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Location: Brisbane, Australia Who We Are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves – all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions.  This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. About the Role Are you mechanically minded, quality focused, and looking for a hands-on role within a growing industrial services business? We are seeking a Hose Management Technician to join our Brisbane team in a permanent full-time capacity. This role will be primarily supporting the Ampol Oil Refinery in Lytton, playing a key role in the planning, execution and safety of the Hose Integrity Management program on-site. Reporting to the Hose Management Team, you will play an integral role in ensuring the safe manufacture, inspection, testing, and delivery of hose assemblies while providing exceptional customer support and technical expertise. Key responsibilities include: Receiving, inspecting, and managing incoming and outgoing hose assemblies. Conducting QA/QC activities associated with hose manufacture, delivery, and dispatch. Manufacturing hose assemblies in accordance with company procedures and relevant industry standards. Assisting with hose pressure testing and certification activities. Coordinating hose deliveries and logistics to customer sites. Carrying out hose inspection, maintenance, and management activities at client locations. Building and maintaining strong relationships with customer representatives and hose focal points. Providing technical assistance regarding hose specifications, applications, and maintenance requirements. Conducting inspections of used hose assemblies and preparing detailed condition reports for customers and internal stakeholders. Maintaining a safe, organised, and efficient workshop environment. Requirements About You To be successful in this role, you will ideally possess: Minimum 2+ years experience in a mechanical, hydraulic, hose, industrial services, maintenance, or workshop environment. Strong mechanical aptitude and attention to detail. Experience with quality assurance and inspection processes. The ability to read and follow technical procedures and industry standards. Strong customer service and relationship-building skills. Confidence in using Microsoft Outlook and Excel. Good organisational and time management abilities. A current driver's licence. Full Australian Working Rights A proactive attitude and commitment to workplace safety. Desirable Experience in hose assembly, hydraulic systems, fluid transfer equipment, or asset integrity services. Exposure to industrial, mining, oil & gas, manufacturing, marine, or bulk fluids industries. Forklift licence. Pressure testing or inspection experience. Benefits What We Offer Permanent full-time employment. Brisbane workshop-based role with occasional site travel. Competitive salary package. Ongoing training and career development opportunities. Supportive team environment. Opportunity to work with industry-leading hose management and maintenance solutions. A strong safety-focused culture. Apply Now If you are looking for a rewarding hands-on role where you can develop your technical skills and work closely with valued customers, we'd love to hear from you. Submit your application today and become part of a team committed to quality, safety, and exceptional customer service.

Location: Thuwal, Saudi Arabia We are seeking a Fire Safety Engineer to join our team. The Fire Safety Engineer is responsible for delivering technical fire and life safety engineering activities under the direction of the Fire Safety Engineering Lead. The role supports delegated Authority Having Jurisdiction (AHJ) governance framework by conducting technical reviews, field assessments, inspections, compliance verification, fire risk assessments, and technical investigations within approved procedures and delegated authorities. The role prepares technical recommendations for review and approval through the Lead, Fire Safety Engineer and the Health and Safety Manager, as applicable. The Fire Safety Engineer also supports compliance with Saudi Civil Defense requirements, Saudi Building Code (SBC), National Fire Protection Association (NFPA), International Fire Code (IFC), and requirements by maintaining audit-ready evidence, verifying fire protection system performance, supporting Civil Defense-related documentation and inspections where applicable, and escalating significant fire and life safety risks. Key Responsibilities: Conduct fire and life safety engineering reviews, inspections, assessments, and field verifications. Review new construction, renovations, fire protection systems, and high-hazard facilities. Conduct fire risk assessments and recommend corrective and preventive actions. Ensure compliance with Saudi Building Code (SBC), Saudi Civil Defense, NFPA, IFC, and applicable fire safety requirements . Support inspection, testing, maintenance, commissioning, and verification of fire protection systems. Review systems including fire alarms, water-based and special suppression, smoke control, passive fire protection, fire doors, barriers, and means of egress. Investigate fire incidents, system failures, unwanted alarms, and other fire and life safety issues. Coordinate with projects, facilities, contractors, consultants, and other stakeholders. Requirements Bachelor's Degree in Fire Engineering, Fire Protection Engineering, Mechanical Engineering, Electrical Engineering, or related Engineering discipline . Minimum 6 years of professional experience in Fire Protection Engineering, Fire Systems, Fire Prevention, or Fire & Life Safety Compliance. Strong knowledge of SBC, NFPA, IFC, and Saudi Civil Defense requirements . Experience in fire protection system inspections, testing, commissioning, and compliance. Experience reviewing technical drawings, designs, specifications, and inspection documentation. International fire safety certifications such as CFPS, CFPE, NICET, IFE, or equivalent are preferred. Valid driver's license required.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD This role owns how Higgsfield measures its product - from the first sign-up to whether people come back. You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing. You make sure: - Every product decision has a number attached to it before it ships and after it ships - Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work” - The events the product emits can be trusted; you own the definition, not just the query - A PM gets an answer in hours, not next sprint You are the person who decides what “it worked” means. WHAT YOU WILL DO Product measurement - Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment. - Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack. - Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it. - Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it. Experimentation - Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics. - Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity. - Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud. Product & monetization analysis - In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups. - Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model. - Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.” - Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters. Making it usable - Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive. - Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts. - Automate recurring reporting so your hours go to new questions, not refreshes. - Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax. WHO WE'RE LOOKING FOR We're looking for an analyst with opinions. You should have: - Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help. - Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily. - Real experimentation experience: you have designed tests, run them, and killed features with the results. - Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win. - Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits. - The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact. - Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change. - Clear written and spoken English, B2+. Backgrounds that often do well: - Product analysts from consumer subscription or PLG products - Growth/BI analysts who moved into product and stayed - Early-startup analysts who built product measurement from zero - Data scientists who got tired of models and want decisions WHAT THIS ROLE IS NOT This role is not a fit if you: - Wait for a ticket to tell you what to analyze - Want to build models more than you want to change decisions - Need a data engineering team and clean tables to exist before you can start - Would report a lift you don't believe in because a stakeholder wants it - Need perfect data before you can say anything useful - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

X-FLOW is a mobile game development studio known for casual titles like Happy Color, featuring coloring and puzzle mechanics. Work format: Remote or on-site.

X-FLOW is a mobile game development studio known for casual titles like Happy Color, featuring coloring and puzzle mechanics. Work format: Remote or on-site.

Location: New York, United States Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job We are seeking a highly driven, organized, and entrepreneurial USAT Institutional Associate to accelerate market adoption, operational connectivity, and execution across core global corridors. As capacity expands across our pipeline, this role will serve as the execution engine for regional expansion initiatives, cross border pilots, and institutional onboarding. Reporting directly to the Head of USAT Institutional, you will take hands on ownership of high priority operational workflows, bridge regional expansion teams, and project manage strategic corridor partnerships from inception to production. The ideal candidate thrives in fast paced environments, possesses a strong baseline in fintech and digital asset execution, and is eager to be directly mentored while driving high impact output. Responsibilities Ramp Connectivity & Corridor Optimization Partner closely with regional expansion leadership to identify, establish, and optimize on/off-ramp infrastructures across high value corridors to drive seamless global connectivity. Analyze fiat and stablecoin liquidity flows to inform data driven operational decisions and eliminate friction in payment ecosystems. Local FX Pilots & Production Execution Lead and execute local stablecoin FX pilots. Establish clear milestone roadmaps to transition successful pilots into active production environments. Geographic Project Management & Sourcing Serve as primary project manager for active geographic expansion initiatives Conduct market research and track regulatory shifts to source, evaluate, and prioritize new corridor expansion opportunities. Institutional Onboarding & Operational Execution Manage day-to-day operational execution and compliance requirements as tier-1 US institutions adopt USAT. Maintain structured KPI tracking, status reporting, and internal alignment to guarantee execution velocity across active institutional workflows. Education & Experience: Bachelor’s degree in Business, Finance, Economics, or a related field. 3–6 years of experience in project management, business development, or operational execution within fintech, cross-border payments, banking, or digital assets. Execution & Project Management: Proven track record of managing complex cross-functional initiatives, coordinating technical/regulatory workstreams, and driving projects from concept to close. Domain Knowledge: Solid foundational understanding of cross-border settlements, payment rails, stablecoin mechanics, and regional fintech ecosystems. Communication & Stakeholder Management: Excellent written and verbal communication skills. Ability to interface seamlessly with internal partners, regional leads, and institutional external clients. Mindset: Proactive, organized, and comfortable navigating ambiguity independently in a high-velocity ecosystem. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Remote We're hiring a Junior Trader to join our trading team. You'll work directly with senior traders across strategies on centralized and decentralized venues, and take on your own responsibilities quickly. We don't require prior DeFi experience. We do require that you're quantitative, technical, and able to move fast without breaking things. WHAT YOU'LL DO - Execute and manage trades across centralized (CEX) and decentralized (DEX) venues — order books, AMM pools, and concentrated liquidity positions. - Monitor positions, inventory, and P&L in real time. Identify risks early and act on them. - Build and improve the tooling the desk runs on: position trackers, reporting dashboards, hedging workflows, reconciliation. - Analyze market and execution data to answer questions that matter — where slippage comes from, which pools are actually profitable, how our fill quality compares to the market. - Develop real depth in market structure and protocol mechanics (AMMs, PMMs, lending protocols) and bring it back to the desk. WHAT WE'RE LOOKING FOR - 0–3 years of experience — recent graduates with strong technical credentials, or candidates from quant research, engineering, data, or markets-adjacent roles looking to move onto a trading desk. - Strong quantitative foundation: probability, statistics, and the instinct to reach for data before opinions. - Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts. - Real interest in crypto and DeFi. Professional crypto experience isn't required; demonstrated engagement with the space is. - Sound judgment under pressure. Markets move at 3am and things break. We need someone who stays composed, thinks clearly, and escalates early. - Precise communicator - Self-directed and adaptable; comfortable operating with autonomy across time zones in a remote-first environment. NICE TO HAVE - Personal trading, market-making, or on-chain activity of any kind — a portfolio, a bot, an arbitrage script, a Dune dashboard. - Familiarity with Solana tooling (Jupiter, Orca, Drift) or EVM DeFi (Uniswap, Aave, Curve). - Exposure to algorithmic or systematic trading. - Machine learning or large-scale data analysis (regression, tree-based methods, classification). - Internships or prior work at a trading firm, market maker, exchange, or protocol. WHAT YOU'LL GET - Direct mentorship from traders running real capital — you'll learn by working alongside them, not from a curriculum. - Responsibility as fast as you can earn it, with clear feedback on where you stand. - Exposure across the full stack of a trading operation: execution, risk, tooling, counterparty relationships, and market structure. - A front-row seat as equities, commodities, and crypto converge on-chain.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM: GTM Engineering builds the AI agents, systems, and automation that power how our go-to-market teams work. We partner across Sales, Marketing, Customer Success, Support, and other GTM functions to identify high-leverage problems and build solutions that improve speed, quality, and scale. Our work spans four core areas: - Identify — find high-leverage GTM workflows where AI can meaningfully improve how we operate - Build — design, build, and deploy production AI agents and automated workflows across GTM - Enable — drive adoption through thoughtful rollouts, playbooks, best practices, and ongoing enablement - Evangelize — share what we build and learn externally through content, demos, talks, and open source examples ABOUT THE ROLE: You'll own the health, cost, performance, and business impact of the GTM Agent System, and build the feedback loops that keep it improving. Because we build the platform we run on, you'll also operate the agent on LangSmith the way we tell customers to, and turn that practice into the reference story enterprises keep asking us for. You'll work across Python 3.11, FastAPI, LangGraph, DeepAgents, LangSmith, Supabase Postgres, BigQuery, Anthropic and OpenAI models, and Slack and Next.js surfaces. WHAT YOU'LL DO: - Monitor production health across every graph, catching errors, slow runs, expensive runs, and silent failures before reps report them - Triage incoming issues from Slack, tickets, and rep reports, fixing small things directly and routing the rest to the right owner - Run the weekly eval suite, investigate failures, and turn real production bugs into permanent regression tests - Track cost and latency by model, graph, use case, and role, and recommend concrete changes to model choice, reasoning effort, and caching - Track usage and adoption per rep and per feature, and own the weekly health report the team runs on - Build the business metrics that show leadership what the agent is worth, from reply rates and meetings booked to hours reclaimed and ROI - Build our own monitoring and alerting on LangSmith, and write the “how we run our own agent” story for customers WHAT YOU'LL BRING: - Strong production Python and SQL, comfortable working in traces, logs, and warehouse tables - Real experience running LLM applications, including tracing, evals, and prompt and cache mechanics - SRE or production operations instincts: percentiles, SLOs, and separating noise from real pattern - Healthy skepticism about metrics; you check what a number actually counts before you publish it - Clear writing skills, and interest in publishing what you learn - High agency; you notice what's missing and take initiative to build it NICE TO HAVES: - LangGraph or LangSmith experience - Experience building an eval suite from scratch - BigQuery or dbt - Prior DevRel-adjacent writing - Empathy for sales and go-to-market users Salary: $165,000 - $220,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Al Khobar, Saudi Arabia; Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Dammam, Saudi Arabia We are seeking an experienced Civil/Structural Designer to join our engineering team. The successful candidate will be responsible for developing high-quality civil and structural design deliverables, including 2D drawings, 3D models, layouts, and construction drawings for industrial and Oil & Gas facilities. The role requires strong experience in structural steel and concrete modelling, foundations, pipe racks, equipment support structures, underground utilities, and multidisciplinary coordination throughout FEED and Detailed Engineering project phases. Key Responsibilities Develop and maintain 2D and 3D civil and structural design models and drawings. Prepare detailed drawings for structural steel, concrete structures, foundations, pipe racks, platforms, shelters, buildings, and equipment support structures. Prepare foundation layouts, pile layouts, structural framing plans, sections, elevations, and detailed construction drawings. Develop and update 3D models using SmartPlant 3D (SP3D), Smart 3D (S3D), AVEVA E3D, or similar modelling software. Prepare General Arrangement (GA) drawings, fabrication drawings, reinforcement drawings, and Material Take-Offs (MTO). Coordinate with Civil/Structural Engineers and other disciplines including Piping, Mechanical, Electrical, and Process teams. Perform model reviews and clash detection to ensure proper interdisciplinary coordination and constructability. Incorporate engineering calculations, vendor data, equipment loads, and project specifications into design deliverables. Ensure all drawings and models comply with project specifications, company procedures, client standards, and applicable international codes. Review and incorporate engineering comments and revisions during FEED, Detailed Engineering, and construction stages. Support site activities, technical queries, field modifications, and construction-related design requirements. Maintain quality and accuracy of design deliverables within agreed project schedules. Requirements Diploma or Bachelor's Degree in Civil Engineering, Structural Engineering, or a related discipline. Minimum 8–12 years of relevant experience as a Civil/Structural Designer. Strong experience in the Oil & Gas, Petrochemical, Industrial, or EPC industry. Experience in FEED and Detailed Engineering projects is highly preferred. Hands-on experience in structural steel and reinforced concrete modelling and detailing. Strong experience with pipe racks, equipment support structures, platforms, shelters, foundations, and underground utilities. Proficiency in SmartPlant 3D (SP3D), Smart 3D (S3D), or AVEVA E3D . Good working knowledge of MicroStation and AutoCAD . Experience in extracting drawings, MTOs, and other deliverables from 3D modelling systems. Ability to read and interpret engineering drawings, calculations, specifications, and vendor documents. Familiarity with international structural and civil design standards. Experience working in multidisciplinary engineering environments. Good communication and coordination skills.

Location: Almaty, Kazakhstan Workplace: OnSite Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. Why this role exists Higgsfield is one of the fastest-growing generative AI companies in the world. A large share of our revenue already comes from business users, but the product wasn't built for them, and there's no dedicated PM. We need someone to build the B2B and Enterprise product from the ground up, own the full path from a corporate email signup to a signed enterprise contract, and turn what's currently a reactive feature stream into a real business line. What you'll actually do • Own the B2B and Enterprise product surface end-to-end: workspaces, roles, SSO, SCIM, audit logs, admin controls, user and asset management, billing and seat management, brand controls, API access for enterprise. • Own the self-serve team-plan motion too: corporate email signup flow, in-product invites, seat expansion, the path from one paying user to a paying team. • Partner with sales on live deals: security questionnaires, compliance responses, contract-blocking features, pilot design. Sit on customer calls, not just receive summaries. • Untangle the workspace and collaboration model: separate identity from content ownership so users can be invited to collaborate without breaking billing or credit pools. • Build the enterprise data residency, retention, and privacy story alongside legal and security. • Design the metrics that matter: corporate-email signup share, team-plan conversion, seats per account, expansion revenue, enterprise pipeline conversion, deal cycle time, loss reasons by segment. • Work directly with Sales, Legal, Security, Applied ML, Backend, Growth, and Payments. Frequent contact with actual enterprise buyers. Must-haves 1. Founding or early-operator experience. You've spent years trying to build something of your own. You know what it's like to own an outcome when nobody hands you a spec. 2. Shipped a B2B or Enterprise product at scale, ideally from zero or near-zero. You've built the workspace, the admin, the SSO, the billing, and you've sat across from real buyers to know why each one mattered. 3. Comfortable owning both self-serve growth mechanics and top-down enterprise motion. You don't treat product-led and sales-led as different jobs. 4. Strong technical judgment. You can reason about auth models, permission systems, tenancy, and API surfaces without needing an engineer to translate. 5. You measure in revenue, seats, and cycle time, not features shipped. You can defend a scope cut to Sales and a pilot commitment to Engineering in the same afternoon. Who this is not for • You prefer working from complete specifications rather than defining problems yourself. • You want to inherit a mature B2B org. This is zero-to-one. • You are looking for a slower release cycle. We ship weekly, and enterprise deals can compress that to hours. Nice to have • Background at a fast-scaling B2B SaaS, collaboration tool, or developer platform in the US, EU, or Asia. • Direct experience with SSO, SCIM, SOC 2, GDPR, data residency, or enterprise procurement cycles. • Experience turning a strong B2C product into a real B2B business. • Comfort with generative AI, creative tools, or API products. What We Offer - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A seat where the business line you build shows up on the P&L within the quarter. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits. This is a fully on-site role based in our Almaty office. Our team works from the office five days per week for the full working day. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month-end. We are hiring a Procurement Operations Business Partner to own that path for our research organizations and the special programs that spawn out of it. This portfolio behaves differently from the rest of the company in that it purchases goods and services from highly-specialized vendors and new programs regularly appear with real purchasing needs before any process exists for them. You will be the person who makes all of that feel simple to the researchers and program leads who depend on it, and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every purchase in the portfolio is coded, dated, received, and accrued correctly, so research spend is right in the books every month. Expect a steady queue of requests, work orders, and change orders, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, document review, vendor coordination, and requester support. Responsibilities Own the purchasing path for R&D Manage a high volume of purchase requests, work orders, and change orders each month across research teams and programs, keeping speed and accuracy high at the same time. Serve as the primary procurement partner for Anthropic's research teams and special programs, guiding requesters from initial request to signed agreement and issued purchase order. Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs. Determine what each request requires before it can move, whether that is a statement of work, an order form, an amendment, a security or privacy review, or a third party risk assessment, and route it to the right reviewers the first time. Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued. Structure purchase orders so they match how the vendor bills (fixed fee, milestone, per-unit, or usage in arrears) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage change orders, renewals, and closures over the life of each agreement. Act as the dedicated operations partner for our research services vendor portfolio, where engagements are structured as master agreements with frequent work orders and scope changes, and where speed and documentation discipline both matter. Handle the mechanics that come with hardware, equipment, and lab purchasing, including multi line quotes, lead times, shipping and receiving, and asset handoffs. Financial completeness & accuracy Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense vs. prepaid, capitalized equipment vs. operating spend). Work the hard cases with Accounting: services that span periods, partially delivered milestones, per-unit work billed in arrears, credits and true-ups, and work orders amended mid-month. Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree. Serve as the first line reviewer for month end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time. Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs. Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind. Stand up new programs Be the first procurement call when a new research program or initiative spins up. Scope what they will buy and how often, agree a right sized path with Legal, Security, and Finance, and have it working before volume arrives. Run a regular pipeline check in with your highest velocity teams so upcoming purchases are visible early and nothing urgent arrives as a surprise. Translate procurement, legal, security, and finance requirements into plain language for researchers and engineers, and carry their operating reality back to those teams so controls fit the work. Be the front door Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context. Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available. Continuous improvement Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head. Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team. Minimum qualifications Proven track record of owning a high-volume purchasing portfolio end-to-end in procure-to-pay and intake platform. Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid vs. expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger. Experience supporting outsourced or managed service vendors at scale, where scope and volume move month to month and the contracts, purchase orders, and invoices have to keep up with each other. Working knowledge of how contract review, security and privacy review, and financial controls fit together in a purchase, and the judgment to know when to push a request through and when to slow it down. Preferred qualifications 5-7+ years of procurement operations, purchasing, or vendor operations, including time supporting a research, engineering, hardware, or outsourced services organization. Experience as the embedded procurement partner for a hyper scaling data operations, ML, RL, and lab environments Time at a hypergrowth technology company scaling procurement operations for outsourced or vendor delivered work. Background in accounting, accounts payable, or a month-end close process, including experience with three-way match Sourced human data, data labeling, annotation, or evaluation vendors (or comparable BPO and outsourced operations) with a point of view on where that market is heading Direct experience with Zip, Workday Financials, and Ironclad. Prior ownership of month end accrual review or open PO reconciliation for a large, variable spend portfolio Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Costa Mesa, United States What You'Ll Do Full Cycle PCB Design: Translate system-level propulsion requirements into robust designs. Perform schematic capture and high-density PCB layouts (with a strong preference for Altium), component selection, bring-up, test, debug, and integration with the propulsion system. Engine System Electronics: Design and optimize flight controller circuits, power distribution/supplies, motor controller circuits, and electromagnetic actuator circuits. Rigorous Analysis: Conduct circuit simulations, worst-case analysis (WCA), thermal analysis, DFMEA, and component derating to ensure reliability under extreme vibration and temperature environments. Comprehensive Testing: Lead board bring-ups, Design Verification Testing (DVT), qualification (Qual) testing, and functional testing. Collaborative Design: Provide electrical support and collaborate closely with mechanical, thermal, software, test, quality, manufacturing, and systems engineering teams for development. Peer Reviews: Conduct peer-level and cross-discipline design reviews. Root Cause Analysis: Perform root cause and failure analysis in support of engine test and field operations. Required Qualifications Education & Experience: Bachelor’s Degree in Electrical Engineering (BSEE) with 5+ years of experience designing, testing, and troubleshooting complex board designs. Technical Fundamentals: Solid engineering fundamentals across Analog, Digital, and Power Electronics. Software & Tools: Deep proficiency with electronic design tools, specifically Altium Designer (or equivalent for schematic and layout) and LTSpice (or equivalent for circuit simulation). Laboratory Equipment: Competence with laboratory test equipment such as oscilloscopes, logic analyzers, thermal chambers, spectrum analyzers, function generators, DMMs, electronic loads, power supplies, and test automation. Interfaces & Protocols: Familiarity with standard interfaces (CAN, I2C, SPI, Ethernet) and common MCU/CPU architectures. Security Clearance: Eligible to obtain and maintain an active U.S. Secret security clearance. Preferred Qualifications Education: Master’s Degree in Electrical Engineering (MSEE). Advanced Tools: Experience with MATLAB / Simulink for data analysis, control loop modeling, or system simulations.

Location: Paris; Amsterdam; Linz; Munich; London; Berlin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral is looking for AI Scientists with deep expertise in engineering sciences and machine learning to push the frontier of AI-accelerated simulation. Within AI4Engineering Science, you will research and train foundational physics models which are substantially more capable than what exists today and can be fine-tuned for downstream applications by both customers and internal teams. You will work across the full research stack: curating high-fidelity simulation datasets, designing and training novel model architectures, and rigorously evaluating them against real engineering validation standards. Working closely with the broader research organization, you'll ensure the foundation models you build are general enough to become the backbone of many downstream products, not just a single point solution. This role builds on a strong, world-class foundation, and the goal is to take it further. You'll work one vertical at a time toward foundation models that genuinely transfer and fine-tune across engineering tasks, with high-quality simulation data pipelines, physics-based evaluation, and uncertainty / out-of-distribution estimation as first-class concerns. There's no inherited playbook for most of what's left to do: you'll help define the architectures, training strategies, and validation standards the team builds on, not just extend an existing one. WHAT YOU WILL DO - Research and train novel foundation models for physics simulation, pushing past today's state of the art in accuracy, generalization, and scale - Design and run large-scale simulation campaigns using domain-specific solvers to build the high-fidelity datasets foundational physics models need - Investigate architectures and training strategies (e.g. multi-fidelity training, pretraining objectives, scaling behavior) that let a single foundation model transfer and fine-tune well across diverse engineering tasks - Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes arising from data gaps or architecture limitations - Stay on top of the latest developments in the scientific community and contribute to Mistral's standing at the frontier of AI-for-engineering research WHAT WE'RE LOOKING FOR - PhD or Master's in CS/AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or a related field - Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology is core to this role - You have developed ML methods for simulation or surrogate modelling - You write clean, readable Python code and are comfortable in Linux/HPC environments - Fluent English with excellent communication skills, able to explain technical simulation and ML concepts to both engineering and non-technical audiences - Self-directed, you don't need detailed roadmaps to make progress - Low-ego, collaborative, and eager to learn at the intersection of simulation and ML - Demonstrated success through industrial projects, academic work, or personal projects IT WOULD BE GREAT IF YOU - Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, LS-DYNA, ANSYS, COMSOL, Abaqus, Fluent, STAR-CCM+, PowerFlow, NekRS, Tau/CODA, JAX-Fluids, or equivalent; Cadence/Synopsys/Siemens EDA or equivalent) - Have experience automating large-scale simulation campaigns on HPC clusters - Have contributed to a large open-source or industry codebase - Have publications in engineering or ML venues (AIAA, ASME, JFM, NeurIPS, ICLR, etc.) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote | Finland Workplace: OnSite ROLE HIGHLIGHTS:   - Satellite Operations Specialist - Location: Finland - Department: Satellite Operations & Maintenance / Engineering - Reports to: Satellite Operations Team Lead - Employment type: Fixed term - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required)   WHY THIS ROLE MATTERS:   As a Satellite Operations Specialist, you will be an integral part of ensuring that ICEYE is able to deliver the product and data to customers. You will work closely with other operators on the operations console throughout your shift hours, ensuring smooth operation of our constellation of satellites and providing crucial support for any unexpected contingencies that arise on the fleet or ground systems. You will help to improve Satellite Operations by developing new procedures and tools. You'll handle fleet maintenance, engage in mock operations pre-launch, and be a critical part of the Launch and Early Orbit Operations. If you're passionate about space technology and eager to make an impact in satellite operations, we want to hear from you.   WHO WE ARE   ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.   As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.   ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES   - Maintain continuous, high-quality monitoring and control of the satellite constellation during all shifts - Ensure safe operations, early detection of anomalies, and proper escalation or resolution - Enhance Satellite Operations by developing and refining procedures, tools, and workflow - Support fleet maintenance activities and satellite in orbit testing - Contribute to mission readiness through simulations and Launch and Early Orbit Operations - Deliver clear shift handovers, incident reporting, and documentation - Contribute to seamless 24/7 operations and strengthen team-wide situational awareness and best practices.   WHAT WE’RE LOOKING FOR   MUST HAVES: - Relevant university degree: Aeronautical Engineering, Space studies, Applied Physics or similar, or relative experience in a similar role. - Have attention to detail with an excellent ability to focus - Have strong problem-solving skills and the ability to react fast - Strong English language skills (both written and spoken) - Flexibility in scheduled working hours (ability to work morning, evening, and night shifts, 365/24/7 basis) - Interest in Space Industry/Satellite Operations   NICE TO HAVES: - Space background - Knowledge about satellite systems - Knowledge about orbital mechanics - Familiarity with Linux system - Familiarity with Python - Familiarity with Atlassian Cloud (Jira, Confluence)   APPLICATION PROCESS   - Talent Attraction Partner interview (30 minutes, online) - Technical / Team Lead interview (30 minutes, online) - Team Director interview (30 minutes, online)   WORKING AT ICEYE   At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority—with continuous professional development, training opportunities, and a culture where collaboration is how we win.   HOW WE WORK (OUR VALUES)   - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.   BENEFITS   Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION   We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? At Fin, we believe every business needs an AI Agent for their customers and an AI Agent for their team. For customer experience teams, AI Agents are moving far beyond customer communication, to doing the vast majority of complex customer operations work and moving beyond taking direction from the human team, to giving direction, coordinating and undertaking work under human supervision. We built and launched Operator this year - an internal Agent for customer operations. Operator deeply understands everything happening in a business's customer experience, finds the insights and areas for improvement, delivers recommendations, and makes the changes itself with permission. It’s a new category of Agent and is a hit with our customers. This highly strategic role owns the end to end PMM work for Operator, working across product, marketing, GTM and leadership. You'll build the narrative, the positioning, and the go-to-market that makes Operator the next wildly successful product from Fin. What will I be doing? Build the external narrative for Operator and bring it to market in a way that creates and shapes the category for the industry Shape and refine the ICP and audience for the Operator- who we're talking to, what their pains are, and what makes them choose us Own core messaging and drive cross-functional alignment on what we're saying, why, and how it shows up everywhere - from the website to the sales deck to the customer email Be deeply customer-obsessed - spend time with customers, study how they evaluate and adopt, and turn signal into clear insight that shapes what we say Lead launches and go-to-market moments, working cross-functionally to deliver crisp messaging that fits sales, campaigns, and content needs, delivering mindshare for Fin and pipeline for Build crisp, high-impact narratives and enablement that sales actually uses - including the discovery questions, objection handling, and competitive positioning and work closely with GTM teams to ensure messaging lands with the customers who need to hear it most Create high-quality core PMM assets yourself: web pages, first call decks, narratives, scripts, demos, and launch materials - and maintain the core 'brain' of PMM context that feeds our AI-first approach What we're looking for This role is for someone who is a hybrid: part strategist, part storyteller, part technologist. You move between customer insight, product detail, competitive analysis, and creative expression without friction. Above all, you can take something the market has no name for and make it obvious. You've done this before 5+ years in product marketing, ideally in B2B, with a track record of shaping how complex products are understood in market You've marketed something genuinely new - a product or capability with no clear comparison set - and built the narrative that gave buyers a way to think about it You've owned a product area end-to-end - from ICP and positioning through to launches and field enablement You're comfortable with technical depth: automation, workflows, analytics, agent behaviour, and the mechanics of how a product actually does the work Experience with usage-based or consumption pricing, or with selling operational change rather than a feature set, is a strong plus You've worked in fast-moving environments where the product ships faster than the messaging can keep up - and found a way to move at that pace without losing quality You think and write with precision Excellent written communication - you write crisp briefs, sharp narratives, and synthesis memos that drive alignment Strong editorial judgment - you know the difference between a sharp positioning statement and marketing language that means nothing You push back on vague claims and force specificity - in your own work and in others' You're product-obsessed and technically engaged You read the docs, use the product, and dig into the tech before you craft a single message You're genuinely curious about AI - not just as a talking point, but as something you think about, experiment with, and engage with constantly You use AI tools fluently in your own work and are always looking for new ways to move faster and think sharper You operate at the intersection of strategy and execution You don't hand off strategy and wait - you take it all the way to the asset, the launch, the field Strong judgment and the ability to work independently on large, high-stakes initiatives A systems thinker who builds messaging architectures and frameworks others can use, not just one-off assets You work well across functions, build trust quickly, and make the people around you more effective Attributes we're looking for Ambitious and competitive - you set a high bar, think big, and want to win. You'll go the extra mile and you're motivated by building something that leads the market. Confident and decisive - you back yourself, optimise for progress over consensus, and value momentum. You ask for forgiveness, not permission. Curious and intellectually engaged - you're always learning, experimenting, and asking why. You keep up with AI's pace and use it to improve how you work. Tasteful and creative - you understand what connects emotionally with people and draw on design, culture, and craft to create ideas that resonate. Impatient and change-oriented - you hate slow and work to fix the root cause. You thrive in ambiguity and love building something new. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: San Jose, California or Remote Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Remote Annual salary: USD 180,000 — 220,000 per year Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location. Type: Full-time Reports to: General Counsel About the Role We're looking for a seasoned product counsel to be Nex's primary legal partner to Product, Engineering, Trust & Safety, Design, and Marketing - advising across the full product lifecycle, with particular depth in privacy and children's privacy compliance. You will own Nex's privacy program day-to-day, including COPPA compliance, camera- and AI-driven data collection practices, and consent and disclosure flows, while also advising on consumer protection, IP, emerging AI regulation, and the broader mix of legal issues that come up as we ship new hardware features, games, and Play Pass content. This is a senior, largely independent role for someone who wants to build a product legal function from scratch rather than plug into an existing one - you'll be writing our first privacy program, our first product-review processes, and our first AI governance approach, with real opportunity to grow this into a larger function as Nex scales. What You'll Do Privacy & Child Safety Program Ownership Own Nex's privacy program end-to-end: COPPA compliance, data mapping for our camera- and AI-driven product, vendor data processing agreements, and consent/disclosure flows for a product used heavily by children. Draft, review, and maintain Nex's privacy policy, terms of service, and parental consent flows, including for new markets as we expand internationally (e.g., GDPR and other regional children's/data protection frameworks). Advise Product, Engineering, Trust & Safety and Design on privacy-by-design principles and age-appropriate product experiences from ideation through launch. Monitor the evolving children's privacy and online safety regulatory landscape (COPPA, state age-appropriate design laws, GDPR-K, and similar frameworks) and translate developments into actionable product guidance. Serve as the point of contact for privacy incidents, regulatory inquiries, and data subject/parental requests, escalating appropriately to the GC and outside counsel. Serve as the escalation point for Legal Operations and Commercial Counsel on any privacy or COPPA questions that surface in vendor, commercial, or operational contexts - they are trained to flag these to you rather than advise on them directly. Product Counseling Across the Lifecycle Be a trusted, embedded advisor to Product, Engineering, Trust & Safety, Design, and Marketing - reviewing new features, hardware capabilities, and AI/motion-detection functionality for legal risk from concept through launch. Advise on consumer protection issues relevant to Play Pass and other subscription or in-product offerings, including disclosures, auto-renewal compliance, and promotions or sweepstakes tied to product launches or marketing campaigns. Review product user experiences, in-app disclosures, and marketing/advertising materials to mitigate legal risk while supporting the team's goals. Provide practical guidance on emerging AI regulation as it applies to Nex's computer vision and motion-detection technology, including responsible AI development and deployment considerations. Flag physical product safety and liability considerations that arise from hardware feature design (e.g., camera/sensor placement, physical play mechanics, choking/impact hazards for young users) to the GC and outside counsel during feature review. Support IP strategy for product innovation: facilitate invention harvesting and patent-strategy conversations with Engineering, and advise on trademark use in-product, in partnership with Legal Operations on portfolio docketing. Building the Function Build the playbooks, guides, and internal training that let Product, Engineering, and Marketing self-serve on lower-risk questions and escalate the right issues early. Design a scalable legal review process for product launches that keeps pace with Nex's release cadence without becoming a bottleneck. Partner with Legal Operations on intake triage and template design for product-related legal requests, and with Commercial Counsel to keep licensing/partnership agreements aligned with product privacy and IP commitments. Manage outside counsel on specialized privacy, AI regulatory, product-safety, or IP matters as needed, with Legal Operations administering the underlying vendor relationship and spend. As Nex scales, help define whether and how this function grows - this role has a credible path to leading a larger product legal team. What You'll Bring J.D. and active bar membership in good standing (California or another U.S. state, as applicable). 4-7+ years of relevant legal experience, combining law firm and in-house product counseling at a technology or consumer products company. Deep, hands-on experience with children's privacy compliance (COPPA, age-appropriate design frameworks, GDPR-K or similar) - this is the technical core of the role. Experience advising product, engineering, and design teams throughout the full product development lifecycle, not just at launch review. Working knowledge of consumer protection law as applied to subscriptions, promotions, and marketing claims. Comfort advising on emerging AI/computer vision regulatory questions, even without a technical background, and genuine interest in the underlying technology. A builder's mindset: comfortable creating playbooks, review processes, and governance frameworks from scratch rather than operating an existing one. Excellent judgment translating complex legal and regulatory requirements into clear, actionable guidance for non-legal audiences under real deadlines. Strong cross-functional relationship-building skills and a low-ego, collaborative approach. Nice to Have Privacy certification (CIPP/US, CIPP/E, or similar), or willingness to obtain one. Experience in consumer hardware, consumer electronics, gaming, or toy/kids' products. Experience supporting sweepstakes, contests, or promotions tied to consumer products or subscriptions. Exposure to patent or trademark strategy in a product/engineering context. Experience advising on international product launches and multi-jurisdictional compliance. What Success Looks Like Product, Engineering, Trust & Safety, Design and Marketing have a legal partner they trust to move fast on new features and launches with confidence. Nex has a documented, defensible privacy and children's data protection program that scales as the company grows and enters new markets. Privacy, consumer protection, and AI regulatory issues are surfaced and resolved at the design stage, not after the fact. Playbooks, templates, and review processes let the product organization self-serve on routine questions, freeing this role to focus on the highest-impact issues. Nex is positioned to expand this function as the business grows, with this person as the natural lead. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey Workplace: remote Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. We are looking for an Alliances Team Lead to own and grow Provectus's most strategic partnerships: Anthropic and AWS. This is a build-and-lead role — you will create the programs for our alliances function from the ground up. On the Anthropic side, you will run partner activation programs end to end: identify target accounts, align scope with Anthropic partner teams, coordinate delivery, and ensure funding milestones and closeout requirements are met. You will grow our standing in the Claude Partner Network and be the person inside Anthropic who advocates for Provectus. On the AWS side, you will manage the alliance, maintaining AI and generative AI competency requirements, keeping Premier Tier standing current, and building the co-sell motion with AWS field teams. There is also an opportunity to develop early-stage partnerships with GCP and others as the ecosystem evolves. You will lead a team and work directly with Provectus engineering, SO, and marketing leadership to turn partner programs into measurable pipeline. Responsibilities: Anthropic partnership Own the Anthropic partnership end-to-end — build and scale partner activation programs, manage funded enablement engagements from scoping through completion and reimbursement. Create repeatable playbooks for partner-funded customer activations: identify target accounts, align scope with Anthropic partner teams, coordinate delivery, and ensure funding milestones are met. Grow Provectus's standing in the Claude Partner Network; track program changes, tier requirements, and new co-marketing opportunities. Develop named executive relationships at Anthropic — field leadership, partner success, and product teams — who actively advocate for Provectus in joint accounts. AWS alliance Manage the AWS alliance day-to-day — keep Provectus current on Generative AI competency requirements, renewals, and program changes; maintain Premier Tier standing. Build and expand co-sell motion with AWS field teams — drive opportunity registration, joint account planning, and pipeline reviews with AWS partner sellers. Manage AWS funding programs; ensure Provectus maximises available program benefits. Team and cross-functional leadership Lead and develop a team of partner managers; set priorities, coach on partner engagement, and build the operating cadence for the alliances function. Work with sales, marketing, and delivery to turn partner programs into pipeline — co-marketing campaigns, joint solution offerings, and partner-sourced revenue. Represent Provectus at executive briefings and ecosystem events; bring relevant partner intelligence back to leadership. Ecosystem expansion Identify and develop early-stage partnerships with GCP and other emerging AI ecosystem players as the market evolves. Track the competitive alliance landscape — which SI competitors hold which partner tiers, where there are white spaces Provectus can occupy. What You Need to Succeed: 5–8+ years in technology alliances, partnerships, or channel roles, with meaningful time spent managing a hyperscaler relationship (Anthropic, AWS strongly preferred). Direct experience with partner programs: competencies, funding programs (MDF, MAP, or similar), co-sell mechanisms, and partner portals — hands-on, not just supervisory. Track record of building alliance programs from scratch — not just inheriting and running an existing book. Experience leading and developing a team; comfortable setting direction and coaching without a large management structure behind you. Comfortable operating at executive level with partners and customers, and hands-on enough to manage program mechanics personally when needed. Strong written and verbal communication — able to translate partner programs into clear internal playbooks and joint value propositions. Familiarity with the AI/ML ecosystem — enough to have credible conversations about implementation approaches and enterprise AI adoption challenges. Vertical depth in Financial Services or Life Sciences — Anthropic's and Provectus's primary enterprise target markets. Experience managing GCP, OpenAI, or other emerging AI ecosystem partnerships is preferred. Willingness to travel (up to 40%) for customer meetings, executive briefings, onsite workshops, conferences, and other business development activities. What success looks like: Anthropic activation programs running as a repeatable, funded motion with a growing pipeline of customer engagements quarter over quarter. AWS AI competency requirements current, with Premier Tier standing maintained and co-sell pipeline growing quarter over quarter. Named executive relationships at both partners who actively advocate for Provectus in joint accounts. An alliances team with clear ownership, operating cadence, and measurable partner-sourced revenue contribution. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: Genuine autonomy and the trust to operate in your lane without micromanagement. World-class AI/ML delivery capability behind you — a team that can actually execute on what you sell or source. You will shape how a fast-growing AI consultancy goes to market at a defining moment for enterprise AI adoption. High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. OTE range $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan.