipping production software as a full-stack engineer
• Strong Node.js with Express (or NestJS) and React, both in TypeScript
• PostgreSQL: schema design, migrations, query optimisation
• Working knowledge of AWS (ECS/Lambda, Secrets Manager, CloudWatch) and CI/CD in GitHub Actions
• Daily, hands-on use of AI coding tools (Claude Code, Cursor, Copilot or similar). Not occasional autocomplete, but agentic workflows, custom skills that encode project conventions, and the judgement to tell genuinely good generated code from code that merely looks plausible
• Comfortable owning a feature alone, from database to UI
• English B2+ 

Nice to have

• Angular, for the parts of the platform built on it
• MCP servers, custom agent skills or other tooling you built around AI-assisted development
• React Native
• Domain experience in scheduling or logistics

We are seeking an experienced Senior Business Analyst to join a data management project within a leading pharmaceutical company.

The role will focus on Master Data Management (MDM), data modeling, and data governance, acting as a business counterpart to MDM and data platform teams. The Business Analyst will help translate business needs into clear data requirements, models, and processes, while supporting the development of downstream data structures and ontologies.

Responsibilities:

• Act as a senior business counterpart for MDM, data platform, and Foundry teams, owning the clarification and translation of business needs into actionable data requirements.
• Lead requirements discovery and analysis related to Master Data Management, including master data domains, attributes, relationships, business rules, hierarchies, and ownership.
• Work closely with business stakeholders and technical teams to define how master data should be structured, governed, and represented across downstream systems and data platforms.
• Support the definition and refinement of conceptual and logical data models, ensuring that business concepts and relationships are accurately represented.
• Facilitate discussions between business and technical stakeholders, proactively resolving ambiguities, inconsistencies, and gaps in data requirements.
• Contribute to the development and evolution of enterprise ontologies, including the definition of business entities, relationships, terminology, and semantic models.
• Support data governance activities, including data definitions, ownership, quality rules, standards, and consistency across systems.
• Analyze existing data structures and processes and recommend improvements to support scalable and consistent enterprise data management.
• Maintain clear documentation covering business requirements, data definitions, models, business rules, decisions, and dependencies.
• Validate proposed data models and delivered solutions with business stakeholders to ensure alignment with business processes and intended use.
• Collaborate closely with distributed stakeholders and teams, including colleagues based in the US.

Requirements:

• 5+ years of experience as a Business Analyst, Data Business Analyst, or similar role within complex enterprise environments, with significant exposure to data-related initiatives.
• Strong practical understanding of Master Data Management principles, including master data domains, golden records, hierarchies, relationships, matching, data ownership, governance, and lifecycle management.
• Experience translating complex business concepts into structured data requirements and data models.
• Good understanding of data modeling principles, including entities, attributes, relationships, reference data, and conceptual/logical data models.
• Experience working closely with MDM, data engineering, data architecture, or enterprise data platform teams.
• Ability to operate as an independent and senior business counterpart to technical teams rather than relying on engineering teams to drive requirements definition.
• Strong stakeholder management and facilitation skills, with the ability to work with both business and technical stakeholders and challenge assumptions when necessary.
• Experience with data governance, data quality, business glossaries, metadata, or data ownership frameworks.
• Familiarity with ontology or semantic data modeling concepts is highly desirable.
• Experience with Reltio or another MDM platform is a strong advantage, but specific Reltio expertise is not required.
• Experience with Palantir Foundry or similar enterprise data platforms is a plus.
• Pharmaceutical, healthcare, or life sciences domain experience is highly desirable.
• Basic understanding of SQL and data querying concepts is beneficial, but hands-on development or data engineering experience is not required.
• Strong analytical and problem-solving skills, with a high level of ownership and the ability to independently structure ambiguous business problems.
• Ability to work effectively in a distributed international environment.
• English: Upper-Intermediate or higher.
   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

What is the purpose of this position?
We are looking for a Senior Data Engineer with strong hands-on experience in the Azure ecosystem to design, build, and maintain scalable data pipelines and infrastructure. You will work closely with other engineers to ensure reliable, high-quality data flows across the organization. Potential clients make many requests, so we want to bring a new specialist on board and provide fast staffing.

Location: Remote (CET time zone preferably), ready to coordinate with US and EU time zones.

Responsibilities:
Design, build, and maintain scalable, reliable ETL/ELT data pipelines for batch and streaming data.

• Architect and optimize data storage solutions (data lakes, data warehouses) on Azure.
• Develop and maintain data models, schemas, and transformation logic to support analytics and reporting.
• Ensure data quality, consistency, and integrity across pipelines through validation, monitoring, and alerting.
• Optimize pipeline performance and troubleshoot bottlenecks in large-scale data processing.
• Implement and maintain CI/CD pipelines for data engineering workflows.
• Collaborate with data scientists, analysts, and backend engineers to understand data requirements and deliver solutions.
• Define and enforce best practices for data governance, security, and access control.
• Mentor junior data engineers and contribute to technical decision-making and architecture reviews.
• Document data architecture, pipelines, and processes for internal knowledge sharing.
   

Requirements:

• Strong hands-on experience as a Data Engineer, including senior-level or lead responsibilities.
• Strong practical experience with the Azure data ecosystem (e.g. Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage).
• Strong knowledge of SQL and experience with relational and non-relational databases.
• Strong programming experience in Python (or Scala/Java) for data processing and pipeline development.
• Experience designing and building ETL/ELT pipelines for both batch and streaming data (e.g. Spark, Kafka, Azure Event Hubs).
• Solid understanding of data modeling, data warehousing concepts, and dimensional design.
• Experience with infrastructure-as-code and CI/CD tools (e.g. Terraform, ARM/Bicep templates, Azure DevOps, GitHub Actions).
• Experience with data quality, testing, and monitoring practices for data pipelines.
• Strong analytical and problem-solving skills, with the ability to work independently on ambiguous or complex data challenges.
• Strong communication skills, with the ability to collaborate cross-functionally and explain technical concepts to non-technical stakeholders.
   

Nice to Have:

• Azure certifications (e.g. Azure Data Engineer Associate, Azure Solutions Architect).
• Experience with orchestration tools (e.g. Apache Airflow, Azure Data Factory pipelines).
• Experience with data governance and cataloging tools (e.g. Microsoft Purview).
• Familiarity with BI/reporting tools (e.g. Power BI).

• Experience working in a regulated or high-compliance data environment.
   

  Hiring process:
  • HR interview
  • Technical interview
  • Client interviews
  • Reference check
  
  We offer:
  • Remote Work Environment. Work from anywhere and be part of a geographically diverse team
  • Stay Ahead of the Curve. Work with cutting-edge technologies
  • Possibility of payment via PE account, Payoneer, or Wise
  • Bonus & Referral system
  • 16 paid vacation days and 10 sick days per year
  • Flexible hours
  • Compensation program for purchasing new laptops
  • Paid professional certifications & educational courses
  • Paid English classes
  • Friendly atmosphere with quarterly team building
  • No bureaucracy
  
  Ready to try your hand? Do not pull the cat’s tail and send your CV without a doubt!

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks 
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) 
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

Vollna helps freelancers and agencies find relevant Upwork projects, automate proposals, and track their results.

We’re looking for an SDR / Outbound Sales Specialist to manage outreach campaigns, build conversations with prospects, and turn interest into qualified demos and paying customers.

In this role, you will:

• Find and research potential customers, primarily freelancers and agency owners.
• Launch, manage, and improve cold email and LinkedIn outreach campaigns.
• Handle replies, understand prospects’ needs, answer questions, and address objections.
• Qualify prospects and book product demos, sharing relevant context before each call.
• Follow up after demos and during free trials to help prospects take the next step.
• Keep the CRM updated with conversation notes, next steps, and outcomes.
• Track which audiences and messages generate qualified meetings and paid subscriptions.

We’re looking for someone who:

• Has hands-on experience with LinkedIn outreach or cold email, including managing prospect conversations.
• Writes clear, natural English and adapts replies to the conversation.
• Can learn a software product and explain how it fits a customer’s needs.
• Works independently, follows through, and suggests improvements based on results.
• Can share examples of previous campaigns and explain their contribution.

Experience with B2B SaaS, Upwork, or selling to agencies is a plus.

Success in this role means qualified meetings that take place, consistent follow-up, and prospects progressing to paid subscriptions.

Compensation and the working arrangement will be discussed individually.

To apply, send a short introduction and one relevant campaign example: what you sold, who you targeted, what you handled, and the results.

ABOUT VOLLNA

Vollna.com helps freelancers and agencies win clients on Upwork: job filtering, AI proposals, and auto-bidding. 10 years on the market, 3,000+ users. Small team, you'll work directly with the founder.

THE ROLE

You'll own a portfolio of our paying clients: Automation agencies, Agency-plan teams, and established freelancers. Two goals: clients get results and stay, and the right clients move up to Automation. Your bonus is calculated from your portfolio's retention and MRR, so both count.

Upwork is tough right now. Clients who succeed are the ones whose profile, targeting, and proposals are set up right in the first two weeks. Your job is to make that happen.

WHAT YOU'LL DO

- Onboard new Automation clients: review their Upwork profile, tune job filters and AI qualifier settings, and set realistic expectations using our benchmarks.

- Run funnel reviews in the first month. Catch bad targeting, boost turned off, or a weak proposal template early.

- Spot Agency-plan clients who are ready for Automation and walk them through the upgrade.

- Build relationships with high-tier freelancers and agencies in the portfolio: quarterly check-ins, case studies, referrals.

- When a client is at risk, diagnose the problem and fix what's fixable.

- Document recurring problems so they become rules in our automated reports and Profile Audit, and the same fix doesn't need you twice.

- Pass client feedback to the founder and influence what we build next.

COMPENSATION

$700/month base, plus a monthly bonus as a % of your portfolio's MRR, tiered by portfolio churn.

Upgrades you drive raise your portfolio MRR, so expansion pays you the same way retention does. The portfolio is growing and your bonus grows with it. We'll review the tiers together after the first quarter.

On top of that: a one-time bonus for every new client you close from a demo.

Realistic total compensation at solid performance: $1,300-1,600/month and more.

YOU'RE A FIT IF

- You've personally done Upwork lead generation, as a bidding manager, lead-gen specialist, or agency operator, and you have before/after cases with numbers (profile improvements, reply-rate lifts, JSS recoveries).

- You know how connects, boosts, outbid rate, JSS, and proposal view rate work.

- You've used Upwork lead-gen tools. Knowing what annoyed you about them is useful here.

- 2+ years in a client-facing role: customer success, account management, or running lead-gen for clients.

- Fluent English, written and spoken. Our clients are in the US, EU, Pakistan, and India.

THIS IS NOT FOR YOU IF

- You want a fixed salary that doesn't depend on whether clients stay.

- You've done SaaS customer success but never actually worked on Upwork.

- You need tasks handed to you. There's a lot of autonomy here.