Jobs at Djinni

About your key responsibilities and impact:

• Designing and implementing scalable and efficient software architectures;
• Writing, testing, and debugging complex code for new and existing software applications;
• Providing guidance and mentorship to junior engineers and team members;
• Conducting thorough code reviews to ensure code quality, security, and best practices;
• Creating and maintaining comprehensive technical documentation for software development and system design;
• Leading and managing software development projects, ensuring timely delivery and quality (shared responsibility with the Delivery Manager);
• Working closely with cross-functional teams, including product management, design, and operations, to align development efforts with business goals;
• Researching and implementing new technologies and methodologies to improve software performance and development processes;
• Identifying and resolving complex software issues and technical challenges;
• Driving continuous improvement in software development practices and processes;
• Communicating effectively with stakeholders, including presenting technical concepts and project updates;
• Delivering code to production in a timely manner according to business expectations.

Essential professional experience:

• 3+ years of experience in back end;
• System Design & Architecture – strong experience designing scalable, resilient .NET systems using microservices, event-driven and cloud-native architectures (Azure/AWS);
• Backend Expertise – advanced C# skills, RESTful API development, asynchronous programming, and deep understanding of design and resilience patterns (DDD, CQRS, circuit breaker, etc.);
• Database Mastery – proficiency in SQL optimization, data modeling, indexing, and experience with both relational and NoSQL databases;
• Messaging & Performance – hands-on Kafka expertise, high-load system optimization, caching, and distributed computing;
• DevOps & Cloud – solid experience with CI/CD pipelines, Docker/Kubernetes, and infrastructure automation;
• Quality & Observability – strong focus on testing (xUnit, NUnit), monitoring (Serilog, App Insights), and secure coding practices;
• Leadership & Collaboration – mentoring peers, driving technical decisions, and ensuring engineering excellence within Agile teams;
• Languages – Intermediate+ English, B2+ Ukrainian/Russian

We are global advocacy platform powering creator communities for the world's leading beauty and personal care brands. Founded in 2019, we help brands like L'Oréal, Estée Lauder, Coty, and Unilever build authentic relationships with millions of creators, driving user-generated content at scale.

What We Do:

• Connect brands with 350M+ creators globally through our proprietary database
• Power advocacy programs across 40+ markets (US, UK, EU, LATAM, Middle East, Asia)
• Process millions of creator interactions, content submissions, and campaign data points monthly
• Handle sensitive personal data (PII), financial transactions, and brand-creator relationships

Our Scale:

• Trusted by Fortune 500 beauty & personal care brands
• Processing 100k+ creator content submissions monthly
• Operating in 40+ countries with localized compliance requirements

Why Join Us:

• High-growth SaaS scale-up at the intersection of social, beauty, and enterprise tech
• Build security & compliance infrastructure from the ground up - you'll own it
• Work directly with Fortune 500 clients (L'Oréal, Unilever, Estée Lauder)
• Remote-first culture with global team
• Meaningful equity stake in a fast-growing company

The Role: Head of Information Security & Compliance

As our first Head of InfoSec & Compliance, you'll be the guardian of trust - ensuring we meet the highest standards of data protection, security, and regulatory compliance as we scale globally. You'll build our compliance framework from the ground up, own enterprise client security reviews, and future-proof our platform for SOC 2, ISO 27001, and global data privacy regulations.

This is a foundational role. You'll have the autonomy to shape our security posture, define policies, and build the systems that enterprise clients demand.

What You'll Do

Compliance & Regulatory (40%)

• Own GDPR, CCPA, LGPD, and emerging data privacy regulations across 40+ markets
• Maintain SOC 2 Type II certification (or lead first certification if not yet achieved)
• Prepare for ISO 27001 certification roadmap
• Manage DPIAs (Data Protection Impact Assessments) for new features/markets
• Be the go-to expert for client compliance questionnaires, security reviews, and audits
• Ensure vendor compliance (AWS, payment processors, third-party APIs)

Client Security & Enterprise Sales Enablement (30%)

• Own enterprise client security reviews (infosec questionnaires, pen test reports, architecture reviews)
• Support sales team with security documentation, certifications, and client security calls
• Build & maintain security collateral (security white papers, data flow diagrams, compliance matrices)
• Act as security liaison for enterprise clients (L'Oréal, Unilever, Estée Lauder)
• Negotiate data processing agreements (DPAs) and BAAs

InfoSec Infrastructure & Risk Management (30%)

• Design and implement security policies, procedures, and controls
• Conduct regular risk assessments and threat modeling
• Manage vulnerability management program (pen tests, bug bounties, security scanning)
• Oversee incident response planning and execution
• Drive security awareness training for engineering and ops teams
• Monitor security tools (SIEM, CASB, endpoint protection) and respond to alerts

We’re looking for a proactive Employer Branding Specialist to develop and promote TechMagic’s employer brand, helping us attract and retain top talent.

What we expect from you:

• 1–2 years of hands-on experience in employer branding, HR, talent marketing, general marketing, or communications
• Experience working with employer brand or hiring-related channels: career page, LinkedIn, job platforms, or similar
• Experience creating or supporting content: writing posts, preparing texts, reviewing visuals, or coordinating content with others
• Proactive attitude to work, willingness to take ownership, and see tasks through from idea to execution
• Focus on measurable outcomes of employer branding activities (reach, engagement, candidate feedback)
• Ability to manage several tasks at the same time and meet deadlines
• English level: Intermediate strong or higher

What you will do:

• Be responsible for the company’s presence on the candidate market (career page, social media, job platforms, external channels); monitor and adjust our positioning
• Proactively propose, create, and implement new ideas to increase employer brand awareness
• Collaborate closely with the Recruitment team to support hiring for challenging roles
• Manage our social media pages by coordinating with the Content Maker and Designer, approving content and visuals, and publishing final posts with basic performance tracking
• Fully manage volunteering initiatives end-to-end, including idea generation, partner collaboration, execution, and promotion
• Measure the impact of employer branding activities using basic metrics, analytics, and feedback
• Regularly conduct market and competitor research to identify trends and opportunities in employer branding
• Build and manage collaborations with influencers, bloggers, and other relevant partners to strengthen and expand our employer brand presence

Team & collaboration

• You will work closely with HR, Recruitment, and LnD teams
• A part-time Content Maker and a part-time Designer will support content creation and execution

Interview stages: 

1. Call with Recruiter (up to 45 minutes)
2. Test task
3. Interview with HRD and Head of Recruitment and Employer Branding (1 hour)

What we offer

• Opportunity to shape and grow employer branding from a strategic level
• Real ownership and visible impact on hiring and brand perception
• Support from a dedicated Content maker and designer
• Flexible working format and a values-driven environment
• Paid vacations and sick-leaves, additional days-off, relocation bonus
• Wellness: Medical insurance/ sport compensation/ health check-up+flu vaccination at your choice
• Education: regular tech-talks, educational courses, paid certifications, English classes
• Fun: own football team, budget for team-lunches, branded gifts
• One of the best IT employers in Lviv (or IT service companies in Ukraine) based on DOU rating 

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.

We are seeking a highly skilled Senior AI Engineer to design, integrate, and optimize AI-driven solutions across our platform. This role will focus on integrating existing AI tools and services, enhancing data processing and analysis workflows with AI, and laying the technical foundation for advanced AI capabilities.

You will work closely with backend, frontend, and product teams, and over time, grow into an AI Lead position, shaping the long-term AI strategy and architecture.

Key Responsibilities

AI Integration & Architecture

• Integrate and orchestrate third-party and in-house AI/ML tools (e.g., LLMs, embeddings, vector databases, AI APIs).
• Design scalable AI-powered services that integrate seamlessly with existing systems.
• Evaluate new AI technologies and tools, and recommend adoption based on business impact.

Data Processing & AI Optimization

• Optimize data pipelines for AI-driven processing, analysis, and automation.
• Apply AI techniques to improve data quality, insights generation, and operational efficiency.
• Collaborate with data and product teams to translate business needs into AI solutions.

Backend & Frontend Collaboration

• Build and maintain AI-enabled backend services using Python, AWS, and RESTful APIs.
• Expose AI capabilities via well-structured APIs for frontend consumption.
• Work with frontend engineers to integrate AI features into React applications.

Scalability, Reliability & Security

• Ensure AI solutions are production-ready, scalable, cost-efficient, and secure.
• Monitor performance, latency, and accuracy of AI systems in production.
• Implement best practices for model versioning, observability, and responsible AI use.

Leadership & Growth

• Act as a technical mentor for engineers working with AI-related features.
• Contribute to defining AI standards, best practices, and long-term roadmap.
• Gradually take ownership of AI architecture and strategy, growing into an AI Lead role.

Required Qualifications

• 5+ years of relevant experience in software engineering, machine learning, or AI-focused roles.
• Strong proficiency in Python, with experience building production backend systems.
• Hands-on experience with AI/ML integration, including LLMs, ML APIs, or AI platforms.
• Experience with AWS (e.g., EC2, Lambda, S3, SageMaker, or similar services).
• Solid understanding of RESTful API design and microservice architectures.
• Experience collaborating with frontend teams using React or similar frameworks.
• Strong knowledge of data processing, analysis pipelines, and performance optimization.
• Ability to design systems that balance experimentation with production reliability.

Nice to Have

• Experience with MLOps, model deployment, and monitoring.
• Familiarity with vector databases, retrieval-augmented generation (RAG), or agent-based systems.
• Experience optimizing AI cost, latency, and inference performance.
• Prior experience mentoring engineers or leading technical initiatives.
• Exposure to AI ethics, governance, and compliance considerations.

What We Offer

• Opportunity to build and scale AI capabilities in a real-world production environment.
• Clear growth path toward an AI Lead position with strategic ownership.
• High level of autonomy and technical influence.
• Collaborative environment working across backend, frontend, and product teams.
• Competitive compensation and benefits, commensurate with experience.

Tired of reading AI-written jobs?.. me too, me too.. as well as of cv’s … :)

but here we are and…

Well this looks like a job for me you!

So, everybody, just follow me:

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Weʼre looking for a person who will bring our sales activity to a next level.

We are:

- SEO-promotion company

- Swiss-based

- trustful and have more than 6 years of success on a market

- are ready to empower you with different sales/leadgen-services and materials

You:

- speak fluent English

- have B2B sales experience

- are systematic person

- have high level of emotional intelligence

* Also nice to have, but not an obligation:

- German language

- knowledge of SEO or past sells of SEO as a promotion service

That’s it! Drop me a few words and your CV and let's will discover if our cooperation will be fruitful.

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.

On behalf of our Client, a well-established financial institution from the Caribbean region, Mobilunity is looking for a Engineering Manager for a long-term engagement.

Our Client is the largest bank in the Caribbean region that serves 14 countries/territories. The aim is to make this organization from a traditional bank into a new era of fintech, working on the edge of what current fintech may offer.

You will work in a fully remote, globally distributed team, collaborating closely with Product Managers, Engineers, and Business stakeholders across different time zones.

This role requires a high level of autonomy, strong product thinking, and the ability to operate in ambiguity. You will proactively shape requirements, facilitate discussions, and ensure design consistency across the product ecosystem.

The Engineering Manager is responsible for leading and mentoring our technical teams, ensuring high-quality software development, and aligning the engineering team’s efforts with company goals. They will collaborate closely with cross-functional teams, stakeholders, and senior leadership.

Key Responsibilities:

Technical Leadership:

• Provide technical direction and guidance in line with the company’s strategic objectives.
• Oversee architecture decisions, code reviews, and technology choices.

Team Management:

• Hire, onboard, mentor, and provide career development planning to engineers.
• Ensure efficient team dynamics, foster a collaborative environment, and address any challenges.
• Conduct regular 1:1s with team members, ensuring they are motivated, challenged, and continuously learning.

Project Management:

• Work closely with the product managers, business stakeholders, and tech leads to ensure projects are well-defined, scoped, and delivered on time.
• Monitor team progress, recognize potential roadblocks, and provide solutions.

Quality Assurance:

• Ensure delivery of high-quality software through rigorous development and testing processes.
• Collaborate with QA teams to ensure effective testing practices are in place.

Stakeholder Collaboration:

• Act as a bridge between the technical team, product managers, and other business stakeholders.
• Regularly update stakeholders on tech developments, challenges, and solutions.

Resource Management:

• Allocate engineering resources effectively across projects, ensuring timely delivery and optimal resource utilization.
• Manage the engineering budget, ensuring efficient allocation of resources, tools, and technologies.

Continuous Improvement:

• Stay updated with industry trends, emerging technologies, and best practices.
• Encourage and facilitate the team in attending workshops, trainings, and conferences.

• Promote a culture of continuous learning and innovation within the team.

   

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree is a plus
• 5+ years of software engineering experience with a proven track record of leading engineering teams
• Strong technical background
• Proficient in Agile methodologies and tools
• Exceptional leadership skills with a proven ability to motivate and guide teams
• Excellent problem-solving skills
• Strong communication and interpersonal skills

• Level of English — Upper-Intermediate and higher

   

Nice-to-have:

• Prior experience in the banking or financial sector
• Recognized engineering or management certification
• Experience in scaling technical teams and infrastructure

In return, we offer:

• The friendliest community of like-minded IT people
• Open knowledge-sharing environment — exclusive access to a rich pool of colleagues willing to share their endless insights into the widest variety of modern technologies
• Perfect office location in the city center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with the possibility to fit together both
• No open-spaces setup — separate rooms for every team’s comfort, and multiple lounge and gaming zones
• English classes in 1-to-1 & group modes with elements of gamification
• Never-ending fun: sports events, tournaments, music band, multiple affinity groups
• Neverending fun: sports events, tournaments, music band, multiple affinity groups

Come on board, and let’s grow together!

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 Designer to design the product experience that turns complex workflow intelligence into clear, trustworthy actions for busy operators.

Graphio.ai reconstructs cross-team workflows from API-enabled metadata, automatically generates an ideal workflow (golden path), detects deviations that signal broken handoffs, and delivers weekly/monthly reporting to a single accountable owner. Your job is to make this feel obvious: what the system found, why it matters, what to do next, and how to tune it - all without overwhelming the user.

This is a B2B SaaS product used by senior operators. The bar is high for clarity, speed, and confidence.

Key Responsibilities:

• Own end-to-end product design from discovery to final UI, including interaction design, visual design, and developer-ready handoff.
• Design core experiences for workflow intelligence: ideal workflow (golden path) review, deviation exploration, prioritization, and weekly/monthly reporting.
• Make complex output understandable and trustworthy: design explanations, decision support, and “what changed / what to do now” flows that drive action.
• Partner closely with the Product Manager, Machine Learning and AI specialists, and Software Engineers to turn model outputs into user-ready experiences and to iterate quickly.
• Create and maintain a scalable design system (components, patterns, guidelines) to keep the product consistent and fast to build.
• Lead user research in a pragmatic way: interviews, usability tests, and lightweight validation with operators to uncover confusion, friction, and adoption blockers.
• Design onboarding and first-time experience flows that support fast rollout and short time-to-value, without workflow changes.
• Use product data and qualitative feedback to identify drop-offs, iterate on UX, and improve engagement with reports and alerts.
• Ensure accessibility and inclusive design practices (WCAG-aligned where applicable) across core workflows and reporting views.
• Raise the overall quality bar: establish design principles for clarity, actionability, and trust in AI-driven insights.
• Mentor and support other designers as the team grows (when applicable).

Preferred Qualifications:

• 5+ years of product design experience, ideally in B2B SaaS, analytics, workflow tools, or data-heavy products.
• Strong portfolio showing end-to-end thinking: problem framing, exploration, trade-offs, and shipped outcomes.
• Experience designing for complex data, decision-support, or “insights-to-action” products (not just dashboards).
• Strong systems thinking: ability to turn messy workflows into clear information architecture and interactions.
• Proficiency in Figma (components, prototyping, design systems).
• Comfort collaborating closely with engineers and iterating quickly in a startup environment.
• Understanding of accessibility, usability best practices, and how to design for busy operators.
• Nice to have: familiarity with front-end constraints (HTML/CSS/JS), design for enterprise settings, and experience with AI-assisted product experiences.

What we offer:

• Ownership of core product surfaces where customers experience the value of Graphio.ai (ideal workflow review/editing, deviations, reporting).
• Tight collaboration with Product, Machine Learning, and Engineering with fast iteration cycles and clear feedback loops.
• A chance to design for clarity in a complex domain where good UX directly drives business outcomes.
• Growth into design leadership: as the company scales, you will have the opportunity to help hire, mentor, and lead a growing team of product designers, shaping our design culture, standards, and system.
• Remote-friendly team with low overhead and high trust.
• 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.
• 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.

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 Junior/Middle Backend Developer to help build and maintain the backend services that power Graphio.ai’s workflow intelligence product.

In this role, you will work on C# / .NET–based APIs and backend services that support customer onboarding (workspace setup and invites), system integrations, metadata ingestion and processing, and generation of user-facing outputs such as weekly/monthly reports and alerts.

You will join a small team where shipping, reliability, and clean engineering practices matter. This is a role for someone who wants to grow fast by working on real production systems, with support from senior engineers and clear technical direction.

Key Responsibilities:

• Build and maintain backend services and REST APIs using C# / .NET (ASP.NET Core) that powers core Graphio.ai flows: workspace setup, user access, system integrations, metadata ingestion, reporting, and alert delivery.
• Write clean, maintainable code and follow team standards; contribute to refactoring and long-term code health when needed.
• Work on ingestion and processing of metadata (events, entities, timestamps, identifiers) used for workflow intelligence and reporting.
• Design and implement asynchronous and event-driven processes using RabbitMQ (queues, background jobs, retries, idempotency).
• Improve API reliability and performance: clear contracts, consistent error handling, pagination, and rate limiting.
• Work with databases:
  • MongoDB for operational and metadata storage,
  • ClickHouse for analytics, aggregations, and reporting workloads.
• Write and optimize queries, design schemas and indexes, participate in migrations, and help ensure data integrity and consistency.
• Implement authentication, authorization, and secure-by-default practices (permissions, tenant boundaries, safe handling of sensitive data).
• Write unit and integration tests; participate in code reviews and apply feedback quickly.
• Monitor and troubleshoot services in production: use logs, metrics, and tracing; contribute to root-cause fixes.
• Document backend services and APIs: how they work, how to run locally, and how to debug common issues.
• Contribute to engineering workflows: Git-based collaboration, containerized development (Docker), and CI/CD practices.
• Collaborate with Product, Frontend, and Engineering peers to deliver features in small, shippable increments in a remote environment.

Required Qualifications:

• 1–2 years of backend development experience (or equivalent production experience through projects).
• Strong knowledge of C# and .NET (ASP.NET Core, Web API).
• Experience building REST APIs, including authentication, authorization, error handling, pagination, and versioning.
• Hands-on experience with MongoDB: schema design, indexes, aggregations, and query optimization.
• Understanding of analytical databases; experience with or willingness to learn ClickHouse (aggregations, partitioning, performance tuning).
• Experience with message queues and background processing; RabbitMQ is a strong plus.
• Understanding of asynchronous processing, eventual consistency, and retry mechanisms.
• Knowledge of secure engineering basics (auth, permissions, data protection).
• Comfortable working in a remote team: clear written communication, ownership of tasks, and predictable delivery.

Nice to Have:

• Experience building event-driven architectures and data pipelines.
• Experience working with large datasets and performance optimization.
• Familiarity with observability tools (logging, metrics, tracing).
• Startup experience or proven ability to move fast without heavy process.
• Experience with Kubernetes or cloud platforms (AWS, GCP, Azure).

What we offer:

• A practical growth role on real backend services used by customers, with clear feedback and mentorship from senior engineers.
• Work on meaningful product flows: metadata processing, workflow intelligence outputs, and reporting/alerts.
• A startup environment with low bureaucracy and fast iteration - you ship, learn, and improve quickly.
• Remote-friendly team with a simple setup and high trust.
• Competitive compensation (based on level) and growth opportunities as the team 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.

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.

🎯 Role Overview

As a Data Analyst at TrueLabel, you will play a key role in driving product and business growth through data. You will work with large volumes of iGaming data, transform raw numbers into clear insights and actionable recommendations, and help teams make confident, data-driven decisions.

This role combines deep analytical work, product research, and close collaboration with product, marketing, and tech teams to identify growth opportunities, validate hypotheses, and improve overall platform performance.
 

⚙️ Your Tasks:

• Conduct product and business research, analyzing user behavior, product performance, and key business metrics;
• Work with data and produce analytical reports and insights to support decision-making across teams;
• Design and maintain a system of dashboards for deep analytics of the product and business domains;
• Work with analytical infrastructure, including ClickHouse, MySQL, and PostHog;
• Design, analyze, and interpret A/B tests in collaboration with Web Analysts and Product Managers;
• Perform hypothesis generation and validation, testing ideas that impact product growth and monetization;
• Analyze data to identify trends, bottlenecks, and growth points within the business;
• Build dashboards in BI tools and ensure clarity, accuracy, and usability for stakeholders;
• Collaborate with Data Engineers on Data Mart development to support scalable analytics solutions.
   

👤 Our Criteria:

• 3+ years of experience in data analytics, including 1+ year in iGaming;
• Strong hands-on expertise in SQL and Python for data analysis;
• Solid understanding of statistics, probability theory, and hypothesis testing;
• Experience working with analytical databases and data infrastructure (ClickHouse, MySQL or similar);
• Proven ability to conduct deep analytical research and translate data into business insights;
• Experience building dashboards and analytical data marts using BI tools (Superset / Tableau / Power BI or similar);
• Familiarity with web analytics tools (PostHog, Amplitude, Google Analytics) is a plus;
• Confident use of Jupyter Notebook, Git, and collaboration tools;
• Business-oriented mindset, autonomy, structured and critical thinking;
• Good written and spoken English.

✨ Extra Value You Bring:

• Ability to see beyond numbers and understand how data impacts product, users, and revenue;
• Proactive mindset — you initiate analyses, not just respond to requests;
• Strong sense of data quality and consistency, ensuring reliable and trustworthy insights;
• Experience working in fast-paced, data-driven product environments;
• Curiosity and willingness to continuously improve analytics approaches and tooling.
   

💼 Our Offer:

• We are global — we don’t stick to office or remote options only;
• Flexible working hours: start anytime from 8 to 11, with a comfortable lunch break;
• Unlimited vacation days and sick-leaves, built on trust and responsibility;
• Relocation support for team members who are open to moving;
• 50% compensation for learning and professional development;
• Yearly performance reviews with transparent growth paths and regular performance bonuses;
• Strong focus on internal promotions and long-term growth;
• A team where every voice is heard and where your work has a visible and immediate impact;
• Thoughtful corporate gifts and team appreciation throughout the year.

🎯 Role Overview

As a PIQ Configuration Manager at TrueLabel, you will be responsible for configuring, optimizing, and monitoring payment method routing within our in-house DevCode (PIQ) platform. You will play a key role in ensuring high payment performance, stability, and scalability, working closely with payment providers, internal teams, and partners to continuously improve payment flows and KPIs.

This role sits at the intersection of payments, analytics, and operations, with a strong focus on data-driven decisions and system optimization.
 

⚙️ Your Tasks:

• Set up and manage routing configurations for payment methods in DevCode (PIQ), including cascading routing and failover logic;
• Monitor and analyze payment performance data, identifying trends, anomalies, and areas for improvement to meet and exceed key KPIs;
• Implement configuration changes based on performance analysis, business needs, and provider recommendations;
• Collaborate closely with Paydirection, analyzing reports and applying configuration improvements based on insights;
• Continuously optimize workflows and configuration processes to improve efficiency, reliability, and scalability;
• Collect, structure, and validate data to support accurate analysis and reporting for internal teams;
• Assist in preparing reports, dashboards, and performance summaries that clearly reflect client and payment method performance;
• Identify system and process improvement opportunities that enhance platform stability, payment success rates, and operational scalability;
• Work directly with payment service providers, staying up to date on their recommendations, settings changes, and product updates to ensure PIQ configurations remain optimal.
   

👤Our Criteria:

• 1+ years of experience in payments, fintech, or iGaming, preferably in a configuration, operations, or analytical role;
• Hands-on experience with payment routing and configuration management, including understanding of cascading routing and failover logic;
• Strong analytical mindset with the ability to investigate issues, identify root causes, and translate data into actionable improvements;
• Experience working with payment performance metrics, reports, and dashboards;
• Good understanding of payment flows and PSP ecosystems, including operational setups and provider recommendations;
• Ability to collaborate effectively with cross-functional teams and external partners;
• Good written and spoken English.
   

💼 Our Offer:

• We are global, we don’t stick to office or remote options only;
• We value work-life balance and start anytime from 8 to 11, with flexible lunchtime;
• We trust each other and provide unlimited vacation days and sick-leaves;
• We support our people and provide relocation options for team members, who are interested;
• We encourage growth and cover 50% of learning expenses;
• We hold yearly performance reviews to help our team members grow and reach new heights, and reward results with regular performance bonuses;
• We believe in potential and prefer to promote internally, giving everyone a chance to prove themselves, and building our company around talents above anything else;
• We are small enough to hear the opinion of every team member, and already big enough to act on the best ideas - an opportunity to have a visible and immediate impact;
• We celebrate our team with corporate gifts and thoughtful appreciation throughout the year.

About the Product:
 

They build one of the most trusted AI order-taking systems for drive-thrus, designed specifically for high-volume QSR environments and built to scale. Their AI consistently delivers over 93% order completion and 96% accuracy, enabling faster, error-free service across thousands of locations.

Their platform gives brands full control over scripts, upsells, and voice, while allowing franchisees to easily adapt menus, limited-time offers, and regional variations. Built-in labor optimization reduces employee stress and turnover, saves hours of labor every day, and significantly improves the guest experience.

They are growing rapidly and operate the largest number of voice-AI drive-thru deployments in the market, competing directly with both big tech and restaurant technology leaders.

They are now looking for a Staff Engineer to join their Infrastructure team and help shape the backbone of a highly complex, real-time system at scale.

 

About the Role:
 

As a Staff Engineer, you will operate at a high level of ownership and impact, working on systems that are already live in production and used at massive scale.

You will:

• Own and evolve critical parts of the core backend infrastructure -a real-time, distributed system written in Python and Rust
• Lead large technical initiatives end-to-end with minimal guidance
• Troubleshoot and resolve high-severity, complex production issues
• Continuously improve development velocity while maintaining exceptionally high reliability standards

Why You Should Apply

This role is ideal for engineers who want real technical ownership, not just influence on paper.

By joining them, you will:

• Work on mission-critical, real-time systems deployed at massive scale
• Tackle hard infrastructure problems involving networking, performance, concurrency, and reliability
• Have genuine autonomy to design, build, and ship impactful solutions
• Compete technically with top-tier big tech systems while retaining startup-level speed
• Influence architecture decisions that directly affect thousands of real-world locations
• Be part of a team that values deep technical excellence, resilience, and ownership

If you’re looking for a role where your experience truly matters - and where the problems are genuinely difficult - this is it.

Qualifications

• BSc in Software Development or equivalent industry experience
• Previous experience as a Staff or Principal Engineer in a startup environment
• 10+ years of Python development experience
• Strong experience with Python Asyncio
• Excellent software design and architecture skills
• Strong written and verbal communication skills
• Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc.)
• Deep understanding of networking protocols and operating systems
• Deep expertise in Python profiling and performance optimization
• Proven experience delivering and troubleshooting production-grade, cloud-based distributed systems
• Experience building and debugging real-time, low-level systems (e.g., kernel, drivers, RTOS)
• Hands-on experience with Kubernetes and Helm
• Experience working with multiple observability stacks
• Strong LLM prompting skills, while also being effective without them
• Experience with gRPC and gRPC troubleshooting
• Contributor or maintainer of an open-source project

Bonus Experience

• Knowledge of WebRTC, STUN/TURN, SIP, RTP, HLS, or RTMP
• Experience with Rust and PyO3
• Audio or voice-related programming experience

Qualities They’re Looking For

• Fast - you aim to be a true 10x engineer, not just another senior profile
• Resilient - comfortable balancing planned work with urgent, real-time issues
• Clear communicator - able to write concise documentation and explain complex ideas
• Strong problem solver with a systems-level mindset
• Extreme ownership and independence
• Ability to turn incomplete or ambiguous requirements into real products
• A collaborative team player who raises the technical bar around them
  
  If you’re passionate about AI, real-time systems, and backend development at scale, we’d love to hear from you!

About the Role
As the Account Manager at Scrambly, you will oversee all aspects of activities with the advertisers: technical setup of campaigns, campaign optimization towards KPIs, B2B communication, and upselling.

You will act as the main contact point for our partners across the gaming industry (e.g., Playtika, Scopely, SuperPlay), discussing marketing strategies, handling regular calls and day-to-day communication, and working on the technical side of the campaign performance. 

From the team's side, you'll take part in brainstorming new ideas and taking part in different assignments to grow your product understanding and user behavior. 

Your goal is to ensure campaigns operate properly while constantly working on achieving higher milestones that enable fast and sustainable partner growth.
 

Key Responsibilities

• Analyze and manage large data sets to optimize multi-reward campaigns
• Build and maintain strong relationships with advertisers, ensuring campaign success
• Communicate effectively with advertisers to identify opportunities and enhance partnerships
• Onboard new advertisers
• Assess the competitive landscape and find ways to increase revenue
• Provide regular project updates and address challenges as they arise

Requirements

• 1+ years of experience in similar domains: Account Management, Sales, etc
• Strong sales and negotiation skills
• Solid analytical skills, ability to work confidently with numbers and data
• Understanding of mobile attribution and campaign tracking
• Entrepreneurial mindset with a drive for continuous learning
• Great problem-solving abilities and a proactive, autonomous work style
• High proficiency in English (B2+, written and spoken)

Nice to Have

• Familiarity with MMPs like Appsflyer and Adjust
• Knowledge of CPA, CPI, and CPE campaign models
• Experience in the rewarded-advertising space

What We Offer

• An opportunity to learn and increase knowledge in the performance marketing sphere
• Cross-team collaboration
• A fast-paced environment where ideas turn into real impact quickly
• Full-time & fully remote position
• 15 days of paid vacation days
• 5 days of paid days off
• 5 days of paid sick leave
• Maternity/Paternity leave
• National holidays based on the country of your stay