Jobs at Djinni

About us

We are a team of highly-skilled developers who share a common passion for the work we deliver. Our vision for software development starts with a thorough analyze of our customer's needs that allows us to integrate the functionality of coding into a solid architecture that will ultimately result in business success.

Our developing services are tailor-cut to suit the individual needs of our clients, and we deliver optimal results whether you are a business with ever changing goals or an established company that is looking into a product that can streamline day-to-day operations.

Requirements

•⁠  ⁠HTML5 (semantic markup)
•⁠  ⁠⁠CSS3 (Flexbox + Grid)
•⁠  ⁠⁠Responsive / mobile-first development
•⁠  ⁠⁠JavaScript
•⁠  ⁠⁠Experience working with Figma
•⁠  ⁠⁠Angular / React — highly desirable

Responsibilities:

•⁠  ⁠Converting Figma designs into web page layouts
•⁠  ⁠⁠Building responsive pages using adaptive typography
•⁠  ⁠⁠Creating SEO-friendly markup
•⁠  ⁠⁠Maintaining and optimizing existing pages

Responsibilities

•⁠  ⁠Converting Figma designs into web page layouts
•⁠  ⁠⁠Building responsive pages using adaptive typography
•⁠  ⁠⁠Creating SEO-friendly markup
•⁠  ⁠⁠Maintaining and optimizing existing pages

Nice to Have

• Formal education in software development or related field
• Any commercial, academic, or personal project experience

• Contributions to open-source projects or hackathons

   

Work conditions

• Contract work
• 100% remote work
• Variety of technology

Come Back Agency supports US software and technology companies by running their hiring process. We work with delivery and leadership teams to define roles, screen candidates, and manage interviews. Successful candidates are hired directly by the company and become part of its team.
 

This position is with a US-based software company providing custom development and AI implementation for North American clients. The team builds and maintains production software, including AI-enabled systems, and works in long-term client engagements.
 

Team members operate as part of an internal, distributed team and collaborate directly with client stakeholders.

Important requirement (please read carefully) We are only considering candidates who have previous lead generation experience for IT outsourcing, software development, or tech services companies. General lead generation experience is not sufficient for this role.
 

Responsibilities

• Build and maintain lead lists (Founders, CTOs, Operations leaders)
• Run outbound lead generation
• Personalize outreach messages for US-based prospects
• Book qualified calls for the Business Development / US team
• Track outreach and results in CRM
• Continuously improve messaging based on response quality
   

Requirements

• Proven lead generation experience for IT services / software development companies
• Experience using tools such as LinkedIn Sales Navigator, Apollo, Snov, Lemlist, Instantly, or similar
• Strong written English
• Result-oriented mindset
   

KPIs

• Qualified conversations started
• Calls booked
• Call show-up rate
• Lead quality (not just volume)
   

What We Offer:

• Working hours aligned with US time zones, typically 16:00—00:00 Kyiv time.
• 1:1 English lessons to support clear and confident communication.
• Paid vacation and sick days.
• Fully remote work.
• Opportunities for professional growth within the team.
• Structured, personalized onboarding to help you ramp up effectively.
   

Hiring stages: Recruiter screening → Technical interview → Final culture fit interview.
 

Apply with your resume and a short note outlining your relevant experience. You can also submit it through our website at comeback.ua. Selected candidates will be contacted by Come Back Agency

JarvisHeart is a product-based iGaming company actively scaling its affiliate department and expanding its network of proprietary brands across international markets.

We are looking for an Affiliate Team Lead who can not only manage key partners but also lead a team of affiliate managers, directly influencing the growth of our affiliate direction and product scaling worldwide.

Key Responsibilities

Team Management

• Build and grow a team from the ground up.
• Lead a team of Affiliate Managers: task setting, performance tracking, professional development, and mentoring.

Affiliate Management

• Develop, maintain, and optimize relationships with affiliate partners in TIER 1 markets.
• Ensure effective communication and long-term partnerships.

Affiliate Strategy Development

• Develop and implement an affiliate strategy aligned with company goals, focusing on ROI, traffic scaling, and meeting projected payback targets.

Performance Analysis

• Analyze key affiliate traffic metrics (ROI, ROAS, CPA, ARPU, LTV) to evaluate partner effectiveness and identify optimization opportunities.

Market Research

• Monitor the market, analyze competitor strategies, and identify new opportunities for affiliate growth.

Reporting and Communication

• Prepare regular performance reports for internal stakeholders and maintain transparent communication with partners.

Financial Reporting & Partner Payments

• Manage financial reporting for traffic metrics, oversee partner payouts, and lead the reconciliation process.

Ownership of Affiliate Direction

• Take full responsibility for the growth and scaling of the affiliate department, including process improvement and identifying new growth levers.

Product Impact & Strategy Contribution

• Actively participate in product development: initiate changes, improve processes, test new approaches, and influence strategic product decisions.

   

Requirements

• 2.5+ years of experience in Affiliate Marketing (iGaming).
• 6+ months of experience in a leadership/management role.
• Proven experience working with TIER 1 markets.
• Deep understanding of the gambling market.
• Upper-Intermediate English (both written and verbal).
• Advanced proficiency in Excel / Google Sheets.
• Strong analytical skills regarding key metrics: ROI, ROMI, eCPA, ARPU, LTV.
• Comprehensive understanding of traffic sources and payout models (CPA / Revenue Share / Hybrid).
• Ability to work independently, take initiative, and make data-driven decisions.
• Strong negotiation and relationship-building skills.
• Experience in or a solid understanding of Business Development (BizDev).
• An active and verified partner base that can be launched within the first month.

• Access to partners working across various traffic sources.

   

Nice to Have

• Experience scaling affiliate departments or launching new GEOs.
• Experience working with Influencer or Streamer traffic.
• Experience with Affilka, BI systems, Jira, and Confluence.
• In-depth understanding of traffic quality analytics.
• A proactive approach to problem-solving and high attention to detail.
• High motivation to grow alongside the product and scale the affiliate direction.

Kiss My Apps is a platform company that unites 7 product verticals and 30+ AI-first products, serving more than 100 million users. We also develop our own ecosystem of analytics, payment, and marketing solutions.

KMA products are global leaders in the utilities, lifestyle, and health & fitness categories — including AI Remodel, Printer, Botan, Calorie Counter, and more. These products reach the #1 positions in the App Store and solve real needs for communities of hundreds of millions of people.

Our pace is our competitive advantage. KMA grows at least 3x year over year, and we are looking for a Payroll Accountant who will be responsible for accurate and timely payroll processing, payroll reporting, and compliance with local legislation.
This role plays an important part in ensuring payroll accuracy, financial transparency, and reliable payroll operations across the company.

Responsibilities
• Full-cycle payroll processing for employees and contractors
• Preparation of payroll registers with detailed compensation breakdowns
• Ensuring timely payroll processing and related payments
• Monthly reconciliation of payroll-related accounts (salaries, payables, tax liabilities, accruals)
• Cross-functional coordination with HR, Finance, and Operations regarding hires, terminations, salary changes, and leave
• Preparation of payroll reports for management and internal stakeholders
• Maintenance and control of payroll documentation
• Support during payroll-related audits and tax inspections
• Preparation and submission of payroll tax reports in accordance with local legislation
• Participation in payroll process improvement and automation initiatives

Requirements
• Practical experience in full-cycle payroll calculation
• Experience with payroll tax reporting and statutory filings
• Experience with vacation and sick leave calculations
• Experience with termination settlements
• Practical experience with payroll modules in ERP systems
• Strong skills in payroll accounts reconciliation
• Excel — Advanced
• English — B1+

Will be a plus
• Experience with payroll reporting in Cyprus
• Experience using AI tools in work processes
• Experience with process automation and payroll reporting optimization

Soft skills
• Strong attention to detailі and accuracy in payroll calculations and reporting
• Strong organizational and time management skills, with the ability to prioritize tasks during payroll cycles and reporting deadlines
• Ability to manage multiple payroll cycles simultaneously (employees and contractors)
• Ownership and accountability for payroll accuracy and timelines
• Clear communication and effective cross-team collaboration with HR, Finance, and Operations on payroll matters
• Ability to handle sensitive payroll and financial information with strict confidentiality

We offer:

Work format of your choice: fully remote from anywhere in the free world, with optional access to one of our offices (Kyiv or Warsaw).

Conditions that help you focus on performance: a competitive compensation package aligned with your skills and experience. We also provide all necessary equipment regardless of your work format or location.

Career growth through action: more than 80% of all leads at Kiss My Apps were switchers just 2–3 years ago. Your impact here isn’t defined by the number of years in your resume — it’s defined by how fast you learn, take responsibility, and take ownership of your career.

Team activities: to support our team’s mental well-being, we offer online yoga sessions twice a week.

Development and professional growth: we host internal English speaking clubs with a native speaker and provide opportunities to speak at internal and external events from Kiss My Apps. In addition, you’ll have an annual budget covering up to 50% of professional conferences, educational events, and industry meetups.

Flexible additional benefits: we provide a fixed yearly budget that you can allocate to what matters most to you — covering 50% of medical insurance, psychotherapy, sports, or dental care. 

You’ll also receive 40 days of paid leave and sick days, without strict date limitations.

Support during wartime: we ensure that everyone has everything needed for uninterrupted work, consistently support the Defense Forces of Ukraine, and participate in initiatives aimed at rebuilding Ukraine.

Important: there is an option for military reservation for eligible candidates after the probation period, provided that the required military registration documents are properly оформлені and subject to the company’s internal capacity in accordance with current legislation.

Hiring process:

1. Intro call with a recruiter
2. Test assignment
3. Interview with the Hiring Manager
4. Final interview with the CFO

If you want not just to prepare reports but to build a systematic international finance function in a company growing 3x every year — let’s launch the future together 🚀

We are looking for a Business Intelligence Developer with solid hands-on experience in Power BI and SQL. The role focuses on working with business and financial data, building dashboards, and supporting data-driven decision-making.

     Skills Requirements:

• 2+ years of commercial experience in BI / Data Analytics / related roles
• 1+ year of hands-on experience with Power BI
• Confident knowledge of SQL (any DB)
• Experience working with structured business data
• English level: Upper-Intermediate or higher
   

     Will be plus:

• Experience with financial or retail data
• Background as Data Analyst / SQL Specialist / DBA / Data Engineer
   

     Key Responsibilities:

• Build and maintain dashboards and reports in Power BI
• Work with SQL queries to extract and prepare data
• Analyze business data and support stakeholders with insights

• Collaborate with analysts, engineers, and business teams

   

  We offer:

• Working in a fast-growing company;
• Great networking opportunities with international clients, challenging tasks;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities, corporate events.

We are looking for a Head of Analytics who will become a key player in the development and evolution of the company’s analytical system. This is a strategic role for a professional who combines strong technical expertise with leadership skills and is able to act as a trusted business partner for top management.

Your mission is to build an efficient, scalable, and transparent analytics system that supports data-driven decision-making and to foster a strong data-driven culture across the company.

Key Responsibilities:

• Conduct a full audit of internal analytics processes, including team structure, data architecture, reporting, tools, and communication flows;
• Redesign and optimize reporting systems in line with business needs and key stakeholders’ expectations;
• Develop and implement unified analytics standards, methodologies, and KPI frameworks;
• Work closely with databases and data architecture: understand data structures and logic, and participate in the design and optimization of data storage and pipelines;
• Actively use and develop BI tools (dashboards, automated reporting, self-service analytics);
• Lead the analytics team: task prioritization, competency development, mentoring, and participation in hiring and team scaling;
• Coordinate collaboration within the analytics team and with development, product, marketing, finance, and management teams;
• Build a culture of hypothesis generation, experimentation, and analytical thinking to improve products and business outcomes;
• Ensure data quality, consistency, and trust in analytics across the company.

Requirements:

• Proven experience as a Head / Lead of Analytics or in a similar leadership role within a product company (experience in the gaming industry is a plus);
• Demonstrated success in building or transforming an analytics system, either from scratch or during a scaling phase;
• Strong technical background, including:
  • solid understanding of database principles and SQL;
  • experience in rebuilding or optimizing reporting systems;
  • hands-on experience with BI tools (Power BI, Tableau, Looker, Metabase, or similar);
• Deep understanding of product metrics, KPIs, and business performance indicators;
• Experience in managing teams and building efficient analytics processes;
• Ability to communicate effectively with stakeholders at all levels and translate business questions into data-driven insights;
• English proficiency at B1 level or higher, sufficient for working with documentation, tools, and professional communication.

We offer:

• 30 day off — we value rest and recreation.
• Remote work or the opportunity — our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station).
• Flexible work schedule — we expect a full-time commitment but do not track your working hours;

About Traffic Label
Traffic Label is a performance marketing and technology company with nearly two decades of experience driving engagement and conversion across the iGaming and digital entertainment sectors. We build data-driven products and platforms that empower smarter marketing, better insights, and sustainable growth.

About the Role
We’re looking for a Product Owner to shape the evolution of our Data Platform — enabling reliable data, actionable insights, and smarter decisions across the business.
The ideal candidate combines product ownership discipline with a strong grasp of data concepts, quality, and usability. You’ll collaborate closely with engineering, analytics, and commercial teams to ensure our data platform becomes a trusted foundation for the company’s strategic decision-making.

Key Responsibilities

• Own and evolve the Data Platform roadmap, ensuring it delivers trusted, accessible, and business-ready data.
• Define priorities and requirements that improve data accuracy, consistency, and availability.
• Collaborate with data engineering and analytics teams to deliver scalable, well-governed data solutions.
• Drive initiatives that unify data across systems to support analysis, reporting, and activation.
• Translate stakeholder needs into clear user stories, acceptance criteria, and measurable outcomes.
• Track key platform indicators such as data coverage, freshness, and reliability.

Skills & Experience

• 4+ years of experience as a Product Owner or Product Manager in a data or platform environment.
• Strong understanding of data architecture, ingestion, and transformation principles.
• Proven experience collaborating with data engineering and analytics teams.
• Ability to connect business goals with underlying data capabilities.
• Skilled in backlog management, prioritisation, and stakeholder alignment.
• Familiarity with modern cloud-based data ecosystems (e.g. AWS, Snowflake, dbt).

What We Offer

• Competitive salary and performance-based bonus.
• The opportunity to define a core data capability from the ground up.
• Remote work across Europe with flexible collaboration hours.
• Private health insurance and wellness benefits.
• A culture that values curiosity, ownership, and collaboration.

Role scope and screening requirements (please read first):
 

• No hunting required. This role focuses on managing inbound opportunities and running the customer journey end-to-end (sales process, rollout, pilot delivery, and expansion). Outbound prospecting is not expected.
   
• B2B SaaS product background (non-negotiable). Experience in B2B SaaS within a software product environment (selling and/or running pilots with an engineering team). Backgrounds primarily from agencies, studios, gaming, or consumer-only roles are unlikely to be a fit.
   
• Intro video required (2–5 minutes). Please include a short self-introduction video link in your resume or submit it through the hiring platform in any available way (YouTube, Loom, Google Drive, or similar). A simple smartphone recording is perfectly fine. This does not replace live conversations, it only helps us speed up the first screening and understand your communication style and motivation.
  • In the video, please cover: who you are and 2–3 measurable outcomes you delivered, why you are applying for this role at Graphio.ai, why you are leaving or have left your previous role, and your view on how a high-ownership startup team should operate.
     
• Compensation depends on level. Salary will be based on your experience, demonstrated skills, and role fit, including ownership mindset, ambition, communication presence, and growth potential (scope and seniority will be aligned during the process).

Company overview:
 

Graphio.ai stops revenue loss before it happens by detecting broken handoffs between teams.
 

We analyze API-enabled metadata from your existing systems to automatically identify when Sales, Customer Success, Legal, Finance, Product, and Operations are misaligned - before deals stall, renewals fail, or contracts slip.
 

No workflow changes. Fast rollout in less than 2 days.

AI learns what successful execution looks like in your company and alerts you to dangerous deviations in real time.

We’ve built and scaled before: the team behind Graphio.ai previously built upSWOT, a B2B platform adopted by hundreds of financial institutions, which was later acquired by Uptiq.  We’re applying those lessons in execution, delivery, and scale to Graphio.ai.

Supported by senior leaders from Experian, Mastercard, Lattice, BambooHR, Altrata, SAP, JackHenry, FIS, Pfizer, Workday, Customertimes, and more (graphio.ai/investors).

Position Overview:
 

We are looking for a combined Account Executive / Project Manager to own the customer journey end-to-end: from first conversation and closing, through rollout, pilot execution, and expansion.

This is a hands-on role for someone who can sell value clearly to senior operators and then run a tight delivery process without heavy bureaucracy. You will work with cross-functional stakeholders on the customer side (Sales, Customer Success, Legal, Finance, Product, Operations) and coordinate internally with Product, Machine Learning and AI specialists, and Software Engineers to ensure fast time-to-value and a successful pilot outcome.

You will report directly and work day-to-day with the CEO and the Head of Operations, owning execution across the full customer journey: sales, rollout, pilot success, and expansion.

Key Responsibilities:
 

Account Executive responsibilities

• Own the sales cycle from prospecting to close: outreach, discovery, demos, proposal, negotiation, and contracting.
• Run structured discovery focused on execution breakdowns and broken handoffs, and translate them into a clear value story (deal velocity, renewals, contract cycle time, churn risk).
• Build and manage a healthy pipeline and forecasting discipline using a customer relationship management system.
• Coordinate procurement steps with customer stakeholders (security review, legal review, pricing, terms) and keep momentum high.
• Maintain high-quality account notes, next steps, and decision-maker maps to keep deals moving predictably.
   

Project Manager responsibilities (rollout + pilot ownership)

• Own rollout and pilot execution after signing: kickoff, timeline, responsibilities, risks, and weekly status updates.
• Coordinate customer setup: workspace creation, user invites, and the process of connecting systems and starting metadata collection (without requiring workflow changes).
• Drive clarity on pilot success criteria: what outcomes must be achieved, what reporting will be delivered (weekly/monthly), and who the accountable owner is on the customer side.
• Manage cross-team dependencies and stakeholder alignment on the customer side (Sales, Customer Success, Legal, Finance, Product, Operations).
• Keep the project moving with clear written communication, strong follow-through, and fast issue resolution when data access, permissions, or timelines block progress.
• Collect feedback from pilot usage and reporting, turn it into actionable product input, and coordinate improvements with the internal team.
• Own pilot wrap-up, results recap, and expansion path: renewals, upsell, or broader rollout based on measurable outcomes.

Preferred Qualifications:

• 1+ years in B2B SaaS sales, ideally including ownership of pilots or post-sale implementation/project management.
• Experience selling to and working with senior operators (Revenue Operations, Customer Success Operations, Deal Desk, Legal Operations, Finance Operations, or similar).
• Strong ability to manage a process: clear next steps, meeting discipline, written updates, and ownership of timelines and deliverables.
• Comfort discussing technical topics at a practical level (system connections, API-enabled metadata, permissions, data readiness), without needing to be an engineer.
• Strong negotiation and stakeholder management skills, including handling security/legal/procurement steps.
• Excellent written and verbal English communication in a remote-first environment.
• Evidence of being proactive and self-directed: you move work forward without needing constant instruction.
• Nice to have:
• Background in workflow tools, analytics products, or products tied to revenue outcomes (pipeline, renewals, contracts).
• Experience with multi-stakeholder enterprise deals and longer cycles.
• Familiarity with project management tools and structured pilot playbooks.

What we offer:

• A high-ownership role where you own both revenue and delivery outcomes, not just one part of the journey.
• A product with clear business impact and fast time-to-value, which makes selling and expanding simpler when execution is strong.
• Direct collaboration with Product, Machine Learning and AI specialists, and Software Engineers in a low-bureaucracy startup environment.
• Clear success metrics: closed revenue, pilot success rate, time-to-value, and expansion outcomes.
• Competitive compensation and room to grow into a sales lead / customer delivery leadership path as the company scales.

Company Operating Requirements:

At Graphio.ai we run a high-ownership, mission-driven team with clear operating rules. Please read these carefully before applying:

• LinkedIn profile is required (company policy). Employees are required to keep a current LinkedIn profile that shows their Graphio.ai position and is linked to the official Graphio.ai company page (company logo visible on the profile). Profile standards are provided during onboarding.
• Synchronized team vacations. The team takes coordinated time off four times per year to keep planning aligned and reduce context switching. Dates are announced in advance.
• Startup constraints. Vacation timing may be restricted during critical company periods. We plan time off as a team and communicate constraints early.
• Relocation readiness. Team members may reside in Ukraine, but must be prepared to relocate with their families to Europe or the United States if the company requests it and it becomes legally possible. Any relocation would be discussed in advance.
• Non-standard schedule. The role requires flexibility to collaborate across time zones. This may occasionally include early/late meetings depending on customer and team needs.
• US Eastern Time (ET) collaboration. This role requires regular overlap with US East Coast (ET) working hours. You must be comfortable running meetings, follow-ups, and execution in that time zone.
• Zero slow offboarding. We run lean and fast. When the fit isn’t there, we act quickly: employment may be ended within a day and access is removed immediately.

Application requirement: short intro video (required):

Please include a short self-introduction video (2–5 minutes). You can add the link directly to your resume or submit it through the hiring platform in any available way (YouTube, Loom, Google Drive, or similar).

• No need for a polished production, a simple smartphone recording is perfectly fine.
• This does not replace live conversations, it only helps us speed up the first screening and understand your communication style and motivation.
• In the video, please cover:
  • Who you are and 2–3 measurable outcomes you delivered in recent roles
  • Why you are applying for this role at Graphio.ai
  • Why you are leaving or have left your previous role
  • Your view on how a high-ownership startup team should operate (pace, ownership, communication, and work-life balance expectations)
• Applications without the video may not be reviewed.

Final note:
 

Graphio.ai is not a 9-to-5 corporate environment. We move fast, operate with high ownership, and expect proactive execution without micromanagement. Graphio.ai is a strong fit for people who actively seek challenges for personal growth - especially those who want to build their own company one day and see this as a place to learn how high-performing startups execute.

Because we work with US-based stakeholders, you should be comfortable aligning part of your schedule with US Eastern Time (ET).

Screening requirements (please read first):

• Non-negotiable: hands-on experience building or supporting production back-end systems for process mining or task mining and ML/AI-driven workflow analysis (pipelines, workflow reconstruction, model-serving integration, evaluation/monitoring, scalable APIs).
• Required: a 2–5 minute intro video link in your resume or via the platform (smartphone recording is fine). Applications without the video may not be reviewed.

Company overview:
 

Graphio.ai stops revenue loss before it happens by detecting broken handoffs between teams.
 

We analyze API-enabled metadata from your existing systems to automatically identify when Sales, Customer Success, Legal, Finance, Product, and Operations are misaligned - before deals stall, renewals fail, or contracts slip.
 

No workflow changes. Fast rollout in less than 2 days.

AI learns what successful execution looks like in your company and alerts you to dangerous deviations in real time.

We’ve built and scaled before: the team behind Graphio.ai previously built upSWOT, a B2B platform adopted by hundreds of financial institutions, which was later acquired by Uptiq.  We’re applying those lessons in execution, delivery, and scale to Graphio.ai.

Supported by senior leaders from Experian, Mastercard, Lattice, BambooHR, Altrata, SAP, JackHenry, FIS, Pfizer, Workday, Customertimes, and more (graphio.ai/investors).

Position Overview:

We are looking for a Senior AI Backend Engineer to design, build, and scale the core systems behind Graphio.ai’s workflow intelligence platform.

Graphio.ai connects to customer systems, ingests large volumes of event-based metadata, reconstructs real business workflows, and applies machine learning to discover ideal process paths (golden paths), detect anomalies, and surface insights.

This is a hands-on senior role for someone who is equally strong in:

• backend & distributed systems
• data-intensive architectures
• applied machine learning
• experimentation & research
• production-grade reliability

Our core stack: Python, C# (.NET Core / ASP.NET Core), MongoDB, ClickHouse, RabbitMQ.

We are looking for an engineer who deeply understands system architecture, can reason about data at scale, and is comfortable building, training, experimenting with, and deploying ML models into production.

What You Will Do:

Backend & Systems

• Design and build backend services and APIs using Python and C# (.NET Core / ASP.NET Core).
• Architect scalable, fault-tolerant, and observable systems for data ingestion, processing, and analytics.
• Build event-driven and asynchronous pipelines using RabbitMQ.
• Design data models and storage strategies using MongoDB and ClickHouse.
• Own system performance, reliability, and scalability.
• Implement strong observability: logging, metrics, tracing, alerting.
• Troubleshoot production issues, perform root cause analysis, and implement long-term fixes.

Data & Machine Learning

• Design and implement end-to-end ML pipelines: ingestion → feature engineering → training → evaluation → deployment.
• Train and iterate on ML models for workflow discovery, anomaly detection, and pattern recognition.
• Perform feature engineering on large-scale event and metadata streams.
• Run experiments, test hypotheses, and evaluate models using offline and online metrics.
• Conduct applied research: explore new modeling approaches, algorithms, and representations.
• Build batch and near-real-time inference pipelines.
• Monitor model performance, drift, and degradation in production.
• Implement retraining strategies and versioning.

Architecture & Product Thinking

• Define service boundaries, data contracts, schemas, and interfaces.
• Design for multi-tenancy, security, and compliance.
• Make pragmatic architectural decisions balancing speed, quality, and scale.
• Work closely with Product, ML, and Engineering to ship in small, measurable increments.
• Influence the technical direction of the platform.

Required Qualifications:

• 6+ years of experience in backend or systems engineering.
• Strong experience with Python and C# (.NET Core / ASP.NET Core).
• Experience building data-intensive systems (event ingestion, pipelines, analytics).
• Hands-on experience with machine learning:
  • training models
  • feature engineering
  • experimentation
  • evaluation
• Strong understanding of production ML systems (not just notebooks).
• Experience with MongoDB, ClickHouse, or similar databases.
• Experience with message brokers (RabbitMQ or similar).
• Strong understanding of distributed systems concepts:
  • idempotency
  • retries
  • backpressure
  • eventual consistency
  • failure modes
• Strong analytical and problem-solving skills.
• High ownership mindset.

Nice to Have:

• Experience with workflow analytics, process mining, or event-based systems.
• Experience with time-series or behavioral modeling.
• Experience with large-scale experimentation platforms.
• Familiarity with MLOps practices.
• Experience with cost optimization for data & ML workloads.
• Experience with Kubernetes and cloud infrastructure.

Why This Role Is Special:

This is not a typical backend role.
This is not a typical ML role.

You will be building a real AI system, not demos:

• messy real-world data
• real customers
• real scale
• real constraints
• real impact

If you like working at the intersection of systems, data, and intelligence, this role is for you.

What we offer:

• A senior role owning core backend systems behind an AI/ML product with clear, measurable customer impact.
• Direct collaboration with Machine Learning Engineers to bring models into production with reliability and speed.
• Real-world data engineering problems: metadata ingestion, workflow reconstruction, and scalable reporting/alerting.
• Fast iteration, low bureaucracy, and high trust - you ship and see results quickly.
• Remote-friendly team with a simple setup and strong standards.
• Competitive compensation and room to grow as the company scales.

Company Operating Requirements:

At Graphio.ai we run a high-ownership, mission-driven team with clear operating rules. Please read these carefully before applying:

• LinkedIn profile is required (company policy). Employees are required to keep a current LinkedIn profile that shows their Graphio.ai position and is linked to the official Graphio.ai company page (company logo visible on the profile). Profile standards are provided during onboarding.
• Synchronized team vacations. The team takes coordinated time off four times per year to keep planning aligned and reduce context switching. Dates are announced in advance.
• Startup constraints. Vacation timing may be restricted during critical company periods. We plan time off as a team and communicate constraints early.
• Relocation readiness. Team members may reside in Ukraine, but must be prepared to relocate with their families to Europe or the United States if the company requests it and it becomes legally possible. Any relocation would be discussed in advance.
• Non-standard schedule. The role requires flexibility to collaborate across time zones. This may occasionally include early/late meetings depending on customer and team needs.
• Zero slow offboarding. We run lean and fast. When the fit isn’t there, we act quickly: employment may be ended within a day and access is removed immediately.

Application requirement: short intro video (required):

Please include a short self-introduction video (2–5 minutes). You can add the link directly to your resume or submit it through the hiring platform in any available way (YouTube, Loom, Google Drive, or similar).

• No need for a polished production, a simple smartphone recording is perfectly fine.
• This does not replace live conversations, it only helps us speed up the first screening and understand your communication style and motivation.
• In the video, please cover:
  • Who you are and 2–3 measurable outcomes you delivered in recent roles
  • Why you are applying for this role at Graphio.ai
  • Why you are leaving or have left your previous role
  • Your view on how a high-ownership startup team should operate (pace, ownership, communication, and work-life balance expectations)
• Applications without the video may not be reviewed.

Final note:

Graphio.ai is not a 9-to-5 corporate environment. We move fast, operate with high ownership, and expect proactive execution without micromanagement. Graphio.ai is a strong fit for people who actively seek challenges for personal growth - especially those who want to build their own company one day and see this as a place to learn how high-performing startups execute.

Screening requirements (please read first):

• Non-negotiable: hands-on experience with process mining or task mining and ML/AI models used to analyze operational workflows (workflow discovery, variants, bottlenecks, cycle time, handoffs, deviations).
• Required: a 2–5 minute intro video link in your resume or via the platform (smartphone recording is fine). Applications without the video may not be reviewed.

Company overview:
 

Graphio.ai stops revenue loss before it happens by detecting broken handoffs between teams.
 

We analyze API-enabled metadata from your existing systems to automatically identify when Sales, Customer Success, Legal, Finance, Product, and Operations are misaligned - before deals stall, renewals fail, or contracts slip.
 

No workflow changes. Fast rollout in less than 2 days.

AI learns what successful execution looks like in your company and alerts you to dangerous deviations in real time.

We’ve built and scaled before: the team behind Graphio.ai previously built upSWOT, a B2B platform adopted by hundreds of financial institutions, which was later acquired by Uptiq.  We’re applying those lessons in execution, delivery, and scale to Graphio.ai.

Supported by senior leaders from Experian, Mastercard, Lattice, BambooHR, Altrata, SAP, JackHenry, FIS, Pfizer, Workday, Customertimes, and more (graphio.ai/investors).

Position Overview:

We are looking for a Senior Product Business Analyst (AI/ML) to help us build a polished, user-ready product experience around Graphio.ai’s core mission: stopping revenue loss before it happens by detecting broken handoffs between teams.

In this role, you will translate complex cross-functional execution problems into clear product requirements, data definitions, and measurable validation criteria. You will work closely with the Product Manager, Machine Learning and AI specialists, and Software Engineers to define what “successful execution” looks like for customers, turn that into reliable detection and alerting behavior, and continuously improve signal quality using API-enabled metadata from existing systems.

This role is rooted in B2B SaaS execution workflows, where multiple teams and systems must stay aligned for deals, renewals, and contracts to move smoothly. Your work will directly impact how accurately Graphio.ai detects misalignment early, how actionable the alerts are, and how fast customers see value after launch.

Key Responsibilities:

• Partner with the Machine Learning Engineer to define how the system automatically discovers and constructs the golden path (ideal workflow / best-performing execution pattern) from API-enabled metadata - including inputs, assumptions, and expected outputs.
• You will not manually build or validate customer workflows. Your role is to define requirements, data definitions, and evaluation criteria so the model generates the ideal workflow reliably and consistently.
• Translate customer process reality into clear modeling requirements: what a workflow step is, how handoffs are represented, how similar workflows are grouped, and how “successful execution” is determined at scale.
• Define API-enabled metadata requirements needed for automated modeling: event taxonomy, entities, identifiers, timestamps, ownership fields, system-of-record rules, and data quality constraints.
• Specify deviation definitions relative to the golden path (ideal workflow): missing step, wrong sequence, excessive delay, broken ownership transition, stalled handoff - and how deviations should be prioritized.
• Work with Engineering and Machine Learning to ensure modeling outputs are product-ready: stable, consistent across updates, and understandable enough for the end user to act on.
• Own the user-facing capability to review and edit the golden path (ideal workflow): allow customers to add/remove steps and adjust what “good execution” means, while preserving a reliable baseline generated by the system.
• Define and continuously improve weekly/monthly reporting: what insights are surfaced, how they are explained, and how reports/alerts are delivered to the accountable owner (a specific responsible person).
• Establish evaluation and monitoring for automated modeling and deviation detection: track misses vs false alarms, consistency of the generated ideal workflow, lead time gained, and actionability tied to revenue outcomes.
• Investigate accuracy issues: analyze why the system generated an incorrect ideal workflow or missed a deviation, propose improvements, and validate fixes through regression checks.
• Maintain a library of reference workflows and test scenarios that represent common cross-team handoff patterns and failure modes in workflow-driven B2B environments.

Preferred Qualifications:

• Experience building or supporting AI/ML-enabled B2B SaaS products, especially where models drive user-visible workflows and decisions.
• Hands-on experience working with event-based data and operational systems (for example: CRM, customer success platforms, ticketing systems, project management tools, finance/contract systems).
• Familiarity with workflow analytics / process mining concepts (workflow reconstruction, handoffs, cycle time, bottlenecks, variants).
• Experience defining data contracts: event taxonomy, entity identifiers, timestamp conventions, ownership fields, and data quality rules.
• Background in designing evaluation and monitoring for model-driven product behavior (false positives/negatives, consistency, drift, and business impact).
• Exposure to LLM-powered features (structured prompting, quality criteria, safety constraints, and human review loops), with a product mindset rather than research focus.
• Ability to create and manage reference scenarios and test libraries that represent real enterprise workflows and edge cases.
• Comfort collaborating across Product, Machine Learning, and Engineering teams in an agile environment, with strong written documentation skills.
• Experience working in workflow-heavy domains such as Revenue Operations, Customer Success Operations, Deal Desk, Legal Operations, Finance Operations, or Project Delivery.
• Prior work in early-stage or fast-scaling environments where you owned problems end-to-end and shipped iteratively.

What we offer:

• A role where you actually own a meaningful slice of the product (how the ideal workflow is defined, how deviations are detected and explained, how reports work).
• Close, practical collaboration with the Machine Learning Engineer and Software Engineers to ship improvements - not just write specs.
• Clear success criteria: fewer false alarms, fewer missed deviations, better weekly/monthly reports, faster time-to-value for customers.
• A fast feedback loop: you’ll work with real customer workflows (metadata only), learn what breaks, fix it, and see results quickly.
• Exposure to real cross-team execution in companies: Sales, Customer Success, Legal, Finance, Product, Operations - and how handoffs impact revenue.
• Remote-friendly team with a simple setup and low overhead.
• Competitive compensation and room to grow as the product and team scale.

Company Operating Requirements:

At Graphio.ai we run a high-ownership, mission-driven team with clear operating rules. Please read these carefully before applying:

• LinkedIn profile is required (company policy). Employees are required to keep a current LinkedIn profile that shows their Graphio.ai position and is linked to the official Graphio.ai company page (company logo visible on the profile). Profile standards are provided during onboarding.
• Synchronized team vacations. The team takes coordinated time off four times per year to keep planning aligned and reduce context switching. Dates are announced in advance.
• Startup constraints. Vacation timing may be restricted during critical company periods. We plan time off as a team and communicate constraints early.
• Relocation readiness. Team members may reside in Ukraine, but must be prepared to relocate with their families to Europe or the United States if the company requests it and it becomes legally possible. Any relocation would be discussed in advance.
• Non-standard schedule. The role requires flexibility to collaborate across time zones. This may occasionally include early/late meetings depending on customer and team needs.
• US Eastern Time (ET) collaboration. This role requires regular overlap with US East Coast (ET) working hours. You must be comfortable running meetings, follow-ups, and execution in that time zone.
• Zero slow offboarding. We run lean and fast. When the fit isn’t there, we act quickly: employment may be ended within a day and access is removed immediately.

Application requirement: short intro video (required):

Please include a short self-introduction video (2–5 minutes). You can add the link directly to your resume or submit it through the hiring platform in any available way (YouTube, Loom, Google Drive, or similar).

• No need for a polished production, a simple smartphone recording is perfectly fine.
• This does not replace live conversations, it only helps us speed up the first screening and understand your communication style and motivation.
• In the video, please cover:
  • Who you are and 2–3 measurable outcomes you delivered in recent roles
  • Why you are applying for this role at Graphio.ai
  • Why you are leaving or have left your previous role
  • Your view on how a high-ownership startup team should operate (pace, ownership, communication, and work-life balance expectations)
• Applications without the video may not be reviewed.

Final note:

Graphio.ai is not a 9-to-5 corporate environment. We move fast, operate with high ownership, and expect proactive execution without micromanagement. Graphio.ai is a strong fit for people who actively seek challenges for personal growth - especially those who want to build their own company one day and see this as a place to learn how high-performing startups execute.

Screening requirements (please read first):

• Non-negotiable: hands-on experience with process mining or task mining and ML/AI models used to analyze operational workflows (workflow discovery, variants, bottlenecks, cycle time, handoffs, deviations).
• Required: a 2–5 minute intro video link in your resume or via the platform (smartphone recording is fine). Applications without the video may not be reviewed.

Company overview:
 

Graphio.ai stops revenue loss before it happens by detecting broken handoffs between teams.
 

We analyze API-enabled metadata from your existing systems to automatically identify when Sales, Customer Success, Legal, Finance, Product, and Operations are misaligned - before deals stall, renewals fail, or contracts slip.
 

No workflow changes. Fast rollout in less than 2 days.

AI learns what successful execution looks like in your company and alerts you to dangerous deviations in real time.

We’ve built and scaled before: the team behind Graphio.ai previously built upSWOT, a B2B platform adopted by hundreds of financial institutions, which was later acquired by Uptiq.  We’re applying those lessons in execution, delivery, and scale to Graphio.ai.

Supported by senior leaders from Experian, Mastercard, Lattice, BambooHR, Altrata, SAP, JackHenry, FIS, Pfizer, Workday, Customertimes, and more (graphio.ai/investors).

Position Overview:

We are looking for a Product Owner (AI/ML) - Workflow Intelligence who can combine strong product ownership with senior-level analytical rigor.

You will own a core slice of Graphio.ai end-to-end: system connection experience, metadata collection and processing, automatic ideal workflow (golden path) generation, deviation detection, and weekly/monthly reporting delivered to a single accountable owner. At the same time, you will operate hands-on as a senior product analyst: defining metadata requirements, deviation criteria, evaluation and monitoring, and the test scenarios that keep model behavior stable and product-ready.

This role is rooted in workflow-driven B2B SaaS execution, where cross-team handoffs determine whether deals move forward, renewals succeed, and contracts get signed on time.

Key Responsibilities:

• Own the product backlog and execution for workflow intelligence: prioritize, define scope, drive delivery, and ship improvements with clear success criteria.
• Partner with the Machine Learning Engineer to define how the system automatically discovers and constructs the ideal workflow (golden path / best-performing execution pattern) from API-enabled metadata - including inputs, assumptions, and expected outputs.
• You will not manually build or validate customer workflows. Your job is to define requirements, data definitions, and evaluation criteria so the model generates the ideal workflow reliably and consistently.
• Translate customer process reality into modeling requirements: what a workflow step is, how handoffs are represented, how similar workflows are grouped, and how “successful execution” is determined at scale.
• Define metadata-first data requirements: event taxonomy, entities, identifiers, timestamps, ownership fields, system-of-record rules, and data quality constraints.
• Specify deviation definitions and prioritization: missing step, wrong sequence, excessive delay, broken ownership transition, stalled handoff - and how severity is ranked.
• Own the user-facing experience for reviewing and editing the ideal workflow: allow customers to add/remove steps and adjust what “good execution” means, while preserving a reliable baseline generated by the system.
• Own weekly/monthly reporting and alerting: what insights are surfaced, how they are explained, and how reports/alerts are delivered to the accountable owner (a specific responsible person).
• Establish evaluation, monitoring, and quality gates for model-driven behavior: misses vs false alarms, consistency of the generated ideal workflow, drift signals, lead time gained, and actionability tied to revenue outcomes.
• Run investigations for accuracy issues: analyze why the system generated an incorrect ideal workflow or missed a deviation, propose improvements, and validate fixes through regression checks.
• Maintain a library of reference workflows and test scenarios that represent common cross-team handoff patterns and failure modes, and use it for regression coverage across releases.
• Align stakeholders and drive clarity: convert ambiguous asks into decisions, keep execution moving without heavy process, and ensure releases are understandable and actionable for end users.

Preferred Qualifications:

• 4+ years in Product Owner / Product Manager roles, or in senior product business analysis roles with real product ownership scope.
• Experience shipping AI/ML-enabled features in B2B SaaS where model behavior directly impacts users and decisions.
• Strong background working with event-based data and operational systems (CRM, customer success platforms, ticketing systems, project management tools, finance/contract systems).
• Comfort defining data contracts: event taxonomy, entity identifiers, timestamp conventions, ownership fields, system-of-record rules, and data quality constraints.
• Familiarity with workflow analytics / process mining concepts (handoffs, cycle time, variants, bottlenecks).
• Strong analytical discipline: defining evaluation criteria, monitoring misses vs false alarms, and connecting model output to business outcomes.
• Strong written communication, ability to drive decisions, and comfort operating in ambiguity with a small high-ownership team.
• Prior work in early-stage or fast-scaling environments where you owned problems end-to-end and shipped iteratively.

What we offer:

• A combined role with real ownership: product decisions + analytical depth, with direct influence on core workflow intelligence.
• Close collaboration with the Machine Learning Engineer and Software Engineers to ship - not just plan.
• Clear success criteria: higher actionability, fewer false alarms, fewer missed deviations, better weekly/monthly reports, faster time-to-value.
• Fast feedback loops using real customer workflows (metadata only).
• Exposure to cross-team execution patterns across Sales, Customer Success, Legal, Finance, Product, and Operations.
• Remote-friendly team with a simple setup and low overhead.
• Competitive compensation and room to grow as the product and team scale.

Company Operating Requirements:

At Graphio.ai we run a high-ownership, mission-driven team with clear operating rules. Please read these carefully before applying:

• LinkedIn profile is required (company policy). Employees are required to keep a current LinkedIn profile that shows their Graphio.ai position and is linked to the official Graphio.ai company page (company logo visible on the profile). Profile standards are provided during onboarding.
• Synchronized team vacations. The team takes coordinated time off four times per year to keep planning aligned and reduce context switching. Dates are announced in advance.
• Startup constraints. Vacation timing may be restricted during critical company periods. We plan time off as a team and communicate constraints early.
• Relocation readiness. Team members may reside in Ukraine, but must be prepared to relocate with their families to Europe or the United States if the company requests it and it becomes legally possible. Any relocation would be discussed in advance.
• Non-standard schedule. The role requires flexibility to collaborate across time zones. This may occasionally include early/late meetings depending on customer and team needs.
• US Eastern Time (ET) collaboration. This role requires regular overlap with US East Coast (ET) working hours. You must be comfortable running meetings, follow-ups, and execution in that time zone.
• Zero slow offboarding. We run lean and fast. When the fit isn’t there, we act quickly: employment may be ended within a day and access is removed immediately.

Application requirement: short intro video (required):

Please include a short self-introduction video (2–5 minutes). You can add the link directly to your resume or submit it through the hiring platform in any available way (YouTube, Loom, Google Drive, or similar).

• No need for a polished production, a simple smartphone recording is perfectly fine.
• This does not replace live conversations, it only helps us speed up the first screening and understand your communication style and motivation.
• In the video, please cover:
  • Who you are and 2–3 measurable outcomes you delivered in recent roles
  • Why you are applying for this role at Graphio.ai
  • Why you are leaving or have left your previous role
  • Your view on how a high-ownership startup team should operate (pace, ownership, communication, and work-life balance expectations)
• Applications without the video may not be reviewed.

Final note:

Graphio.ai is not a 9-to-5 corporate environment. We move fast, operate with high ownership, and expect proactive execution without micromanagement. Graphio.ai is a strong fit for people who actively seek challenges for personal growth - especially those who want to build their own company one day and see this as a place to learn how high-performing startups execute.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

We are developing a no-code automation platform designed for enterprise IT and support teams. The product integrates with multiple third-party systems—such as cloud providers, identity services, and ITSM tools—to automate routine tasks and improve operational efficiency. Built as a microservices architecture using FastAPI and AsyncIO, the platform manages high volumes of data through Postgres and Redis, and relies on HTTP/REST APIs and OAuth for secure communication. Current initiatives include the design and implementation of autonomous AI-driven workflows to resolve support tickets and streamline IT processes. The system must deliver high reliability and low latency at scale, handling complex orchestration and integrations while maintaining clear auditability and extensibility.

About the Role:

As a Senior Python Engineer, you will own the design, development, and maintenance of core backend services and REST APIs for our automation platform. You will collaborate directly with stakeholders and a cross-border engineering team. While your primary focus will be on server-side components—including database interactions, task orchestration, and third-party integrations—you will also provide backup support for minor front-end tasks using TypeScript and ReactJS. You will take full ownership of your modules, identify root causes of production issues, propose architecture improvements, and contribute to our AI automation initiatives. This role offers autonomy, direct impact on product direction, and opportunities to shape a next-generation platform for enterprise IT automation.

Key Responsibilities:

• Design, implement, and maintain Python-based REST APIs and backend services using FastAPI and AsyncIO.
• Integrate with external systems (cloud providers, identity platforms, ITSM tools) via HTTP/REST interfaces.
• Manage data persistence and caching with Postgres and Redis, ensuring performance and reliability.
• Collaborate on microservices architecture, contributing to code reviews and design discussions.
• Perform root-cause analysis and debugging of production issues to maintain high service availability.
• Support some front-end tasks in ReactJS and TypeScript
• Work with DevOps and infrastructure teams on cloud-based deployments and system design.
• Leverage AI-assisted development tools to improve code quality and productivity.

Required Competence and Skills:

• 6+ years of professional experience in software development, with a focus on Python.
• Strong understanding of computer science fundamentals, algorithms, and data structures.
• Proficiency with Postgres and Redis for data storage and caching.
• Experience deploying and operating services on Azure or another major cloud platform.
• Practical skills in TypeScript and ReactJS for front-end maintenance tasks.
• In-depth knowledge of HTTP, REST API design, and OAuth protocols.
• Product-oriented mindset with experience collaborating directly with designers and stakeholders.
• Experience using AI-powered development tools (e.g., Copilot, Cursor) in daily workflow.

Nice to Have:

• Familiarity with Next.js for server-rendered React applications.
• Experience with Temporal or similar orchestration/workflow systems.
• Knowledge of message queue systems (Kafka, RabbitMQ) and event-driven architectures.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

Project overview

Summa is a cloud-based platform designed to transform the operations of accounting firms and tax consultants in Israel. By automating routine technical and administrative tasks, Summa enables professionals to focus on strategic and analytical aspects of their work, reducing operational hours by up to 80%. The platform leverages advanced technologies like machine learning, artificial intelligence, and Optical Character Recognition (OCR) to optimize processes such as auditing, bookkeeping, tax reporting, and office management. Fully compliant with Israeli regulations and approved by the Israel Tax Authority, Summa aims to create a paperless, efficient, and cost-effective environment for accounting professionals.
As part of the Summa team, you will play a vital role in enhancing the platform’s functionality, improving its user experience, and ensuring it remains at the forefront of technology in the accounting industry.

Role
As a Python Developer (AI/ML Integrations) at Summa, you will play a key role in integrating AI and machine learning solutions into the platform, optimizing processes, and ensuring seamless interactions between advanced technologies and user workflows.

Requirements

• 3+ years of professional experience as a Python Developer
• Proven hands-on experience integrating LLMs into backend or production systems.
• Strong understanding of vector databases and semantic search technologies.
• Solid expertise in RAG architecture and modern AI system design.
• Experience building robust ETL processes and data pipelines.
• Strong knowledge of API development (REST, GraphQL).
• Practical experience with cloud platforms such as AWS or Azure.
• Proficiency with Git and modern CI/CD pipelines
• Experience working in a start-up environment
• English-Upper-Intermediate (B2)

Nice to have

• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Experience working with data lakes, data warehouses, or large-scale document processing systems.
• Understanding of MLOps practices, model lifecycle management, and deployment strategies.
• Experience with MCP, advanced agent frameworks, and multi-agent systems.
• Design and maintain automation workflows (e.g., n8n)
• Experience with the fintech industry

Responsibilities

• Design, develop, and maintain backend services and AI-driven systems using Python.
• Integrate and operationalize Large Language Models (LLMs) in production environments.
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and unstructured data sources.
• Build and optimize ETL workflows and data pipelines for structured and unstructured data.
• Develop and maintain APIs (REST, GraphQL) using frameworks such as FastAPI, Flask, or Django.
• Implement and manage AI agents, agent-to-agent (A2A) interactions, skills, and tool-based reasoning workflows.
• Integrate OCR, document processing, and knowledge extraction pipelines.
• Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar.
• Ensure system reliability, scalability, security, and performance in cloud environments.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Contribute to architecture decisions, code reviews, and best practices.

We offer

• 20 vacation days (workdays)
• 7 sick days
• Personalized career growth
• Education reimbursement
• Corporate events and team buildings
• Equipment provided

Наш клієнт — міжнародна онлайн-гемблінгова компанія, що надає послуги ставок на спорт і казино з сильною присутністю в Латинській Америці. Їхня стратегія — це якісний, персоналізований ігровий досвід, що базується на сучасних технологіях та локалізованих сервісах. Компанія розробляє та запускає власні ігри для казино, а також керує власними платформами CRM, CS і бек-офісу.
 

Ідеально для тих, хто прагне:

• Будувати та масштабувати автоматизовані lifecycle-флоу (Welcome, Reactivation, Churn Prevention) у каналах Email / SMS / Push / WhatsApp (не масові розсилки для всіх);
• Працювати з детальною сегментацією (наприклад: фанати слотів / беттори вихідного дня / VIP у зоні ризику) та підбирати релевантні інсентиви під конкретну аудиторію;
• Впливати на ефективність бонусних витрат через підхід bonus-to-GGR (мислення бюджетами) та оптимізацію механік інсентивів;
• Запускати incrementality / true lift аналіз, щоб розуміти, чи бонус реально змінив поведінку користувача (чи депозит стався б і без нього);
• Володіти якістю промо (promo QA & stability): робити sanity-check бонусних лінків/кодів/тригерів перед кожним релізом.
   

Досвід, який стане твоєю перевагою:

• 1–2 роки практичного досвіду на позиції CRM Manager в iGaming (casino/sportsbook);
• Розуміння мультиканальної lifecycle-автоматизації (Email / SMS / Push / WhatsApp) та базових принципів сегментації;
• Сильна увага до деталей, QA-підхід у роботі та впевненість у роботі з ключовими CRM-метриками й цифрами;
• Досвід A/B тестів або оцінки впливу кампаній;
• Англійська на рівні B1+ (Intermediate); іспанська буде плюсом.
   

Ми цінуємо:

• Енергійність та проактивність у щоденній роботі;
• Комфорт у швидкому темпі та готовність залишатися на зв’язку, коли це важливо;
• Сильне бажання зростати, швидко вчитись і брати на себе більше відповідальності.
   

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Фокус на здоров’я та well-being;
• Глобальне медичне страхування;
• Можливості професійного росту та розвитку;
• Benefit-програми (компенсація спортзалу, стоматології, психологічних сервісів тощо);
• Performance-based бонуси та винагороди;
• Динамічне, міжнародне робоче середовище.

English version:

Our client is an international online gaming company offering sports betting and casino services, with a strong presence in Latin America. The company focuses on delivering a high-quality, personalized gaming experience by leveraging advanced technology and localized solutions. The client develops and launches proprietary Casino Games and operates its own CRM, Customer Support, and Back-office platforms.
 

Perfect for those who aim to:

• Build and scale automated lifecycle flows (Welcome, Reactivation, Churn Prevention) across Email / SMS / Push / WhatsApp (not broadcast to everyone campaigns);
• Work with granular segmentation (e.g., Slot Fans / Weekend Bettors / at-risk VIPs) and match the right incentives to the right audience;
• Contribute to bonus cost efficiency through bonus-to-GGR budget thinking and incentive mechanics optimization;
• Run incrementality / true lift analysis to understand whether a bonus truly changed behavior (or users would have deposited anyway);
• Own promo QA & stability by doing sanity-checks of bonus links/codes/triggers before each release.
   

Experience you’ll need to bring:

• 1-2 years of hands-on experience as a CRM Manager / CRM Specialist in iGaming (casino/sportsbook);
• Solid understanding of multi-channel lifecycle automation (Email/SMS/Push/WhatsApp) and basic segmentation principles;
• Strong attention to detail with a QA mindset, and confidence working with core CRM metrics and numbers;
• Exposure to A/B testing or campaign impact evaluation;
• English B1+ (Intermediate); Spanish is a plus.
   

It’s a perfect match if you have those personal features:

• Energetic and proactive in day-to-day work;
• Comfortable in a fast-paced environment and ready to stay responsive when it matters;
• Strong desire to grow, learn quickly, and take on more responsibility.
   

Our clients offer competitive benefits to support your professional and personal growth, including:

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.
   

Apply, and let your growth journey begin.

🚀 About the Project

Our client is rebuilding their core technology stack with a strong focus on Azure cloud infrastructure and .NET backend services. This is a high-impact modernization initiative where data plays a critical role in business operations.

We are looking for a Data Engineer who will drive backend data services development, optimize ETL processes, and ensure reliable data flows across the system. You’ll work with large-scale datasets and contribute to building a scalable, cloud-native data infrastructure.

Engagement model: Long-term outstaff collaboration

Your Responsibilities:

• Design, develop, and maintain backend data services using .NET and Azure
• Build and optimize ETL pipelines for integrating data from multiple sources
• Ensure seamless and reliable data flow from SQL Server to document generation (PDFs) and printing systems
• Manage large datasets and implement efficient storage solutions in Azure
• Collaborate with cross-functional engineers to ensure scalability, performance, and system efficiency
• Contribute to architectural decisions within the new cloud-based stack
   

Required Skills & Experience:

• 5+ years of strong commercial experience with .NET backend development
• Solid hands-on experience with Azure cloud infrastructure
• Deep expertise in SQL Server (performance tuning, complex queries, data modeling)
• Proven experience building and maintaining ETL processes
• Experience working with large datasets and designing scalable data solutions
• Strong problem-solving skills in backend data processing and system optimization

• Good communication skills and ability to work in a collaborative environment

   

 Nice to Have:

• Experience with document generation workflows
• Background in system modernization or legacy migration projects

• Understanding of distributed systems and performance optimization

   

👉 What we offer:

📈 Professional Growth opportunities:

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;
• Possibility for both vertical or horizontal growth (in case you want to try a different path).

🎁 Benefits program

• 18 working days of fully paid vacation;
• Free tax reporting support by our Financial department;
• Help with individual entrepreneurs’ questions and accounting support;
• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.);

😌 Comfortable Working conditions

• Flexible working hours;
• Provision of required equipment;
• Remote working model.