Jobs at Djinni

Project description

Apiko is looking for a React Native developer to join the team working on a large-scale digital product.

The project is an international sports betting community platform offering real odds from online bookmakers and comprehensive coverage of sports events worldwide. It provides pre-match, live, and post-match coverage, including odds comparison, advanced statistics, live scores, team line-ups, video highlights, and sports news.

Users can make sports picks for fun using real odds, participate in free con

Requirements to candidate

• 3+ years of experience
• Good knowledge of React-Native, Expo, Mobx, Typescript, Unistyles, React-Navigation;
• English: B1 or higher.

Company & benefits description

• Work in a progressive and fast-growing international team with democratic management;
• Smooth onboarding process;
• Competitive salary & regular performance reviews;
• Official long-term employment;
• Healthcare compensation;
• All the necessary equipment provided or additional compensation for your own equipment usage;
• Complete tax compensation & assistance of a personal accountant;
• Comfortable office in the city center in Ternopil or remote work;
• Opportunity to grow professionally and develop your skills.

About Us
We are a fast-growing and leading company in the AI Voice space for the iGaming industry. We replace inefficient manual processes with scalable, reliable, and high-performance AI technology. Our solutions are already used by 20+ brands across 8+ geographies. We are well-funded, ambitious, and building a team of top professionals.

We’re looking for a Backend Developer to build and maintain reliable backend services and integrations. You’ll work with TypeScript services, REST APIs, and cloud infrastructure, and help us deliver features through clean architecture, automated tests, and robust CI/CD pipelines.

Responsibilities

• Design, build, and maintain backend services using TypeScript
• Develop and document REST APIs and handle API integrations with external systems
• Work with MongoDB: data modeling, performance optimization, and query tuning
• Containerize and run services using Docker
• Improve reliability and delivery speed via CI/CD, version control best practices, and code reviews
• Apply OOP principles and maintain clean, scalable architecture
• Write and maintain automated tests (unit/integration) and ensure quality gates
• Deploy and operate services on AWS (e.g., EC2, S3, Lambda) and monitor production stability
• Implement and support workflow orchestration using Temporal or a similar workflow engine

Requirements (Must-have) 

• Strong experience with TypeScript
• Experience with Node.js
• Hands-on experience with MongoDB
• Confident with Docker
• Good knowledge of Git/GitHub and modern development workflows
• Experience with CI/CD pipelines
• Solid understanding of OOP and clean code practices
• Practical experience with automated testing
• Experience with REST APIs and third-party API integration
• Exposure to AWS services: EC2, S3, Lambda
• Experience with Temporal or a comparable workflow/orchestration engine
• Nice to have
• Python experience
• Experience with Retool (internal tools / dashboards)

What we offer 

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

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

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

Vacancy: Facebook Ads Account Manager

Work format: Remote
Schedule: 10:00 – 19:00 (+3), Mon–Fri

Compensation: Fixed salary + bonuses based on client spend

Responsibilities:

• Onboarding new clients and setting up advertising accounts.
• Issuing Business Managers, ad accounts, and payment profiles according to client vertical and spend.
• Prompt replacement of accounts/ad accounts in case of bans or restrictions.
• Ensuring correct operation of BM, ad accounts, and payment profiles.
• Monitoring account limits and setup stability.
• Tracking bans and restrictions (account restricted, ad account disabled, BM restriction).
• Handling client requests related to running campaigns.
• Resolving typical Facebook Ads issues (bans, payment risk/disabled, ad account disabled, etc.).
• Monitoring proper use of advertising accounts.
• Maintaining reports on issued accounts.

Requirements:

• Deep understanding of Facebook Ads infrastructure.
• Knowledge of common bans and restrictions on Facebook.
• Experience working with different types of ad accounts.
• Practical experience with Facebook traffic in the last 6 months.
• Experience with gray verticals is a plus.
• Understanding campaign launch logic and ad bundle structures.
• At least 6 months of experience in account management, support, or affiliate/arbitrage teams.

Conditions:

• Fully remote work.
• Stable fixed salary + bonuses based on client spend.
• Work in an established agency with structured processes.
• Comfortable schedule: 10:00 – 19:00 (+3), Mon–Fri.

Key Responsibilities 

• Strategic Outbound: Identify and target Mid-Market organizations in asset-intensive industries using a multi-channel approach and book meetings that convert into pipeline 
• AI-Powered Account Research: Leverage GenAI tools to conduct deep-dive research, summarize complex account hierarchies, and generate hyper-personalized insights that cut through the noise. 
• Discovery & Initial Demos: Lead initial discovery calls and deliver compelling "first-look" demos that connect COGEP’s value to specific client pain points. 
• Creative Prospecting: Use a resourceful mix of video messaging, social selling, and tailored content to engage stakeholders who are traditionally hard to reach. 
• Business Challenge Identification: Uncover real operational and maintenance challenges through effective questioning and active listening. 
• Market Intelligence & CRM Discipline: Share frontline market feedback, track engagement insights, and maintain accurate, up-to-date CRM records. 

Qualifications 

• Experience: 2–3 years in B2B SaaS sales. 
• Language: Fluency in English is mandatory. Professional proficiency in French is a strong asset. 
• Experience using CRM systems (Salesforce preferred) and sales engagement tools 
• Mindset: Highly resourceful with a "figure-it-out" attitude. You see a "no" as a puzzle to be solved, not a wall. 
• Agility: You thrive in a remote, fast-paced setting where processes evolve quickly as we scale. 

We offer

• Great office location 3 minutes from Pecherska metro station and great office conditions;
• Comfortable working place;
• Medical insurance after the trial period ending;
• Team-building activities;
• 24 paid vacation days per year;
• 5 paid sick leave days per year.

We are looking for a motivated Junior SERM Specialist with an SEO background to help manage and protect our brand’s online reputation. You’ll be responsible for monitoring search results, suppressing negative content, and promoting positive narratives through data-driven SEO strategies.

We are looking for candidates located in the European time zone (CET ±1) to ensure smooth collaboration.

What we expect:

• 1+ years of hands-on experience in SEO & SERM.
• 1+ years of experience with Google Ads
• Upper-Intermediate to Advanced English (written and spoken), fluent Ukrainian or Russian.
• Foundational knowledge of on-page and off-page SEO and how it applies to reputation management.
• Experience with SEO tools such as Google Search Console, Ahrefs, or SEMrush.
• Ability to analyze SERPs and identify competitor strategies.
• Understanding of PPC (Google Ads) to identify and mitigate unwanted or infringing advertisements.
• Understanding of Brand Protection processes: filing complaints for Trademark violations, Copyright infringement (DMCA), and phishing.
• Technical ability to identify hosting providers and domain registrars to send official Abuse Reports.

Key responsibilities:

• Track brand mentions and monitor changes in search engine results.
• File complaints in Google Ads against competitors for trademark infringement or unfair advertising.
• Submit reports for Trademark/Copyright violations and phishing to hosting providers and registrars.
• Execute strategies to displace negative search results with positive brand content.
• Coordinate with webmasters and platforms to remove or update misleading information.
• Prepare regular reports on reputation KPIs and the effectiveness of brand protection efforts.

Medier is looking for a detail-oriented and proactive specialist to join our CRM  team. It's the perfect position to start your CRM career. 

Location: Poland (Relocation supported)

Responsibilities:

• Technical setup and execution of CRM campaigns within internal systems.
• Working with Google Docs and Sheets to organize and track project data.
• Carefully review all task details and components before execution to ensure accuracy.
• Identifying errors, inconsistencies, and collaborating with managers to resolve issues quickly.

• Reviewing translations, spotting mistakes, and refining final copy to ensure high quality.

   

Requirements:

• English level B1 or higher
• Clear and proactive communication skills
• Strong attention to detail and analytical mindset
• Ability to manage multiple tasks efficiently
• Confident user of Google Workspace tools

Department: Design Team
 

You will be responsible for producing high-quality video content across the business, including planning, filming and editing engaging videos for YouTube and our social media channels.

This role involves working closely with the marketing and design teams to create content that showcases our products, supports marketing campaigns and helps customers better understand the tools we sell.

You will take ownership of the entire video production process — from planning and preparing shoots to setting up the studio environment, filming and editing the final content.

You will be expected to edit video in Adobe Premiere Pro and create motion graphics using Adobe After Effects.

Key Responsibilities

• Plan and organise video content, including preparing shot ideas, scripts and key product highlights
• Film product demonstrations, promotional videos and social media content
• Create short-form video content for YouTube Shorts, Instagram, TikTok and other platforms
• Capture clear product explanations and feature demonstrations
• Edit video content using Adobe Premiere Pro
• Create motion graphics and video enhancements in Adobe After Effects
• Ensure visual consistency and brand quality across all video content
• Organise and manage video files and media assets efficiently
• Work closely with the marketing and design team to support campaigns and product launches

What We're Looking For

• Experience in videography and video production (portfolio required)
• Confident using DSLR or mirrorless cameras for video recording
• Experience with studio lighting for video production
• Ability to plan and execute video shoots independently
• Strong experience editing video using Adobe Premiere Pro
• Good knowledge of Adobe After Effects for motion graphics
• Familiarity with AI tools for video production, editing, captions or content planning
• Strong attention to detail and visual quality
• Ability to manage multiple projects and meet deadlines
• Good organisational skills and a structured workflow

Bonus Points

• Experience creating content for YouTube, Instagram, TikTok or other social media platforms
• Experience filming product demonstrations or commercial content
• Experience using AI tools for video editing, automation, or content generation
• Interest in tools, DIY or product demonstration content

Gamzix is a dynamic player in the iGaming industry:
 

— Founded in March 2020 with a vision to redefine the world of online slot games
— Successfully delivered 60+ slot games
— The team has grown to 140 professionals and continues scaling
— Our main hub is located in Warsaw, in the heart of Europe
— We hold the MGA B2B Critical Supply License and certifications from iTechLabs and GLI
 

As part of our strategic growth, we are partnering with a dedicated product team AviaJet, focused on building a new generation of instant and crash games for the iGaming market.
 

We are looking for a Product Manager who will play a key role in developing new game concepts and leading the full lifecycle of instant games — from idea and market research to launch and product performance analysis.
 

This role is part of a dedicated product initiative developed in partnership with Gamzix, and the selected candidate will work closely with the AviaJet product team.
 

Responsibilities

— Conduct competitor research and analyze the instant / crash games market
— Generate and validate product hypotheses for new game mechanics
— Design and shape game concepts and gameplay mechanics
— Identify and research new game mechanics and player engagement patterns
— Prepare detailed product specifications and technical documentation
— Work closely with designers, developers, and other specialists to bring the game concept to life
— Manage the full product lifecycle from concept and specification to release
— Ensure smooth delivery of the product to production
— Analyze product performance after release and measure the success of game mechanics
— Continuously improve product features based on data and player behavior
 

Requirements

— 3–5 years of experience as Product Manager, Game Product Manager, or similar role
— Experience in iGaming or GameDev industry
— Strong understanding of product metrics and product lifecycle
— Hands-on experience with:

• product hypotheses validation
• A/B testing
• UX optimization

— Strong product mindset and ability to take ownership of the product from idea to release
— Ability to work independently and collaborate with cross-functional teams
 

Will be a plus

— Experience working with crash or instant games
— Experience designing game mechanics
— Background in data-driven product development
 

What we offer

— Competitive market-level compensation in the iGaming industry
— Fully remote format
— Opportunity to build new game products from scratch
— Direct collaboration with product stakeholders and decision-makers
— Fast decision-making and startup-like environment
— A chance to influence the future portfolio of instant and crash games
 

Please note that feedback on your application will be provided within two weeks if a positive decision is made regarding your candidacy.
 

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