Location: New York, NY (HQ); San Francisco, CA; Remote (US); Denver, CO; 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 builds software that moves real money, from bill payments and corporate cards to reimbursements, accounting integrations, and travel. Our customers rely on us to keep their operations running: invoices get paid, books get closed, and finance leaders can trust the data behind every decision.
In this role, you will be the person who spots where customers are getting stuck and drives issues to a clear resolution. You will learn a complex product deeply enough to troubleshoot across payments, bank linking, accounting syncs, and card programs, then partner with teams across Engineering, Risk, Product, and Partnerships to get problems solved. This is not script-based support. You will triage, investigate, and make high-signal judgment calls throughout the day.
You will thrive in this role if you are a systems thinker and deeply customer obsessed. Support is the baseline. How you think about improving processes, tools, and outcomes is what sets you apart.
WHAT YOU’LL DO
- Be the voice of Ramp's Customer Support. You'll spend your day engaging with customers, primarily via live calls, email, and chat.
- Diagnose across a broad product surface. Ramp isn't one product — it's payments, cards, travel, accounting integrations, and more. You'll need to understand how they connect and where they break.
- Operate with an ownership mindset, managing escalations end-to-end. You take full accountability for every ticket you handle. When an issue crosses team boundaries — risk, engineering, product, partnerships — you route it correctly, follow up, and make sure the customer isn't left waiting. You'll work across Zendesk, internal tooling, and Slack-based escalation workflows.
- Build and shape AI tools, not just use them. Ramp is building AI into CX operations. You'll use AI-powered research tools and proprietary tools like Glass daily, provide direct feedback on what's working, and play an active role in how these tools evolve. You're not just a user — you're a builder. We are all builders at Ramp.
- Ship improvements, not just flag them. When you notice a process gap, a missing SOP, or a knowledge base article that's sending associates down the wrong path, you don't just raise it — you have the autonomy to roll up your sleeves and fix it. Leverage AI to solve problems, build automations, and improve the systems around you. The best people in this role make the whole team better.
- Communicate with precision and empathy. Our customers are financially sophisticated. You need to explain what's happening, what you're doing about it, and what they should expect — clearly and without filler.
WHAT YOU NEED
- You're a systems thinker: you don't just solve the ticket in front of you, you ask why the problem exists and how to prevent it from happening again.
- You actively use AI tools — Claude, Notion AI, research and workflow tools — and can demonstrate how you've applied them to get real work done. This is a hard requirement.
- You're fast-moving while holding yourself to a high bar for execution: you balance speed, accuracy, and thoroughness in every interaction.
- You can hold a technical conversation about how systems connect (APIs, bank integrations, accounting software) even if you're not writing code.
- You manage competing priorities without dropping things. When you have 15 open issues across 4 internal teams, nothing falls through.
- You write clearly and concisely. You can explain a payment reconciliation issue to a CFO without jargon.
- You're comfortable on the phone. Many interactions start there.
- You have a demonstrated track record of exceeding key performance standards, including CSAT, QA, and speed-of-service metrics.
NICE TO HAVES
- Experience building workflows or automations using AI tools, not just prompting
- Familiarity with accounting workflows (AP/AR, GL, reconciliation) or ERP integrations (NetSuite, QuickBooks, Sage)
- Background in payments infrastructure (ACH, wire transfers, card networks)
- Track record of working somewhere that shipped product fast and expected CX to keep up
WHY BE A CX ASSOCIATE AT RAMP
- Cross-functional exposure from day one. You work directly with Product, Engineering, and GTM teams — not siloed into a support queue.
- AI tools and unlimited access. Unlimited tokens, proprietary AI tools like Glass, and a culture that expects you to use them to move faster and build smarter.
- Career growth that you own. Grow within CX, explore other functions internally, or carve out a path that doesn't exist yet. If you're invested, we're invested.
- Culture that's different from a call center. Team events, in-person offsites, and a genuine commitment to building a team people want to be part of.
READ MORE ABOUT HOW RAMP THINKS ABOUT AI AND CX:
- How Ramp Became an AI-First Company — Geoff Charles, CPO https://x.com/geoffintech/status/2042002590758572377?s=20
- Inside Glass: How Ramp Built a Proprietary AI Platform for CX — Seb Goddijn, AI Product Manager https://x.com/sebgoddijn/status/2042285915435937816?s=20
- AI-Powered Customer Experience at Ramp — Ben Levick, Head of CX / Ramp AI https://ramp.com/leading-indicators/how-to-build-your-team-to-capitalize-on-ai
WHAT TO KNOW BEFORE YOU APPLY
- Schedule & Shift Bidding - Please Read Carefully: CX Associates work a set 40-hour/week schedule assigned through a schedule-bid process. Evening working hours span 6:00 PM–2:30 AM EST, and your shift will likely include a weekend day (either Sun–Thu or Tue–Sat). Associates also cover 2–3 company holidays per year on a rotating basis. Ramp's customers operate on financial deadlines that don't pause.
- The product changes frequently. If you need a stable, predictable environment, this isn't it. If you like learning new things every week, it is.
- This role is a launchpad for your career at one of the fastest-growing companies in fintech.
For candidates located in NYC or SF, the pay range for this role is $65,000-$70,000. For candidates located in all other locations, the pay range for this role is $60,000-$65,000.
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
ГибридNew York, NY (HQ); San Francisco, CA; Remote (US); Denver, CO; Miami, FL; Evening working hours span 6:00 PM–2:30 AM EST, and your shift will likely include a weekend day (either Sun–Thu or Tue–Sat); Relocation expense coverage to NYC or SF (if needed)
Location: London, England, United Kingdom
Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies.
The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them.
The Internship Program
Graham is looking for talented undergraduate and graduate students to join our team as Summer Interns. Graham’s paid internship features a structured program consisting of educational, skill-building and networking events. Learning is the cornerstone of our culture and plays an active role in the internship experience through daily collaboration and interaction with employees at all levels, in workshops, and most significantly by working on projects that matter to the fundamentals of our business. In 2027, Graham will offer in-person internship opportunities in our London office. London interns will participate in both local programming and firmwide internship programming with colleagues and interns across Graham's global offices.
Our London office will be looking to hire interns, including but not limited to the following areas:
Discretionary Portfolio Management
Quantitative Strategies
Risk Management
Technology
Requirements
Bachelors, Masters, or PhD candidate with an interest in financial markets, investment management, or the financial services industry
Prior to the start of your summer internship at Graham, you must have completed at least two (2) years of undergraduate studies
A minimum cumulative GPA of 3.5
Proficiency with Microsoft Office and/or other analytical tools relevant to the internship
Strong analytical, problem-solving and critical-thinking skills
High degree of intellectual curiosity
Ability to communicate effectively in both verbal and written form
Well-organized, detail-oriented and able to focus in a dynamic environment
Ability to prioritize and manage workload
Hard-working, diligent, and eager to learn in an intellectual and collaborative environment
Additional Qualifications for Quantitative Roles
(typically in Quantitative Strategies, Risk Management, Technology)
Working towards a degree in a quantitative field (e.g. computer science, math, engineering, etc.)
Programming skills
Other
This is an in-person internship. Interns are expected to work from their assigned Graham office Monday through Friday for the duration of the program.
Location: New York, New York, United States; Norwalk, Connecticut, United States
Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies.
The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them.
The Internship Program
Graham is looking for talented undergraduate and graduate students to join our team as Summer Interns. Graham’s paid internship features a structured program consisting of educational, skill-building and networking events. Learning is the cornerstone of our culture and plays an active role in the internship experience through daily collaboration and interaction with employees at all levels, in workshops, and most significantly by working on projects that matter to the fundamentals of our business. In 2027, Graham will offer in-person internship opportunities in our Connecticut and New York City offices. Interns will participate in firmwide programming alongside the broader intern class. Candidates will have the opportunity to indicate their preferred office location (Rowayton, CT or New York, NY) as part of the application process. Depending on business needs, candidates may be considered for opportunities in either location.
Most of our departments will be looking to hire interns, including but not limited to the following areas:
Quantitative Strategies (Systematic Alpha Generation and Quant Trading & Operations)
Discretionary Portfolio Management
Risk Management
Investor Services
Economic Research
Technology (Software Development and IT Support)
Trading Services (Financial Reporting)
Legal/Compliance
Requirements
Bachelors, Masters, or PhD candidate with an interest in financial markets, investment management, or the financial services industry
Prior to the start of your summer internship at Graham, you must have completed at least two (2) years of undergraduate studies
A minimum cumulative GPA of 3.5
Proficiency with Microsoft Office and/or other analytical tools relevant to the internship
Strong analytical, problem-solving and critical-thinking skills
High degree of intellectual curiosity
Ability to communicate effectively in both verbal and written form
Well-organized, detail-oriented and able to focus in a dynamic environment
Ability to prioritize and manage workload
Hard-working, diligent, and eager to learn in an intellectual and collaborative environment
Additional Qualifications for Quantitative Roles
(typically in Quantitative Strategies, Risk Management, Technology)
Working towards a degree in a quantitative field (e.g. computer science, math, engineering, etc.)
Programming skills
Pay Range
The anticipated hourly rate for this position ranges from $40/hr to $55/hr. The anticipated range is based on information as of the time this post was generated. The applicable hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.
Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.
Other
This is an in-person internship. Interns are expected to work from their assigned Graham office Monday through Friday for the duration of the program.
Location: EMEA; Ireland; Portugal; United Kingdom; Spain; Brazil; Canada
✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY
The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
- Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time
- Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek
- A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
- The only B Corp-certified global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. We're open to candidates based anywhere in the AMER or EMEA regions.
Role Summary
We are hiring a content marketing lead to set the company-wide direction for Oyster’s editorial narrative: the category story we tell about the future of work, the arguments our executives make in public, and the original research that HR, Finance, and Legal leaders cite when making decisions.
You will operate as an AI-first functional lead rather than a traditional editorial manager. There are no direct reports, deliberately. Your leverage will come from the AI systems and governance you design—research agents, brand-voice models, fact-checking, source verification, repurposing, and evaluation—plus the senior stakeholders, freelancers, agencies, and subject-matter experts you mobilize.
We are looking for the person who wants to find out how much editorial ambition one exceptional operator with a well-built AI stack can carry, and who will set the standard for what an AI-native content function looks like. The scope is unusual for a single role: a live audience across our library, newsletter, and podcast; a leadership team that publishes and speaks; proprietary employment data from 180+ countries; and the mandate to build this function the way it should be built, not the way it has always been done.
Key Responsibilities
Own the narrative
- Define Oyster’s long-term editorial and category strategy across Marketing, executive leadership, Product, People, Legal, and customer-facing teams.
- Resolve high-stakes narrative trade-offs and establish the positions, evidence standards, and language Oyster uses consistently across business areas.
- Own a multi-year editorial roadmap and a focused portfolio of flagship research and thought-leadership bets linked to company strategy.
- Act as the final quality bar for voice, accuracy, evidence, and taste across human- and AI-produced content.
Build company-wide AI content mechanisms
- Architect and govern reusable systems for research, brand voice, fact-checking, source verification, repurposing, evaluation, and reporting.
- Define risk-based rules for where AI leads, where humans lead, and where specialist or executive approval is mandatory.
- Establish mechanisms and standards adopted across Marketing and relevant partner teams, not only within the content workflow.
- Measure leverage through throughput, cycle time, cost, adoption, quality, and business impact; evolve the system each quarter.
Lead thought leadership and executive voice
- Set the operating model for executive publishing and advise leaders on the arguments Oyster should make publicly.
- Turn proprietary employment, salary, and hiring data into a durable original-research programme that shapes external conversation.
- Mobilize newsletter, podcast, events, PR, analyst relations, Product Marketing, partner/customer storytelling, and social around shared narratives.
Own business impact
- Connect editorial and narrative decisions to company growth, customer trust, target-account engagement, earned influence, and pipeline.
- Build reporting that enables executives and teams to make better portfolio and investment decisions.
- Identify emerging market shifts early and recommend company responses before they become obvious.
Mobilize the extended organization
- Set direction for senior stakeholders, freelancers, agencies, specialists, and subject-matter experts without relying on formal authority.
- Create decision rights, operating rhythms, and shared standards that enable multiple teams to execute consistently.
- Define the long-term roadmap and future organizational shape of the capability, including what remains expert-led, becomes a system, or requires hiring.
Core Requirements
- 8+ years in content, editorial, or brand journalism, including senior ownership of a brand narrative or thought leadership programme at a B2B technology company.
- Evidence of setting a company or category narrative that changed decisions, earned external authority, and was adopted across teams.
- A portfolio of work that earned attention on merit through citations, quotations, debate, or organic sharing.
- A demonstrated AI-first practice beyond drafting, including agents, custom workflows, evaluation, QA, governance, and adoption by others.
- Exceptional English-language editorial judgment, writing, editing, sourcing, and voice control.
- Ability to turn proprietary data and complex research into clear, defensible arguments with business relevance.
- Experience making high-leverage trade-offs and setting direction across executives and multiple functions without formal authority.
- Proven ability to build scalable mechanisms, operating standards, and roadmaps that enable others to deliver consistently.
- Genuine motivation to operate as a high-autonomy IC with no direct reports and company-critical scope.
Bonus
- Domain background in HR tech, global employment, future of work, fintech, or another compliance-heavy category.
- Experience with AI search visibility — optimising for how assistants retrieve, summarise, and cite sources.
- Multimedia range: video, podcast, or design fluency.
- Experience standing up an in-house newsroom or an original research programme.
- You have worked or lived across multiple markets, or speak more than one language.
This might not be right for you if...
- You want a people-management role now rather than a high-autonomy IC remit.
- Your AI experience is primarily prompting for drafts rather than building and evaluating systems.
- You prefer high-volume production to a small portfolio of high-conviction work.
- You are uncomfortable challenging vague, unsourced, or off-voice work—including work from senior stakeholders.
- You need a tightly defined execution plan rather than shaping a function under ambiguity.
You'll also need
- A reliable home internet connection and fluency in both written and spoken English
HOW WE WORK TOGETHER AT OYSTER
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us.
HOW YOU WORK
With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster:
- Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
- Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
- Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service.
- Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
- Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
- WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly.
✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.
About PFM
Prop Firm Match Global FZCO is a platform for discovering, comparing, and selecting top proprietary trading firms. The team is fully remote and values ownership, clear communication, and practical impact.
About the department
Customer Experience team supports traders with issues, questions about firms, promotions, loyalty rewards, and payouts via Intercom, Discord, and email, ensuring fast and quality responses.
About the role
Deliver timely, accurate, and empathetic support enabling traders to confidently use Prop Firm Match while maintaining trust with customers and partner firms.
Performance objectives
Objective 1 - Deliver exceptional customer experience:
— Respond to customer inquiries across Intercom tickets, Discord, and email.
— Review and resolve customer issues end to end.
— Tailor tone and approach to each customer's situation without sacrificing accuracy.
Objective 2 - Maintain operational excellence:
— Prioritize incoming tickets and follow established workflows.
— Document cases and keep customer records up to date.
— Escalate issues to the right team when outside scope.
Objective 3 - Ensure information accuracy:
— Verify offers, promo codes, and loyalty program submissions before responding.
— Stay current on firm rules, payout information, and policies.
— Keep FAQs and internal documentation accurate and current.
Objective 4 - Support continuous improvement:
— Report bugs and flag recurring issues to Product and Development.
— Suggest workflow improvements.
— Contribute to knowledge base updates and AI training data.
What we look for
Must have:
— Minimum 2 years of customer support or client-facing experience, ideally remote and high-volume.
— Strong written communication, clear and empathetic to non-technical customers.
— Hands-on experience with Intercom or similar helpdesk/ticketing platform.
— High attention to detail verifying specifics before responding.
— Strong time management to meet response and handling time targets without sacrificing quality.
— Comfortable investigating and troubleshooting independently before escalating.
— Professional, accountable, collaborative, works well across teams without heavy oversight.
— Available to work CET-aligned hours in a fully remote, async-first environment.
Nice to have:
— Familiarity with proprietary trading firms or prop trading industry.
— Experience using AI-assisted support tools (e.g., Intercom Fin AI).
— Experience managing or responding to public reviews (e.g., Trustpilot).
— Background in fintech, SaaS, or fast-paced digital consumer platforms.
Compensation
Up to $800 - $1,300 USD per month gross.
Location & work setup
Remote worldwide with strong overlap with CET hours.
Full-time employment.
Hiring stages
— Application screening
— Video intro + role fit questionnaire (async)
— Discovery HR interview
— Real-world task based on PFM support scenarios
— Professional interview with Head of Customer Experience
— Peer & values conversation
— Informal conversation to align expectations
— Formal written offer
— Reference check before formal offer
Additional notes
Candidates not meeting every qualification but confident in excelling are encouraged to apply.
Equal opportunity employer welcoming diverse backgrounds.
Familiarity with prop trading industry and PFM mission is valued.
Candidates with experience in related areas like trading operations, customer success, compliance, support, partnerships are invited to join Talent Pool for future roles.
Location: Lithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Belgium; Andorra; Slovenia; Malta; Italy; Montenegro; France; Latvia; Albania; Czech Republic; Greece; Slovakia; Kosovo; Yerevan; Bulgaria; Moldova; Georgia; Bosnia and Herzegovina; Poland; Czechia; Croatia
Workplace: Remote
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At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them.
If you love to learn, experiment, think boldly, make decisions, and build things that matter - you’ll feel at home with us.
WHY JOIN FOXELLI?
We are a fast-moving e-commerce company that builds our own proprietary AI infrastructure. We develop internal AI-driven systems to automate complex creative and analytical workflows, which we later scale into B2B SaaS products.
We are not looking for a traditional developer.
We are looking for an AI-Native Builder who can turn an idea into a functional prototype in days using the latest AI-assisted development tools.
THE ROLE
As a Founding AI Engineer, you will work directly with the founder to design, build, and iterate on various AI systems. The projects will vary - from computer vision and image manipulation to automated video generation and agentic data analysis. You will be responsible for the full pipeline: from R&D of the best AI models to deploying scalable web applications.
Who You Are:
- Modern Developer: You have abandoned "manual-only" coding. You are a power user of tools like GPT Codex, Claude code, and Replit, allowing you to build at a 10x pace.
- AI Generalist: You are comfortable working across different AI domains - LLMs (Text/Reasoning), Diffusion (Image/Video), and Vision models.
- Agile & Adaptive: You thrive in an environment where projects evolve. You are a fast learner who can master a new AI framework or API over a weekend.
- Hacker Mindset: You focus on ROI. You build lean MVPs, test them in our real-world e-commerce operations, and only then polish them for scale.
- Architecture-Aware: You know how to orchestrate multiple AI models into a single "Agentic" workflow that handles complex tasks autonomously.
Technical Interests:
- Stack: Next.js / Python (FastAPI).
- AI Frameworks: ComfyUI / Diffusers, IP-Adapters, ControlNet, and Agentic frameworks (LangChain/CrewAI).
- Infrastructure: Experience with Serverless GPU providers (Replicate, Fal, RunPod).
- Integrations: Skilled at connecting diverse APIs to create seamless automated systems.
Why Join Us:
- Direct Impact: Build tools that are immediately put to use in real-world business scenarios.
- Extreme Speed: No corporate red tape. If the tech works, we ship it.
- Evolution: This is a founding role with the opportunity to lead multiple product lines as we transition from internal tools to SaaS.
THE RECRUITMENT PROCESS
1. Apply - A simple form that helps us know who’s stepping into our world.
2. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space
3. Interview - A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together
FIXED SERVICE FEE
€2000- €3000 after taxes (depending on your skills, competencies, and experience).
PERKS & BENEFITS
- Full flexibility with your schedule in a fully remote setting, while Apploye ensures transparency and fairness.
- Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check.
- A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously.
- Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested.
- A budget for your home office setup so you’re comfortable working how you like and where you like.
- Strong company culture and a network of unique individuals that celebrate you.
ELIGIBILITY & LOCATION REQUIREMENTS
❕This role is 100% remote.
- Our tribe works primarily in the Eastern European Time Zone (EET - UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported.
- For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours - it keeps collaboration smooth and communication easy.
(This doesn’t apply to part-time roles.)
Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $700M 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.
ABOUT THE ROLE
We are looking for a Forward Deployed Engineer to be the technical-creative weapon behind our enterprise business.
This role is part cinematic director, part AI production engineer, part educator. You build the demos and proofs of concept that show Fortune 500 brands what's possible, then make those customers succeed in production: broadcast-grade cinematic work, repeatable workflows on the Higgsfield stack, and trained client teams that keep creating after the engagement.
The bar for this role is insanely high-quality cinematic knowledge and taste. You know why a shot works: lensing, lighting, blocking, camera movement, pacing, edit rhythm. And you know how to get that out of generative models, reliably, at commercial quality, on deadlines measured in days.
WHAT YOU'LL DO
SET UP ENTERPRISE CUSTOMERS FOR SUCCESS
- Convert client briefs into tailored, visually stunning demos and proofs of concept.
- Own the technical-creative side of pilots from kickoff to production rollout.
- Track the generative AI model landscape constantly so our work stays ahead of anything the client has seen.
DELIVER CINEMATIC WORK
- Direct and produce cinematic AI campaigns end-to-end for enterprise customers: creative direction, shot design, character and asset consistency, generation, edit, delivery.
- Set and defend a broadcast-grade quality bar that makes the platform look world-class in public.
BUILD PRODUCTION WORKFLOWS
- Turn one-off wins into repeatable pipelines: model chains, presets, prompt systems, automation (APIs, MCP, agentic workflows).
- Reverse-engineer reference ads, film looks, and visual styles into reproducible Higgsfield workflows.
EDUCATE AND ENABLE
- Train customer teams hands-on: live workshops, demos, documented workflows they actually use.
- Become a trusted creative-technical advisor to CMOs, creative directors, and production leads.
FEED THE PRODUCT
- Bring what you learn in the field back to Product, Engineering, and Research: gaps, failure modes, feature requests, new use cases.
YOUR MUST HAVES
- A portfolio of cinematic AI work at commercial quality. Portfolio first, we review every single one, and it matters more than your CV.
- 5+ years in commercial, film, or creative production; 2+ years hands-on with generative AI.
- Deep, current fluency across the generative stack: image and video models, consistency techniques, VFX and motion workflows. You can name the models, the pipelines, and exactly how you got each shot.
- Real cinematic craft: shot design, lighting, composition, storyboarding, editing. You can explain why a frame works, not just generate it.
- Proven client-facing delivery: pilots, PoCs, or commissioned productions taken from brief to finished high-end results on the client's timeline.
- Comfortable presenting to executives and running live demos under pressure.
- Ability to teach: you can make a non-technical creative team dangerous with these tools.
- High sense of ownership, drive and startup, can-do mentality. You are expected to get running on the ground from Day 1.
- High agency. Excellent English.
NICE TO HAVES
- Background in film, advertising, fashion, or e-commerce content production (director, DP, editor, creative director).
- Expert-level familiarity with each AI model, including Higgsfield's proprietary models, tools, plugins and skills
- Scripting or automation experience (Python, APIs, ComfyUI, MCP, agent pipelines).
- Prior forward deployed, solutions engineering, or sales engineering experience at an AI or creative platform.
- An existing audience or community in the AI creative ecosystem.
- Experience working with enterprise stakeholders and Fortune 500 brands.
THE DEAL
- Competitive salary in USD.
- On-site role in our Almaty office.
- Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in.
- Full-time position.
The Client Solutions & Analytics engineering team builds and maintains a suite of proprietary quantitative platforms spanning portfolio construction and optimization, retirement and defined contribution solutions, Capital Market Assumptions, multi-asset risk analytics, and institutional client intelligence tooling.
Responsibilities:
— Design and implement RESTful APIs using Python frameworks (FastAPI, Django, Tornado)
— Build and maintain data pipelines and backend services for analytics workloads
— Design and optimize database schemas across relational, NoSQL, and cloud data stores
— Work with structured and unstructured data across Snowflake, Postgres, S3, and MongoDB
— Collaborate closely with quantitative researchers, frontend engineers, and business stakeholders
— Contribute to system design and architecture decisions — scalability, reliability, security
— Monitor and troubleshoot production systems using observability tooling
Requirements:
— 9+ years of backend development experience
— Strong Python proficiency — the team's primary language
— Solid hands-on experience with Postgres, Snowflake, MongoDB, and S3
— Strong grasp of data modeling (ER design) and system design principles
— Interest in AI-assisted development and modern developer tooling
— Experience building and shipping production-grade REST APIs
We offer:
— Flexible work setup: remote model (Poland, Serbia, Georgia, Spain, Portugal, Armenia) or hybrid if desired (Poland)
— Health insurance coverage for those based in Poland
— 50% coverage of health insurance for spouses and children in Poland
— 24 days of paid vacation
— 10 days of paid sick leave
— 50% reimbursement for professional training, education, conferences
— Work alongside a highly professional team
— Engaging teambuilding events and activities
Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve. Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching.
For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products.
Please bring with you:
— Ability to apply your machine learning knowledge to solve real product problems.
— At least seven (7) years of experience as a software engineer, with at least 2 years at senior level.
— Experience in a high-performing engineering team operating at scale, whether in a scale-up or established organisation recognised for strong engineering culture.
— Strong alignment with commercial success.
— Pragmatism and bias towards action.
— Comfort with fast iteration.
Why join us?
— We’re living the golden age of AI.
— Our culture is focused on building and empowering people to work fast.
— Serving 50,000+ customers including 50% of the Fortune 500.
— Proprietary AI technology built in-house by world-class AI researchers and engineers.
— Commitment to AI safety, ethics, and security.
The hiring process includes:
— Tech Recruiter Interview (30-40min) covering technical background and experience.
— Delivery and Impact Interview (60min) deep dive into past projects and impact.
— Technical Rounds including Work Scenario Round (75-90min) and System Design Technical Discussion (60min).
— Leadership Retrospective (60min) discussing collaboration, growth, and role expectations.
— Final debrief leading to offer or end of process.
Other important info:
— Preference for role based in-office or remote in UK, Germany, Switzerland or Ireland, with possible support for remote workers elsewhere in Europe.
— Salary starts at EUR/GBP/CHF 120,000 base plus RSUs.
— Full-time employment only, no contractors.
— 25 days of leave plus local holidays.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
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 builds software that moves real money, from bill payments and corporate cards to reimbursements, accounting integrations, and travel. Our customers rely on us to keep their operations running: invoices get paid, books get closed, and finance leaders can trust the data behind every decision.
In this role, you will be the person who spots where customers are getting stuck and drives issues to a clear resolution. You will learn a complex product deeply enough to troubleshoot across payments, bank linking, accounting syncs, and card programs, then partner with teams across Engineering, Risk, Product, and Partnerships to get problems solved. This is not script-based support. You will triage, investigate, and make high-signal judgment calls throughout the day.
You will thrive in this role if you are a systems thinker and deeply customer obsessed. Support is the baseline. How you think about improving processes, tools, and outcomes is what sets you apart.
WHAT YOU’LL DO
- Be the voice of Ramp's Customer Support. You'll spend your day engaging with customers, primarily via live calls, email, and chat.
- Diagnose across a broad product surface. Ramp isn't one product — it's payments, cards, travel, accounting integrations, and more. You'll need to understand how they connect and where they break.
- Operate with an ownership mindset, managing escalations end-to-end. You take full accountability for every ticket you handle. When an issue crosses team boundaries — risk, engineering, product, partnerships — you route it correctly, follow up, and make sure the customer isn't left waiting. You'll work across Zendesk, internal tooling, and Slack-based escalation workflows.
- Build and shape AI tools, not just use them. Ramp is building AI into CX operations. You'll use AI-powered research tools and proprietary tools like Glass daily, provide direct feedback on what's working, and play an active role in how these tools evolve. You're not just a user — you're a builder. We are all builders at Ramp.
- Ship improvements, not just flag them. When you notice a process gap, a missing SOP, or a knowledge base article that's sending associates down the wrong path, you don't just raise it — you have the autonomy to roll up your sleeves and fix it. Leverage AI to solve problems, build automations, and improve the systems around you. The best people in this role make the whole team better.
- Communicate with precision and empathy. Our customers are financially sophisticated. You need to explain what's happening, what you're doing about it, and what they should expect — clearly and without filler.
WHAT YOU NEED
- You're a systems thinker: you don't just solve the ticket in front of you, you ask why the problem exists and how to prevent it from happening again.
- You actively use AI tools — Claude, Notion AI, research and workflow tools — and can demonstrate how you've applied them to get real work done. This is a hard requirement.
- You're fast-moving while holding yourself to a high bar for execution: you balance speed, accuracy, and thoroughness in every interaction.
- You can hold a technical conversation about how systems connect (APIs, bank integrations, accounting software) even if you're not writing code.
- You manage competing priorities without dropping things. When you have 15 open issues across 4 internal teams, nothing falls through.
- You write clearly and concisely. You can explain a payment reconciliation issue to a CFO without jargon.
- You're comfortable on the phone. Many interactions start there.
- You have a demonstrated track record of exceeding key performance standards, including CSAT, QA, and speed-of-service metrics.
NICE TO HAVES
- Experience building workflows or automations using AI tools, not just prompting
- Familiarity with accounting workflows (AP/AR, GL, reconciliation) or ERP integrations (NetSuite, QuickBooks, Sage)
- Background in payments infrastructure (ACH, wire transfers, card networks)
- Track record of working somewhere that shipped product fast and expected CX to keep up
WHY BE A CX ASSOCIATE AT RAMP
- Cross-functional exposure from day one. You work directly with Product, Engineering, and GTM teams — not siloed into a support queue.
- AI tools and unlimited access. Unlimited tokens, proprietary AI tools like Glass, and a culture that expects you to use them to move faster and build smarter.
- Career growth that you own. Grow within CX, explore other functions internally, or carve out a path that doesn't exist yet. If you're invested, we're invested.
- Culture that's different from a call center. Team events, in-person offsites, and a genuine commitment to building a team people want to be part of.
READ MORE ABOUT HOW RAMP THINKS ABOUT AI AND CX:
- How Ramp Became an AI-First Company — Geoff Charles, CPO https://x.com/geoffintech/status/2042002590758572377?s=20
- Inside Glass: How Ramp Built a Proprietary AI Platform for CX — Seb Goddijn, AI Product Manager https://x.com/sebgoddijn/status/2042285915435937816?s=20
- AI-Powered Customer Experience at Ramp — Ben Levick, Head of CX / Ramp AI https://ramp.com/leading-indicators/how-to-build-your-team-to-capitalize-on-ai
WHAT TO KNOW BEFORE YOU APPLY
- Schedule & Shift Bidding - Please Read Carefully: CX Associates work a set 40-hour/week schedule assigned through a schedule-bid process. Working hours span 7:00 AM–11:00 PM ET, and your shift will likely include a weekend day (either Sun–Thu or Tue–Sat). Associates also cover 2–3 company holidays per year on a rotating basis. Ramp's customers operate on financial deadlines that don't pause.
- The product changes frequently. If you need a stable, predictable environment, this isn't it. If you like learning new things every week, it is.
- This role is a launchpad for your career at one of the fastest-growing companies in fintech.
For candidates located in NYC or SF, the pay range for this role is $65,000-$70,000. For candidates located in all other locations, the pay range for this role is $60,000-$65,000.
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
Garner Health is a healthcare technology startup focused on reducing employee health insurance costs for large companies by transforming the U.S. healthcare system using proprietary clinical metrics and AI.
About the role:
We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner’s products and AI/ML workloads. This role is part of the Platform Engineering team and involves defining and upholding SLOs, leading incident response, and driving automation and standards to enable faster and more reliable shipping by engineers. The role emphasizes automation-first approaches using AI tools to convert manual operational work into monitored, hands-free processes.
Responsibilities:
— Own end-to-end reliability, performance, and resilience of cloud environments (AWS, Kubernetes), including AI/ML workloads
— Define, measure, and uphold SLOs across critical services
— Lead incident response, participate in on-call rotation, conduct root cause analysis, and review infrastructure changes
— Build and maintain monitoring, alerting, and observability systems
— Translate scaling requirements into automated infrastructure-as-code deliverables using Terraform
— Identify and implement cost-efficiency and performance improvements across the stack
— Reduce operational toil and tech debt through AI-driven automation
— Build and maintain deployment and observability standards to empower engineering teams
— Ensure infrastructure and operations comply with security and HIPAA requirements
Requirements:
— 4+ years of hands-on experience operating production cloud infrastructure at scale in SRE, DevOps, or platform engineering roles
— Deep expertise with Kubernetes and Terraform in cloud-first environments (AWS preferred)
— Strong experience with production observability: defining SLOs, monitoring, alerting, incident response, and blameless post-incident reviews
— Strong software engineering skills in Python or Go applied to infrastructure automation; experience with Kubernetes APIs is a plus
— Experience optimizing cloud cost and performance across compute, storage, and networking
— Experience supporting AI/ML or data-intensive workloads in production is a plus
— Experience in security-conscious or regulated environments (HIPAA, SOC 2) is a plus
— Familiarity or strong motivation to use AI tools (e.g., Claude) for engineering and operations workflows
— Commitment to high performance, accountability, and authentic feedback
Technologies used:
AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab
Additional information:
— Remote position with occasional travel to NYC headquarters
— No visa sponsorship available
— Compensation range: $191,000 - $226,000 per year plus equity and benefits including flexible PTO, medical/dental/vision plans, 401(k) with company match, flexible spending accounts, and Teladoc Health
— Equal Employment Opportunity employer committed to diversity and accommodations for disabilities
Location: Hong Kong, Hong Kong SAR
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
About the Liquidity Platform
The Liquidity Platform provides technology covering the full lifecycle of cryptocurrency trading, including venue connectivity, real-time market data processing, automated quoting and trading, order execution, position management, risk controls, and data analytics.
The platform connects to centralized exchanges, decentralized venues, and event contract markets worldwide. It supports spot, derivatives, and event contract products and provides stable, efficient infrastructure for our liquidity business.
About the Options Market Making Team
The Options Market Making team develops and operates automated options quoting and trading systems. Our responsibilities span market data integration, options pricing, volatility and Greeks calculations, automated quoting, order execution, position management, hedging, and risk controls.
The team owns the complete trading lifecycle and continues to advance both the multilingual development of our trading systems and our AI-native engineering practices. In this role, you will contribute across the trading system, develop an understanding of its different business domains, and take end-to-end responsibility from requirements analysis and implementation through production operation.
What You’ll Be Doing
Design, develop, and operate automated options market making systems covering market data, pricing, quoting, order execution, hedging, positions, and risk controls.
Work closely with trading, quantitative, and product teams to translate business requirements into reliable, testable production systems.
Contribute to the development of trading systems and continuously improve the performance, stability, and maintainability of critical trading paths.
Follow an AI-native engineering approach by applying AI coding tools to requirements analysis, technical design, development, testing, and code review, while remaining accountable for the quality of the final delivery.
Improve testing, monitoring, alerting, and recovery capabilities, and participate in incident resolution and post-incident reviews.
Own the technical design and code review of core modules. Senior and Staff engineers will also lead cross-module projects and architectural evolution.
What We Look For In You
Bachelor's degree or above in Computer Science, Software Engineering, Mathematics, Physics, or a related discipline.
At least two years of experience in backend engineering, real-time systems, infrastructure, or trading systems.
Proficiency in at least one of Java, Rust, or C++, with the ability to work effectively in a multilingual codebase.
Strong computer science fundamentals, including operating systems, network communication, multithreading, concurrent programming, and distributed systems.
Proficiency in using AI coding tools for requirements analysis, development, testing, and code review, with the ability to independently evaluate and validate AI-generated designs and code.
Strong analytical skills, business understanding, ownership, and communication skills, including the ability to read technical materials and communicate in written English.
Technical Requirements
Proficiency in developing production systems with Java 17+, Rust, or C++, with the ability to design, implement, and troubleshoot within a multilingual codebase.
Familiarity with Linux development and runtime environments, including the use of common tools for resource analysis, performance diagnostics, and troubleshooting.
Experience with multithreading, asynchronous processing, network I/O, and high-performance data structures, with an understanding of lock contention, memory allocation, caching, garbage collection, and their impact on latency.
Ability to use AI coding tools to support requirements analysis, development, testing, and code review, while independently validating the correctness and production safety of generated code.
Familiarity with TCP, UDP, WebSocket, HTTP, or proprietary exchange protocols, with experience developing real-time data or trading interfaces.
Ability to design and optimize high-throughput, low-latency systems and identify bottlenecks through profiling, benchmarking, and production metrics.
Familiarity with real-time messaging and inter-process communication. Experience with Aeron, shared memory, lock-free queues, or binary protocols is preferred.
Experience building logging, metrics, alerting, and automated recovery capabilities for continuously operating production systems.
Familiarity with build and dependency management for large multi-module projects, together with experience in unit testing, integration testing, and continuous integration.
Preferred Qualifications
Experience in options market making, quantitative trading, exchange connectivity, market data, order management, quoting, hedging, or risk systems.
Understanding of order books, order lifecycles, and market microstructure.
Understanding of options pricing, volatility, Greeks, PnL, inventory risk, and dynamic hedging.
Experience developing low-latency trading systems, real-time market data systems, or high-performance network services.
Experience evolving multilingual systems or separating performance-sensitive components.
Experience with market data replay, strategy simulation, trade reconciliation, or production incident resolution.
Experience using Python for data analysis, backtesting, or production diagnostics.
Practical experience using AI coding tools such as Claude Code or Codex in production projects.
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: Gurgaon, India
Workplace: hybrid
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
Job Reference: #LI-JC1
Role Purpose
Manages complex, strategic AI training data projects. Owns end-to-end delivery, client relationships, and financial outcomes. Guides Project Coordinators, executes quality strategy in partnership with quality team, and drives process improvements and new service pilots. Assists in the management of complex projects that enable Generative AI capabilities for clients, guiding project coordinators and partnering with Quality on standards and continuous improvement.
Key Responsibilities
Program & Delivery Leadership: Execute delivery plans, milestones, resourcing, and controls for large or multi-workstream AI data projects (collection, labeling, evaluation).
Client Management: Contribute to regular governance, status, and planning sessions; handle scope, priorities, and change.
Financial Ownership: Track budgets, rates, and margins; manage forecasts, burn, and change orders to protect profitability.
Quality Partnership: Share accountability with the Quality Analyst team for QA approach and continuous improvement loops.
Resource & Capacity Planning: Plan and secure rater/annotator capacity; align training, shifts, and handoffs across time zones.
Risk, Issue & Change Control: Run root-cause and corrective actions; escalate material risks with options and impact.
Process & Service Innovation: Contribute to SOPs, templates, and dashboards; pilot new delivery methods and services for AI data programs.
Compliance & Security: Ensure data handling, privacy, and security policies are followed across all workstreams.
Reporting & Insights: Keep trackers and dashboards current; translate delivery data into clear, actionable insights for clients and leaders.
Requirements
Education
Bachelor’s degree or equivalent experience in business, data/operations, engineering, or related fields
Experience
1+ years leading complex project delivery or operations (AI data, content review, annotation, labeling, or adjacent domains)
Experience coordinating multi-team delivery and managing client touchpoints
Skills
Strong planning and organization across parallel workstreams
Clear written and spoken communication with senior client stakeholders
Solid use of spreadsheets, PM/task boards, and basic BI; comfort with ETL concepts is a plus
Quality mindset with practical use of SOPs, QA gates, and acceptance criteria
Financial awareness (budgets, margin, change orders) and sound trade-off judgment
Coaching ability for junior PMs and Coordinators
Confident escalation and negotiation to resolve risks, issues, and scope questions
Comfortable working with global, distributed teams (intermediate to advanced English)
Additional Qualifications (P1+)
Near-native English with strong writing and editorial skills
Hands-on experience with generative AI tools (text, voice, or video)
Background in QA testing, rubric design, or AI safety/ethics evaluation
Familiarity with data-annotation platforms and model-evaluation tools
Ability to interpret code, datasets, and system workflows at a conceptual level (no coding required)
Able to work independently and manage workflows effectively in a remote environment
Multilingual ability beyond English
Scope & Autonomy (P1 Alignment)
Assists in leading one large strategic project or several medium projects end-to-end
Executes delivery approach within scope, budget, and policies; escalates only non-standard or high-impact items
Provides day-to-day direction to a small delivery pod (e.g., 2–8 Junior PMs/Coordinators) and influences cross-functional partners
Shares accountability for quality outcomes with the Quality Analyst.
Who we are
At OneSoil, we’re building tools that empower farmers and agribusinesses worldwide. Our mobile and web apps help monitor fields, optimize inputs, and increase yields using satellite imagery and proprietary AI models. OneSoil is headquartered in Zurich, with offices in Poland, Ukraine, and Cyprus. Our technology is used across 4% of the world’s cropland. This year, we became the first company to launch an AI Agronomist globally.
What You’ll Do
Lead and grow a product-focused backend team.
Hire, mentor, and develop engineers to reach their full potential.
Shape the technical vision and architecture of our backend systems, ensuring scalability, security, and high availability.
Drive the delivery of backend features in collaboration with product managers, designers, and AI/ML engineers.
Foster a culture of technical excellence and ownership within the team.
Build products that leverage modern AI models to deliver value to farmers worldwide.
Improve development processes and team workflows to ensure consistent and timely delivery.
Act as a hands-on technical leader: design and review solutions, unblock the team, and contribute to critical code when needed.
You’re a Great Fit If You Have
5+ years of backend development experience, with strong Python expertise.
Experience leading and scaling a product engineering team.
Strong expertise in Python 3.12+, Django 4+, Django REST Framework, Celery, pytest, Redis, PostgreSQL, Docker, RabbitMQ, and AWS.
Familiarity with FastAPI and Kubernetes.
Bonus points for experience with PostGIS, Helm, or ArgoCD.
A track record of building and shipping scalable SaaS products.
A solid understanding of Agile methodologies and the ability to align engineering with product goals.
A passion for mentoring engineers and building healthy, high-performing teams.
Curiosity and excitement about AI/ML-driven products.
Proficiency in Ukrainian is a plus.
What We Offer
A distributed international team with the flexibility to work from anywhere.
A product that is changing how agriculture works and creating value for farmers worldwide.
A key role in defining our technical and team strategy as we scale.
Location: Armenia; Czech Republic; Poland; Serbia
Who we are
We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account.
We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want.
Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders.
Our culture
Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it.
That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones.
About the Role
As the business grows and introduces increasingly sophisticated financial products, we are looking for an experienced professional to take ownership of our financial data ecosystem: improving cost and revenue collection methodologies, strengthening reconciliation processes, and driving deeper analytical insight for management.
Reporting Line:
Head of Business Intelligence
Location:
Remote
Responsibilities
Review and redesign existing cost and revenue collection processes from external counterparties
Develop scalable methodologies for integrating new financial products into the accounting and reporting ecosystem
Design automated validation and control mechanisms that improve financial data quality
Review and audit the current Activity-Based Costing (ABC) methodology
Investigate discrepancies and work with Finance, Operations, and Technology to resolve root causes
Manage multiple reporting scopes with varying legal entity inclusion and exclusion rules
Support ad-hoc reporting requests during corporate transactions
Qualifications
Strong understanding of financial reporting and accounting principles
Experience working with General Ledger data
Experience designing reconciliation or financial control processes
Strong analytical mindset, with the ability to investigate complex financial data
Experience working with SQL and large datasets
Ability to understand end-to-end financial processes rather than isolated reports
Excellent communication skills, including the ability to explain complex findings to both technical and non-technical stakeholders
Personality / Mindset
Integrity & loyalty
Team player with advanced communication and collaboration skills
A hands-on, can-do attitude - always looking for solutions and thinking out of the box
Overachiever mentality
Capability to work and succeed in a fast-paced and ever-changing environment
We Offer*
Competitive salary
Corporate benefits (choose your preferred options)
Truly inspiring culture, pleasant and informal work environment
Ongoing education & training programs
Opportunity to network and connect in the Corporate Events
Global career opportunities
*Benefits/perks vary depending on the nature of your employment with the company and the country where you work
EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/.
We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention.
Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.
СтажёрLondon, England, United Kingdom
СтажёрNew York, New York, United States; Norwalk, Connecticut, United States
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leadEMEA; Ireland; Portugal; United Kingdom; Spain; Brazil; Canada
УдалённоГеография найма не уточнена
УдалённоLithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Belgium; Andorra; Slovenia; Malta; Italy; Montenegro; France; Latvia; Albania; Czech Republic; Greece; Slovakia; Kosovo; Yerevan; Bulgaria; Moldova; Georgia; Bosnia and Herzegovina; Poland; Czechia; Croatia; Our tribe works primarily in the Eastern European Time Zone (EET - UTC+2/UTC+3); We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported
ОфисAlmaty, Kazakhstan; Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in
juniorSingapore
УдалённоГеография найма не уточнена
География найма не уточнена
Montevideo
ГибридNew York, NY (HQ); San Francisco, CA; Remote (US); Working hours span 7:00 AM–11:00 PM ET, and your shift will likely include a weekend day (either Sun–Thu or Tue–Sat); Relocation expense coverage to NYC or SF (if needed)
УдалённоseniorСША
seniorГеография найма не уточнена
ГибридGurgaon, India; Resource & Capacity Planning: Plan and secure rater/annotator capacity; align training, shifts, and handoffs across time zones
seniorArmenia; Czech Republic; Poland; Serbia
Все вакансии в одном месте — страница 3 · Job Hunters
