Jobs

An international performance marketing company is looking for a Senior Google Ads Specialist to lead and scale its paid search activities. This role involves strategic ownership of the Google Ads channel, campaign optimisation, and mentoring junior team members.

Responsibilities:

• Take full ownership of the Google Ads channel and align strategy with business goals
• Plan, launch, and optimise high-impact Search campaigns, as well as cross-channel campaigns (Display, Shopping, Performance Max, YouTube, Remarketing)
• Design scalable campaign structures, bidding strategies, and targeting models
• Analyse performance data to optimise budgets and improve ROI
• Conduct in-depth audits and provide strategic recommendations
• Mentor junior specialists and ensure best practices across campaigns
• Lead A/B testing initiatives across creatives, landing pages, and structures
• Collaborate with leadership and cross-functional teams
• Stay updated on platform changes, trends, and innovations

• Resolve complex tracking, compliance, and delivery issues

   

Requirements:

• 5+ years of hands-on experience managing Google Ads in performance-driven environments
• Strong expertise in advanced campaign structures, bidding strategies, and multi-channel planning
• Experience with automation tools (Ads Scripts, API workflows, Ads Editor)
• Deep understanding of tracking, measurement, attribution models, Google Analytics 4, and Google Tag Manager
• Proven experience managing substantial advertising budgets
• Previous mentoring or leadership experience
• Strong analytical skills with advanced Excel/Google Sheets proficiency
• Experience with analytics/reporting tools (e.g., SQL, Tableau, Looker) is a plus
• Familiarity with PPC/SEO tools such as SEMrush, Ahrefs, and Similarweb
• Solid understanding of CRO, user behaviour, and landing page optimisation

• Strong communication skills and fluent English (additional languages are a plus)

   

Benefits:

• Competitive fixed monthly salary
• Performance-based bonus scheme
• Monday–Friday schedule (9:00–17:00) with flexible start and finish times
• Up to 25 days of annual leave plus 5 sick days
• Access to industry conferences and learning resources
• Supportive environment with clear career growth opportunities
• Support with obtaining a work visa in Cyprus if required

An international performance marketing company is seeking a Senior Programmatic Media Buyer (RTB) to lead high-budget campaigns and contribute to the development of its programmatic strategy. This role requires strong technical expertise, strategic thinking, and the ability to mentor junior team members.

Responsibilities:

• Plan, launch, and optimise large-scale RTB/programmatic campaigns across multiple ad networks
• Manage various ad formats including Banner, Native, Pre-roll, Push, and Pop-under
• Develop advanced bidding strategies, audience segmentation frameworks, and scaling approaches
• Perform daily optimisation to maximise ROI and long-term growth
• Conduct in-depth performance analysis to identify trends and new opportunities
• Forecast results, manage pacing, and scale budgets effectively
• Support tracking architecture and advanced measurement setups, including Google Analytics 4, postback URLs, custom events, and attribution models
• Mentor junior buyers and provide guidance on best practices
• Collaborate with creative teams to develop data-driven testing strategies
• Present insights and strategic recommendations to leadership

• Identify opportunities for automation and workflow improvements

   

Requirements:

• 5+ years of hands-on experience in programmatic media buying (RTB)
• Strong experience working with multiple major ad networks and diverse ad formats
• Proven track record managing large budgets and delivering strong ROI on CPC/CPM campaigns
• Deep understanding of RTB auction dynamics, bidding logic, audience segmentation, and multi-channel environments
• Experience with complex tracking setups (postbacks, server-to-server tracking, attribution analytics)
• Strong analytical skills with advanced Excel/Google Sheets proficiency
• Experience with reporting tools such as Tableau and Microsoft Power BI is a plus
• Experience with SQL, BigQuery, or similar tools is a strong advantage
• Excellent communication and presentation skills
• Strong organisational skills with the ability to manage multiple projects
• English proficiency at B2 level or higher

What’s Offered:

• Monday–Friday schedule (9:00–17:00) with flexible start and finish times
• Remote work 
• Up to 25 days of annual leave plus 5 sick days
• Provident Fund scheme
• Access to industry conferences and learning resources
• Supportive environment with clear career growth opportunities
• If you are currently living in Cyprus, we will arrange a work visa for you.

We are a rapidly growing company. Our mission is to strengthen Ukraine's defense capabilities by creating modern FPV drones for the security and defense sector. We are looking for a developer in the R&D department.
 

We expect:
-Experience working with various FPV drones and components.
-Ability to diagnose and solve technical problems of UAVs.
-Ability to clearly formulate feedback based on tests and work in a team.
-Experience with electronics and measurement equipment.
Will be a plus:
-Experience with soldering SMD components and measuring devices (multimeter, etc.).
-Engineering education.
-Ability to pilot FPV drones.
-Ability to use CAD to create drawings and 3D models.
-Independence, engineering thinking, attention to detail.
 

We offer:
-Reserving from mobilization.
-Flexible work schedule.
-Comfortable office without power outages.
-Opportunity to grow within the company.
-An atmosphere where new ideas and a bold approach to innovation are valued.

About the Project

We are developing an international online platform in the iGaming and entertainment industry, currently actively scaling in the Turkish market.

The project is in a rapid growth phase — the number of users and chats is increasing, and the support team is expanding.

We are looking for a Customer Support Team Lead who will manage the chat support team, build efficient processes, and ensure a high level of service for the Turkish GEO.

Your Responsibilities

Team Management

• Lead a team of Customer Support Operators (chat support).
• Create schedules, monitor attendance, and distribute workload.
• Onboard, train, and provide regular coaching to operators.
• Maintain team motivation and a healthy working atmosphere.

Quality & KPI

• Monitor and improve KPIs (CSAT, response time, FCR, quality).
• Review chats and provide structured feedback to operators.
• Work with mistakes and help develop operators’ soft skills.
• Collaborate with the QA team and participate in improving quality standards.

Operations & Escalations

• Handle escalations related to payments, verification, bonuses, and technical issues.
• Communicate with Payments, Product, Tech, and other teams.
• Optimize scripts, macros, and internal support processes.
• Participate in hiring operators for the Turkish market.

What We Expect From You

• Turkish — fluent (spoken and written) — mandatory.
• English — confident level for internal communication.
• 2+ years of experience as a Team Lead / Supervisor in support, call center, or chat support.
• Understanding of support KPIs and metrics.
• Experience in iGaming / betting / online entertainment is a strong plus.
• Strong people management skills: coaching, feedback, conflict resolution.
• Willingness to work evening and night shifts aligned with Turkish time.
• Experience managing a remote team is a plus.

Support Team Lead / Supervisor experience — highly relevant.

iGaming / betting support experience — a strong advantage.

What We Offer

• Fully remote position — work from anywhere.
• Schedule: 5/2, shifts aligned with the Turkish time zone.
• Evening and night shifts.
• Paid onboarding and support during the adaptation period.
• Direct collaboration with Product, Payments, and QA teams.
• Opportunity to build and scale a team for a key market.
• Long-term cooperation and growth opportunities within the project.

Customer Support Specialist (Turkish Market)

About the Project

We are developing an international online platform in the iGaming and entertainment industry, currently actively scaling in the Turkish market.

The project is in a rapid growth phase — the number of users and chats is increasing, and the support team is expanding.

We are looking for a Customer Support Specialist to communicate with users via online chat and help maintain a high level of service for the Turkish GEO.

Your Responsibilities

Customer Support

• Respond to user inquiries via online chat.
• Assist players with account issues, payments, verification, bonuses, and technical questions.
• Provide clear and professional communication with users.
• Follow internal support guidelines and scripts.

Quality & Service

• Maintain a high level of customer satisfaction (CSAT).
• Resolve issues quickly and efficiently.
• Escalate complex cases to Team Leads or other departments when necessary.

Operations

• Accurately document user requests and actions in the system.
• Work with internal tools, macros, and knowledge base.
• Collaborate with Payments, Product, and Technical teams when needed.

What We Expect From You

• Turkish — fluent (spoken and written) — mandatory.
• English — conversational level for internal communication.
• Experience in customer support, call center, or chat support is a plus.
• Strong communication skills and customer-oriented mindset.
• Ability to handle multiple chats simultaneously.
• Stress resistance and ability to work in a fast-paced environment.
• Experience in iGaming / betting / online entertainment is a strong advantage.

Working Conditions

• Fully remote position — work from anywhere.
• Schedule: 2/2 (day and night shifts) aligned with the Turkish time zone.
• Paid onboarding and training.
• Support from Team Leads and QA team during adaptation.
• Opportunity to grow within a fast-scaling international project

Hello!

If technical process organization is your strong side, we should talk ;)

The group of companies MK:group, consisting of the translation company MK:translations and the business localization company Localica.io, is actively integrating AI and LLM technologies into the production of language services to scale the quality, speed, and efficiency of translation and to expand the range of services.

In this regard, we are opening a full-time position for an LLM & AI Engineer who will help build and improve the AI infrastructure for the next generation of localization solutions.

Key Responsibilities

• Research and implement AI/LLM solutions to automate translation and localization processes

• Deploy and optimize open-source LLM and NLP models

• Fine-tune models for specific language pairs, domains, and content types

• Develop AI pipelines for translation, post-editing, and quality evaluation

• Build systems based on LLMs, RAG, and embedding models for working with multilingual content

• Experiment with new open-source AI tools and adapt them to business needs

We are looking for a candidate with

• Experience working with Python and AI/ML tools

• Understanding of LLM architectures, NLP, or machine translation

• Experience working with open-source models (Llama, Mistral, etc.)

• Experience with GPU, inference, and model deployment

• Skills working with vector databases / embeddings / RAG – will be an advantage

• Experience working with Microsoft 365 Copilot / Copilot

• Ability to independently research new technologies and quickly prototype solutions

+++ Will be a plus if you have

• Experience with machine translation or localization tools

• Experience with Hugging Face, LangChain, LlamaIndex

• Experience with model fine-tuning or working with LoRA/PEFT

• Experience with multilingual or cross-lingual NLP

We offer

• Flexible working hours

• Work with modern AI technologies in the language technology field

• Opportunity to build AI solutions from scratch in a production environment

• Work in a stable but dynamic company with international clients

• The opportunity to influence the creation of a new generation of localization products

This role requires at least 2 years of experience with GenAI, not experimental use.

About SageBridge

SageBridge is an early-stage, rapidly moving startup building an AI-powered digital assistant to help seniors stay organized and empower families caring for aging loved ones. We’re starting with core needs: tracking appointments, medications, symptoms, and essential information in one place.  We’re well into UX/UI design and are eager to find a Full-Stack Developer to join our team and help bring contemporary technology to the people who can most benefit from it — older adults and their families.
 

Founded by a former Salesforce exec and caregiver — with prior experience at HP and Nokia — we are moving fast toward a working MVP and already have a strong roadmap for post-MVP development.

Find more information about us at OurSageBridge.com
 

Led by the Seniors. Supported by Family. Enabled by AI.
 

Responsibilities

Core Modules

• Implement calendar, medication tracking, symptom tracking, and secure contacts.
• Build onboarding flow for first-time users.
• Support role-specific views for family supporters vs. seniors.
• Implement multi-user collaboration features: shared messages and task delegation.
• Implement file-based modules: After Visit Summary, Test Results, Doctor’s Orders (upload, storage, retrieval).

AI Integrations

• Integrate voice (Speech-to-Text) and OCR.
• Provide API endpoints and data models with support for AI integration.
• Ensure accuracy, formatting, storage, and error handling for AI generated inputs.
• Support integration of vector databases for semantic search and structured memory.

Data and APIs

• Design database schemas and backend services with role-based access control and audit logging.
• Implement notification system (reminders via email, push, or SMS) and extend to handle recurring reminders (e.g., hydration).

Infrastructure

• Build and deploy application stack (e.g., Vercel + Fly.io/Render/Cloud Run).
• Set up monitoring, error logging, analytics, and CI/CD pipeline (e.g., GitHub Actions).
• Write and maintain automated tests (unit + integration).
• Follow security practices (encryption in transit/at rest, secrets management).

Requirements

• Proficiency with one or more of the AI agent coding tools
• Prior experience building and shipping an MVP (frontend + backend + deployment).
• Proficiency in React/Next.js, Python (FastAPI/Flask) or Node.js, and database development
• Experience integrating third-party APIs.
• Ability to design database schemas and backend services extensible to AI-driven features.
• We are looking for 4+ years of experience
• Strong English communication (B level or above).

Bonus Skills

• Experience integrating or collaborating on AI features (e.g., Whisper/STT, LangChain, or vector databases)
• Accessibility standards (ADA/WCAG)
• Health tech or personal caregiving experience

• React Native (mobile app to follow)

   

Logistics

• Contract / freelance
• We’re open to both full-time and part-time candidates.
  Full-time preference will be given to developers with experience integrating AI functionality or working alongside an AI architect.
• The wide salary range reflects flexibility for part-time or full-time arrangements and the candidate’s skill set.
• Remote
• Report directly to the founder (no PM layer)

Hiring Senior SEO & AI Visibility Account Manager - Work with Global SaaS Clients

About Rankingonai.com

Rankingonai.com helps tech companies get found where buying decisions actually start: ChatGPT, Perplexity, Google AI Overviews, and LLM-powered search. 

We work with companies like Cal.com, Suno, and Akiflow (YC S19) to turn organic search and AI visibility into measurable revenue.

We're hiring a Senior Account Manager to take full ownership of client accounts, lead SEO/AEO strategy, and build the kind of relationships that turn projects into long-term partnerships.

The Role

You own a portfolio of tech clients from day one. Onboarding, strategy, execution, reporting, retention. You're the person your clients call when something matters, and the person internally who makes sure nothing falls through.

You'll work directly with marketing leaders at funded startups and scaling tech companies. You're accountable for the numbers: traffic, rankings, AI visibility, conversions. If something's not working, you figure out why and fix it.

Strategy & Delivery

• Own end-to-end SEO/AEO strategy for a portfolio of global tech clients
• Drive performance across both traditional search and AI-powered discovery
• Stay ahead of what's changing in LLM search and bring new approaches to clients before they ask
• Mentor junior team members and coordinate across content, outreach, and community specialists

Client Ownership

• Lead onboarding, early delivery, and the path from pilot to long-term retainer
• Run weekly or bi-weekly client syncs and own all day-to-day communication
• Make performance data meaningful: translate traffic, rankings, and AI visibility into business outcomes that stakeholders actually care about
• Spot problems early, remove blockers, and step in directly when execution needs leadership
• Proactively identify opportunities to grow accounts

Operations

• Work with ops to tighten workflows, improve reporting, and raise delivery quality

• Feed learnings from your accounts back into the team so everyone gets better

   

Requirements

• 5+ years in SEO and account management, ideally in an agency
• You've owned client relationships end-to-end and can point to accounts you grew or retained
• Deep understanding of on-page, technical, and content SEO, with working knowledge of AEO and GEO
• Comfortable managing multiple accounts at once without dropping quality
• Proficient with Ahrefs or equivalent
• You think in terms of business impact, not just keyword rankings
• Clear communicator who can make complex SEO strategies simple for non-technical stakeholders
• Self-directed. You don't need someone checking in on you every day.
• Experience working with SaaS or high-growth tech companies

Nice to Have

• Experience tracking or optimizing for LLM visibility
• Background in entity-based SEO
• Familiarity with Reddit marketing or community-driven growth strategies

What it's like here

You'll work on real accounts with real budgets, not spec work or internal projects. The clients are interesting, the problems are hard, and the team is sharp.

We're building the playbook for how companies show up in AI search. This space is moving fast and we're at the front of it. If you've been doing traditional SEO and want to be where the industry is headed, this is a good place to be.

You'll have direct access to leadership, real ownership of your work, and the autonomy to run your accounts the way you think is best. We hire people we trust and then let them do their job.

Compensation

• $2,000-3,500/month (based on experience) + annual performance-based bonus
• 100% remote. Work from anywhere.

Apply

Email tanya@rankingonai.com with subject line: "Account Manager" and your resume. 

Title: Executive Operations Associate (Remote)

Location: Ukraine or Europe - working for US Eastern Time Zone (ET)

Type: Contract

About Serve Freight

Serve Freight is a high-reliability logistics operator specializing in complex freight execution for mid-market shippers and project-driven industries. We manage transportation, warehousing, and value-added logistics programs for companies that cannot afford missed delivery windows, broken communication, or unreliable carriers. We are scaling fast in 2026 and building the operational infrastructure to support it. This role is part of that buildout.

The Role

We are hiring an Executive Operations Associate to serve as a direct operational support to our CEO. This is not a traditional Executive Assistant position. It is a hybrid role that combines structured administrative support with process ownership, cross-functional coordination, and limited autonomous decision-making.

You are the person who keeps the CEO out of the weeds so he can focus on the things only he can do. You manage the recurring operational rhythm, handle the tactical items that pile up, and make the small decisions that would otherwise sit in a queue waiting for approval.

60% of your time will be structured, recurring work. 40% will be ad hoc problem-solving and cross-functional coordination.

What You Will Do

Executive & Calendar Management

• Manage the CEO's calendar: scheduling, rescheduling, conflict resolution
• Triage and prioritize the CEO's inbox
• Coordinate travel logistics
• Prepare meeting agendas, pre-reads, and follow-up action items

Data, Dashboards & Financial Support

• Pull and format weekly operational dashboards from Turvo, QuickBooks, and HubSpot
• Run down accounts receivable discrepancies and flag issues
• Prepare financial summaries and talking points for leadership meetings
• Support the company's strategic advisor with slide deck preparation and data pulls

Process & SOP Ownership

• Draft and maintain internal SOPs for recurring operational processes
• Document workflows across departments as they are formalized
• Research and recommend operational tools within defined budget parameters
• Integrate approved tools into existing workflows

Operational Problem-Solving

• Investigate and resolve minor operational issues across departments before they reach the CEO
• Triage which priorities you can personally handle vs. what needs to be escalated
• Reschedule initiative timelines when circumstances change
• Coordinate with internal team members across operations, accounting, and brokerage

Decision-Making Authority

This role carries real decision-making responsibility within defined boundaries. You will not be waiting for approval on every task.

You will decide: which tools to investigate, which software to select within budget, how to reschedule internal timelines, how to triage and route requests, and how to resolve calendar conflicts.

You will escalate: any commitment to external parties, expenditures above threshold, changes to sales or pricing, and strategic or partnership decisions.

Who You Are

• 2-5 years in operations, executive support, or chief of staff-adjacent roles at a growing company (under 50 employees preferred)
• Comfortable wearing multiple hats and operating across departments
• Can make decisions without perfect information; does not freeze with ambiguous direction
• Strong written communicator: SOPs, slide decks, and emails without heavy editing
• Data-literate: can pull and present operational and financial data without being an analyst

Tools You Will Use

Turvo (TMS), QuickBooks Online, HubSpot (CRM), Google Workspace, Slack, Notion, Excel/Sheets. You do not need to be an expert in all of these on day one, but you should be comfortable learning quickly.

What Success Looks Like

At 30 days: The CEO has measurably more free time. Recurring tasks are transferred and running on schedule.

At 60 days: You are proactively resolving minor issues before they reach the CEO. You have recommended or implemented at least one process improvement.

At 90 days: The CEO feels like you are an extension of himself. Internal stakeholders engage with you directly. Minimal oversight needed.

What This Role Is Not

• Not a calendar-only EA role
• Not a system administrator or IT role
• Not a sales or business development role
• Not a strategic advisory role. You execute and support.

How to Apply

Send a short note (not a cover letter) to hello@servefreight.com with the subject line: Executive Operations Associate - [Your Name]

Answer these four questions:

• Tell us about a time you made a decision on behalf of an executive. What was the situation, what did you decide, and what happened?
• Describe a process you built or improved at a previous company. What was broken, what did you change, and what was the result?
• Give an example of a time you had to figure something out with almost no direction. How did you approach it?

No form letters. No AI-generated cover letters. We read every response.

About the Role

We’re looking for a Lead Generation Manager to fully own LinkedIn outbound lead generation and initial written communication with potential clients.

This is a highly systematic and routine-focused role, so we’re looking for someone with real hands-on LinkedIn outbound experience who feels comfortable working with repetitive processes and is strongly results-driven.

LinkedIn is the only primary channel for this role. There is a clear growth path to Sales Manager.

What You’ll Do

• Manage and grow LinkedIn accounts (personal and company)
• Create consistent activity: posts, comments, likes
• Run manual and semi-automated LinkedIn outreach
• Research leads and build structured lead databases
• Test and validate hypotheses (ICP, niches, messaging)
• Optimize profiles and outreach messages based on performance
• Maintain and update lead statuses and pipelines
• Work daily with:
  • LinkedIn Sales Navigator
  • Apollo
  • LinkedHelper

General Responsibilities

• Work with ICP (Ideal Customer Profile)
• Maintain CRM / spreadsheets
• Track basic metrics and outreach performance
• Prepare simple reports on outreach results
• Collaborate with tech and delivery teams to better understand service offerings

Requirements

• 1+ year of experience in IT lead generation / LinkedIn outbound
• Proven hands-on experience with LinkedIn outreach
• Confident use of:
  • LinkedIn Sales Navigator
  • Apollo
  • LinkedHelper (or similar tools)
• Understanding of B2B sales and sales funnel basics
• English level B2+ (written communication)
• Strong attention to detail, discipline, and structured thinking
• High tolerance for routine and repetitive outbound work

⚠️ Candidates without real LinkedIn outbound experience will not be considered.

Nice to Have

• Experience building LinkedIn outbound processes from scratch
• Understanding of software development (SaaS, Frontend/Backend)
• Experience with multiple automation tools
• Interest in growing into a Sales Manager role

What We Offer

• Work with international clients (US / EU)
• Clear KPIs and transparent performance evaluation
• Career growth to Sales Manager
• Low bureaucracy and fast decision-making
• Flexible working schedule
• Paid sick leave
• 17 working days of paid vacation
• Professional growth in IT sales and lead generation

About the Company

Sonicode is a SaaS-focused engineering company helping early and mid-stage SaaS products launch fast and scale safely without painful rewrites.

We work with international clients (US, EU) and build complex web platforms with clean architecture, billing and subscription systems, access control, integrations, and predictable delivery processes. We value structure, systems, and measurable results over activity imitation.

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.