Вакансии

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: France; Spain; Italy We are looking for an experienced Senior Data Architect to assess an existing data landscape and define a scalable target-state architecture that can support future business growth. The role combines architecture assessment, data platform design, governance, data quality, integrations, and implementation support across cloud, on-premises, and hybrid environments. Language requirement French - C1 or higher What you'll be working on Assess the current data architecture and identify key risks, limitations, and improvement areas Define a scalable target-state data architecture Design an architecture that can support ongoing expansion through new subsidiaries Address architectural dependencies and eliminate existing single points of failure Define and improve data quality standards and data modeling practices Evaluate cloud, on-premises, and hybrid architecture options Design data warehouse and broader data platform solutions Support data governance initiatives from an architectural perspective Define and support REST API-based integrations Work with Microsoft SQL Server-based data environments Conduct the initial architecture assessment during the first project phase Support implementation and testing activities during the delivery phase Collaborate with technical and business stakeholders throughout the architecture and implementation lifecycle Requirements What we're looking for Senior-level experience in Data Architecture Fluent French at C1 level or above Strong understanding of Data Governance principles Hands-on experience with Microsoft SQL Server Proven experience designing and integrating REST APIs Strong background in Data Warehousing and Data Platform Design Experience assessing and designing cloud, on-premises, and hybrid architectures Deep knowledge of Data Quality management and Data Modeling Ability to evaluate existing data environments and define scalable target-state architectures Experience supporting implementation and testing of architectural solutions Strong analytical skills and ability to translate business growth requirements into sustainable technical architecture

Location: Athens, Greece We are seeking a Semantics/Knowledge Graph Engineer to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems. What You'll Do: Analyse and maintain RDF/TTL data models and vocabularies; Develop, optimise, and maintain SPARQL queries; Support data ingestion, transformation, and validation workflows; Ensure consistency and correctness of semantic data across the platform; Collaborate with backend engineers to integrate semantic logic into application flows; Assist in documenting semantic models, assumptions, and constraints; Participate in troubleshooting data quality and reasoning issues. Requirements 3+ years of experience working with semantic or data-centric systems; Strong knowledge of: RDF, RDFS, OWL SPARQL Experience with: Knowledge graphs or semantic interoperability platforms; Data modelling and ontology design; Comfortable working with structured data formats: TTL, XML, JSON, CSV Ability to analyse existing models and understand implicit domain logic. Nice-to-Have: Experience with triplestores or graph databases; Familiarity with EU data standards or interoperability frameworks; Python scripting for data processing and/or Apache Airflow; Experience in projects with regulatory or standards-driven constraints. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( S/KGE/10/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Athens, Greece We are seeking a Semantic / Data Engineer to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems. What You'll Do: Analyse and maintain RDF/TTL data models and vocabularies; Develop, optimise, and maintain SPARQL queries; Support data ingestion, transformation, and validation workflows; Ensure consistency and correctness of semantic data across the platform; Collaborate with backend engineers to integrate semantic logic into application flows; Assist in documenting semantic models, assumptions, and constraints; Participate in troubleshooting data quality and reasoning issues. Requirements 3+ years of experience working with semantic or data-centric systems; Strong knowledge of: RDF, RDFS, OWL SPARQL Experience with: Knowledge graphs or semantic interoperability platforms; Data modelling and ontology design; Comfortable working with structured data formats: TTL, XML, JSON, CSV Ability to analyse existing models and understand implicit domain logic. Nice-to-Have: Experience with triplestores or graph databases; Familiarity with EU data standards or interoperability frameworks; Python scripting for data processing and/or Apache Airflow; Experience in projects with regulatory or standards-driven constraints. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( SDE/10/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Marousi, Greece We are seeking a senior litigator from a leading Greek law firm or an in-house legal function, with 8+ years' post-qualification experience and strong expertise in public procurement litigation. The ideal candidate combines courtroom experience with a preventive, commercially minded approach, and can protect the group's interests in competitive tender processes while keeping disputes to a minimum. You will join a dynamic, fast-growing GovTech business that bids for and delivers contracts for EU institutions and national public authorities across Europe. Key Responsibilities Act as the group's senior authority on dispute resolution, setting strategy and overseeing any litigation, arbitration or administrative proceedings involving ED's entities across jurisdictions. Protect ED's position in public tenders: assess procurement decisions and, where appropriate, pursue or defend challenges before national review bodies, the Greek administrative courts and Council of State, and the EU General Court. Advise senior management and bid teams at key tender milestones (evaluation, award, standstill) so decisions to challenge, intervene or defend are well founded and proportionate. Prevent disputes by strengthening tender submissions, contract terms, and consortium and teaming agreements, drawing on procurement and litigation insight. Resolve contractual issues with clients, subcontractors and consortium partners early, favouring negotiated outcomes that protect long-term relationships. Select and manage external counsel in Greece, Luxembourg, Belgium and other jurisdictions when needed, ensuring strategy alignment and cost control. Provide the CEO and the Board with clear, periodic reporting on legal risk and exposure, and give input to Finance where relevant. Guide and support the in-house disputes team, promoting consistent quality and sound judgement. Advise on contractual risk in EU institutional and public sector framework contracts, and support compliance, governance and M&A due diligence as required. Requirements LLB/LLM and qualification to practise law in Greece (member of the Athens Bar Association or equivalent); rights of audience before the higher courts preferred. 8+ years' experience in litigation and dispute resolution at a recognised Greek law firm or a comparable in-house role, with substantial public procurement litigation experience. Strong knowledge of national procurement review procedures and EU public procurement law, including the EU Directives and the EU Financial Regulation rules for procurement by EU institutions; experience before the EU courts is a strong advantage. Proven ability to assess legal risk proportionately, manage external counsel and budgets, and communicate clearly with senior management and boards. Experience guiding or mentoring other lawyers. Fluent English (written and spoken) is essential; French or other European languages are a strong plus. Sound judgement, independence and the ability to work across multiple jurisdictions. Commercial mindset, with a preference for practical, preventive solutions over adversarial ones. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( CO&LC/10/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Warsaw, Poland; Kraków, Poland [EN] Sperasoft is a leading game co-development company. We work closely with our partners to deliver high-quality titles for world-class publishers. Sperasoft is a part of Keywords studios – international technical and creative services provider to the global video games industry and beyond. Game Development is our core competency.  We collaborate closely with our partners, assisting them throughout the whole process of developing high quality AAA titles. [PL] Sperasoft to wiodąca firma specjalizująca się we współtworzeniu gier (co-development). Ściśle współpracujemy z naszymi partnerami, aby dostarczać wysokiej jakości tytuły dla światowej klasy wydawców. Sperasoft jest częścią Keywords Studios – międzynarodowego dostawcy usług technicznych i kreatywnych dla globalnego przemysłu gier wideo i nie tylko. Tworzenie gier to nasza główna kompetencja. Blisko współpracujemy z naszymi partnerami, wspierając ich na każdym etapie procesu powstawania wysokiej jakości tytułów AAA. [EN] Responsibilities: Design, build and maintain efficient, reusable and reliable C++ code Help maintain code quality and organization Implement performance and quality modules Perform communications within a team [PL] Obowiązki: Projektowanie, tworzenie i utrzymywanie wydajnego, czytelnego i wolnego od błędów kodu w C++ Wsparcie w dbaniu o jakość i strukturę kodu Implementacja modułów odpowiedzialnych za wydajność i jakość Sprawna komunikacja z zespołem Requirements [EN] Proficiency in C++, with fair knowledge of the language specification Knowledge of the standard library, STL containers, and algorithms Understanding of memory management in non-garbage collected environments Understanding of dynamic polymorphism and C++ specific notions Familiarity with C++ templates Production experience in UE4/5 will be a plus Familiarity with continuous integration Good communication skills and spoken English "Common UI" practical experience would be a big plus [PL] Wymagania: Biegła znajomość C++ wraz z dobrą znajomością specyfikacji języka Znajomość bibliotek, kontenerów STL oraz algorytmów Rozumienie zarządzania pamięcią w środowiskach bez automatycznego czyszczenia pamięci (non-garbage collected) Zrozumienie polimorfizmu dynamicznego oraz pojęć specyficznych dla C++ Znajomość szablonów C++ Doświadczenie komercyjne (produkcyjne) w UE4/5 (Unreal Engine) będzie dodatkowym atutem Znajomość zagadnień ciągłej integracji (Continuous Integration) Dobre umiejętności komunikacyjne i znajomość języka angielskiego w mowie i piśmie Praktyczne doświadczenie z "Common UI" będzie dużym plusem Benefits [EN] Working with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events Medical Care package Sensibly flexible working hours Breakfasts, snacks and fruits available during the day, tea and coffee machines Friendly team Additional benefits – Care Bonus to cover health, educational and safety needs, MyCafeteria, corporate parties and team buildings and many more others [PL] Praca w międzynarodowym zespole światowej klasy profesjonalistów przy ekscytujących i pełnych wyzwań projektach Możliwości nauki i rozwoju: mentoring, wykłady, udział w konferencjach i wydarzeniach branżowych Pakiet opieki medycznej Elastyczne godziny pracy (w ramach potrzeb zespołu) Śniadania, przekąski i owoce dostępne w ciągu dnia, a także ekspresy do kawy i wybór herbat Przyjazny zespół Benefity dodatkowe – Care Bonus (pokrywający wydatki związane ze zdrowiem, edukacją i bezpieczeństwem), platforma MyCafeteria, imprezy firmowe oraz wyjazdy integracyjne, a także wiele więcej

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Reports to: Head of People Level: Director Location: Remote, but in a location that allows for at least ~3 hours of daily overlap with East Africa Time, and meaningful overlap with US Eastern hours. At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back. Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. Travel: Approximately 3-4 trips per year, including at least one to a country of operation and one to a key in-person leadership moment. About this role We are currently planning for a significant increase in scale, and we are building the People function that can carry it. This is our first senior talent management role. Today we have pieces of talent management programs and processes in place, but not yet a function. You will build one: an intentional approach to how we onboard, develop, and retain our people. That covers performance management and its link to pay, manager and leadership development, learning, onboarding, talent planning and succession, employee listening and engagement, and culture and values. The first year is weighted toward four priorities: joining the redesign of our performance system early, alongside the Head of People, and owning it as it moves into execution, as we move to pay for performance, revamping onboarding ahead of our next wave of hiring, planning our values retreat for senior leaders, and getting a read on employee listening and engagement. As those take shape, the balance shifts toward the longer-term build: the vision and roadmap for the function, a foundational manager program, talent planning and succession, and the team around you. The reason for this weight: the performance system and onboarding are our most acute gaps today, but they should not be construed as a ceiling of the job. We are hiring a senior talent management leader who can shape the whole function over several years, not the owner of one or two programs. If your instinct on reading this is that the performance redesign is the whole job, this role probably isn’t the right fit, and the reverse is also true: if you want to set strategy but not build the first versions yourself, year one will frustrate you. What you’ll do Build the talent management function Within your first 90 days, assess what exists today across these areas, recommend the sequencing for the first year, and agree to it with the Head of People. Set the vision and multi-year roadmap for talent management across the areas it covers, and sequence the work against the People roadmap. Propose the team around it, and decide what we build in-house and what we buy or borrow. Connect talent management to workforce planning, compensation, and recruitment, in partnership with the Head of People, Finance, and function leaders. Build an approach to talent and succession planning, starting with critical roles: work with leaders to identify succession gaps, assess potential successors, and put development plans in place to prepare people for future opportunities. Own the performance system Join the performance system redesign early, alongside the Head of People, and own it as it moves into execution: a system that produces reliable, calibrated outputs to inform merit increases, connected to our new salary bands. Make the system worth using, not a check-the-box exercise: one that helps managers hold better performance and development conversations and gives employees clarity on expectations, feedback, and growth. Build calibration and the data around it so ratings and merit decisions stay consistent and fair across countries, currencies, and manager quality. Set a clear global standard for handling low performance that doesn’t default to a misconduct process, and equip managers to use it. Ensure the performance system helps managers identify and support sustained high performance, connecting it to recognition, development, and career growth opportunities. Iterate the system through multiple cycles, using calibration, outcome data, and feedback from managers and employees to improve it. Build how people join, learn, and are led Revamp onboarding ahead of our next wave of hiring: own the content and experience for new hires and their managers, working with People Ops on process and systems. Build a foundational manager program and the tools behind it: feedback, coaching, difficult conversations, and performance management. Extend into leadership development and broader learning as the function matures. Shape culture and listen to employees Plan the values retreat with an external facilitator and our executive sponsor, and own what carries into daily work afterward. Get a read on listening and engagement today, covering what we hear, where it goes, and what should change, and use it to build our employee listening strategy. What this role is not Not a recruiting role. Hiring sits with our Talent Acquisition team. You partner with them on the handoff into onboarding and on how we assess and develop talent once people are here. Not the owner of compensation design. Pay structures and bands are set through our compensation work. You own how performance is assessed and how ratings connect to pay decisions. Not an employee relations or casework role. Cases in country belong to managers and HR Managers, supported by the People team. You own the performance system and the manager capability that helps them handle concerns well. Not the owner of HR systems or process administration. Onboarding workflows and our HRIS sit with People Ops. You own the content and the experience. Who we’re looking for Required 7+ years in talent management, performance, or organizational design roles, including time leading a function or a major part of one. You have designed a performance system, not only administered one. You can show how ratings connected to pay and what you changed after the first cycle. You have kept a rating and pay system fair across contexts with different currencies, labor markets, and manager quality. You are a hands-on builder. You have built talent management programs and systems from scratch, or close to it, in a start-up or scale-up: performance, onboarding, manager development, or a whole function, where what you needed did not exist and you built it while the volume was already arriving. We are not looking for steady-state operating experience, or for leaders who have overseen this work without building it themselves. You think in systems. You can show how a change in one part of a talent system, such as ratings, calibration, pay, promotion, or onboarding, shows up in the others, and you reason from the underlying problem rather than copying another organization’s template. You design with change management in mind from the start. You plan for how managers and employees in different countries and cultures will adopt a new program or system as part of the design, not as a rollout step afterward, and can show how you knew it stuck rather than being worked around. You have deep experience in at least two of onboarding, manager development, and employee engagement or listening, and working experience in the third. You have built programs and content people actually used, and can show how you knew they worked. A track record of joining a major project already in motion, taking it over, and working through disagreement with a senior partner, and of influencing without formal authority in a matrixed organization. Judgment and prioritization. You decide what slips and say so plainly. Preferred Experience in a mission-driven or international organization, ideally alongside high-growth commercial or tech experience. Experience working across multiple countries, including sub-Saharan Africa. Experience working with external facilitators, consultants, or vendors, and knowing what to hand off and what to hold. Comfort using data (survey, performance, calibration) to make decisions, and knowing when the numbers mislead. Exposure to compensation design or close work with a total rewards team. Professional French or Portuguese. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. If you are in a location other than those listed below, our recruiters will share compensation information during your initial screen. United States Base Salary: $134,400 Annual Benefits Stipend: $21,393 Bonus Target: 15% United Kingdom Base Salary: £94,605 Annual Benefits Stipend: £2,760 Bonus Target: 15% Kenya Base Salary: $106,282 Annual Benefits Stipend: $8,453 Bonus Target: 15% Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are seeking a detail-oriented, agile and organized Senior Administrative Assistant to join our GTM team. In this remote role, you will play a crucial part in supporting our organization by providing administrative and operational assistance from the comfort of your home. The Senior Administrative Assistant will ensure efficient communication, coordination, and documentation to contribute to the smooth functioning of our virtual office. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within Canada and the US. What we're looking for: - 4+ years of proven experience as an administrative assistant. Experience in a virtual or remote capacity a plus - Proficiency in virtual office tools such as Google Workspace, zoom, workplace, slack, and online project management software. - Excellent written and verbal communication skills, with an understanding of virtual communication etiquette. - Strong organizational and time management skills, with the ability to work across different time zones. - Detail-oriented with a commitment to maintaining accuracy while working remotely. - Self-motivated, disciplined, and capable of working independently with minimal supervision. - Problem-solving mindset and a proactive approach to addressing virtual challenges. - Ability to multitask effectively in a remote environment with changing priorities. - Familiarity with virtual collaboration and document management tools is advantageous. - Knowledge of remote work best practices and cybersecurity considerations is a plus. What you can expect: - Provide virtual administrative support to team members, clients, and stakeholders with a courteous and professional demeanor. - Manage and maintain virtual calendars, schedule appointments, and coordinate virtual meetings across different time zones. Ensure technical readiness and troubleshooting. - Organize travel for the leader(s) you support, including flights and hotel management - Organize and maintain digital files and documents in a structured and easily accessible manner. - Respond promptly to virtual communication channels, forwarding messages to appropriate parties as needed. - Collaborate effectively with remote colleagues using virtual communication and collaboration tools. - Build strong cross-functional relationships to help represent the GTM VPs' priorities and unblock communication - Draft, edit, and coordinate high-quality internal and external communications on behalf of the GTM Leaders - Compile expense reports, process invoices through the procurement portal - Support special remote projects and initiatives as directed. - Plan and coordinate team offsites, including hotels, meals, meeting space, and attendee logistics, with occasional travel to support events. USA-based roles only: The annual base salary for this role is between $98,000 USD and $137,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $80,000 CAD and $112,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Remote PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform delivers a fully managed, multi-cloud Postgres service designed for the most demanding production workloads. We handle the complexity of provisioning, scaling, replication, and failover - so engineering teams can focus on building their products. Our customers entrust us with their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a Software Engineer to join our Postgres engineering team and help us build a world-class managed Postgres offering. What's the job to be done? You will design and build the control plane that provisions, scales, and heals Postgres clusters with minimal customer-visible downtime. You will build and maintain high availability, disaster recovery, and data protection solutions that keep customer databases safe through infrastructure failures. You will tune Postgres to operate at scale for some of the largest and most demanding workloads in the world. You will build tooling and automation for database operations, backup, restore, and migration workflows - and participate in an on-call rotation. You will work directly with customers to understand their workloads and translate real-world needs into platform improvements. These attributes best describe you… You have strong experience building, operating, or maintaining large-scale Postgres deployments in production. You have an excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, and performance. You have strong fundamental computer science skills and can reason about distributed, fault-tolerant systems. You thrive in a collaborative environment, enjoy mentoring other engineers, and communicate complex technical tradeoffs clearly. You are self-motivated and can work independently with minimal guidance while making sound technical decisions. What you will need 5+ years of software engineering experience designing, building, and supporting large-scale systems in production. Strong proficiency in Go, with experience in other languages like Ruby, Python, Zig or Rust. Experience building and maintaining distributed, fault-tolerant services. Working knowledge of Kubernetes and containerized applications. Experience building and operating distributed systems at scale. What else will help you be successful Experience building or operating a database-as-a-service or managed database platform. Experience with connection pooling and proxy layers for Postgres. Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code. Contributions to open-source projects, especially in the Postgres or database infrastructure space. Experience working with remote, geographically distributed teams. Previous experience at a high-growth technology company. Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $120,000 - $290,000 USD

Location: Remote US About the role More and more PlanetScale databases are created, connected and queried by AI agents. Cursor, Claude Code, Codex and a growing list of other tools now sit between developers and their infrastructure. You will own that experience end to end. You'll make sure PlanetScale shows up everywhere developers build with AI, that our MCP server and CLI work flawlessly in every agent, and that we can measure how well it all works. Then you'll show the world how to do it well through demos, docs, blog posts, videos, and conferences. This is a hands-on role combining engineering, content creation, and a strong public voice. You'll work closely with the teams that build our MCP server, CLI, API and docs. The landscape of how developers work with AI changes fast. You'll have the opportunity to move quickly, experiment, and take the lead on the future of AI use with databases and infrastructure. Make PlanetScale great with AI tools Build and maintain the plugins for PlanetScale in every AI marketplace and directory: agent plugins, skill registries, MCP directories, IDE extension stores and AI app builders Own our integrations with AI coding tools, agent frameworks and platforms Stay current with AI tools as they launch and ensure our customers have a great experience from day one Test the PlanetScale MCP server and CLI across Claude Code, Cursor, Codex, VS Code and other clients, and catch regressions before users do Find friction in creating a database, connecting, running migrations and debugging queries from inside an agent, then fix it or drive the fix with the owning team Improve the context agents rely on: tool descriptions, skills, llms.txt, docs written for agents, and error messages agents can act on Attention to AEO (answer engine optimization): make sure agents find and recommend PlanetScale Build and maintain skills for working with Postgres, MySQL, Vitess, Neki, and PlanetScale Measure how well we're doing Build evals that run real agent tasks against PlanetScale databases Benchmark how agents perform with PlanetScale and work towards continuous improvement Track how often AI assistants and agents recommend PlanetScale for database questions, and whether what they say about us is accurate Instrument and report on agent usage: databases created by agents, time to first connection, MCP versus CLI usage, and where sessions fail Show people how to do it well Build demos and sample apps that show PlanetScale and AI tooling at their best Write docs, guides and blog posts on using databases effectively with AI, including safe access, branching and performance assessment Make videos and attend conferences to communicate with our audience how to build effectively with AI These attributes best describe you Daily use of AI coding agents, with strong opinions about what makes a tool work well with them Experience building an MCP server, plugin, CLI or SDK that real developers use Software engineering background in languages like TypeScript and Go, and comfort with APIs, OAuth and the command line Experience with writing docs, blogs, and / or video content creation Good at communicating with a broad audience and customers alike on socials Experience working with relational databases (Postgres, MySQL, SQLite), schema design, migrations, connection handling, and Postgres or MySQL in production Data fluency: designing evals, writing the queries behind a dashboard, and telling a real trend from noise Clear communication of technical ideas in writing, on video and on stage Independence and speed: spotting a gap, shipping a fix, and telling people about it Genuine curiosity about the AI tooling landscape and a habit of keeping up with it Bonus points Contributions to the MCP spec, SDKs or popular open-source MCP servers Experience writing agent skills, plugins or rules files for Claude Code, Cursor or Codex Experience with LLM eval tools and building benchmarks for agents Experience with AEO or GEO, or with tracking how LLMs surface and recommend a product A blog, YouTube channel or GitHub that developers already follow Experience with Vitess, database sharding, or running databases at scale Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base Salary Range: $170,000 - $220,000

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE Supabase Storage https://supabase.com/docs/guides/storage is a scalable and high performance object storage service and is one of our fastest growing services. The current landscape of tools for uploading, storing, processing and delivering assets is complicated. Developers are forced to think about regions, caching, codecs and security before they can start uploading anything. We are looking for engineers to solve this problem once and for all! You will be working across the entire stack - client libraries, CLI, CDN, the storage server and the deployment infrastructure. One day, you might focus on improving upload resilience in iOS applications; the next, you could be optimizing the S3 protocol for efficient retries or finding ways to accelerate upload processing. You will be contributing to both our open source server https://github.com/supabase/storage and upstream dependencies we use, like the TUS server https://github.com/tus/tus-node-server/pulls?q=sort%3Aupdated-desc+is%3Apr+author%3Afenos+is%3Amerged. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Improving our analytics bucket offering and improving the storage of open file formats like iceberg and ducklake - Asset optimization to speed up delivery for websites and mobile applications - Building out our edge network to speed up uploads and build features like automatic cache invalidation - Improve the performance, observability, and reliability of our storage server - Work with the frontend team to build a fast, powerful storage explorer - Improve our APIs, client libraries and CLI to provide an exceptional end-to-end DX for our users - Resolve escalated support issues, while also identifying and resolving systemic issues across the platform YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years backend engineering experience of running Node.js in production - Have experience with highly scalable, distributed systems - Are comfortable with working across the stack - backend application development, some infrastructure work including deploying, monitoring and scaling the service - Posses familiarity with observability tools (OpenTelemetry, Prometheus, Grafana) and performance tuning - Have experience with production-grade PostgreSQL usage, including tuning and troubleshooting - Demonstrate an ownership mentality: driving projects end-to-end - Display empathy towards developer experience NICE-TO-HAVE - Prior experience working on developer tools - Solid knowledge of cloud infrastructure (AWS, GCP or Azure) and containerization (Docker, Kubernetes) - Direct experience designing and operating large file upload/download pipelines at scale - Deep, practical CDN integration and optimization knowledge - Experience with image and video processing tools (sharp, dssim, ffmpeg), formats and codecs (AVIF, WebM, Brotli) is a plus - Experience with the frontend ecosystem (Next.js, React, etc) is a plus WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a Data API Engineer to join our Data API Team and help improve the feature set, reliability and performance of our Data API, based on the PostgREST project. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Work on PostgREST’s PostgreSQL driver (based on Hasql) and remove bottlenecks and improve it’s performance. - Work on PostgREST development of new features and bug fixes, aligned towards the goal of a multitenant Data API. - Resolve incidents and escalated support issues, while also improving observability and performance. - Collaborate cross-functionally with other teams to debug and solve integration issues with the Supabase platform. YOU MIGHT BE A GOOD FIT IF YOU - Strong Haskell skills with at least 3 years of experience. - Experience using the C language. - Solid knowledge of SQL and plpgsql scripting in PostgreSQL. - Strong track record of contributing to and engaging with open-source projects. Bonus points if you’ve maintained an open source project. - Strong experience with providing technical support to users with varying levels of technical expertise. - Experience with debugging applications under the Linux operating system. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $272,739 — $320,829 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: San Francisco Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses. We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more! A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration. QUALIFICATIONS - 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. - Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes. - Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development. - BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

In this Role, you'll get to: Be hands on - its one of the job’s fundamental task, and most of our development managers are writing and reviewing code, giving expert level coaching and guidance to their engineers. It's important to have a love of engineering and a passion for building things elegantly and at scale.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 — $172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

As a Solutions Engineer at Onebrief, you work where mission, engineering, and compliance meet. You'll own technical solution design and deployment readiness, translating customer requirements into secure, scalable deployment architectures.