Вакансии

Задачи: — Поиск новых каналов и возможностей для offline-размещений — Переговоры с подрядчиками и согласование условий сотрудничества — Подготовка рекламных креативов совместно с дизайнерами — Анализ эффективности размещений — Ведение отчетности по ключевым метрикам — Взаимодействие с маркетинговой командой для достижения KPI Требования: — Опыт работы Media Buyer — Понимание принципов работы offline media — Навыки работы с подрядчиками и оценки эффективности рекламных размещений Условия: — Удаленный формат работы — Оклад + КПИ — График - ПН-ПТ, 8 часов +1 час на обед

Location: Manila, Philippines On behalf of WorkforceTech Client #1 , SD Solutions is looking for a talented Professional Services Manager (combining Online and Offline aspects) to deliver exceptional customer onboarding and configuration support. You will meet clients on video calls to understand how their business operates and configure the system together with them in real time — acting as a trusted guide who keeps things clear, simple, and practical, even for non-technical users. At the same time, you will work behind the scenes on execution: receiving clear requirements and ensuring the system is configured accurately, completely, and ready to use before the customer logs in. Your goal is straightforward: When the interaction ends (whether live call or backend task), the customer’s account is fully usable for daily operations — nothing half-done. Your work prevents rework, confusion, and customer frustration. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Lead live onboarding and training sessions with customers via video calls (Zoom / Google Meet), understand their business workflows, and configure the system in real time Configure Connecteam based on provided requirements (both live and offline): time clocks & attendance rules, schedules & shifts, PTO & payroll policies, forms, checklists, permissions, groups & roles Build and set up schedules, rules, forms, templates, and policies Upload and manage employee data accurately (via Excel/CSV imports, data migrations from other systems) Assist customers with data transitions (e.g., importing schedules from Excel) Perform QA and thorough review of setups before go-live; identify blockers and missing inputs early Advise customers on best practices to ensure successful adoption Clearly document everything configured and any remaining action items Coordinate closely with Customer Success, Online/Offline teams, and other departments for smooth handoffs and follow-ups Ensure the customer’s account is fully ready for daily operations immediately after onboarding Requirements: 1+ year of experience in SaaS onboarding, implementation, professional services, technical support, or back-office configuration (required) Strong technical aptitude and exceptional attention to detail Native or near-native English level with excellent presentation and communication skills Confidence working directly with customers (often non-technical frontline managers) Ability to break down complex requirements into clear, actionable steps Highly organized, consistent, and reliable Fast learner, very tech-savvy, quick to master new tools and systems Comfortable working US hours (CST/EST time zone) – required for live calls Previous experience with SaaS configuration, operations, or back-office support – big plus Advantages: Connecteam platform (web + mobile, online/offline capabilities) Excel/CSV for data uploads Task & project management: Monday.com, Trello, etc. CRM: HubSpot (familiarity) Video conferencing: Zoom / Google Meet Documentation: Notion, Google Docs AI tools are encouraged and welcomed to boost efficiency About the company: A B2B SaaS platform that gives frontline businesses — restaurants, retail chains, cleaning companies, laundries — a single tool to manage their hourly workforce. Features span time clocks, shift scheduling, PTO policies, payroll exports, digital forms, checklists, and permission-based roles for both desktop and mobile use. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Tbilisi, Georgia On behalf of WorkforceTech Client #1 , SD Solutions is looking for a talented Professional Services Manager (combining Online and Offline aspects) to deliver exceptional customer onboarding and configuration support. You will meet clients on video calls to understand how their business operates and configure the system together with them in real time — acting as a trusted guide who keeps things clear, simple, and practical, even for non-technical users. At the same time, you will work behind the scenes on execution: receiving clear requirements and ensuring the system is configured accurately, completely, and ready to use before the customer logs in. Your goal is straightforward: When the interaction ends (whether live call or backend task), the customer’s account is fully usable for daily operations — nothing half-done. Your work prevents rework, confusion, and customer frustration. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Lead live onboarding and training sessions with customers via video calls (Zoom / Google Meet), understand their business workflows, and configure the system in real time Configure Connecteam based on provided requirements (both live and offline): time clocks & attendance rules, schedules & shifts, PTO & payroll policies, forms, checklists, permissions, groups & roles Build and set up schedules, rules, forms, templates, and policies Upload and manage employee data accurately (via Excel/CSV imports, data migrations from other systems) Assist customers with data transitions (e.g., importing schedules from Excel) Perform QA and thorough review of setups before go-live; identify blockers and missing inputs early Advise customers on best practices to ensure successful adoption Clearly document everything configured and any remaining action items Coordinate closely with Customer Success, Online/Offline teams, and other departments for smooth handoffs and follow-ups Ensure the customer’s account is fully ready for daily operations immediately after onboarding Working hours: 12 PM - 9 PM Tbilisi time Requirements: 1+ year of experience in SaaS onboarding, implementation, professional services, technical support, or back-office configuration (required) Strong technical aptitude and exceptional attention to detail Native or near-native English level with excellent presentation and communication skills Confidence working directly with customers (often non-technical frontline managers) Ability to break down complex requirements into clear, actionable steps Highly organized, consistent, and reliable Fast learner, very tech-savvy, quick to master new tools and systems Comfortable working US hours (CST/EST time zone) – required for live calls Previous experience with SaaS configuration, operations, or back-office support – big plus Shared Tools & Stack: Connecteam platform (web + mobile, online/offline capabilities) Excel/CSV for data uploads Task & project management: Monday.com, Trello, etc. CRM: HubSpot (familiarity) Video conferencing: Zoom / Google Meet Documentation: Notion, Google Docs AI tools are encouraged and welcomed to boost efficiency About the company: A B2B SaaS platform that gives frontline businesses — restaurants, retail chains, cleaning companies, laundries — a single tool to manage their hourly workforce. Features span time clocks, shift scheduling, PTO policies, payroll exports, digital forms, checklists, and permission-based roles for both desktop and mobile use. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Colombia; Argentina; Brazil On behalf of WorkforceTech Client #1 , SD Solutions is looking for a talented Professional Services Manager (combining Online and Offline aspects) to deliver exceptional customer onboarding and configuration support. You will meet clients on video calls to understand how their business operates and configure the system together with them in real time — acting as a trusted guide who keeps things clear, simple, and practical, even for non-technical users. At the same time, you will work behind the scenes on execution: receiving clear requirements and ensuring the system is configured accurately, completely, and ready to use before the customer logs in. Your goal is straightforward: When the interaction ends (whether live call or backend task), the customer’s account is fully usable for daily operations — nothing half-done. Your work prevents rework, confusion, and customer frustration. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Lead live onboarding and training sessions with customers via video calls (Zoom / Google Meet), understand their business workflows, and configure the system in real time Configure Connecteam based on provided requirements (both live and offline): time clocks & attendance rules, schedules & shifts, PTO & payroll policies, forms, checklists, permissions, groups & roles Build and set up schedules, rules, forms, templates, and policies Upload and manage employee data accurately (via Excel/CSV imports, data migrations from other systems) Assist customers with data transitions (e.g., importing schedules from Excel) Perform QA and thorough review of setups before go-live; identify blockers and missing inputs early Advise customers on best practices to ensure successful adoption Clearly document everything configured and any remaining action items Coordinate closely with Customer Success, Online/Offline teams, and other departments for smooth handoffs and follow-ups Ensure the customer’s account is fully ready for daily operations immediately after onboarding Requirements: 1+ year of experience in SaaS onboarding, implementation, professional services, technical support, or back-office configuration (required) Strong technical aptitude and exceptional attention to detail Native or near-native English level with excellent presentation and communication skills Confidence working directly with customers (often non-technical frontline managers) Ability to break down complex requirements into clear, actionable steps Highly organized, consistent, and reliable Fast learner, very tech-savvy, quick to master new tools and systems Comfortable working US hours (CST/EST time zone) – required for live calls Previous experience with SaaS configuration, operations, or back-office support – big plus Shared Tools & Stack: Connecteam platform (web + mobile, online/offline capabilities) Excel/CSV for data uploads Task & project management: Monday.com, Trello, etc. CRM: HubSpot (familiarity) Video conferencing: Zoom / Google Meet Documentation: Notion, Google Docs AI tools are encouraged and welcomed to boost efficiency About the company: A B2B SaaS platform that gives frontline businesses — restaurants, retail chains, cleaning companies, laundries — a single tool to manage their hourly workforce. Features span time clocks, shift scheduling, PTO policies, payroll exports, digital forms, checklists, and permission-based roles for both desktop and mobile use. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Helsinki; Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. The Voodoo Ad-Network is an autonomous product group of around 60 highly driven professionals with an ambitious mission: building top-tier ad network services. Our primary goal is to leverage Voodoo's massive first-party data ecosystem to optimize and scale monetization. We are in a rapid growth phase, expanding into new ventures such as opening to external inventory, penetrating the external advertiser market, and driving social network monetization following our recent acquisition of BeReal. To support this incredible trajectory and promising early results, we are scaling our team. The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration. This role can be either Paris or Helsinki based and done in a hybrid setup. ROLE We're looking for a Senior ML Engineer to join our Models team. You will be joining a dedicated squad of Data Engineers, Data Scientists, and ML Engineers focused on building and maintaining the ML training infrastructure that powers our ad-targeting models from data preprocessing through model deployment to production monitoring. In this role, you will be leading the following topics: - Architectural Ownership: Take end-to-end ownership of highly visible projects from ideation to production release. This includes feature scoping, timeline estimation, architecture design, and benchmarking new technologies. - Pipeline Engineering: Build and maintain quality data and ML pipelines to align with ever-evolving business and machine learning needs. Optimize training pipelines for performance, memory efficiency, and cost (e.g. spot instance strategies, efficient data loading, preprocessed artifact reuse). - Data Scientists Enablement: Enable Data Scientists to iterate faster by providing reusable, well-tested pipeline components (transformers, dataloaders, training utilities) and reviewing their contributions to shared code. Extend dataset capabilities: integrating new data sources, scaling feature windows, and increasing training data volumes without breaking pipeline constraints. - Deep Learning Development: Contribute to deep learning development: GPU workload orchestration, custom PyTorch training loops, and model architecture support. - ML Lifecycle & Reproducibility: Maintain reproducibility and consistency across the ML lifecycle: versioned configs, experiment tracking, and online-offline consistency tooling. - Scalability & Reliability: Collaborate with infrastructure teams on scalability — node pools, resource monitoring, CI/CD migrations. Participate in weekly rotation to triage and resolve alerts from Airflow, dbt, and related systems. - Agile Collaboration: Thrive in a fast-paced agile environment with rapid decision-making processes. You will collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers. - Mentorship & Team Culture: You will actively contribute to our engineering culture, share knowledge, and ensure every team member feels comfortable, supported, and empowered to grow in their role. PROFILE We are looking for a Senior ML Engineer who deeply understands both the ML training lifecycle and the specific challenges of putting machine learning models into production at scale. - 5+ years minimum of experience as an ML Engineer or a similar role - End-to-End ML Ownership: Problem framing, baselines, experimentation, deployment, and iteration - Python Proficiency: Extensive knowledge for ML pipeline code: preprocessing, training/evaluation workflows, experiment utilities, and reproducible configs - Training Mechanics: Comfortable implementing training mechanics where needed (custom steps/metrics, dataloading patterns, performance-conscious preprocessing), not only notebook-level prototyping - ML Frameworks: Practical experience training and evaluating models with scikit-learn, LightGBM, PyTorch for deep learning - Performance Optimization: Experience optimizing memory usage during data preprocessing and model training - Experiment Management: Hyperparameter tuning, experiment tracking, and reproducible training (configs, seeds, versioning) - Cloud & Infrastructure: Experience with Amazon Web Services. Familiarity with scalability, reliability, and security topics - ML Production Awareness: Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc.) - Model Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus - Excellent communication skills in English OUR STACK Python · Scikit-learn · LightGBM · PyTorch · DBT · Spark · MLflow · Prometheus · Terraform · Airflow · Kubernetes · Amazon Web Services BENEFITS - Excellent benefits that will depend on the country you're based in

Location: Ikoyi, Nigeria About Renmoney Renmoney is a leading Nigerian fintech dedicated to making financial inclusion a reality for millions of under-banked individuals and small business owners. We deliver innovative loan, savings, and fixed deposit solutions, striving to be the most convenient lending company with outstanding customer experiences. Join our passionate team to build simple, accessible financial products that empower emerging and middle-class customers, including informal entrepreneurs. Role Purpose As the Senior Product Manager for Offline Lending, you will own the vision, strategy, and end-to-end delivery of personal and self-employed loan products in Nigeria’s offline market. You’ll drive Renmoney’s mission of financial inclusion by creating customer-centric credit solutions for under-served segments, such as micro-entrepreneurs and salaried workers, through offline channels like field agents and branches. Balancing strategic leadership with hands-on execution, you’ll translate market insights and field intelligence into impactful products that grow Renmoney’s offline lending portfolio. Key Responsibilities Product Strategy & Vision: Define and own the product roadmap for offline personal and self-employed loans, aligning with Renmoney’s goal of accessible finance. Identify market opportunities and competitive differentiators for under-banked segments, crafting a compelling strategy to drive portfolio growth. Customer-Centric Design: Act as the voice of the customer by conducting field research (interviews, focus groups, surveys) to understand borrower needs, especially for informal entrepreneurs. Collaborate with UX and operations teams to design intuitive, compliant loan products. Product Lifecycle Management: Lead the product development cycle from ideation to launch and optimization. Draft requirements, prioritize features, and drive Agile execution, iterating based on performance data and customer feedback. Cross-Functional Collaboration: Partner with Engineering, Credit/Risk, Operations, Marketing, and Finance to deliver scalable, compliant products. Align features with Nigeria’s regulatory requirements and Renmoney’s risk policies. Sales & Field Partnership: Work closely with sales and field teams to translate on-the-ground insights into product enhancements. Support customer acquisition and agent training to ensure product-market fit. Data-Driven Decisions: Define and track KPIs (e.g., loan approval rate, portfolio yield, repayment rates, customer acquisition cost). Use analytics to optimize products and report performance to stakeholders. Agile Execution: Drive Agile processes (sprint planning, stand-ups, retrospectives), manage the product backlog, and remove blockers. Balance strategic planning with hands-on sprint deliverables. Leadership & Mentorship: Mentor junior product managers and lead a product delivery squad, fostering collaboration, innovation, and accountability. Qualifications 5+ years of product management experience, with 3+ years in lending or financial services, ideally in offline or branch-based channels. Proven track record of delivering and scaling lending products in complex markets, preferably for under-banked segments (e.g., SMEs, micro-entrepreneurs). Bachelor’s degree in Business, Finance, Computer Science, or related field; MBA or advanced degree is a plus. Deep understanding of Nigeria’s credit ecosystem, offline lending landscape, and alternative credit data for informal borrowers. Expertise in Agile/Scrum methodologies, backlog management, and analytics tools (e.g., SQL, Excel). Strong analytical skills to break down complex problems and make data-driven decisions. Excellent communication and leadership to align cross-functional teams and influence without formal authority. Familiarity with sales/CRM platforms (e.g., Salesforce) to drive adoption. Passionate about financial inclusion, customer advocacy, and innovation. Proactive, detail-oriented, and thrives in a fast-paced fintech environment. Requirements A passionate and experienced product leader with a minimum of 5 years in financial services product management, ideally focused on lending products. A strategic thinker with a deep understanding of lending products, market dynamics, and regulatory requirements in the Nigerian financial landscape (MBA or advanced degree a plus). A data whiz with a knack for translating insights into actionable product strategies. A natural collaborator with excellent communication and interpersonal skills to build strong relationships across teams. A customer champion with a dedication to delivering exceptional loan experiences for both salaried workers and self-employed individuals. Adept in product management tools and software. Benefits Make an Impact: Drive affordable credit solutions that transform lives for under-banked Nigerians. Grow with Us: Join a dynamic fintech with opportunities to lead, innovate, and shape the future of lending. Collaborative Culture: Work with a passionate, diverse team that values your ideas and celebrates excellence. Innovate Boldly: Leverage data and technology to challenge the status quo in Nigeria’s financial services

Talablar: — SMM'da kamida 1 yillik tajriba; — To'liq kun ishlay olish; — Intiluvchan, tashabbuskor bo'lish; — Matn bilan ishlay olish (kopirayting); — Kompaniyaga foyda olib keladigan kontentlar qilish. Ish vaqti: 6/1, 09:00 dan 18:00 gacha. Ish turi: Offline. Murojaat uchun: @islam_bv https://t.me/islam_bv

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the team ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning. As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes: Feature creation, exploration, and serving Data storage, availability, and visibility Offline backfilling infrastructure and platform improvements This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals. We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company. What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Base Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the team ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning. As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes: Feature creation, exploration, and serving Data storage, availability, and visibility Offline backfilling infrastructure and platform improvements This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals. We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company. What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $225,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: New York City, NY Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible-first workforce. Don't live near our New York office? No worries: you can work remotely from anywhere on the US East Coast (Eastern Time). The Ads Foundational Representations (AFR) team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas: Multimodal & Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. Contextual and Behavioral Relevance - Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance. Knowledge Graph Embeddings - Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights. User Intent Modeling - Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc. LLM-based Representations - Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization. As a Staff ML Engineer , you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution. Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation). Responsibilities Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high. Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads. Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models. Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. Building data processing and inference pipelines for the models we develop. Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments. Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management. Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance. Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. Required Qualifications: 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models. Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority. Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing. Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them. Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers. Familiarity with the Ads domain and/or Search/Recommender systems. Experience with mainstream DL frameworks: PyTorch or TensorFlow. Preferred Qualifications: Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP) Tech leadership experience: mentoring junior engineers and leading complex projects. Hands-on experience with using/fine-tuning/building LLMs. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Almaty, Kazakhstan Workplace: hybrid We are seeking an Admissions Specialist to deliver the inVision U student recruitment strategy in Almaty, Kazakhstan (hybrid). Reporting to the Director of Student Recruitment, the role guides applicants through the admissions funnel from first contact to enrollment, organizes recruitment events and supports relationships with partner schools and education centers. The Admissions Specialist is responsible for meeting assigned targets for the number and quality of applications, conversion and service to applicants and their parents. Key Responsibilities Guide applicants through the admissions funnel: advise on programs, grant terms and selection stages, and support them through application and enrollment. Manage applications and leads in the CRM: qualify and process them on time, keep statuses and data up to date, and re-engage applicants with incomplete applications. Organize and run online and offline recruitment events, including open days, webinars, school visits and education fairs. Maintain and develop relationships with assigned schools, colleges, education centers and school counselors. Coordinate selection stages: schedule exams and interviews, communicate with candidates, and collect and check documents. Prepare regular reports on the funnel and assigned KPIs, analyze conversion by channel and suggest improvements. Prepare and update applicant communications (email and messenger campaigns, FAQs, response templates) together with the marketing team. Follow internal policies, standards and admissions campaign deadlines, and ensure a high-quality applicant experience. Collect documents in line with the requirements of the partner university. Process requests for Financial Aid distribution for students admitted to the university’s programs. Skills, Knowledge and Expertise Education: Bachelor’s degree or above in education, marketing, management, social sciences or a related field Experience: 2–3+ years in student admissions, education recruitment, sales or advising in education, or customer service Knowledge and skills: Understanding of the admissions funnel and key metrics (leads, applications, stage-by-stage conversion) Google Workspace and Microsoft Office (spreadsheets, basic data analysis) Advising and negotiating with applicants and parents Event organization: planning, logistics, delivery and evaluation of results Strong written and verbal communication Basic knowledge of digital marketing and communication automation tools (email campaigns, messengers, forms) Preparation of reports and presentations Regulatory and ethical requirements for handling applicants’ personal data Languages: Kazakh, Russian and English (all required) Key Competencies Customer focus and empathy for applicants and their families Strong communication and public speaking skills Responsibility, attention to detail and results orientation Self-organization and time management: handles a high volume of tasks during peak periods Teamwork and cross-department collaboration Initiative and proactivity in improving processes Flexibility and adaptability in a fast-growing organization Willingness to learn and openness to feedback

Zадачи: — Mobilografiya va video suratga olish bo‘yicha ishlarni bajarish. Tребования: — Mobilografiya va video suratga olish bo‘yicha tajriba; — Kreativ fikrlash va zamonaviy trendlarni tushunish; — Video montaj dasturlarida ishlash ko‘nikmasi; — Mas’uliyatlilik va kreativlik; — Portfolio mavjudligi. Условия: — Ish vaqti: 09:00-18:00, 6/1; — Ish turi: Offline; — Maosh: 4-6 mln (suhbat asosida); — Manzil: Toshkent shahri.

• Kelib tushayotgan lidlar (potensial mijozlar) bilan ishlash, kompaniya obyektlari (kvartiralar,noturar joylar ) bo'yicha to'liq va professional taqdimotlar o'tkazish;

Location: Hybrid; In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Locations: Austin, Lisbon, San Francisco, NYC, or London About the Role Search is being rebuilt around AI. People increasingly get answers from AI instead of a list of links, agents run dozens of searches to answer a single question, and more than half of the traffic reaching sites on Cloudflare is now automated . Search is shifting from a destination to a utility, and Cloudflare is building the search layer for this agentic Internet. Agentic Search at Cloudflare gives agents everything they need to find information, whether it lives in a customer’s own data or on the open web. It spans two products: AI Search for internal data, and Web Search API for the open web. AI Search (internal data), now generally available , is the search primitive for applications and agents . It is a fully managed indexing and retrieval pipeline built on Workers AI , Vectorize , R2 , and Browser Run . Developers connect a website or R2 bucket, or upload their own files, and query them with natural language through a Workers binding, REST API, or MCP server. Under the hood: continuous indexing, hybrid vector and keyword retrieval, reranking, metadata filtering, native multimodal (image) embeddings, and OCR for scanned documents. We use it to power search on our own blog and developer docs. Web Search API (external data), now in open beta , gives agents real-time web context with a single API call. It runs on AI Gateway , so every search gets the same logging, analytics, billing, and access controls as model inference. Developers can choose from multiple search providers and always get results back in one normalized format. Your mission in this role is to make Cloudflare the default place developers and agents go to search, across both their own data and the open web, and eventually in a single call. You’ll also help build a search ecosystem that works for AI companies, site owners, and creators alike. What You’ll Do Talk directly with developers, AI companies, publishers, and customers every day. Own the strategy, roadmap, and execution for Agentic Search (AI Search and Web Search API), from ingestion and indexing through retrieval, ranking, and answer generation. Define and measure what “good search” means, including relevance, freshness, latency, and cost, and build the evals that improve it with every release. Scale AI Search for the workloads that matter most, like multi-tenant platforms, enterprise agents, and website search, with support for billions of documents, rich media, and built-in observability. Take Web Search API and shape what comes next: provider partnerships, search and page extraction in one call, blending web and private data, Own pricing and packaging, and make our products first-class for agents through MCP, agent-friendly APIs, and templates like NLWeb . Partner with engineering, ML, and product teams across Workers AI , Vectorize , AI Gateway , Browser Run , and AI Crawl Control , as well as Marketing, DevRel, BD, Sales, and Support. Represent Cloudflare at conferences, community events, and customer and partner meetings. Examples of Desirable Skills, Knowledge, and Experience Proven experience as a PM, EM, or founder shipping search, information retrieval, data infrastructure, or developer platform products. You’ve led teams to ship before and can point to impact. Deep understanding of how search works end to end: crawling, indexing, chunking, embeddings, hybrid retrieval (BM25 + vector), query rewriting, reranking, and retrieval-augmented generation (RAG). You understand the tradeoffs between relevance, freshness, latency, and cost. Experience defining and measuring search quality, including offline evals, relevance judgments, metrics like recall, MRR, and NDCG, and online experimentation. Fluency in the modern AI ecosystem: LLMs, text and multimodal embedding models, agents, tool calling, and MCP. You’ve built with them yourself and know where they break. Hands-on ability to write code and use AI and the Internet to learn new things fast. You’ve built a RAG pipeline or an agent that searches the web, and you have opinions about what made it good or bad. Deep empathy for developers and understanding of their workflows, pain points, and how they adopt new tools and platforms. Understanding of the web publishing ecosystem: crawlers, bots, SEO and answer engine optimization (AEO), and the changing economics of AI search for content creators. Comfortable working where technology, business, and policy meet. Experience with usage-based pricing, two-sided marketplaces, or partner and business development relationships, including build-vs-partner decisions, is a plus. Exceptional communication and collaboration skills. You can translate between ML research, infrastructure engineering, and business stakeholders, and align diverse teams on goals. Passion for design details and polish. You raise the bar for sweating the details. External presentation skills. You can walk into a room of developers or AI company leaders and build trust and credibility. Compensation Compensation may be adjusted depending on work location. For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000 For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000 For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Talablar: — Python, Vibe Coding, Yolo, Opencv, Transformers-deffusion Architecture bo'yicha bilim; — Ishga mas'uliya bilan yondasish; — Deadline ga amal qilish; — Tajirba va o'sishga ochiqlik. Ish holati: 8:30-17:00, offline, Farg'ona, qo'qon. Murojaat uchun: +998 97 691 91 91, https://t.me/Otabek_rizayev

Задачи: — Повышение качества RAG-агентов по трём направлениям: поиск по технической документации, нормативной базе, бухгалтерской документации; — Промпт-инжиниринг и контекст-инжиниринг для всех агентов команды; — Подготовка эталонных наборов оценки качества; — Реализация LLM-as-a-judge для автоматических регрессионных проверок; — Настройка защит для production-агентов: фильтры от инъекций в промпт, валидация структуры и контента выходов, защита от утечек персональных данных, anti-hallucination механизмы; — A/B-тестирование промптов и моделей для подбора лучших конфигураций; — Тюнинг качества по сигналам обратной связи пользователей и трассировкам из Langfuse. Требования: — Python от 2 лет коммерческой разработки; — Практический опыт RAG-систем в продакшене: эмбеддинги, векторные базы (Qdrant, FAISS или pgvector), переранжирование, чанкинг; — Опыт построения и поддержки как минимум одного RAG-решения от начала до конца, не прототип; — Практический опыт оценки качества LLM-систем: подготовка эталонных наборов, offline-метрики, LLM-as-judge, регрессионные проверки; — Опыт работы с фреймворками оценки (Ragas, DeepEval или аналоги); — Практический опыт настройки защит для LLM-приложений: защита от инъекций в промпт, валидация структуры и контента выходов, защита от утечек персональных данных; — Опыт промпт-инжиниринга и контекст-инжиниринга в реальных проектах: итеративная настройка промптов, structured output, function calling; — Понимание архитектуры RAG: стратегии нарезки документов, метаданные, выбор моделей эмбеддингов, переранжирование, точность ссылок на источник; — Практический опыт работы хотя бы с одним LLM-фреймворком: LangChain, LangGraph, PydanticAI, OpenAI API или аналоги; — Практический опыт A/B-тестирования промптов и моделей в продакшене; — Опыт работы с агентскими протоколами (MCP) или собственным tool-layer для агентов; — SQL и работа с реляционными базами на базовом уровне.

Responsibilities: — Join the New Products team at Fundraise Up as a Senior Product Manager. — Two positions available: Senior Product Manager Peer-to-Peer and Senior Product Manager In-Person Giving. — Peer-to-Peer role involves supporting fundraisers for causes such as charity runs and galas. — In-Person Giving role focuses on accepting donations offline at events, venues, and on devices. More details available on LinkedIn post. Work format: Remote positions available for candidates located in Poland, Portugal, Spain, Serbia, Turkey, and Cyprus.

Location: South Africa HR Talent & Performance Coordinator Are you an organized, detail-oriented HR professional with a passion for talent acquisition, performance management, and people strategy? Do you enjoy building efficient recruitment processes, enhancing the candidate and employee experience, and helping people grow and do their best work? If so, Codekeeper offers an opportunity to make a meaningful impact. We are looking for a proactive and ownership-driven individual to drive recruitment, coordinate our performance management cycle, and support HR operations. You will play a key role in running goal-setting and review processes, supporting managers in giving meaningful feedback, and turning performance insights into development opportunities for our team. Along the way, you’ll refine processes, drive continuous improvement, and help us attract, develop, and retain top talent. The ideal candidate is eager to grow within the role, contribute to cross-functional projects, and bring fresh ideas to strengthen our evolving HR practices. We are accepting applications over the next two months and will close the position as soon as we find the right fit, so we encourage early applications. Role Description The HR Talent & Performance Coordinator will be responsible for managing the overall Human Resources (HR) strategies, systems, tactics, and procedures across Codekeeper. They will oversee recruitment activities, including sourcing, attracting, screening, interviewing, and assessing potential candidates, and onboarding new employees. They will also coordinate the performance management cycle, including goal-setting, performance reviews, and feedback processes, and work with managers to support employee development, recognize strong performance, and address performance concerns constructively. Key Responsibilities Recruiting Source, post, and optimize job openings on various platforms Design and manage application and screening processes according to company policies Expand recruitment reach and improve candidate engagement Screening & Interviewing Collaborate with department managers to define role requirements Conduct initial screening calls and evaluate candidates based on established criteria Offer Management Present job offers to successful candidates, detailing position terms, remuneration, and benefits Performance Management Coordinate performance management processes, including goal-setting, reviews, and feedback Support managers and employees throughout the performance cycle Help identify development needs and support employee growth Process Optimization Explore new platforms, tools, and strategies to enhance recruitment and performance processes Document procedures and workflows in the relevant HR folders HR Management Develop, structure, and document HR procedures aligned with company policies Manage onboarding processes to ensure a seamless transition for new hires Employee Relations Organize three online team gatherings and one offline team event per year to foster engagement and a strong company culture About the Company Codekeeper was founded by tech industry professionals to revolutionize software escrow for the cloud era. We offer state-of-the-art software escrow solutions that mitigate third-party risks in business operations. As a remote-first company with a central office in The Hague, we prioritize a healthy, resilient organization to support the development of our robust app. What We Offer Passionate and fun-loving colleagues Startup mindset with ample opportunities for growth Regular team activities and gatherings Comprehensive onboarding process with a dedicated ramp-up period A supportive team that values open communication and direct feedback A chance to excel in your career and make a difference Skills We Are Looking For Proficiency in English, both written and verbal Ability to adapt and multitask in a fast-paced environment Strong organizational, analytical, and strategic thinking skills Required Experience Professional Experience: A minimum of 1–2 years in a similar HR or recruitment role Background in recruitment, with experience in screening, interviewing, and assessing candidates Experience in performance coaching, training and development Additional Info Job Location: Remote Join us to shape the future of software escrow! How To Apply To apply, use the Apply button on this listing. In your application, tell us how you would like to fill this position. There are no right answers or expectations. Show us your role in our company’s future and our role in yours, address some of the work we do, and introduce yourself as a colleague. Please note: Applications and follow-ups sent through any other channel, such as our customer website chat, support email or direct messages to team members, won’t be considered. Need an accessibility adjustment to apply? Visit Our Careers Page for how to reach us.