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Location: San Francisco Workplace: Hybrid Perplexity is hiring sellers fast, and every new seller has to learn a fast-moving product line: Enterprise, Comet, Computer and the API. We're looking for a Sales Onboarding Manager to own how new sellers go from their first day to selling on their own. You'll build the program, keep it current, run it, and certify that each seller is ready before they sell independently. This is a high-ownership, highly visible role on a small Sales Enablement team. You'll partner with the Sales Enablement Lead and work closely with sales leaders, frontline managers, Product, Product Marketing, Solutions and Revenue Operations. Your goal is a robust, relevant, progressive and measurable ramp that gets faster as we scale. ABOUT THE ROLE The Sales Onboarding Manager owns the onboarding experience for Enterprise and Commercial Account Executives (AEs) and Business Development Representatives (BDRs), from Day 1 through field certification. You'll design the curriculum, keep it up to date as the product changes, lead the sessions yourself, manage the logistics of placing each cohort into the right sessions, and run the certifications that decide when a new hire is ready. Company-wide new-hire orientation is owned by a separate onboarding role. Ongoing training for ramped sellers is owned by Sales Enablement. You'll partner with both so new sellers move smoothly from orientation into their sales ramp and then into working independently with ongoing training from Enablement. RESPONSIBILITIES - Own the sales onboarding program. Co-design and run role-based ramps for BDRs and for Enterprise and Commercial AEs, including learning objectives, milestones and time-to-productivity targets for each stage. Where BDRs and AEs need the same foundations, they learn them together. Where the jobs differ, each gets its own track. - Build the BDR ramp. Teach new BDRs prospecting and outbound: ideal customer profile and persona research, account and territory rules, multi-channel sequences, cold calling, cold email, qualification, and clean handoffs to AEs. Get BDRs productive in the prospecting stack, including Salesforce, Apollo and the dialer. - Build and maintain content. Create and update modules, playbooks, talk tracks, demo guides, knowledge checks and self-paced content. Update materials as products, pricing, positioning and process change, and retire anything out of date. - Facilitate live sessions. Lead engaging, interactive sessions (virtual and in person) on Perplexity's products, sales process, customer personas, discovery, demos, objection handling and tools. Bring in subject-matter experts from Product, Product Marketing, Solutions and top sellers. - Run cohort logistics. Work with Recruiting and sales leaders to track incoming hires, assign each one to the right sessions for their role, segment and start date, and manage calendars, attendance, make-ups and pre-work. - Certify field readiness. Design and run role-specific certifications using clear rubrics. For BDRs, that means cold-call, email and qualification certifications. For AEs, it means pitch, discovery and demo certifications. Both roles also certify on tools. Calibrate scoring with BDR and sales managers, give actionable feedback, and decide when a new hire is ready to sell on their own. - Partner with frontline managers. Give managers visibility into each new hire's progress, flag risks early, and equip managers to reinforce onboarding through coaching and call reviews. - Measure and improve. Track completion, certification pass rates and ramp attainment. For BDRs, also track activity, meetings booked and accepted, and pipeline sourced. For AEs, also track time to first meeting, pipeline and closed business. Use the data and new-hire feedback to improve the program each cohort. - Scale with leverage. Use AI tools, including Perplexity's own products, to build content faster, personalize learning paths and automate repetitive logistics so the program keeps up with hiring. WHAT WE'RE LOOKING FOR The best candidates are strong facilitators who also design programs and run operations well. You can command a room, build a curriculum from a blank page, and keep a complicated cohort calendar running smoothly. You hold a high bar for readiness and know how to tell a manager when a seller isn't there yet. Must-haves - 2–4 years in sales enablement, sales onboarding or sales training, ideally at a high-growth B2B SaaS or AI company. Experience carrying a quota or managing sellers is a strong plus. - A track record of designing and running a sales onboarding or ramp program end to end, with measurable impact on ramp time or productivity. - Excellent live facilitation, virtual and in person, with sellers at different experience levels, from early-career BDRs to seasoned AEs. - Experience designing and running certifications or skills assessments (such as cold-call, pitch, discovery or demo) using rubrics that sales managers trust. - Strong program management and operational rigor. You can run several overlapping cohorts, schedules and stakeholders without dropping details. - Working knowledge of modern sales methods (such as MEDDICC, Command of the Message or similar), outbound prospecting and the full sales cycle from first touch to close. - Comfort learning technical products quickly and explaining them clearly. You can learn an AI product well enough to teach and demo it. - Fluency with the sales tech stack, such as Salesforce, a conversation-intelligence tool and an LMS or content-management platform. - High ownership and comfort with ambiguity in a fast-moving environment where the product changes weekly. Nice to have - Experience onboarding sellers for AI, developer or other technically complex products. - Background in instructional design or adult learning. - Previous experience as a BDR/SDR or as a BDR/SDR manager. - Experience building onboarding for both Enterprise and Commercial/velocity sales motions, or for Customer Success roles. - Experience standing up enablement tooling (LMS, content hub, call library) or reporting on ramp metrics. - Experience using AI to build content or automate enablement operations

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: 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: 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.

We are looking for a Senior Machine Learning Engineer to develop, deploy, and maintain machine learning and AI solutions for advanced financial data processing and reconciliation platforms. You will work with large and complex financial transaction datasets to build solutions for transaction matching, reconciliation, and exception handling.

Location: Slovenia; Lithuania; Latvia; Colombia; Brazil; Argentina Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Staff Data Scientist / Machine Learning Engineer to join our dynamic team on a full-time basis. Responsibilities: - Design, build, and maintain predictive Lifetime Value (pLTV) models using machine learning techniques such as XGBoost, CatBoost, and probabilistic forecasting methods. - Develop and manage a tiered scoring framework that assigns users to different prediction models based on data availability and signal quality. - Create and optimize calibration frameworks that transform raw model outputs into business-ready values through normalization, scaling, and custom loss optimization strategies. - Own feature engineering processes, building and maintaining scalable feature datasets from transactional, behavioral, and engagement data. - Define and enforce feature quality standards, ensuring model inputs are reliable, relevant, and suitable for production use. - Monitor model performance, drift, and data distribution changes, proactively identifying when retraining or model adjustments are required. - Analyze the impact of deployed models on downstream outcomes and detect feedback loops that may affect future model accuracy. - Develop and improve identity resolution processes to unify behavioral and transactional data across multiple data sources. - Build, test, and maintain production-grade Python services and data pipelines for model training, scoring, and signal delivery. - Implement robust software engineering practices, including automated testing, CI/CD, monitoring, idempotent processing, and deployment safeguards. - Collaborate with data, engineering, and product stakeholders to improve data quality, model effectiveness, and platform scalability. - Operate and optimize ML workflows in cloud environments using orchestration, scheduling, and distributed processing tools. - Ensure the reliability, accuracy, and scalability of machine learning systems that support critical business decision-making and performance optimization. Requirements 5+ years of hands-on ML engineering in Python with production-deployed models (not just Jupyter notebooks). You should be comfortable writing production-grade code, not just prototypes. Experience with gradient boosted trees (XGBoost, CatBoost, or LightGBM) in a production setting, including hyperparameter tuning, feature importance analysis, and model evaluation beyond default metrics. Strong SQL and BigQuery fluency. You will write complex feature engineering queries, scheduled transformations, and data validation logic directly in BigQuery. GCP production experience. Cloud Run, Airflow/Composer, Vertex AI, Pub/Sub. You have deployed and maintained ML workloads on GCP, not just completed certification exercises. Understanding of model calibration. You know the difference between a model that minimizes RMSE and a model that maximizes business value. You have experience with or strong intuition about how prediction errors compound when consumed by a downstream optimization system. Outbound API integration experience. You have pushed model outputs into external systems that act on them (ad platforms, recommendation engines, pricing systems, bidding systems). Strongly Preferred: E-commerce or DTC domain experience. Customer lifetime value, purchase prediction, churn modeling, or customer segmentation for retail or subscription businesses. Familiarity with probabilistic customer models (BG/NBD, Gamma-Gamma, or similar frameworks). If you haven't used these specifically, strong Bayesian statistics foundations are equally valuable. Ad platform signal engineering. Experience with Google Ads API (ConversionUploadService, Enhanced Conversions), Meta Conversions API (CAPI), or similar server-side event dispatch systems. Identity resolution or entity matching. Graph-based identity stitching, probabilistic matching, or CDP-style cross-device identity work. Nice-to-have: Terraform, CI/CD pipeline design, Docker containerization for ML workloads. Experience with causal inference methods, A/B testing in ad spend environments, or multi-armed bandit allocation. Familiarity with agentic development workflows (Claude Code, Cursor, or similar AI-assisted coding tools).

Location: Dhahran, Saudi Arabia We are seeking an experienced Instrumentation Engineer to join our Mechanical Services Shops team, responsible for rotating and static equipment repair and component fabrication. The successful candidate will ensure the accuracy, reliability, availability, and lifecycle integrity of instrumentation across industrial machinery and facility systems. The role involves instrument engineering, calibration, troubleshooting, preventive maintenance, commissioning, and continuous improvement of instrumentation and control systems. Key Responsibilities Instrumentation Engineering: Specify, evaluate, and maintain pressure, temperature, flow, level, vibration, speed, position, force, torque, gas, and analytical instruments. Calibration and Metrology: Develop calibration plans, establish tolerances and intervals, maintain traceability, document calibration results, and assess out-of-tolerance conditions. Troubleshooting and Maintenance: Diagnose faults involving sensors, transmitters, wiring, grounding, signal conditioning, I/O systems, instrument loops, networks, alarms, and protection systems. Controls and Commissioning: Prepare instrument datasheets, loop diagrams, hook-ups, cause-and-effect documentation, calibration procedures, FAT/SAT plans, loop checks, and commissioning records. Asset and Change Management: Maintain instrument registers, critical spares, configuration backups, calibration history, obsolescence plans, bypass controls, Management of Change (MOC) records, and contractor quality documentation. Reliability Improvement: Develop preventive-maintenance strategies, investigate recurring failures, implement corrective actions, and ensure compliance with applicable engineering and safety standards. Minimum Requirements Bachelor's degree in Instrumentation, Control Systems, Electrical, Electronics, Automation, or Mechatronics Engineering from a recognized and approved program. Minimum 12 years of industrial instrumentation experience, including at least 7 years maintaining and commissioning instrumentation for manufacturing equipment and facility systems. Strong knowledge of industrial sensors, transmitters, analyzers, vibration and speed probes, control valves, data acquisition, signal standards, grounding, and calibration. Hands-on experience with PLC/DCS I/O, HART or fieldbus devices, loop checking, alarm and trip systems, instrument networks, and OEM machine interfaces. Proven ability to develop calibration and preventive-maintenance plans, troubleshoot recurring failures, and manage instrument configurations. Preferred Qualifications ISA CCST or CAP certification. Vendor-specific DCS/PLC training. Vibration instrumentation training. ISO/IEC 17025 metrology training.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is hiring a People Business Partner to support managers and employees across Marketing, Finance, Legal, People, Talent, Workplace, and Executive Assistants. Reporting to the Lead People Business Partner for Business & G&A, you’ll be the primary People Business contact for these teams. This is a hands-on individual contributor role: one day you may coach an employee through a difficult conversation, and the next you may partner with a C-suite executive on a major reorganization. No task is too big or too small. You’ll build a sustainable network across employees, managers, and leaders so you deeply understand each team’s work, talent, and business goals. You’ll independently own the People Business agenda for this portfolio, including its most senior leaders: set priorities with them, shape consequential talent and organizational changes, and drive the work through implementation and results. WHAT YOU'LL DO - Own the People Business agenda for your portfolio. Build trusted relationships across employees, managers, and senior leaders; understand each team’s business goals, talent, and challenges; and set priorities that deliver results. - Improve how managers manage. Coach managers through performance, feedback, development, retention, and difficult talent decisions. Help employees prepare for difficult conversations, and partner with senior leaders to strengthen management across their teams. - Drive talent and organizational changes. Use firsthand context and people data to diagnose needs, align leaders on trade-offs, and lead work such as team redesign, leadership development or hiring, and new performance approaches through implementation and measurable results. - Own sensitive people matters. Manage intake, communication, and follow-through for employee relations, leave, accommodations, investigations, and other cases, partnering with People Operations, Legal, Immigration, and other specialists. - Lead performance, engagement, and compensation work. Guide teams through twice-yearly reviews and engagement cycles, including manager preparation, calibration, and follow-up. Advise leaders on cash and equity rewards through partnerships with the Compensation team. - Make the wider People Business team more effective. Identify recurring gaps, build reusable processes, guidance, or tools, drive adoption, and measure improvements in quality, consistency, or capacity. WHAT YOU NEED - A strong record of improving how managers manage, including direct coaching on performance, development, retention, and difficult talent decisions. Relevant experience may come from People Business Partner work, consulting, leadership development, or substantial management experience. - Sound talent judgment and independent ownership. You can earn senior-leader trust, set priorities across a broad portfolio, and drive consequential people and organizational changes through implementation with limited direction. - Good judgment in sensitive situations. You act decisively with incomplete information, communicate clearly, maintain confidentiality and documentation, and know when to involve specialists or escalate with a recommendation. - Strong analytical habits. You use people and business data alongside firsthand context to identify priorities, recommend practical action, and assess results. - A hands-on IC mindset. You enjoy detailed casework and direct employee and manager coaching alongside senior-leader partnership. If your background is outside HR, you can learn People policies and case processes quickly with coaching. NICE TO HAVE - Prior People Business Partner experience, including employee relations, compensation, and recurring performance and engagement cycles. - Experience in people consulting, performance coaching, or learning and development that includes direct work with managers and measurable talent outcomes. - Experience creating reusable manager guidance, case templates, or responsible AI and automation workflows that improve a People team’s effectiveness. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: London, England; London, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team Cx App Foundations is a platform organisation within our global Cx organisation. It provides shared consumer foundations and platform capabilities used by engineering teams across Wolt, DoorDash, and Deliveroo. Within this organisation, the Velocity team owns the paved road for consumer app development across mobile and web: shared SDKs and client foundations, integration patterns and multi-brand customisation, migration playbooks and reference implementations, and developer tooling that makes building on shared foundations fast and safe. Our mission is to reduce the cost, time, and risk of building consumer experiences across platforms and brands. Product teams own customer-facing experiences; our job is to make sure they can spend their time on delivering delightful experiences. The team is AI-native: AI is a default part of how we design, build, and ship software. About the Role As the Engineering Manager, you will lead a team of experienced engineers across mobile and web, collaborating closely with product teams, design, and adjacent platform organisations across three brands. Your primary responsibility will be owning the team's roadmap and delivery of shared client foundations, and driving their adoption across the organisation, so that product teams ship delightful customer experiences without rebuilding the foundations under them. You will be a key player in keeping the team's operating model healthy: clear intake from stakeholders, predictable delivery, and support expectations that keep the platform from drifting into a general escalation queue. You will also guide architectural and system design decisions with your tech leads. You will stay hands-on: contributing code, reviews, and prototypes alongside the team is part of the job. This role is ideal for a leader who has run platforms, SDKs, or shared services for other engineering teams, communicates clearly across brands and time zones, and wants their impact measured through what other teams achieve with the foundations you ship. Location: London, UK. This is a hybrid role, with 3 days a week in the office. What you'll be doing Own the platform roadmap - the shared SDKs, client foundations, and developer tooling the team ships - and sequence it against the migration and adoption goals of the three brands Drive adoption of the shared foundations by partnering with product teams, running onboarding and rollout support, and making the supported path the easiest path Lead, coach, and grow experienced mobile and web engineers, keeping growth conversations, calibration, and feedback loops running Keep the team's operating model healthy: clear intake (stakeholder management, shared-platform, product-specific, or exception work), supported capabilities with entry criteria and support expectations, and predictable delivery Guide architectural and system design decisions for client foundations that three brands and multiple app platforms depend on Stay hands-on by contributing code and reviews alongside the team, and champion AI-native development practices Grow the team through hiring What You’ll Need to Thrive You have 3+ years of experience managing engineers, including a team with senior engineers You have a solid background (5+ years) in mobile or web engineering, with enough technical depth to hold your own in architecture discussions about client foundations You use AI tooling fluently in your day-to-day work and stay close to the code You have run a platform, SDK, or shared service that other teams depend on, and know how to treat internal customers as customers You work across boundaries naturally: product teams, design, other platform organisations, data/analytics and stakeholders in other locations and time zones You hold a high bar for engineering quality and can navigate production incidents and release tradeoffs with calm structure Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Sofia, Bulgaria Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving. This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo. Official website: nexo.com Your role: Advise managers and employees at all levels on feedback, performance, employee relations, coaching, and career development. Coach managers on performance management and on setting development goals for their teams. Diagnose organizational effectiveness and employee satisfaction, and design practical approaches to improve them. Contribute to HR programs such as retention, compensation, benefits, and learning and development. Analyze HR data (compensation, headcount, turnover, performance, training, surveys), build team dashboards and metrics that turn it into clear recommendations for leaders. Hold regular check-ins and one-on-one meetings with employees at key moments of their journey. Run the quarterly performance cycle, including assessments, calibration and performance improvement plans. Create career tracks, training and development initiatives that support career mobility and job performance. Work with the HR team to build a culture of excellence where people feel engaged and inspired to deliver strong business results. What makes you stand out: Bachelor’s degree in HR, Organizational Development, or a related field (a master’s degree is preferred). 4+ years of HR experience, with strong hands-on experience in employee relations, talent management, learning and development and organizational development. Proven experience advising and coaching senior leaders and managers on people topics. Strong analytical skills: advanced Excel, experience building dashboards and reports, turning HR metrics and survey results into insights and recommendations. Proficiency with HR systems (HRIS/HCM), experience with Jira, Confluence and Tableau is a plus. Excellent spoken and written English, including strong writing skills. Strong program management and organizational skills, and the ability to adapt in a fast-changing environment. Comfortable using AI tools to speed up content creation, analysis, and everyday HR work. A proactive, strategic mindset, with a collaborative, patient, and positive approach. Nexo benefits: Competitive and rewarding remuneration package. Annual performance-based bonuses. Comprehensive Learning Hub for continuous growth. Hybrid work model: primarily office-based with scheduled home office flexibility. A dynamic and inspiring environment with cutting-edge projects. Career development opportunities in a global leader driving the next generation of wealth. Customizable personal benefits package. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses. Parking and public transportation cards at preferential rates, plus free electric bikes. Fresh fruits, snacks, and a well-stocked office kitchen. Regular department team buildings and company-wide team buildings.

Location: Bangalore; Jaipur; Hyderabad Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your Mission: UiPath is building a new way to design and deliver enterprise processes. UiPath cartographer draws on a curated library of industry process knowledge, interviews the business, and produces process maps and design documents. AI coding agents then turn those designs into working, orchestrated solutions, in days rather than months. In insurance, "almost right" isn't good enough. The best AI companies in regulated industries have learned the same lesson: quality comes from making a senior practitioner part of the team to building the benchmarks, evaluations and feedback loops around their experience and judgment. That's this role. As our Principal Expert for insurance, you will own the quality of everything our AI produces for US insurers. You'll set the bar, build the tests that hold the AI to it, and work in the field with customers and partners to make sure what we ship works in a real carrier. This role does not carry a sales quota and is not a product management role. Success is measured by the quality of the insurance solutions we deliver and how confidently customers build on them. Why this role is exciting: - Your work sets the standard. What you define as good will be used by insurance customers, partners and AI agents across the platform. - You see the impact. Take a process from discovery to a working solution in days, then keep improving it. - You're building something new. Help decide which lines of business we go after next and how we measure the success of AI-designed processes. What you'll do at UiPath: Own insurance AI quality - Own the quality of insurance process knowledge, designs and solutions across Property & Casualty and Life & Annuity. - Decide what needs fixing first, review changes before they go to customers, and sign off when a process is ready. - Work with industry experts, partners and reviewers to maintain and improve quality. Build the insurance benchmark - Build a library of real insurance use cases covering claims, FNOL and triage, total loss, endorsements, life claims, medical records, disability claims and new business NIGO. - Define test cases, scoring criteria and expected answers to evaluate every new AI model and product release before it reaches customers. Turn expert judgment into evaluations - Evaluate AI outputs at every stage, from process knowledge and process maps to design documents and working solutions. - Work with applied scientists and engineers to make sure automated AI evaluations match expert judgment, so we can scale quality checks without relying on manual reviews for everything. Find failures and make sure they get fixed - Review actual outputs, identify common failure types across regulation, coverage, workflows, data and terminology, and prioritise them based on customer impact. - Turn recurring failures into reusable test cases and make sure fixes work before they go live. - Share clear updates on quality, key issues and progress with leadership, product teams and customers. How you'll work: You'll work in a small, senior team of automation consultants, engineers and applied scientists, working directly with customers. - Work with insurance carriers, MGAs and consulting partners to understand how their claims and underwriting teams operate, and test our designs against real processes. - Join consultants and engineers on customer deployments and use what you learn to improve our benchmarks and evaluations. - Run a regular review cycle, roughly every two weeks, to assess outputs, prioritise fixes and track improvements. - Join customer and partner meetings. What you'll bring to the team: - Extensive experience (typically 12+ years) in US insurance, ideally starting hands-on in claims and moving into claims operations senior or mid level roles. - Deep P&C or Life & Annuity knowledge across the lifecycle - Working knowledge of US claims regulation: unfair claims settlement practices, state acknowledgment and payment deadlines, total-loss and salvage rules, and market conduct exams. - Experience mapping or redesigning claims or policy servicing operations: queues, handoffs, SLAs, exceptions, fraud referral and QA. - The confidence to review complex documents quickly, spot what's plausible but wrong, and explain exactly why. Nice to have: - Life & Annuity or disability expertise: contestability, beneficiary determination, unclaimed property, suitability, and underwriting evidence such as medical records. - Experience evaluating AI or automation output: writing test cases, rubrics or reference answers, or running QA or validation programs. - Experience with insurance AI, claims automation or document intake programs. - Comfort with data and light technical work, such as spreadsheets, data analysis or prompting AI tools. - Experience leading or calibrating a team of reviewers, auditors or claims QA specialists. - Commercial lines, workers' compensation, employee benefits or broker/MGA experience. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. We’re looking for an experienced Senior Talent Specialist to join our People and Culture team. This is a great role for someone who’s passionate about finding great talent and working across various markets. We fundamentally believe the biggest driver of company success will be the speed and quality of our hiring. It sets the foundation for everything else that we do to achieve our ambitious mission.   ABOUT THE ROLE As a key member of the People & Performance team, you’ll play a hands-on role in attracting, sourcing, and hiring world-class talent to support our business as we scale globally. You’ll work closely with hiring managers to understand their team needs, anticipate upcoming roles, and manage end-to-end recruitment processes that ensure we bring in exceptional people who align with our mission and values. Reporting to the Talent Lead, you’ll focus on executing recruitment strategies, managing candidate pipelines, and delivering an outstanding candidate experience that reflects the calibre of our product and culture. This role is perfect for someone who thrives in a fast-moving environment, enjoys partnering closely with teams across the business, and wants to have a direct impact on how we grow.   WHAT YOUR DAY WILL LOOK LIKE - Manage full-cycle recruitment for roles across regions and functions, from sourcing and screening to coordinating interviews and supporting offer processes. - Contribute to talent strategy and workforce planning, supporting forward-looking hiring plans, capability mapping, and future skill needs as the business scales. - Help shape and evolve our Employee Value Proposition (EVP), partnering with People & Performance and the business to ensure our story resonates in the market and reflects the real employee experience. - Build scalable recruitment practices and foundations, designing processes, tools, and ways of working that can flex across regions, functions, and increasing hiring volumes. - Upskill and enable hiring leaders, through coaching, training, and ongoing partnership to lift interviewing quality, assessment rigour, and hiring decision-making. - Support compensation benchmarking and market insights, contributing data and insights to inform fair, competitive, and consistent offers aligned to our compensation philosophy. - Partner on diversity, equity, and inclusion initiatives, helping embed inclusive hiring practices and broaden access to talent across all roles. - Represent Halter in the market, acting as an ambassador at events, universities, and industry forums to strengthen our talent brand. - Build and maintain strong candidate pipelines for current and future roles, proactively sourcing talent through multiple channels. - Work closely with hiring managers to understand role requirements, team goals, and key success profiles. - Provide guidance on hiring processes and help managers run smooth, effective, and inclusive recruitment cycles. - Deliver an exceptional, consistent candidate experience at every stage of the process, reflecting our culture and values. - Ensure all communication and interactions contribute positively to our employer brand. - Maintain our ATS and recruitment workflows to keep the hiring process efficient and organised. - Track and share key metrics like time-to-fill, pipeline progress, and candidate feedback to help improve our approach over time.Support initiatives around internal mobility, diversity, and employer branding. - Look for opportunities to improve recruitment processes and tools as we scale.We’re a fast-moving growth company, so from time to time, other responsibilities will pop up and you’ll be part of making it all happen! WHO ARE WE LOOKING FOR - 5+ years in talent acquisition, ideally in high-growth or global tech environments and multiple disciplines (even better if you have extensive experience recruiting hardware, software or wider technical roles!) - Proven experience building and scaling high-performing teams across multiple regions. - Strategic business partner who can zoom in and out: from exec-level reporting to day-to-day hiring excellence. - Strong interpersonal and stakeholder management skills, a true business partner to hiring teams. - Demonstrated success working in a fast-paced, high-volume hiring environment without compromising on the quality of talent we bring through the door. - You’ll have a deep knowledge of sourcing techniques and channels, and know what it takes to seek out the best talent globally. - Strong reporting and data skills; you’re able to track, analyse, and present key hiring metrics where needed. - Familiarity with employment laws, immigration requirements, and compliance across New Zealand and ideally Australia too. - High emotional intelligence with excellent communication skills; a proactive, solutions-focused self-starter who thrives in ambiguity and takes strong ownership and accountability.   OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other.   JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Dhahran, Saudi Arabia Eram Talent is hiring for one of its most prestigious clients in Saudi Arabia for experienced Rotating Equipment Engineers specializing in Turbine Testing or Pump Testing. The primary responsibility of this role is to plan, execute, and evaluate mechanical, functional, and performance testing of overhauled rotating equipment, with a specialization in either industrial steam turbines or pumps. The role requires strong technical expertise in equipment assembly, testing procedures, instrumentation, vibration analysis, performance evaluation, troubleshooting, and quality assurance to ensure equipment reliability, safety, and compliance with applicable industry standards. Key Responsibilities As the successful candidate, you will be required to perform the following: 1. Test Engineering & Planning Review equipment drawings, technical specifications, overhaul reports, repair scopes, and testing requirements to establish appropriate test procedures, operating conditions, and acceptance criteria. Develop and review test plans, verify test rigs and systems, and ensure the availability and calibration of required instrumentation. Ensure testing activities comply with applicable industry standards, client specifications, quality requirements, and workshop safety procedures. 2. Mechanical, Functional & Performance Testing Execute mechanical, functional, and performance testing of overhauled rotating equipment, specializing in either steam turbines or pumps. For turbine testing, perform slow-roll, uncoupled run, overspeed, trip, governor, trip-and-throttle valve, lubrication, vibration, temperature, and leakage tests, as applicable. For pump testing, conduct hydrostatic, mechanical running, and performance tests, including the evaluation of flow rate, differential head, pressure, power consumption, efficiency, vibration, bearing temperature, and leakage, as applicable. Verify equipment operating conditions, test-system readiness, instrumentation accuracy, safety interlocks, and protective systems before and during testing. 3. Performance Evaluation & Technical Analysis Evaluate test results against approved procedures, manufacturer specifications, contractual requirements, and applicable testing standards. For turbines, assess speed, steam conditions, power output, efficiency, heat rate, valve response, and governor stability, as applicable. For pumps, evaluate head-flow characteristics, efficiency, power requirements, operating curves, and performance against specified duty points and acceptance criteria. Interpret test data, identify performance deviations, and recommend corrective actions to achieve the required operating and acceptance parameters. 4. Diagnostics, Troubleshooting & Root Cause Analysis Diagnose mechanical and performance-related issues, including excessive vibration, bearing problems, shaft misalignment, thermal effects, lubrication issues, abnormal temperatures, leakage, and instability. For turbines, investigate rotor dynamics, steam-path losses, governor malfunctions, trip-system issues, and lubrication-related failures. For pumps, investigate cavitation, hydraulic instability, inadequate flow or head, seal leakage, impeller-related issues, bearing failures, and abnormal operating conditions. Conduct root cause analysis (RCA), recommend corrective and preventive actions, and validate equipment performance through retesting where required. 5. Technical Documentation & Quality Assurance Prepare and review test procedures, inspection records, calibrated-instrument lists, performance curves, certified test reports, deviation reports, and technical recommendations. Document test results, identify non-conformities, and coordinate corrective actions with repair, assembly, inspection, and quality teams. Ensure complete technical documentation and verification of acceptance criteria before recommending equipment release to service. 6. Equipment Assembly & Workshop Support Provide technical guidance on rotating equipment assembly, rotor and shaft inspection, bearing and seal clearances, alignment, and mechanical integrity verification. Support workshop teams in resolving assembly, repair, testing, and performance-related issues. Collaborate with engineering, maintenance, quality, and workshop personnel to improve equipment reliability, testing effectiveness, and compliance with technical requirements. Requirements Bachelor's degree in Mechanical Engineering from a recognized and approved program. At least 15 years of rotating equipment experience, including a minimum of 8 years of relevant hands-on experience in industrial steam turbine or pump repair, overhaul, assembly, diagnostics, or testing. Demonstrated practical experience in either steam turbine testing or pump testing, including mechanical running tests, performance evaluation, troubleshooting, and technical reporting. Strong knowledge of rotating equipment fundamentals, vibration analysis, rotor dynamics, shaft alignment, bearings, seals, lubrication systems, and machinery protection. Experience with mechanical and performance testing instrumentation, including vibration, temperature, pressure, flow, speed, and power measurement systems. Ability to interpret technical drawings, equipment specifications, test procedures, performance curves, and applicable industry standards. Proven capability in root cause analysis, technical problem-solving, performance assessment, and preparation of detailed engineering reports. Preferred Qualifications Relevant OEM training or specialized technical training in steam turbines or pumps. Experience with applicable API standards and other recognized rotating equipment testing standards. Mobius vibration analysis certification, Category II or higher, or equivalent qualification. ICML MLA I or an equivalent lubrication certification. Hands-on experience with workshop test rigs, instrumentation systems, machinery protection systems, and equipment acceptance testing. Experience in industrial, oil and gas, petrochemical, power generation, or other process-industry environments. Specialization: Candidates must have substantial hands-on expertise in either Steam Turbine Testing or Pump Testing .

Location: Dhahran, Saudi Arabia We are seeking a Mechatronics Engineer to join our Facility Maintenance team within Mechanical Services Shops. The team is responsible for maintaining facility infrastructure, industrial machinery, and supporting equipment to ensure safe, reliable, and efficient operations. Your primary role will be to ensure the reliability, maintainability, and safe operation of integrated mechanical, electrical, control, robotic, and automated systems across the facility. You will lead troubleshooting, preventive and predictive maintenance, equipment upgrades, and lifecycle management for facility equipment and production machinery. Key Responsibilities Facility & Equipment Maintenance: Develop and implement maintenance strategies for facility equipment, CNC machines, balancing machines, robots, furnaces, test stands, pumps, compressors, conveyors, drives, sensors, and hydraulic and pneumatic systems. Diagnostics & Root Cause Analysis: Troubleshoot mechanical, electrical, servo, PLC, motion-control, hydraulic, pneumatic, and communication faults using drawings, diagnostic software, measurements, and failure evidence. Preventive Maintenance & Reliability: Establish asset criticality, preventive and predictive maintenance tasks, lubrication, alignment, vibration monitoring, thermography, calibration, spare-parts requirements, and condition-monitoring programs. Modifications & Commissioning: Engineer and validate equipment upgrades, safety circuits, drives, sensors, automation changes, and OEM retrofits through controlled design, testing, and change management. Maintenance Planning & Governance: Maintain CMMS records, maintenance plans, procedures, breakdown reports, KPIs, obsolescence plans, contractor controls, technical documentation, and training for maintenance personnel. Facility Safety & Compliance: Ensure maintenance activities comply with applicable safety regulations, operational procedures, equipment standards, and quality requirements. Minimum Requirements Bachelor’s degree in Mechatronics, Mechanical, Electrical, Automation, or Electromechanical Engineering from a recognized and approved program. At least 12 years of industrial or facility maintenance experience , including a minimum of 7 years supporting CNC machines, balancing machines, or integrated mechatronic systems . Strong hands-on knowledge of machine mechanics, bearings, alignment, hydraulics, pneumatics, motors, drives, servos, PLCs, sensors, robots, and safety interlocks. Experience with OEM diagnostic tools, electrical and mechanical drawings, precision measurement, condition monitoring, and structured root cause analysis. Demonstrated ability to develop preventive maintenance plans, manage critical spare parts, execute equipment upgrades, and support safe commissioning. Preferred Qualifications CMRP or CMRT certification. Siemens or Rockwell automation training. Robotics or CNC-machine OEM training. Vibration analysis or thermography credentials.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We're looking for a Director of Product Design to lead the team behind existing and new products in the Docker portfolio, spanning our GUIs and the CLI. You'll manage the designers and raise the quality of what they ship, and you'll stay close enough to the work to build and critique it yourself, from the first prototype to the details of spacing, states, and copy. You'll work alongside our principal designers, our Director of UX Research, design engineers, engineering leaders, and product leaders to turn technically complex systems into experiences that feel clear to the person using them. You will report to the SVP of Design. This role is remote, with working hours that overlap US and Europe time zones. _______________________________________________________________________ WHAT YOU WILL DO - Lead and grow the product design team. - Set the craft bar expected at each level and hold it through critique and your own work. - Partner with engineering and product from the start of a project, so design and engineering ship together. - Give designers ownership of important problems, with the context and trust to make good calls. - Shape how the team works with AI tools: human judgment leads, and the tools speed up the work. - Work with design engineering and the design system team so the shared system helps teams move faster without limiting new ideas. _______________________________________________________________________ ABOUT YOU You lead people: - You have led a product design team of comparable size through change, and you have grown designers from mid-level through senior and staff. - You have partnered closely with design engineers and engineering leaders, and you can engage with the technical decisions that shape the experience. - You state a clear point of view to engineering and product leaders and stay open to challenge and better ideas. You build: - You still make things. You can prototype, critique a flow at the level of spacing, states, motion, and copy, and show us work from the last year. We will ask to see it. - You use AI tools in your daily work and can show how you use them, including when you step in because the output isn't good enough. - You have designed technically complex products and can turn underlying systems into experiences that feel clear and intuitive. BONUS IF YOU - Have led design for AI-powered or agent products, including experiences beyond a graphical interface. - Have designed for both developer-led adoption and complex enterprise customers. - Can prototype in front-end code, such as React or TypeScript. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $206,500 – $295,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: England; Portugal; Spain; Italy; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.   As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.   The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities. _______________________________________________________________________   RESPONSIBILITIES Build in Production with Customers - Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary. - Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress. - Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling. - Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it. Make AI Adoption Safe and Governable - Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production. - Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience. - Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds - Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control. Partner with Solutions Architecture and the Field - Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary. - Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns. - Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption. Close the Loop with Product and Engineering - As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services. - Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t. - Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap. Shape the Practice - Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners. - Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team. - Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services. - Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________   QUALIFICATIONS Required - 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience. - Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence. - Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews. - Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals. - Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior. - Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD. - Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP). - Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality. - Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority. - Proven track record of technical mentorship and of raising the bar for the engineers around you. - High agency and comfort operating autonomously in distributed, remote-first teams. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Travel to customer sites to build in person with customer teams, estimated at up to 50%. Bonus - Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner. - Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings. - Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors. - Contributions to open source projects in the container, Kubernetes, or MCP ecosystems. - Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Europe: €121K – €198K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Chicago, Greenwich, New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Key Responsibilities Surveillance & Investigations Monitor and review trade and electronic communications surveillance alerts across the firm's global trading activity, including but not limited to on-exchange and OTC markets across equities, fixed income, commodities, FX, futures, options, and digital assets. Analyze large datasets to support investigations, thematic reviews, and surveillance enhancements. Document investigation findings clearly and concisely, maintaining a robust audit trail to regulatory standards. Escalate suspected breaches to senior compliance staff, and support market abuse related inquiries from Exchanges, Regulators, and internal stakeholders. Alert Tuning & Surveillance Development Contribute to the design, development, and testing of new surveillance scenarios and detection models in response to evolving trading strategies, new products, or regulatory guidance. Draft and maintain Business Requirement Documents (BRDs) for new or modified surveillance products. Perform user acceptance testing (UAT) for surveillance system enhancements, new alert configurations, and platform upgrades. Analyze alert performance data and recommend calibration adjustments to improve detection quality Required Qualifications Bachelor's degree in Finance, Economics, and / or STEM field. Minimum 1.5 years of experience in market abuse surveillance. Working knowledge of Python & SQL Advanced Microsoft Excel skills Excellent written and verbal communication skills Preferred Qualifications Working knowledge of one or more US or APAC trade compliance regimes (e.g., DCM Core Principles, Reg NMS, SEC/FINRA market manipulation rules, China Abnormal Trading Rules, Korea Unfair Trade Practices). The annual base salary range for this position is $100,000 to $150,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Project Responsibilities: Design and ship specialist AI agents that use memory, tools, data and multi-step reasoning. Build multi-agent orchestration that routes work between specialist agents, manages dependencies and synthesises conflicting outputs.