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Location: chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus We are seeking a US Equity Index Trader to join our US Options Trading team. How you will make an impact Actively trade US index and equity options, managing positions and risk. Analyze market flows, volatility, and microstructure to identify and capture trading opportunities Refine pricing, execution, and risk management approaches to improve trading performance Conduct post-trade analysis to evaluate decisions, optimize strategies, and drive systematic improvements Contribute to the development of tools, monitoring, and processes that enhance trading stability and scalability Partner closely with risk management, researchers and developers during live trading and high-pressure situations You will be right at home if you have Proven experience as an Index Options Trader, with exposure to US markets or similar equity derivatives Strong track record of trading performance and disciplined risk management Deep understanding of options theory, volatility, and market microstructure Comfortable trading both systematic and discretionary when required Calm under pressure, with the ability to quickly diagnose and act on trading problems Strong analytics, detail-oriented, and proactive in identifying improvements Strong communicator who thrives in a collaborative, team-based environment Passionate about markets, with a continuous drive to learn and improve The annual base salary range for this position is $250,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-AC]

Location: New York Workplace: OnSite ABOUT ARCA Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy. So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has. That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own. It's a $20T market, and we think it's ready to be rebuilt. — Rron, CEO THE RECEIPTS - Stage: Series A, $64M raised - Backed by: General Catalyst, Index Ventures, Venrock - Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money) THE TEAM We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean. We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours. THE ROLE As a Member of Technical Staff focused on Platform, you'll own the foundation everything else runs on. The infrastructure, backend systems, and developer experience that let a small engineering team ship agents into a regulated, high-stakes domain without slowing down. One framing we keep coming back to: agents are the primary users of our system of record, and they operate at scale, across every client, all the time. That puts unusual demands on the platform underneath — reliability, cost, and performance aren't afterthoughts, they're the product. If you build it, you own it. WHAT YOU'LL BUILD (AND OWN) - Core infrastructure and backend systems. The services, data stores, and APIs that everything else is built on—designed for a workload where non-human agents are the heaviest, most constant users. This is what lets the rest of the team move fast without the ground shifting under them. - Safe execution for agents. The sandbox where agents write and run code and take real actions, plus the controls that let them reach our backend and databases without doing damage—versioned SDKs, scoped permissions, rate limits, isolation. - Developer experience and internal efficiency. The build, test, deploy, and observability tooling that determines how fast a small engineering team can ship. In a team this small, the leverage of good internal tooling is enormous: every hour you save the team compounds across every acquisition we take on. - Performance and cost. The systems that keep agents fast and correct under real load, and keep our infrastructure spend sane as we scale across four or five acquisitions this year. An agent that's slow, flaky, or ruinously expensive to run isn't shippable. EXAMPLE PROBLEMS YOU'D WORK ON These aren't hypothetical; we're actively working on versions of all of these. - A sandbox where agents can safely write and run code. Our agents don't just call APIs—they write and execute code and take real actions. You'll build the sandbox that makes this safe: how we deploy it, how we version the SDKs agents write against, and how we give agents access to our backend and databases without letting them do damage—rate limits, scoped permissions, isolation. Get this right and agents can do far more, far more safely. - Cloud agents that triage and fix bugs. With a small engineering team shipping into a high-stakes domain, engineering time is our scarcest resource. You'll build agents that live in our infrastructure—triaging incoming bugs, reproducing them, localizing the cause, and proposing or landing fixes—so the team spends its time on problems that actually need a human. Internal leverage that compounds across every acquisition. - Powering the M&A acquisition engine. Growth runs through acquiring RIA firms, and every one arrives with its own stack—a CRM last updated in 2011, a proprietary custodian export, IT systems held together by a decade of habit. You'll build the infrastructure that onboards a new firm and its existing systems onto our platform fast, without a bespoke project every time. The faster and cleaner this gets, the faster we grow. - Querying years of portfolio data at agent speed. Agents need to reason over years of portfolio performance history, and they need it instantly—without hammering the systems that keep the product running. You'll build the read paths, stores, and deep integrations with custodians and performance-reporting providers that let agents query deep history quickly while keeping our backend systems isolated and healthy. - Maturing our backend. The platform is live and proven; now it has to scale across four or five acquisitions this year. You'll level up the foundation—data warehouses, pipelines, and the core systems everything runs on—so it holds up as data volume and agent load grow. THE KIND OF PERSON WHO THRIVES HERE You’re excited by ownership, ambiguity, and building things that matter. - You think in systems and take ownership of the whole stack. You're happiest when you understand how something works end to end, and you instinctively leave infrastructure better instrumented and better understood than you found it. You know "tech debt vs. shipping" is a false tradeoff here—the platform is the thing that lets everyone else ship, so its health is a feature, not a chore. - You're ambitious in a way specific to this work. You're building for people who manage real retirement savings and estate plans. "Good enough" means something different here. You'll rebuild something that works because you know it won't hold through the next acquisition—and that standard motivates you more than shipping faster than last sprint. - You move fast, and you know speed and reliability aren't in tension here. Advisors depend on what you build every day. Breaking prod isn't something you wait until Monday to fix. - You're someone people actually want to be in the room with. This is a small, tight-knit team in one office, five days a week, working on problems that don't have clean answers. The people who thrive here want to argue about architecture at lunch and then build something together in the afternoon. Kind, direct, and low-ego, you can give candid feedback without being an asshole, and you're genuinely energized by this environment (not just tolerant of it). WHY NOW IS THE MOMENT TO JOIN This is a narrow window with unusually high leverage. - We just came out of stealth, and we're growing fast. The team is intentionally small, the equity reflects that, and the ceiling is high. You'd be joining early enough that the work you do now directly shapes what the company becomes and what's possible next. - The advisor-facing product is being defined right now, by a small team that talks to advisors every day. We've just brought on our second firm—the real inflection point, where we start separating what generalizes from what was bespoke. The patterns you set become the foundation for every acquisition that follows. - The consumer product is a blank page. We've never built directly for consumers until now—no legacy, no template. Whoever takes this on defines what the experience even is. - The hard part is behind us, which means the interesting part is starting. The platform is live, the concept is proven, advisors have moved real client assets onto it. The work now is scaling a working system across four or five acquisitions this year—workflows, data, agents, reliability under real load.

Location: Ukraine; Serbia; Romania; Kazakhstan; United States; United Kingdom; Poland Workplace: Remote About the company Turning marketing into a market-domination weapon, iSpeedToLead created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: they can see key details before buying, with more transparency, control, and predictable outcomes. iSpeedToLead helps real estate wholesalers, investors, flippers, and increasingly agents buy motivated home-seller leads through a live lead marketplace built for speed, visibility, and performance. Role overview We’re looking for a video editor who understands dynamic editing, can build engaging videos with strong retention, and selects footage based on meaning — not just aesthetics. This person should be able to independently source materials such as stock footage, references, B-roll, memes, and AI-generated visuals, and turn them into compelling short-form content. Must-have skills - Strong understanding of dynamic editing: pacing, hooks, rhythm, and attention retention. - Ability to edit based on story and meaning, not just music or visuals. - Can independently find and select footage such as B-roll, stock, and references. - Experience with short-form content including Reels, Shorts, TikTok, and ads. - Ability to add captions/subtitles, basic motion graphics, zooms, transitions, and highlights. - Understands how to capture attention in the first 3–5 seconds. - Fast turnaround and ability to iterate based on feedback. - Nice to have: experience with AI tools for generating or sourcing visuals. This is not for you if - You focus only on nice-looking edits without understanding the message. - You rely fully on provided materials and cannot source content independently. - You do not understand the difference between basic and dynamic editing. - You cannot explain why specific visuals were chosen. - You produce slow-paced edits with weak engagement. - You struggle with feedback or revisions.

Location: Dubai, United Arab Emirates We are looking for a dedicated and experienced Site Nurse to join our team and provide primary healthcare services at our construction site. The ideal candidate will be responsible for ensuring the health and safety of employees by providing first aid, managing medical emergencies, maintaining medical records, and promoting workplace wellness in compliance with UAE regulations. This role is ideal for a proactive healthcare professional who is comfortable working in a fast-paced construction environment and can respond effectively to workplace incidents. Key Responsibilities Provide immediate first aid and emergency medical treatment to employees and visitors on site. Assess injuries and illnesses and determine whether further medical attention or hospitalization is required. Monitor the health and wellbeing of employees and maintain accurate medical records. Administer prescribed medications and basic treatments within the scope of practice. Coordinate emergency response procedures and arrange ambulance services when necessary. Conduct regular inspections of first aid kits and ensure medical supplies are fully stocked. Assist in implementing occupational health and safety programs. Promote health awareness and educate employees on workplace safety and preventive healthcare. Support pre-employment and periodic medical examinations where required. Maintain confidential medical documentation in accordance with company policies and UAE regulations. Work closely with the HSE team to investigate workplace incidents and recommend preventive measures. Ensure compliance with DHA/MOH/DOH regulations and company health and safety policies. Requirements Bachelor's Degree or Diploma in Nursing. Valid DHA, MOH, or DOH Nursing License (or eligibility to obtain one). Minimum 2-3 years of nursing experience, preferably in a construction, industrial, or occupational health environment. Certification in Basic Life Support (BLS) is mandatory. ACLS is an advantage . Strong knowledge of workplace health and safety procedures. Excellent emergency response and first aid skills. Good communication and interpersonal skills. Ability to work independently and remain calm under pressure. Strong documentation and record-keeping skills. Proficient in Microsoft Office applications. Benefits Competitive salary package Employment visa Medical insurance Food, Transport and Accommodation Annual paid leave Career growth opportunities within a leading real estate development and construction company Professional and supportive work environment

Location: Uzbekistan; Georgia; Armenia; Kazakhstan; Poland; Serbia We help aspiring and experienced brokers develop practical expertise and build careers in Dubai’s real estate market. We offer in-person and online learning formats. We are looking for a Sales Manager to consult prospective students, manage warm leads, and guide clients through the full sales process Responsibilities: Consult warm leads provided by the marketing team and sell educational programs Communicate with clients primarily in English via WhatsApp, e-mail, phone calls Identify clients’ needs, present relevant training options, handle objections, and close deals Maintain accurate lead records and sales pipeline in AmoCRM Follow up with prospective clients and achieve individual sales targets Collaborate with the sales lead and the wider team to improve sales processes and communication scripts Requirements At least 1 year of sales experience, preferably in B2C sales English proficiency at B2 level or above, both spoen and written Russian proficiency will be an advantage, as part of the team is Russian-speaking Experience with CRM systems; AmoCRM experience is a plus Strong communication, negotiation, and client-consulting skills Ability to work independently in a remote environment Experience in real estate, education, courses, or premium services will be an advantage, but is not required Benefits Fully remote cooperation from any location Flexible compensation structure: fixed salary plus commission per sale (discussed individually). If this opportunity sounds like a good fit for you, we look forward to receiving your application! Thank you !

Location: Netherlands; Romania; Bulgaria; Canada; Serbia; Germany; United States; Spain; Hungary; United Kingdom; Portugal; Moldova; Poland Workplace: Remote ABOUT THE COMPANY Turning marketing into a market-domination weapon, we created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy — full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. ROLE OVERVIEW We're looking for a Senior AI Product Engineer to build the AI operating layer behind our marketplace. You take a valuable but unclear business problem — improve lead quality, cut refunds, automate a manual workflow, extract intelligence from calls — and turn it into a dependable production system end-to-end: investigate, define success, design, build, deploy, and improve on real usage data. You are a one-person AI product team for high-leverage problems, not a spec-taker. We are expanding beyond real estate into new service-business niches, and growth is powered by reusable software and automation — not proportional growth in manual work. Every system you ship either compounds into that leverage or exposes where it leaks — no in-between. WHY THIS ROLE EXISTS Our growth is not limited by ideas or data — we already run 40K+ members, 750+ verified daily leads, and 50B data points powering AI. It's limited by how fast we can turn ambiguous, high-value problems into shipped AI systems that actually move business metrics. We need a builder who owns the complete production outcome — not a prompt tinkerer, not a researcher, not a PM who delegates the build. REQUIREMENTS: - Strong record of building and shipping production software end-to-end, ideally in a SaaS, marketplace, or workflow product — with real users and real revenue on the line. - Strong Python and/or TypeScript, plus solid backend fundamentals: APIs, databases, auth, data models, testing, and deployment. - Hands-on experience shipping LLM-powered functionality using model APIs, structured outputs, tool/function calling, retrieval, context engineering, and agentic workflows. - Production automation experience: webhooks, events, queues, schedules, retries, idempotency, monitoring, and failure recovery — not just happy-path demos. - Practical evaluation skills: test sets, traces, quality metrics, regression checks, feedback loops, and root-causing real production failures. - Daily fluency with AI coding agents (Claude Code, Codex, Cursor, or equivalent) — you review, test, refactor, and secure generated work, not ship it raw. - English C1+; our stakeholders, users, and business owners are US-based, and communication must be sharp and clear. - AI-first by default — if you are not already using AI to 3x your own output, you will be behind the rest of engineering. - Product ownership and strong judgment in ambiguous, fast-moving environments — you clarify goals, make tradeoffs, and connect every technical decision to a business KPI. WHAT YOU'LL BE DOING: - Discover high-value product and operational problems by working directly with users, business owners, and internal teams, then frame clear success criteria before writing code. - Design and ship customer-facing AI features and internal automations across lead quality, matching, prediction, call intelligence, CRM, support, and operations. - Build agents and workflows that safely use tools, APIs, databases, calls, SMS, email, and other company systems — with human approval where risk requires it. - Create the context layer around models: instructions, retrieval, memory, structured outputs, tool definitions, permissions, and feedback loops. - Build reliable event-driven and scheduled automation using webhooks, queues, schedulers, retries, idempotency, audit logs, and graceful fallbacks. - Create evaluation datasets and automated checks that measure usefulness, accuracy, failure modes, regressions, latency, and cost — before and after release. - Investigate real production failures and improve the complete system, not just the prompt or the model response. - Turn successful solutions into reusable components and patterns that support additional iSpeedToLead niches without rebuilding from zero. - Own architecture, quality, security, and business outcomes — not just the pull request. THIS IS NOT FOR YOU IF - You want a prompt-only role or a research position focused on training foundation models. - You do no-code-only automation and can't own real production code. - You call yourself a product manager who delegates the build. - You ship unreviewed "vibe coding" and call it done. - You need a complete spec before you can start. - You optimize for demo quality instead of measurable business impact. WHAT WE EXPECT FROM YOU (FIRST 3 MONTHS) We don't do long onboarding: access on day one, context in days, first shipped improvement in the first 30. - Days 1–30 — Understand and ship: you have learned the product, data, and workflows, identified the best first problem with evidence, and released one useful, low-risk improvement in production. - Days 31–60 — Own the workflow: you have launched one meaningful AI product or automation with evaluation, monitoring, clear ownership, and a human fallback — running against real marketplace volume. - Days 61–90 (the bar) — Prove and repeat: the system shows measurable business impact (fewer manual hours, faster verification, lower refunds, better matching, higher conversion, or shorter time from idea to production), reliability is proven, and the solution is turned into a reusable pattern for future workflows or niches. NICE TO HAVE: - Voice AI, call transcription, telephony, SMS, email, CRM, or customer-support automation experience. - Lead generation, marketplaces, real estate, sales technology, or marketing automation background. - Ranking, scoring, prediction, experimentation, or data pipeline experience. - Cloud deployment, Docker, CI/CD, observability, security, and handling sensitive customer data. - MCP, vector search, LangGraph or equivalent orchestration, Temporal, n8n, or custom workflow engines. - Track record taking a product or automation from zero to one in a fast-moving startup. WHAT WE OFFER: - Impact: Own visible, high-value problems with direct access to decision-makers, users, and production feedback at the core of a product-led, AI-powered marketplace. - Autonomy: High ownership, low bureaucracy, and real authority to choose tools based on results and define the reusable AI architecture for multiple future niches. - Flexibility: Remote-first culture with flexible hours and async-friendly communication. 4+ hour overlap with Asia/Dubai required for weekly reviews. - Compensation: Competitive fixed base salary above the market average. - Team: Join a smart, passionate team that moves fast, supports each other, and builds cool stuff. - Time Off: 15 paid vacation days plus 5 paid sick days annually. - Growth: Unlimited learning policy — paid courses, books, and growth resources. - AI-Heavy Environment: AI is deeply embedded across prospecting, research, engineering, and workflows. - Ownership: Real decision-making power and direct ownership of your outcomes. Location: Remote, 4+ hour overlap with Asia/Dubai

Location: New York, New York, United States About the Role iCapital is seeking a Vice President, Private Markets Strategist to join the Investment Strategy team. This individual will play a key role in expanding the team's private markets coverage and supporting the growing demand for private market insights across advisors, clients, and internal stakeholders. Working alongside other investment strategists and private markets specialists, this role will help strengthen the team's collective research capabilities and thought leadership efforts as iCapital's private markets platform and client engagement activities continue to scale. This person will complement key macro and public market research output, while aiding iCapital’s total portfolio approach. The ideal candidate will possess deep private markets expertise and the ability to translate complex research and investment themes into clear, actionable messaging for financial advisors, clients, and distribution teams. This individual will serve as a strategic partner to iCapital's Alternative Distribution team, helping advisors better understand private market opportunities, market developments, portfolio applications, and evolving client needs. As advisor demand for education, portfolio guidance, and differentiated insights continues to grow, this role will help bridge investment research and commercial engagement efforts across the firm. Responsibilities Conduct in-depth research and analysis across private equity, venture, private credit, infrastructure, real estate, secondaries, and other alternative investment strategies. Develop differentiated viewpoints on private markets, including market trends, portfolio construction considerations and evolving investor adoption patterns. Translate market research, investment data, and industry developments into actionable insights, advisor education materials, presentations, white papers, market commentaries, and client-facing content. Partner closely with other members of the Investment Strategy team to enhance private markets coverage within broader asset allocation, market outlook, and thought leadership initiatives. Collaborate with the Alternative Distribution team to support advisor engagement, strategic client conversations, educational events, and business development opportunities. Serve as a subject matter expert during client meetings, advisor education sessions, conferences, webinars, and internal training programs. Monitor industry trends, fund flows, regulatory developments, and competitive dynamics impacting private markets and alternative investments. Leverage internal and external data sources to identify emerging themes and develop insights that inform investment narratives and client messaging. Utilize analytical tools, technology, and AI-enabled research methodologies to improve research efficiency, uncover investment insights, and support scalable content creation. Partner with Product, Research, Due Diligence, Distribution, and Client Solutions teams to ensure investment views and messaging remain aligned and relevant to evolving client needs. Contribute to the development of repeatable research frameworks, knowledge resources, and scalable content supporting iCapital's expanding private markets platform. Qualifications 8+ years of experience in private markets, alternative investments, asset management, investment strategy, investment research, or related investment functions Deep expertise across private market asset classes, including private equity, private credit, infrastructure, real estate, and related alternative investment strategies Strong analytical and quantitative capabilities with the ability to synthesize complex datasets into clear investment insights Experience working with investment data platforms and technology-enabled research tools; familiarity with AI-driven research and analytics applications is highly desirable Demonstrated ability to develop independent, differentiated investment viewpoints supported by rigorous analysis Proven experience translating investment research into compelling client-facing content, presentations, thought leadership, and advisor education materials Strong collaboration skills and a track record of working effectively across investment, product, distribution, research, and client-facing teams Excellent written, verbal, and presentation skills with the ability to communicate complex investment topics to sophisticated audiences Experience engaging directly with financial advisors, wealth management firms, institutional investors, or distribution teams is preferred Proficiency with Excel and familiar with Bloomberg, PitchBook, Preqin, FactSet, or similar investment research platforms Able to manage multiple priorities in a fast-paced environment while maintaining exceptional attention to detail Benefits The base salary range for this role is $160,000 to $200,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Ukraine; Romania; Georgia; Bulgaria; Serbia; Indonesia; Germany; Kazakhstan; Spain; Armenia; Portugal; Philippines; Poland Workplace: Remote About the company Turning marketing into a market-domination weapon, we created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy — full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. Role overview We're looking for a Funnel Strategist to own the top of our acquisition engine. You build, test, and optimize funnels that turn cold traffic into qualified leads and booked calls — not maintain a handful of landing pages. Our growth is not limited by ad budget; it's limited by how fast we can ship new funnels, hooks, offers, and angles. Your job is to remove that ceiling. We're about to significantly scale paid spend. Every funnel you ship either compounds that spend into revenue or exposes where it leaks — no in-between. Requirements: 3+ years building high-converting funnels and landing pages in a direct-response environment, with real revenue attached to your work. Deep understanding of direct-response marketing and conversion psychology — you can name why a page converts, not just that it does. Hands-on with funnel builders like ClickFunnels, GoHighLevel, Webflow, or equivalent — you build, you don't brief. Working knowledge of Meta Ads, Google Ads, and core funnel metrics (CPL, CPA, CVR, CAC, ROAS) — you optimize with traffic teams, not around them. Shipped and analyzed A/B tests where the result actually changed the next decision. Strong copywriting for landing pages, lead magnets, and hooks — sharp, benefit-driven, no fluff. English C1+; our market is US-based and every headline, hook, and CTA must land with American buyers. AI-first by default — if you are not using AI to 3x your funnel, copy, and asset output, you will be behind. High ownership and strong decision-making in ambiguous, fast-moving environments. What You'll Be Doing: Build complete funnels from scratch — opt-in pages, lead magnet flows, webinar/VSL funnels, call-booking funnels, and follow-up sequences — end-to-end, not in pieces. Create and test new marketing angles, hooks, and offers on a continuous cadence, not in quarterly batches. Develop lead magnets that convert cold traffic into qualified leads the sales team actually wants to call. Build funnels that consistently generate booked calls for sales, and own the number — not just the pages. Reverse-engineer competitor funnels weekly, identify what's working, and ship an improved version before the trend cools. Adapt proven funnel concepts from adjacent industries into our market instead of reinventing from zero. Launch experiments fast, analyze performance with the traffic team, kill weak ideas without ego, and scale winners aggressively. Pair tightly with paid media, sales, and design — no over-the-wall handoffs; you stay in until the funnel is live and measured. Track CPL, CVR, show rate, and booked-call rate per funnel and know which lever to pull before it becomes a problem. This is not for you if You maintain a few landing pages and call it a funnel strategy. You need a brief, a designer, and a developer before you can ship anything. You've never watched your own funnel burn ad spend in real time and had to fix it same-day. You call yourself a "growth strategist" but have never built a page yourself. You want to A/B test button colors instead of offers, hooks, and mechanisms. You want the winning angle handed to you — finding it is the job. What we expect from you (first 3 months) We don't do long onboarding: access on day one, context in days, a live funnel in week one. End of week 1: you have audited every live funnel, mapped current CPL and booked-call economics end-to-end, and identified the top 5 leaks with evidence. End of month 1: you have shipped your first new funnel from scratch, launched at least 3 angle/hook/offer tests against the current control, and killed or scaled based on results. End of quarter 1 (the bar): at least one new funnel is beating the control and running on scaled paid spend, a competitor-informed funnel is live, and the concept-to-live-funnel turnaround is established at under 7 days. Nice to Have: Experience in lead generation, marketplace, real estate, coaching, or high-ticket B2C/B2B funnels. Track record scaling paid spend profitably alongside a media buyer, not just optimizing organic. Experience with VSLs, webinars, and long-form direct-response mechanisms. Familiarity with AI-driven copy, page generation, and creative iteration workflows. Design sensibility strong enough to ship a clean page without waiting on a designer. What We Offer: Impact: Own the funnel layer of a product-led, AI-powered marketplace where your work directly compounds paid spend into revenue. Autonomy: High ownership, low bureaucracy, and real authority over funnel direction and testing roadmap. Flexibility: Remote — CIS & Europe preferred; Philippines and Indonesia welcome. Flexible hours, async-friendly. Compensation: Competitive fixed base salary above the market average. Team: Join a smart, passionate team that moves fast, supports each other, and builds cool stuff. Time Off: 15 paid vacation days plus 5 paid sick days annually. Growth: Unlimited learning policy — paid courses, books, and growth resources. AI-Heavy Environment: AI is deeply embedded across prospecting, research, and workflows. Ownership: Real decision-making power and direct ownership of your outcomes. Remote — CIS & Europe preferred; Philippines and Indonesia welcome.

Location: United States; Romania; Pakistan; Georgia; Bulgaria; Canada; Egypt; Serbia; India; Indonesia; Germany; Kazakhstan; Ukraine; Spain; Netherlands; Hungary; United Kingdom; Portugal; Moldova; Philippines; Poland Workplace: Remote About the company Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. Role overview We're looking for a Head of Outbound Sales to build and scale iSpeedToLead's outbound motion from zero, with a focus on large accounts, multi-seat deals, and annual contracts. You'll define the target account list, close the first deals yourself, build the playbook, and then hire and lead the team behind it. This role exists to turn outbound into a predictable revenue engine with a clear target - $250K/month in outbound-driven revenue within 6 months. What You'll Be Doing: Build the outbound sales motion from scratch - target accounts, messaging, sequences, qualification criteria, sales process, and reporting Define and prioritize the account list for large-account acquisition, including account scoring, tiering, territory logic, and buying-committee mapping Run 1:1 and 1:few ABM campaigns across email, phone, LinkedIn, events, direct mail, and trigger-based outreach Close the first enterprise and large-account deals yourself, including multi-stakeholder calls, negotiation, mutual action plans, and annual contracts Use AI and sales tools to improve research, enrichment, signal tracking, outreach drafting, personalization, and conversion by stage Work closely with leadership, marketing, product, and customer-facing teams to turn customer proof, case studies, and product value into strong outbound messaging Hire, train, and lead the outbound team once the playbook is working and ready to scale What Makes You a Strong Fit: 7+ years of B2B sales experience, including experience closing enterprise or large-account contracts Proven experience closing six-figure deals with multiple stakeholders, such as CROs, COOs, founders, owners, or senior operators Strong hands-on experience with ABM - account research, account tiering, multi-threading, buying-committee mapping, and personalized outbound Experience building outbound sales systems from zero, not only operating inside an existing process Strong understanding of sales methodology such as MEDDIC, mutual action plans, structured discovery, qualification, and deal strategy Confident with modern sales and AI tools such as Clay, Apollo, Cognism, UserGems, Smartlead, Outreach, Salesloft, Gong, AI voice agents, or similar tools Fluent English, used daily for executive-level calls, negotiation, written outreach, internal communication, and sales documentation Bonus if you have: Experience in Real Estate, PropTech, lead generation, marketplaces, or performance-based sales Experience selling to US real estate operators, wholesalers, investors, agents, or cash buyers Experience building outbound teams and hiring SDRs, AEs, or outbound operators Experience using conferences, sponsorships, gifting, or offline channels as part of an ABM motion Experience selling annual contracts, multi-seat packages, or high-LTV B2B products Why You'll Love It Here: You'll work at the core of a product-led, AI-powered startup where data drives every decision Your work will ship fast and impact thousands of users High autonomy, low bureaucracy: we trust you to own your domain Remote-first culture with flexible hours and async-friendly communication Salary (fixed base) ABOVE the market average A smart, passionate team that moves fast, supports each other, and builds cool stuff 15 paid vacation days plus 5 paid sick days annually Paid access to courses, books, and growth resources Real decision-making power and ownership of your results

Location: United States; Romania; Georgia; Bulgaria; Canada; Egypt; Azerbaijan; India; Germany; Kazakhstan; Ukraine; Spain; Netherlands; Hungary; United Kingdom; Portugal; Moldova; Poland Workplace: Remote About the company Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. Role overview We are looking for a Senior Financial Data Analyst / FP&A Business Partner who will help us understand where the business makes money, where profit is lost, and which decisions can improve margins, cash flow, and overall performance. You will work closely with founders, finance, product, operations, and business teams to turn financial and operational data into clear recommendations. This role exists to help leadership make faster, better decisions based on real business numbers. What You'll Be Doing: Build and improve executive dashboards that show revenue, profit, margins, COGS, OpEx, refunds, payouts, cash flow, and key business metrics Analyze profitability across products, customers, providers, geographies, channels, lead sources, and operational workflows Create P&L analysis, gross margin analysis, contribution margin analysis, unit economics models, forecasts, and scenario analysis Identify cost leaks, overspending, inefficient vendors, payment issues, margin risks, and other areas where the business can improve profit Partner with finance, accounting, product, operations, sales, and marketing teams to connect business activity with financial outcomes Reconcile business data with invoices, payouts, payment systems, taxes, accounting records, and financial reports Present clear recommendations to founders and senior leadership on pricing, cost optimization, product profitability, hiring, and growth decisions What Makes You a Strong Fit: 6-8+ years of experience in financial analytics, FP&A, data analytics, business analytics, or a similar role Strong experience with financial modeling, P&L analysis, unit economics, budgeting, forecasting, and variance analysis Expert-level SQL and strong hands-on experience with BigQuery Strong experience with Looker, Power BI, Tableau, or similar BI tools Advanced Excel or Google Sheets skills for financial modeling, reporting, and scenario analysis Good understanding of accounting basics, financial statements, revenue, COGS, OpEx, gross margin, contribution margin, and cash flow Clear communication in English, both spoken and written, with the ability to explain financial insights to founders, business teams, and non-finance stakeholders Bonus if you have: Experience with Python or another scripting language for data analysis and reporting automation Experience with payment systems, accounting systems, CRM, ERP, Stripe, QuickBooks, Xero, NetSuite, or similar tools Experience in marketplace, SaaS, fintech, real estate, lead generation, or performance marketing businesses Experience working directly with founders or senior leadership in a fast-moving business environment Why You'll Love It Here: You'll work at the core of a product-led, AI-powered startup where data drives every decision Your work will ship fast and impact thousands of users High autonomy, low bureaucracy: we trust you to own your domain Remote-first culture with flexible hours and async-friendly communication Salary (fixed base) ABOVE the market average A smart, passionate team that moves fast, supports each other, and builds cool stuff 15 paid vacation days plus 5 paid sick days annually Paid access to courses, books, and growth resources Real decision-making power and ownership of your results

Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are building a new systematic, mid-frequency trading business at DRW. The strategy combines diverse data, modern machine learning, and high-performance software systems to identify and trade opportunities at scale. This is an early-stage effort within an established trading firm: the team has the opportunity to design its technology and research platform from the ground up while benefiting from DRW's capital, data, compute infrastructure, market access, and institutional experience. We are a small, fast-moving team of quantitative researchers and developers. Engineers are not a support function—they are central to how we conduct research, put strategies into production, and build a lasting competitive advantage. About the Role: As a Quantitative Developer / Research Engineer, you will be an early member of the team with meaningful ownership of its systems, research tooling, and engineering practices. You will work closely with experienced researchers and trading-system engineers across the team and the firm, combining substantial autonomy with strong technical mentorship. You will work at the intersection of quantitative research and software engineering, turning research ideas into reliable systems that trade. The ideal candidate combines strong software engineering fundamentals with an interest in quantitative research, machine learning, and data-intensive systems. This role will require you being in the NY office 5 days per week. You will: Design and build the core research and trading platform, including data pipelines, backtesting and simulation frameworks, portfolio and execution tooling, and research APIs Work closely with quantitative researchers to implement studies, test hypotheses, and translate promising ideas into robust production systems Develop and productionize statistical and machine learning models, owning the workflow from feature generation and training through backtesting, deployment, and live monitoring Build reliable data infrastructure for large historical and real-time datasets, with an emphasis on point-in-time correctness, reproducibility, performance, and ease of use Improve the performance and scalability of computationally intensive research and production workloads Contribute to foundational architecture and engineering decisions, working with experienced trading-system engineers to establish the development practices, testing standards, and operational processes the team will use as it grows Take systems and strategies from prototype to production and remain accountable for their reliability once they are live Because the team is still early, the scope is broad and the feedback loop is short. You will have the opportunity to take on meaningful responsibility early, while learning from people with deep experience in quantitative research, trading-system architecture, and production trading. What You Bring: A bachelor's, master's, or PhD degree in computer science, computer engineering, or another technical field At least two years of experience developing production software, primarily in Python and/or C++, with the ability and willingness to work across languages when needed Strong computer science fundamentals and sound instincts in software design, debugging, testing, and performance analysis The ability to enter an unfamiliar system, develop a clear mental model of it, and identify practical ways to improve its reliability, simplicity, and performance Fluency in a UNIX/Linux environment and a working understanding of operating systems, concurrency, networking, and system performance A track record of scoping and delivering production systems in fast-moving or ambiguous environments High ownership, good judgment, and a bias toward action—you identify risks early, reduce unnecessary complexity, and take pride in building systems that others rely on Clear communication and a collaborative working style, particularly when working across research and engineering disciplines Experience in trading or finance is not required. We value strong engineering and problem-solving ability and will provide the domain-specific training needed to succeed. Nice to Have: Experience developing deep learning systems with PyTorch Experience with GPU computing, kernel development, distributed training, or performance optimization Hands-on experience building and operating machine learning or data pipelines in production Experience developing large-scale, concurrent, high-throughput, or performance-sensitive systems A strong foundation in mathematics, statistics, optimization, or machine learning Experience building tools and infrastructure for quantitative researchers, data scientists, or similarly technical users Why This Role: Build from an early stage — Help shape a new systematic trading business, with broad scope, short feedback loops, direct influence over how the team operates, and the opportunity to share in its success Autonomy with mentorship — Make meaningful technical decisions while learning from experienced researchers and trading-system engineers across the team and the firm Broad, end-to-end ownership — Take systems from research and development through deployment and live trading, working across software, data, machine learning, and financial markets AI-native engineering — Work in an environment where AI-assisted coding, testing and research are deeply embedded in the development workflow The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: Chicago, NYC DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Trading Operations Engineer you will provide support to a group of trading desks based in Chicago. This is an opportunity to solve challenging problems while working closely with experienced traders, researchers and software engineers to optimize operational workflow and use the right tools and technology for the job. Responsibilities: Provide operational support for several of the firm’s crypto trading desks Trade capture for all products related to the desks’ activity: futures/futures options Trade and position reconciliation with the firm’s clearing houses and brokers Daily P&L calculation and substantiation Working knowledge and experience in derivatives Gain mastery of the firm’s proprietary trade capture, inventory management, treasury management, and risk management systems necessary to support the desks’ activity Act as process owner for current functionality and provide critical support and advice regarding needed enhancements to technology, workflows, and processes: Gain a strong understanding of traders’ risk management tools and provide support for related traders’ needs Upgrade and support traders’ tools to effectively utilize technologies and tools that are firm standard Interface with technology to improve tools where they fall short of meeting the desks’ needs Adopt, integrate, and promote new technology as it becomes available Requirements: Strong interest or working knowledge and experience in crypto Previous experience with Version Control, Git, Python, Cron, Linux 2-3 years of experience in the front office, middle office, back office, or risk management roles working with exchange-traded and over-the-counter products and derivatives Experience working with derivatives is preferred Substantial prior interaction with the front office and senior management in an active trading environment Bachelor’s degree in Computer Science, Engineering, or related STEM field Demonstrated ability to work independently Demonstrated ability to analyze problems and synthesize and implement solutions The annual base salary range for this position is $100,000 to $150,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]

Location: Dubai, United Arab Emirates We are seeking a highly organized, proactive, and professional Executive Assistant / Office Manager to support our senior leadership team, including the CEO and CFO. This role requires an individual who can efficiently manage executive schedules, coordinate high-level meetings, oversee administrative operations, and ensure the smooth functioning of the management office. The ideal candidate will have at least 5 years of experience as an Executive Assistant or Office Manager , with previous experience in a real estate development company strongly preferred . The successful candidate must demonstrate exceptional organizational skills, discretion when handling confidential information, and the ability to work in a fast-paced, high-performance environment. Key Responsibilities Provide comprehensive executive support to the CEO and CFO. Manage complex calendars, appointments, and meeting schedules. Coordinate domestic and international travel arrangements, including visas, flights, accommodations, and itineraries. Prepare meeting agendas, presentations, reports, and executive correspondence. Record meeting minutes and follow up on action items to ensure timely completion. Act as the primary point of contact between executives and internal/external stakeholders. Manage confidential documents and sensitive business information with the highest level of discretion. Coordinate board meetings, investor meetings, and executive presentations. Oversee the day-to-day operations of the executive office, ensuring smooth administrative processes. Organize company events, executive meetings, and business functions. Liaise with various departments to ensure projects and executive requests are completed on time. Monitor office supplies, vendor relationships, and administrative budgets where applicable. Assist with special projects and strategic initiatives as assigned by management. Requirements Bachelor's degree in Business Administration or a related field is preferred. Minimum 5 years of experience as an Executive Assistant, Personal Assistant, or Office Manager. Previous experience within a real estate development, construction, or property development company is highly preferred. Experience supporting C-level executives (CEO, CFO, Chairman, or Managing Director). Excellent written and verbal communication skills in English. Strong organizational and multitasking abilities. High level of professionalism, confidentiality, and attention to detail. Advanced proficiency in Microsoft Office Suite (Excel, PowerPoint, Word, Outlook). Experience preparing reports, presentations, and executive documentation. Ability to prioritize multiple tasks and work under pressure. Strong problem-solving and interpersonal skills. UAE experience will be considered a strong advantage. Benefits Competitive salary package Employment visa Medical insurance Opportunity to work directly with senior leadership Professional and dynamic work environment Career growth within a leading real estate development company

Location: Montreal DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are looking for multiple passionate Software Developers to join our team. You will develop critical software that powers the collection, transformation, and delivery of market data used by our trading systems. As a member of our team, you will be surrounded by cutting-edge technology and senior technologists providing you with the best possible environment to succeed How you will make an impact: Building scalable and performant software using software engineering best practices. Facilitating discussions on code implementation, testing, software architecture best practices Collaborating with operations and trading teams to ensure production systems are in optimal condition. Researching the latest technologies to enhance our trading systems. Driving projects and leading new initiatives Actively engaging with others on the development team to resolve challenging design and coding issues Working with complex real-time market data while ensuring accuracy, completeness, and consistency. Partnering with traders to explain technical challenges, trade-offs, and potential solutions, enabling informed decision-making. What you bring to the team: A Bachelor’s or a Master’s degree in Computer Science, Software Engineering or equivalent 2 to 10 years of experience building software systems Solid understanding of software engineering principles and best practices Strong knowledge and experience in Python or C++. Experience in both is an asset. Passion for financial markets and an interest in global events and how they influence market behaviour. Exceptional attention to detail with a strong focus on data quality and correctness. Excellent verbal and written communication skills, with the ability to clearly explain technical concepts and trade-offs to both technical and non-technical stakeholders. Experience with any of these technologies is an asset: Redis, RabbitMQ, GraphQL, Kafka, MongoDB, ELK, Docker, TCP, HTTP, Regex. Experience with relational databases is an asset For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-AA1

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements. Your responsibilities will include: Site Selection & Market Analysis Lead the end-to-end site selection process for new data center facilities. Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors. Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing. Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies. Technical & Environmental Due Diligence Coordinate environmental, geotechnical, hydrological, and seismic assessments. Assess infrastructure availability (power, water, fiber) and future scalability. Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility. Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements. Colocation Strategy & Vendor Management Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure. Lead RFPs, negotiations, and contract execution with colocation and connectivity partners. Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations. Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics. Cross-Functional Collaboration Work with data center design and construction teams to validate site feasibility and development timelines. Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance. Support finance with CapEx/OpEx modeling, ROI calculations, and business case development. Coordinate with public authorities, utilities, and permitting agencies as needed. Risk Assessment & Compliance Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability. Ensure compliance with local regulations, zoning laws, and corporate standards. Maintain documentation for audits, reporting, and internal approvals. We expect you to have: Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field. 5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure. Strong understanding of data center power, cooling, and network requirements. Experience in evaluating colocation providers and negotiating leases/SLAs. Analytical skills in market research, cost modeling, and risk assessment. Ability to manage multiple simultaneous projects across regions. Excellent communication, negotiation, and stakeholder management skills. It will be an added bonus if you have: Experience with hyper-scale or large-scale data center development. Knowledge of utility procurement (power, water), renewable energy markets, and substation planning. Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning. Understanding of permitting processes and environmental regulations. #LI-PD1 #LI-PD1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United States - Remote; Chicago, IL; Texas - Remote; Boston, MA; Florida - Remote; Minneapolis, MN; Michigan - Remote; Canada - Remote Workplace: remote About the Role The Azul Sales Engineer is a hands-on, deeply technical pre-sales leader responsible for delivering the technical win across opportunities within their territory. Azul sells to the most demanding Java estates in the world — enterprises running mission-critical, high-throughput, latency-sensitive applications on the JVM — so this role demands genuine engineering depth, not just presentation polish. A Sales Engineer earns credibility with engineers, architects, and executives alike by getting hands on: running technical evaluations in the customer’s own environment, tuning the JVM, interpreting GC and performance data, and translating measurable technical outcomes into clear business value. Beyond individual deals, the Sales Engineer uses their experience to mentor and uplevel the broader SE team. What You'll Do (aka Responsibilities) Own the technical win. Drive pre-sales engagements end to end — discovery of the prospect’s business and technical challenges, mapping Azul portfolio capabilities to those challenges, and validating the solution through demonstration and hands-on proof. Lead hands-on pilots. Design, scope, and personally execute product pilots and proofs-of-concept inside the customer’s existing environment: installing and configuring the JVM, running representative workloads, and capturing empirical results the customer trusts. Prove performance. Plan and run performance-focused engagements: establish benchmarks and success criteria, measure latency, throughput, GC pause behavior and resource efficiency, analyze GC and JIT logs, tune JVM settings, and quantify the improvement Azul delivers against the incumbent. Win at enterprise scale. Navigate complex, multi-stakeholder enterprise engagements (large production estates, strict SLAs, security and compliance review, and long procurement cycles) coordinating technical validation across many teams and environments. Present at every altitude. Deliver presentations and demos across all technical levels, from CxOs to hands-on developers, to “make the complex simple” and communicate Azul’s value to each audience. Respond to technical requirements. Understand and respond to solicited and unsolicited proposals (RFI/RFP) by aligning Azul capabilities against detailed technical and business requirements. Orchestrate the extended team. Engage Product Management, Engineering, and the CTO office as needed to remove technical blockers and secure the win. Partner on territory strategy. Work alongside your Account Executive(s) on territory planning: pipeline generation, growing existing accounts, and enabling partners. Grow and retain customers. Nurture existing clients to promote customer success and to create new upsell and cross-sell opportunities. Evangelize. Present at conferences, workshops, and roadshows to raise awareness of the Azul portfolio and build funnel. Mentor the team. Provide expert assistance to other SEs on pilot planning and execution, run training sessions, and serve as a primary mentor to onboarding SEs. Be a trusted advisor. Advise your manager on product, territory, and team matters. Technical Competencies These are the core technical strengths that define a successful Sales Engineer at Azul: Java & the JVM. Deep, hands-on knowledge of Java internals and the JVM: class loading, JIT compilation, memory model, and garbage collection. Able to read and reason about GC logs and runtime behavior, not just describe them. Performance engineering. Practical experience benchmarking, profiling, and tuning JVM-based applications for latency, throughput, and scale; comfortable diagnosing GC pauses, warm-up, jitter, and resource-efficiency issues in production-like conditions. Hands-on aptitude. Confident on the command line and in customer environments: installing, configuring, and troubleshooting runtimes; able to build and run a POC independently. Enterprise application stacks. Solid understanding of Java-based applications and frameworks that run on or alongside Azul products (e.g., Cassandra, Kafka, Solr, Spring). Cloud & containers. Working knowledge of cloud platforms (e.g., AWS, Azure, GCP) and container/orchestration technologies (e.g., Docker, Kubernetes). Portfolio SME. Demonstrate SME-level depth and breadth across the entire Azul product suite, and continuously grow technical acumen through enablement, hands-on experimentation, and self-study. What You'll Bring Qualifications 5+ years in a Sales Engineering / pre-sales role supporting enterprise software, ideally in the Java, middleware, performance, or infrastructure space. 3+ years of hands-on Java development or testing experience with a demonstrable command of Java architecture. Proven track record of hands-on pilots and POCs and of performance-related engagements where you measured and demonstrated technical results in a customer environment. Experience selling into large enterprises — complex, multi-stakeholder, mission-critical production environments. Bachelor’s degree (or equivalent) in Software Engineering, Computer Science, or a related IT discipline; a master’s or higher in an IT or business discipline is a plus. Working knowledge of cloud and container technologies (e.g., AWS, Docker/Kubernetes). Solid knowledge of sales process and CRM (MEDDICC and Salesforce preferred). Willing and able to travel up to 30%. Fluent in your territory’s primary language, with strong professional English. Skills & Attributes Strong oral and written communication, effective one-on-one and in front of large groups. Proven critical-thinking and problem-solving skills; able to solve complex technical challenges with minimal supervision. Highly organized, detail-oriented, with excellent time management. Highly professional and ethical. Thrives in a fast-paced environment and can multitask across client challenges, meetings, and team needs, occasionally outside normal business hours. Collaborates across disciplines, with the EQ to understand multiple perspectives toward a common goal. A proven winning record. #LI-MD1 What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Azul participates in E-Verify. As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.   Employment at Azul is contingent upon the completion of reference and background checks. We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job $150,000-$175,000.  This job is also eligible for commission/variable pay.  Individual base salaries are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our benefit package includes medical and dental coverage, equity participation plan, 401(k) plan, and a wide range of paid time off options.

Location: Montreal Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Software Developer Intern , you will join one of our development teams supporting our network development initiatives or trading businesses. Depending on the team you join, you will build advanced trading, analysis and risk applications, or advanced monitoring and automation systems leveraging cutting-edge technology. DRW enables our Software Developer Interns to develop computationally intensive software under the guidance of senior technologists with the goal of deployment during your internship. While your days will have you immersed in complex projects directly driving DRW's progress, your time also will be packed with education, responsibility, problem-solving, and social events to experience what it is like to work at DRW. How will you make an impact? Design, develop test, and deploy proprietary software development solutions across the firm. Examples include creating: MLOps and High Availability inference systems Data pipeline engineering Agentic / RAG / MCP(tools) Development GPU optimization and management Full stack web applications and dashboards Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner Conduct research using a data driven approach to employ statistical analytics on large data sets Collaborate with other software developers, quantitative traders and researchers as well as business analysts in cross-functional team environments What do you bring to the team? Are pursuing a bachelor's, master's, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics or any related science discipline and have an expected graduation date between December 2027 and June 2028 Have exposure to multi-threaded applications, computational intelligence, algorithms, real-time programming or GUI programming Have strong understanding of object-oriented design, data structures, and algorithms Exhibit excellent software development skills in at least one of Python, JavaScript (Node, React, and/or Angular), C++, Ruby, C#, Go or Java, and a deep curiosity to learn and absorb new technologies quickly What to expect during the internship? Meaningful projects: You'll receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie. Housing: DRW provides fully furnished apartments located close to the office making your morning commute as easy as possible. Mentorship: You'll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-SB1

Location: Chicago, New York City Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Researcher , you will develop mathematical models using advanced statistical learning methods to build automated trading strategies across multiple asset classes. Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches. You will have access to clean data integrated with compute resources and the support of experienced researchers, traders and dedicated software developers. You will conduct quantitative analysis of market data to uncover relationships and identify historical trends. We do not require familiarity with or prior experience in financial markets for this role. We will give you the training you need to be successful. How you will make an impact Extract predictive signals from financial data through both traditional statistical analysis methods and cutting edge machine learning techniques Assist software developers to translate research strategies into production software Optimize the order execution and risk management of our trading system Create robust solutions to problems presented in the trading environment Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas You will be right at home if you have… A degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimization and control graduating between December 2026 and August 2027 (Bachelor’s, Master’s, PhD) A curiosity for model development and experience handling large data sets Expertise in programming using Python, R, MATLAB, or C++ for conducting research Can advocate for your beliefs in a concise and effective way with the team Significant hands-on experience applying machine learning algorithms to real world problems Strong problem-solving and statistics skills The proactive ability to take the lead on assignments and deliver practical research results in a timely manner DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The annual base salary range for this position is $250,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-SB1