Задачи:
— Слежение за распределением трафика и контроль платежных маршрутов
— Ежедневный мониторинг состояния балансов на платежных шлюзах
— Мониторинг платежной конверсии по разным маршрутам
— Выявление отклонений и мгновенное инициирование действий для их решения
— Анализ распределения трафика с учетом комиссий платежных систем (оценка экономики)
— Принятие решений по оптимальной стратегии и прямое обращение к техническим специалистам для перестройки роутинга
— Расчет финансовых условий и оценка P&L по разным платежным методам
— Работа с транзакционными данными, поиск точек роста для снижения расходов на процессинг
— Доработка логики и визуализации существующих аналитических инструментов, проактивное предложение улучшений
— Подготовка аналитических отчетов по запросу бизнеса, презентация результатов стейкхолдерам и контроль внедрения решений
Требования:
— SQL: Уровень Middle/Middle+. Умение самостоятельно работать с данными, проверять качество и корректность расчетов
— Excel: Продвинутый уровень
— BI инструменты: Коммерческий опыт работы с Tableau
— Python: Базовый уровень для исследовательского анализа данных и ETL-процессов
— Domain Knowledge: Понимание финансовых операций (P&L, комиссии, балансы) и работы платежных систем
— Опыт работы в режиме многозадачности
— Умение взять поле работы и вести его самому, четкость и аккуратность
— Свободный Русский язык
Условия:
— Работа из офиса в Белграде (Сербия)
— Full-time, полная занятость
— Гибкое начало рабочего дня (с 08:00 до 10:00), работа по производственному календарю Кипра
— Официальное трудоустройство по ТК Сербии (компания помогает с оформлением)
— Отпуск: 20 рабочих дней + 4 дня off от компании
— Больничный: оплачивается 100%
— Питание в офисе предоставляется
— Компенсация курсов изучения сербского языка
— Предоставляется вся необходимая техника для работы
Location: Remote - European Region
Workplace: hybrid
Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks.
Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not.
Responsibilities
Own the product strategy and roadmap for an institutional crypto infrastructure business, working closely with the Founder and leadership team.
Act as a strong product and market counterpart to the Founder: challenge assumptions, develop independent points of view, and support product decisions with market evidence, customer insights, and data.
Identify opportunities, move fast to test them, launch what works, skip what doesn't
Lead products from 0→1 — from identifying the market problem and defining the proposition through MVP, first customers, commercial launch, and iteration.
Translate complex technical infrastructure into products that solve real institutional customer needs and have a clear commercial model.
Make informed product and architecture trade-offs involving technologies such as MPC, multi-signature, HSM, private key management, and blockchain infrastructure.
Develop a strong understanding of the competitive landscape across custody technology providers, regulated custodians, prime brokers, liquidity providers, and institutional trading infrastructure.
Own the commercial side of product decisions, including pricing, revenue models, unit economics, market sizing, and business cases for new products.
Work closely with enterprise customers and commercial teams to understand institutional requirements, validate product-market fit, and support complex sales and integration cycles.
Incorporate regulatory and compliance requirements into product architecture, workflows, customer experience, operating models, and go-to-market strategy.
Build the initial product team and operating model, including hiring the first key team members, defining responsibilities, and establishing effective product processes.
Partner closely with Engineering, Compliance, Sales, Operations, and other functions to take products from concept to production and commercial adoption.
Define product KPIs and use customer, market, product, and commercial data to evaluate performance and prioritize investment.
Requirements
Market + tech depth (Strong general product management experience without relevant domain depth will not be sufficient)
Experience in senior B2B product roles, with significant experience in fintech, digital assets, or crypto infrastructure.
Deep knowledge of the institutional crypto market and its underlying technology. Strong general product management experience without relevant domain depth will not be sufficient.
Demonstrated experience personally building at least one product from 0→1, from an initial market problem or idea through launch, customer adoption, and/or revenue.
Deep expertise in at least one of the following areas:
Digital asset custody and private key management
Liquidity management and prime brokerage
Blockchain payment infrastructure
Tokenization and settlement
Strong understanding of institutional crypto infrastructure and the differences between technology providers, regulated custodians, prime brokers, liquidity providers, and trading technology platforms.
Technical fluency sufficient to discuss architecture and product trade-offs around MPC, multi-signature, HSM, wallet infrastructure, and private key management with senior engineers and technical leadership.
Experience building B2B products for institutional or enterprise customers, including complex integrations and long enterprise sales cycles.
Hands-on experience operating in a regulated environment where regulatory or compliance requirements materially influenced product decisions.
Familiarity with relevant regulatory frameworks such as MiCA, DORA, the Travel Rule, VQF, PCI DSS, or comparable frameworks.
Experience building a product team or new product function from scratch, ideally including hiring the first 3–5 team members and establishing the initial operating model.
Strong commercial mindset with hands-on experience in pricing, revenue models, unit economics, market sizing, and product monetization.
Ability to combine technical understanding, customer insight, market knowledge, and commercial data to make clear product decisions.
Comfortable operating with a high degree of ownership and ambiguity in a founder-led environment.
Strong communication and stakeholder management skills, with the confidence to challenge senior stakeholders and defend a point of view with evidence.
Why join CryptoProcessing by Coinspaid
You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact.
At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so.
We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work.
Flexible Benefits
Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses.
Work & Flexibility
Fully remote work from almost anywhere
Optional offices and relocation support
Flexible, async-friendly environment
Growth & Learning
Budget for courses, certifications, and professional development
Language learning support
Cross-team learning and knowledge sharing
Wellbeing & Support
Medical insurance or reimbursement depending on location
Access to mental health support
Financial support for important life events
Extras
Merch shop with rewards system
Team offsites and company events
Sounds good? Well then, we can’t wait to see your resume!
To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/
Location: United Kingdom, London
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.
Role overview
We are seeking a Senior Localisation Quality Engineer, a highly skilled and innovative individual who brings together design-phase product thinking, software engineering expertise, localisation awareness, and technical problem solving.
The role builds on the core responsibilities of a Senior Localisation QA Engineer, combining strong localization quality expertise with software engineering, automation, and earlier involvement in the product design and development lifecycle.
This role is ideal for someone who has worked closely with design teams in Figma, has experience reviewing and validating designs before implementation, understands how localisation impacts product and UI design, and can build scalable technical solutions to improve quality across the product lifecycle. You will partner with design, engineering, product, and localisation teams to identify risks early, improve design quality and localisation readiness, and create tools, systems, and solutions that enable faster and smarter delivery.
Rather than focusing only on post-implementation testing, this role emphasises early engagement in the design phase, including reviewing Figma files, prototypes, design systems, user flows, and content structures to ensure they are scalable, testable, and ready for localisation across languages and regions. You will also contribute as a hands-on engineer, building software, automation, integrations, and AI-driven solutions such as agents, assistants, or plugins that improve workflows, validation, and quality decision-making.
The ideal candidate combines strong software development skills, experience working with design systems and Figma-based workflows, practical understanding of localisation and internationalisation, and hands-on interest in engineering solutions to product and quality challenges.
Responsibilities
Design Systems, Figma & Early Product Quality
- Partner with designers, product managers, engineers, and the wider Localisation team to help identify localisation risks early in the design phase.
- Support the Localisation team by reviewing Figma designs and providing technical and design expertise to improve localisation readiness before implementation.
- Help the Localisation team identify and address design risks such as text expansion, truncation, layout issues, bidirectional languages, locale-aware components, and cross-market scalability.
- .Build and improve tools, automation, and processes that enable Localisation QA to identify issues earlier and at scale, including automated design and content validation, screenshot capture, localisation readiness checks, and quality validation across languages and regions.
- Work with the wider Localisation team to define best practices and guidance that help designers and engineers create products that are ready for localisation from the start.
- Collaborate with design teams on design systems, UI patterns, and content structures to improve quality and reduce downstream issues before code is written.
- Help define quality expectations, localisation considerations, and implementation guidance directly from design artefacts and product requirements.
Localisation Quality & Testing
- Perform hands-on Localisation QA testing across multiple languages, platforms, products, and regions, including linguistic, functional, visual, and internationalisation testing.
- Lead and support complex localisation quality initiatives, while contributing directly to day-to-day testing when needed.
- Develop and improve localisation test strategies covering linguistic, functional, visual, and internationalisation quality.
- Investigate complex localisation and internationalisation issues and work with engineering, design, product, and localisation teams to identify root causes and appropriate solutions.
- Help define localisation quality standards and ensure localisation considerations are integrated throughout the product development lifecycle, from design through implementation and release.
Software Engineering & Technical Solutions
- Design and develop software, internal tools, automation, and reusable services that improve product quality, design validation, and workflow efficiency.
- Build scalable software solutions that support validation of product experiences across design, development, and release stages.
- Contribute to codebases, frameworks, and technical infrastructure that improve quality signals, design consistency, and localisation support.
- Partner with software engineers to improve feature readiness, system testability, and quality-by-design practices.
- Integrate validation and quality workflows into modern development environments and CI/CD pipelines where appropriate.
Automation, Tooling & Process Improvement
- Identify opportunities to reduce manual work and improve localisation and product quality across design, engineering, and localisation workflows.
- Design and build tools, automation, integrations, or other technical solutions that help teams review designs, validate content, detect issues, and improve workflows.
- Choose the right technical approach for each problem, which may include traditional automation, scripts, plugins, APIs, AI/LLMs, or existing internal tools.
- Develop solutions that help identify localisation and quality issues earlier in the product lifecycle and provide faster feedback to teams.
- Prototype and test new approaches, measure their value, and develop successful solutions so they can be used by the wider Localisation team and potentially other teams.
Cross-Functional Leadership
- Act as a bridge across design, engineering, product, and localisation teams, helping align quality, scalability, and user experience goals.
- Communicate clearly with both technical and non-technical stakeholders, translating complex issues into actionable recommendations.
- Influence teams toward a shift-left, design-led quality approach.
- Contribute to planning, design reviews, implementation discussions, and release readiness with a focus on preventing issues early.
- Provide technical guidance and mentorship to members of the Localisation team, sharing engineering, automation, localisation, and quality best practices.
- Promote a culture of innovation, technical excellence, and continuous improvement.
Qualifications
Education
BS/BA in Computer Science, Engineering, Human-Computer Interaction, Design Technology, or a related field, or equivalent practical experience.
Experience
- 5+ years of experience in software engineering, design technology, quality engineering, localisation engineering, or related product development roles.
- Strong hands-on experience in software development, with the ability to build tools, systems, integrations, or automation that solve real product challenges.
- Experience working closely with design teams and Figma workflows, including reviewing designs, prototypes, component systems, and user journeys before implementation.
- Experience validating or testing Figma designs for quality, scalability, localisation readiness, and implementation feasibility.
- Practical understanding of localisation and internationalisation principles in digital products.
- Experience with localisation quality or testing across multilingual products, platforms, or regions.
- Strong programming skills in one or more languages such as Python, JavaScript, TypeScript, or Java.
- Hands-on experience building or experimenting with AI agents, plugins, copilots, or intelligent workflow tools.
- Experience with APIs, structured data, system integrations, and modern software development practices.
- Familiarity with developer collaboration tools such as GitHub, JIRA, and Confluence.
- Strong understanding of product development lifecycle, Agile methodologies, and cross-functional delivery models.
Soft Skills
Excellent written and verbal communication skills.
Strong product thinking and problem-solving ability.
Comfortable operating across design, engineering, product, and localisation domains.
Self-motivated, adaptable, and effective in a fast-paced environment.
Strong organisational and stakeholder management skills.
Desired qualifications
Experience with Figma design systems, component libraries, and design-to-development workflows.
Experience creating or contributing to Figma plugins, design validation tools, or workflow extensions.
Experience building AI agents, assistants, or plugins for design, engineering, content, or localisation use cases.
Experience influencing product quality earlier in the lifecycle through design review and engineering collaboration.
Familiarity with multilingual product development, translation workflows, or international launch readiness.
Experience in video games, consumer technology, digital entertainment, or large-scale product environments.
Fluency in one or more non-English languages is a plus.
What We Offer
The opportunity to shape next-generation quality, localisation, and design-to-development practices.
A dynamic and inclusive workplace where technical excellence, collaboration, and global impact thrive.
Competitive compensation, performance bonuses, and comprehensive benefits.
Career growth opportunities in a forward-looking engineering environment focused on quality, localisation, automation, intelligent systems, and early product excellence.
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 (where applicable) 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.
Location: Portugal
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who we're looking for:
AI Consultant to help enterprises identify, design, and launch high-value AI agents with measurable outcomes. Sitting at the intersection of business consulting, AI strategy, and solution design, you'll be a trusted advisor to our customers — driving their AI strategies, creating AI adoption roadmaps, and designing AI agent concepts and specifications. You'll collaborate cross-functionally with AI engineers, product, solution engineering, sales, and customer success teams to ensure agents are deployed, scaled, and delivering high ROI to our customers' businesses.
The role is based in Portugal.
Key Responsibilities:
Collaborate with customers to develop AI adoption roadmaps and identify potential opportunities for AI use cases.
Gain a deep understanding of each customer's domain and business processes to prioritize the most impactful AI use cases, based on business impact and technical feasibility.
Translate business problems and opportunities into solution concepts, requirements, and implementation proposals, with success metrics and guardrails.
Design AI agent solutions and redesign workflows around them — removing repetitive work, unlocking new possibilities.
Define how AI agents integrate with enterprise systems — CRM, ERP, SaaS applications, APIs, MCPs, workflows.
Prepare agent specifications and solution documentation that enable delivery teams to implement successfully.
Collaborate with Sales, Customer Success, Product, and Delivery teams across pre-sales, implementation, and adoption.
Support customer presentations and executive discussions around AI strategy.
Stay up to date with emerging AI technologies, agentic AI trends, and industry best practices.
Required Skills & Competencies:
Strong skills in business analysis, process design, value mapping, and discovery.
Familiarity with modern LLMs, AI agent architecture, and business process automation; comfort with APIs and integrations.
Experience in Solution Consulting, AI Consulting, Solution Implementation, Business Consulting, or a similar customer-facing role.
Hands-on experience designing or launching AI-powered solutions or AI agents.
Experience translating business requirements into solution designs.
Experience working with enterprise customers and multiple stakeholders.
Excellent executive communication and presentation skills.
Strong analytical and systems thinking.
Excellent spoken and written English.
What to expect from us:
Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
DomainTools is looking for a Principal Product Manager to join its Product team. This role is responsible for growing and refining data products that drive threat intelligence solutions, with API-first delivery and integration into UI, AI, and third-party experiences and workflows. It is a strategic role with high impact and visibility inside and outside the company.
The ideal candidate is a strong leader and successful product manager with a track record of delivering market-leading data products, based on insights from direct customer interaction and big-data analysis.
The product manager is expected to contribute solid knowledge of business constraints and prioritize opportunities, deep knowledge of users and customers, and understanding of platforms customers use to engage with products. They must track industry trends and competitive landscape relevant to their products.
The product manager collaborates closely with engineering, marketing, sales, and solutions engineering teams to deliver world-class solutions. This is an individual contributor role requiring influence through data and logic.
Basic Qualifications:
— Minimum 7 years in cybersecurity or data-related product management, delivering data-driven analytics and products
— Deep knowledge of business and customers, understanding data product usage and value
— Experience with threat intelligence products, threat feeds, APIs, and related technologies
— Experience interacting with customers using data warehousing, data science, and Big Data technologies
— Experience integrating data products into third-party environments (customer and partner ecosystems)
— Experience working with Agile (kanban/scrum) development teams and processes
— Excellent people skills working cross-functionally from ideation to market
— Excellent writing, communication, and presentation skills
— US-based with willingness to accommodate core hours overlapping 9am-3pm US Pacific time
Preferred Qualifications:
— Experience in cybersecurity investigations, threat defense, incident response, or related activities
— Solid understanding of cybersecurity market and modern security architectures
— Familiarity with cybersecurity data domains including DNS, IP, TLS/SSL certificates, web crawl, BGP, NetFlow data
— Experience with real-time data collection, processing, and delivery
— Experience with large language models (LLMs) and agentic workflows
— Experience with data products leveraging predictive analytics / machine learning (ML)
— Experience with distributed systems and cloud computing
Your Purpose
At Bitso, the Software Engineer on the Nexus Squad owns the reliability, scalability, and evolution of our mission-critical pay-in and pay-out systems, the financial backbone that moves billions of dollars worldwide.
You will design and deliver event-driven, high-throughput solutions that ensure every pay-in and pay-out is fast, accurate, and resilient.
Working closely with product, infrastructure, and compliance stakeholders, you will shape the technical direction of a domain where the bar for quality is exceptionally high, resilience is built through continuous learning, and every millisecond of performance matters — for the millions of retail users and the businesses that rely on Bitso to power their financial operations.
Reports To
This role reports to the Nexus Engineering Manager.
Who You Are
You are experienced in Java backend development, with a proven track record of shipping production systems at scale.
You are familiar with event-driven architecture patterns (event sourcing, CQRS, sagas) and have hands-on experience operating Apache Kafka in high-throughput, real-money environments.
You have designed and implemented distributed, fault-tolerant microservices that handle financial or similarly critical transactional data.
You have solid experience with relational databases (PostgreSQL preferred), including schema design, migrations, and query optimization.
You are comfortable with cloud-native infrastructure (AWS, GCP, or equivalent), containerization (Docker, Kubernetes), and CI/CD pipelines.
You communicate complex technical concepts clearly in English, written and spoken, to engineering peers, product managers, and senior leadership.
You work with a high degree of autonomy and ownership — you identify problems, propose solutions, and see them through to production.
You are familiar with AI-assisted development flow and tools (Cursor, Claude, CodeRabbit).
You have a strong sense of urgency and are comfortable operating in a fast-paced, high-stakes fintech environment.
Financial Domain (nice to have):
Familiarity with payment rails, reconciliation or idempotent transaction processing in financial systems is a strong plus.
What You Will Do
Own pay-in and pay-out systems: design, build, and maintain the core infrastructure that processes financial transactions and moves billions of dollars worldwide.
Architect event-driven solutions: design Kafka-based pipelines and workflows that guarantee correctness, ordering, and resilience at scale.
Drive technical decisions: lead architecture discussions, define and use patterns, and set standards for the pay-in and pay-out domain in collaboration with the Nexus team.
Deliver high-quality code: write clean, well-tested, high-performance Java code and champion engineering best practices through code reviews.
Embrace AI-assisted development: leverage tools like Cursor, Claude, and CodeRabbit as part of your everyday workflow, contribute to skills and guardrails development, and apply Spec-Driven Development (SDD) practices to ensure solutions are well-defined, reviewable, and aligned before implementation begins.
Ensure system reliability: proactively monitor, debug, and resolve production incidents with a focus on root-cause analysis and lasting fixes.
Collaborate cross-functionally: partner with Product, Compliance, and Finance stakeholders to translate complex business requirements into sound technical solutions.
Mentor and uplift: share knowledge with fellow engineers, contribute to internal tech talks, and foster a culture of continuous improvement within the squad.
Improve observability: instrument services with comprehensive metrics, logs, and traces to enable rapid diagnosis and confident deployments.
Research
in Diversity, Equity, and Inclusion suggests that individuals may hesitate to apply for jobs if they do not meet all the listed criteria. At Bitso, we value diversity and your unique strengths could be just what we're looking for. If this role excites you but you don't match every point in the description, we still want to hear from you.
Location: Karachi, Pakistan; Lahore, Pakistan; Islamabad, Pakistan
Top 3 Reasons To Join Us
Competitive Salary
International Environment
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do
Design, implement and maintain new features and functionalities for the SAAS platform, understanding the requirements of insurance businesses and translating them into scalable and efficient software solutions
Work on both the front-end and back-end of the application, demonstrating expertise in various technologies, frameworks, and programming languages
Work collaboratively with product, design, engineering teams, and UX designers to understand end-user requirements, use cases, and technical concepts, translating them into a cohesive and effective solution while ensuring a seamless user experience.
Optimize the performance of the application to handle large amounts of data and high user traffic, delivering a smooth user experience
Participate in code reviews and enforce best coding practices, while also writing and executing unit tests and integration tests to maintain code quality
Investigate and promptly fix bugs to maintain the reliability of the platform
Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations in handling sensitive customer data
Stay up-to-date with the latest technologies, frameworks, and best practices to ensure we remain competitive and innovative
Design the platform with scalability and flexibility in mind, accommodating new features and changes as the number of clients and users grows
Provide mentorship to junior developers, aiding in their technical growth and effective contribution to the team's goals
What We Need
Proven experience 6 years as a Full Stack Engineer, working on complex SAAS applications
Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker
Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js
Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications
Experience with microservices and/or clean architecture
Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code
Experience with unit, integration and function testing using front-end and back-end testing libraries
Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains
In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations
Demonstrated experience in performance optimization for high-traffic web applications
Experience with container technologies like docker and good understanding of cloud infrastructure and solutions.
Experience with agile development methodologies and collaborating with cross-functional teams
Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing
Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds
A passion for staying updated with the latest trends, technologies, and best practices in software development
Why You'll Love Working Here
Competitive renumeration package
International Environment
15 days annual leave, 10 sick leaves, special leaves
Annual Performance Bonus
Stock Options after 6 months
Company activities and events
Learning and development plan
CoverGo Company
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Privacy Notice
and you consent to the processing of your data as part of this application.
Location: United States, San Diego, CA
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. Product Manager
San Diego OR Los Angeles, CA
The Commerce Platform team is focused on Commerce & Monetization as part of Product Data & Strategy at PlayStation. We are responsible for building and scaling products, to enable capabilities for monetizing content, goods and services in the PlayStation ecosystem (i.e. PS5, PS4, Web, PS App and PS Portal). The Commerce Platform team launches new features and capabilities to improve player engagement, enhance various commerce experiences while driving value to our players and PlayStation.
Responsibilities:
Define product vision and strategies, using domain expertise, identifying market opportunities and addressing customer needs.
Orchestrate competitive analysis, market, and user research to define user journey and satisfaction metrics to champion the Voice of the Customer.
Manage stakeholder commitments, align business and technical needs, turn data and insights into actionable delivery and outcomes with ruthless prioritization.
Collaborate with design and engineering teams to build best-in-class solutions, balancing long-term platform needs and short-term optimizations.
Build positive relationships with other product managers, business stakeholders and finance, legal and tax business partners.
Partner with legal and compliance teams to create a customer-centric, compliant and optimized experiences.
Support go-to-market planning and execution. Understand and communicate effectively how your product is used in market.
Partner with data teams to set effective measurement frameworks all along products’ lifecycle. Ensure features are backed by relevant metrics, and that success is measured on an ongoing basis.
Be a champion of PlayStation's cultural values –leveraging creativity to drive innovation and collaboration at all levels leveraging the Product Model not Project Model product manager mindset.
Requirements:
Bachelor’s Degree in a business or technical field or equivalent experience.
5+ years of demonstrated experience in product management.
Experience in managing e-commerce products, with deep knowledge of key consumer journeys (pricing, offers, cart, order, checkout, hardware trade-ins, payment, post-purchase, media content delivery).
Experience in e-commerce required and experience in gaming preferred.
Demonstrable experience developing long-term, multi-year product strategies, and product roadmaps.
Ability to operate in a global matrixed environment
Sufficient technical acumen to dive deep with UX design and engineering teams.
Excellent presentation skills and ability to communicate effectively with a variety of stakeholders.
Consistent track record in thinking strategically, working collaboratively and leading the delivery of complex and highly impactful projects.
Strong analytical abilities and data-driven decision-making, with proven attention to detail.
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.
$154,800
—
$232,200 USD
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 (where applicable) 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.
Location: New York, New York, United States
About the Role
iCapital is looking to hire a Data Engineering Senior Vice President, to lead the evolution of the enterprise data platform that powers AI, automation, analytics, and data-driven decision making across the firm while positioning proprietary data as a strategic business asset. This role is responsible for defining and executing the architectural vision, roadmap, and operating model for a modern, AI-ready data ecosystem built on a strong foundation of cloud technologies and established engineering capabilities. The position will provide leadership across platform architecture, engineering standards, and cross-functional alignment while overseeing the development of scalable data products, semantic layer capabilities, and future AI enablement initiatives. Partnering closely with an engaged executive steering committee, this individual will play a critical role in shaping how data supports the firm's long-term growth and innovation strategy.
Responsibilities
Define and own iCapital's enterprise data architecture, including the Snowflake platform, semantic layer, reusable data products, and AI-ready ecosystem.
Establish standards for data engineering, governance, security, observability, quality, and documentation.
Own platform reliability, SLAs, DataOps practices, and incident management.
Lead architectural strategy, tooling decisions, and platform investment recommendations.
Develop and execute the multi-year Data Engineering roadmap aligned to business and AI priorities.
Translate enterprise data strategy into prioritized engineering initiatives and platform capabilities.
Build business cases for platform investments and proactively address technical debt and future scalability needs.
Partner with business and technology leaders to deliver data products that support enterprise objectives.
Communicate platform progress, risks, and investment decisions to executive stakeholders.
Build and lead a high-performing Data Engineering organization and culture.
Qualifications
12+ years of experience in data engineering, including 5+ years leading large-scale engineering organizations across multiple functions
Proven track record designing, building, and operating enterprise-scale cloud data platforms (Snowflake, Databricks, or equivalent), including architecture, security, governance, and cost optimization
Deep expertise establishing data engineering best practices across pipeline design, data quality, observability, data contracts, documentation, and operational support
Demonstrated success developing multi-year platform strategies, securing investment, prioritizing initiatives, and delivering measurable business outcomes
Experience partnering with and presenting to executive stakeholders within regulated industries, translating complex technical concepts into business impact
Hands-on experience with analytics engineering, semantic layer development, and modern data transformation frameworks such as dbt
Financial services experience within asset management, wealth management, fintech, banking, or insurance, including knowledge of regulated data environments and governance requirements
Deep expertise in Snowflake architecture, performance optimization, security, and data sharing at enterprise scale
Knowledge of alternative investments, wealth management, fund administration, or related financial services domains
Experience building AI- and ML-enabled data platforms, including semantic layers, feature stores, model-serving infrastructure, or LLM-integrated architectures
Experience with Informatica or comparable enterprise data catalog, metadata management, and MDM platforms
Proven success scaling data engineering organizations through periods of rapid growth, including organizational design, hiring, and leadership development
Benefits
The base salary range for this role is $200,000 to $250,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Remote
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Senior Client Success Manager to join our Client Success team. This role will report to the Director of Client Success (large market). The Senior Client Success Manager plays a critical role in driving engagement, satisfaction, and retention across a high-volume large market book of business (1,000–4,999 lives). As the primary owner of day-to-day client and broker relationships, this role ensures clients realize ongoing value from Garner while proactively identifying risks and opportunities across the portfolio. By combining strong relationship management with disciplined execution and cross-functional partnership, this role directly impacts client success and long-term retention.
Where you will work:
Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ.
Ability to travel up to 25% of the time.
What you will do:
Own and manage large market client and broker relationships across a high-volume book of business (25-30 accounts), ensuring a consistently high-quality client experience.
Deliver an exceptional client experience by executing key workflows, monitoring account health, and proactively addressing risks.
Track and analyze client success KPIs, translating insights into action plans that drive engagement and retention.
Develop and execute engagement plans aligned to client goals, ensuring timely delivery of all initiatives and commitments. Assume full ownership of all engagement-related KPIs.
Manage multiple concurrent client projects with strong attention to detail, maintaining clear timelines, priorities, and deliverables.
Collaborate cross-functionally with Strategic Account Management, Sales, and Concierge (Member Services) to meet client needs, triage issues, and achieve engagement goals.
Lead client meetings and communications with key stakeholders and broker partners, providing education, insights, and actionable recommendations.
Represent the company in virtual and in-person client-facing sessions (up to 25% travel). Develop and deliver high-quality client reports, presentations, and educational sessions.
The ideal candidate has:
5+ years of experience managing a large, high-performing B2B book of business, with a proven track record of driving engagement, client satisfaction, and NRR; preferably in the healthcare and benefits industry.
Demonstrated client management expertise, including ownership of executive relationships and day-to-day account management, as well as navigating complex client and broker stakeholder environments.
Exceptional project management and organizational skills, with the ability to manage competing priorities and execute with precision and strong attention to detail.
Data-driven mindset, leveraging KPIs and client insights to proactively identify risks, optimize engagement, and drive measurable ROI.
Strong executive presence and communication skills (both written and presentation), with a proactive, solutions-oriented approach and a passion for delivering an outstanding client experience in a fast-paced environment.
Possesses a proven track record of curiosity and independent problem-solving, both when navigating client challenges and collaborating cross-functionally with internal teams.
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The salary range for this position is $120,000 - $140,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York, NY, United States
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow — from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets.
Overview
As a Senior Mobile Engineer, you'll contribute to a multi-platform app built on Kotlin Multiplatform, shipping features across Android, iOS, and additional targets from a shared codebase. You'll own complex work end-to-end, write code that sets the quality bar for the team, and help shape architecture decisions in a fast-moving product environment. Our engineering strategy centers on KMP and Compose Multiplatform to deliver high-quality, consistent experiences across platforms — and the engineers who build it are expected to help keep that bar high.
Responsibilities
Build and ship production-quality features across Android and shared KMP layers, taking ownership from design through deployment with minimal oversight
Implement features across core product domains — connecting Compose Multiplatform UI to shared business logic through clean MVI state management
Contribute to a layered, multi-module architecture, respecting module boundaries and shared platform contracts
Partner with shared platform teams to implement against declared interfaces, keeping app-specific logic cleanly separated from shared platform concerns
Collaborate with product, design, and QA to deliver reliable, pixel-accurate experiences across multiple platform targets
Write testable, well-structured Kotlin leveraging coroutines, flows, KSP-based codegen, and dependency injection patterns consistent with the team's standards
Conduct thorough code reviews, maintaining module boundary discipline and build system conventions
Participate in the on-call rotation, helping diagnose and resolve issues across platforms
Mentor junior engineers and contribute to a culture of continuous learning on the team
Experience and Skills
5+ years of experience building scalable, consumer-facing Android applications with strong command of MVI architecture
Strong Kotlin proficiency — coroutines, flows, idioms, and best practices — with the ability to apply and share these effectively across the team
Experience with Kotlin Multiplatform — comfortable developing and scaling shared business logic in a multi-module KMP codebase
Hands-on experience with Compose or Compose Multiplatform, building design-system-compliant UI across platform targets
Proficiency in Gradle multi-module projects, including convention plugins and dependency management
Experience with CI/CD pipelines and automated mobile testing practices
Comfortable working across shared platform and library boundaries — implementing against declared interfaces without leaking platform-specific logic into shared modules
Clear communicator able to articulate technical decisions to peers, product, and design stakeholders
Agile/SCRUM experience with a track record of consistent, quality delivery
Team-first mentality with a drive to raise the bar continuously
Bonus
Compose Multiplatform experience across Android, iOS, desktop, and wasm targets
Experience with KSP-based codegen and Koin or similar DI in a KMP environment
Familiarity with feature flag systems and mobile observability tooling
Experience with backend services, distributed systems and event-driven architectures
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-Remote
#LI-AL1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$152,000
—
$200,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches. You’ll play a key role in scaling our global infrastructure footprint across the United States market.
Travel: This position may require on-site presence at data centers during key deployment phases.
Your responsibilities will include:
Lead end-to-end delivery of new data center programs, from design through handover to operations.
Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution.
Translate business and technical requirements into actionable project plans and measurable deliverables.
Oversee vendor and contractor execution, ensuring quality, budget, and schedule.
Provide structured program reporting, including dashboards, documentation, and executive updates.
Technical Scope & Expectations
This role requires hands-on experience with physical infrastructure delivery, not only software or coordination-based program management.
You should be comfortable working across multiple layers of infrastructure, including:
Data center environments: understanding of IT infrastructure readiness (power, cooling, space, and networking dependencies before hardware installation);
Compute infrastructure: experience with large-scale server deployments (GPU-based systems are a strong plus);
Networking: familiarity with high-bandwidth fabrics (e.g., InfiniBand or equivalent), cabling, and integration dependencies;
Commissioning & bring-up: exposure to system validation, burn-in testing, and readiness criteria before handover to operations.
You are not expected to be an engineer, but you should be able to:
Engage in technical discussions confidently.
Identify risks related to infrastructure readiness and sequencing.
Challenge assumptions and drive resolution across engineering teams.
We expect you to have:
7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments.
Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed.
Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments.
Communication and stakeholder management skills; able to translate complex topics clearly.
Leadership by influence and example in cross-functional or matrixed teams.
Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall).
It will be
an added bonus
if you have:
Understanding of construction projects structure and key risk factors in facility build-outs.
Knowledge of HPC
Experience in business processes design or automation tools development.
PMP, PRINCE2, or similar industry certifications.
Key Employee Benefits in the US:
Health Insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) Plan:
Up to 4% company match with immediate vesting.
Parental Leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote Work Reimbursement:
Up to $85/month for mobile and internet.
Disability & Life Insurance:
Company-paid short-term, long-term, and life insurance coverage.
Compensation
We offer competitive salaries ranging from $115K to $275K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades.
Join Nebius Today!
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Dublin
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey is building a best-in-class go-to-market engine, and we're looking for a GTM Systems Administrator to join the GTM Systems team and help scale the systems that power both our pipeline and our customer experience. You'll take on a variety of projects across the full GTM lifecycle, from how we source, enrich, and route leads at the top of the funnel to how we support and engage customers through Zendesk and our Customer Success platforms. This is not a traditional RevOps or Salesforce admin role: we expect this person to work AI-first, using AI tools and agents to build, automate, and maintain systems that would traditionally require engineering support or manual admin work. Reporting to the Head of GTM Systems, you'll partner closely with Sales, Marketing, Support, and Customer Success to translate business needs into scalable, reliable systems that directly drive revenue and retention outcomes.
WHAT YOU'LL DO
- Work across a variety of projects on the GTM Systems team, with some sprints focused on top-of-funnel growth and others on support and customer success tooling, flexing to where the business needs you most.
- Design and improve top-of-funnel systems including lead sourcing, enrichment, scoring, and routing, building enrichment workflows in Clay and across data providers (ZoomInfo, Cognism, Apollo, Clearbit, etc.) to power inbound and outbound pipeline.
- Configure and optimize Zendesk as Harvey's primary support platform (ticket routing, triggers, automations, macros, SLA policies, agent workspace) and support adjacent CS platforms like Catalyst.
- Contribute to Salesforce configuration across the funnel, including lead routing, scoring, lifecycle stages, and automation (Flows, validation rules, custom objects), and how data flows across Salesforce, marketing automation, support, and enrichment tools.
- Use AI as a default working method: build and maintain AI agents, automations, and workflows (AI triage, copilots, agent-based enrichment, LLM-powered data quality checks) to eliminate manual admin work and extend what the systems team can ship without engineering support.
- Integrate GTM and CS tools with Harvey's broader ecosystem (CRM, product data, internal tools, communication platforms) to ensure a unified view of the customer, and build reporting and dashboards that provide visibility into pipeline conversion, support performance, and customer health.
- Maintain high data quality and compliance through deduplication, normalization, enrichment governance, and consent/opt-out handling, and document system architecture, workflows, and processes so everything scales as the company grows.
WHAT YOU HAVE
- 4-8+ years of experience in GTM Systems, RevOps, Growth Ops, Support Ops, or similar roles.
- Strong proficiency in Salesforce (data modeling, Flows, lead routing, account hierarchy, reporting) plus hands-on experience administering Zendesk (routing, automations, triggers, SLA policies), or deep expertise in one with proven ability to ramp fast on the other.
- Hands-on experience with Clay and at least one major enrichment/data provider (ZoomInfo, Cognism, Apollo, Clearbit, etc.), and experience with marketing automation platforms (Marketo, HubSpot, or similar).
- Demonstrated AI fluency: you already use AI tools (Claude, ChatGPT, Clay AI, Zendesk AI, or similar) to build workflows, automate admin tasks, draft configurations, and troubleshoot, and you can point to concrete things you've shipped this way.
- Strong systems thinking, with the ability to design and debug end-to-end data flows across tools, spanning both reactive support workflows and proactive growth motions.
- A collaborative, team-first working style: comfortable operating in a pod, picking up varied projects, and working cross-functionally with Sales, Marketing, Support, Customer Success, and Operations. Highly organized and documentation-oriented, with a focus on scalable, maintainable systems.
BONUS
- Experience with Customer Success platforms (Gainsight, Catalyst) or Zendesk certification(s).
- Experience building integrations using APIs, webhooks, or iPaaS tools (Workato, Zapier, MuleSoft), or integrating GTM systems with data warehouses (Snowflake, BigQuery).
- Experience building or deploying AI agents in production (e.g., agentic prospecting, AI ticket triage, health-score automation)
- Working knowledge of SQL and/or scripting (Python, JavaScript) for data workflows.
- Background in high-growth or early-stage environments where systems are built from the ground up.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-SH1
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 City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.
Responsibilities:
Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system
Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review
Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting
Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls
Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform
Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts
You may be a good fit if you:
Bachelor’s degree in Computer Science, Software Engineering or comparable experience
Proficiency in Python, Distributed Systems, and Infrastructure as Code
Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic
Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers
Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
8+ years of experience in a software engineering position, not including internships
Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency
Have experience running LLM-based agents in production
Have experience with integrity, spam, fraud, or abuse detection and mitigation
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
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Location: Bremen, Germany
Supervisor:
Prof. Dr. Alexander Tormasov
About the Position
Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project.
Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called
gears
: requirements → architecture → product fit → framework (G1) → application → runtime. We are building a
World Model
over that pipeline — a model that does not just generate code, but predicts the
consequences
of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible.
The central object is not a digital twin of the application but its
formal architectural skeleton
: gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable
gap
. All of it is written in a
domain-specific language
whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose.
What you will work on
Depending on your background, one or two of:
Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories.
Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject.
DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1.
Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry.
Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples.
Profile
MSc (or equivalent) in computer science, mathematics, or a mathematical natural science.
Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say.
Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result.
Fluent technical English.
Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it.
Required mathematical background
Core skills:
Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here.
Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning.
Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes.
Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement.
Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search.
Strong command of at least one, working knowledge of a second:
Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it.
Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra.
Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer.
Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection.
Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics.
Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary.
Required hands-on programming skills
This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once.
Must have:
Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default.
Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility.
Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions.
Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle).
Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining.
Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files.
LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks.
Linux, git, code review, shell.
Desirable:
Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there.
JAX, or compiler / SAT-SMT internals.
Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry.
One systems language (Rust, Go or C++) for performance-critical search.
Prior experience with production software architecture, or with a brownfield system you had to change without breaking.
Funding
The appointment provides full financial coverage through a dedicated fellowship, comprising:
Monthly stipend of €1,650
Monthly research-cost allowance of €100 (Forschungskostenpauschale)
Health-insurance subsidy of €100 per month
Location:
Bremen, Germany
Duration:
3 years, full time
Start date:
November 2026
Application package must include
CV, including publications, code, or research projects.
Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project.
A link to code you have written.
A one-page research statement picking one open research question from the project and sketching how you would approach it.
Master’s and Bachelor’s degree certificate and transcripts.
Contact information for 2–3 academic referees.
Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.
Location: Limassol, Cyprus
Workplace: on-site
Mayflower
is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment.
Responsibilities
Design, develop and maintain data pipelines (python, SQL, Airflow, dbt, k8s, Spark)
Support data platform in terms of data integrations, data quality, technical implementation
Conduct new data integrations
Ensure data quality
Documenting your solutions
Provide support to analytic teams
Important/challenging tasks:
Develop a centralized Data Store.
Design and build resilient data transformation pipelines across multiple business domains.
Develop tools and frameworks for data transformation.
You’ll thrive here if you have
At least 3 years working as a data engineer
Python programming (outside of Airflow)
Working with docker
SQL advanced
Kafka, Airflow, Spark
dbt as a plus
Column store DBs (clickhouse as a plus)
S3/iceberg as a plus
Understanding how web applications work
Qualification that can be a plus:
Working with k8s (as a plus)
Experience with data-mesh approach
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
EU passport.
Opportunity to obtain an EU passport after 4 years of residence
Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
Private medical insurance for you and your family
Corporate mobile plan (unlimited in Cyprus with roaming included)
Mindfulness & well-being support, including psychological assistance with 50% coverage.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals
Professional growth support: language courses, conferences, training programs, and coaching.
Peer recognition program: receive and share kudos for great work.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.
seniorUnited Kingdom, London
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seniorUnited Kingdom - Remote; Must be located in the United Kingdom
leadNew York, New York, United States
УдалённоseniorГеография найма не уточнена
seniorNew York, NY, United States
УдалённоseniorRemote - United States; Travel: This position may require on-site presence at data centers during key deployment phases
ГибридDublin
New York City, NY; San Francisco, CA
Bremen, Germany
ОфисLimassol, Cyprus; EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family; Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free
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