Jobs at Djinni

About N5Deal
N5Deal is an international fintech and M&A platform helping banks, fintech companies, investors and entrepreneurs:
• discover and evaluate acquisition opportunities;
• buy and sell regulated businesses and financial licences;
• enter new markets and jurisdictions;
• launch new financial products;
• connect with relevant buyers, sellers and partners.

We work in a very specialized and relationship-driven market.

Our founders have hands-on fintech and M&A experience and an international network across banking, financial services, professional services and related industries.

The platform already generates real deal flow. We are now moving from an “early”-style organization to a more structured stage and want to build our internal people processes in the same way: practical, simple and connected to real business needs.

Main Responsibilities
• Work directly with founders and managers to understand hiring and people needs.
• Synchronize expectations between the business and employees.
• Search and select strong candidates for IT, fintech and business positions.
• Run initial interviews and evaluate candidates before involving the hiring manager.
• Build and maintain a pipeline of relevant candidates, not only search when a vacancy becomes urgent.
• Organize and improve basic HR processes: onboarding, probation, feedback, performance reviews and offboarding.
• Help managers deal with people-related questions and performance issues.
• Organize HR documentation and employee records.
• Identify what should be automated in HR processes and formulate requirements for internal tools or integrations where it makes sense.
• Support occasional team activities and offline team buildings.
Requirements
• 3+ years of experience in HR, Talent Acquisition or a similar role.
• Experience with modern sourcing and recruiting tools.
• Ability to independently search, approach and evaluate candidates.
• Strong communication skills.
• Ability to work directly with managers and understand the business need behind a hiring request.
• Good analytical skills and attention to detail.
• English - B2 or higher.
• Comfortable working in an environment where not every process is already defined.

Strong Plus
• Experience in product companies or startups.
• Experience with fintech or financial services.
• Experience working directly with founders.
• Experience building HR processes from scratch.
• Experience hiring both technical and business roles.

This Role Is Probably Not for You If
“I want to work in a structured process that almost never changes.”

N5Deal is still a live business moving from early startup to a more structured stage. Priorities can change together with the market. We expect people to understand what creates value for the business and adjust when needed.

“I can’t work without a clearly defined task.”
We do not expect HR to simply receive a vacancy description and execute it.
If something does not make sense, we expect you to ask questions, challenge it and help find a better solution.
For us, it is important that people think about business value, not only about completing assigned tasks.

What We Offer
• Monday–Friday, 9:00–18:00 European time.
• Remote work.
• Flexible working environment.
• International market and team.
• High level of autonomy.
• Direct access to founders and decision-makers.
• Real influence on how the company hires and works.
• Opportunity to build HR processes instead of only maintaining existing ones.

About the Business
N5Deal works at the intersection of fintech, regulation, technology and M&A. We work with founders, investors, financial institutions and companies entering or expanding in regulated financial markets.

Our main areas include:
• Fintech M&A marketplace - licensed companies available for acquisition across multiple jurisdictions.
• End-to-end deal support - from initial interest to due diligence, negotiation and closing.
• Regulatory and licensing support.
• Partner ecosystem around banking, payments, crypto infrastructure, core banking and technology.
• New internal products around data, outreach, automation and deal execution.

About the Project

DataImpulse is a global proxy services provider with over 147,000 customers worldwide. We offer residential, mobile, and datacenter proxies, with plans starting at $1/GB.

We are currently looking for a Senior Sales Manager to take ownership of the full B2B sales cycle — from lead qualification and initial outreach to negotiations, closing deals, and securing the first payment.

Responsibilities

• Handle and qualify inbound leads and establish initial contact.
• Manage the full sales cycle: conduct demos, provide technical consultations, negotiate commercial terms, and close deals through to the first payment.
• Work closely with Lead Generation: define the ICP and target segments, establish lead quality criteria, and provide feedback to improve lead generation.
• Participate in industry conferences and customer meetings.
• Maintain the CRM: manage the sales pipeline, provide forecasts, and track conversion rates at each stage.
• Share customer feedback with Product and Marketing teams, including customer needs, objections, reasons for churn or lost deals, and competitive advantages.
• Gradually build and optimize sales processes and, over time, build and lead your own sales team.

Requirements

• 3+ years of experience in B2B sales within SaaS, IaaS, infrastructure, or other technical products.
• C1+ English: fluent spoken English and confident communication in negotiations.
• Location: Europe or the US.
• Willingness to travel 4–6 times per year for conferences and customer meetings. A valid passport and the ability to travel internationally are required.
• Willingness to dive deep into the technical side of the product and understand how proxies work, their key use cases, and related technologies.
• Hands-on experience using AI in your work, including call preparation, communication personalization, call analysis, and CRM workflows. You should be ready to demonstrate specific examples and measurable results.
• Experience working with HubSpot.
• Independence and the ability to work without an established team or predefined processes.
• Strong initiative and ownership: you identify opportunities for improvement and independently drive them forward.
• Strong negotiation and closing skills, including the ability to re-engage and revive “stalled” conversations.
• A structured approach to managing multiple deals simultaneously, with strong attention to detail across CRM records, contracts, commercial terms, and communication.
• Ability to build and maintain long-term customer relationships.

Nice to Have

• Experience in the proxy, web scraping, or data collection industry.
• Experience selling to technical decision-makers.
• Team Lead or mentoring experience.
• Experience building sales processes from scratch.

What We Offer

• Flexible start time and a fully remote work format.
• A team that supports initiative and professional growth.
• The opportunity to work with modern AI tools.
• Official employment, paid vacation, and sick leave.
• A budget for training and professional development.
• The opportunity to directly influence sales processes and gradually build your own team.

🌍 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 building and scaling a mature, data-intensive B2B SaaS platform used by enterprise customers across multiple markets. The platform supports a diverse range of enterprise use cases across operational planning, information analysis, case management, and cross-team collaboration.

The product brings together large volumes of structured and unstructured data, domain-specific analytics, and configurable workflows to help users investigate complex cases, collaborate effectively, and make timely operational decisions.

🌟 About the Role:
We are looking for a Principal / Staff AI Engineer to design, build, and deliver reliable AI-powered capabilities as part of an established production platform.

You will work at the intersection of backend engineering, generative AI, and product development. Your responsibilities will cover the full delivery cycle - from exploring ideas and validating technical approaches to building production services, evaluating output quality, and improving solutions based on real-world usage.
This is a hands-on engineering role with significant ownership. You will have the opportunity to influence architectural decisions, engineering practices, and the broader adoption of AI across the product while working closely with engineering, product, and other cross-functional teams.
 

📈 Key Responsibilities:

• Design, build, and deploy production-grade autonomous agent systems that solve open-ended, complex, and multi-step tasks for real users.
• Build the core agent platform and harness, including planning, tool use, agent orchestration, context management, memory, and reusable agent skills.
• Develop agents that can independently determine their next steps, adapt based on intermediate results, and maintain direction during long-running tasks.
• Design human-in-the-loop mechanisms that define when agents can act independently and when human guidance, review, or approval is required.
• Develop methods and tooling to validate AI-generated results, evaluate agent behavior, diagnose failures, monitor production performance, and improve reliability over time.
• Build scalable Python backend services and integrate agent capabilities with distributed production systems, taking new functionality from experimentation to reliable real-world use.
• Own key architectural and technical decisions, establish AI engineering standards, and introduce new approaches that advance the team’s agent platform and engineering expertise.
  
   

💻 Required Competence and Skills:

• 7+ years of software engineering experience, including at least 1.5 years of hands-on experience building and shipping LLM-based products to production.
• Proven experience building autonomous AI agent systems used by real users at meaningful scale and capable of handling complex, open-ended, multi-step tasks.
• Hands-on experience with AI agent frameworks such as LangChain, LangGraph, Deep Agents, or similar. Experience selecting frameworks, identifying their limitations, and building custom components where needed.
• Strong backend engineering skills in Python or another language such as Golang, Java, or Rust, with the willingness to work primarily with Python.
• Experience with context and memory management, agent orchestration, and human-in-the-loop systems.
• Experience taking AI products from experimentation to reliable production use, including cloud deployment, system integration, AI quality validation, monitoring, and agent failure analysis.
• Strong end-to-end ownership, communication, and ability to make technical decisions, work independently, and adapt quickly in a high-velocity environment.
• Advanced English skills.

➕ Nice to Have:

• Experience with React.js and full-stack development, with the ability to contribute to frontend development when needed.
• Experience with vector databases and similarity search in production AI applications.

🚀 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.

Adwa is a team of innovators with deep expertise in delivering customized business solutions in the IT sector. We are looking for an outgoing extrovert and a communication skills guru to join us for inspiring projects and unlimited opportunities. Our passion for teamwork and ability to create exceptional experiences for our clients is the key to a successful future.
So, let’s get ready to rewrite the rules of the IT world!

Requirements:

• English proficiency at B2 level or higher;
• Experience in the gambling industry;
• Client-oriented mindset, empathy;
• Previous language practice at work (both verbal and written);
• Understanding of sales.
   

Responsibilities:

• Communicating with clients via email, chat, and phone (in the future);
• Diligent management of the CRM system;
• Providing high-quality service and transferring potential clients to the retention team;
• Meeting assigned plans and targets;
• Constantly improving expertise (we have a coach who is always happy to help).
   

We offer:

• 24 paid vacation days and three weeks of sick leave;
• National holidays — on-call mode for queries, if any;
• 2 Day Offs per year;
• Remote work: Mon – Fri (9:00 AM – 6:00 PM Kyiv time);
• Corporate English lessons, 75% compensation for relevant courses;
• If needed, we provide equipment (after the probation period);
• We operate without micromanagement — we trust each of our specialists, and all team members are open for communication.

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for a Senior Data Scientist to join our Data Science practice and work directly with customers on complex AI and Machine Learning projects on AWS.

This is not a traditional analytics or research-focused Data Science role. You’ll work across classical ML, fine-tuning, GenAI, multimodal systems, and production ML on AWS, helping customers decide which technical approach actually fits their problem.

You’ll own projects end-to-end: understand the customer’s domain and data, evaluate different solution paths, define the architecture, implement the critical parts, and guide delivery through production.

📍 Work location: remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Key Responsibilities

• Own Data Science projects end-to-end: Take customer problems from technical discovery through data analysis, solution design, experimentation, implementation, deployment, and production validation.
• Choose the right technical approach: Evaluate whether a problem should be solved with prompt engineering, RAG, GenAI, agentic workflows, fine-tuning, smaller language models, classical ML, Computer Vision, recommendation systems, or custom model training.
• Work deeply with data: Analyze and prepare customer datasets, identify data quality issues, create representative validation and golden datasets, and ensure the available data can support the chosen modelling approach.
• Build and fine-tune ML models: Train, fine-tune, optimize, evaluate, and deploy models using Python, PyTorch/TensorFlow, SageMaker, and modern ML tooling.
• Work with Generative AI: Build and evaluate GenAI solutions using Amazon Bedrock, RAG, prompt engineering, model selection, agentic workflows, and related AWS-native AI services.
• Use SageMaker in production: Work with SageMaker Studio, training jobs, endpoints, pipelines, model registry, batch inference, monitoring, and other production ML capabilities.
• Design production-ready solutions: Make architecture decisions across quality, latency, cost, scalability, maintainability, observability, and operational complexity.
• Work directly with customers: Participate in technical discovery, workshops, architecture discussions, and delivery conversations with founders, CTOs, engineering teams, and technical stakeholders.
• Challenge technical assumptions: Help customers avoid unnecessary complexity, explain trade-offs, costs and recommend simpler or more effective approaches when appropriate.
• Lead through technical ownership: Independently own projects with minimal supervision and mentor less experienced Data Scientists and engineers when needed.

• Collaborate across teams: Work closely with AI Engineers, MLOps, Data Engineering, DevOps, and Solution Architecture teams on customer solutions that cross multiple technical domains.

   

Requirements

• 5+ years of experience in Data Science, Machine Learning, Applied Science, or a closely related role.
• Strong classical Machine Learning fundamentals and hands-on experience building production ML solutions.
• Deep practical experience working with data, including data preparation, validation, feature engineering, dataset construction, and model evaluation.
• Strong Python skills and hands-on experience with PyTorch and/or TensorFlow.
• Strong practical experience with AWS SageMaker beyond notebook-level usage, including model training, deployment, inference, pipelines, or production operations.
• Hands-on experience with Amazon Bedrock and modern Generative AI approaches.
• Practical experience with fine-tuning models and understanding when fine-tuning is preferable to prompting, RAG, or other approaches.
• Experience in at least one strong ML domain such as NLP, Computer Vision, recommendation systems, forecasting, structured ML, multimodal ML, or similar.
• Understanding of RAG, embeddings, prompt engineering, foundation models, and agentic workflows.
• Strong understanding of MLOps and production ML practices, including model deployment, monitoring, reproducibility, lifecycle management, and CI/CD.
• Experience designing and owning solutions independently rather than working only from predefined technical specifications.
• Strong customer-facing communication skills and ability to explain technical trade-offs clearly.
• Ability to work with ambiguity, messy real-world data, and changing customer requirements.

• Strong technical judgment and a pragmatic approach to balancing model quality with delivery speed, cost, and business value.

   

Nice to have

• Experience with AgentCore, Bedrock Agents, LangGraph, Strands Agents, or other agentic frameworks.
• Experience with Small Language Models or domain-specific model adaptation.
• Experience with recommendation systems, audio ML, signal processing, or multimodal systems.
• Experience in technical consulting, pre-sales, or customer discovery.
• AWS Machine Learning certifications.
• Master’s degree or PhD in Computer Science, Machine Learning, Data Science, Mathematics, Statistics, or a related field.

What Success Looks Like in Year One

• Independently owns assigned data projects end-to-end, from understanding the problem and making technical decisions to implementation, troubleshooting, testing and successful delivery, with minimal supervision.
• Has built strong practical expertise across the team’s core data stack and can confidently work across different customer environments, including Spark, Python/SQL, data lakes/lakehouses, analytical and NoSQL databases, streaming and other technologies used by the team.
• Can investigate unfamiliar data problems independently, identify performance or data-modeling issues, understand upstream/downstream dependencies, and recommend pragmatic solutions to customers.
• Continuously expands technical depth, keeps up with modern Data technologies and patterns, and can quickly learn new technologies as customer projects and the Data practice evolve.
   

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.

Key responsibilities (Managing Company level)
• Consolidate and validate management and statutory reporting (P&L, CF, BS) for all business units, ensuring IFRS compliance;
• Administer the central management‑reporting system (BI/ERP) and safeguard data integrity;
• Verify the correctness of accounting entries and financial results for every project;
• Prepare consolidated dashboards on investments, dividend payouts and current project capital intensity;
• Detect variances against plan and prior periods; produce analytical notes for the CEO.
• Perform deep plan‑vs‑actual variance analysis, determine root causes and make recommendations to the CFO/CEO;
• Hold administrator access to accounting systems (Xero, QuickBooks, etc.) and monitor data accuracy;
• Control the timely and accurate submission of stand‑alone (individual) reports by each business unit;
• Assess tax burden, launch and supervise optimisation initiatives;
• Co‑develop—in tandem with the CFO—reporting, budgeting and financial‑function regulations across business units;
• Ensure all reports are delivered on time for the Managing Company and other stakeholders;
• Lead cash‑flow forecasting, currency‑risk hedging and liquidity‑management processes;
• Coordinate external audits, prepare board packs and liaise with investors;
• Drive finance‑process automation and ERP/BI enhancements, delivering continuous efficiency gains;
• Support upon СFOs request M&A and partnership due‑diligence, integrating acquired entities into group reporting standards

Experience & competencies
• 3-5+ years as Group/Chief Financial Controller, Internal Auditor or Head of Finance in a multi‑business environment, BIG4;
• Solid command of IFRS/GAAP, management & tax accounting; proven track record with internal and external audits;
• Experience standardising reporting, implementing financial regulations and building processes from scratch;
• Advanced Excel/Google Sheets skills; hands‑on with BI tools and ERPs (QuickBooks, Xero, etc.);
• English at Upper‑Intermediate level or higher (reporting and communication partially in English);
• Strong analytical mindset, critical thinking, ability to craft non‑standard solutions and manage communications with business units and C‑level stakeholders;
• Ability to reconcile crypto and fiat transactions and process large data volumes quickly &accurate;
• Capability to independently run reporting during the pre‑launch phase of new ventures;
• Critical assessment of business models and their financial viability;
• ACCA, CPA, DipIFR or other international certifications;
• Experience with international holding structures, offshore jurisdictions and cross‑border settlements;

About the Role

Softprom is looking for a Business Development Manager to lead sales and partner channel development for VMware (Broadcom) solutions across Ukraine and Georgia. You will be responsible for driving revenue growth, managing the partner ecosystem, and representing the vendor relationship within the region.

Requirements

• Proven track record (3+ years) selling VMware and other infrastructure IT solutions
• Experience building and supporting a partner channel
• Strong knowledge of the IT markets in Ukraine and Georgia
• Solid understanding of the VMware solutions portfolio
• Knowledge of VMware licensing models
• Familiarity with the specifics of project-based sales
• Strong negotiation skills and experience
• Experience working with tenders
• Higher technical education
• Proactive, results-driven attitude
• Excellent communication skills
• Kyiv-based location preferred

• References from previous employers will be an advantage

   

Responsibilities

• Consistently deliver on sales and margin targets
• Manage ongoing, systematic work with the partner channel
• Plan, analyze, and implement tactics to grow sales volumes
• Drive target growth in sales volume and market share within the region
• Analyze the market and competitive landscape
• Actively source, recruit, and retain partners; build strong business relationships with partners across the assigned territory
• Track key deals and maintain an up-to-date pipeline and forecast
• Conduct effective negotiations and manage contract closing
• Maintain effective communication with the vendor
• Organize training sessions for partners and customers
• Plan marketing activities together with the marketing team
• Oversee contract approval and signing processes
• Provide reporting to the vendor

• Manage CRM data: maintain the client database, log key activities, and keep the pipeline current

   

Working Conditions

• Contract with a Group 3 sole proprietor (FOP)
• Salary discussed at interview 
• Paid vacation
• Remote work schedule
• Corporate training programs
• Vibrant corporate culture: internal events, celebrations, and social initiatives.

About the role

We are looking for an experienced Affiliate Manager to join our growing AI-powered VPN startup. You will be responsible for building and scaling our affiliate program, developing long-term partnerships, and driving high-quality user acquisition.

Responsibilities

• Identify, recruit, and onboard new affiliate partners.
• Manage and grow relationships with existing affiliates.
• Negotiate commercial terms and partnership agreements.
• Monitor partner performance and optimize traffic quality.
• Analyze campaign performance and prepare regular reports.
• Collaborate with marketing and product teams to maximize partner results.
• Research new traffic sources and partnership opportunities.
• Ensure compliance with company policies and industry best practices.

Requirements

• At least 1 year of Affiliate Manager experience .
• Proven experience working with affiliate networks, publishers, and direct partners.
• Strong negotiation and communication skills.
• Analytical mindset with experience using tracking and reporting tools.
• Understanding of CPA, RevShare, Hybrid, CPC, and CPI models.
• Ability to work independently and take ownership of results.

Nice to have

• Experience in Privacy, Cybersecurity, SaaS, or Subscription products.
• Existing network of affiliate partners in the VPN niche.
• Experience working with mobile apps (iOS/Android).
• Knowledge of MMPs, attribution, and analytics platforms.

What we offer

• Competitive salary + performance-based bonuses.
• Opportunity to build an affiliate program from the ground up.
• Direct impact on product growth and business decisions.
• Fast-paced startup environment with minimal bureaucracy.
• Flexible working hours and remote-friendly culture.
• Professional growth alongside an experienced team.

We are looking for a HubSpot Specialist / Consultant to join our team and help international clients get more value from their CRM and digital tools.

You don't need to be a HubSpot expert from day one. We are looking for someone with good English, strong analytical and communication skills, and some experience working with CRM systems, customers, or business processes.

You will work closely with our Client Lead / Account Manager and internal specialists to understand client needs, find practical solutions, and help move projects forward.

What you'll do

• Work with HubSpot and other CRM-related tasks as part of client projects.
• Understand client needs and help translate them into practical solutions.
• Communicate with clients, ask questions, clarify requirements, and explain solutions.
• Coordinate tasks with our marketing, content, design, and development specialists.
• Help organize priorities, follow up on tasks, and keep projects moving.
• Identify potential issues and communicate them proactively.
• Learn and develop your HubSpot knowledge with support from the team.

We believe you have

• Good spoken and written English (B2 or higher).
• Strong analytical and problem-solving skills.
• Good communication skills and confidence working with clients or colleagues.
• Some experience working with a CRM system — HubSpot, Salesforce, Pipedrive, Zoho, or similar.
• Basic understanding of how CRM systems are used to manage customers, leads, sales, or business processes.
• Ability to organize your own work, manage priorities, and meet deadlines.
• Willingness to learn and develop your HubSpot expertise.
• An active Ukrainian FOP or willingness to register one before starting the role.

HubSpot experience is an advantage, but it is not a must.

Experience in customer service, sales support, account management, business analysis, onboarding, or project coordination can also be relevant.

Nice to have

• Hands-on experience with HubSpot.
• Experience with CRM automation, workflows, pipelines, or reporting.
• Experience with Marketing, Sales, Service, or Content Hub.
• Experience working with international clients or teams.
• Experience working in a digital agency, consultancy, or technology company.
• HubSpot certifications.

What we offer

• Work with international clients and real business challenges.
• A combination of CRM, consulting, client communication, and project coordination.
• Support from experienced HubSpot and digital specialists.
• Remote-first working environment.
• Opportunity to develop your HubSpot and CRM expertise.
• Opportunity to grow into a HubSpot Consultant / CRM Consultant role.

We’re excited to welcome Customer Support Agents who speak Spanish, Portuguese, or both, enjoy helping people, and want to grow together with a supportive team.
 

What you'll be doing:
- Helping customers with their questions and concerns across multiple channels (chat, email, phone calls, etc.)
- Staying in touch with the team during your shift to solve issues faster together
- Making sure each customer gets clear, friendly, and helpful responses

What we’re looking for:
- Prior experience in support? Great!
No experience? Also great — we love people who are eager to learn!
- You’re okay with our schedule: Mn-Fr 9 a.m. - 6 p.m. CT
- You're calm under pressure and genuinely care about helping people
- You’re comfortable communicating in Spanish, Portuguese, or both, written and spoken — at least B2 level
- You communicate fluently in English (B2 or higher)

What you’ll get:
- 100% remote work — wherever you feel most productive
- Full onboarding & training — we won’t leave you guessing
- Supportive startup vibe — small team, no bureaucracy
- Room to grow and become a pro in customer support
 

If you're someone who enjoys solving problems and making someone’s day a little easier — we’d love to hear from you! 🚀

Company: QAIL AI (qail.ai) 
Team: Founding Engineering Location: Remote (US time zones preferred) 
Type: Full-time · Senior/Lead

About QAIL

QAIL is building the intelligence layer for the agentic web. We detect and verify the AI agents and bots hitting our customers' websites in real time, qualify legitimate buying intent, and expose MCP endpoints that let autonomous agents discover and transact with businesses. Our detection runs at the AWS edge on CloudFront and Lambda@Edge, processes high-volume traffic with sub-second latency, and closes the loop back to ad platforms through Click ID attribution.

We're a small founding team moving fast on a category that's forming right now. You'll have real ownership over the systems at the core of the product.
 

The Role

We're looking for a senior/lead full stack engineer with deep backend strength to own — and set technical direction for — our edge detection and signal pipeline: the part of QAIL that sees every request, fingerprints it, and decides in milliseconds whether it's a human, a known AI agent, or something trying to look like one.

This is a high-throughput, low-latency problem. You'll be comfortable thinking about request volume, p99 latency, and the difference between what you can compute at the edge versus what belongs in the aggregation layer. As one of our most senior engineers, you'll make the architectural calls, set the standards the team builds against, and mentor as we grow. You'll touch frontend too — the customer dashboard and our embeddable detection script — but the center of gravity is backend and edge infrastructure.

What You'll Do

• Build and own detection at the AWS edge (CloudFront + Lambda@Edge): User-Agent and ASN matching against published AI provider ranges, TLS fingerprinting (JA3/JA4), and request-shape signals — all before the page is served.
• Design the signal aggregation pipeline that fuses edge signals, server-side behavioral data (timing, path depth, headers), honeypot/pixel hits, and fingerprint consistency into an identity and intent decision.
• Engineer the system to handle large traffic volumes reliably and cheaply — latency budgets, backpressure, caching, and graceful degradation under load.
• Build and maintain our MCP endpoints and attribution API that close the loop between agent activity and the customer's ad platforms.
• Develop the embeddable client script (fingerprint capture, form integration) and contribute to the real-time analytics dashboard customers use to see bot traffic and lead quality.
• Set technical direction — own architecture decisions, establish engineering standards, review code, and mentor engineers as the team scales.
• Make pragmatic architecture calls appropriate to our stage — ship, measure, iterate; no premature microservices.

Our Stack

• Backend: Java (primary) for core services and the signal pipeline; Python a plus. Edge functions (Lambda@Edge / CloudFront Functions) run in JavaScript/Node and Python.
• Edge: AWS CloudFront, Lambda@Edge
• Detection signals: TLS/JA3/JA4 fingerprinting, ASN/IP reputation, behavioral & timing analysis, browser fingerprinting
• Protocols/APIs: MCP (Model Context Protocol) endpoints, REST, Click ID attribution feedback
• Frontend: Modern JS/TS, React-based dashboard, vanilla JS/TS embeddable scripts
• Infra: AWS-native; managed services over self-hosted where the cost delta is modest

What We're Looking For

• 7+ years of backend engineering, with a track record building high-traffic, latency-sensitive systems (APIs, pipelines, or real-time services at scale).
• Strong proficiency in Java (our primary backend language); Python a plus, plus comfort writing edge functions in JavaScript/Node or Python (Lambda@Edge / CloudFront Functions) and working across the full stack.
• Hands-on experience with AWS edge / serverless (CloudFront, Lambda@Edge, Lambda) — or deep CDN/edge-compute experience you can transfer quickly.
• Strong grasp of HTTP, TLS, networking, and request lifecycle fundamentals.
• Demonstrated technical leadership: owning architecture, setting standards, and raising the bar for engineers around you.
• A pragmatic, ownership-driven mindset suited to an early-stage team: you scope, build, and ship end to end.

Bonus Points

• Background in bot detection, anti-fraud, ad tech / mar tech, or web security.
• Familiarity with fingerprinting techniques (TLS, canvas/WebGL, behavioral) from either the detection or evasion side.
• Experience with MCP, agentic systems, or LLM application infrastructure.
• Startup experience strongly preferred — you've thrived in an early-stage, high-ambiguity environment before.
• Big plus if you've been a startup founder yourself — you know what it takes to build from zero and own outcomes end to end.

What We Offer

• A founding-team seat in an emerging category, with influence over product and technical direction.
• High autonomy and direct ownership of core product systems.
• Remote-first, fast-moving, low-bureaucracy environment.

We're Drivee AI, an AI sales company in the automotive space. We're looking for an experienced appointment setter who actually knows how to book meetings and isn't afraid to work.

This Isn't Entry-Level:

We need someone who's done this before—proven results, not promises. If you've spent years making calls, overcoming objections, and booking qualified demos, this is for you.

What You'll Actually Do:

· Make 100+ cold calls daily to dealership owners and managers
· Get past gatekeepers, have real conversations, book 15-min demos
· Log everything in our CRM, follow up with prospects
· Hit your numbers consistently
· Watch the AE close what you booked (you'll see the results)

Who You Are:

✓ 3+ years of B2B cold calling or SDR experience (you know your stuff)
✓ You consistently book qualified meetings (show us your numbers)
✓ English fluent and professional on calls (no accent discrimination—just professional)
✓ You work during U.S. business hours comfortably
✓ Strong internet, organized, and driven by results

Your Compensation:

Base pay + commission per booking. Top performers consistently make $3-4k+ monthly. Long-term growth opportunity as we scale.

What We Need From You:

· Your resume
· 2-min voice message or Loom: Tell us about your biggest month booking meetings (numbers matter)
· Your average monthly KPIs from a previous role
· If you have it: A manager reference or email from a past employer confirming your results

Why Send All That?

Because we're serious about hiring experienced pros, and you should be serious about proving you're one. This filters out noise and means everyone who gets hired is legit.

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Finance Manager / Financial Analyst

DTC / E-commerce / Payments

We are looking for a Finance Manager / Financial Analyst who can take ownership of the company's financial reporting, cost tracking and financial analytics.

The ideal candidate should have experience with DTC / E-commerce and payment processing, or be willing to quickly learn the specifics of this area.

The key requirement is the ability to understand the real economics of the business, including not only revenue and advertising costs, but also payment processing fees, refunds, chargebacks, alerts and other payment-related expenses.

Key Responsibilities

1. Financial Reporting & Analytics

• Build and maintain regular P&L reports.
• Build and maintain Cash Flow reports.
• Track revenue, COGS, gross profit, operating expenses and net profit.
• Track actual vs. planned expenses.
• Prepare weekly and monthly financial reports.
• Analyze profitability by product, GEO, channel or project when required.
• Build consolidated financial dashboards and reporting tables.

2. Payment & Processing Analytics

The candidate should understand or be willing to learn:

• Credit card transactions.
• Payment processing fees.
• MDR / processing fees.
• Refunds.
• Chargebacks.
• Chargeback alerts.
• Failed / declined transactions.
• 3DS-related costs.
• PSP / payment gateway fees.
• MID-related costs.
• Rolling reserves.
• Payment provider payouts and settlements.

It is important to understand the full cost of each payment-related event, rather than simply recording the transaction amount.

For example, for a refund, the model should account for the refunded amount as well as any non-refundable processing fees, fulfillment/shipping costs and other associated expenses where applicable.

For chargebacks, the model should account for the lost transaction amount, chargeback fees and other related costs.

3. Data Collection & Consolidation

The Finance Manager will collect and consolidate financial data from multiple sources, including:

• Bank accounts.
• PSPs and payment providers.
• Payment gateways.
• CRM / order management systems.
• Advertising platforms.
• Meta / Google and other traffic sources.
• Accounting systems.
• Internal spreadsheets and reports.

The goal is to have one reliable financial model where all major business expenses and revenues are reflected.

4. Reconciliation

• Reconcile bank transactions with internal financial data.
• Reconcile PSP settlements and payouts.
• Track refunds and chargebacks.
• Verify processing fees.
• Identify discrepancies between systems.
• Track pending balances and reserves.
• Monitor actual cash received vs. expected cash.
• Investigate and explain financial discrepancies.

5. Operating Expenses & Payroll

The financial model should include all relevant business expenses, including:

• Employee salaries.
• Contractor payments.
• Bonuses and commissions.
• Advertising spend.
• Payment processing.
• Refunds.
• Chargebacks.
• Chargeback alerts.
• Fulfillment and shipping.
• Product / manufacturing costs.
• SaaS and software.
• Accounting and legal expenses.
• Other operational expenses.

Financial Models & KPIs

The candidate should be able to build and maintain reporting covering:

• Revenue.
• Net Revenue.
• Refunds.
• Chargebacks.
• Chargeback alerts.
• Payment processing fees.
• COGS.
• Advertising spend.
• Fulfillment / shipping.
• Payroll.
• Operating expenses.
• Gross Profit.
• Operating Profit.
• Net Profit.
• Cash In.
• Cash Out.
• Cash Balance.
• Cash Flow.

Key ratios and metrics should also be tracked, including:

• Refund rate.
• Chargeback rate.
• Alert rate.
• Processing cost %.
• Advertising cost %.
• Payroll %.
• Operating expense %.
• Net margin.
• ROAS / ROI.
• Contribution margin.

Requirements

Must have:

• Strong Excel / Google Sheets skills.
• Strong financial analysis skills.
• Ability to build and maintain P&L and Cash Flow models.
• Ability to work with large amounts of data.
• Strong attention to detail.
• Ability to reconcile data from multiple sources.
• Good understanding of business and unit economics.
• Ability to independently identify discrepancies and explain financial results.

Strong plus:

• Experience in DTC / E-commerce.
• Experience with subscription businesses.
• Experience with payment processing.
• Experience working with PSPs / MIDs / payment gateways.
• Understanding of refunds, chargebacks and chargeback alerts.
• Experience with Meta / Google advertising spend.
• Experience building financial models from scratch.

Important

We are not necessarily looking for someone who already knows every detail of payment processing.

A strong financial analyst with excellent Excel / Google Sheets skills, good financial thinking and experience building P&L / Cash Flow models can be a good fit if they are willing to learn the payment side of the business.

The person should be able to quickly understand the flow:

Customer payment → PSP / MID → processing fees → refund / alert / chargeback → reserves → settlement → actual cash received

The key requirement is that the person does not simply enter numbers into spreadsheets, but understands what each number means and how it affects the actual profitability and cash flow of the business.

Expected Result

The Finance Manager should provide a clear and accurate picture of the business:

How much we generated → how much we actually received → where the money was spent → payment-related costs → refunds / chargebacks → operating expenses → payroll → actual profit → actual cash flow.

The person should be able to independently maintain this system, identify discrepancies and provide clear weekly and monthly financial reports to management.