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Location: Intellias Meet your recruiter Gerasim Naydenov gerasim.naydenov@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Principal Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Lead Healthcare Data Engineer to join a large-scale digital healthcare initiative focused on building a FHIR-based health data platform and transforming fragmented healthcare data into clean, standardized, and trustworthy information. The role requires both deep hands-on engineering expertise and broad technical influence — establishing reusable frameworks and standards, mentoring experienced engineers, and raising the engineering bar across the team. What project we have for you We’re helping a US digital-health platform get its patients’ medical data in order: lab results, diagnoses, medications, visits and more. The data comes from many different clinics and labs, each with its own format, so right now it’s pretty messy. Our job is to clean up and standardize that data close to the source, bring scattered logic into one place, and see the real data quality every day instead of guessing. Data engineers will work mostly in Databricks/Spark, building pipelines, reference data and quality checks together with the dev team and clinical experts. What you will do Set the technical direction for healthcare data engineering across ingestion, transformation, validation, normalization, and delivery. Own the end-to-end architecture of large-scale distributed data pipelines transforming heterogeneous source data into clean, standards-conformant FHIR. Design and evolve scalable solutions using Python, Spark/PySpark, Databricks/Delta Lake , and modern data-processing technologies. Diagnose and eliminate complex performance and scalability bottlenecks across distributed data workloads. Establish standards and reusable frameworks for data quality, deduplication, patient/record linking, terminology normalization, and reliable idempotent processing . Define architectural patterns for FHIR transformation, validation, schema evolution, and production delivery. Build and evolve automated testing and validation capabilities for data quality and FHIR conformance . Establish engineering patterns and reusable tooling that allow the broader team to deliver new healthcare data capabilities faster and more consistently. Champion PHI-safe engineering practices and ensure healthcare data solutions meet applicable security, privacy, and compliance requirements. Make AI-native engineering a practical part of the team’s development model , using coding agents and reusable AI capabilities to automate repetitive work and accelerate complex engineering tasks. Establish engineering guardrails for AI-assisted development, ensuring AI-generated solutions remain correct, tested, secure, observable, and PHI-safe. Determine where deterministic processing provides better reliability than AI/LLM-based approaches and establish appropriate architectural patterns for both. Mentor Senior and Middle engineers through design reviews, pairing, technical guidance, and knowledge sharing. Drive complex, ambiguous engineering problems from initial investigation through architecture, implementation, and production operation. Collaborate with engineering, product, security, data, and healthcare-domain stakeholders to translate complex interoperability requirements into scalable technical solutions. Represent strong healthcare data engineering practices in relevant architecture, standards, and technical discussions. What you need for this 8+ years of professional experience in data engineering, healthcare data platforms, HealthTech, or healthcare interoperability. Proven Lead-level technical ownership of complex production systems, including the ability to set technical direction and solve problems spanning multiple components and engineering teams. Strong hands-on expertise in Python and production-grade data engineering. Deep experience with Apache Spark/PySpark at scale , including partitioning, performance optimization, memory tuning, and distributed processing. Experience with modern lakehouse technologies such as Databricks and Delta Lake , or comparable platforms. Strong experience designing and operating large-scale ETL/ELT pipelines , including CDC, incremental/delta processing, idempotency, schema evolution, and batch/streaming workloads. Proven experience diagnosing and eliminating complex performance and scalability bottlenecks in distributed data-processing systems. Deep hands-on experience with FHIR R4 , including resources, profiles, Bundles, validation, and large-scale healthcare data transformation. Strong knowledge of US Core, USCDI, HL7 v2.x , and C-CDA-to-FHIR transformation patterns. Strong understanding of healthcare terminology standards including SNOMED CT, LOINC, and RxNorm . Experience working with clinical, claims, coverage, eligibility, or comparable healthcare data models. Strong experience with data quality, deduplication, record/patient linking, terminology normalization, and validation . Strong SQL skills and understanding of data modeling, schema evolution, data quality, and production data architecture. Experience with Git, CI/CD, automated testing, observability, and production operations . Strong understanding of healthcare security, privacy, and regulatory requirements, including HIPAA and PHI-safe engineering practices. Proven ability to establish reusable engineering frameworks, architectural patterns, standards, and data-quality practices adopted by other engineers. Demonstrated technical leadership through architecture/design reviews, mentoring, pairing, and cross-team engineering influence. Practical experience using AI coding agents such as Claude Code or comparable agentic engineering tools as an integral part of the development lifecycle. Strong engineering judgment around when to use AI/LLM-based approaches versus deterministic rule-based solutions , particularly where correctness, cost, performance, or PHI safety are critical. Professional English sufficient for direct collaboration with U.S.-based technical and business stakeholders. Nice to Have Deep experience with large-scale FHIR data modeling and healthcare interoperability platforms . Experience with Master Patient Index (MPI), patient matching, identity resolution , or large-scale record linkage. Experience with payer data exchange, including CARIN Blue Button , Da Vinci implementation guides, or similar standards. Experience working with pharmacy, laboratory, or other specialized healthcare datasets. Knowledge of ICD-10 , CPT, CVX , and additional clinical terminology/code systems. Experience with 21st Century Cures Act, ONC certification, CMS Interoperability Rule , or related U.S. healthcare regulatory frameworks. Experience building LLM/agent-based capabilities for clinical data extraction, normalization, terminology mapping, or healthcare data quality . Experience designing reusable AI skills or agentic workflows adopted across engineering teams. Contributions to open-source healthcare, FHIR/HL7 communities, or relevant industry working groups. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Healthcare Python Spark

Location: Intellias Meet your recruiter Viktoriia Tochylova viktoriia.tochylova@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland, Portugal, Spain Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation. What you will do Lead the ideation, design, and execution of AI proofs-of-concept and end-to-end machine learning systems, from research and experimentation through to scalable production deployment. Develop and implement machine learning and AI systems across domains including Computer Vision, NLP, and Generative AI, solving complex business and product challenges. Collaborate cross-functionally with engineering, product management, and business stakeholders to translate business objectives into scalable AI-driven capabilities and production-ready solutions. Architect and maintain production-grade AI systems across the full lifecycle, including data ingestion, feature engineering, model training, retrieval pipelines, orchestration layers, deployment, evaluation, and monitoring. Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search systems, and multi-agent workflows, selecting appropriate architectures based on performance, latency, cost, and compliance constraints. Design evaluation frameworks for machine learning and generative AI systems, including offline evaluation, human-in-the-loop validation, automated scoring, and production monitoring. Optimize AI systems for scalability, latency, and cost efficiency, including batching, caching, quantization, and model selection strategies. Design and apply advanced mathematical models and statistical methods to analyze large, multi-modal datasets, including time series, classification, regression, and representation learning tasks. Collaborate on AI architecture decisions and contribute to technical roadmap planning, identifying high-impact opportunities for AI adoption across the organization. Mentor and provide technical guidance to junior ML engineers and data scientists, promoting engineering best practices and a culture of continuous learning. Stay current with emerging research, tools, and architectures in AI and machine learning, proactively evaluating and introducing relevant advancements. What you need for this Required skills: 5+ years of hands-on experience in machine learning, AI research, or data science, with a proven track record of delivering production-grade ML solutions. Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field. Strong expertise across core ML disciplines including supervised and unsupervised learning, time series modeling, classification, regression, and model evaluation. Deep hands-on experience developing production systems in Computer Vision, NLP, and Generative AI. Strong experience building LLM-based applications, including RAG pipelines, agentic workflows, semantic search, and tool-using AI systems. Experience designing evaluation frameworks for generative AI systems, including prompt evaluation, hallucination detection, and performance monitoring. Proficiency in Python and modern ML ecosystem including PyTorch, TensorFlow, Hugging Face, NumPy, Pandas, and scikit-learn. Experience with modern LLM orchestration and serving frameworks such as LangChain, LlamaIndex, DSPy, Haystack, or equivalent. Experience deploying and scaling AI systems on cloud platforms (AWS, Azure, or GCP), including managed ML services and containerized deployments. Experience building and maintaining end-to-end ML pipelines, including data processing, model training, deployment, and monitoring. Understanding of responsible AI principles, including bias mitigation, safety guardrails, and governance considerations. Proficiency with version control (Git) and software engineering best practices for collaborative ML development. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Will be a plus: Experience with MLOps tooling and workflows, including MLflow, Apache Airflow, Terraform, and CI/CD pipelines for model deployment. Experience with model serving and inference optimization tools such as vLLM. Experience working with feature stores, real-time data pipelines, or streaming AI systems. Experience with distributed training or large-scale model training frameworks. Experience with multimodal AI systems (vision-language models, audio-text, document AI). Experience with fine-tuning large language models or parameter-efficient training techniques (LoRA, PEFT, etc.). Experience contributing to open-source ML projects or publications in peer-reviewed venues. An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Intellias Meet your recruiter Khrystyna Derpak khrystyna.derpak@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND We are seeking a AI Engineer to transition our AI capabilities from “prototype” to “production.” In this role, you will not just experiment with models; you will architect robust Agentic Systems that can plan, reason, and execute complex workflows autonomously for a wide variety of business user needs while experimenting with cutting-edge models and tools to push the boundaries of what’s possible. The ideal candidate is a forward-thinking engineer who thrives on hands-on experimentation with AI models and frameworks, learns quickly, and is naturally curious. You will collaborate closely with product managers, business partners, and platform teams to deliver high-value AI agents that solve real-world problems across the enterprise. What project we have for you Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 10,000 coworkers. For the trailing twelve months ended September 30, 2020, the company generated Net sales over $18 billion. Broad array of offerings range from hardware and software to integrated IT solutions such as security, cloud, data center and networking What you will do Agentic Engineering & Orchestration Workflow Design: Architect complex, multi-agent workflows using Microsoft AI tech stack. Design, Develop and Deploy agents to handle loops, interruptions, and human-in-the-loop interventions. Tool Use & Function Calling: Build reliable “tool layers” that allow LLMs to safely interact with internal APIs, databases, and third-party SaaS platforms (e.g., SalesForce, Workday, ServiceNow etc.) State Management: Design persistence layers to manage agent memory, conversational history, and context windows efficiently. Advanced Data & RAG Strategy Retrieval Pipelines: Build production-grade data retrieval and integration systems. Optimize vector indexing, document chunking, and re-ranking algorithms to ensure high-precision context retrieval. Data Quality: Collaborate with Data Engineers to curate “Golden Datasets” for agent consumption LLMOps, Evaluation & Quality Automated Evaluation: Build CI/CD pipelines for AI that include “LLM-as-a-Judge” testing. Leverage frameworks to score agent outputs for accuracy, hallucination, and safety before deployment. Observability: Instrument applications with tracing tools to visualize agent reasoning chains, monitor latency, and debug failures in production. Cost Optimization: Monitor token usage and latency, optimizing prompt density and caching strategies to maintain high performance at sustainable costs. Innovation & Collaboration Prototyping to Production: Rapidly validate new ideas using state-of-the-art models, then refactor successful prototypes into maintainable, tested production code. Standards Adoption: Stay ahead of the curve by evaluating emerging technologies to standardize agent connectivity. What you need for this Core Engineering Bachelor’s degree and 5 years of software engineering experience, with exposure to AI/ML applications OR 9 years of software engineering experience, with exposure to AI/ML applications. Programming: Strong hands-on experience with Python for AI/LLM application development. Agentic AI: Hands-on experience designing and building AI agents / Agentic AI solutions. LLM APIs: Experience integrating and working with LLM model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Gemini). AI Specialization 2+ years specifically building with LLMs, with deep familiarity in: Orchestration: LangChain, LangGraph, or similar state-based frameworks. Vector DBs: Pinecone, Weaviate, or pgvector. Prompt Engineering: Advanced techniques (Chain-of-Thought, ReAct, Few-Shot). Production Mindset: Experience not just building demos, but operating them. You know how to handle rate limits, context window overflows, and non-deterministic errors. Soft Skills: Ability to explain “probabilistic software” to non-technical stakeholders—managing expectations that agents are never 100% accurate, but can be 100% useful. Communication: Excellent communication skills, with experience in documenting technical designs, sharing insights, and enabling team knowledge transfer. Nice to Have Microsoft Foundry What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Responsibilities: — Develop and execute the People strategy aligned with business priorities — Advise the CEO, leadership team and investors on organizational design, workforce planning and change management — Lead Talent Acquisition, improve hiring quality and speed, and develop employer branding — Own compensation and benefits, including salary structures, grading, benchmarking and incentive schemes — Manage performance reviews, leadership development and L&D initiatives — Drive employee engagement, culture and employee experience — Oversee international HR operations, payroll, employment compliance and HR systems — Build a lean, scalable HR function using technology and automation — Manage the People budget and track key HR metrics Requirements: — 8+ years of HR experience, including 3+ years leading a People function in a company with 100+ employees — Experience in a scale-up or investor-backed business undergoing change — Strong knowledge of international employment, including remote workers, contractors and EOR — Experience restructuring or improving HR teams and developing team accountability — Strong compensation and reward expertise, including grading, bonuses and retention plans — Knowledge of HR systems and data protection — Commercial mindset and ability to connect People decisions with business results — Fluent English — Nice to have: Experience in e-commerce, consumer brands, retail or marketplaces; M&A integration; experience in Central and Eastern Europe, especially Serbia. Benefits: — Strategic influence as part of the senior leadership team — Hybrid work in Amsterdam or Belgrade with flexible hours — 25 working days of paid vacation plus public holidays — Health and wellbeing benefits — Pension where applicable and an L&D budget — Regular team events

Location: Tokyo Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Japan Head of Legal Engineering is an experienced lawyer-operator who will build and manage a Japan-based team of Legal Engineers and Legal Engineering Product Specialists. They will lead this hybrid team to help Japanese law firms and in-house legal departments integrate Harvey into their day-to-day workflows, driving adoption, measurable value, and long-term expansion. The role sits at the intersection of legal, product, and go-to-market, translating local market needs into concrete product usage and feedback. They will partner closely with global Legal Engineering, Sales, and Customer Success leaders while owning team strategy, execution, and talent development in Japan. This is a rare opportunity to found and scale Harvey’s Japan Legal Engineering organization and shape how AI is adopted across one of the world’s most sophisticated legal markets. What You’ll Do - Build, lead, and develop a high-performing Japan Legal Engineering team, including both Legal Engineers and Legal Engineering Product Specialists, with clear goals, coaching, and career paths. - Design the operating model for Legal Engineering in Japan — coverage model, engagement rhythm, and collaboration patterns with Sales, Customer Success, and Product — to support both pre-sales and post-sales needs. - Ensure your team consistently delivers high-quality discovery, demos, onboarding, and workflow design for Japanese law firms and in-house teams, tailored to local practice areas and bilingual (JP/EN) environments. - Work cross-functionally with global Legal Engineering and Product to translate Japanese customer feedback into roadmap input, feature priorities, and localization requirements. - Own headcount planning, hiring, and onboarding for Legal Engineers and Legal Engineering Product Specialists in Japan, ensuring the right mix of legal expertise, product aptitude, and customer-facing skills. What You Have - Substantial experience practicing law in Japan (or with Japanese clients), with a strong understanding of how leading Japanese firms and in-house teams operate. - Proven experience managing or leading legal, client-facing, or technical-specialist teams, including responsibility for hiring, performance management, and coaching. - Demonstrated ability to build and scale a function or team, ideally in a high-growth, technology, or innovation-oriented environment. - Deep interest in legal technology and AI, with enough product aptitude to guide Legal Engineers and Legal Engineering Product Specialists on demos, workflow design, and customer enablement. - Professional fluency in Japanese and English, with the ability to manage a bilingual team and engage credibly with senior stakeholders in both languages.       DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-GE1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Singapore; Sydney Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are hiring a GTM Enablement Partner to support our APAC region as our first dedicated enablement hire on the ground. This is a net new role sitting within the global GTM Enablement team and mirrors the role our EMEA partner plays in London. Reporting to the Head of GTM Enablement, this person will own the enablement experience for the region end to end: onboarding and ramp for APAC hires, localizing global programs so they land for sellers in Sydney, Singapore and Tokyo, running the region's live enablement cadence, and acting as the single point of contact for APAC GTM leadership. Until now, enablement for APAC has been delivered remotely from the US with in-person trips filling the gaps. The January APAC kickoff in Sydney and the growth of the region change that. The ideal candidate has been the person a region relied on before, is comfortable operating with a high degree of autonomy across time zones, and knows when to decide alone and when to align with the global team. KEY RESPONSIBILITIES - Onboarding and ramp: Deliver live onboarding for every GTM hire in APAC, following the global ramp tracks and certifications owned by the Head of Global Onboarding. Build the APAC onboarding runbook, own the January cohort in Sydney, and make sure Singapore, Tokyo and Bengaluru hires ramp as fast and as well as anyone else. - Landing global programs in region: Every company-level priority (Harvey II selling, the FY27 pricing model, Sales Stages and Command of the Message, new product launches, Legora competitive selling) needs to land the same way in Sydney as it does in New York. You own the APAC version: timing, delivery, localized examples, regional objections and follow-through. - Regional programs and competitive: Identify what APAC needs that the global roadmap does not cover (regional competitive dynamics, security and procurement narratives, in-region customer stories, manager onboarding for new APAC leaders) and build it, routing through global intake so the team stays coordinated. - Kickoffs and cadence: Own regional execution of the January APAC SKO in Sydney and subsequent quarterly kickoffs. Establish and run the ongoing APAC enablement cadence in partnership with the Product Enablement and Programs teams. - Field feedback and stakeholder trust: Be embedded with APAC Sales, CS and Legal Engineering leadership. Bring the region's signal back into Enablement, Product Marketing and Product. Your north star is that APAC leaders feel covered and never need to escalate to the US to get enablement done. - Global collaboration: Work with the EMEA partner and NAMER-based program owners to keep global consistency, and contribute APAC's point of view to global rollouts before they ship. QUALIFICATIONS - 8+ years in GTM enablement, sales training or a customer-facing GTM role, with at least 4 years in enablement. Sales backgrounds preferred. - Experience as a first or early enablement hire in a region or business unit, operating independently and earning trust from regional leaders. - Proven ability to facilitate live training for senior sellers, independently and at a high standard. - Experience adapting global programs for regional markets, and judgment about what to change versus what to hold constant. - Familiarity with a structured sales methodology (MEDDPICC, Command of the Message or similar) and with GTM functions beyond sales (CS, legal engineering, solutions, implementation). - Comfortable operating across time zones with a globally distributed team. - Experience in SaaS, AI or legal technology is a plus; experience enabling teams who sell to law firms or in-house legal teams is a strong plus. Experience across ANZ and Southeast Asia markets preferred. - Based in Sydney, with travel across the region. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-SG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Sydney; Singapore Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are hiring a GTM Enablement Manager to support our EMEA region as our first dedicated enablement hire on the ground. This is a net new role sitting within the broader global GTM Enablement team. Reporting to the GTM Enablement Lead, this person will support the enablement function regionally — including onboarding and training for EMEA reps, localizing content for the region, driving regional GTM programs, and managing stakeholder and field communications. The ideal candidate will work closely with NAMER-based enablement partners to ensure global consistency and contribute to global rollouts. They must be highly collaborative, comfortable working across time zones, and able to operate with autonomy while staying tightly aligned with the global team. KEY RESPONSIBILITIES - Training & Support: Lead local onboarding sessions and create essential training materials that empower EMEA GTM teams with knowledge and skills. - Content Localization: Partner with global enablement and internal teams to adapt and localize GTM collateral and enablement resources for the EMEA market. - Regional GTM Programs: Drive regional enablement programs and field communications that support EMEA revenue goals and rep effectiveness. - Global Collaboration: Work cross-functionally with NAMER-based enablement partners to ensure consistency across global rollouts and integrate product knowledge and sales methodologies (e.g., MEDDPICC) into training. - Foundational Enablement: Develop and centralize enablement content, tools, and resources for the EMEA GTM org. QUALIFICATIONS - 6-8 years of experience in related fields, with at least 4 years in enablement or training roles, or customer facing work. Preferable to sales backgrounds. - Strong communication and facilitation skills, with an adaptable, collaborative approach. - Experience with training design, curriculum creation, and a "roll up your sleeves" mentality. - Familiarity with GTM functions (Sales, Customer Success) and AI or SaaS is a plus. - Experience working in or supporting EMEA markets; familiarity with regional business culture and field dynamics preferred. - Comfortable operating across time zones and working closely with globally distributed teams. ADDITIONAL INFORMATION - Location: Sydney, NSW (Hybrid with flexibility) - Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role WHAT WE OFFER - Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home - Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more. - Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot. - Retirement & Security: Comprehensive coverage designed to support your long-term well-being. - Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents. - Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support. - Professional Development: Annual support for courses, certifications, conferences, and books. - Remote Work Allowance: Monthly support for home office, internet, and phone expenses. - Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-SG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Sydney Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Associate Legal Engineer, you’ll play a critical role in ensuring our law firm and in-house customer users are set up for success. You will deliver tailored training, create education strategies that align with legal workflows, and serve as a trusted guide to customers adopting Harvey across practice groups and legal departments. Your legal training and experience will allow you to connect deeply with our users, helping them to translate their own legal acumen into productive and innovative use of Harvey’s platform. You’ll work across a diverse range of clients, primarily mid-market and enterprise customers, and partner closely with Sales, Customer Success, and Product. This is a high-impact, customer-facing role ideal for someone with a few years of legal practice experience and a passion for shaping the future of legal work. WHAT YOU'LL DO - Deliver engaging and customized product training to attorneys at leading law firms and corporate legal departments - Partner with Account Executives and Customer Success Managers and more senior Legal Engineers to understand client goals to design and deliver enablement sessions that maximize value - Support onboarding, expansion, and renewal efforts by ensuring users are confident and proficient with the platform - Gather feedback from training sessions and pass insights to Product and Engineering teams to inform development - Build scalable training content, including documentation, videos, and quick reference guides tailored to practice areas - Evangelize Harvey internally and externally as a leader in AI-powered legal technology WHAT YOU HAVE - A J.D. and typically 1–3 years of relevant practical experience in legal practice, legal technology or a related role. - Practical experience building agents, prompts or workflows for legal use cases, plus the legal judgment to know when you need guidance. We are interested in what you have built and how you tested and improved it. - Clear communication, curiosity about AI and the ability to become fluent in a product quickly through hands-on use. - An appetite for frequent customer interactions, repeatable delivery and detailed work on useful customer resources. - Strong follow-through and comfort incorporating direct feedback. We welcome candidates from a range of schools, employers and routes into legal work. ADDITIONAL INFORMATION - Location: Sydney, NSW (Hybrid with flexibility) - Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role WHAT WE OFFER - Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home - Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more. - Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot. - Retirement & Security: Comprehensive coverage designed to support your long-term well-being. - Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents. - Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support. - Professional Development: Annual support for courses, certifications, conferences, and books. - Remote Work Allowance: Monthly support for home office, internet, and phone expenses. - Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-EL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Singapore; Sydney Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As Head of Legal Engineering, APAC, you will lead Harvey’s pre-sales and post-sales Legal Engineering organisation across Asia-Pacific, with teams in Sydney, Singapore, Seoul, and Tokyo. You will manage the leaders who run each market, set how we operate across the region, and serve as a senior face of Harvey with the region’s leading law firms and in-house legal teams. This role exists to build a high-performing, commercially impactful APAC legal engineering function that drives pilots, adoption, and expansion with our most important regional customers and prospects. You will partner closely with regional Sales, Customer Success, and Product leadership to shape how we bring Harvey to market across very different legal systems and business cultures. It is a senior manager-of-managers role for someone who is equally comfortable in front of partners and GCs, internal executives, and a distributed team of managers and legal engineers. WHAT YOU WILL DO - Lead, coach, and develop the managers and market leaders who each own their own Legal Engineering teams across APAC, spanning both pre- and post-sales. - Own Legal Engineering performance for the region end to end, from pilot design and quality through conversion, adoption, and expansion. - Build and scale the APAC Legal Engineering organization as we enter new markets and deepen existing relationships. - Build and maintain relationships with senior stakeholders at the region’s top law firms and legal teams, and represent Harvey at key industry and client events. - Partner closely with regional Sales, Customer Success, and Product leadership to set priorities, shape our go-to-market approach, and adapt our playbooks to each market. - Establish regional operating rhythms (forecasting, QBRs, pipeline and adoption reviews) that your managers use to run their businesses and continuously raise the bar on quality and impact. WHAT YOU WILL BRING - A legal qualification and extensive senior experience (typically 12+ years) at a leading law firm, in-house team, or legal technology company. - Proven experience leading people managers and multi-country teams, with a track record of building and scaling high-performing organizations. - Credibility with senior stakeholders in the APAC legal community, including partners, GCs, and C‑suite leaders. - Hands-on leadership of a legal technology or AI rollout, ideally across multiple jurisdictions or business units. - Strong commercial acumen and familiarity with complex, high-touch B2B sales or pre-sales motions. - Comfort operating in a fast-paced, high-growth environment, with the judgment to balance commercial, product, and legal considerations at a regional level. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-GE1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Sydney; Singapore Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As Head of Legal Engineering, APAC, you will lead Harvey’s pre-sales and post-sales Legal Engineering organisation across Asia-Pacific, with teams in Sydney, Singapore, Seoul, and Tokyo. You will manage the leaders who run each market, set how we operate across the region, and serve as a senior face of Harvey with the region’s leading law firms and in-house legal teams. This role exists to build a high-performing, commercially impactful APAC legal engineering function that drives pilots, adoption, and expansion with our most important regional customers and prospects. You will partner closely with regional Sales, Customer Success, and Product leadership to shape how we bring Harvey to market across very different legal systems and business cultures. It is a senior manager-of-managers role for someone who is equally comfortable in front of partners and GCs, internal executives, and a distributed team of managers and legal engineers. WHAT YOU WILL DO - Lead, coach, and develop the managers and market leaders who each own their own Legal Engineering teams across APAC, spanning both pre- and post-sales. - Own Legal Engineering performance for the region end to end, from pilot design and quality through conversion, adoption, and expansion. - Build and scale the APAC Legal Engineering organization as we enter new markets and deepen existing relationships. - Build and maintain relationships with senior stakeholders at the region’s top law firms and legal teams, and represent Harvey at key industry and client events. - Partner closely with regional Sales, Customer Success, and Product leadership to set priorities, shape our go-to-market approach, and adapt our playbooks to each market. - Establish regional operating rhythms (forecasting, QBRs, pipeline and adoption reviews) that your managers use to run their businesses and continuously raise the bar on quality and impact. WHAT YOU WILL BRING - A legal qualification and extensive senior experience (typically 12+ years) at a leading law firm, in-house team, or legal technology company. - Proven experience leading people managers and multi-country teams, with a track record of building and scaling high-performing organizations. - Credibility with senior stakeholders in the APAC legal community, including partners, GCs, and C‑suite leaders. - Hands-on leadership of a legal technology or AI rollout, ideally across multiple jurisdictions or business units. - Strong commercial acumen and familiarity with complex, high-touch B2B sales or pre-sales motions. - Comfort operating in a fast-paced, high-growth environment, with the judgment to balance commercial, product, and legal considerations at a regional level. ADDITIONAL INFORMATION - Location: Sydney, NSW (Hybrid with flexibility) - Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role WHAT WE OFFER - Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home - Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more. - Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot. - Retirement & Security: Comprehensive coverage designed to support your long-term well-being. - Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents. - Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support. - Professional Development: Annual support for courses, certifications, conferences, and books. - Remote Work Allowance: Monthly support for home office, internet, and phone expenses. - Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-GE1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote, Israel; Remote, Poland; Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Threat Research Engineer, you’ll take ideas from the first question to a working proof of concept, deploy it, and analyze the results yourself. This is a full-stack role, with AI central to how we work. You’ll build agentic workflows for research, analysis, and detection, and use AI tools every day to move faster. What you’ll do Research new attack surfaces and threat vectors, including AI coding agents, agent plugins, and package ecosystems. Find and responsibly disclose vulnerabilities in open source projects and developer tools. Analyze software supply chain incidents and events. Build AI-powered workflows and agents that automate research, analysis, and detection. Build and maintain the cloud-based systems behind our detection and advisory work. Improve the quality and coverage of our vulnerability and malware advisories. Write up your findings as blog posts and present them at conferences. Take part in on-call or operational support where your team's ownership model requires it. What you’ll bring Hands-on security experience in research, malware analysis, penetration testing, or security tooling, with both a developer mindset and an adversarial mindset: you can build systems and think about how to break them. Demonstrated experience using AI in real work, such as building with large language model APIs or agent frameworks like LangChain, LangGraph, or agent SDKs. Strong programming skills in Go or Python, with good software engineering practices including testing, code review, continuous integration and continuous delivery, and maintainable code. Experience deploying and running production services on a public cloud. Understanding of how package ecosystems work and how software supply chain attacks happen. Ability to map possible attack vectors, name trade-offs, and make data-driven decisions, balancing quality and speed with customer outcomes in mind while keeping up with security and AI industry trends. Clear writing that explains findings to both engineers and a general audience. Helpful, but not required: published vulnerability findings; security research on AI agents, large language model applications, or Model Context Protocol (MCP) servers; Google Cloud Platform experience; or infrastructure as code experience with Terraform or OpenTofu. You don’t need deep knowledge of compilers or static application security testing engines. A high-level understanding is enough. About the team The Threat Research group researches security threats as they emerge and turns what we learn into protection for GitLab customers. We maintain the GitLab Advisory Database, which powers GitLab’s dependency scanning. We also build detection capabilities, do original vulnerability research, and publish what we find. Recent work includes the Shai-Hulud npm worm and a critical remote code execution vulnerability in Serena, a popular MCP coding agent. You can read more on the Security Labs blog . The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. Poland base salary range: 272,000 - 408,000 PLN How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Tokyo Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Enterprise Customer Success Manager joins Harvey's Customer Success team as the strategic partner for enterprise clients in Japan. Harvey is opening a Tokyo office in early 2027 and already works with leading Japanese firms, including Mori Hamada & Matsumoto, Nagashima Ohno & Tsunematsu and Mitsubishi Corporation. The team's mission is to drive deep product adoption, deliver measurable business outcomes and build lasting relationships with legal and professional services organizations deploying Harvey's AI platform. This role owns the end-to-end post-sales experience for a portfolio of high-value enterprise accounts, from onboarding through renewal and expansion, and partners with Sales, Product and Legal Engineering to turn customer needs into product value. Japanese customers are currently supported by the APAC Customer Success team from Sydney (TBC: scope of the Japan book and handover). This is a founding in-market role, so the person will help shape how Harvey runs customer success in Japan. WHAT YOU'LL DO - Own strategic account management for a portfolio of enterprise clients in Japan, driving adoption, retention and expansion. - Lead onboarding and implementation for new enterprise deployments, managing multi-stakeholder initiatives from scoping through go-live. - Build and run success plans based on usage data, customer health and business objectives to reduce churn risk and find growth. - Act as a trusted advisor on Harvey's AI capabilities through training, executive business reviews and workshops tailored to legal workflows, in Japanese and English. - Work with Sales, Product and Legal Engineering to bring customer feedback into roadmap priorities and align on shared account goals. - Develop scalable playbooks for the Japan customer success motion and contribute to the growth of Harvey's regional operations. WHAT YOU HAVE - At least 5 years in customer success, account management or strategic consulting within enterprise SaaS or technology, as a CSM with real account ownership. - Enterprise experience. Backgrounds limited to SMB or mid-market do not translate to major accounts. - Experience managing complex enterprise accounts with multiple stakeholders, including senior legal and executive leadership. - Strong analytical skills with customer health data, product usage metrics and business KPIs. - Executive presence and storytelling that hold a room, with the ability to influence technical and non-technical audiences. - Native-level Japanese and strong business English. - Experience with legal, professional services or regulated clients, or with AI and LLM products (preferred). - Based in Tokyo, with the ability to travel within APAC as needed. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-GW1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Belgrade, Serbia; Krakow, Poland; Lodz, Poland; Lublin, Poland; Remote.PL, Poland; Warsaw, Poland; Wroclaw, Poland We are looking for a Full Stack Developer with strong experience in Java and React to contribute to the development of an enterprise reporting and analytics platform. You will work on a mature product used by a large global customer base, helping deliver new functionality, improve performance, troubleshoot complex issues, and maintain high quality standards across the application stack. The project focuses on building enterprise grade solutions that provide advanced reporting, data visualization, and analytics capabilities integrated with widely used collaboration and work management platforms. The product serves a large global user base and continues to evolve with new features aimed at improving productivity, decision making, and user experience. Develop and maintain backend functionality using Java, Spring, and REST APIs Enhance and support frontend applications built with React and TypeScript Work with relational databases to implement features, troubleshoot data issues, and optimize query performance Investigate and resolve complex production issues by identifying root causes and implementing long term solutions Collaborate with product, support, and engineering teams to deliver new functionality and product improvements Maintain and extend existing framework based codebases while ensuring stability, performance, and maintainability Create and maintain automated tests to support product quality and reliability Participate in code reviews and contribute to engineering best practices Support CI/CD processes and contribute to code quality and security initiatives Prepare and maintain technical documentation related to features and system behavior 3+ years of relevant full stack work experience Solid backend experience with Java and the Spring ecosystem, including dependency injection and REST controllers; comfortable reading and safely modifying an existing framework based codebase rather than working only on greenfield projects Good command of relational databases and SQL, with the ability to troubleshoot data correctness and query performance issues; experience with multiple database vendors such as PostgreSQL, MySQL, Oracle, and Microsoft SQL Server is a plus Practical experience maintaining production UIs with React (Hooks and component composition) and TypeScript in a strongly typed codebase Familiarity with state management solutions such as Redux, Redux Toolkit, MobX, or similar technologies and modern frontend build tools such as Vite or Webpack Good understanding of object oriented programming principles, common design patterns, and automated testing Highly analytical, with a genuine passion for debugging. Reproducing difficult to replicate issues and identifying their root causes is a core part of this role A strong sense of ownership, with the ability to work autonomously, take on unfamiliar areas, manage support tickets, and drive issues through to resolution Good communication skills in English (B2 Upper Intermediate or higher). You will work with international colleagues and handle customer and support requests both in writing and during meetings Experience developing or maintaining Atlassian Data Center applications (P2 Plugins, Atlassian Plugin SDK, Spring Scanner, Marketplace applications), or a strong willingness to learn the platform Recent experience with Kotlin Experience supporting a customer facing product and working directly with customer and support requests Familiarity with BI and analytics tools or the OData protocol Experience with performance profiling and optimization of large datasets Awareness of secure coding practices, including input validation, injection prevention, SSRF mitigation, dependency management, and CVE remediation Awareness of Atlassian Cloud and cloud migration paths, for example JCMA, for Data Center applications

Location: Ukraine; Poland; Romania; Spain; Portugal; Croatia At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. We are looking for a Senior ML & AI Engineer to join us as part of our team. About the role PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team 1 EM, 6 ML Engineers Work Environment The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. As a qualified expert, You will Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges. Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis. Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights. Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing. Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems. Collaborate & Communicate : Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively. Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources. We’re looking for you if you have Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field. Experience: You bring 5+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems. Technical Expertise: Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other. Experienced in natural language processing and modern LLM based techniques. Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques Skilled with SQL and data extraction methods. Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI. Collaborator & Communicator: You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders. Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have. Languages: English —Upper-Intermediate or higher; Ukrainian —fluent/native . What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps Interview with the recruiter Technical interview (up to 90 min) System Design interview (up to 45 min) Behavioral Round with Product Manager (45 min) Final interview with Engineering Manager (30 min)

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Scaled Customer Success Manager joins Harvey's Scaled Customer Success team to drive retention, renewal, and expansion outcomes across a high-volume book of business. The team's mission is to deliver strategic, efficient value at scale—ensuring customers adopt Harvey's AI solutions deeply and renew with confidence. This role owns the full commercial lifecycle for a portfolio of accounts, blending consultative customer engagement with a data-driven renewals motion to maximize net revenue retention. Scaled CSMs partners closely with Sales, Legal Engineering, and Product to translate customer feedback into roadmap influence and expansion opportunity. It is a rare opportunity to shape a growing function at the intersection of AI innovation and customer value delivery. WHAT YOU'LL DO - Own renewals and expansions across a named portfolio of accounts, driving net revenue retention and gross retention targets through proactive commercial engagement. - Lead scaled customer engagement motions—including QBRs, value reviews, and enablement sessions—to maximize product adoption and demonstrate ongoing ROI. - Monitor customer health using data and analytics, identifying churn signals early and executing structured intervention plans to protect and grow revenue. - Serve as a trusted advisor to customers with a prescriptive, consultative approach, integrating Harvey into their workflows and championing the power of LLMs. - Collaborate cross-functionally with Legal Engineering, Product, and Sales to relay customer insights, influence the product roadmap, and align on shared goals. - Build and refine scalable playbooks and processes that elevate the team's approach to customer engagement, renewals, and expansion. WHAT YOU HAVE - 3+ years of experience in Customer Success, Account Management, or a renewals-focused role within Enterprise SaaS, legal technology, or management consulting. - Demonstrated track record of managing a high-volume book of business and consistently meeting or exceeding retention and expansion targets. - Strong commercial acumen with experience owning renewals conversations and identifying upsell or expansion opportunities within existing accounts. - Excellent communication and strategic planning skills, with the ability to engage stakeholders at multiple levels and deliver polished QBRs and value reviews. - Data-driven mindset with experience leveraging customer health metrics, adoption data, and CS platforms to inform strategy. - Collaborative, proactive disposition with a team-first mentality and comfort operating in a fast-paced, ambiguity-rich environment. COMPENSATION $115,000 - $130,000 USD OTE 80/20 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-BS1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. The STEM Horizontal team produces the high-signal coding and STEM data frontier labs train on. We're looking for a Research Engineering Manager to lead the research engineering behind its next layer: synthetic data that measurably improves models, and new benchmarks that measure what today's evals miss. You'll lead a team of research engineers, work side by side with research scientists, and stay close enough to the code to review an eval harness line by line or prototype a generator yourself when the team needs it. You'll also build the team : hiring research engineers is a core part of this role, not a side task. Ideally you've been on the other side, at a frontier lab, and know what makes a lab trust a dataset or a benchmark result. Synthetic data that earns its place. Generation, verification, and filtering pipelines where every sample is checked, and where we can show which properties of the data drive downstream gains, not just how much of it we made. Benchmarks that stay meaningful. New evaluations for capabilities current benchmarks miss, built with calibrated difficulty, contamination controls, and statistics strong enough that a lab can make a decision on the result. Quality failures here are quiet. A subtle bug in a verifier doesn't crash anything; it ships thousands of wrong labels into someone's training run and costs weeks. If you want to build the team and the systems that catch that early, this is the seat. What You'll Do 1. Build and Lead the Team Build the team: define the profiles you need, run hiring, and grow research engineers selected for research taste as much as engineering rigor. Run the team's operating rhythm: project selection, planning, experiment reviews, design docs, and clear ownership. Coach engineers on experimental design, code quality, and presenting results; give direct, regular feedback and run fair performance cycles. Define the standards the team works to: eval methodology, data quality bars, and reproducibility — every dataset and result can be regenerated from a commit, a config, and a seed. 2. Partner with Research Scientists Turn hypotheses into experiment plans together: what we're testing, the baseline, the ablations, and the result that would change our minds. Set the agenda with research scientists. You're expected to bring your own hypotheses, not only implement theirs. Take research prototypes to production scale without losing the scientific intent. 3. Build Synthetic Data Systems at Scale Own synthetic data pipelines that generate, verify, filter, deduplicate, and version data, combining programmatic generators, LLM-based generation, automated verifiers, and targeted expert review. Judge data by its effect on models : ablations and fine-tuning or RL experiments that show which attributes (difficulty, diversity, correctness, coverage) drive gains. Build quality systems that hold up at volume: gold sets, LLM-judge calibration against expert labels, sampling audits, and agreement metrics. 4. Create New Benchmarks and Evaluations Find where frontier models fail and where existing benchmarks have saturated, and design evaluations that measure what's missing . Own benchmark methodology end to end: task taxonomy, difficulty calibration, graders and verifiers, contamination controls, held-out splits, and confidence intervals. Ship eval harnesses , including agentic and sandboxed-execution evals, that are deterministic, reproducible, and trusted by internal teams and partner labs. Make the call on whether a result holds up: partner labs and internal teams act on your sign-off. Publish benchmarks, datasets, and findings with our research scientists at venues such as NeurIPS, ICML, and ICLR. 5. Stay Hands-On and Work with Frontier Labs Write code every week on the hardest, highest-leverage parts: core verifier logic, eval statistics, the pipeline component everything else depends on. Expect a third or more of your time on direct technical work. Be the person the team brings its hardest debugging and methodology questions to: why a judge disagrees with experts, why an eval number moved, whether a gain is real or noise. Act as a technical counterpart to researchers at frontier AI labs: scope requests, set acceptance criteria, and explain results and trade-offs plainly. Partner with Strategic Project Leads, delivery, and engineering teams so research advances land in client work and in the platforms the team builds. Sample Projects Identify a capability gap, design and ship a benchmark for it, and see it adopted by partner labs. Stand up a synthetic data pipeline for long-horizon coding tasks with execution-based verifiers, and run the ablations that show which task properties drive RL gains. Calibrate an LLM-judge grading system against expert labels, map where it fails, and decide where humans stay in the loop. Design the experiment that tells a partner lab whether a two-point gain on their eval is real. Decide which of three competing synthetic data approaches the team should bet on, and design the experiments that settle it. Tech Stack Research: Python · PyTorch or JAX · SFT · DPO · PPO / GRPO · RL with verifiable rewards Evals & data: LLM-as-judge · programmatic verifiers · sandboxed execution · gold sets · contamination checks Platform: Python services (Django / FastAPI) · PostgreSQL · Docker · Terraform · AWS or GCP What We're Looking For Experience: 8+ years of hands-on ML or research engineering, at least 5 in industry, including 3+ years directly managing research engineers, ML engineers, or researchers (hiring and performance management included). Synthetic data at scale: you've owned synthetic or curated data pipelines in production whose output drove training decisions , and can show how you measured their quality and downstream impact. Evaluation rigor: you've designed and shipped LLM evals or benchmarks that others used to make model decisions, and understand contamination, saturation, judge bias, inter-annotator agreement, variance, and confidence intervals. Experimental judgment: you plan ablations up front, choose baselines honestly, and can tell a real effect from noise. Technical depth: strong Python; production experience with PyTorch or JAX; working knowledge of the post-training stack (SFT, DPO, PPO/GRPO, RL with verifiable rewards). Technical direction: a track record of setting direction for a team, not only executing a roadmap handed to you. Scale: distributed data processing and large evaluation or training jobs (e.g., Ray, Spark, Kubernetes) on AWS or GCP. Communication: clear written communication for scientists and non-specialists alike; comfortable presenting results to researchers at partner labs. AI-forward: daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you ship, with the judgment to review their output critically. This is a must-have. Education: PhD or Master's degree in AI, machine learning, computer science, statistics, or a closely related field; PhD preferred. Exceptional equivalent research experience will also be considered. We weigh industry outcomes most heavily. Strongly Preferred Frontier AI lab experience: post-training data, evals, or reward modeling at a frontier lab (e.g., OpenAI, Anthropic, Google DeepMind, Meta, xAI) or a top industry research group. Built or contributed to a public benchmark or dataset the community uses. Nice to Have First-author papers at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar. RL environment and verifier design for agentic tasks: coding agents, tool use, computer use, long-horizon workflows. Data valuation or attribution: measuring what each slice of data contributes to a model. Depth in a STEM domain such as math, physics, chemistry, or biology (not required). Experience managing tech leads or managers, or running several concurrent programs. Directing large expert networks through specs, rubrics, and fast feedback loops. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training, evaluation, and synthetic data. Build the datasets and benchmarks that improve and measure the capabilities of advanced AI systems. Shape how frontier labs measure progress on coding and STEM reasoning. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation $260,000 to $350,000 + Equity Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive, and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Arizona - Remote; Arkansas - Remote; Kansas - Remote; Missouri - Remote; Oklahoma - Remote; Texas - Remote Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Olsson is seeking a Senior Engineer on our Federal Engineering and Design Team. In this role, you’ll help shape critical infrastructure projects that support military bases, VA campuses, and other essential government facilities. You’ll be part of a high-performing, collaborative team delivering innovative civil engineering solutions that meet rigorous federal standards and exceed client expectations. Acting as lead design engineer, you will spearhead some of the firm’s most demanding projects. Responsibilities include preparing planning and design documents, performing design calculations, developing and maintaining team and client standards, and overseeing quality assurance/quality control efforts. You’ll also advise on complex technical challenges and coordinate closely with Olsson teams, clients, and consultants throughout the project lifecycle. This position may involve travel to job sites for observation and client meetings and offers the opportunity to contribute meaningfully to Olsson’s growing federal portfolio. Key Responsibilities Oversee and guide complex civil design efforts for federal projects, including grading, drainage, utilities, and site layout, ensuring technical excellence and regulatory compliance. Serve as technical lead or project manager on high-profile federal assignments, driving scope, schedule, and budget alignment across multidisciplinary teams. Review and approve planning documents, design calculations, and technical specifications, ensuring consistency with federal standards such as UFC, DoD, and VA requirements. Mentor and support junior engineers, fostering technical growth and promoting best practices in design, documentation, and client engagement. Lead quality assurance/quality control (QA/QC) processes, providing strategic oversight and resolving complex design challenges. Coordinate with internal teams, clients, and external consultants, ensuring seamless communication and integrated project delivery. Contribute to strategic proposal development, shaping winning responses to federal RFPs and expanding Olsson’s federal portfolio. Represent Olsson in client meetings and site visits, offering expert guidance from concept through construction and ensuring client satisfaction. Preferred Qualifications Bachelor’s or Master’s degree in Civil Engineering. Professional Engineer (PE) license is required. Minimum 8 years of experience in civil/site design, ideally with federal clients. Proficiency in Civil 3D and other relevant design software. Deep understanding of DoD, VA, and federal design standards and processes. Exceptional communication skills and proven ability to coordinate complex projects. Why Join Us Contribute to projects that serve national interests and make a difference in communities. Flexible work arrangements, including remote options. Enjoy flexible work arrangements, including remote options, to support your work-life balance. Thrive in a supportive culture that values professional development and teamwork. At Olsson, your expertise drives progress on projects that matter. If you’re passionate about federal civil engineering and ready to elevate your career, we want to hear from you. #LI-HO1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Arizona - Remote; Kansas - Remote; Missouri - Remote; Nebraska - Remote; Oklahoma City, OK; Texas - Remote Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description We are seeking an Associate Engineer to join our Federal Engineering and Design Team. In this role, you will assist with the design efforts for federal projects, including grading, drainage, utilities, and site layout. You will coordinate with experienced engineers and designers, gaining exposure to federal standards such as UFC, DoD, and VA requirements, and enhance your skills in design and modeling software. This position offers hands-on experience and the chance to contribute meaningful work to Olsson’s federal portfolio. Key responsibilities: Provide small-scale design elements for federal engineering projects using standard techniques and established methods. Perform basic plan production and technical tasks under the guidance of senior engineers. Develop and apply knowledge and experience in designing and modeling software for engineering solutions. Assist with project schedules, engineering calculations, and preparation of construction documents. Gather research, recommend solutions, and create drafts of technical reports. Gain experience with creating and maintaining project and client information within the firm’s project management system. May travel and work in various terrains and weather conditions at project sites in different stages of construction. Why join us: Contribute to projects that serve national interests and make a difference in communities. Enjoy flexible work arrangements, including remote options, to support your work-life balance. Thrive in a supportive culture that values professional development and teamwork. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. Preferred qualifications: A minimum of one year of engineering experience. Bachelor’s degree in civil engineering or a related engineering field. Possesses Engineer-In-Training (EIT) certification. Working knowledge (or ability to become proficient) in relevant technologies (e.g., Civil 3D). Strong communication skills. Ability to contribute and work well with a team. Excellent interpersonal and problem-solving skills. Willingness to travel and work in field conditions as needed. Solid interpersonal, problem-solving, and decision-making skills. At Olsson, your expertise drives progress on projects that matter. If you’re passionate about federal civil engineering and ready to elevate your career, we want to hear from you. #LI-HO1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .