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Location: San Francisco 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.   FUNCTION OVERVIEW Harvey's Legal Engineering team is composed of former practicing attorneys who work to bring value to Harvey's prospects and customers. Legal Engineers lead discovery, demos, trainings, and onboarding alongside our AEs and CSMs. They translate real legal work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.   At Harvey, we segment the Legal Engineering function into three teams: Legal Engineers (Pre-Sales), Legal Engineers, Product Specialists (Post-Sales), and Legal Engineers, Custom Solutions (Pre- and Post-Sales). Legal Engineers across all three subgroups understand how lawyers think and work, and use that expertise to design, build, and refine solutions that hold up under live in-practice pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what the legal profession needs. It's a team built to power Harvey as the platform lawyers can trust with their most important work.   You may be asked to travel around 2-3+ times per month. Travel is always for a significant business need and typically is for 1-3 days at a time.   WHAT YOU'LL DO Legal Engineer (Pre-Sales) Legal Engineers are lawyers who left practice to help build the future of legal work. Working closely with Account Executives, they engage with many of the world’s leading law firms and legal teams throughout the pre-sales process. They lead collaborative pilot programs, guide prospects through what’s possible with AI, and work alongside lawyers to understand their workflows, build tailored solutions, and demonstrate meaningful value in real legal use cases. Along the way, they bring prospect feedback back into the product, helping shape the future of Harvey.   Legal Engineer, Product Specialist (Post-Sales) LEPS take over once a prospect becomes a customer. LEPS build trusted relationships with many of the world's leading legal teams by learning their workflows and showing them how to weave Harvey into daily practice. The LEPS role spans the entire customer journey, from leading onboarding and enablement, to sitting down with a full practice group to build agents on real matters. Along the way, the LEPS translates legal practice needs into actionable feedback for product and engineering, contributes to customer-facing content across practice areas, and upholds Harvey's credibility as the leading AI platform for lawyers.   Legal Engineer, Custom Solutions (Pre-Sale and Post-Sale) LECS are a specialist group that work on complex no-code custom Harvey in-app solutions. LECS meet with group heads, general counsel, and other senior stakeholders to learn how key processes run today. Drawing on their legal expertise, they use natural language prompting to design bespoke resources, including agents, playbooks, and other tools, that improve the quality, speed, and experience of that process. The build is collaborative. The LECS scope it with the customer, prototype against sample documents, and refine it alongside their team. Most LECS work happens post-sale, but the team also supports strategic accounts pre-sale on an advisory basis. LECS concentrates narrowly on designing tools that automate a specific process, and on building relationships with the senior leaders who own it.   *In your initial interview with our recruiting team, you'll learn more about all three roles, and we'll identify which may be the best fit based on your background and our current hiring needs.   WHAT YOU HAVE - JD or equivalent legal qualification. - 3 + years of practicing law in-house, at a top-tier law firm, or advising a sophisticated corporate legal team. - Strong understanding of the workflows, challenges, and demands of law firms, including balancing legal risk with business priorities. - Executive presence and relationship-building skills, with the ability to establish credibility with legal and business stakeholders at all levels. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or engaging in strategic customer conversations. - Deep curiosity about AI's potential to transform legal work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Cross-functional experience (business, ops, compliance, product), sales/customer-facing experience (law firm BD, secondment), and/or hands-on experience using AI tools in legal practice are all pluses.   COMPENSATION $220,000 - $320,000 USD OTE 75/25 split   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LS1 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: 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.   FUNCTION OVERVIEW Harvey's Legal Engineering team is composed of former practicing attorneys who work to bring value to Harvey's prospects and customers. Legal Engineers lead discovery, demos, trainings, and onboarding alongside our AEs and CSMs. They translate real legal work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.   At Harvey, we segment the Legal Engineering function into three teams: Legal Engineers (Pre-Sales), Legal Engineers, Product Specialists (Post-Sales), and Legal Engineers, Custom Solutions (Pre- and Post-Sales). Legal Engineers across all three subgroups understand how lawyers think and work, and use that expertise to design, build, and refine solutions that hold up under live in-practice pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what the legal profession needs. It's a team built to power Harvey as the platform lawyers can trust with their most important work.   You may be asked to travel around 2-3+ times per month. Travel is always for a significant business need and typically is for 1-3 days at a time.   WHAT YOU'LL DO Legal Engineer (Pre-Sales) Legal Engineers are lawyers who left practice to help build the future of legal work. Working closely with Account Executives, they engage with many of the world’s leading law firms and legal teams throughout the pre-sales process. They lead collaborative pilot programs, guide prospects through what’s possible with AI, and work alongside lawyers to understand their workflows, build tailored solutions, and demonstrate meaningful value in real legal use cases. Along the way, they bring prospect feedback back into the product, helping shape the future of Harvey.   Legal Engineer, Product Specialist (Post-Sales) LEPS take over once a prospect becomes a customer. LEPS build trusted relationships with many of the world's leading legal teams by learning their workflows and showing them how to weave Harvey into daily practice. The LEPS role spans the entire customer journey, from leading onboarding and enablement, to sitting down with a full practice group to build agents on real matters. Along the way, the LEPS translates legal practice needs into actionable feedback for product and engineering, contributes to customer-facing content across practice areas, and upholds Harvey's credibility as the leading AI platform for lawyers.   Legal Engineer, Custom Solutions (Pre-Sale and Post-Sale) LECS are a specialist group that work on complex no-code custom Harvey in-app solutions. LECS meet with group heads, general counsel, and other senior stakeholders to learn how key processes run today. Drawing on their legal expertise, they use natural language prompting to design bespoke resources, including agents, playbooks, and other tools, that improve the quality, speed, and experience of that process. The build is collaborative. The LECS scope it with the customer, prototype against sample documents, and refine it alongside their team. Most LECS work happens post-sale, but the team also supports strategic accounts pre-sale on an advisory basis. LECS concentrates narrowly on designing tools that automate a specific process, and on building relationships with the senior leaders who own it.   *In your initial interview with our recruiting team, you'll learn more about all three roles, and we'll identify which may be the best fit based on your background and our current hiring needs.   WHAT YOU HAVE - JD or equivalent legal qualification. - 3 + years of practicing law in-house, at a top-tier law firm, or advising a sophisticated corporate legal team. - Strong understanding of the workflows, challenges, and demands of law firms, including balancing legal risk with business priorities. - Executive presence and relationship-building skills, with the ability to establish credibility with legal and business stakeholders at all levels. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or engaging in strategic customer conversations. - Deep curiosity about AI's potential to transform legal work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Cross-functional experience (business, ops, compliance, product), sales/customer-facing experience (law firm BD, secondment), and/or hands-on experience using AI tools in legal practice are all pluses.   COMPENSATION $220,000 - $320,000 USD OTE 75/25 split   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LS1 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

О проекте Мы — команда, которая развивает продукт Platform V GraDeLy, ключевой игрок в области логической репликации данных с захватом изменений на уровне базы данных. Наша миссия — обеспечить клиентам надежный и эффективный доступ к функционалу Platform V GraDeLy, сопровождая его полным циклом поставки: от приемки до тестирования, внедрения и поддержки. Мы гарантируем стабильность работы продукта и непрерывное развитие функционала, закрывая ключевые потребности бизнеса. Что мы делаем? Принимаем и тиражируем продукт для клиентов. Тестируем и обеспечиваем надежность решений. Развиваем продукт, делая его удобным и эффективным для пользователей. Мы стремимся к тому, чтобы клиенты получали технологичные и удобные инструменты, а их разработчики — максимально простые и эффективные способы интеграции.

Location: Canggu, Indonesia The Company Our client creates sustainable fashion that honours and empowers the diverse female form. They craft timeless designs with intention and care, using eco-friendly materials and ethical production practices. Their philosophy, "Buy Less, Choose Well, Make it Last," underpins their slow fashion approach. Our client is a consciously crafted clothing brand with roots in Torquay, Australia, and a heart in Bali, where each piece is ethically made. Rooted in sustainability, ethical production, and mindful living, they create timeless, versatile clothing designed for movement and everyday wear. Their collections embrace natural fibres, earthy tones, and effortless silhouettes that honour both the wearer and the world around them. At our client, their foundation is Connection—to their community, to the Earth, and to the self. They are a place where women feel inspired, seen, and understood, and can reconnect with nature and their own right to be soft and live fully. Every decision they make is rooted in deep intention. The Role The Garment Technician & Pattern Maker is a key role within our client's Design team. Your mission is to own the product development process end to end — from initial sketch through to final, production-ready sample — bringing complete mastery of garment construction, pattern making, and sample development management. Working closely with the Design & Development Lead and the wider Design team, you will be the technical backbone of the development team — leading fitting sessions, pattern making and grading, technical documentation, and manufacturer coordination across all stages. You will play a key role in improving fit consistency, product quality, and communication with manufacturers. This role is ideal for someone who is highly detail-oriented, technically minded, and passionate about garment construction, fit, and product development within a purpose-driven and sustainable brand. Location: Canggu, Bali Employment Type: Full-time / On-site Reports to: Head of Design Creative Reporting Line: Co-Founders (Final creative sign-off) Key Responsibilities Technical Development & Garment Construction Own sample development independently, start to end, from sketch to final sample. Create and/or oversee pattern making with a full understanding of garment construction. Critically analyse fit comments and translate feedback into clear, technical action points. Diagnose construction or fit issues and propose durable technical solutions, not just quick fixes. Lead fitting sessions: taking measurements, technical notes, and deciding on the adjustments needed. Bring strong technical knowledge of woven, jersey and activewear fabrics. Bring strong technical knowledge of knitwear (gauge, stitch structure, finishing, shrinkage, shaping). Bring technical knowledge of intimates/lingerie construction (elastic engineering, cups, support structures). Carry out or coordinate fabric testing (shrinkage, stretch & recovery, colorfastness, pilling) to validate performance before bulk production. Pattern Making & Grading Create digital patterns from sketch or brief with a complete understanding of drape, ease, and movement. Apply a critical, analytical eye to grading, identifying areas for continuous improvement across the size range. Adjust key points of measurement based on fit feedback and production considerations. Technical Documentation & Accuracy Create, update, and maintain techpacks and spec sheets with accuracy and consistency. Ensure all documentation (fitting notes, revisions, BOM) is complete, organised, and up to date. Communicate clearly and effectively with manufacturers on technical comments, corrections, and updates. Sample Development & Production Coordination Track sample development across all stages, ensuring timelines and revisions are followed closely. Coordinate with manufacturers with a real understanding of production constraints (MOQ, technical feasibility, construction complexity). Estimate fabric consumption and support costing discussions with manufacturers. Prepare samples for fittings, meetings, and production handover. Leadership & Team Support Mentor and support junior team members on technical development and pattern making. Manage multiple projects and priorities simultaneously across different product categories. Act as a technical reference point for the wider design and development team. Tracking & Reporting Document development progress meticulously (fitting photos, revision notes, sample history). Keep development trackers accurate and up to date at every stage. Requirements You are highly organised, technically minded, and passionate about the details that make a garment fit and function beautifully. Detail-Oriented : You have a strong eye for precision and consistency, especially regarding fit, measurements, and garment construction. Technically Skilled : You have complete mastery of garment construction and pattern making, and understand how different fabrics behave across categories, including knitwear. Analytical : You take a critical, questioning approach to fit comments and grading, always looking for ways to improve accuracy and consistency across the size range. Process-Driven : You enjoy organising information, following development stages closely, and ensuring nothing falls through the cracks. Collaborative : You communicate clearly with both design teams and manufacturers, and enjoy working in a growing and supportive environment. Quality-Focused : You care deeply about product quality, fit consistency, and creating garments that are made to last. Sustainability-Driven : You are aligned with our client's slow-fashion philosophy and understand the importance of thoughtful product development. Requirements 8–10+ years of experience in garment technical development and pattern making. Full mastery of pattern making across wovens, jersey, knitwear, intimates. Strong knowledge of garment construction and fitting processes. Deep, critical understanding of grading and measurements, with the ability to identify and improve grading accuracy. Ability to create and update technical packs independently. Proficient in CLO 3D, Adobe Illustrator and Adobe Photoshop. Proficient in Google Sheets / Excel. Knowledge of sustainable materials and processes (certifications, recycled fibres, low-impact dyeing, etc.). Strong organisational skills and attention to detail. Comfortable communicating technical comments and revisions directly with manufacturers. Deep understanding of garment costing and fabric consumption. Experience mentoring or supervising junior technical staff. English & Bahasa Indonesia proficiency. Benefits This is a rare opportunity to focus purely on creative excellence within a purpose-driven fashion brand. If you are a Senior Garment Tech & Pattern Maker who wants to create beautiful, sustainable collections with depth, soul and commercial relevance, our client offers the platform to truly express your craft.

Location: Germany Molecule and BIO.xyz are building the foundation of Decentralized Science (DeSci) — where biotech meets web3 to make scientific research community-owned, transparent, and faster to market. Molecule provides the infrastructure to turn intellectual property (IP) into programmable, on-chain assets through our IP-NFT framework and evolving protocol stack. This enables researchers, patients, and communities to fund and govern biotech projects in new, open ways. BIO.xyz http://Bio.xyz is the coordination and economic layer of DeSci, powering BioDAOs through funding, governance, and ecosystem alignment. Together, we are creating a new model for scientific discovery — one where breakthroughs are owned and advanced by the communities that believe in them. Location: Germany (lab site TBC - right candidate informs final location) Type: Senior IC role - no team to manage on day one; you hire your team in year two once the proof exists THE ROLE Capsules. Tablets. Sterile compounding. We're building precisely-dosed formulations of cognitive, performance, and longevity compounds - modafinil, bromantane, GLP-1 analogs, BPC-157, thymosin α-1, and a growing pipeline of small-molecule and peptide actives. You will set our formulation standards, run the bench work, and be the person who can defend every excipient choice, every dissolution curve, and every sterility result. From active properties to qualified drug product - oral, injectable, topical - with documentation that holds up. WHAT YOU'LL DO - Design oral solid-dose formulations (capsules and tablets) from active properties up - excipient selection, diluents, binders, disintegrants, flow agents, and lubricants matched to each compound's solubility, stability, and dosing profile - Design sterile injectable formulations for our peptide pipeline - lyophile design, bulking agents, cryoprotectants, vial fill/finish at small scale, reconstitution protocols, and container-closure compatibility. Hands-on with EU GMP Annex 1 (sterile manufacturing) and applicable AMG/AMWHV requirements - Own encapsulation, blending, and aseptic processing end to end: powder characterization, blend uniformity, content uniformity, capsule fill weight control, scale-up from bench to production batches, and sterility assurance for the injectable side - Solve hard actives. Bromantane and modafinil bring oral-side challenges - low aqueous solubility, poor flow, dose accuracy at small fill weights. Peptides like BPC-157, GLP-1 analogs, and GHK-Cu bring injectable-side challenges - stability across the lyophile/reconstitution cycle, copper-complex integrity, peptide aggregation. You develop the techniques that make all of them reproducible - Build and run the analytical backbone: dissolution testing, assay/potency, content and weight uniformity, sterility (Ph. Eur. 2.6.1), endotoxin (Ph. Eur. 2.6.14), and stability programs (ICH Q1A - accelerated and long-term) to establish shelf life - Write documentation that holds up: master formulation records, batch records, specifications, and SOPs. Define what "in spec" means and enforce it. Clean data trails or it didn't happen - Partner with sourcing and QC on raw-material specs, incoming API characterization (identity, purity by HPLC, particle size), and supplier qualification. Build a qualified supplier network. Continuously improve - reduce variability, improve stability, lower cost-per-dose without compromising quality WHO YOU ARE - Defends decisions with data. You'd rather run the test than guess. When asked why you chose X over Y, you have a data-grounded answer - High bar on accuracy and sterility. It's people's health. Dose accuracy, reproducibility, and sterility are non-negotiable - especially on injectables - Expert in the room alone. You work well as the sole expert on day one. No team around you for the first year, and that doesn't slow you down - Engineers around complexity. You see the regulatory complexity of the compound classes we work with clearly, and you engineer around it rather than pretending it isn't there REQUIRED - Approbation als Apotheker/in (German pharmacist license), or an EU-recognized pharmacy qualification with a clear path to German licensure. Alternatively: a degree in pharmaceutics, pharmaceutical sciences, or industrial pharmacy (MSc/PhD) with equivalent hands-on formulation depth - 5+ years of hands-on formulation experience in pharma, nutraceutical, compounding, or contract manufacturing - covering oral solid dose and at least one of: sterile injectables, topicals - Deep working knowledge of excipient functionality and compatibility, and of encapsulation/tableting unit operations - Practical command of dissolution, content uniformity, and stability study design and interpretation - Experience formulating poorly-soluble or low-dose actives - Working command of EU GMP (EudraLex Vol. 4), Annex 1 (sterile manufacturing), and the Apothekenbetriebsordnung (ApBetrO) or equivalent manufacturing-pharmacy framework - Rigor with documentation: batch records, specs, SOPs, and a clean data trail STRONGLY PREFERRED - Sterile injectable / lyophilization experience - peptide formulations specifically - Background in a German Herstellungsapotheke, hospital pharmacy compounding unit, or EU-licensed contract manufacturer - Experience formulating GLP-1 analogs (semaglutide, tirzepatide) or other peptide manufacturing under a quality-grade framework - Familiarity with cognitive/performance compounds, or with the broader peptide / longevity therapeutic landscape - Hands-on with HPLC, dissolution apparatus, particle sizing, Karl Fischer titration - Comfort owning scale-up from R&D batches to production - Working proficiency in German (regulatory and documentation context) and English (team working language) WHAT WE OFFER - A senior IC seat building the formulation function from scratch at a company at the intersection of biotech, blockchain, and AI - Pre-approved capex - you spec the equipment: lyophilizer, capsule filler, balance suite, HPLC, dissolution apparatus, Class II BSC - The team you need, once you've proven the foundation We are an equal opportunity employer. We are committed to equality and weaving a community that values diverse perspectives and experiences and are actively seeking a diverse pool of applicants. All employment decisions are made without regard to race, colour, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Liquidity Platform The Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues — across both CeFi and DeFi — strategy services for automated pricing and trading bots, high-frequency data capture and analysis, and state-of-the-art micro frontends for trading management. On top of this infrastructure, we build highly customized strategies to facilitate crypto liquidity. Our engineering teams own the full trading lifecycle, from venue connectivity and execution to strategy, data, risk, and analytics. Our risk solutions are independent of trading logic, decoupled by design, and connected to 20+ trading venues across spot, derivatives, and event-contract markets. If you are a strong technologist excited about the potential of crypto trading and fully-automated systematic trading, we should talk. About the Role We are hiring software engineers across the Liquidity Platform’s engineering teams. You will design, build, and operate the systems that price, execute, monitor, and safeguard our liquidity-providing business 24/7. You will work closely with liquidity managers, product managers, and desk developers — developing strategies, services, and infrastructure using in-house toolkits — while growing capabilities in inventory and risk management, strategic problem solving, cross-functional collaboration, and effective communication. These roles are open to Senior and Staff-level candidates; scope and title are calibrated based on experience and impact. Specializations span Delta One Systematic Trading, Cash OTC, Option Market Making, Trading Infra Service, Data Engineering and Risk & Analytics. What You’ll Be Doing Design, build, and operate scalable, fault-tolerant, low-latency trading infrastructure and microservices that handle 24/7 crypto market operations. Build and maintain connectivity to centralized exchanges, DeFi venues, and counterparties using FIX 5.0+, WebSocket, HTTP/2, and REST — handling the real-world complexities of external integrations and on-chain data. Develop and maintain core services across the trading lifecycle: strategy and execution engines, automated pricing and trading bots, order execution and position tracking, trade & position data platforms, and risk & analytics systems. Architect and optimize high-throughput order execution with sub-millisecond latency targets, and build real-time market-data pipelines aggregating order books and price feeds across multiple venues. Implement pre-trade risk controls, circuit breakers, rate limiters, position/PnL and risk calculations, automated alerting, and high-availability architecture. Implement robust monitoring, alerting, and auto-recovery so strategies remain stable, scalable, and self-healing in a 24x7 trading environment. Build trusted data models, reconciliation workflows, and data-quality controls with clear lineage, reproducibility, and documentation — delivering outputs for the trading desk, Finance, and Operations. Profile and eliminate latency hotspots using garbage-free coding and lock-free concurrency; continuously improve system performance and user experience. Collaborate with liquidity managers, product managers, desk developers, risk, finance, and operations to design, implement, and roll solutions into production. Conduct code reviews, mentor junior engineers, and uphold scalability, resiliency, maintainability, and security best practices across all development activities. What We Look For In You STEM foundation: Bachelor’s degree or above in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; a combined finance background is advantageous. Experience: Typically 3–8 years in software or data engineering (level-dependent), ideally with exposure to trading, OMS, middle/post-trade, or latency-sensitive systems. Languages: Strong proficiency in one or more of Java (17+), Rust, C++, or Python, with a focus on code quality and operational reliability. Systems: Strong understanding of high-performance, low-latency distributed systems, multi-threaded/concurrent programming, and — where relevant — JVM internals and GC behavior. Connectivity & protocols: Hands-on experience with FIX 5.0+, WebSocket, HTTP/2, and REST APIs, plus network protocol and TCP/UDP optimization. Data & messaging: Strong SQL (MySQL, PostgreSQL — schema design and performance tuning); experience with Redis and Kafka. Infrastructure: Comfortable in Linux/Unix environments; familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, AliCloud, GCP) and on-premise infrastructure. Markets: Understanding of market microstructure, order lifecycle, and core trading concepts such as PnL, margin, leverage, and market risk. Mindset: Strong analytical thinking, ownership, and attention to detail; able to work effectively under pressure in a fast-paced environment; a controls mindset around data quality and reproducibility. Communication: Excellent communication and collaboration skills across business and technical teams; fluency in English required, with Chinese/Mandarin a strong plus for global, cross-functional work. Passion: Genuine interest in crypto markets, blockchain, and the broader financial industry, and a drive to keep learning new technologies. Nice to Haves Prior experience in proprietary trading, market making, quantitative research, or front-office technology at exchanges, banks, or investment institutions. Experience with execution algorithms (TWAP, VWAP, iceberg, sniper, smart order routing) and backtesting / strategy-simulation frameworks. Low-latency tooling and IPC: Aeron, Chronicle Queue, Disruptor, shared-memory messaging, Agrona Collections, Protocol Buffers, SBE. Frameworks and libraries such as Spring, Netty, and Vert.x. Modern data platforms (Spark/PySpark, Iceberg, ClickHouse, InfluxDB), workflow orchestration (Airflow, Celery), and ML tooling (MLflow, TensorFlow). Strong understanding of DeFi, blockchain, smart contracts, and crypto exchange APIs; exposure to event-contract / prediction markets. Agentic programming fluency — hands-on use of AI coding tools (e.g., Claude Code, Codex) on real production work. Risk and compliance experience; professional certifications such as CFA or FRM. Technical Environment Languages: Java 17+, Rust, Python, C++ Protocols: FIX 5.0+, WebSocket, HTTP/2, REST Stack: Spring, Netty, Aeron, Chronicle Queue, Disruptor, Kafka, Redis, etcd, MySQL, PostgreSQL, InfluxDB, ClickHouse, Iceberg, Spark Infrastructure: Linux/Unix, Docker, Kubernetes, CI/CD, AWS / AliCloud / GCP Team Specializations The Liquidity Platform comprises several engineering teams. Depending on your strengths and interests, you may join one of the following: Delta One – Systematic Trading: Build cross-venue liquidity and market-making strategies with deep market-microstructure and execution-optimization focus. Option Market Making: Build and operate automated option market-making strategies and pricing systems — managing volatility, greeks, and inventory risk while quoting continuously across crypto options venues. Cash OTC: Develop and own OTC trading strategies and their production environment, partnering closely with liquidity and product managers. Trading Infra Service: Build and maintain the core strategy engine and trading-infrastructure microservices on a distributed, enterprise-grade architecture. Deliver high-throughput, sub-millisecond order execution, market-data pipelines, and exchange connectivity. Data Engineering: Own the trade & position platform end-to-end — venue connectors, the Python + SQL data model, reconciliation, and data-quality controls. Risk & Analytics: Build a greenfield, next-generation risk platform — real-time risk monitoring, PnL/risk calculation, alerting, and circuit-breaking strategies. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco 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 a Customer Success Manager you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at both law firms and in-house teams. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. This individual will also have a chance to design and deploy scalable 1:many solutions that will impact how we serve our broad mid-market customer base in a highly efficient manner at scale. WHAT YOU'LL DO - Strategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions. - Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product. - Client Relationship Management: Serve as the primary contact for 40+ mid-market clients with a prescriptive and consultative approach and delivering a superior customer experience. - Process Creation: Drive scalability in the way we operate through documentation, designing playbooks, self-help materials, email cadences, and automation to ensure we drive efficiency in our long term mid-market strategy. - Success Metrics Management: Utilize adoption rates, benchmarks, and other key metrics to drive strategies ensuring client satisfaction and high ROI. - Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations. - Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities. - Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services. WHAT YOU HAVE - Experienced professionals from legal firms or SaaS organizations, with direct experience managing a high volume of client cases and/or customers. - Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels. - Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly. - Team players described as empathetic, committed, structured, motivated, and collaborative with a team-first mentality. - Experience with Salesforce and Catalyst, are preferred, but not required. WHAT WE OFFER - A chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive. - An opportunity to contribute to the growth and direction of our Customer Success program, building out best-in-class playbooks and processes. - A collaborative work environment that promotes growth, learning, and development. COMPENSATION RANGE $125,000 - $145,000 OTE DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JL1 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: 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 Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.   WHAT YOU'LL DO - Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders   WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process   COMPENSATION $112,000 - $168,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 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 Workplace: Remote 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 Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.   WHAT YOU'LL DO - Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders   WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process   COMPENSATION $112,000 - $168,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 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: San Francisco 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 Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace. WHAT YOU'LL DO - Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process COMPENSATION $112,000 - $168,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 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: Portugal; Albania; Greece; Bulgaria; Kosovo; Bosnia and Herzegovina; Italy; Spain; Malta; Romania; Ireland; Croatia; Serbia; Montenegro Workplace: Remote ABOUT BLOCK LABS Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence. We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong. ABOUT THE ROLE We are building the backend that powers how players experience our platform: a set of multi-tenant services that turn high-volume player activity into engaging, personalised, and trustworthy experiences. It is a broad and evolving remit, with real room to shape new products and capabilities as the platform grows. You’ll be joining a senior, highly technical team building greenfield backend services that react to player activity in real time and at scale. We value autonomy, craftsmanship, and long-term thinking, and we’re building event-driven systems designed for resilience, low latency, and trust. KEY RESPONSIBILITIES: - Design and build distributed backend services that power player engagement across a multi-tenant platform. - Develop core platform features and services across a broad and evolving set of player-facing domains, from engagement and personalisation to platform integrity. - Consume and process high-volume player activity streams, integrating with internal platforms (payments, game providers, player data) and relevant third-party tools. - Collaborate with product, frontend, data, and infrastructure teams to deliver reliable, end-to-end systems. - Contribute to architectural design and drive technical decisions across services. - Ensure scalability, fault-tolerance, and data integrity, including the correctness guarantees required when balances and player-facing decisions are involved. - Maintain clean, testable, and well-documented Go code following industry best practices. ABOUT YOU: - 6+ years of experience in backend development, ideally on high-throughput, real-time, or consumer-facing systems. - Strong proficiency in Go as a primary backend language; experience with gRPC and RESTful APIs is highly valued. - Solid understanding of distributed systems, multi-tenant architectures, and microservices. - Experience building consumer-facing or platform services where engagement, personalisation, or platform integrity matter is a strong advantage. - Comfortable working in cloud-native environments. - Deep commitment to software reliability, observability, and security best practices. - Excellent communication skills and a collaborative mindset. NICE TO HAVE: - Experience with rules engines, real-time scoring, or decisioning systems. - Background in fintech, real-time gaming and entertainment platforms, or other high-traffic consumer products. - Familiarity with event-driven systems, Kafka, or message queues. - Prior experience designing APIs for multi-tenant or white-label products. What kind of culture can I expect? Mature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you’re one of the smartest minds in your craft and want to build with other experts, you’ll feel at home here.

Location: Singapore Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences - Proficiency in Mandarin is required to support interactions with Mandarin speaking clients. EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Hybrid - Palo Alto 📍 Hybrid, Palo Alto (Hybrid – 2 days/week in office) Reports to: Director Data Science + Analytics Job Type: Full-time, W2 About the Role We are looking for a highly strategic Senior or Staff Data Scientist to design, build, and own the end-to-end data framework that defines our business health: Unit Economics. In this role, you won't just build standalone models; you will connect the dots between customer acquisition, multi-product lifecycles, complex healthcare reimbursement cycles, and operational cost structures. Your work will serve as the financial and analytical source of truth, directly influencing how we allocate marketing spend, price our products, manage retention, and project long-term profitability. You will sit at the intersection of Data Science, Finance, Marketing, and Operations, acting as a critical strategic partner to executive leadership. What You’ll Do Unified LTV & Reimbursement Modeling Bridge Estimated vs. Realized LTV: Develop sophisticated lifetime value models that account for the volatility of healthcare reimbursements and the time value of money. Predictive Reimbursement Rates: Build models to predict actual reimbursement rates across a complex mix of insurance allowables and self-pay tracks, closing the gap between theoretical revenue and cash-in-hand. Integrate Margin Constraints: Establish the foundational frameworks that incorporate operational realities—such as state-by-state clinician licensing costs and wage ranges—ensuring our LTV calculations reflect true contribution margins. Cross-Product Attribution & Portfolio Optimization Blended Contribution Margin: Optimize "basket composition" and cross-sell dynamics between our physical supplement lines and clinical services to maximize total margin. Multi-Touch & Cross-Product Attribution: Build advanced attribution models (Markov chain, ML-based) to quantify the interplay between product lines—specifically tracking how supplement purchases drive clinical visit adoption and vice versa. Price Elasticity: Design and analyze pricing experiments for supplement products to identify optimal margin-maximizing price points without degrading long-term subscriber retention. Causal Inference & Growth Intelligence Influence the CAC Decision Curve: Utilize your LTV and margin frameworks to influence the marginal LTV curves that marketing uses, helping them determine the exact point of diminishing returns on ad spend. Causal Churn Intervention: Move beyond simple churn prediction. Build uplift models to identify which at-risk customers will respond positively to specific interventions (e.g., targeted offers, clinical outreach), preserving margin by avoiding unnecessary discounting on "sure things" or "lost causes." Strategic Macro-Simulation Systemic Stress-Testing: Build stochastic (Monte Carlo) macro-simulations to help leadership and finance stress-test our business model. You will answer questions like: "If a major insurance payer shifts an allowable rate in a key state, how does that impact our payback period and portfolio margin?" What You Bring Technical Skills Advanced Modeling & Stats: Mastery of predictive modeling and Causal Inference techniques (e.g., uplift modeling, propensity score matching, synthetic controls, or diff-in-diff). Production-Grade Engineering: Proven experience architecture - building, deploying, and maintaining production-grade machine learning models. You write clean, modular, and well-tested code that integrates seamlessly into downstream workflows. Expert-Level Evaluation: Deep expertise in model evaluation methodologies, backtesting, and validation. Because your models directly impact financial forecasts and pricing decisions, you have a rigorous approach to error analysis, cross-validation, and drift detection. Attribution & LTV: Proven track record building attribution models (algorithmic or heuristic) and handling survival analysis for churn and retention forecasting. Programming & Querying: Advanced proficiency in Python for complex statistical analysis, alongside expert-level SQL for manipulating large data streams. Simulation Design: Experience structuring systemic business simulations or stochastic modeling. Modern AI Workflow: Active adoption and mastery of Large Language Models (LLMs) and generative AI tools within your personal development workflow to accelerate coding, debugging, documentation, and prototyping. Analytical Capabilities Unit Economics Intuition: You have a deep, near-obsessive understanding of the relationship between CAC, LTV, payback periods, gross margins, and contribution margins. Business Acumen: The ability to translate complex statistical outputs into clean, actionable frameworks for the CFO, CMO, and executive leaders. You know how to influence cross-functional roadmaps with data. Strategic Problem Structuring: Ability to take vague, complex business questions and break them down into answerable, high-impact analytical components. Experience 8+ years of experience delivering high-impact data science solutions. Master’s or PhD in Economics, Econometrics, Applied Statistics, or a related quantitative discipline. Ideally, your background includes time in Marketplaces, Healthcare operations, or D2C subscription businesses. Demonstrated progression in scope and impact, with a history of acting as a strategic partner to finance and operations teams. Interview Process: Recruiter Screen- 30 mins Hiring Manager Screen- 45 mins Technical Screen- 1hr Panel Interviews- 2-3 hours + Lunch in Office in Palo Alto At this time, Midi is unable to provide visa sponsorship . Candidates must be authorized to work in the U.S. without current or future sponsorship needs. The Salary range base salary is 210-250K and will depend on experience.Midi pays a competitive base salary, plus equity and benefits. While you’re waiting for us to review your portfolio, here’s some fun content to check out 🎥 https://www.youtube.com/watch?v=1px7i6MVjNg #LI-PS1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy. This is a deeply technical, hands-on role. You will write production-grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams. WHAT YOU’LL DO: - Develop and maintain device software across the full episode lifecycle: session initialisation, per-sensor stream management, episode recording, and graceful shutdown - Integrate and synchronise sensor streams - wrist and head cameras, 6-DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally-aligned, policy-consumable trajectories - Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines - Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset - Own operator-facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried - Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection - Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid-episode WE’RE LOOKING FOR: - Experience in embedded or device-level software in a robotics or sensing context - writing code that runs on the device, not just talking to it - Proficiency in C++ and/or Python for real-time sensor drivers, inter-process communication, and data recording pipelines - Solid understanding of multi-modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML - Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing - Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams - Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue NICE TO HAVE: - Experience with 6-DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes - Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce - Exposure to operator-facing tooling for data collection: session management, per-episode quality summaries, rejection and retry workflows - Experience scaling device software from a small number of prototype units to many devices operated by non-engineers in the field WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Espoo Workplace: Hybrid - Title: Senior Electronics Engineer, Radar Payload Team - Department: Engineering - Location: Espoo, Finland - Reports to: Radar Payload Team Lead - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Senior Electronics Engineer, you’ll design and deliver the core electronic systems that power ICEYE’s radar payloads, ensuring reliable performance of mission-critical hardware operating in space. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Design board-level electronic systems for satellite radar units and RF boards, focusing on power and control circuits - Develop microcontroller-based solutions for power management and control functions - Test and validate electronic designs to ensure performance, reliability, and compliance with requirements - Document schematics, PCB layouts, and verification procedures throughout development - Troubleshoot issues across development, manufacturing, and in-orbit operations - Collaborate with RF, mechanical, and software teams to deliver integrated payload systems - Lead technical initiatives and contribute system-level insight to identify risks and drive solutions - Support production and continuous improvement of electronic subsystems WHAT WE’RE LOOKING FOR MUST HAVES: - 10+ years of experience in electronics engineering delivering industrial-grade hardware products end-to-end - Strong experience designing analog power systems and control electronics for complex hardware - Proficiency with PCB design tools such as Altium and best practices for high-reliability designs - Solid understanding of high-speed signal design and integrity - Knowledge of EMI and EMC principles and their application in hardware design - Experience with hands-on testing, debugging, and validation of electronic systems - Ability to lead technically and apply system-level thinking to complex engineering problems - Working knowledge of Python for analysis, testing, or tooling NICE TO HAVES: - Experience ensuring power integrity across mixed RF, high-speed, and high-power systems - Background in aerospace, satellite systems, or defense hardware development - Fundamental understanding of RF systems and their integration with electronics APPLICATION PROCESS - Recruiter screening - Hiring manager interview - Technical task - Technical panel interview - Final interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: San Francisco Workplace: OnSite 🧠 ABOUT LEGION HEALTH At Legion Health https://legionhealth.com/, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale. Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs/, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens. Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients. Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV. Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together. 📍 ROLE LOGISTICS - Job Type: Full-Time - Role Type: Product / Technical Product Management / Consumer AI / Patient Experience / Retention - Ideal Experience Level: 5+ years - Location: San Francisco - US Visa Sponsorship: Yes 🚀 THE OPPORTUNITY Legion is hiring a Founding Product Manager, Consumer + AI to own the consumer product experience that turns AI-native care delivery into something patients can understand, trust, use, and return to. This is not a technical program management role, an enterprise roadmap coordinator role, or a “growth PM” role with healthcare language added on top. You will own real product surface area across Legion’s patient journey: onboarding, intake, eligibility, scheduling, visit prep, provider matching, care-plan clarity, medication workflows, follow-up, renewals, messaging, reactivation, and the moments that make a patient feel safe enough to come back. The right person is technical enough to reason through APIs, data models, event instrumentation, AI workflows, edge cases, system constraints, and engineering tradeoffs, but consumer-minded enough to know that the best product often feels obvious, calm, and human. You should be able to sit with a patient problem, map the underlying clinical and operational workflow, write a crisp product spec, prototype the interaction, instrument the funnel, partner deeply with engineering and design, ship the feature, and decide whether it actually improved care. Legion is a modern consumer AI software company that happens to deliver medical care. That means the product bar is closer to Anthropic, OpenAI, Character.AI http://Character.AI, Replit, Oura, WHOOP, Duolingo, Chime, Monarch, and the best consumer health companies than to traditional healthcare software. We need someone who can bring that level of product taste, technical speed, and retention thinking into a regulated, high-trust category where quality and safety matter. This is a high-ownership IC role with founder-level visibility and a direct path to Head of Product. You will work directly with engineering, design, clinical, operations, growth, data, compliance, and the founders to turn messy real-world care delivery into simple, powerful product experiences. ✅ RESPONSIBILITIES AND DELIVERABLES - Own core patient-facing product surfaces across the full consumer journey: discovery, onboarding, intake, insurance/payment clarity, scheduling, provider fit, visit prep, visit completion, follow-up, care-plan adherence, refills, renewals, messaging, support, retention, and reactivation. - Translate complex clinical, operational, regulatory, and AI workflows into simple consumer experiences that reduce anxiety, increase clarity, and help patients know exactly what to do next. - Build durable product systems, not one-off features: patient timeline, care status, tasking, reminders, notifications, escalation paths, asynchronous messaging, support deflection, eligibility logic, provider availability, and follow-up workflows. - Partner with engineering to scope and ship technically sound products across web, mobile-responsive experiences, backend workflows, APIs, third-party integrations, event pipelines, data models, and AI-assisted workflows. - Define and own product metrics for your surface area, including activation, intake completion, scheduling conversion, first-visit completion, time to care, repeat-visit rate, renewal completion, retention, NPS/CSAT, patient confusion, support burden, no-shows, and ops cost per visit. - Use PostHog, SQL, analytics tools, customer support data, operational dashboards, and qualitative research to identify patient friction, prioritize product bets, and measure whether shipped work moved the right metrics. - Design and run structured experiments where appropriate, while knowing when a healthcare product needs principled product judgment, clinical input, and quality thresholds instead of pure A/B testing. - Own product specs, user stories, acceptance criteria, rollout plans, QA checklists, experiment plans, metric definitions, launch notes, and post-launch readouts with enough clarity that engineering, clinical, ops, and growth can all execute cleanly. - Prototype quickly using Figma, v0, Lovable, Replit, Cursor, Codex, Claude Code, lightweight scripts, no-code tools, or whatever helps you make product ideas concrete before engineering invests real cycles. - Ship production PRs regularly. This is a product role—not a software-engineering role—but you are expected to work directly in the codebase and open production-quality PRs for well-scoped changes such as instrumentation, internal tools, workflow logic, UI and copy improvements, prototypes, and small fixes. You should be comfortable testing, reviewing, and safely rolling out your work in close partnership with engineering. - Partner with clinical and operations teams to deeply understand real patient and provider workflows, including edge cases: missed appointments, medication refill timing, insurance confusion, state/provider availability, pharmacies, clinical escalations, patient safety concerns, handoffs, and support loops. - Partner with compliance, legal, privacy, and clinical leadership to design AI-enabled product experiences with appropriate safeguards, human review, auditability, expectation-setting, and patient trust. - Improve Legion’s AI product layer: patient-facing AI interactions, AI-assisted intake, personalization, care navigation, workflow automation, internal copilots, clinical/ops review queues, and evaluation loops that make automation safer and more useful over time. - Create product feedback loops from patient conversations, support tickets, provider feedback, drop-off data, session recordings, funnel analytics, and clinical/ops metrics so the roadmap is grounded in real behavior, not vibes. - Work with growth and brand to ensure acquisition promises match the actual product experience, so the patients we bring in understand what Legion does, feel properly oriented, and are more likely to stay in care. - Raise the product craft bar across Legion: clearer flows, better defaults, fewer dead ends, tighter copy, sharper state handling, cleaner mobile experiences, stronger instrumentation, faster iteration, and more rigorous launch quality. 🏆 YOU’LL BE SUCCESSFUL IF YOU… - Make Legion’s patient experience feel consumer-grade: fast, clear, calm, trustworthy, and easy to return to. - Improve the core retention loop of care: more patients complete intake, make it to their first visit, understand the next step, follow through on care plans, complete renewals when eligible, and come back when they need help. - Turn messy clinical and operational workflows into product systems that scale without making patients feel like they are navigating a maze. - Ship AI-enabled experiences that feel useful and safe, with clear boundaries around what AI does, what doctors do, and when humans review or intervene. - Build a measurement system that makes the patient journey legible: every meaningful step has an owner, a metric, and a path to improvement. - Reduce patient confusion and support burden by improving the product itself, not just by adding more manual operations. - Help Legion move faster without becoming sloppy: strong specs, smart scoping, crisp decisions, high-quality launches, and honest post-launch learning. - Earn trust from engineering because you understand technical constraints and tradeoffs, and from clinical/ops teams because you understand the reality of care delivery. - Create product experiences that are emotionally intelligent without being soft, technically sophisticated without being confusing, and ambitious without being reckless. - Help build the product foundation for a company that can deliver world-class medical care at dramatically lower cost. 🧰 IDEAL BACKGROUND AND SKILLS - 5+ years of product management, product engineering, technical founder, or equivalent experience, with meaningful ownership of consumer-facing web or mobile products. - Strong consumer product instincts. You have shipped products that people actually use, understand, trust, and return to, not just internal tools or enterprise workflows. - Technical fluency across software product development. You can reason through APIs, data models, event instrumentation, backend workflows, frontend states, AI workflows, latency, failure modes, privacy constraints, and engineering tradeoffs. - Hands-on technical curiosity. You can navigate API docs, logs, event payloads, session recordings, agent traces, and enough of a codebase to understand what is really happening without pulling engineers into every first-pass investigation. - Experience partnering deeply with engineering and design from problem definition through launch: discovery, PRDs/specs, UX flows, technical scoping, sprint planning, QA, rollout, metric tracking, and iteration. - Strong analytical ability. You are comfortable with SQL or equivalent data exploration, product analytics tools such as PostHog, Amplitude, Mixpanel, Looker, Hex, or Mode, and you can define useful metrics without waiting for someone else to hand you a dashboard. - Track record improving engagement, retention, activation, conversion, habit formation, lifecycle, or core experience metrics in a consumer product. - High product taste and UX judgment. You care about copy, information architecture, interaction design, empty states, error states, mobile responsiveness, notification timing, trust cues, and the emotional texture of the user experience. - AI-native working style. You already use tools like Codex, Claude Code, Cursor, Replit, Lovable, v0, ChatGPT, Claude, Figma AI, or similar tools to prototype, analyze, write, synthesize, debug, and move faster. - Comfort working on AI-enabled products where the PM must think about prompt behavior, user expectations, evaluation, quality thresholds, fallback paths, human review, auditability, and safety. - Healthcare experience is a strong plus but not required. Experience in another trust-sensitive consumer category such as fintech, insurance, family/kids, identity, privacy, marketplaces, wellness, or regulated consumer products is also valuable. - Startup operating mode: high agency, low ego, high urgency, strong writing, strong judgment, strong follow-through. You can create clarity without waiting for a perfect org chart. - Ability to work cross-functionally with clinical, operations, support, compliance, legal, growth, data, design, engineering, and founders without losing the thread of the user problem. - Excellent writing. You can write crisp strategy docs, product specs, launch plans, decision memos, patient-facing copy, and post-launch analyses. - Bias toward building. You are happiest when you are close to the product, close to users, close to the data, and shipping. - Bonus: experience at or near companies like Anthropic, OpenAI, Character.AI http://Character.AI, Replit, Cursor, Perplexity, Notion, Duolingo, Oura, WHOOP, Chime, Monarch Money, Rocket Money, Acorns, Function Health, Nourish, General Medicine, Circle Medical, Tava Health, Headway, Rula, Midi Health, Evvy, Ro, Hims & Hers, Thirty Madison, Levels, Superpower, or another breakout consumer product with high craft, high trust, and fast iteration. 💰 COMPENSATION & BENEFITS - Salary: $190,000 – $290,000 - Early-Stage Equity: Meaningful ownership in a category-defining company. - Health Insurance: Medical, dental, and vision benefits - Additional Perks: In-person retreats, meal stipends, AI/product tooling budget, learning stipend, home office support - Time Off: Flexible, unlimited vacation policy - Work Hours: Flexible - Work Setup: In-person in San Francisco - Impact: Build the product layer for a company trying to change health care forever. - Autonomy and Learning: Own major patient-facing product surfaces end-to-end, from product strategy through technical scoping, launch, measurement, and iteration. - Growth Opportunities: As we scale, this role can grow into Staff Product Manager, Product Lead, or Head of Product scope. 📝 HOW TO APPLY AND HIRING PROCESS - Apply here: https://jobs.ashbyhq.com/legionhealth/0ffded39-1242-4a35-9bc3-0e5b0ce22276 - Overview of our hiring process: 1. Resume + Application Screen 2. Founder / Product Interview 3. Technical Product Deep Dive 4. Cross-Functional Interviews with Engineering, Design, Clinical/Ops, Growth, and Founders 5. Professional Reference Checks - Estimated time-to-hire: 2 weeks - Start date: ASAP - Hiring manager: Arthur MacWaters 🤝 EQUAL EMPLOYMENT OPPORTUNITY Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: You'll be Recruiting's dedicated people analytics partner — owning the data, shaping the strategy, and in the room where decisions get made. The core of the role is building trusted recruiting analytics infrastructure (funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, sourcing channel quality, and recruiter capacity) and making it self-serve for recruiters and leaders. You’ll own the stack end-to-end — from raw data in Ashby and Snowflake to clear insights that hold up in a pipeline review. You're the person who turns workforce signals into recruiting strategy — bringing a point of view. This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own recruiting analytics end-to-end: Build and maintain the dashboards and reporting infrastructure Recruiting leadership relies on (funnel health, conversion rates by stage, time-to-fill, offer acceptance, pipeline aging, interview/interviewer effectiveness, and recruiter capacity) — real-time, self-serve, and trusted. - Build headcount + velocity models: Translate hiring targets into pipeline math (volume needed by stage, ETA to close, roles trending behind plan) and tie it to recruiter capacity and prioritization — so leaders see issues early and know what to do about them. - Make talent data decision-grade: Define core recruiting metrics and their definitions, document them, and build toward a single source of truth the team can align on. - Bring signal to pipeline leadership reviews: Show up to pipeline reviews and QBRs with crisp analysis and a recommendation (where the bottleneck is, what changed, what to test next), not just a slide deck. - Improve the recruiting system: Use data to spot where process, calibration, or prioritization is creating drag — and partner with Recruiting and Finance to fix it. - Use AI as leverage in your first 90 days: Use AI to accelerate query iteration, metric QA, and insight narratives (e.g., draft + test SQL approaches, anomaly checks, and concise readouts) while keeping the underlying logic and definitions clean and auditable. SKILLS YOU'LL NEED TO BRING: - Proven ability to build analytics that gets used: You’ve shipped dashboards/models that teams rely on to run real weekly decisions — not one-off reports. - Strong SQL + data modeling judgment: You can write complex queries, debug data issues, and build maintainable models/pipelines that other people can trust. - Quantitative modeling for recruiting problems: You can translate hiring stages into clear funnel math and capacity views, and you know how to stress-test assumptions. - Strategic partner instincts: You anticipate the questions leaders will ask, show up with the analysis, and can say what the data implies for decisions. - AI-fluent, with good taste: You use AI as a daily multiplier (analysis, QA, drafting narratives) and know when to rely on it vs. when to go to first principles. - Build in Notion: You’re comfortable structuring knowledge and workflows in Notion (databases, views, documentation) so your work is easy for others to find, trust, and build on. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $225,000 - $275,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Syracuse, NY Construction Project Manager – Power Foundations (Transmission & Substation Civil) Location: Various (Project‑Based) Employment Type: Full‑Time Travel: Required (Long‑Term, Onsite Assignments) Build the Foundations That Support the Grid Strengthening our nation’s power grid isn’t easy, but reliable electrical service is essential to everyday life. Every time someone charges an iPhone, cranks up the A/C, or turns on a computer, we are busy behind the scenes making it happen. Michels Power, Inc. is one of the largest, most sought-after power delivery contractors in the United States. We execute the entire spectrum of electrical infrastructure projects—including transmission lines, substation construction, distribution modernization, and renewable energy development . We also restore power after natural disasters strike. Our foundation and civil teams play a critical role in delivering the structural backbone of transmission and substation infrastructure , ensuring long-term reliability and performance. Our work improves lives. Find out how a career at Michels Power, Inc. can change yours. Position Overview As a Project Manager – Power Foundations , you will lead the execution of civil and foundation scopes for transmission line and substation projects, including drilled foundations, structural concrete, and site development. You will manage a phase of a large complex project or multiple medium‑sized projects ranging from approximately $500K to $10M , with full accountability for project success—from proposal and bidding through profitable completion —with an emphasis on safety performance. This role requires a driven, organized leader who thrives in field-based construction environments and can effectively manage civil crews, subcontractors, and multi-discipline coordination . Key Responsibilities Lead projects through estimating, bidding, execution, and closeout phases Manage foundation and civil construction scopes , including: Drilled pier and caisson foundations Spread footings and structural concrete Direct-embed structures and anchor systems Site grading, excavation, and access development Ensure projects are delivered safely, on schedule, within budget, and to quality standards Oversee field personnel, subcontractors, equipment, and material logistics Track and manage project costs, forecasts, schedules, and productivity metrics Collaborate with engineering, estimating, and operations teams to align execution strategies Identify and mitigate constructability challenges, geotechnical risks, and logistical constraints Maintain strong client relationships and communication throughout project lifecycle Promote and exemplify Michels’ safety-first culture Why Michels Power, Inc.? Ranked No. 1 Electrical Transmission & Distribution Contractor by Engineering News-Record National leader in substation, transmission, and power infrastructure construction Family owned and operated with long-term stability Strategic growth driven by a commitment to quality Invests approximately $5,000 per employee per year in training and career development Performs high-impact work that supports homes, businesses, and communities Strong safety culture—everyone is responsible, regardless of title Part of the Michels family of companies—one of North America’s largest and most diversified infrastructure contractors Comprehensive Benefits Package Health, Dental, and Life Insurance Flexible Spending Accounts (FSA) and Health Savings Account (HSA) Short- and Long-Term Disability Insurance 401(k) Retirement Plan Legal Assistance and Identity Theft Protection Plans (Benefits may vary based on position and location) Why you? You like to surround yourself with dedicated, value-driven people. You thrive on new challenges and evolving technologies. You think “we’ve always done it this way” is not a good enough reason. You want to know your efforts are recognized and appreciated. You like making your own decisions—with the right support. You want to be part of a team that improves lives through essential infrastructure. What it takes? Bachelor’s degree in Project Management, Construction Management, Engineering, or related field , or equivalent combination of education and experience 5–7 years of experience managing construction projects, preferably within civil, foundation, transmission, or substation work Experience with project management and scheduling software (Primavera, HCSS, or similar) Proficiency in Microsoft Office Suite Strong organizational, leadership, and communication skills Valid driver’s license with an acceptable driving record Willingness to travel and commit to long-term onsite project assignments Join a company that powers progress. Be a part of Michels Power, Inc.—where you don’t just build projects, you build a career. This information reflects the anticipated base salary for this position based on current market data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on individual’s skills, experiences, education, and other job-related factors permitted by law. Expected Salary Range $110,000 — $170,000 USD AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/