Jobs at Djinni

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

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

Key Responsibilities

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

Skills & Experience

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

What We Offer

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

Role scope and screening requirements (please read first):
 

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

Company overview:
 

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

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

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

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

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

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

Position Overview:
 

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

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

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

Key Responsibilities:
 

Account Executive responsibilities

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

Project Manager responsibilities (rollout + pilot ownership)

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

Preferred Qualifications:

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

What we offer:

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

Company Operating Requirements:

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

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

Application requirement: short intro video (required):

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

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

Final note:
 

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

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

Screening requirements (please read first):

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

Company overview:
 

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

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

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

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

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

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

Position Overview:

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

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

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

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

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

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

What You Will Do:

Backend & Systems

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

Data & Machine Learning

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

Architecture & Product Thinking

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

Required Qualifications:

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

Nice to Have:

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

Why This Role Is Special:

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

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

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

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

What we offer:

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

Company Operating Requirements:

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

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

Application requirement: short intro video (required):

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

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

Final note:

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

Screening requirements (please read first):

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

Company overview:
 

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

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

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

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

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

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

Position Overview:

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

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

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

Key Responsibilities:

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

Preferred Qualifications:

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

What we offer:

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

Company Operating Requirements:

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

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

Application requirement: short intro video (required):

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

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

Final note:

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

Screening requirements (please read first):

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

Company overview:
 

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

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

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

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

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

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

Position Overview:

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

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

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

Key Responsibilities:

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

Preferred Qualifications:

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

What we offer:

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

Company Operating Requirements:

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

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

Application requirement: short intro video (required):

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

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

Final note:

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

Drive finance ERP solutions for complex, high-load digital products

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re looking for an experienced Business Analyst (ERP Finance) to support and develop finance-related ERP workflows within complex, high-volume transactional environments.

In this role, you will work closely with finance, operations, payments, and product teams, translating business needs into clear functional requirements and supporting the development of effective ERP solutions.

Your key responsibilities will include:

• Gather, document, and validate business requirements from stakeholders across finance, operations, payments, and product teams.
• Be responsible for end-to-end financial workflows for high-load transactional products, including operations and finance analytics and reporting.
• Define functional specifications for the Finance ERP system.
• Collaborate with developers, architects, and system integrators to shape requirements, data models, and diagrams.
• Lead stakeholder sessions to map business processes and identify system needs.
• Document system behavior, workflows, data dictionaries, and training materials for ERP end users.
• Stay informed of regulatory, tax, and operational changes that impact financial systems.
  
   

It’s a match if you have:

• Bachelor’s degree in Finance, Accounting, Information Systems, or a related field.
• 3+ years of experience as a Business Analyst with a focus on ERP or finance systems.
• Experience working with high-volume transactional systems.
• Strong understanding of financial controls, reconciliation processes, and compliance.
• Experience designing or working with ERP systems (custom or commercial).
• Familiarity with Agile/Scrum environments and software product life cycles.
• Upper-Intermediate level of English (written and spoken).
  
   

What we offer:

• Flexible schedule and remote format or offices in Warsaw/Kyiv — you choose.
• 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress).
• A supportive, friendly team where knowledge-sharing is part of the culture.
• Coverage for professional events and learning.
• Birthday greetings, team buildings, and warm human connection beyond work.
• Zero joules of energy to the aggressor state, its affiliated businesses, or partners.
  
   

Send over your CV now — we’d love to get to know you better!

Inception-1 is a product company that creates AI-driven B2C products designed to help people feel more connected and less alone. Our mission is to build meaningful digital experiences that blend technology with empathy — and to prove that technology can be both human and transformative.

We are looking for a creative and technically skilled AI Content Maker to join our team. In this role, you will use generative AI tools to create visual content and help automate content production pipelines. You will work with modern AI technologies to generate images and videos, maintain character consistency, and support both product and marketing needs.

Responsibilities
 

• Create NSFW visual content (images and video) for the platform using ComfyUI
• Build and maintain ComfyUI generation pipelines
• Work with LoRA models and set up generation workflows
• Maintain high quality and visual consistency of characters
• Generate content in both realistic and anime styles
• Create visual assets for platform content, marketing materials, social media, and landing pages
• Support automation of content generation pipelines
• Integrate and work with AI APIs (LLMs, image and video generation tools)
• Rapidly produce content for campaigns and platform needs
• Collaborate closely with product, marketing, and engineering teams

Requirements
 

• Strong ComfyUI skills
• Experience with Stable Diffusion and AI video generation models
• Experience working with LoRA models
• Understanding of AI-based content generation pipelines
• Understanding of NSFW content production specifics
• Ability to rapidly prototype and iterate on creative ideas
• Familiarity with open-source AI tools and workflows
• Portfolio or examples of previous work
• Willingness to complete a test assignment

Nice to Have
 

• Experience integrating LLM APIs
• Experience building automated AI workflows
• Understanding of AI agents or multimodal pipelines
• Knowledge of marketing funnels and content performance

What we offer
 

• Remote work or comfortable offices in Kyiv (Podil)
• Flexible working hours
• Medical insurance (after probation) and online doctor services
• 20 paid vacation days, unlimited sick leave
• Equipment, learning budget, internal lectures
• Sports activities and gym discounts

Who we are:

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

About the Product:

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

About the Role:

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

Key Responsibilities:

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

Required Competence and Skills:

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

Nice to Have:

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

Why Us:

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

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

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

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

Project overview

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

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

Requirements

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

Nice to have

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

Responsibilities

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

We offer

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

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

Ідеально для тих, хто прагне:

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

Досвід, який стане твоєю перевагою:

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

Ми цінуємо:

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

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

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

English version:

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

Perfect for those who aim to:

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

Experience you’ll need to bring:

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

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

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

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

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

Apply, and let your growth journey begin.

We are looking for a proactive and detail-oriented Sourcer to join our Recruitment team. You will be responsible for identifying and engaging top talent across game development disciplines — from artists and animators to engineers and designers — fueling the growth of a globally recognized studio.
 

What You'll Do

• Proactively search for and identify qualified candidates through LinkedIn, job boards, GitHub, ArtStation, Behance, and other relevant platforms
• Build and maintain talent pipelines for current and future hiring needs across technical, creative, and non-technical roles
• Craft personalized outreach messages that generate strong response rates from passive candidates
• Screen candidates at the initial stage and hand off qualified profiles to the Recruitment team
• Collaborate closely with recruiters and hiring managers to align on requirements and ideal candidate profiles
• Maintain accurate and up-to-date candidate records in ATS/tracking systems
• Research market trends and talent availability to advise on sourcing strategies
• Contribute to employer branding initiatives through targeted outreach and community engagement
   

What We're Looking For

• 1+ year of experience in sourcing or recruiting (IT, gaming, or creative industries preferred)
• Strong knowledge of Boolean search, LinkedIn Recruiter, and other sourcing tools
• Ability to quickly grasp technical and creative job requirements
• Attention to detail, persistence, and a proactive mindset
• Experience working with ATS systems is a plus
• Genuine interest in the game development industry is a big advantage
   

We Offer

• Competitive salary with a transparent bonus/commission structure tied to results
• Fully remote work with a flexible schedule
• Supportive and growth-oriented team environment without excessive bureaucracy
• Regular performance and salary reviews
• 18 working days of paid vacation + 10 sick days
• Opportunity to attend industry events (online and offline) and grow your professional network
• Career growth opportunities within a scaling international studio

🚀 About the Project

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

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

Engagement model: Long-term outstaff collaboration

Your Responsibilities:

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

Required Skills & Experience:

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

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

   

 Nice to Have:

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

• Understanding of distributed systems and performance optimization

   

👉 What we offer:

📈 Professional Growth opportunities:

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

🎁 Benefits program

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

😌 Comfortable Working conditions

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

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.

Project description

We’re looking for a Video Content Creator to turn complex product functionality into clear, structured tutorials and marketing videos.

You’ll focus primarily on creating video tutorials that explain how Coupler.io works and manage the video production process from script to final delivery. Beyond tutorials, you’ll lead the creation of short marketing videos and will work closely with marketing and product teams

WHAT IS YOUT IMPACT? 💡

You’ll create content that helps people understand how Coupler.io works before they ever need support. Your scripts and screencasts, packaged into clear and practical video tutorials, will show real workflows in Coupler.io and make complex features easy to understand and follow. You’ll also help produce short marketing videos for the website and paid campaigns to turn key messages into concise videos that clearly communicate the value of the product. If that inspires you, apply now! Please don’t forget to include your portfolio when submitting your application!

Required skills

🔹 Solid understanding of video production processes across all stages
🔹 Ability to manage the video production workflow
🔹 Hands-on experience with video tutorials/screencasts
🔹 Experience in short marketing video content creation
🔹 Strong research skills
🔹 Basic experience with video editing tools
🔹 Fluent English (written and spoken)
🔹 Experience collaborating with external vendors to manage content production
🔹 Proactive attitude
🔹 Strong communication and organizational skills
🔹 Ability to independently learn and navigate software products
🔹 Experience working in Figma or similar design tools

As a plus

🔹Hands-on familiarity with data analytics tools (Tableau, Looker Studio, Power BI)
🔹Experience with Google Analytics (GA4) and using data insights to optimize content

We offer

🌎 Full-remote from any location or in one of our offices (Kyiv/Krakow/Warsaw) bit.ly/rw-remotecollab
💸 Competitive compensation, access to savings program, and deposit policy
💻 Thanks to our hardware policy, we use the best equipment and can regularly update it
🌴 34 days a year as paid time off (24 standard days + 10 more to cover public holidays)
🏋🏼 Health policy budget that will cover your private sports and healthcare expenses
🎤 Participate in our online and offline events
⌨️ Our offices are equipped with modern ergonomic chairs and standing desks
🍪 You can always find fresh food and drinks in our kitchen
🤝 In Ukraine, we collaborate through Diia.City
🤩 More about our benefits and how we work 🔗 Railsware Handbook: railsware.com/handbook

Responsibilities

🔸 Record high-quality screencasts that show how Coupler.io works through real features, flows, and use cases.
🔸 Set up imports, automations, and scenarios independently to demonstrate real-life workflows on screen.
🔸 Write detailed scripts and storyboards that define the narrative, structure, and every on-screen step.
🔸 Manage the video production backlog from initial idea to final delivery, keeping work organized and moving.
🔸 Deliver short marketing videos for the website or paid campaigns, based on materials and messaging provided by the team.
🔸 Work closely with marketers and product managers to align on video goals, scope, and requirements.
🔸 Prepare clear production packages for editors, motion designers, and voiceover artists so everyone knows what to do.
🔸 Check freelancer deliverables, give actionable feedback, request revisions, and ensure quality at every stage.
🔸 Make sure every video is correct, well-structured, and aligned with Coupler.io’s brand and product reality.
🔸 Contribute to social media content planning, identifying opportunities where video can improve distribution, engagement, and content reach.