Задачи:
— Разрабатывать и реализовывать комплексные стратегии внешнего продвижения, анализировать конверсии, оптимизировать воронки привлечения трафика и оценивать ROI/ROAS кампаний.
— Готовить инфоповоды, писать и адаптировать пресс-релизы, экспертные статьи и колонки для профильных англоязычных СМИ, взаимодействовать с журналистами и лидерами мнений.
— Находить релевантные зарубежные ресурсы, продвигать бренд на популярных QnA-платформах и форумах (Quora, Reddit, Medium, Product Hunt), договариваться о гест-постинге и спецпроектах.
— Разрабатывать профиль ссылочной массы для англоязычного сегмента, внедрять стратегии белого линкбилдинга (Crowd, Outreach, Guest Posts) и отслеживать качество входящих ссылок через аналитические инструменты (Ahrefs, Semrush, Google Analytics).
Требования:
— Владение письменным английским языком от B1 (Intermediate) и выше — способность грамотно составлять питчи, поддерживать переписку и писать посты для аудитории Quora/Reddit.
— Опыт работы в роли интернет-маркетолога, PR-специалиста или Outreach/Linkbuilder Lead от 2–3 лет (преимуществом будет опыт работы с бурж-сегментом).
— Понимание SEO-показателей (DR, UR, Organic Traffic, Spam Score) и умение работать с сервисами Ahrefs, Semrush, Majestic, Google Search Console.
— Опыт работы с QnA-площадками и социальными платформами (Reddit, Quora), понимание правил модерации и прокачки аккаунтов.
— Опыт ведения холодной и теплой переписки (Email-аутрич), работы с сервисами автоматизации (BuzzStream, Hunter.io, Lemlist или аналогами).
Условия:
— Полная занятость 5/2, удалённая работа с гибким графиком.
— Интересные проекты и задачи, а также возможность профессионального развития.
— Полностью удалённая работа без привязки к месту.
— Щедрый обмен знаниями и опытом.
— Адекватное руководство, не бюрократический подход в обсуждении рабочих процессов.
— Уровень заработной платы финально определяем с успешным кандидатом.
— Возможно оформление договора услуг, подряда, ГПХ.
Задачи:
— Разрабатывать и реализовывать комплексные стратегии внешнего продвижения.
— Анализировать конверсии, оптимизировать воронки привлечения трафика и оценивать ROI/ROAS кампаний.
— Готовить инфоповоды, писать и адаптировать пресс-релизы, экспертные статьи и колонки для профильных англоязычных СМИ.
— Взаимодействовать с журналистами и лидерами мнений.
— Находить релевантные зарубежные ресурсы, продвигать бренд на популярных QnA-платформах и форумах (Quora, Reddit, Medium, Product Hunt).
— Договариваться о гест-постинге и спецпроектах.
— Разрабатывать профиль ссылочной массы для англоязычного сегмента.
— Внедрять стратегии белого линкбилдинга (Crowd, Outreach, Guest Posts).
— Отслеживать качество входящих ссылок через аналитические инструменты (Ahrefs, Semrush, Google Analytics).
Требования:
— Владение письменным английским языком от B1 (Intermediate) и выше.
— Опыт работы в роли интернет-маркетолога, PR-специалиста или Outreach/Linkbuilder Lead от 2–3 лет.
— Понимание SEO-показателей (DR, UR, Organic Traffic, Spam Score).
— Умение работать с сервисами Ahrefs, Semrush, Majestic, Google Search Console.
— Опыт работы с QnA-площадками и социальными платформами (Reddit, Quora).
— Понимание правил модерации и прокачки аккаунтов.
— Опыт ведения холодной и теплой переписки (Email-аутрич).
— Опыт работы с сервисами автоматизации (BuzzStream, Hunter.io, Lemlist или аналогами).
Условия:
— Полная занятость 5/2.
— Удалённая работа с гибким графиком.
— Возможность профессионального развития.
— Возможность оформления договора услуг, подряда, ГПХ.
— Адекватное руководство, не бюрократический подход в обсуждении рабочих процессов.
Anthropic is an AI safety and research company building reliable, interpretable AI systems like the Claude family of large language models.
About the role
Prompts specify what Claude does. Evals measure whether it did. The Product Prompt and Eval Design team handles both for product design: the system prompt greeting new users, tool descriptions deciding whether Claude searches, instructions maintaining quality, and evals testing all of it. The role focuses on building evals that check prompts, the harness running them, and tools enabling designers to do this work independently. It involves close collaboration with surface owners, engineers, and prompt engineering teams during model releases.
Key responsibilities:
— Write and revise prompts behind Claude's tools, features, and behaviors on product surfaces; test, fix, ship, and confirm prompts.
— Build graders to validate prompt fixes and rerun on new models; automate evals from designers' rubrics and analyze transcripts.
— Develop visual, low-code eval tools for designers without engineering help: assemble comparison sets, convert rubrics into graders, compare prompt variants, and present results.
— Observe designers using tools and simplify them.
— Support model releases by testing surfaces, writing prompt fixes and migrations, and creating prompts for new features.
— Establish and scale the eval harness to test 50-100 tools with reliable settings, maintain eval stability across models, and diagnose regressions.
— Package issues unfixable by prompting for training, including graders, human-feedback questions, and good/bad pairs.
Minimum qualifications:
— Production-quality Python.
— Experience building and maintaining evaluation pipelines for LLM products: graders, rubrics, comparison sets, regression suites, and their orchestration.
— Experience creating internal tools with user-friendly interfaces for non-coders.
— Experience setting up test harnesses, sandboxing tool calls, and stabilizing settings for comparable runs.
— Experience shipping prompts or working closely with prompt shippers, understanding prompt failures across models.
— Ability to read transcripts beyond scores.
Preferred qualifications:
— Experience within a model-launch cycle.
— A/B testing experience linking offline evals to online outcomes.
— Front-end or notebook-to-app experience and insights on eval result legibility.
— Experience converting product rubrics into training signals: graders, human-feedback questions, or preference pairs.
— Concern for Claude's behavior for users, beyond metric changes.
Logistics:
— Minimum education: Bachelor’s degree or equivalent.
— Location-based hybrid policy: at least 25% office presence expected.
— Visa sponsorship available with legal support.
Anthropic values diversity and encourages applications from underrepresented groups. The company emphasizes AI safety and ethical implications, fostering a collaborative environment focused on impactful AI research.
Compensation:
— Annual salary range: $305,000 - $385,000 USD.
Work location:
— Hybrid in San Francisco or New York offices.
About Upsun (formerly Platform.sh): Upsun is a cloud application platform designed for hybrid teams where AI agents write and test code and humans focus on problem-solving. It offers predictable performance, secure and compliant environments, real-time observability, fast cloning and provisioning, and AI-ready features. The company supports a global remote workforce and values curiosity, innovation, and collaboration.
Impact of a Customer Retention Manager:
As a Customer Retention Manager, you will protect and grow revenue across a high-volume portfolio of customer accounts through proactive human outreach and health monitoring. You will build relationships at scale, catch risks early, and ensure renewal conversations are natural and low-friction. You will work within workflows, health scoring, automation, and segmentation to scale retention effectively. Reporting to the VP of Customer Success, you will collaborate with Sales, Customer Success, Product, Data, and GTM teams to inform retention strategy and engagement models.
What to expect:
— Manage a rolling pipeline of customer renewals, initiating conversations ahead of contract expiration and driving accounts to close.
— Help build and improve scalable retention and renewal workflows using Salesforce and integrated tools.
— Own direct outreach to smaller and long-tail accounts by proactively building relationships.
— Contribute to designing customer lifecycle journeys, engagement triggers, and tech-touch motions.
— Use customer health scoring frameworks to identify at-risk accounts early and develop save strategies.
— Support implementation of automated outreach, lifecycle campaigns, and renewal risk workflows, and identify opportunities to leverage AI and automation.
— Negotiate pricing, contract terms, and multi-year agreements within company guidelines.
— Partner with Customer Success Managers and Account Executives to identify and close upsell and cross-sell opportunities during renewals.
— Collaborate closely with internal teams to support retention strategy and customer engagement.
What you bring:
— Experience managing a rolling renewal pipeline and engaging customers ahead of contract expiration.
— Commercial negotiation skills for pricing, contract terms, and multi-year agreements.
— Ability to identify at-risk accounts early and collaborate on save strategies.
— Hands-on experience with Salesforce or similar CRM, including operational workflows or lifecycle processes.
— Solid understanding of customer health scoring, lifecycle automation, and retention strategy.
— Proven ability to identify upsell and cross-sell opportunities in partnership with CSMs and Account Executives.
— Comfort operating across customer-facing engagement and systems/process design conversations.
— Commitment to continuous improvement and seeking better ways to engage customers and support scalable operations.
Where we hire:
Remote work with focus on candidates located in the UK, France, Spain, Germany, or Canada. No visa sponsorship available; candidates must be authorized to work in these countries.
How we hire:
Four video interviews via Google Meet: Talent Acquisition (45 min), Hiring Manager (60 min), Team (60 min), Executive (45 min). Background checks required.
What we offer:
— A product with positive impact as a proud B Corp.
— Recognized workplace by Forbes and France’s Best Workplaces for Women.
— Flexible, open, and inclusive culture valuing employee voice.
— Global diverse team.
— Benefits including flexible PTO, comprehensive healthcare (UK, Canada, France, Spain, USA), company stock options, professional development budget, office equipment budget, wellness budget, annual team gatherings, internet reimbursement, inclusive parental leave, and remote work travel program.
You belong here:
Upsun celebrates diversity and fosters an inclusive, equitable, and supportive workplace. Accommodations are available during the hiring process to ensure accessibility and comfort.
Location: New York, NY (HQ); San Francisco, CA; Miami, FL
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
Ramp is in a critical phase of growth, and marketing is one of the biggest drivers of it. We're building out our business systems team to make sure the systems behind every campaign, list, and lead can keep up. You'll work directly with Growth Marketing, Demand Generation, Lifecycle, Events, Sales Development, and Sales to own the systems that turn marketing programs into pipeline. You'll own HubSpot and how it connects to Salesforce and the rest of our GTM stack.
What You'll Do
- Own top-of-funnel marketing systems: the roadmap, the architecture decisions inside them, and their operational health
- Run HubSpot as a system, not just a tool: workflows, lists, forms, properties, lifecycle stages, and the permissions and naming conventions that keep it from sprawling
- Run campaign operations end-to-end: program and campaign structure, campaign membership and status, event and webinar lead capture, and launch QA, so Marketing can ship quickly without creating data debt
- Own workflow management in HubSpot: build, document, and audit nurture, enrollment, and suppression workflows, and retire the ones that no longer earn their place
- Build and govern lists: ICP segmentation, inclusion and suppression logic, enrichment, and email validation between a Growth request and a send. Every list should be reproducible and explainable.
- Own privacy and opt-out management: subscription types, consent capture, unsubscribe and opt-out handling across HubSpot, Salesforce, and sales engagement tools, and compliance with CAN-SPAM, GDPR, and CCPA in a regulated fintech environment
- Design and maintain UTM tracking and attribution architecture: UTM taxonomy and governance, hidden-field capture on forms, lead source and original source logic, and how campaign touches flow into Salesforce, so the attribution reporting is something the business trusts
- Build the Salesforce automation behind marketing handoffs: record-triggered flows, validation rules, fields, and permission sets
- Use AI to automate the work where it holds up: enrichment, list QA, data quality checks, and request triage
- Prioritize incoming requests by ROI. Decide what gets built, deferred, or declined, and show the numbers behind each call.
What You'll Need
- 5+ years in marketing operations, business systems, or revenue operations at a fast-paced B2B company
- Deep hands-on HubSpot experience: workflows built and debugged, and list, form, and property architecture you designed rather than inherited
- Hands-on campaign operations experience: you've built campaign structures and owned the lists and sends behind real programs
- A working command of email privacy and consent: subscription management, opt-out handling across systems, and the regulations behind them
- UTM and attribution architecture you've owned in practice: taxonomy, capture, lead source logic, and the MQL-to-SQL handoff
- Salesforce Admin experience, including flows you built and debugged when they broke (certification is a plus)
- A habit of framing problems rather than waiting for a spec: you take on ambiguous requests, make the decisions, and ship
- You dissect a problem, drive it to completion with little supervision, and can explain the tradeoffs to any audience
Nice to Have
- Enrichment and routing tools such as Clay, ZoomInfo, LeanData and Chili Piper
- Sales engagement and automation platforms such as Outreach and Workato
- Deliverability and list hygiene at high sending volume
- Paid media and ad platform integrations, including conversion tracking
- Lead scoring and MQL model design
- Snowflake, Looker, or similar BI and warehouse tools
- Linear or similar project management software
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Задачи:
- Разработка и развитие микросервисов и data-процессов для online/streaming и batch обработки
- Построение пайплайнов обработки, обогащения и репликации данных
- Создание витрин, агрегатов и ML-фичей для антифрод-моделей
- Работа с большими объёмами исторических данных и тяжёлыми расчётами
- Оптимизация производительности и надёжности сервисов и пайплайнов
Требования:
- Коммерческий опыт разработки на Python
- Опыт создания backend-сервисов и data-пайплайнов, понимание микросервисной архитектуры
- Опыт работы с большими объёмами данных, понимание batch и streaming обработки
- Опыт работы с реляционными и in-memory базами данных
- Понимание принципов работы ML-пайплайнов
- Будет плюсом: опыт в Anti-Fraud / Risk / Scoring, low-latency системах; Spark, Kafka, Tarantool или Ignite
Условия:
- Формат работы: удалённо
- Пятница — сокращённый рабочий день
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, 25M+ 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
Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing.
This role makes the company act per user, and know what that action was worth.
You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number.
You make sure:
- Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else
- We know who is about to churn early enough to do something about it — and we know whether the something worked
- Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three
- Every model and every campaign has a holdout behind it, so we can always state what it is worth in money
WHAT YOU WILL DO
Churn, retention & lifecycle propensity
- Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it.
- Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing.
- Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system.
- Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list.
Uplift modelling & offer targeting
- Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves.
- Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes.
- Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off.
- Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup.
- Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it.
Lifetime value & payer economics
- Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount.
- Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes.
- Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling.
- Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it.
Experimentation & causal measurement
- Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it.
- Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying.
- Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud.
- Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck.
How we ship
- Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining.
- Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit.
- Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score.
- Write down what each model is worth, in money, and keep that number current.
WHO WE'RE LOOKING FOR
- Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this.
- Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale.
- Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift.
- Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot.
- Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer.
- Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model.
- Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached
- CRM and lifecycle data scientists who owned campaign targetingandits incrementality
- Causal inference and uplift specialists who ship policies rather than papers
- Strong product analysts who moved into modelling and kept the decision instinct
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open
- Want to own a recommender or a serving stack — ranking is not in this role's scope today
- Would target an offer at the users most likely to buy and call it personalization
- Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't
- Optimize AUC and hand the score to someone else to work out what to do with it
- Need clean labelled data, a feature store and an experimentation platform to exist before you can start
- Want predictable 9–5 workdays
HIRING PROCESS
We move fast:
- Screening call (30 min)
- Technical interview & case study (1 hour)
- Practical home task (7 days)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
Mission: Lead the delivery of consulting, implementation, development, and support projects for customers in the education sector. Responsible for end-to-end delivery of projects ensuring on-time, within budget, and high-quality standards, serving as primary operational contact for customers. Accountable for measurable outcomes: on-time delivery, budget adherence, customer satisfaction, and retention.
Duties & Responsibilities:
Pillar 1 — Project Planning, Execution & Delivery:
— Develop comprehensive project plans covering scope, timeline, resource allocation, dependencies, and risk assessment.
— Monitor project progress against baseline and proactively identify issues or risks.
— Implement corrective actions and change management to keep projects on track.
— Coordinate internal resources and third parties/vendors to ensure project completion.
— Apply industry best practices, techniques, and standards throughout the project lifecycle.
— Monitor and handle Change Requests required for project implementation.
— Success Metrics: on-time delivery rate, schedule variance, budget variance, quality of deliverables, number of escalations resolved within SLA.
Pillar 2 — Client & Technical Account Management:
— Establish and maintain strong, trust-based relationships with clients and stakeholders.
— Communicate project status, progress, challenges, and risks effectively.
— Manage customer expectations and address concerns proactively.
— Engage with Premier Customers and Partners to ensure alignment on project goals and implementation.
— Oversee Premier customer onboarding, manage customization requests, and ensure smooth handover.
— Represent Premier Customer interests in discussions with Engineering; track and prioritize feature requests, code improvements, and bugfixes.
— Assist with implementation of new solutions, deployment of packages, hotfixes, upgrades; perform post-upgrade service checks.
— Guide Premier Customers in adopting Constructor Tech best practices including risk assessments and health checks.
— Maintain availability during Premier Customer business hours for timely support.
— Success Metrics: customer satisfaction (CSAT), Net Promoter Score (NPS), retention rate, feature request cycle time, onboarding completion time.
Pillar 3 — Incident Management, Quality & Reporting:
— Own all support incidents and requests from Premier Customers and drive to resolution.
— Coordinate escalations and conduct post-incident reviews and root cause analyses.
— Ensure adherence to quality standards and implement quality improvement initiatives.
— Retain Premier Support Customer CSAT and NPS through outcome-driven activities; own Service Levels and KPIs per contract.
— Provide trend analysis, current health status, and manager-defined KPIs on schedule or demand.
— Keep customer information updated and shared as internal knowledge content.
— Participate in support-related activities and handle non-premier support tasks as requested.
— Continuously build practical experience with Constructor Tech products and related software solutions.
— Success Metrics: incident resolution time, escalation rate, CSAT/NPS targets, SLA adherence, quality audit results.
Qualifications & Experience:
— Minimum five years of experience in IT project management (internal, customer implementation, and/or consultancy).
— Proven track record of successful project delivery (on time, within budget, and to quality standards).
— PMP certification preferred.
Skills & Competencies:
— Strong communication and interpersonal skills.
— Ability to work under pressure and meet deadlines.
— Good understanding of software development methodologies preferred.
— Results-oriented with focus on measurable delivery outcomes.
Education & Languages:
— Bachelor's degree in Computer Science, Information Technology, or related field.
— Fluent English; German is a bonus.
Role Characteristics:
— Delivery-focused and accountable for measurable project outcomes.
— Balance of project execution and strategic customer/technical account management.
— Hands-on, customer-facing, with clear targets and KPIs.
— Not a purely administrative or coordination-only position.
— Not a business development or sales role.
— Not measured by activity volume but by delivered results.
Mission: Lead the delivery of consulting, implementation, development, and support projects for customers in the education sector. Responsible for end-to-end delivery of projects ensuring on-time, within budget, and high-quality standards, serving as primary operational contact for customers. Accountable for measurable outcomes: on-time delivery, budget adherence, customer satisfaction, and retention.
Duties & Responsibilities:
Pillar 1 — Project Planning, Execution & Delivery:
— Develop comprehensive project plans covering scope, timeline, resource allocation, dependencies, and risk assessment.
— Monitor project progress against baseline and proactively identify issues or risks.
— Implement corrective actions and change management to keep projects on track.
— Coordinate internal resources and third parties/vendors to ensure project completion.
— Apply industry best practices, techniques, and standards throughout the project lifecycle.
— Monitor and handle Change Requests required for project implementation.
— Success Metrics: on-time delivery rate, schedule variance, budget variance, quality of deliverables, number of escalations resolved within SLA.
Pillar 2 — Client & Technical Account Management:
— Establish and maintain strong, trust-based relationships with clients and stakeholders.
— Communicate project status, progress, challenges, and risks effectively.
— Manage customer expectations and address concerns proactively.
— Engage with Premier Customers and Partners to ensure alignment on project goals and implementation.
— Oversee Premier customer onboarding, manage customization requests, and ensure smooth handover.
— Represent Premier Customer interests in discussions with Engineering; track and prioritize feature requests, code improvements, and bugfixes.
— Assist with implementation of new solutions, deployment of packages, hotfixes, upgrades; perform post-upgrade service checks.
— Guide Premier Customers in adopting Constructor Tech best practices including risk assessments and health checks.
— Maintain availability during Premier Customer business hours for timely support.
— Success Metrics: customer satisfaction (CSAT), Net Promoter Score (NPS), retention rate, feature request cycle time, onboarding completion time.
Pillar 3 — Incident Management, Quality & Reporting:
— Own all support incidents and requests from Premier Customers and drive to resolution.
— Coordinate escalations and conduct post-incident reviews and root cause analyses.
— Ensure adherence to quality standards and implement quality improvement initiatives.
— Retain Premier Support Customer CSAT and NPS through outcome-driven activities; own Service Levels and KPIs per contract.
— Provide trend analysis, current health status, and manager-defined KPIs on schedule or demand.
— Keep customer information updated and shared as internal knowledge content.
— Participate in support-related activities and handle non-premier support tasks as requested.
— Continuously build practical experience with Constructor Tech products and related software solutions.
— Success Metrics: incident resolution time, escalation rate, CSAT/NPS targets, SLA adherence, quality audit results.
Qualifications & Experience:
— Minimum five years of experience in IT project management (internal, customer implementation, and/or consultancy).
— Proven track record of successful project delivery (on time, within budget, and to quality standards).
— PMP certification preferred.
Skills & Competencies:
— Strong communication and interpersonal skills.
— Ability to work under pressure and meet deadlines.
— Good understanding of software development methodologies preferred.
— Results-oriented with focus on measurable delivery outcomes.
Education & Languages:
— Bachelor's degree in Computer Science, Information Technology, or related field.
— Fluent English; German is a bonus.
Role Characteristics:
— Delivery-focused and accountable for measurable project outcomes.
— Balance of project execution and strategic customer/technical account management.
— Hands-on, customer-facing, with clear targets and KPIs.
— Not a purely administrative or coordination-only position.
— Not a business development or sales role.
— Not measured by activity volume but by delivered results.
Location: Milan, Italy
Are you ready to grow with the world’s largest law firm? Join Dentons Italy Team today.
Dentons Italy is currently looking to grow its Project, Energy and Infrastructure business unit with the appointment of an Associate based in our Milan office. The successful candidate will work on a wide range of high-profile domestic and cross-border transactions in the energy and infrastructure sectors, with a 360 degree approach spanning from project financing, M&A, project development, project contracts to legal due diligence exercise on the full set of energy and infrastructure assets in Italy and abroad.
Our Project, Energy and Infrastructure Team consists of highly industry specialized lawyers, recognized among the best for their areas of expertise. The Project, Energy & Infrastructure business unit is part of the Banking & Finance department and becoming a member of such a team will mean being part of a rapidly growing and dynamic group, as well as receiving specific training and being involved in the most innovative legal issues and market prominent transactions. Our clients are medium and large Italian and international companies belonging to different business areas, lenders, funds, investors, IPP and contractors.
Dentons offers a diverse range of activities in a dynamic work environment, practice-oriented training in an international context and the opportunity to gain 360 degree work experience. Dentons is not only the largest law firm in the world, providing quality and value to clients, but it is also a world-class firm of high profile professionals.
Dentons is a leader in the Acritas Global Elite Brand Index, winner of the BTI Client Service 30 Award and recognized by leading business and legal publications for its innovations in client service, including the founding of Nextlaw Labs and the Nextlaw Global Referral Network. Dentons' polycentric approach and talents challenge the status quo to promote client interests. We are always looking for the best professionals.
Our DNA is made up of talent, innovation and passion.
Requirements
Italian Law Degree with a minimum score of 105/110.
Current license to practice law in Italy.
Newly qualified to 3 years PQE in the Project, Energy & Infrastructure field, gained in a comparable law firm.
High level of English (Certificate C1). Other foreign languages are a plus.
Vocation and motivation for exercising the legal profession.
Excellent negotiation and communications skills.
Global mindset and enthusiasm.
You are able to adapt to an international environment and eager to grow both professionally and personally with us.
Benefits
Enrollment in the firm's training plan.
Competitive rewarding package.
A clearly structured career path.
You will have access to Daisy, Dentons' proprietary AI tool.
You will work closely with professionals who are recognized among the best in their areas of practice, in an international and stimulating working environment.
Welfare program.
Personal Budget for Training.
Agile Working (as per internal policy).
Opportunity to perform pro bono legal assistance.
Involvement in corporate events (e.g. annual Fee Earners Retreat).
About us
Across over 80 countries, Dentons helps you grow, protect, operate and finance your organization by providing uniquely global and deeply local legal solutions. Polycentric, purpose-driven and committed to inclusion, diversity, equity and sustainability, we focus on what matters most to you.
www.dentons.com
Diversity & Inclusion
Essential to our success as a global law firm is our ability to attract and retain the best talent from a diverse range of backgrounds. We want a work environment where everyone can reach their potential and we have an inclusive culture, which respects individual differences.
We undertake and support a number of internal and external initiatives aimed at increasing diversity within the profession and we encourage all our partners and staff to get involved. We welcome you to learn more about diversity and inclusion at Dentons.
Location: US: San Mateo (1875 South Grant Street)
Workplace: Hybrid
LEAD PRODUCT MANAGER – PAYMENTS RISK
OUR PURPOSE
At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.
HOW YOU’LL MAKE AN IMPACT
As a Lead Product Manager – Payments Risk, you’ll build the risk capabilities that enable Xero customers to accept payments securely, reliably and with as little unnecessary friction as possible.
You’ll own product strategy and execution across two core areas:
Merchant risk — including KYB/KYC, merchant eligibility, underwriting, risk segmentation, financial exposure management and ongoing merchant monitoring.
Transaction risk — including fraud detection and decisioning, transaction monitoring, disputes and chargebacks, reserves and holds, payout risk and payments loss management.
This is a Product Management role focused on payments risk, not a Risk Operations or Compliance role. You’ll partner closely with Risk, Compliance, Engineering, Data and Operations to turn risk strategy and policy into scalable product capabilities.
WHAT YOU’LL DO
BUILD XERO’S PAYMENTS RISK CAPABILITIES
- Own the product strategy and roadmap for merchant and transaction risk.
- Build capabilities for merchant eligibility, underwriting, risk segmentation, financial exposure management and ongoing monitoring.
- Build transaction fraud detection, monitoring and decisioning capabilities using signals, rules, scoring, velocity and limits.
- Develop controls for disputes, chargebacks, reserves, holds, negative balances and payout risk.
- Build the tooling and workflows needed to support investigation, review and risk operations.
BUILD RISK AS A SCALABLE PLATFORM CAPABILITY
- Develop reusable capabilities for risk decisioning, rules, signals, limits, monitoring, alerts and case management.
- Partner with Engineering and Data on APIs, data models, architecture and decisioning systems required to operate risk at scale.
- Design capabilities that can support multiple processors, payment methods and markets.
- Evaluate build-versus-partner decisions and determine where Xero should own risk capabilities versus rely on processors or specialist risk providers.
MAKE THE RIGHT RISK TRADE-OFFS
- Translate risk appetite and policy into product controls and customer experiences.
- Use data to balance fraud and financial loss against merchant friction, transaction conversion and operational cost.
- Establish clear risk metrics and continuously improve decision quality, false-positive rates and loss performance.
- Identify emerging merchant, fraud and loss patterns and evolve controls as risks change.
WHAT YOU’LL BRING WITH YOU
Deep, hands-on payments risk product experience is essential for this role.
We’re looking for someone who has built and operated risk capabilities within a payments platform, PSP, acquirer, PayFac, marketplace or similar payments environment.
You should have meaningful Product Management experience across both:
- Merchant risk: KYB/KYC, merchant onboarding, eligibility, underwriting, merchant risk assessment, financial exposure management and/or ongoing monitoring.
- Transaction risk: fraud detection and decisioning, transaction monitoring, disputes and chargebacks, reserves and holds, payout risk and/or payments loss management.
You’ll also bring:
- Significant Product Management experience in a technically complex payments or fintech environment.
- Strong understanding of how merchant risk, transaction risk and the movement of money create financial exposure.
- Experience building risk decisioning capabilities using rules, signals, scoring, limits and data-driven models.
- Strong analytical skills and experience using fraud, transaction and loss data to make product decisions.
- Experience partnering closely with Engineering, Data Science, Risk, Compliance and Operations.
- Experience working with payment processors, acquirers and/or third-party risk providers.
- Strong product judgement and the ability to make decisions where customer experience, growth and risk are in tension.
We’re particularly interested in candidates whose experience extends beyond KYC/compliance or consumer identity fraud into broader merchant and transaction risk within a payments environment.
SUCCESS LOOKS LIKE
- Legitimate merchants can accept payments with minimal unnecessary friction.
- Higher-risk merchants and transactions are identified and treated appropriately.
- Fraud, chargebacks and payments losses remain within Xero’s agreed risk appetite.
- Risk capabilities and decisioning can scale across processors, payment methods and markets.
COMPENSATION & TOTAL REWARDS
At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.
The expected base salary range for this role in:
- California: $212,200 – $265,200 USD
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:
- Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
- Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page.
Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Location: Mexico; Argentina; Colombia; Uruguay; Venezuela, Bolivarian Republic of
We are currently assisting a growing U.S.-based B2B SaaS company in hiring an experienced HubSpot Marketing Operations Specialist to support and optimize its marketing infrastructure.
The role will focus on improving the company’s CRM, marketing automation, campaign execution, lead management, and performance reporting. The ideal candidate should be able to work independently, provide strategic input, and execute directly in HubSpot with minimal training.
The initial workload will be approximately 10–15 hours per week, with potential for future growth.
Responsibilities
Manage and optimize HubSpot CRM and Marketing Hub.
Build workflows for automation, lifecycle stages, lead scoring, and inbound routing.
Manage contacts, email lists, segmentation, and data hygiene.
Create landing pages, forms, email campaigns, and webinar workflows.
Build dashboards and reports to track funnel performance and marketing ROI.
Create dynamic audiences for advertising platforms.
Support WordPress-related marketing activities.
Recommend process improvements and communicate directly with the client.
Requirements
4+ years of hands-on HubSpot experience.
Strong knowledge of Marketing Hub, CRM administration, workflows, and automation.
Experience with lifecycle stages, lead scoring, routing, segmentation, and reporting.
Background supporting B2B companies, preferably SaaS or software businesses.
Experience working with U.S.-based clients or companies.
Experience with landing pages, forms, email campaigns, and webinars.
WordPress experience is preferred.
Fluent English and strong communication skills.
Able to work independently with minimal supervision.
Available for 10–15 hours per week.
Engagement Details
Part-time: 10–15 hours per week
Fully remote
U.S.-based client
Flexible schedule with U.S. business-hours overlap
Independent contractor engagement
Expected start within two to four weeks
Compensation based on experience and fit
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоMexico; Argentina; Colombia; Uruguay; Venezuela, Bolivarian Republic of
Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Buyer - Directs for an operational procurement role focused on P2P execution, supplier communication, and tactical sourcing support across Humanoid’s direct material commodity. The role supports the SCM Lead, you will partner with teams in London, Boston, and Vancouver in delivering continuity of supply, cost performance, and operational excellence across Mechanical, Electronics, Electromechanical, Cables & Harnessing, and Software commodities
WHAT YOU'LL DO
- Conduct market research to identify cost‑saving opportunities and understand price trends and supply risks.
- Support sourcing initiatives, including RFx processes, negotiations, and contract execution.
- Drive cost, lead‑time, and efficiency improvements with measurable KPIs.
- Capture business requirements and translate them into clear commercial packages.
- Negotiate optimal commercial terms (pricing, payment terms, lead times, Ts & Cs).
- Conduct price analysis and cost‑breakdown validation to ensure fair and equitable pricing.
- Process requisitions and purchase orders in line with procurement policies.
- Maintain accurate PO and supplier data within SAP and associated systems.
- Resolve supplier performance issues, discrepancies and understand the escalation process
- Communicate to internal stakeholders as appropriate.
- Minimize risk to continuity of supply by carrying out supplier risk assessments for the portfolio’s suppliers and implementing corrective actions as required.
- Support continuous improvement of procurement processes, documentation, and tools.
- Deliver KPI’s relating to cost, cash, quality, service and continuity of supply for the commodity proposals.
- Run MRP (SAP) and ensure timely availability of direct goods and services.
- Experience of implementing Supplier Relationship Management techniques / tools with suppliers (RMMs, Score Cards, Monthly Performance Reviews (MPRs), Communications Plans, Risk Management, DnB report, Sanctions list etc.)
- Support Production, Engineering, Quality, and Planning teams to meet manufacturing needs.
- Directly support the SCM Lead in the regional area
This role supports the Commodity teams in sourcing activities but does not own commodity strategy or supplier selection decisions
WHAT WE'RE LOOKING FOR
- 3+ years of direct procurement experience, ideally in manufacturing, robotics, technology, aerospace/defense or automotive.
- Proven experience working within scaling direct procurement functions.
- Degree in Business, Law, Engineering, or related field.
- APICS/ASCM CPIM or ISM-CPSM certification desirable.
- Strong understanding of contract law, commercial terms, and negotiation frameworks.
- Awareness of export controls (including EAR) relevant to robotics and technology.
Technical Skills
- Proficient in Google Workspace, Slack, and database management.
- Experience with MRP/ERP systems; SAP essential.
- Good analytical, numerical, and planning capabilities
- A good understanding of the Legal Aspects associated with contracting within the Robotics industry
- Procure-2-Pay and tactical procurement experience (Essential) across the following direct commodities pillars
- Mechanical Systems
- Electronics & Electrical
- Electromechanical Systems
- Cables & Harnessing
- Software & Digital Licensing (P2P support)
Behavioral Skills
- Good negotiation, influencing, and stakeholder‑management skills.
- Ability to work cross‑functionally in a fast‑paced, engineering‑driven environment.
- Highly organized, adaptable, and able to manage shifting priorities.
- Professional, motivated, and able to operate autonomously.
WHAT WE OFFER
- Competitive hourly rate, based on experience
- Office perks: free breakfasts, lunches, snacks, and regular team events
- Collaboration with top-tier engineers, researchers, and product experts in robotics
- Startup culture prioritizing speed, transparency, and minimal bureaucracy
Location: London
Workplace: Hybrid
Why loveholidays?
At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away.
We’re using progressive tech to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams, you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced international community of collaborative and passionate teams.
The impact you’ll have:
As our Senior CRM Executive, you will play a key role in delivering and improving CRM campaigns and customer journeys across our channels. You’ll be close to the detail of campaign build, journey optimisation and performance, with the opportunity to grow your ownership over time.
You’ll work closely with the CRM Manager, Head of CRM and wider Marketing, Product and Engineering teams to turn agreed customer opportunities and briefs into well-executed campaigns and journeys. You’ll help move us away from legacy campaign cycles by building reliable, increasingly automated lifecycle activity. We are looking for a thoughtful, high-velocity operator who can turn clear direction into accurate live journeys.
Your day-to-day:
- You’ll build and maintain multi-channel automated journeys using branching logic, API triggers, and real-time data, working from agreed briefs and priorities.
- Identify manual bottlenecks and support the implementation of AI-assisted workflows, using tools like n8n and Claude (training will be provided).
- Use Braze to identify optimisation opportunities within your journeys and help make delivery faster, more accurate, and more consistent.
- Provide hands-on campaign support to the wider team in deploying campaigns. You’ll ensure accurate execution through rigorous, increasingly automated QA processes.
- Work collaboratively with Marketing, Product and Engineering to deliver agreed workstreams and help create a frictionless experience from search to rebooking.
- Monitor the performance of your campaigns and journeys. You’ll be comfortable using Looker to maintain reports, monitor health metrics, and surface actionable insights that support optimisation.
Your skillset:
- You are a reliable operator who takes ownership of your assigned campaigns and journeys from brief through deployment. You ask the right questions, flag risks early, and deliver with consistency and precision.
- You can move from a clear brief to deployment rapidly, maintaining high standards and following agreed processes.
- You are naturally curious and look for practical ways to improve processes, reduce manual tasks, and make delivery more efficient.
- You have experience with Looker, Tableau, or SQL, and BQ and confidence using data to monitor performance.
- Hands-on experience with Braze or similar. You should be comfortable with Liquid logic, audience segmentation and personalisation.
- You are comfortable working with data models and propensity scores to support relevant segmentation and measure campaign impact.
- The ability to work well across Marketing, Product, and Engineering teams, taking direction and communicating clearly to keep delivery on track.
Desirable:
- Experience supporting CRM activity across multiple international markets, including handling localisation, consent frameworks, and currency differences within automated journeys
- Familiarity with n8n or similar workflow automation tools
- Experience writing Liquid logic for content personalisation
- Exposure to AI-assisted workflows or agentic tooling
- Background in travel, marketplace, or another high-frequency transactional category
The interview journey:
1. Meeting with a member of the Talent Acquisition team - 20 minutes
2. Virtual Interview with Hiring Manager
3. Final Stage interview in office presenting pre-determined task and a meeting a few stakeholders - 1 hour 30 mins
Perks of joining us:
- Company pension contributions at 5%.
- Individualised training budget for you to learn on the job and level yourself up.
- Discounted holidays for you, your family and friends.
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum.
- Ability to buy and sell annual leave.
- Cycle to work scheme, season ticket loan and eye care vouchers.
At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.
Location: Remote-Friendly, United States; San Francisco, CA | Washington, DC
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
We're hiring Cyber Evaluations Engineers to build and run the evaluations that measure cyber-relevant capabilities and safeguard robustness in our models. You'll design new evals, run per-release robustness testing, and dig into data on jailbreaks and prompt bypasses to understand where our safeguards hold up and where they don't. You'll also design many of the probes that detect cyber abuse in production and help shape the overall detection architecture alongside the policy team.
Key responsibilities
Design and run capability, uplift, and safety evaluations to assess cyber-relevant risk in new models
Execute per-release safeguard-robustness testing ahead of major model launches
Analyze evaluation results and communicate findings clearly to the team and to stakeholders
Design, prototype, and tune detection probes for cyber misuse
Work with the cyber policy team to turn policy lines into a layered, robust abuse-detection architecture, and measure its precision and coverage over time
Build and maintain internal tooling used to run and score evaluations
Collaborate with policy and engineering partners to translate eval findings into safeguard improvements
Minimum qualifications
Experience building or running evaluations, benchmarks, or test suites for software or ML systems, including delivering results on short, fixed timelines
Hands-on cybersecurity experience (e.g., CTF participation, vulnerability research, exploit development, or security research)
Proficiency in Python
Strong ability to communicate evaluation results with multiple cross-functional stakeholders or potential policy stakeholders
Preferred qualifications
Deep offensive-security or security-research experience, including experience building AI security benchmarks
Experience analyzing adversarial or abuse data (e.g., jailbreaks, prompt bypasses, intrusion or fraud telemetry)
Experience working onsite with government partners on testing or evaluation engagements
Experience with AI/ML evaluation frameworks
Familiarity with coordinated vulnerability disclosure practices
Experience testing pre-release or pre-deployment software or models under confidentiality constraints
Experience authoring detection content (e.g., Sigma, YARA, Suricata, SIEM rules) or building ML-based abuse detection
Active secret security clearance or higher, or eligibility to obtain one
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$405,000 USD
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: 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
The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes.
We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios.
You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity.
What You’ll Be Doing
Drive product planning and roadmap execution.
Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate.
R
esearch and iterate on risk-control methodologies.
Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility.
B
uild platform-level risk controls.
Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions.
D
rive effective implementation of risk systems.
Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored.
Drive continuous improvement.
Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance.
Stay close to markets and users.
Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly.
Strengthen team methodologies and AI leverage.
Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations..
What We Look For In You
Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios.
An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts.
Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements.
Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews.
Mature cross-functional leadership and project execution capabilities.
Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments.
A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics.
Nice-To-Haves
A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits.
Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment.
Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments.
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
The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes.
We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios.
You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity.
What You’ll Be Doing
Drive product planning and roadmap execution.
Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate.
R
esearch and iterate on risk-control methodologies.
Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility.
B
uild platform-level risk controls.
Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions.
D
rive effective implementation of risk systems.
Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored.
Drive continuous improvement.
Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance.
Stay close to markets and users.
Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly.
Strengthen team methodologies and AI leverage.
Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations..
What We Look For In You
Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios.
An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts.
Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements.
Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews.
Mature cross-functional leadership and project execution capabilities.
Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments.
A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics.
Nice-To-Haves
A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits.
Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment.
Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments.
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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
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 Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team.
Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth.
Key responsibilities
Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement
Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control
Develop evaluation frameworks for agent behavior, and run them in development and in production
Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue
Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse
Set the technical direction for how we build, evaluate, and operate agents across the team
Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high
Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe
Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams
Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques
Minimum qualifications
Strong programming skills in Python or TypeScript, with experience building and operating production applications
Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks
Experience using evals and transcript analysis to find and fix real problems in an LLM system
Working fluency with data, including SQL
Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems
Passion for advancing safe, beneficial AI, and care for the people who use what you build
Preferred qualifications
8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply
Experience with the Claude Code and the Claude Agent SDK
Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team
Experience growing a codebase that many people contribute to, inner-source or open-source
Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis
Exceptional communication skills to convey technical concepts to non-technical partners with low ego
Representative projects
(Illustrative of the kind of work, not a project list.)
Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action
Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change
Ship an MCP server that gives sellers and their agents governed access to a core revenue system
Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy
Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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