Location: Limassol, Cyprus
Workplace: on-site
Our team is developing a payment gateway for accepting funds from users on behalf of merchants, as well as sending funds from merchants to users. The system involves storing user payment data and is subject to PCI DSS compliance. It contains multiple integrations with payment systems, providers, and other gateways and processors, including 3DS.
We are seeking an experienced
HR Manager
to join our passionate team.
Job Responsibilities:
Act as the main HR point of contact for employees and managers, providing hands-on support across a wide range of people-related matters.
Build strong relationships across the company and maintain a good understanding of employee experience, team dynamics, and emerging people needs.
Partner with managers on performance, development, employee relations, organizational changes, and complex individual cases.
Own and continuously improve key HR processes across the employee lifecycle, from onboarding and probation to development, internal moves, and offboarding.
Review and adapt existing HR practices to better fit the company’s evolving needs, culture, and ways of working.
Identify gaps and proactively design and implement new HR practices, policies, and solutions where needed.
Use employee feedback and people data to identify trends, risks, and opportunities for improvement.
Help build a scalable and effective People function that evolves together with the business.
Take ownership of HR processes, policies, and benefits currently provided at group level, assess their fit for company, and adapt, replace, or redesign them where needed as the company evolves.
Own and evolve employee benefits and related People programs, evaluating their effectiveness, employee value, cost, and fit with the company’s needs.
Balance employee needs with business priorities, applying sound judgment and ensuring People decisions are practical, consistent, and aligned with the company’s goals and culture.
Ensure HR practices and policies remain compliant with applicable employment requirements, working with internal or external legal and operational partners where necessary.
You’ll thrive here if you have
5+ years of broad HR experience in a People Partner, HRBP, or Senior HR Generalist role, ideally within a technology, fintech, or other fast-paced environment.
Strong hands-on experience across the employee lifecycle and solid knowledge of core HR processes.
Proven experience independently owning and improving HR processes, not only supporting their execution.
Ability to assess existing practices, identify what needs to change, and drive improvements from idea through implementation.
Strong employee relations experience and confidence handling complex or sensitive individual cases.
Comfortable being a visible and approachable HR presence for employees while partnering effectively with senior managers.
Strong ownership, judgment, communication, and stakeholder management skills.
Comfortable working in an evolving environment where processes and ways of working are still being developed.
Experience building, transforming, or localizing HR practices would be a strong advantage.
Fluent English. Russian is a plus.
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
EU passport. Opportunity to obtain an EU passport after 4 years of residence.
Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
Private medical insurance for you and your family.
Corporate mobile plan (unlimited in Cyprus with roaming included).
Mindfulness & well-being support, including psychological assistance with 50% coverage.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.
Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Professional growth support: language courses, conferences, training programs, and coaching.
Peer recognition program: receive and share kudos for great work.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.
Benefits are provided in accordance with the company’s policies and eligibility criteria.
Recruitment process
HR Interview (45 minutes);
Hiring Team Interview (1 hour);
Final interview (1 hour);
Recommendations check;
Job Offer.
ОфисLimassol, Cyprus; EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family; Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free
Задачи:
— Создание визуальных клиентов в игре, которые являются частью геймплея и должны передавать различные состояния (болезнь, яд, страх, проклятие, рану, магическую нестабильность, социальную угрозу, следы тёмной магии).
— Возможные задачи по фону лавки, UI-элементам, иконкам ингредиентов, предметам, визуальным эффектам, общей арт-полировке.
Визуальное направление:
— Стиль dark fantasy, мрачное средневековье, алхимическая лавка, тревожная уютность, немного uncanny.
— Требуются выразительные силуэты, читаемые эмоции, хорошая работа с полумраком, ощущение свечей, дерева, трав, стекла, металла, старой бумаги.
— Тёмная, но уютная атмосфера, не bright fantasy, не аниме, не реализм 1:1, атмосферная 2D-стилизация.
— Ориентиры по настроению: Strange Horticulture, Darkest Dungeon (как ориентир по контрасту, тревожности и выразительности), illustrated narrative / deduction games.
Требования:
— Практический опыт в 2D-арте.
— Актуальное портфолио.
— Умение работать со слоями.
— Понимание силуэта, цвета, света, композиции и читаемости.
— Умение передавать эмоции через лицо, позу и детали.
— Готовность работать в рамках выбранного стиля.
— Способность держать визуальную консистентность между клиентами.
— Аккуратная подготовка PSD/PNG для дальнейшего использования в Unity.
— Спокойное отношение к правкам.
— Интерес к атмосферным narrative / deduction / dark fantasy играм.
Будет плюсом:
— Опыт с 2D-ассетами для игр.
— Понимание Unity-пайплайна.
— Опыт подготовки спрайтов слоями.
— Опыт с UI для игр.
— Базовое понимание геймдизайна.
— Любовь к мрачной стилизации, алхимии, средневековью, лавкам, странным клиентам и визуальному сторителлингу.
Условия:
— Удалённо.
— Проектная / part-time занятость.
— Оплата договорная, работа оплачивается.
— Первый этап — оплачиваемое тестовое задание или небольшой тестовый пакет.
— Возможность продолжения сотрудничества по остальным клиентам, лавке, UI, предметам и полировке.
— Коммуникация напрямую с соло-разработчиком, без бюрократии, дейликов и трекинга времени.
About Orchard:
'Orchard' began as the in-house creator programme behind 'In Print We Trust'. That programme took the brand to over a billion views a month and the 13th most-mentioned fashion brand on TikTok UK, and put thousands of creators on contract. We have now launched it as a business in its own right, selling guaranteed organic views with product placement to brands. This is how brands grow now. Celsius, Bloom, Cal AI and Polymarket became big because thousands of creators had the product in their videos at the same time. The business is at multi six-figures in its first month operating from inbound. You'll build the sales side from scratch: pipeline, pricing, contracts, the first hires.
About the role:
What brands buy is simple: a number of views, at one CPM, guaranteed. You'll take the machine and find every way it can be sold. Some we can see: white-label it to agencies; sell it to labels as sound seeding; sell it to retailers and CPG brands as launch momentum; sell managed supply to creator platforms in the markets they can't cover. Some we can't see, and that's where you step in. Perhaps you've got a way in at an AI lab that buys creator footage by the thousand hours, or another channel we aren't even aware of yet. This is a high-ownership opportunity to build/run sales/growth.
Requirements:
— You need to have built revenue from a standing start before, at an agency, a platform or your own company, and have hired and run people who sell.
— You are comfortable being first: no marketing team, no SDR, a product whose packaging you will change.
— You have extreme agency and can be scrappy/inventive.
— You've personally closed $100K+ sized deals with agencies, brands or platforms, and you've hired or managed people who sell.
— Experience selling to SaaS, ecommerce, DTC, retail and founder-led companies.
— You know the UK and US agency and creator world well enough to get 20 meetings from your own contacts in month one.
— You understand DTC/ecommerce and Meta advertising.
Benefits:
— £65,000 - £95,000 base + commission
— Unlimited PTO
— 6% pension contribution
— Travel budget for meetings, US trips included
— Remote first, with a London desk when you want one
УдалённоheadLondon
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Location: Remote
Workplace: hybrid
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
💥 What will you do?
Conduct technical analysis and charting of cryptocurrencies, blockchain & RegTech market to create subject-specific content.
Communicate content recommendations through market research reports.
Forecast crypto & RegTech market trends.
Create compelling and data-backed analytical articles for blogs.
Leverage existing internal data sources to come up with research reports such as ‘2021 State of Crypto Crime,’ ‘Hack Trends 2021,’ etc.
Optimize and Identify SEO best practices for content
🙋 What makes you a great addition to the team?
Fluent in English.
At least 2-4 years of writing experience
Experience in analytical problem solving and quantitative analysis.
Good understanding of the blockchain & cryptocurrency industry.
Ability to work in a fast-changing, cross-functional environment, while maintaining an entrepreneurial approach and building rapport with ease
Ability to take complex topics and create compelling narratives for target audiences
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Location: Yerevan, Armenia
Problem Space
Logistics operations today are still largely:
manual
reactive
fragmented across tools
running on incomplete or late data
full of conflicting constraints
under real-time decision pressure
driven by evolving business rules
a mix of legacy and new systems
Much of this is unstructured: emails, documents, free-text updates, exceptions nobody modelled. That is where AI changes the game.
We’re building a system that:
ingests real-time operational data, structured and unstructured
supports planning and execution decisions, with AI agents that act where it’s safe and hand over to humans where it isn’t
adapts to constantly changing constraints
What You’ll Work On
AI in production.
Building LLM- and agent-powered features into production .NET services: tool calling, structured outputs, retrieval over operational data, document and message understanding.
The seams.
Designing the boundaries between deterministic business logic and probabilistic AI: validation, fallbacks, human-in-the-loop.
Trust.
Making AI measurable and trustworthy: evals, test sets, observability, guardrails and cost/latency budgets.
Ownership.
Owning features end to end, from problem framing with product to running them in production.
Design Principles
keep things simple before scalable
prefer explicit logic over magic abstractions, and that includes AI: deterministic where you can, model where you must
optimize for change, not perfection (models, prompts and providers will change)
measure AI behaviour, don’t trust vibes
avoid “framework-driven architecture”
accept that some parts will be ugly, temporarily
Tech Stack
.NET · Vue.js · service-oriented architecture · relational + operational data storage · cloud-based infrastructure · LLM APIs and agent tooling (e.g. Semantic Kernel / Microsoft.Extensions.AI, MCP) · vector/semantic search · eval and tracing tools
How We Build
AI-native development is the default. You use coding agents (e.g. Claude Code, Copilot) every day.
You own what you ship, whoever typed it: you review AI-generated code critically, test it and understand it.
What We Expect
Strong, senior-level .NET engineering
Ability to navigate uncertainty and work in ambiguity
Willingness to challenge decisions
Focus on outcomes, not just code
Understanding of trade-offs and complex systems, including when not to use AI
Preferring ownership over comfort
Strong Plus
Having shipped LLM/AI features to production and kept them running
Experience with evals, prompt/version management or AI observability
Python for prototyping and data work
Logistics or other real-time operations domain experience
What You Won’t Find Here
over-engineering everything upfront
unnecessary microservices
“clean architecture” for the sake of it
process-heavy development
AI demos that never reach production
wrapping a chatbot around a problem and calling it solved
Location: London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
About this role
Our website is one of the most important ways people discover what we offer, understand our value, and decide whether to talk to Sales or start a trial. The Web Growth team owns its roadmap and continuously improves the journey from first impression through to lead capture, demo engagement, signup, and trial start.
You’ll treat the website like a product: understand user intent, find confusion and friction, form strong hypotheses, test them with users and data, and turn what you learn into better experiences.
You’ll be just as comfortable shaping the problem and influencing the roadmap as you are designing the final interaction, prototype, or page.
What you’ll be doing
Experimentation:
Designing and iterating on experiments across landing pages, pricing, signup, and conversion flows to improve engagement, conversion, qualified leads, and trial starts.
Collaboration:
Working with Growth, Self-serve, Brand, Marketing, Product, Data, Research, and Engineering to turn opportunities into clear, buildable experiences.
Data and insight:
Using user insights and funnel data to identify opportunities, define hypotheses, and measure impact.
Product design:
Applying product design thinking to comprehension, navigation, forms, interactive demos, responsiveness, and accessibility.
Prototyping and systems:
Prototyping in Figma and code, using AI tools where useful, and working within shared components and brand systems.
Roadmap ownership:
Bringing ideas to the Web Growth roadmap, not just executing briefs.
Must have experience
Experience:
5+ years in web, product, growth, or a closely related design role, with a strong portfolio of shipped, conversion-focused work.
Growth mindset:
A track record of using design, growth frameworks, conversion rate optimisation, and funnel analysis to improve outcomes such as leads, conversion, trials, activation, or revenue.
Experimentation:
Experience designing and iterating on experiments, including A/B tests or other data-informed approaches. B2B SaaS experience is a plus.
Craft and taste:
Excellent visual and interaction design skills, with a sharp eye for typography, hierarchy, detail, and polish.
Systems and brand:
Comfortable working within an existing design system and brand, while identifying opportunities to extend and improve it.
AI fluency:
Experience using AI in your design practice, including tools such as Claude Code, Cursor, Codex, Figma Make, or similar. You should be able to explain how AI has changed your workflow and what you have built or shipped with it.
Ownership:
Able to take a brief and run with it. You work independently, make good decisions, ask the right questions, and bring solutions rather than just options.
Who this role is not for
This role is not for you if:
You only want to design campaign or marketing pages from a fixed brief. This role owns the journey from first visit through to lead, demo, signup, or trial.
You care about visual polish but not about comprehension, navigation, forms, interactive demos, or reducing friction.
You don’t want to work with funnel data, user research, experimentation, or the realities of implementation.
You want to focus on brand expression without balancing it with usability, accessibility, performance, and measurable growth.
You need a fixed roadmap and detailed requirements rather than identifying opportunities and shaping what the team should test next.
You’re not interested in working closely with Growth, Marketing, Product, Data, Research, and Engineering to make the website perform better.
What success looks like
You’ll know you’re successful if:
More visitors understand Fin and Intercom, find the right path for their needs, and take the next step with less friction.
You’ve improved meaningful growth outcomes across qualified leads, demo engagement, signups, and trial starts.
Experiments are well designed, clearly measured, and used to inform what the team does next.
You’ve made complex product value easier to understand and act on without relying on extra explanation from Sales or Marketing.
You’ve built strong working relationships with Growth, Marketing, Product, Engineering, Data, Research, Sales, and Customer Success.
You’ve raised the bar for web growth design through thoughtful, high-quality experiences that people trust and want to use.
Interview process
We understand that interviewing for a new role is both time- and energy-consuming. We aim to be thorough, speedy, and transparent in our approach.
You should expect the entire process to take no more than four weeks from start to finish. You’ll meet with members of our team and have the opportunity to validate that Intercom and the role are the right fit for you.
Ready to build something great?
If you’re excited by the opportunity to help existing businesses get more value from a self-serve product, and you have the craft, curiosity, commercial thinking, and autonomy to make a real impact, we’d love to hear from you.
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Yerevan, Armenia
Role Purpose
The AI Product Stream Lead defines and delivers AI-powered supply chain solutions that solve real customer and operations problems on the Cargoo platform. You own a product stream end to end, from framing where AI creates value (automation, decision support, agents) to shipping it and proving it works in production.
You lead a cross-functional team, balancing customer value, technical and data feasibility, AI quality and cost, business priorities and delivery timelines. You also help set how Cargoo builds product in an AI-native way.
Key Responsibilities
AI Product Vision & Strategy
Shape the stream’s product vision and strategy with stakeholders, in line with Cargoo’s AI strategy and customer needs.
Identify and prioritize AI opportunities across freight operations (e.g. exception handling, quoting, document processing, planning and execution support) by value, feasibility and risk.
Decide where AI should automate, where it should assist, and where a human must stay in control.
Own product decisions, balancing customer value, technical feasibility, AI quality, cost, business priorities and delivery timelines.
Leadership & Delivery
Lead the development team through the whole product lifecycle, from discovery to rollout and adoption.
Decide scope, schedule and quality, including when an AI feature is good enough to ship and when it needs another iteration.
Run fast discovery loops: prototype with AI tools, validate with real users and data, then commit.
Make sure the team meets internal policies, data protection rules and responsible-AI standards (incl. EU AI Act awareness).
Product Management & Requirements
Create clear Use Cases, Requirements and Business Rules. For AI features, add expected behaviour, edge cases, failure modes and escalation paths.
Define success and evaluation criteria for AI features with engineering: accuracy, latency, cost per task and acceptable error rates, backed by representative test sets.
Write User Stories and Acceptance Criteria that cover both deterministic logic and probabilistic AI behaviour.
Work with engineering and data owners on data readiness: which data we need, its quality, and who owns it.
Own and continuously refine the Product Backlog so the team always works on the highest-value opportunities.
Track adoption and impact after release (time saved, automation rate, user trust) and feed the learning back into the roadmap.
AI-Native Ways of Working
Use AI tools every day for research, specs, prototyping, data analysis and feedback synthesis.
Help the team and wider product org adopt AI-assisted delivery practices.
Candidate Profile
Education & Experience
5+ years managing software development projects, strongly preferably as a Product Owner.
Proven managerial skills: team leadership, decision-making and conflict resolution.
Degree or diploma in Information Technology, Informatics or a related field.
Technical Skills (Must Have)
Deep understanding of Agile values, principles and frameworks (Scrum, Kanban, Lean) and the ability to apply them well.
Strong analytical skills, comfortable working with data to make product decisions.
Solid working understanding of how LLMs and AI agents work, what they are good at, and where they fail (hallucinations, non-determinism, cost, latency).
Hands-on, daily use of AI tools in your own work.
Fluent English, written and spoken.
Strong Plus
Having shipped at least one AI/ML or LLM-based feature to production.
Experience defining evaluation criteria or test sets for AI features.
Logistics background or experience with logistics solutions.
Experience with data products, workflow automation or decision-support systems.
Behavioral Traits
Excellent communication with technical and non-technical audiences, including customers, executives, managers and subject matter experts. Able to explain AI trade-offs in plain language.
Strong leadership and decision-making, able to guide teams and resolve conflicts.
Analytical, structured and value-driven in prioritization. Evidence over hype.
Curious and fast-learning, comfortable with ambiguity and quick iteration.
Location: New York
Workplace: remote
⚡️ About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
👀 What are we looking for?
Education and Experience:
Bachelor’s degree in Finance, Accounting, or a related field; MBA or CPA preferred.
Minimum of 7 years of progressive experience in finance, with at least 3 years in a leadership role.
Proven experience in the technology or blockchain industry is highly desirable.
Skills and Competencies:
Strong knowledge of financial management, accounting principles, and financial regulations.
Excellent analytical and problem-solving skills with a strategic mindset.
Proficiency in financial software and tools, such as ERP systems, Excel, and financial modeling.
Exceptional leadership and team management abilities.
Strong communication and presentation skills, with the ability to convey complex financial information clearly.
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
💥 What will you do?
The Director of Finance at Merkle Science will be responsible for overseeing all financial operations, ensuring financial stability, and supporting strategic decision-making. This role involves managing the finance team, driving financial planning and analysis, and ensuring compliance with financial regulations. The ideal candidate will have a strong background in finance, excellent leadership skills, and a deep understanding of the technology and blockchain industry.
Responsibilities:
Financial Management:
Oversee all financial operations and direct corporate financial planning and structure.
Manage the preparation of financial reports, budgets, forecasts, and regulatory requirements.
Ensure the accuracy and integrity of financial information and reporting.
Develop and implement financial strategies to support the company's growth and profitability.
Budgeting and Forecasting:
Lead the budgeting process and quarterly forecasting updates.
Monitor and analyze budget performance and implement corrective actions as necessary.
Provide detailed financial analysis and modeling to support strategic initiatives.
Compliance and Strategic Planning:
Ensure compliance with local, state, and federal financial regulations and standards.
Develop and maintain policies and procedures to ensure financial governance.
Partner with the executive team to develop and execute long-term financial strategies.
Provide financial insights and recommendations to inform business decisions and strategies.
Team Leadership and Stakeholder Communication
Lead and mentor the finance team, fostering a culture of high performance and continuous improvement.
Provide ongoing training and development opportunities for finance staff.
Manage relationships with external auditors, investors, and financial institutions.
Present financial reports and insights to the executive team, board of directors, and investors.
Communicate financial performance and strategy to internal and external stakeholders.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Most subscription businesses lose a password. We lose GPU-seconds.
When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job.
You are the person who finds them, proves it, and puts a number on it.
You make sure:
- Every enforcement action we take is backed by evidence a stranger could follow
- We know what abuse cost us last month, on the same basis as last month
- The detection system is measured against real cases, not against its own past decisions
- When a ring changes shape, somebody notices this week — and that somebody is you
WHAT YOU WILL DO
Investigation & casework
- Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action.
- Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence.
- Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger.
- Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has.
Evidence & defensibility
- Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts.
- Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence.
- Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action.
Quantification & reporting
- Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down.
- Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them.
- Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day.
Monitoring & adaptation
- Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week.
- Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again.
- Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit.
How we work
- SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax.
- Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts).
WHO WE'RE LOOKING FOR
- 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract.
- Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role.
- Python at working level for analysis — pandas, notebooks, a bit of graph work.
- Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence.
- Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable."
- Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate.
- The judgment to escalate rather than act when the evidence is thin, and to say so in writing.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting
- Trust & safety investigators and platform-integrity analysts
- Chargeback, dispute or AML analysts who write their own queries
- Strong product or BI analysts who got handed the abuse problem and kept it
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to build models full time — that is the Antifraud data scientist, and it is open
- Want to do content moderation or NSFW classification
- Would put an account on a ban list without being able to say why in one sentence
- Treat every negative-margin account as an abuser
- Need a labelled dataset or a clean table before you can start
- Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
THE DEAL
- Competitive salary in USD
- Equity: participation in the company's stock option program
- On-site role in Almaty, Kazakhstan
- Relocation support (flight + temporary housing)
- Flat structure, high autonomy, fast career growth
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Generative video has a problem most subscription businesses don't: every unit we sell costs us real compute. A stolen password costs a streaming service nothing. An account farm on an unlimited generation plan costs us GPU-seconds, at scale, every hour it runs.
We have found organised operators running hundreds of accounts on a single card, reselling unlimited generations, and harvesting per-account promotional grants at industrial scale. We have also found that most of our negative-margin accounts are not abuse at all — they are ordinary heavy users on an unlimited plan, which is a pricing problem wearing a fraud costume. Telling those two populations apart, at account level, before the money is gone, is this job.
You own the question of who is taking value they did not pay for, and the system that stops them.
You make sure:
- We catch abuse before the compute is burned, not in a post-mortem that reconciles the loss
- Every enforcement action has a measured precision, a measured cost of being wrong, and a way back for the customer we got wrong
- The difference between fraud and unprofitable pricing is a number we can defend, not a vibe
- When operators adapt — and they will, within days — we find out from a monitor, not from the monthly margin review
WHAT YOU WILL DO
Detection & scoring
- Own the account-abuse scoring system end to end: signals, weights, thresholds, the scoring job, the monitoring, and the recalibration when it decays.
- Build detection that fires early. A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars.
- Work the two halves that actually matter together: linkage (who is connected to whom) and economics (what are they consuming). Either one alone produces a system nobody can switch on — linkage without economics flags families sharing a card, economics without linkage flags our best customers.
- Treat cost as a gate, not a label. On an unlimited plan, being gross-margin negative is normal.
Entity resolution & ring detection
- Find rings, not just accounts: shared payment instruments, IP and ASN concentration, email-stem families, synchronised registration bursts, behavioural fingerprints, automation signatures.
- Do it without a reliable device fingerprint — we do not have one today, and part of this job is telling us what it would be worth and what it would cost.
- Know where graph methods break. Transitive closure through a shared card will happily merge thousands of unrelated people into one "ring"; we have done exactly that and thrown the result away.
Enforcement, policy & the cost of being wrong
- Design graduated, reversible actions — throttle, rate-limit, step-up verification, hold, pre-grant refusal, manual review queue, ban — and match the severity to the confidence.
- Own the false-positive budget explicitly: how many paying customers are we willing to inconvenience to save a dollar of compute, and what is the appeal path for the ones we get wrong.
- Build the pre-grant gates. The cheapest abuse to stop is the kind we decline to enable in the first place — a trial we do not grant costs nothing to claw back.
- Partner with Payments on Stripe Radar, chargebacks and dispute economics; with Support on the queue your model creates; with Legal on what our Terms actually entitle us to do.
Measurement & adversarial monitoring
- Quantify what the system is worth in money — COGS avoided, net of the revenue you destroyed and the support cost you created. Keep that number current.
- Run holdouts even on enforcement, wherever it is legal and safe to do so, because otherwise you will never know what your rules are worth.
- Monitor for adaptation, not just drift. Model decay here is caused by an adversary, and it looks different: a signal stops firing, a ring changes shape, a cohort's behaviour shifts inside a week.
- Watch your own inputs. A detection system that silently loses a feature degrades to a system that cannot reach its own threshold — and reports nothing wrong while doing it.
Making it usable
- Ship scores and reasons, never scores alone. An analyst, a support agent or an auditor must be able to read why an account was actioned.
- Produce evidence that survives outside the company. Our abuse work has already been used in an external audit and in Terms-of-Use enforcement; write for that standard.
- Work in SQL, Python and BigQuery on raw event, payment and generation data. We use AI heavily — resourcefulness beats syntax.
WHO WE'RE LOOKING FOR
- Experience building abuse, fraud or trust-and-safety detection that actually took action on real users — payments fraud, promo abuse, multi-accounting, bonus abuse, account takeover, marketplace or gaming abuse. Anti-money-laundering and credit-risk backgrounds transfer if the modelling was yours.
- Genuine understanding of the adversarial setting: that your counterparty responds, that your training labels are generated by your own past decisions, and that offline AUC on a censored label set is close to meaningless.
- Strong SQL and Python on raw event data without help: joins across payments, usage and identity, window functions, cohort replay. Gradient boosting, and the judgment to know when a two-condition rule beats a model.
- Comfort with graph and linkage thinking — connected components, shared-attribute clustering, and an instinct for when a link is evidence and when it is coincidence.
- Precision-first evaluation instincts: precision at the operating point, cost-weighted error, and why you would take 20% recall at 90% precision over the reverse in an enforcement system.
- Unit-economics literacy: gross margin per account, what compute actually costs us, why a negative-margin customer may be entirely legitimate.
- The judgment to escalate rather than act when the evidence is thin, and to say so in writing.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Fraud / risk data scientists from fintech, payments, marketplaces, gaming or crypto
- Trust & safety and platform-integrity teams who owned detection and enforcement policy
- Growth or product data scientists who ended up owning promo-abuse because nobody else would
- Analysts from payment processors, PSPs or chargeback/dispute operations who moved into modelling
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to build content-moderation or NSFW classification — that is a different function here
- Would ship a ban list without knowing its precision
- Optimize AUC on a label set your own enforcement created, and call it validated
- Need a labelled fraud dataset to exist before you can start
- Treat every negative-margin account as an abuser
- Are uncomfortable that being right 90% of the time means being wrong about real, paying, legitimate people — and that you own what happens to them
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
THE DEAL
- Competitive salary in USD
- Equity: participation in the company's stock option program
- On-site role in Almaty, Kazakhstan
- Relocation support (flight + temporary housing)
- Flat structure, high autonomy, fast career growth
Responsibilities:
— Design, create, and maintain automated test scripts (UI & API).
— Integrate test automation suites into CI/CD pipelines.
— Analyze test results, investigate failures, and report bugs clearly.
— Work closely with developers and manual QA engineers to expand automation coverage.
Key Requirements:
— 3+ years of hands-on experience in QA Automation.
— Proficiency in Python or JavaScript / TypeScript (or Java).
— Strong experience with UI automation frameworks (Selenium, Playwright, or Cypress).
— Hands-on experience with API testing and automation (Postman, REST Assured, or requests).
— Understanding of basic testing concepts, methodology, and software development lifecycle (SDLC).
— Familiarity with Git version control.
— Basic understanding of CI/CD tools (GitHub Actions, GitLab CI, or Jenkins).
Conditions:
— Location: Remote within EU (must hold EU Citizenship, PR, or a valid EU Work/Residence Permit).
— Type: Full-time / B2B Contract.
— Fluent English (B2+/C1) is required.
Location: New York
Workplace: remote
⚡️ About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
Be the primary point of contact and build long-term relationships with customers.
Customer champion within Merkle Science who will work closely with the product team to advocate for key requirements of customers and identify new opportunities.
Develop a trusted advisor relationship with key accounts, customer stakeholders and executive sponsors.
Ensure the timely and successful delivery of our solutions according to customer needs and objectives.
Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders.
Forecast and track key account metrics.
Enhance department and organization's reputation by accepting ownership for accomplishing new and different requests.
Responsible for keeping current clients satisfied and delivering exceptional client service on a day-to-day basis.
Monitor and analyze customer's usage of our product.
Responsible for working with the Sales team to onboard and integrate new clients and developing existing client relationships.
Drive upsells within existing customer base.
Fluent in English.
At least 3 years of prior account management experience.
Previous compliance/web3/blockchain experience.
At least 1 prior early-stage startup experience.
Proven ability to upsell with exceptionally strong relationship and people management capabilities.
A creative problem solver, results driven and self-motivated.
Possesses a resilient personality and reacts well under pressure.
High emotional intelligence, well organized with the ability to prioritize workload and use time effectively.
Ability to handle changing requirements and unforeseen problems rapidly and positively
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
NU Case club (консалтинговый клуб при НУ) организует ивент с Mastercard для дата аналитиков и консультантов.
What to expect:
— Solve a business case and apply analytical thinking to a real-world problem
— Explore how data and analytics support business decisions at Mastercard
— Learn how Mastercard consultants approach structured problem-solving and data-driven decision-making
— Hear directly from Mastercard professionals about their projects, career paths, and day-to-day work
— Get an inside look at the Mastercard Launch Program
The Mastercard Launch Program is an 18-month graduate development program for recent Bachelor’s and Master’s graduates, combining full-time work with structured learning, mentorship, and professional development.
Career tracks include:
— Performance Analytics — data-driven insights, analytics, and business performance
— Strategy & Transformation — strategic problem-solving and business transformation
— Marketing — customer insights, marketing strategy, and data-informed decisions
Students from all majors are welcome! Whether you study Economics, Business, Data Science, Computer Science, Mathematics, or another field, this session is a great opportunity to explore how your analytical skills can translate into a career at Mastercard.
Location: London
Workplace: remote
About Merkle Science: Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
Responsibilities:
· Collaborate with Account Executives to ensure alignment of event marketing strategy with account plans.
· Plan, execute, and track all aspects of Merkle Science’s event presence globally to maximize lead generation and pipeline growth.
· Define marketing objectives and metrics for events. Conduct post-event evaluations, report progress towards goals, and recommend optimization strategies. Regularly measure event impact against KPIs to inform decision-making and enhance alignment with broader business goals.
· Ensure alignment with the overall business strategy by contributing to strategic development of event marketing plans.
· Manage event marketing budgets and report regularly on budget utilization and performance. Track budget costs and proactively communicate scope changes that affect the budget.
· Act as the point of contact and workstream leader for event marketing, supporting cross-functional teams and internal leaders. Collaborate with the Sales team to identify marketing-supported needs and potential gaps.
· Ensure that all logistical information for event attendees is clearly communicated and organized, including event schedules, locations, registration details, and any additional relevant information to facilitate a seamless event experience.
· Evaluate third-party opportunities and build vendor relationships to enhance market exposure, reduce cost, and ensure quality deliverables.
· Stay informed about overall business development strategies including partner and key account plans, advocating for alignment where necessary.
· Work alongside teams, suppliers, and other contributors through effective project management and collaboration to exceptional levels of execution of all assigned deliverables – on schedule and within budget.
Qualifications:
Minimum two years of experience in event marketing or field marketing. Knowledge in trade show project management is essential, from strategy, messaging, design, logistics, vendor management, budget, execution, to post-event analysis.
Experience operating within B2B or B2G marketing ecosystems preferred.
Proactive, self-motivated individual with excellent organizational and communication skills. Comfortable presenting strategy and results to senior leadership.
Ability to manage multiple priorities in a fast-paced environment.
Proficiency with Salesforce reporting and analysis of marketing funnel metrics.
Occasional travel required, less than 20%.
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Location: London
Workplace: remote
About Merkle Science: Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
Responsibilities:
· Collaborate with Account Executives to ensure alignment of event marketing strategy with account plans.
· Plan, execute, and track all aspects of Merkle Science’s event presence globally to maximize lead generation and pipeline growth.
· Define marketing objectives and metrics for events. Conduct post-event evaluations, report progress towards goals, and recommend optimization strategies. Regularly measure event impact against KPIs to inform decision-making and enhance alignment with broader business goals.
· Ensure alignment with the overall business strategy by contributing to strategic development of event marketing plans.
· Manage event marketing budgets and report regularly on budget utilization and performance. Track budget costs and proactively communicate scope changes that affect the budget.
· Act as the point of contact and workstream leader for event marketing, supporting cross-functional teams and internal leaders. Collaborate with the Sales team to identify marketing-supported needs and potential gaps.
· Ensure that all logistical information for event attendees is clearly communicated and organized, including event schedules, locations, registration details, and any additional relevant information to facilitate a seamless event experience.
· Evaluate third-party opportunities and build vendor relationships to enhance market exposure, reduce cost, and ensure quality deliverables.
· Stay informed about overall business development strategies including partner and key account plans, advocating for alignment where necessary.
· Work alongside teams, suppliers, and other contributors through effective project management and collaboration to exceptional levels of execution of all assigned deliverables – on schedule and within budget.
Qualifications:
Minimum two years of experience in event marketing or field marketing. Knowledge in trade show project management is essential, from strategy, messaging, design, logistics, vendor management, budget, execution, to post-event analysis.
Experience operating within B2B or B2G marketing ecosystems preferred.
Proactive, self-motivated individual with excellent organizational and communication skills. Comfortable presenting strategy and results to senior leadership.
Ability to manage multiple priorities in a fast-paced environment.
Proficiency with Salesforce reporting and analysis of marketing funnel metrics.
Occasional travel required, less than 20%.
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Location: London
Workplace: hybrid
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
What will you do?
· Key objectives include establishing Merkle Science as a thought leader in the US market and enabling the sales team to meet revenue targets
· Working closely with the sales team to identify core value proposition and differentiators and creating a strategy to communicate it at scale to potential customers
· Lead strategy for US market expansion by building on product messaging to set new products apart from others in the market to give Merkle a unique selling point
· Work across multiple channels to communicate Merkle Science’s value proposition and differentiators in the competitive market.
· Create sales tools and content such as case studies, videos, website copy and blog posts
· Collaborate with cross-functional teams for market research, user testing and interviews to discover market opportunities
· Coordinate closely with product management and engineering teams to determine product roadmap and establish go-to-market strategy for products
· Establish and iterate on go-to-market strategy to reach revenue targets
· Will manage his/her own team of designers and marketers.
What are we looking for?
o Fluent in English
o At least 2-4 years of prior marketing / product experience
o Prior startup experience or experience at a boutique firm is a big plus
o Previous compliance/finance/blockchain experience is a big plus
o Experience in analytical problem solving and quantitative analysis, including development of dashboards and reporting tools
o Ability to lead analyses, track metrics, build strategic insights and find creative ways to optimize performance
o Ability to work in a fast-changing, cross-functional environment, while maintaining an entrepreneurial approach and building rapport with ease.
Ability to take complex topics and create compelling narratives for different audiences.
o Excellent project management and stakeholder management skills.
o Excellent spoken, written, and presentation communication skills
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Location: Bangalore
Workplace: hybrid
⚡️ About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
Be the primary point of contact and build long-term relationships with customers.
Customer champion within Merkle Science who will work closely with the product team to advocate for key requirements of customers and identify new opportunities.
Develop a trusted advisor relationship with key accounts, customer stakeholders and executive sponsors.
Ensure the timely and successful delivery of our solutions according to customer needs and objectives.
Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders.
Forecast and track key account metrics.
Enhance department and organization's reputation by accepting ownership for accomplishing new and different requests.
Responsible for keeping current clients satisfied and delivering exceptional client service on a day-to-day basis.
Monitor and analyze customer's usage of our product.
Responsible for working with the Sales team to onboard and integrate new clients and developing existing client relationships.
Drive upsells within existing customer base.
Fluent in English.
At least 3 years of prior account management experience.
Previous compliance/web3/blockchain experience.
At least 1 prior early-stage startup experience.
Proven ability to upsell with exceptionally strong relationship and people management capabilities.
A creative problem solver, results driven and self-motivated.
Possesses a resilient personality and reacts well under pressure.
High emotional intelligence, well organized with the ability to prioritize workload and use time effectively.
Ability to handle changing requirements and unforeseen problems rapidly and positively
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
British workforce solutions & recruitment company is looking for a Legal Counsel with hands-on Employment Law & employment claims experience.
Задачи:
— Employment disputes & claims
— Contracts & compliance
— Commercial/pragmatic approach
Требования:
— UK or Cyprus qualification is a plus, not a must
Условия:
— Remote — Cyprus & locations within ~2h of UK time
— Permanent employment
— No visa sponsorship
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