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Location: New York, remote Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We’re seeking an experienced Algo Trading / Head of Execution to join our team. You have a proven track record of building and benchmarking execution algorithms. Ideally, you’ve been actively engaged with the crypto markets or have a strong curiosity about them. In this role, you will take the lead in developing greenfield algorithmic trading systems, shaping the core of our next-generation trading infrastructure. You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you. What You’ll Do: Design and lead the development of a low-latency, high-throughput Algo Trading / Smart Order Router system Implement intelligent routing algorithms based on execution quality, liquidity, latency, and cost Collaborate with traders, and product managers to refine routing logic and build new algorithmic capabilities Integrate the SOR with the trading, booking and reporting stack Monitor and optimize system performance under real-world trading conditions Mentor junior developers, enforce code quality standards, and contribute to architectural decisions Provide support for production trading issues and continuously improve system resilience and failover mechanisms What We’re Looking For: 10+ years of experience developing routing strategies for specific markets (e.g., U.S. equities, EU markets, crypto exchanges) Knowledge of tick data analytics and real-time market data processing Familiarity with cloud-based market access or hybrid deployments Experience working in high-frequency or algorithmic trading environments Experience building low-latency systems and working with multicast/unicast market data feeds A solid understanding of the application stack and infrastructure associated with electronic and algorithmic trading Strong technical background, with the ability to understand system architecture and technical workflows Proficiency in FIX protocol and trading system architecture (OMS/EMS, market gateways) Familiarity with concurrency, networking, and memory management Experience with Linux systems and performance profiling tools A proactive, problem-solving mindset and the ability to thrive in a fast-paced, collaborative environment Bonus Points: Deep understanding of electronic trading, order types, and market microstructure (equities, options, FX, Crypto etc.) Experience in the DeFi, or crypto space Exposure to regulatory or compliance-driven environments Familiarity with cloud-based infrastructure (e.g., AWS, GCP) or DevOps processes What We Offer: Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $220,000 — $250,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE We are looking for a Research Engineer to help develop our Geospatial Visual Localization technologies, which allows people and robots to accurately localize themselves anywhere on the planet. This is an end-to-end applied research role. You will develop new approaches to open problems alongside our researchers in 3D vision and machine learning, and publish your work at leading conferences. You will help build and train large models on large-scale multi-modal datasets, including our proprietary collection of 30 billion posed images and ship them into production, to be used by people and robots from all over the world. Our team works with heterogeneous captures from phones and other handheld devices, 360 cameras, vehicles, and drones, as well as aerial and satellite imagery, LiDAR, and external geographic data. Your focus will be to improve accuracy and robustness across urban and rural locations, cameras, seasons, weather, and capture quality. The system must remain reliable with noisy GPS, in GPS-denied environments, and with outdated reference maps. Each pose estimate comes with an uncertainty that our customers rely on, and keeping it well calibrated across these conditions is part of the work. WHAT YOU'LL DO - Design, implement, and evaluate novel visual localization algorithms, combining 3D vision and deep learning. - Train large models on multi-modal data at scale, and build the benchmarks that measure their accuracy and robustness. - Develop robust solutions for difficult real-world conditions: noisy or denied GPS, changing appearance, varying capture quality, large geographic extents, and imperfect reference maps. - Work side-by-side with leading researchers in visual localization, 3D computer vision, and mapping, as well as engineering and product teams, to identify the highest-impact problems and turn research into end-to-end solutions that operate at production scale. - Communicate results clearly through technical writing, design reviews, internal presentations, and publications. WHAT YOU'LL BRING - Strong grounding in 3D computer vision, deep learning, robotics, photogrammetry, or a closely related field. - Demonstrated experience with multi-view geometry and related problems, such as camera pose estimation, monocular depth estimation, SfM, SLAM, georeferencing, point-cloud registration, or sensor fusion. - Knowledge of transformer models for 3D vision, such as vision foundation models, feed-forward 3D reconstruction, or multi-view and multi-modal attention. - Knowledge of geospatial data and coordinate reference systems. - Ability to formulate ambiguous real-world problems, choose appropriate mathematical or learning-based tools, and evaluate solutions rigorously. - Strong Python skills and experience training deep learning models at scale, with libraries such as PyTorch, NumPy, and SciPy. - Strong software engineering skills, with the ability to turn research prototypes into reliable, scalable, and maintainable systems. - Experience taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data. - Clear written and verbal communication and the ability to collaborate across research and engineering disciplines. NICE TO HAVE - A PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field, or equivalent research or industry experience. A PhD is not required. - A strong publication record or substantial active involvement in the research community, especially at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia, 3DV, ICRA, RSS, or related conferences and journals. - Experience with aerial or satellite imagery, GNSS/GPS, IMUs, LiDAR data, geodesy, mapping systems, or large-scale spatial data. - Evidence of technical leadership, mentorship, or successful cross-functional delivery. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: New York Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We are seeking an experienced Head of Market Data Development and Engineering to lead the development, delivery, acquisition, governance, and optimization of market data for both digital and traditional assets across the firm. This role sits at the intersection of trading and technology ensuring high-quality, cost-effective, performant, and compliant data services that power trading, research, and risk systems. You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you. What You’ll Do: Market Data Strategy & Architecture Define and execute a unified market data strategy across centralized crypto exchanges (CEX), decentralized venues (DEX), and traditional markets Design scalable, low-latency data architecture supporting tick-level, order book, and on-chain data Evaluate build vs. buy decisions for internal data platforms vs. external providers Development Manager and hands on Development Lead a small team of developers and be hands on yourself in Java Design and build a Java based Market Data API to front all data sources including custom feedhandlers, vendor platforms, Kdb+, and DataBricks Manage the Market data messaging bus used by all internal applications in the firm Crypto Market Data & Vendor Management Build relationships with crypto exchanges (e.g., Binance, Coinbase, Deribit, OKX), data aggregators, and node providers Assist our vendor management team with commercial negotiations, licensing, and exchange agreements across both crypto and traditional markets Data Quality, Normalization & Coverage Ensure high-quality, normalized datasets across fragmented crypto venues (symbol mapping, schema standardization, latency benchmarking) Oversee ingestion of real-time order book data, trades, reference data, funding rates, and on-chain metrics Establish monitoring and alerting frameworks for data integrity and completeness Cost Management & Optimization Manage and optimize the global market data budget across crypto and traditional vendors Identify cost-saving opportunities through vendor consolidation, direct exchange connectivity, and internal data solutions Implement usage tracking and chargeback models where appropriate Infrastructure Partnership Partner with infrastructure teams to build the pipes necessary to bring in market data Support hybrid environments (on-prem + cloud) and ensure resilience, redundancy, and scalability Enable data access for research, backtesting, and production trading systems Regulatory & Compliance Oversight Ensure compliance with exchange licensing, redistribution rules, and evolving crypto regulatory frameworks Implement entitlement controls, audit trails, and governance policies across all data usage Stakeholder Collaboration Work closely with trading, quant research, risk, and portfolio management teams to deliver data solutions Support onboarding of new exchanges, instruments (perpetuals, options), and strategies Act as the firm’s subject matter expert on both crypto and cross-asset market data Leadership & Team Development Build and lead a high-performing development team Establish best practices for market data onboarding, validation, and lifecycle management Foster a culture of innovation, automation, and operational excellence Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: 10+ years of experience in custom development of real time market data platforms within a trading firm, hedge fund, or financial institution Knowledge of key market data vendors, exchanges, and licensing models Strong understanding of trading workflows, asset classes (equities, futures, options, FX, fixed income), and data types (real-time, reference, historical) Experience with low-latency data systems, market data feeds, APIs, and streaming technologies Strong analytical and problem-solving skills with attention to detail Excellent communication skills, with the ability to engage both technical and business stakeholders Bonus Points: Familiarity with on-chain data, blockchain nodes, and crypto data providers What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $220,000 — $250,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Remote Workplace: Remote More than 30,000 subscription apps run on Adapty: $5B in revenue tracked, 4B users served, 80B API calls a month. That's one of the richest datasets in the app economy. Our mission is simple: make apps rich. We are a team of 210+ passionate, product-driven people who love solving big challenges. Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile's fastest-growing SaaS companies and aiming for number one worldwide. WHY THIS ROLE MATTERS Adapty's Flow & Paywall Builder lets app teams generate onboarding flows and paywalls with AI, test them, and ship without an App Store release. It has its own go-to-market team, budget, and lead target, and content is how app founders and growth leads first hear about it: research built on Adapty data, lead magnets, webinars, case studies. You'll own that content. The first three months are hands-on: you write and ship every piece yourself, learn the product and the audience, and find out what brings leads. From month four, you run the content plan for the Builder and decide what to scale and what to cut. WHAT YOU'LL DO - Ship a data-led research piece every two weeks and turn it into a lead magnet: a gated report, an interactive tool, a Claude skill. You pull the data from our internal analytics and find the story - Repurpose every piece for LinkedIn through employee advocacy: posts for the product owner's personal account and the team's - Turn every webinar into a campaign, not a one-off: you set the angle, write the Luma page and promo, and afterwards cut it into a recap, LinkedIn clips and a follow-up that keep it working as a lead magnet - Interview customers and write case studies with real numbers - Track which content brings leads from target accounts and report it weekly - From month four, own the Builder content plan ABOUT YOU - 3+ years in B2B SaaS content, ideally for a technical or data-heavy product - You've published research or benchmark reports you drove yourself, and you know what they brought: downloads, leads, demos - You get numbers on your own: dashboards, SQL or AI tools, no waiting on an analyst - You've packaged a webinar or event from promo to follow-up, not only written the recap - You've written case studies from your own customer interviews - You use AI in your workflow, and your copy still doesn't read like AI - Strong written English for a technical audience NICE TO HAVE - Mobile apps, subscriptions, ad tech, MMP or dev tools background - You know paywalls, onboarding, and A/B testing from the inside - Worked in a pipeline-driven or ABM marketing team - SEO basics: keyword research, Google Search Console - Your own audience on LinkedIn, X, or Substack WHAT'S IN IT FOR YOU - Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies. - Exceptional compensation directly tied to your results. - Direct communication and ownership. No bureaucracy, no politics, just impact. - Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices. - Professional support. Language learning, sports, health insurance, laptop coverage, and more.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The opportunity Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions. You will lead models that estimate how campaign outcomes could change with different budgets, bids, audiences, creative performance, or objectives. The work connects supply and demand forecasting, audience availability, response prediction, and marketplace simulation to help advertisers compare alternatives and recognize valuable opportunities they may be missing. This is a hands-on technical leadership role with ownership of modeling direction, evaluation standards, and reusable production capabilities across advertiser planning and recommendations. What you’ll do Lead forecasting and scenario modeling. Translate advertiser questions into models of delivery, reach, performance, and investment tradeoffs. Set technical direction and guide execution across the team. Connect inventory, demand, and response. Combine forecasts of available advertising opportunities, audience activity, marketplace competition, and predicted response to estimate achievable delivery and performance. Estimate outcomes under alternative choices. Develop models that account for changes in budget, bid, audience, and optimization objective, including interactions among these choices, auction dynamics, and campaign constraints. Quantify unrealized opportunity. Incorporate creative-performance estimates from partner teams to assess how stronger creative could have improved campaign results. Translate those inputs into potential gains in delivery, efficiency, or advertiser value. Build models that generalize. Apply probabilistic forecasting, multitask learning, transfer learning, hierarchical modeling, or related approaches to handle sparse segments, cold start, delayed feedback, and changing conditions. Establish trustworthy comparisons. Evaluate numerical accuracy, calibration, uncertainty, and cohort-level performance. Define supported scenarios and identify when additional evidence or experimentation is needed. Close the learning loop. Compare recorded predictions with mature outcomes, diagnose systematic errors, and validate scenario estimates through experiments and observed results. Own production delivery and technical leadership. Partner with engineers on reliable training, serving, monitoring, and iteration. Lead designs, mentor engineers, and collaborate with Product, Data Science, Ads Delivery, Audience, and Creative teams. What we’re looking for A track record of developing and shipping predictive ML systems in advertising, marketplaces, recommendations, search, demand forecasting, or similarly complex domains. Strong foundations in statistical learning, probability, and optimization, with experience modeling large-scale behavioral or transactional data. Depth in one or more relevant areas: probabilistic or hierarchical forecasting, calibrated conversion/value prediction, multitask or transfer learning, delayed-feedback or survival modeling, or response modeling . Strong judgment in evaluation, including temporal validation, calibration, segment-level performance, and the assumptions required to estimate outcomes under changed conditions. Experience addressing sparse observations, cold start, seasonality, distribution shift, selection bias, or partially observed labels. Strong programming and software engineering skills, including experience building and operating production ML systems. Demonstrated ability to lead ambiguous technical initiatives, make practical tradeoffs, and develop other engineers. Preferred experience Complementary depth in one or more of: Demand, supply, and inventory forecasting: Advertising inventory, marketplace demand, traffic, retail demand, or capacity forecasting. Relevant methods include probabilistic time-series models, hierarchical/global forecasting, external-signal modeling, and multi-horizon prediction. Auction and investment modeling: Auction simulation or replay, conditional win-rate and price models, bid/budget response curves, or constrained optimization. Scenario evaluation: Counterfactual or off-policy evaluation, sensitivity analysis, uncertainty propagation, or composition of multiple predictive models. Reach and audience estimation: Population and overlap estimation, probabilistic reach/frequency models, sampling correction, or saturation modeling. Advanced predictive methods: Mixture-of-experts, distributional or quantile prediction, temporal sequence models, or state-space models. What success looks like Accurate and calibrated forecasts across priority advertiser populations; credible comparisons of supported campaign alternatives; reusable capabilities across planning and recommendations; and evidence that advertisers identify valuable opportunities and make better investment decisions. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AK1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: London 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 LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization. Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more. About the role We’re hiring a Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms KEY RESPONSIBILITIES - Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues. - Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs. - Partner with Deployed Engineering to support critical enterprise customers. - Build and refine internal tooling, diagnostics, and runbooks for complex issue triage. - Lead post-mortems for critical incidents and feed learnings back into product and documentation. - Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement. - Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support. - Mentor and coach other support engineers. How to be successful in this role - 4+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms). - Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks. - Programming experience with Python. Bonus if you have TypeScript experience. - Hands-on knowledge of Kubernetes and Docker - Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers). - Experience supporting enterprise customers and collaborating with engineering on complex escalations. - A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection. - High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented Compensation & Benefits - Competitive salary and equity stake for role and stage of company. Commensurate with experience. - Annual salary range: £80,000 - £110,000 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: Paris; London Workplace: Hybrid 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. ABOUT THE JOB Mistral AI is seeking Applied Scientists and Research Engineers focused on time series. You will design, train, and deploy state-of-the-art time-series foundation models, and apply them to the most demanding forecasting problems in industry, from power grids and plants to trading desks. Timestral, our family of time-series foundation models, ranked first on amongst all benchmarks at release (tech report https://arxiv.org/pdf/2610.37585v1: https://arxiv.org/pdf/2610.37585v1 ). The role has two sides: building the next generations of Timestral with our Science team, and taking them into production with our industrial and financial clients, adapted to their data. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art time-series foundation models on clusters with thousands of GPUs. - Generate and curate large-scale time-series datasets, real and synthetic, and build evaluators and benchmarks for forecasting and other time-series tasks. - Push the frontier of Timestral: architectures, training recipes, scaling, and new capabilities such as anomaly detection, classification and embeddings. - Fine-tune and adapt Timestral on client data, in the cloud or on-premise, and benchmark it against the client's existing models. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases, including agents that combine Timestral with Mistral LLMs. - Manage research projects and communications with client research teams. ABOUT YOU - Fluent in English with excellent communication skills, at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Solid knowledge of modern deep learning and large language models: architectures, pre-training, post-training and evaluation. - Experience pre-training or fine-tuning time-series foundation models or large transformer models at scale. - Strong background in time-series modelling: probabilistic forecasting, multivariate series and covariates, and classical baselines (statistical models, gradient boosting). - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn't need roadmaps: moves independently and is comfortable with uncertainty. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Ex-founder or builder - PhD / Master in a relevant field (Machine Learning, Statistics, Applied Mathematics, Physics). Exceptional candidates from other backgrounds welcome. - Research on time-series foundation models: pre-training, scaling, synthetic data or evaluation. - Hands-on experience training or fine-tuning LLMs, building agents and tool use, or models that combine text and time series. - Industry experience in energy, industrial operations, telecom or finance, or experience deploying models for industrial clients. - Experience working on large code bases or large machine learning models at scale. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. 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: Paris; London 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. ABOUT THE JOB Mistral AI is seeking Applied Scientists to build frontier cybersecurity models. You will develop SOTA models across different domains of cybersecurity, from vulnerability analysis to incident response and remediation. You’ll build the environments, training-data pipelines, and evaluations that make these capabilities real and measurable. You'll work closely with cybersecurity actors and real production data, as well as cross-functionally with science, engineering, and product teams teams to deliver high-impact, trustworthy AI for security. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry. You might come from security with a genuine interest in AI science, or from AI science with a genuine interest in security, both paths fit. What matters is curiosity for the side you know less well, and the drive to go deep on it. WHAT YOU WILL DO - Develop, pre-train and post-train domain-specialized foundation models for agentic defensive security. - Work across a diverse set of complex real world problems to build the future of AI for cybersecurity. - Design evaluations and benchmarks that measure realistic security capability on customer-representative tasks. - Build sandboxed execution environments, RL tasks, and verifiers grounded in real customer workflows, and generate and curate the training data for training frontier models. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Own technical delivery across project sprints and manage research communications with customer teams. ABOUT YOU - Fluent in English with excellent communication skills: at ease explaining complex technical to both technical and non-technical audiences. - Experience building harnesses, benchmarks or RL environments for code, agentic or security tasks. - Hands-on security background in one or more of: vulnerability research, exploit development, red teaming, or detection and incident response. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - PhD / Master in a relevant field (Mathematics, Security, Machine Learning). Exceptional candidates from other backgrounds welcome - Contributions to a large open-source or industry codebase. - Publications in top ML/security venues and/or contributions to open-source security or observability tools. - Experience working on large code bases or large machine learning models at scale. - Enjoys improving existing code: typing, tests, CI pipelines. 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: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE The Robotics Applied Research Lead establishes and leads Humanoid’s AI research and engineering function. You decide which Physical AI data problems we work on, define how we test them, and stay directly involved in the most important technical work. You connect four areas that often sit apart: 1. Multimodal and embodied data 2. Transformer-based models and how data impacts robot policies 3. Rigorous offline and real-world evaluation of policies 4. Deployment of models in the data ecosystem This is a player-coach role. In the first year, at least half of your time is direct technical work: designing models and experiments, reviewing or writing code, inspecting data, debugging training, examining failures, and reviewing robot rollouts. You will also build a small research and engineering team. Add people only when the work requires them. MANDATE Turn Humanoid data and technical access into measurable advances in Physical AI systems. You own the answers, and the evidence, to questions such as: - Which model families should we train, adapt, or evaluate? - Which data produces meaningful gains in robot performance? - What coverage, sensors, annotations, and quality controls do the models require? - Which offline measurements predict real-world robot performance? - Where should we adapt existing open models rather than train from scratch? - What should Humanoid build itself, and what should it reuse or obtain through partners?   WHAT YOU'LL DO - Set the technical direction: Define a focused research and engineering roadmap. Select a small number of high-value bets with clear hypotheses, baselines, milestones, and stop criteria. Decide what we build, adapt, license, or access through partners. Drop work that no longer has a strong case. Likely scope includes vision-language-action models, multimodal Transformers, robot foundation models, action representation, imitation and reinforcement learning, world models, cross-embodiment transfer, data-efficient adaptation, and robot-policy evaluation. - Own Transformer research and engineering: Design, adapt, train, and evaluate Transformer-based systems for embodied tasks. Make the architecture and training decisions yourself. Start from strong existing models and baselines. Train from scratch only when evidence supports the cost. Build or review the critical code. - Connect models to data strategy: Define the data needed to train and evaluate the selected models. Specify sensors, modalities, annotations, mixtures, and quality controls. Measure the effect of data quality, diversity, and composition on model behavior. Distinguish data volume from data value. You set technical data requirements; you do not run annotation workforces or field collection. - Own evaluation: Establish offline and real-world evaluation systems, baselines, held-out conditions, and release gates. Guard against leakage, overfitting, and weak success definitions. Compare offline metrics with real-robot outcomes. A benchmark score alone is not a successful result. The evaluation must support a decision. - Move work onto physical systems: Take projects from problem definition through training, hardware integration, and real-world testing. Design safe test plans and staged deployment. Analyse failures across data, perception, model, control, hardware, and environment. Validate material claims on physical systems. - Build a small technical team: Recruit a few complementary researchers and engineers. Lead architecture, experiment, code, and failure reviews. Keep the team focused on validated results, not paper count, benchmark theatre, or headcount. - Represent the function and own responsible development: Explain the strategy to customers, partners, and investors. Convert customer needs into testable technical requirements. State uncertainty and limits clearly. Define safety constraints, supervision, and rollback paths for physical trials. Require reproducible evidence before making capability or safety claims.   WHAT WE'RE LOOKING FOR - Deep, direct Transformer expertise: This is a hard requirement. You must have personally made material architecture or training decisions in one or more substantial Transformer-based systems, such as vision Transformers, VLMs, VLAs, multimodal foundation models, Decision Transformers, diffusion Transformers, video Transformers, world models, or Transformer-based perception, planning, or control. You should be able to explain, in detail, how you represented inputs and outputs, tokenized data, fused modalities, structured attention and temporal context, chose losses, built the data mixture, distributed and monitored training, diagnosed failures, and what you personally changed and why it affected task performance. Using hosted model APIs, prompting language models, or running an unchanged public training recipe does not meet this requirement. - Physical AI or embodied-system experience: You have worked on machine learning for a system that perceives or acts in the physical world: robotics, autonomous vehicles, drones, industrial automation, manipulation, mobile robots, humanoids, wearable or egocentric systems, or similar. At least one substantial project progressed beyond an offline dataset into a real or operational physical system. Simulation-only experience is not sufficient unless you also owned credible sim-to-real transfer and physical validation. - Hands-on technical ability: You write and review high-quality Python. You work directly with PyTorch or an equivalent framework. You can read unfamiliar model and training code, design and debug experiments, inspect failures and rollout traces, work with large multimodal datasets, and make informed decisions about compute, memory, latency, and cost. - Technical leadership: You have set direction for important technical work: a research or engineering group, a major model or robotics programme, or a cross-functional project you owned. You have hired or mentored researchers or engineers, made architecture and resource decisions, stopped weak work, and taken a result into deployment. A management title is not required. Direct ownership is. - Evaluation, communication, and judgment: You design held-out tests, run controlled comparisons, find leakage and confounds, and report results with appropriate uncertainty. You separate evidence from belief, state what remains unknown, and reduce broad research questions to testable work. - Strong preference - Computer Vision: We are particularly interested in candidates who combine deep expertise in Transformer architectures with a strong background in computer vision. Relevant experience may include visual representation learning, vision-language models (VLMs), video and temporal modelling, object detection, segmentation, tracking, multi-view and egocentric vision, 3D and spatial reasoning, pose estimation, calibration, localisation, sensor fusion, or real-time vision systems. - Education: A PhD in machine learning, computer vision, robotics, computer science or a related field is valuable but not required. An equivalent record of original model work, technical leadership, and real-system delivery is sufficient. We care more about what you personally designed, trained, tested, and deployed than about a specific degree or number of years. NICE-TO-HAVE: - Technical expertise: Experience with VLA or robotic foundation models, action generation, diffusion or flow-matching policies, imitation learning, reinforcement learning, world models, robotic manipulation, cross-embodiment training, sim-to-real transfer, distributed training, ROS 2, or safety-critical systems. - Additional experience: Research publications, open-source contributions, early-stage company experience, or direct collaboration with technical customers and research partners.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Argentina; Peru; Colombia; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Voice team is Client Engagement’s premium support channel for high-value clients, providing voice support through the Kraken apps. We deliver exceptional white-glove service that is fast, clear, and trustworthy, earning loyalty through the Voice “friend experience” and shaping each client’s journey into a 6-Star experience. Join a fast-paced frontline team and shape Kraken client journeys. This is a tremendous growth path for an ambitious specialist with a strong performance record and growth mindset. This is an opportunity for someone who wants to round out generalist customer service skills, elevate communication, and work up close with clients. You’ll assist clients and help grow the next generation of Kraken clients across multiple geographies through new products and services, an exciting, hands-on adventure with meaningful impact. This role offers a fixed-term contract, for the duration of 6 months.   THE OPPORTUNITY - Answer inbound Voice calls with friendly, professional service, drive quick, accurate resolutions - Clarify client goals, provide education on Kraken products and services, and guide funding, trading, and other account activities - Test new products and features to develop expertise that resolves issues end-to-end and responsibly position products where they fit - Build client relationships, identify growth opportunities and connect clients with Kraken products that meet their needs. - Achieve goals with your manager, contribute to team discussions and 1:1s, and help improve the client experience through feedback and growth projects.   WHAT YOU BRING - 2+ years of experience in a customer service or business support role where you’ve proven to be a pro at delivering a 5-star experience. This can be within retail, hospitality, or a customer service center - You must be willing to work shifts on a 24/7 rotating schedule, including evenings and weekends - Exceptional attention to detail, with strong workflow accuracy and process adherence - Highly organized, with excellent time management across multiple priorities in a fast-paced environment - Fluency in both English and Spanish at native-like level; proficiency in Portuguese is a plus - Quick to grasp new concepts, systems, and process changes, and skilled at explaining complex procedures clearly to clients and internal stakeholders - A foundational understanding of how crypto trading works, with the eagerness to deepen that knowledge as Kraken’s product suite grows. - Comfortable with Zendesk and knowledge bases; able to multitask with poise       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: EU/Ukraine We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a Product Manager! Requirements 3+ years as a Product Manager owning a revenue-generating product in fintech, payments, or crypto. Experience owning a roadmap and backlog for several directions at once. Strong product analytics: defining North Star and input metrics, building metric trees, funnel, cohort, retention, and churn analysis. Hands-on SQL plus Mixpanel or Amplitude. Financial modelling: unit economics (LTV/CAC, contribution margin, cost per transaction), P&L ownership, ROI forecasting, and pricing and fee modelling. Experiment design: hypothesis testing, A/B testing methodology, judging statistical significance. Market and competitor analysis: SWOT, TAM, competitive benchmarking. Prioritisation and capacity planning: RICE, ICE; experience splitting team capacity across several directions. Jira Product Discovery or Product board. SDLC and technical literacy: Agile delivery, close work with BAs on requirements, understanding of APIs and third-party integrations. Advanced stakeholder management and negotiation with Legal, Compliance, Risk, Finance and Engineering. English Upper-Intermediate or higher. Would be a plus: On/off-ramp and payments: PSP and acquiring integrations, card payments, SEPA/SWIFT and local fiat rails, P2P, OTC. Crypto deposits and withdrawals: networks, confirmations, fees, custody models. Limits, AML/KYC-driven restrictions, and credit or lending products. Prior experience at a crypto exchange or fintech platform. Responsibilities Own the product vision and roadmap. Regularly review its direction against stable revenue, growth potential, and strategic goals. Own backlog: run bi-weekly backlog grooming, set and re-prioritise items (P0–P3, including low-priority duty items), and make sure every ticket that enters is worth the company’s time and fits the roadmap. Allocate Product Group (BAs & Designers) capacity across its directions every 2-week cycle and represent the group in department-wide cycle planning. Define and track metrics (volume, conversion, revenue, cost per transaction, by product, provider, and method) and keep dashboards current. Build and maintain unit economics and P&L views for the domain. Work on fee and rate revisions and their commercial impact. Run market and user discovery: competitor benchmarking, user research, hypothesis validation, A/B tests. Find upsell and cross-sell opportunities. Lead the group team (BAs, Design, Analytics): run the weekly internal check-in and keep the group’s Slack channel and communication in order. Communicate status and decisions to stakeholders in each direction. Align with Legal, Compliance, Risk, Sales, Marketing, and Finance and resolve conflicting requirements. Own high-level product documentation together with BAs. Raise process, feedback, and Jira change requests to improve how the group works. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: San Francisco Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. THE TEAM AND YOUR IMPACT As our Senior Developer Relations Engineer in San Francisco, you'll lead Qdrant's developer engagement in one of the most active AI communities in the world. In this senior individual contributor role, you'll combine hands-on engineering (about 40% of your time) with public speaking, content, and community building (about 60%). Your impact will show up in two places. Externally, you'll turn your Bay Area relationships with engineers, founders, and event organizers into joint projects and workshops with our ecosystem partners, while your talks at premier conferences and your technical content reach hundreds of thousands of developers worldwide. Inside Qdrant, you'll bring what you hear from developers directly to our core engineering team to shape the roadmap, and you'll raise the bar for the DevRel team by starting new initiatives and mentoring others. WHAT YOU WILL OWN - Demos and applied research. Build and maintain open-source demo applications, such as end-to-end retrieval pipelines, recommendation engines, and AI search tools. Prototype new Qdrant use cases by experimenting with emerging patterns like neural sparse encoders, agentic workflows, and AI memory. - Technical content. Write in-depth technical articles, record video tutorials, and create practical guides that make complex concepts easy to follow. - Talks, events, and Bay Area partnerships. Give talks and live coding sessions at conferences, and lead Qdrant's presence at hackathons and workshops. Work with our partnerships team to turn local relationships into joint workshops, demos, and speaking opportunities. - Developer community. Answer technical questions on Discord, X, LinkedIn, and Reddit, and bring what developers need back to our product and engineering teams. WHO YOU ARE - Senior DevRel experience. You have 5+ years in software engineering, Developer Relations, or technical marketing, including at least 3 in Developer Relations. You've independently delivered technical talks, workshops, and community programs, and you can share examples of working applications and collaborations you started. - Technical depth and clear communication. You have strong software engineering skills in Python, Rust, TypeScript, or Go. You can build and debug applications that use vector search, embeddings, and large language models, and explain the "how" and "why" behind them, whether in writing or on stage. - Ownership of outcomes. You've owned a DevRel program or initiative end to end: you set the goals, chose what to build or say, and measured whether it worked, for example through adoption, community growth, or content reach. You can walk us through what you changed based on the results. - Influence beyond your own work. You've changed a product or engineering decision based on developer feedback, and you've helped other team members grow through mentoring, reviews, or shared practices. - Established San Francisco network. You're an active part of the Bay Area developer and AI community, with real relationships among engineers, event organizers, and founders. - Judgment and empathy for developers. You follow the AI ecosystem closely, test new tools for their practical value, and can tell useful technical work from hype. You understand what developers need and use that to choose topics and create content that respects their knowledge. NICE TO HAVE - Search and retrieval depth. You've worked on search or information retrieval systems, or at a search company, and understand how indexing, ranking, and relevance tuning work under the hood. - Applied research. You go deeper than tutorials. You read papers, run experiments or benchmarks, and turn what you find into something developers can use. - Video and social reach. You've built an audience through video or social media, for example YouTube tutorials, livestreams, or technical posts on X or LinkedIn. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE

Location: Ukraine (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for experienced Professional, Scientific, and Technical Services professionals to support a cutting-edge AI benchmarking project focused on Russian corporate, legal, financial, and technology environments. As a Subject Matter Expert, you will create and review realistic, high-quality scenarios that reflect operational, technical, analytical, legal, financial, and project management challenges across consulting, technology, professional services, and enterprise operations. Your expertise will help ensure AI systems understand and respond accurately within highly specialized and knowledge-driven industries. WHAT YOU’LL DELIVER - Design realistic Professional and Technical Services scenarios in Russian or English grounded in operational contexts (e.g., financial audits, software development workflows, IT operations, legal documentation, project delivery, stakeholder communication, compliance reviews) - Adapt structured evaluation rubrics for analytical reasoning, technical problem-solving, project coordination, and professional decision-making tasks - Review AI and human-generated responses for factual accuracy, professional standards, technical quality, and operational realism - Contribute to “gold standard” solutions reflecting best practices across Russian professional services, legal operations, accounting, project management, and technology environments QUALIFICATIONS - Native-level Russian with strong professional English proficiency - 5+ years of professional experience in Professional Services, Technology, Legal Services, Accounting, Audit, Consulting, or Project Management - Background in one or more relevant roles: Accounting & Auditing, IT or Information Systems Management, Legal Practice, Project Management, Software Development, Technology Consulting, Enterprise Operations, Digital Transformation, or Human Resources, Payroll & Employment Compliance - Strong understanding of professional service workflows, regulatory and compliance requirements, technical operations, project delivery methodologies, and Russian business environments WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. What to Consider Before Applying - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain. Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Berlin; London Workplace: Hybrid At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. ABOUT THE ROLE: Client Impact at Upvest owns our clients' journey from signature to go-live and beyond, spanning Launch, Migrations, Account Management, Client Experience and Integration Success. Once a client is live, Account Management takes over: we own the relationship end to end, grow it commercially, run it strategically and make sure our clients see Upvest as a partner, not a vendor. Client satisfaction is one of the things that sets us apart from incumbents, and recommendations from our live clients have already been key to new wins. We are looking for a Head of Account Management to lead this team and Upvest's live client portfolio, which includes some of Europe's best-known fintechs, neobrokers and banks. You will own the commercial development of the portfolio (renewals, upsell, ARR and revenue retention) and the senior relationships behind it, lead a team of senior Account Managers, and build the operating model that lets us scale. This is a hands-on leadership role: you will sit across the table from client C-levels yourself, not only manage the people who do. You will report directly to Jens Maluck, VP Client Impact, and work closely with Growth, Product, Launch, Client Experience and Finance. WHAT YOU’LL DO: - Commercial growth - Own the commercial development of the live client portfolio: renewals, expansions and upsells, against budget and upsell targets - Spot commercial opportunities and leveraging knowledge across the portfolio - Lead commercial negotiations for live clients, including pricing - Build strategic account plans that set out each client's growth path with Upvest, from new use cases and asset classes to new functionality and geographies - Advise clients on their end-user investment offering (product, pricing, promotions, conversion), because the better our clients perform, the better Upvest performs - Provide case studies and references that help win new business - Client ownership - Be the senior counterpart for client leadership teams, from handover after go-live through renewals and escalations - Lead QBRs, Steering Committees and executive alignment, keeping stakeholders aligned from C-level to technical teams - Act as the filter between our clients and the wider Upvest organisation: answer most product, asset class and commercial questions directly, run client meetings independently with your team, and bring in others only where they add real value - Be the first point of escalation for live clients, resolving issues quickly and coordinating the wider organisation where needed - Represent the voice of the client inside Upvest, channelling structured feedback to Product, Operations and Growth - Safeguard the partnership by ensuring contract adherence on both sides - Performance and insight - Own the portfolio KPIs: ARR, net and gross revenue retention, and client satisfaction (CSAT and Account Health Score) - Track client performance (users, conversions, assets under custody, trading activity) against plan, and use anonymised benchmarks to help clients improve - Own the client input to the annual budget and the monthly actuals vs budget review with Finance - Report to senior management on account health, risks and opportunities, with clear actionable recommendations - Team and operating model - Lead, hire and develop a team of senior Account Managers, setting a high bar for quality, execution speed and commercial impact - Define and continuously improve how Upvest manages its live clients: account tiering, governance cadences, account health scoring, documentation and tooling - Drive AI adoption across Account Management, using Claude and system integrations to automate analysis, reporting and preparation work - Work very closely with Client Experience who own the day to day operational alignment and ticket resolution WHAT YOU BRING: - Experience: 8+ years in account management, client success or strategic relationship management for B2B enterprise clients, of which 3+ years leading an account management or client team - Investment and brokerage expertise: You can discuss asset types in depth (equities, ETFs, funds and MMFs, bonds, securitised derivatives, crypto) and the trading, custody, settlement and fee economics behind them. Ideally, you gained this in B2B investment infrastructure or B2C brokerage (e.g. a neobroker or the investment offering of a digital bank) - Commercial track record: You have owned renewals, upsells and negotiations end to end, ideally against NRR / GRR targets or a commission plan, and you can name the deals you generated - Relevant background: Regulated fintech or banking with financial institutions as clients, or B2B API, embedded finance or enterprise SaaS - Product mindset: You are eager to understand the product in depth and E2E, and have a drive to represent it to the client without the Product team present. You understand the value of standardisation and automation over customisation - People leadership: You have led a team of senior individual contributors, and you can show both a strong team culture and raising the bar (coaching, performance management, stepping in when output falls short) - Operating model builder: You have built playbooks, improved processes and implemented systems that let a team scale - Data-driven: You run accounts on KPIs (client performance, forecast vs actuals, adoption etc.) - AI-enabled: You use AI hands-on every day (ideally Claude), are comfortable connecting it to business systems via MCP or similar, and can walk us through workflows you automated - Executive presence: You are a trusted counterpart for C-level stakeholders and lead QBRs, SteerCos and difficult commercial conversations without senior back-up - Ownership: You are the go-to person for your area: you communicate proactively, flag risks early and take a clear position. You are hands-on and not looking for a pure manage-the-managers role IT’S GREAT IF YOU HAVE: - B2C brokerage experience, to guide clients on product design, pricing, promotions, conversion and activity - Experience with country expansion (local market specifics, tax and regulatory set-up, market launch) - A network and market insight in Upvest's core European markets (e.g. Germany, Netherlands, Spain, UK, France) - Experience with migrations or large client transitions - German and/or Spanish language skills - Location preference: Berlin-based preferred. Alternatively London-based or remote, willingness to travel to Berlin every couple of weeks HOW WE UPVEST IN YOU: - Best-in-class AI tools: Every Upvenger has €20,000 per year to spend on the best AI tools available — so you're always working with the most powerful models and tooling on the market. - Impact-driven work: We’re building the infrastructure that will power the future of investing in Europe. It’s complex, ambitious, and meaningful. You’ll work with modern technologies and create something entirely new. No legacy systems, no limits. - Wellbeing: Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year. Recharge with UpRest, a one-month fully paid sabbatical after every 4 years of working at Upvest. - Development: Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it. - Compensation and equity: We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program. - Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements. - Inclusion: We’re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem for our female Upvengers, or UpVergent supporting neurodivergent Upvengers and allies. OUR VALUES: - Make it easy for others. We simplify the complex and act with the best intentions. - Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. - Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. - Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are hiring a Senior Applied AI Engineer to build and own that machinery. You will complete the entity-agent pipeline, build the evidence adapters behind a single envelope, run the benchmark and golden-gate system on a schedule, build the review and batch tooling the team operates, and carry the agents onto ZoomInfo’s Agentic Platform.

Location: Amman, Jordan We are looking for a Partnership Marketing Officer who supports the development and management of strategic marketing partnerships that strengthen ProgressSoft's industry positioning, expand market visibility, and create business opportunities. The role focuses on identifying and securing new strategic partnerships in collaboration with internal teams, while planning and executing marketing initiatives, including demand generation events, campaigns, and joint partner activities. It also involves managing industry platforms, accreditations, media collaborations, and awards to strengthen market presence and support business growth. Responsibilities -Partnerships and Sales Enablement Coordinate joint marketing initiatives with strategic partners and business development teams. Support the development of co-branded campaigns, webinars, events, case studies, and partner-focused content. Maintain communication with partners to align on marketing activities, deliverables, and promotional opportunities. Coordinate partner-related content and collateral with internal marketing teams. Support initiatives that generate market awareness, strengthen partner engagement, and create qualified business opportunities. Track leads and opportunities generated through partner marketing activities and coordinate follow-up with business development teams. Coordinate with internal teams to convert relevant touchpoints into meaningful partnerships, ensuring alignment with business priorities, target markets, and growth objectives. -Industry Recognitions Research and maintain a calendar of relevant industry awards across company, product, innovation, and corporate responsibility categories. Research relevant company-wide and product-specific industry accreditations and certifications. Monitor competitor recognition and identify emerging award/accreditation opportunities. Evaluate recognitions based on credibility, relevance, eligibility, submission requirements, and strategic value. Coordinate recognition submissions with product teams and other stakeholders, ensuring timely collection of supporting materials. Track submissions, results, deadlines, and recognition achieved. -Strategic Partnerships Research and identify potential industry partners, including financial technology associations, payment networks, consulting firms, and relevant industry organizations. Evaluate partnership opportunities based on strategic relevance, geographic reach, audience, investment requirements, and expected business value. Develop partnership shortlists with recommendations, proposed collaboration models, and performance indicators. Track partnership performance and recommend renewals, improvements, or new opportunities. -Industry Platforms and Vendor Benchmarking Research and evaluate relevant industry benchmarking, analyst, and vendor review platforms. Monitor competitor presence, platform credibility, audience reach, and engagement opportunities. Recommend suitable platforms based on positioning objectives, participation requirements, costs, and expected returns. Coordinate company profiles, product information, supporting assets, and ongoing platform participation. Monitor platform performance and maintain reports to evaluate effectiveness and continued investment. Requirements A bachelor’s degree in Marketing, Business Administration, Communications, or a related field. 2-4 years of experience in marketing, partnership coordination, business development support, or a related field. Strong research and analytical skills, with the ability to evaluate opportunities and develop well-supported recommendations. Good understanding of B2B marketing, strategic partnerships, and industry positioning. Strong organizational and project coordination skills, with the ability to manage multiple initiatives and deadlines. Ability to assess budgets, performance indicators, and the effectiveness of marketing investments. Strong written and verbal communication skills, with attention to detail. A proactive approach to identifying opportunities, following up on commitments, and delivering results. Professional fluency in English.

Location: Houston, United States We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we have supported our clients across the world with unrivalled expertise, equipment, and technology throughout the entire asset lifecycle – both offshore and onshore. Operating through our global business lines of Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions, we provide a broad range of specialist services including cranes, lifting, fluid power, training, equipment rental, pipeline, process, subsea, and valve services. At EnerMech, we are driven by operational excellence, innovation, and technical expertise, delivering value through integrated solutions that reduce risk, improve efficiency, and enhance performance for our customers worldwide. Role overview The Global Head of QHSE Systems and Assurance owns the design, integrity, and continual improvement of the EnerMech Integrated QHSE Management System across all regions and business lines. Reporting to the VP QHSE, the role sets one global standard for how QHSE work gets done: the policies, standards, procedures, digital tools, performance data, and assurance processes that sit behind every job EnerMech delivers. The role is accountable for keeping the system simple enough to use at the worksite, robust enough to satisfy clients, certification bodies, and regulators, and built around how work is actually done rather than how it is imagined. The position leads the global ISO 9001, ISO 14001, and ISO 45001 certification program, the Group QHSE audit and assurance program, and the QHSE performance reporting framework that informs executive decision making. Responsibilities Act as global system owner and single point of accountability for the structure, content, and performance of the EnerMech Integrated QHSE Management System (IMS) Develop and deliver a multi-year QHSE Systems and Assurance roadmap aligned with the Global QHSE Strategy and business objectives Harmonize regional and business line QHSE systems into one global framework, removing duplication and conflicting requirements while allowing for legitimate local legislative and client variation Own the QHSE document hierarchy (policies, global standards, procedures, work instructions, and forms) and ensure documents are controlled, current, and written for the people who use them Lead the global ISO 9001, ISO 14001, and ISO 45001 certification program, including certification body management, multi-site certificate scope, surveillance and recertification audits, and closure of nonconformities Ensure the business works in accordance with applicable legislation, client requirements, and industry standards such as OSHA, UK HSE regulations, LOLER, PUWER, API, ASME, and IOGP guidance as relevant to region and scope Establish and maintain a global process for identifying, registering, and evaluating compliance with legal and other requirements in every operating region Develop and implement the Group QHSE Audit and Assurance Program on an annual, risk-based plan covering first, second, and third line assurance, and ensure findings are tracked to verified closure Lead management of change for the IMS so changes to standards and procedures are risk assessed, communicated, trained, and verified before taking effect Own the QHSE digital platform strategy (incident management, audit, action tracking, document control, competence, and permit systems) and partner with IT to select, configure, and drive adoption of QHSE software Define the global QHSE KPI framework, including leading and lagging indicators, SIF potential classification, data definitions, and incident reporting thresholds, so performance is measured the same way in every region Deliver monthly, quarterly, and annual QHSE performance reporting to the VP QHSE, Executive Leadership Team, and Board, turning data into clear insight and recommended action Own the global incident management and investigation standard, including classification, notification, investigation methodology, and quality review of investigation outputs Establish a global learning process so insights from incidents, near misses, audits, and successful work are shared across regions and business lines and lead to real change Integrate Human and Organizational Performance (HOP) principles into system design so procedures, controls, and processes support the people doing the work Lead the global nonconformance, corrective and preventive action, and continual improvement process; hold owners to account for closure and verify effectiveness Facilitate Group-level management review of the IMS and support regional management reviews Standardize core QHSE processes including risk assessment, permit to work interfaces, contractor and supplier QHSE management, competence assurance, emergency response, environmental management, and customer quality requirements Support tendering, pre-qualification, and client audit requests with management system evidence, and work with regional teams to maintain third-party verification platform compliance Coordinate environmental and sustainability data collection and assurance in support of Group ESG reporting obligations Develop the QHSE training framework for management system awareness, internal auditor competence, and incident investigation competence Benchmark the IMS against industry good practice and maintain relationships with relevant industry bodies and peer organizations Manage the QHSE Systems function budget, including software licensing and certification costs Line management, development, and performance management of the global QHSE Systems team, and build regional capability through a network of QHSE systems leads Requirements Essential Bachelor’s degree in Engineering, Occupational Safety, Environmental Science, Quality Management, or a related technical discipline ISO Lead Auditor certification (IRCA, Exemplar Global, or equivalent) in at least one of ISO 9001, ISO 14001, or ISO 45001 Root Cause Incident Investigation qualified (TapRooT, ICAM, Apollo, or equivalent) Preferred Master’s degree in a relevant discipline Professional certification such as CSP, CMIOSH, CQE, CMQ/OE, or NEBOSH National Diploma Lead Auditor qualification across ISO 9001, ISO 14001, and ISO 45001 (integrated management system) Lean Six Sigma Green Belt or Black Belt Training in HOP, Learning Teams, or similar operational learning methods Benefits At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Infrastructure Engineering team enables Reddit to deliver Reliability, Performance, and Efficiency, with a single opinionated technology stack. We empower Reddit developers by delivering a reliable, scalable, and automated foundation - unifying compute, seamless deployments, robust storage, and high-performance messaging to maximize developer velocity and system resilience. This centralized role hires across several high-impact teams, including: Messaging: Delivers a reliable, performant, and efficient platform to support asynchronous communication across all products and services at Reddit. Compute: Provides a resilient, high-performance, and cost-effective abstraction layer that streamlines application deployment and execution management across systems. Build & Deployment: Builds platforms and developer tooling that enable engineers to build, test, and safely deploy software across Reddit’s infrastructure. Consumer IAM: Authentication, authorization, and account infrastructure services. Core Systems & Libraries: Builds the foundational services that power Reddit. Security: Builds software that improves the security and reliability of Reddit’s infrastructure. GRC (Governance, Risk & Compliance): Builds software and automation that help Reddit manage risk, monitor controls, and scale security and compliance programs. What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Engineering: Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions. API & System Performance: Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance. Technical Rigor & Modern Tooling: Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently. In your day-to-day, you will: Steer: Work with the team to select, scope, and drive high leverage projects that align with Reddit’s goals. Build: Execute on a strategy and create a more performant, more scalable, higher quality architecture around authentication, authorization and identity. Amplify: Mentor, coach, and collaborate with other technical contributors Collaborate: Work together with a variety of cross functional teams across Reddit Engineering. Evolve: Learn and improve your own technical and non-technical abilities Who you might be: 5+ years of experience building internet-scale software, preferably with a focus on machine learning storage infrastructure. Software development experience in one or more general purpose programming languages; Golang, Python, C++, Java Experience with essential cloud infrastructure (Kubernetes, IC/CD, AWS, GCP) Hands-on experience implementing features, optimizations, and bug fixes to distributed messaging systems. Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product. Degree in Computer Science or equivalent technical field. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,000 — $267,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.