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: 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: 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
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
We sell subscriptions and credit packs to consumers in over a hundred countries, and today almost all of it moves as cross-border card payments in USD. That has three consequences, and this role owns all three.
We are declined more than we should be. In some of our largest growth markets roughly one attempt in three fails, and a meaningful share of those are not "no money" — they are cross-border blocks, card limits, stale credentials on renewal, and issuers who do not recognise us.
We pay more than we should. Our blended cost of acceptance is the single largest line below compute, and the majority of the network component sits on transactions our processor classes as cross-border.
We are not on the rails our customers use. In two of our fastest-growing markets, the dominant local payment method is one we do not offer at all.
You own the measurement and the argument behind fixing all of it.
You make sure:
- We know our true authorization rate — at the unit the business actually cares about, not the one that is easy to compute
- Every basis point of payment cost has a name, a geography and an owner
- A decline is a diagnosis, not a statistic
- When we propose a new rail, a new entity or a new processor arrangement, the number underneath it holds up to Stripe's own analysis and to our board's
WHAT YOU WILL DO
Authorization & decline analysis
- Own authorization rate end to end: by country, issuer, BIN, card brand and funding type, plan price point, first payment vs renewal, and payment method.
- Build and maintain the decline taxonomy — what each decline code actually means, which are recoverable, which are terminal, and which are us rather than them.
- Measure at the right unit. An invoice that succeeds on the third retry is a success, not two failures and a success, and reporting it the other way has made teams optimise the wrong thing.
- Separate soft declines we can recover from hard declines we cannot, and put a number on the recoverable pool.
Cost of acceptance
- Own the blended take rate and its decomposition: interchange, scheme fees, processor markup, cross-border and currency-conversion components, disputes, and the fixed per-transaction pieces.
- Find where the cost actually sits. Averages hide it — the cost is concentrated by corridor, by card type and by whether the transaction is domestic.
- Build the evidence for commercial conversations with our processor, and keep it current enough to reuse.
Local payment methods, entities and routing
- Size the case for new rails market by market: what share of local commerce runs on them, what our current card performance costs us, and what we would realistically recover.
- Model merchant-of-record and local-acquiring arrangements against the alternative of our own entities, honestly — including the fee we would pay for the privilege.
- Design and read the experiments that prove it, with the product analytics team. A new payment method is an A/B test, not a launch.
Renewals, dunning and involuntary churn
- Own the retry and dunning strategy as a measurable system: when to retry, how often, through which rail, and when to stop.
- Quantify involuntary churn separately from voluntary. They look identical in a cancellation count and they need completely different fixes.
- Track the health of stored credentials — network tokens, card-account-updater coverage, expiring cards — because in a subscription business that is silent revenue leakage.
Disputes, refunds and reconciliation
- Own dispute and chargeback rates against network thresholds, with the lag handled properly — disputes arrive weeks after the charge and a same-period denominator understates you.
- Reconcile processor data to the revenue ledger and explain the differences rather than plugging them.
- Work with the antifraud team where disputes are abuse rather than genuine dissatisfaction.
HOW WE WORK
- SQL and Python on raw processor and billing data in BigQuery. We use AI heavily — resourcefulness beats syntax.
- Partner with Finance (the numbers get booked), Product (checkout and paywall), Engineering (the billing integration) and our processor's team directly.
WHO WE'RE LOOKING FOR
- 2+ years in payments analytics, payment operations, billing, or risk at a merchant, PSP, acquirer, or fintech. This is a domain role — general analytics experience without payments does not transfer quickly enough.
- Fluency in the actual mechanics: authorization vs capture vs settlement, decline codes, 3DS and SCA, network tokens and account updater, interchange and scheme fees, chargeback lifecycle, MCC, BIN, cross-border and DCC.
- Strong SQL, without help. Most of this job is joining sessions to intents to charges to invoices to refunds across imperfect keys and getting the denominator right.
- Python at working level for analysis.
- The instinct to check the unit of measurement before quoting a rate — per attempt, per invoice, per user, per session are four different numbers and only one of them answers the question.
- Comfort with subscription billing specifically: renewals, proration, plan changes, failed payments, dunning, involuntary churn.
- Commercial judgment: you can build the case for a rail or a rate and defend it against a vendor who does this for a living.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Payment operations or payments analytics at a consumer subscription, marketplace or gaming company
- Analysts from PSPs, acquirers, orchestration platforms or card networks
- Billing / revenue operations analysts who owned dunning and involuntary churn
- Risk or chargeback analysts who moved toward the acceptance side
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to own checkout UX or pricing — that is Product Analyst, and it is open
- Want to build fraud models — that is the Antifraud data scientist, and it is open
- Would report an authorization rate without saying what the denominator was
- Would take a processor's own analysis of their own performance at face value
- Need someone else to prepare the data
- 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: 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.
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.
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.
Key Responsibilities
Strategic Technical Partnership
: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
Joint Solution Development:
Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
Customer Deal Support:
Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Partner Ecosystem & Events
: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
Product Feedback:
Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
Preferred qualifications
5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Fluent in Japanese and English
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London Office; Ireland; United Kingdom
Workplace: Remote
The AI orchestration of your wildest imagination.
n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:
- Cultivated a community of more than 650,000 active developers and builders
- Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
- Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
We’re in a defining moment of an incredible journey. Come and build with us.
About the role
n8n is looking for an Enterprise Account Executive to own and grow a defined enterprise territory across Northern Europe (UK&I, Nordics & Benelux) building pipeline, landing net-new logos, and expanding strategic accounts.
You’ll run a full-cycle, consultative enterprise motion (FTE 2,500+): uncovering technical and business needs, aligning multiple stakeholders, guiding evaluations, and closing high-impact six/seven-figure deals.
This role is ideal for someone who can sell to technical buyers (developers are our ICP), thrives in fast-growing environments, and uses a structured methodology (e.g., MEDDIC/MEDDPICC) to drive predictable outcomes.
WHAT YOU’LL BE DOING
🎯 Own and exceed quarterly and annual revenue targets across a defined Northern Europe enterprise territory
🧭 Build pipeline proactively (≥50%+ sourced by you) through outbound prospecting and smart territory/account planning
🔎 Run deep discovery and qualification using MEDDIC/MEDDPICC—uncovering pain, impact, decision process, decision criteria, and confirming real evidence before you forecast
🧱 Manage the full sales cycle end-to-end: discovery, demos, technical validation/evaluation, proposals, procurement, and negotiations
🧠 Translate technical value into business outcomes—aligning n8n’s automation + AI capabilities to measurable efficiency, risk reduction, and speed-to-delivery
🤝 Orchestrate multi-threaded deals across stakeholders (champions, technical evaluators, security, procurement, and economic buyers) to keep momentum and reduce stall risk
📝 Create and drive mutual action plans with customers—clear next steps, milestones, and shared accountability from first meeting to signature
📈 Maintain rigorous pipeline hygiene, forecast accuracy, and account notes in CRM (Salesforce) communicating clearly and early about risks and next steps
🔗 Partner tightly with Solutions Engineering, SDRs, Marketing, RevOps, and Customer Success to accelerate deals and ensure strong handoffs for expansion
🌍 Represent n8n at events and in-market—building credibility with technical communities and enterprise leaders across Northern Europe (with customer travel as needed)
REQUIREMENTS
MUST-HAVES
🏆 Enterprise SaaS sales track record: 5+ years in quota-carrying roles with consistent overachievement in enterprise segments
🌍 Northern Europe market expertise: Existing network and proven success selling into Northern Europe enterprises (plus relevant languages)
🧩 Complex deal leadership: Proven ability to close multi-stakeholder deals with longer cycles, procurement/legal steps, and high scrutiny
🔎 Methodology-driven execution (MEDDIC/MEDDPICC): You use structured qualification to build high-confidence pipeline and accurate forecasts
🗣️ Executive + technical buyer fluency: You can engage C-level stakeholders and also win credibility with technical audiences (DevOps, SecOps, IT Ops etc.)
🧠 Consultative selling: You lead with customer outcomes, ask sharp questions, and tailor your narrative to the customer’s reality—not a generic pitch
📊 Operational discipline: Strong CRM hygiene, forecast rigor, and a habit of using evidence to drive next steps and internal alignment
🤝 Collaboration mindset: You work smoothly with SE/CS/Marketing/RevOps and elevate the whole deal team, not just your own activity
NICE-TO-HAVES
🧑💻 Open-source / community experience: You’ve sold in or alongside open-source ecosystems and understand bottoms-up adoption and PLG signals
🧪 Selling technical workflow/automation products: Experience with integration, API-first platforms, DevOps/SecOps/IT Ops, or adjacent categories
🚀 Early-stage / scale-up experience: You’ve helped build pipeline and playbooks in a fast-growing environment where process is evolving
n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
We can sponsor visas to Germany; for any other country, you need to have existing right to work.
Our company language is English.
You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).
Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.
BENEFITS
- Competitive compensation 💸 – We offer fair and attractive pay.
- Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
- Work/life balance 🏖️ – We work hard but ensure you have time to recharge:
- Europe: 30 days of vacation, plus public holidays wherever you are.
- US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
- Health & wellness 🩺 –
- Europe: We provide benefits according to local country norms.*
- US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
- Future planning 💰 –
- Europe: We provide pension contributions according to local country norms.*
- US: 401(k) retirement plan with a 4% employer match.
- Financial security 🛡️ –
- Europe: We provide benefits according to local country norms.*
- US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
- Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
- A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
- Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
- Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.
- Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.
*Country and/or State specific details provided in your employment agreement.
Location: Amsterdam
Workplace: OnSite
About Us
Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights.
Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Italy, Spain, Germany, Denmark and Finland already love running on Tebi.
About the Role
Tebi is entering its scale-up phase of growth: opening new entities, launching new (financial) products and growing fast. Our Finance team is looking for a new member with 2-4 years of experience who will help build processes and structure to take us further, contribute towards a successful first-year audit in 2027 and help drive our growth.
You will play a key role in our financial close and reporting, help lay the groundwork for the control framework, and support new entities as we open them. We’re looking for someone who thrives in an unstructured environment, is comfortable with ambiguity, and is passionate about automation to make finance run smarter. You will work closely with product, commercial and leadership teams.
What You'll Do
- Own key parts of the monthly financial close, ensuring accuracy and timeliness
- Be an important control point, safeguarding the integrity of our financial reporting
- Support the setup of financial processes and controls as we open new entities and work towards audit-readiness
- Help design and build Tebi's control framework
- Identify and implement opportunities to automate financial processes and support Tebi’s growth
- Partner with our external auditors and manage the audit process for your areas
- Turn financial data into insights that help the business make better decisions
- Continuously improve and standardize processes as Tebi scales
What You'll Need
- 2-4 years of experience in financial control, accounting, or external audit (max 6 years of experience)
- You thrive in an unstructured, fast-changing scale-up environment and don't need everything mapped out to make progress
- A natural drive to standardize and improve processes, balanced with pragmatism about what's needed now versus later
- Savvy with automation and AI tools, and genuinely interested in using them to work more efficiently
- Solid grounding in accounting principles and financial reporting
- Sharp attention to detail combined with strong problem-solving skills
- Clear, confident communication, comfortable working closely with teams across the business
If this speaks to you we can be the right fit. Learn more about how we work from our Recipe here: https://www.tebi.com/gb/careershttps://www.tebi.com/de/careers.
Benefits
- Start-up Equity
- Competitive Salary
- Lunch in the Office
- Flexible Time-off
- Team Events
What is Restaurant Software?
Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it.
From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy.
How we use AI at Tebi
We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed.
At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn’t make the last call. If there's a smarter way to do something, we want to find it.
Location: Singapore, APAC
About the Role
iCapital Network is seeking an Associate for the International Client Solutions Asia Pacific team to contribute to the development and execution of iCapital’s international expansion strategy in the region.
In this role, you will support the relationship management and business development activities of iCapital with a primary focus on Banks/Wealth Managers. iCapital’s rapid international expansion creates an opportunity for a seasoned professional to join a fast-paced, rapid-growth environment.
Responsibilities
Support the management and growth of relationships with Private Banks, Wealth Managers, and Multi-Family Offices across the Southeast Asia region.
Assist in delivering a consultative client experience by identifying opportunities to deepen engagement across iCapital's platform and solutions.
Coordinate and support internal projects, helping to develop processes, tracking tools, and operating frameworks for the team.
Prepare client presentations, reports, and analyses to support business development and relationship management activities.
Develop a strong understanding of private markets and alternative investments and effectively communicate iCapital's solutions and capabilities to clients and partners.
Partner with cross-functional teams, including product, operations, legal, compliance, and fund management teams, to support fund launches and strategic initiatives.
Gather and share market intelligence, including competitive developments, investor trends, and client feedback, with internal stakeholders.
Manage day-to-day client requests and follow-ups, ensuring timely execution and a high standard of client service.
Support relationship managers in identifying opportunities for client expansion, increased platform adoption, and deeper client engagement.
Collaborate with Client Solutions colleagues globally on initiatives related to client development, coverage strategy, and best practices.
Qualifications
Solid academic credentials in relevant field
3+ years of solid work experience in the Asset- or Wealth Management industry, with a demonstrated track record in developing and managing client relationships is a must.
Adequate exposure to Private Equity and/or other Private Markets asset classes, and an understanding of the distribution model is highly preferred.
Entrepreneurial approach to managing projects with excellent problem-solving and analytical skills
Excellent presentation and verbal/written communication skills with demonstrated capabilities to build trust, and strategically manage and influence stakeholders at all levels
Familiar with AI tools and modern CRM platforms such as Salesforce, and comfortable using them to improve productivity, client coverage and reporting
Highly collaborative, and able to think strategically about business opportunities and client management
Ability to work independently with a strong appetite to work in a fast growing, entrepreneurial environment, are self-motivated, with a hands-on attitude
Fluency in English required; ability to speak other Asian languages are a strong asset
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
For additional information on iCapital please visit
https://www.icapital.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: Lisbon, Portugal
About the Role
We are seeking an experienced UiPath RPA Developer with strong Python skills to join our automation team. The ideal candidate will have hands-on experience designing and deploying UiPath automation solutions, combined with deep Python proficiency for building custom integrations, scripts, and data processing pipelines. You will work closely with business analysts, solution architects, and cross-functional teams to deliver end-to-end automation that drives operational efficiency.
Responsibilities
Design, develop, and deploy UiPath RPA workflows and automation solutions across attended and unattended processes.
Write clean, efficient Python scripts and custom UiPath activities to extend automation capabilities and integrate with external systems.
Analyze, debug, and optimize existing UiPath workflows and Python-based automation components to improve reliability and performance.
Collaborate with business stakeholders to gather process requirements, conduct feasibility assessments, and translate manual workflows into automated solutions using UiPath Studio.
Build and maintain Python-based integrations with REST APIs, web services, and data pipelines that complement UiPath automation workflows.
Develop and maintain test frameworks using UiPath Test Suite and Python (pytest) to ensure automation reliability and quality across deployments.
Manage and monitor robots via UiPath Orchestrator, including scheduling, queue management, alert configuration, and performance reporting.
Maintain version control of UiPath projects and Python code using Git, and support CI/CD pipelines for automated deployment of RPA solutions.
Leverage Python for web scraping, data transformation, and pre/post-processing tasks that feed into or extend UiPath automation pipelines.
Interact with AWS services (S3, Lambda) and other cloud infrastructure to support scalable, cloud-based RPA deployments.
Stay updated with emerging technologies and contribute ideas for improvements.
Qualifications
Education:
Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience).
Experience:
3+ years of UiPath RPA development experience, with at least 2 years of strong Python programming skills.
Technical Skills:
Strong proficiency in UiPath Studio, UiPath Orchestrator, and UiPath Test Suite; UiPath RPA Developer certification preferred.
Advanced Python skills including scripting, automation, data manipulation (pandas, NumPy), and API integration.
Experience with web scraping tools (e.g., Playwright, Selenium) for browser automation and integration with UiPath workflows.
Basic knowledge of SQL and database concepts (e.g., PostgreSQL, MySQL).
Experience with version control systems (e.g., Git).
Understanding of REST APIs and JSON.
Familiarity with AWS services, especially Lambda functions and S3 buckets.
Experience building custom UiPath activities or integrations using Python or .NET to extend native UiPath capabilities.
Familiarity with Linux/Unix environments.
Soft Skills:
Strong problem-solving and analytical skills.
Ability to work collaboratively in a team environment.
Good communication skills and a willingness to learn.
Attention to detail and commitment to quality.
Preferred Skills:
UiPath Advanced RPA Developer or Solution Architect certification.
Experience with cloud platforms (AWS, Azure, GCP) for deploying and scaling RPA infrastructure.
Familiarity with process mining or task capture tools (e.g., UiPath Process Mining, Task Capture) for identifying automation opportunities.
Experience with Agile/Scrum methodologies and automation CoE (Center of Excellence) governance practices.
Knowledge of containerization (Docker) and CI/CD tooling (Jenkins, GitHub Actions) for automated RPA deployment pipelines.
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
As an Deployment Architect, you will be the force behind successful deployments at Hightouch. Working in close partnership with an account team and the Hightouch product team, you will own the full deployment and enablement lifecycle for Hightouch customers.
Location: San Francisco
Workplace: OnSite
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten is growing fast, and how we hire shapes what we become. As our Recruiting Operations Program Manager, you'll find where the recruiting team is losing time or quality, confirm it with data, and build and run the program that fixes it. Some of that work is quick, like a data pull for leadership or an Ashby answer for a recruiter. Some of it spans months and needs executive buy-in.
You'll identify, build and own programs end to end, from redesigning core recruiting processes to building and shipping AI-powered tools that change how our recruiters work every day. You'll work across Ashby, Notion, Slack, and Claude, and treat AI as a core part of how recruiting runs.
RESPONSIBILITIES
- Break large, ambiguous problems into clear phases, owners, and deadlines, and drive them through to adoption, not just launch.
- Lead large-scale recruiting programs end to end: secure leadership buy-in, manage timelines across stakeholders, and use data to decide what to change and how to measure it.
- Analyze interview plans, pass-through rates, stage timing, and interviewer load in Ashby, and turn findings into concrete recommendations.
- Own data hygiene and job setup consistency across the pipeline so leadership can trust recruiting reporting, and build the dashboards and reports the team relies on.
- Support operational asks from recruiters and leadership, and turn repeated asks into self-serve tools or documented answers.
- Build, pilot, and iterate on Claude-powered tools and workflows that solve recurring pain points across the recruiting team.
- Keep recruiting documentation – including interview guides, playbooks, SOPs, and training material – current, monitored, and easy to find.
- Propose and roll out process changes that make recruiting faster and more consistent, including the comms and training that make them stick.
REQUIREMENTS
- 3+ years in recruiting operations, program management, or a related operations role at a fast-growing company.
- Track record of running cross-functional projects end to end, including getting buy-in from senior leaders.
- Comfort pulling, analyzing, and presenting data, and turning it into clear recommendations.
- Clear, concise writing, including for executive audiences.
- Strong prioritization skills, with the ability to balance long-running programs with day-to-day asks.
NICE TO HAVE
- Hands-on Ashby experience, especially reporting and dashboards, or deep experience with another ATS, including using data and metrics to drive decisions and set priorities.
- Experience building workflows or tools with AI (Claude, ChatGPT, or similar).
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
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УдалённоNew York
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