Вакансии

Day-to-day, the Packaging Designer leads packaging systems from concept through production, extends the brand's visual system across retail displays and campaign assets, and presents concepts to internal stakeholders and clients. Lead packaging systems from concept through production across multiple product categories.

🌸Fraud Monitoring: Use advanced fraud detection tools and technologies to monitor user activity and identify suspicious behavior in real time. 🌸Fraud Investigation: Investigate fraudulent activity by analyzing patterns, trends, anomalies, and connections between individual or groups of operations.

Location: Warsaw, Mazowieckie, Poland; Dubai; London, England, United Kingdom Workplace: remote Capital.com is hiring a UA Manager (PPC) to own paid acquisition performance across our Asia and Australia markets. You'll join a team of regional specialists with day-to-day accountability for campaign performance, budget efficiency, and growth against regional revenue and ROAS targets. This is a hands-on, individual-contributor role: you will manage live campaigns directly, not oversee an agency at arm's length. Google Ads is the core of the role; paid social experience is a valuable bonus but not a requirement. What you'll do: Own and optimise Google Ads (Search, PMax, UAC, Display, YouTube) campaigns across Asia and Australia markets — this is the primary focus of the role. Where capacity and skillset allow, extend into paid social (Meta, TikTok, Snapchat) to support the broader regional media mix. Manage budget pacing and reallocation across markets and channels within your regions. Deliver against regional KPI targets: ROAS and CPA per first-time deposit. Run structured A/B tests on creative, bidding strategy, and audience targeting; report results with clear before/after evidence. Monitor and account for iOS attribution limitations (ATT/SKAD), PMax's lack of placement-level visibility, and regional regulatory constraints (e.g. licensing regimes across Asia markets) when planning campaigns. Localise campaign strategy to market nuance: language, competitive landscape, regulatory regime (e.g. ASIC in Australia; varied licensing across Asia markets), and payment/funding behaviour. Partner with regional marketing and compliance stakeholders on creative sign-off and go-to-market timing. Liaise directly with Google (and, where relevant, Meta/TikTok/Snapchat) account teams on platform features, budget commitments, and escalations. Maintain a weekly reporting cadence on spend, revenue, ROAS, and CPA for your regions, flagging anomalies before they show up in monthly numbers. What we're looking for: 3+ years of hands-on PPC management, with fintech, trading, or regulated financial services experience is a must have. You understand compliance-driven creative constraints, deposit-based KPIs, and CFD/trading audience behaviour — this is not transferable from a generic e-commerce or app-growth background without a steep ramp-up. Direct, deep platform experience in Google Ads (Search, PMax, UAC) — this is the core requirement. Paid social platform experience (Meta, TikTok, Snapchat Ads Manager) is a strong bonus, not a requirement. Working knowledge of mobile attribution constraints (iOS ATT/SKAD, modelled vs deterministic conversion data). Comfort operating across multiple markets and currencies simultaneously; prior exposure to APAC or ANZ paid media specifically is a strong plus. Analytical fluency: able to read a performance dashboard and turn it into a budget or bidding decision without hand-holding. Experience working within a regulated advertising environment (financial promotions rules, regional ad standards bodies) is a plus; willingness to learn the company's compliance doctrine is a requirement. Fluent written and verbal English ; additional Asia-region language skills (Mandarin, Vietnamese, Bahasa) are a plus but not required.

Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As a Data Engineer , you will play a crucial role in our data team, contributing to developing and maintaining data pipelines and systems. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for decision-making and analytics. Your responsibilities will encompass data ingestion, transformation, and delivery, as well as maintaining and optimizing data infrastructure. The Data Engineer is expected to contribute to developing and maintaining data infrastructure, ensuring data reliability and availability. You should be able to work independently and as part of a team, adapting to changing data needs and collaborating with data professionals to provide valuable insights to the organization. Staying current with data engineering best practices and emerging technologies is essential for success in this role. Responsibilities: Design, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability. Data Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency. Implement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment. Monitor and address data quality issues, implement data validation processes, and establish data governance practices. Manage and optimize data storage, processing, and distribution systems, ensuring scalability and performance. Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and deliver solutions that meet business needs. Document data engineering processes, pipelines, and systems to maintain clear and accessible knowledge for team members. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Minimum of 3 years of experience in data engineering or a related field. Proven experience with Redshift and Snowflake. Experience with DBT. Experience with Apache Airflow for workflow orchestration. Proficiency in Python for data pipeline development and scripting. Experience with AWS cloud services, including S3, EC2, and EMR. Familiarity with Kafka for real-time data streaming. Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker). Project management skills using Jira or similar tools. Ability to collaborate effectively with cross-functional teams and understand business data needs. Strong problem-solving skills, a proactive approach to troubleshooting data issues, and critical thinking abilities. Adaptable and open to learning new technologies and methodologies. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: Nairobi Workplace: onsite The Role:    We are looking for a driven and strategic Business Development Officer to support international growth and strengthen our market presence across multiple countries. The role focuses on business expansion, relationship management, and execution of growth strategies aligned with corporate objectives. The main responsibilities of the position include: Set and support departmental KPIs in line with corporate targets and develop action plans to achieve them Support market penetration and expansion strategies across existing and new countries of operation Build and maintain strong relationships including regular meetings and ongoing engagement Identify new business opportunities and contribute to the development of tailored strategies per market Promote company products and services, ensuring strong knowledge of competitor offerings Participate in events, seminars, and promotional activities across different countries Prepare presentations, reports, and market analyses to support decision-making Coach, motivate, and develop team members to ensure high performance Main requirements: BSc in Business Administration or any Business-related field Proven experience in business development, client/partner relations or similar role. Fluent Swahili speaker with excellent oral and written skills in English Self-motivated and results driven Ability to cope under pressure Strong communication and interpersonal skills, with the ability to influence key stakeholders Excellent client handling, problem solving and negotiation skills Good management and leadership skills Computer literate Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.

Location: Paris Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organisation efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. As Voodoo continues to grow, we are transforming the way Finance uses data and technology. Our ambition is to move from fragmented, spreadsheet-heavy workflows to a modern, reliable, and increasingly automated Finance data platform.   ROLE We're looking for a Finance Data Engineer to join our Corporate team. In this role, you'll own the technical transformation of Finance by building the data foundations, pipelines, and internal tools that enable Finance teams to operate more efficiently and make better decisions. Reporting to the CFO, you will work closely with Finance stakeholders and Voodoo's central Data team, combining data engineering, business understanding, and product thinking to turn complex Finance needs into reliable and maintainable solutions. - Define and drive the roadmap for Finance data, automation, and internal tooling - Build and progressively scale Voodoo's Finance data platform, prioritising the use cases that create the greatest business value - Migrate critical data transformations and workflows from spreadsheets and legacy tools to tested, documented, code-based solutions - Create reliable data models and pipelines for Finance reporting, analysis, forecasting, and operational processes - Establish strong standards for data quality, observability, documentation, security, and access management - Partner closely with Accounting, FP&A, Controlling, Treasury, and other Finance stakeholders to translate their needs into scalable technical solutions - Collaborate regularly with Voodoo's Data leadership and engineering teams to align on architecture, tooling, and best practices - Build intuitive dashboards and internal applications that allow Finance teams to explore data and manage workflows independently - Identify AI and automation opportunities, take them from prototype to production, and measure the value they create - Help Finance teams adopt data and AI tools effectively through documentation, training, and day-to-day support   PROFILE - Significant experience in data engineering, analytics engineering, or a closely related role, including ownership of production-grade data solutions - Proven track record of building or substantially improving a modern data platform or analytics stack - Highly proficient in SQL and comfortable building production systems in Python - Strong software-engineering practices applied to data work: testing, version control, code review, documentation, and monitoring - Solid understanding of core corporate Finance and accounting concepts; familiarity with French accounting principles is a strong advantage - Ability to translate ambiguous business needs into clear, pragmatic technical solutions - Comfortable working autonomously, prioritising competing needs, and delivering value incrementally - Strong communication skills with both technical and non-technical stakeholders, in French and English - Curious about the evolving data and AI ecosystem — you test new approaches on real problems and form your own point of view - Rigorous, detail-oriented, and focused on measurable outcomes; pragmatic in technology choices, knowing when to build, adopt open-source, or buy commercial solutions Nice to have: - Experience building tools or data products for Finance teams - Experience deploying AI agents or AI-enabled workflows into production - Familiarity with the mobile gaming, consumer apps, advertising, or digital analytics ecosystem - Experience operating data infrastructure on AWS   OUR STACK - Cloud: AWS - Languages: Python, SQL, Scala - Transformation & orchestration: dbt, Airflow, Spark - Query engines: Athena, StarRocks - Infrastructure: Terraform, Kubernetes - Internal applications: Streamlit - AI-assisted development: Claude Code, MCP-based internal tooling   BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

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

* Design, create, and maintain automated test scripts (UI & API). * Integrate test automation suites into CI/CD pipelines.

Location: Beijing Workplace: OnSite ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.   TEAM As a French tech leader and global successful company, our Talent Acquisition teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. The main focus of the team is to understand how the business strategy will impact our hiring plan, and provide support to find and attract our new talents. You will be working on highly scalable mobile games, played by millions of people. You will be part of a small and high-performing Talent team and will have the opportunity to grow your skills by hiring A-Players all around the world.   ROLE The Talent Acquisition Lead owns all Gaming hiring in China, from intake with hiring managers to signed offers, and builds the local channels Voodoo is missing today. You are expected to work with a high level of autonomy, as the only recruiter on the ground, while following the Gaming TA team's standards and tools. - Activate your network. Tap into your existing relationships across China's gaming ecosystem to surface passive talent who isn't on anyone else's radar. (game development, art and product/design roles) - Hunt down hard-to-reach profiles. Go beyond job boards and LinkedIn, think creatively about how to identify and engage with targeted talent. - Run full-cycle recruitment: intake meetings, job posts, sourcing, screening, interview coordination across China and Paris time zones, and offers. - Be our Beijing antenna. Map the competitive landscape, flag emerging talent, and help us build a strong employer brand on the ground. - Collaborate tightly with the global TA team. Provide clear, structured feedback on sourcing progress, candidate sentiment, and local market dynamics so we can move fast and smart. - Keep our ATS (Ashby) and reporting accurate, initiate AI & performance improvement projects   PROFILE - Deep roots in Chinese gaming. Solid hiring experience in the gaming industry, with a genuine understanding of the studios, the talent, and the market dynamics. - A natural connector. The kind of person whose calls get answered and whose messages get replies, because relationships come first. - Creative, relentless sourcing instincts. No waiting for inbounds. Community groups, events, referrals, unconventional channels, every stone gets turned. - Bilingual fluency in Mandarin and English. Able to engage candidates locally and collaborate seamlessly with a global team. - Autonomous and rigorous. Comfortable owning the local strategy independently, collaborating with the Parisian team. - Built for fast-paced environments. At ease with ambiguity, tight timelines, and shifting priorities.

Location: Ljubljana, Slovenia Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. At Aleph, we're committed to ensuring that all of our customers' and partners' data is protected and that our work complies with data protection legislation across the markets we operate in — including as AI regulation reshapes that landscape. We're looking for an experienced AI Tech and Data Privacy Associate Manager (or Manager, depending on experience), to join our global team and help manage sensitive information, support contract preparation, carry out data protection assessments, and advise on the growing intersection of AI governance and privacy compliance across our global footprint. What You Will Do Advise on and support the practical implementation of legal requirements across all AI risk categories (e.g., under the EU AI Act — prohibited, high-risk, limited-risk, and minimal-risk systems), including risk classification, compliance obligations, and coordination with product and tech teams. Monitor emerging AI regulations more broadly and advise on their intersection with data protection across our markets. Advise the business on responsible AI governance and internal AI use policies. Advise, coordinate, and support colleagues across the business on data protection and privacy compliance issues, including in non-EU markets. Collaborate on internal audits at Aleph Group level in the field of data protection. Help prepare reports, presentations, and educational materials on data protection, privacy, and AI compliance topics. Participate in data protection, privacy, and AI-related legal projects. Promote a strong culture of data protection and responsible AI compliance across Aleph. Support AI-related technology projects, including API integrations with third-party AI providers, ensuring data protection, IP, and contractual compliance throughout implementation. Negotiate and draft agreements related to AI/technology procurement (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Coordinate with product, tech, and other teams to assess IP, confidentiality, and data protection risks before onboarding new AI tools or vendors. Organize and maintain data protection records and related documentation at a global level. Support the preparation of contracts with business partners and other legal documents (for example, internal policies) in the field of data protection and GDPR compliance. Carry out Data Protection Impact Assessments (DPIAs) together with the wider team. Take on other ad hoc legal and compliance-related tasks as needed. What We Are Looking For A degree in Law. Minimum 4–6 years of hands-on experience in data privacy and compliance, with a strong focus on GDPR — this is not an entry-level role. Solid expertise in data privacy laws and practices, including a deep understanding of GDPR. Hands-on experience completing legal/compliance requirements for the implementation of AI systems across all risk categories (e.g., under the EU AI Act), including but not limited to high-risk systems — this is a requirement, not just a plus. Working knowledge of AI-related legal and regulatory frameworks more broadly. Demonstrated ability to research and apply data privacy requirements in non-EU markets (LATAM, APAC, and/or MEA), given our global operating footprint. Proficient English communication skills, written and verbal — this is a must. A tech-oriented mindset, genuine curiosity about how AI and emerging technologies intersect with privacy law, and strong motivation to continuously learn new legal frameworks and compliance tools. Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus. Practical experience negotiating and drafting technology/AI related agreements (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Why Join Aleph Shape data protection and AI governance practice at scale: your work will directly protect the trust of Aleph's customers and partners across a global footprint spanning Europe, LATAM, APAC and MEA. Apply AI compliance expertise at scale: you'll drive real implementation work across the full spectrum of AI risk categories as regulation matures, not just policy-watching. Build deep expertise fast: exposure to DPIAs, cross-border data transfers, AI risk assessments, and multi-jurisdictional privacy frameworks gives you a faster path to becoming a recognized privacy expert than most single-market roles. Join a growing, collaborative legal team based in Warsaw that values mentorship and hands-on learning over hierarchy. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. The minimum gross annual base salary is EUR 39,000, with the final level (Associate Manager or Manager) and offer reflecting your experience, skills, and scope of the role. In addition to base salary, this role includes a variable component, paid annually. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity Our mission is to drive user growth and engagement across global markets by building a scalable growth platform — the shared campaign engine, task and incentive systems, loyalty programs, and ToB operational tooling that power growth for every business line at OKX — and by unlocking acquisition through diversified channels including SEO, ASO, affiliate, referral, and paid. As the Growth Platform Product Lead, you will own the product vision and roadmap for our growth middle-platform, lead a team of product managers, and act as the central partner to business, channel, and regional stakeholders who rely on the platform to hit their growth targets. This is a leadership role for someone who has built growth infrastructure at scale and knows how to turn a fragmented set of campaign tools into a unified, self-serve growth system. What You’ll Be Doing Own the Growth Platform Strategy Define the multi-year vision and roadmap for the growth middle-platform: campaign engine, task/mission system, rewards and incentive infrastructure, loyalty and tiering, user segmentation and targeting, and the ToB configuration and analytics layer that operators use daily. Set platform standards for reusability, configurability, and time-to-launch so that new growth activities can be shipped by business teams without bespoke engineering. Balance platform investment against business-line requests, and make clear, well-communicated prioritization calls. Build the Platform Lead the design and delivery of ToC growth products (campaigns, tasks, mega sales, loyalty) and the ToB capabilities behind them (campaign configuration, rules engine, budget and risk controls, reporting). Drive experimentation infrastructure and growth analytics so that every campaign is measurable, comparable, and optimizable. Leverage AI tools and automation to shorten experimentation cycles, surface insights faster, and scale growth operations with fewer manual touchpoints. Enable Channel Growth Partner with channel owners across SEO, ASO, referral, affiliate, and paid to translate channel-specific funnel needs into platform capabilities. Identify high-leverage channel opportunities and build the platform features that amplify channel performance across markets. Manage Stakeholders Across the Organization Serve as the single point of accountability for the growth platform with Trading, Listing, Paid Ads, Content, Affiliate, Referral, regional growth teams, and risk/compliance. Establish intake, prioritization, and governance processes that keep dozens of concurrent stakeholders aligned and informed. Influence senior leadership on platform investment, trade-offs, and sequencing; resolve conflicts between business urgency and platform integrity. Lead and Grow the Team Manage, coach, and develop a team of product managers; set clear goals, review work quality, and build a high-performance culture. Raise the bar on PM craft across the team: problem framing, data literacy, spec quality, and cross-functional execution. What We Look For In You 5+ years of product management experience , including 2+ years managing product managers and owning a multi-quarter roadmap. Deep growth middle-platform experience : you have designed and shipped a campaign engine, task/mission system, incentive or rewards platform, loyalty program, or comparable shared growth infrastructure that served multiple business lines. Proven platform thinking : track record of consolidating scattered, one-off growth tools into a reusable, configurable, self-serve system, and of measuring the efficiency gains that resulted. Exceptional stakeholder management : demonstrated ability to run intake and prioritization across many competing internal customers, manage up to executive leadership, and hold the line on platform trade-offs without losing partner trust. Strong data and analytics fluency : comfortable defining campaign and platform metrics, reading experiment results, and using data to settle prioritization debates. Large-scale delivery : experience navigating complex cross-team dependencies in a fast-moving, global organization. High learning velocity : able to rapidly internalize new domains — crypto, regional markets, new channels — and connect product, data, and market signals into actionable strategy. Nice-To-Haves Experience in crypto, fintech, or other regulated consumer products where growth mechanics must satisfy risk and compliance constraints. Hands-on experience with SEO and/or ASO strategy, including keyword optimization, app store listing optimization, and organic growth levers. Experience building ToB operational platforms or internal tooling used by non-technical operators at scale. Experience applying AI/LLM tooling to growth operations, analytics, or PM workflows. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity Our mission is to drive user growth and engagement across global markets by building a scalable growth platform — the shared campaign engine, task and incentive systems, loyalty programs, and ToB operational tooling that power growth for every business line at OKX — and by unlocking acquisition through diversified channels including SEO, ASO, affiliate, referral, and paid. As the Growth Platform Product Lead, you will own the product vision and roadmap for our growth middle-platform, lead a team of product managers, and act as the central partner to business, channel, and regional stakeholders who rely on the platform to hit their growth targets. This is a leadership role for someone who has built growth infrastructure at scale and knows how to turn a fragmented set of campaign tools into a unified, self-serve growth system. What You’ll Be Doing Own the Growth Platform Strategy Define the multi-year vision and roadmap for the growth middle-platform: campaign engine, task/mission system, rewards and incentive infrastructure, loyalty and tiering, user segmentation and targeting, and the ToB configuration and analytics layer that operators use daily. Set platform standards for reusability, configurability, and time-to-launch so that new growth activities can be shipped by business teams without bespoke engineering. Balance platform investment against business-line requests, and make clear, well-communicated prioritization calls. Build the Platform Lead the design and delivery of ToC growth products (campaigns, tasks, mega sales, loyalty) and the ToB capabilities behind them (campaign configuration, rules engine, budget and risk controls, reporting). Drive experimentation infrastructure and growth analytics so that every campaign is measurable, comparable, and optimizable. Leverage AI tools and automation to shorten experimentation cycles, surface insights faster, and scale growth operations with fewer manual touchpoints. Enable Channel Growth Partner with channel owners across SEO, ASO, referral, affiliate, and paid to translate channel-specific funnel needs into platform capabilities. Identify high-leverage channel opportunities and build the platform features that amplify channel performance across markets. Manage Stakeholders Across the Organization Serve as the single point of accountability for the growth platform with Trading, Listing, Paid Ads, Content, Affiliate, Referral, regional growth teams, and risk/compliance. Establish intake, prioritization, and governance processes that keep dozens of concurrent stakeholders aligned and informed. Influence senior leadership on platform investment, trade-offs, and sequencing; resolve conflicts between business urgency and platform integrity. Lead and Grow the Team Manage, coach, and develop a team of product managers; set clear goals, review work quality, and build a high-performance culture. Raise the bar on PM craft across the team: problem framing, data literacy, spec quality, and cross-functional execution. What We Look For In You 5+ years of product management experience , including 2+ years managing product managers and owning a multi-quarter roadmap. Deep growth middle-platform experience : you have designed and shipped a campaign engine, task/mission system, incentive or rewards platform, loyalty program, or comparable shared growth infrastructure that served multiple business lines. Proven platform thinking : track record of consolidating scattered, one-off growth tools into a reusable, configurable, self-serve system, and of measuring the efficiency gains that resulted. Exceptional stakeholder management : demonstrated ability to run intake and prioritization across many competing internal customers, manage up to executive leadership, and hold the line on platform trade-offs without losing partner trust. Strong data and analytics fluency : comfortable defining campaign and platform metrics, reading experiment results, and using data to settle prioritization debates. Large-scale delivery : experience navigating complex cross-team dependencies in a fast-moving, global organization. High learning velocity : able to rapidly internalize new domains — crypto, regional markets, new channels — and connect product, data, and market signals into actionable strategy. Nice-To-Haves Experience in crypto, fintech, or other regulated consumer products where growth mechanics must satisfy risk and compliance constraints. Hands-on experience with SEO and/or ASO strategy, including keyword optimization, app store listing optimization, and organic growth levers. Experience building ToB operational platforms or internal tooling used by non-technical operators at scale. Experience applying AI/LLM tooling to growth operations, analytics, or PM workflows. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Scottsdale, Arizona Workplace: onsite Park IP, a Welo Global brand, is a global IP solutions partner built for modern intellectual property work. The company enables legal teams to protect intellectual assets with accuracy, clarity, and confidence across jurisdictions. Trusted by Am Law 200 firms and Fortune 500 corporate legal departments, Park IP combines deep IP expertise with AI-powered workflows that reduce risk, improve predictability, and deliver greater visibility and control across the IP lifecycle, from prosecution to litigation and compliance. Its Legal Studio platform strengthens portfolio management through jurisdiction-specific coordination and real-time oversight, while experienced IP professionals remain accountable for quality and judgment. Operating under ISO-aligned quality and security standards, Park IP advances a disciplined and transparent approach to managing intellectual property worldwide. parkip.com  ROLE OVERVIEW The Regional Sales Manager is responsible for leading the commercial strategy and sales performance across an assigned region, driving sustainable revenue growth through both new business acquisition and expansion of existing client relationships. As a member of the global Park IP Commercial organization, this role combines people leadership, sales management, and strategic business development to achieve regional revenue objectives. The RSM leads, coaches, and develops a high-performing sales team while maintaining executive relationships with key customers and supporting complex commercial opportunities. Working closely with Marketing, Operations, Solutions, and Executive Leadership, the role ensures consistent execution of the sales strategy and delivers an exceptional customer experience. Travel will be required to support client meetings, industry events, and business development activities.   MAIN RESPONSIBILITIES  Lead, coach, and develop a high-performing regional sales team, fostering a culture of accountability, collaboration, and continuous improvement. Establish clear sales objectives, monitor performance against KPIs, and support team members in achieving or exceeding individual and regional revenue targets. Conduct regular pipeline reviews, sales coaching sessions, and performance discussions to maximize team effectiveness. Support recruitment, onboarding, and ongoing development of sales talent. Develop and execute the regional sales strategy aligned with global commercial objectives. Drive new business acquisition while identifying opportunities to expand existing customer relationships. Support the team in managing complex enterprise opportunities and participate directly in strategic sales engagements when required. Ensure consistent achievement of regional sales quotas, pipeline generation, and revenue growth objectives. Build executive-level relationships with strategic clients, partners, and key decision-makers. Support the team in developing tailored commercial solutions that address customer business challenges. Oversee the successful execution of major proposals, contract negotiations, and commercial agreements. Act as an executive sponsor for key customer relationships where appropriate. Partner with Operations, Solutions, Program Management, Marketing, and Executive Leadership to deliver integrated customer solutions. Collaborate with global commercial leadership to define regional priorities, value propositions, and go-to-market strategies. Share market intelligence, competitive insights, and customer feedback to support business planning and product development. Ensure accurate pipeline management, forecasting, and opportunity tracking through Salesforce. Monitor regional sales performance and provide regular reporting on forecasts, pipeline health, and commercial activity. Drive data-driven decision-making through sales analytics and performance metrics. Represent Park IP at customer meetings, executive briefings, conferences, and industry events. Strengthen Park IP's market presence and identify new commercial opportunities through industry engagement. REQUIREMENTS   Experience Bachelor's degree or equivalent professional experience. 7+ years of enterprise B2B sales experience within Legal Services, Intellectual Property, Legal SaaS, and/or Legal Localization Services. Previous experience leading and developing high-performing sales teams. Proven track record of consistently exceeding regional sales targets through both personal contribution and team performance. Experience managing complex enterprise sales cycles and strategic customer relationships. Strong experience developing regional sales strategies and executing go-to-market initiatives. Experience working within multinational or global organizations is preferred. Technical Skills  Strong experience using Salesforce or another enterprise CRM platform. Experience managing sales forecasting, pipeline reporting, and performance analytics. Experience developing commercial proposals, pricing strategies, Statements of Work (SOWs), and enterprise contracts. Competencies

Location: Worldwide Workplace: hybrid Reports to: VIP Services Manager The Head Butler onboard the cruise ship Aroya  will lead a team of dedicated professionals to deliver exceptional and personalized service to guests residing in suites and exclusive accommodations. Collaborating with a Senior Butler and a team of Butlers, the role of the Head Butler is integral to ensuring the highest standards of luxury, comfort, and satisfaction. The Head Butler oversees the butler team, coordinates guest services, and maintains the overall excellence of personalized service on board.  Responsibilities Team Leadership: Lead, mentor, and supervise a team of butlers, including a Senior Butler and Butlers, fostering a culture of excellence and exceptional service. Conduct regular training sessions to enhance the team's skills in guest relations, etiquette, and service standards; Guest Services: Provide personalized services to high-profile guests, organizing special events, arranging private dining experiences, and fulfilling unique requests. Anticipate guest needs and preferences to ensure a seamless and memorable experience; Suite Management: Oversee the preparation and maintenance of suites, ensuring the highest standards of cleanliness, organization, and attention to detail. Collaborate with housekeeping and maintenance departments to address any issues promptly; Communication and Coordination: Act as a primary liaison between guests and various shipboard departments, ensuring effective communication and resolution of guest requests. Collaborate with the Senior Butler to coordinate daily activities and assignments for the butler team; Training and Development: Work closely with the Senior Butler to conduct regular training sessions, focusing on service standards, etiquette, and attention to detail. Provide ongoing support and mentorship to enhance the team's professionalism and guest service capabilities; Quality Assurance: Conduct regular inspections of suites and guest areas to maintain the highest standards of cleanliness and presentation. Address and resolve any guest concerns or complaints promptly and professionally; Logistical Support: Collaborate with the Senior Butler and the ship's concierge to arrange shore excursions, dining reservations, and other guest activities. Ensure seamless transitions for guests during embarkation and disembarkation; Problem Resolution: Proactively address any issues or complaints raised by guests, striving to find prompt and satisfactory solutions while maintaining a high level of professionalism and discretion; Confidentiality: Maintain strict confidentiality regarding guests' personal information, requests, and any other sensitive matters; Safety and Security: Adhere to ship safety protocols, ensuring the well-being of guests and their belongings. Report any security concerns or incidents promptly to the appropriate ship personnel;  Requirements A minimum of 5 to 10-years’ experience as Head Butler or similar role, preferably in a luxury ship and/ or luxury hotel setting; Fluency in English is mandatory, with excellent verbal skills for guest interaction. Knowledge of Arabic, Turkish or Russian and any additional languages is a plus; Strong organizational and multitasking capabilities with meticulous attention to detail and the ability to anticipate guest needs and preferences; Excellent interpersonal and communication skills to build rapport with VIP guests and provide personalized attention; Passionate for delivering exceptional service and creating memorable experiences for guests; Knowledge of etiquette and cultural considerations; Understanding of shipboard safety and security protocols and the ability to ensure compliance is a plus.  Documentation Requirements 31/10/2026

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).

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. At 1Password, we believe everyone deserves to be safe online. As a Senior GTM Engineering Analyst, you’ll build artificial intelligence (AI) agents, data products, and analysis workflows that help global go-to-market teams work faster and make better decisions. You’ll connect information across business systems, automate repetitive processes, and create reliable insights for leaders across Sales, Solutions, Customer Experience, and Channel. Your work will help make security simpler and more human-centric for the millions of people and thousands of businesses that rely on 1Password. This role reports to the Director, GTM Engineering (Revenue Operations) How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within Canada and the US. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - Bring 4+ years of experience in analytics, revenue operations, sales operations, data analysis, or a related field. - Have experience building AI agents or workflows powered by large language models (LLMs) that have been used in real business work. - Experience building and maintaining decision-ready dashboards, reports, and data products in Power BI or comparable business intelligence tools, including data modeling, visualization, metric definition, and ongoing maintenance for GTM stakeholders - Work confidently with AI coding tools such as Claude Code, Codex, or Cursor. - Use Structured Query Language (SQL) effectively and apply working knowledge of statistics to distinguish meaningful results from noise. - Document and improve business processes with a focus on reducing manual work and improving decision-making. Bonus points for: - Have experience with Python for building automations, working with application programming interfaces (APIs), and connecting systems, along with go-to-market tools such as Salesforce, Snowflake, Databricks, dbt, or business intelligence platforms. - Have supported channel or partner sales motions, worked across multiple regions, or studied a quantitative discipline such as science, engineering, statistics, or mathematics. What you can expect: - Rebuild sales and revenue operations processes to reduce manual work. - Build and maintain AI agents that prepare call and deal briefs, draft customer follow-ups, rank target accounts, and flag deals that need attention. - Build and maintain data tables and scheduled analysis jobs that combine information from Salesforce, Gong, and other go-to-market systems. - Create reports, alerts, and weekly manager briefs used by sales leadership. - Partner with Sales, Solutions, Customer Experience, Channel, and Revenue Operations teams to understand business needs and define clear technical requirements. - Map existing go-to-market processes, identify opportunities to improve data quality and efficiency, and help teams make better decisions. - Evaluate AI-generated outputs for quality, accuracy, privacy, data access, and appropriate safeguards; measure adoption and effectiveness, then improve workflows based on feedback and results. USA-based roles only: The annual base salary for this role is between $113,000 USD and $146,000 USD. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $105,000 CAD and $136,000 CAD. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.