Вакансии

Company Description SCAYLE Payments enables smooth and innovative payment processes in the ABOUT YOU online fashion store, including the introduction of new marketplace functionalities. As a subsidiary of ABOUT YOU Group and a Federal Financial Supervisory Authority (BaFin)-regulated Payment Services Supervision Act (ZAG) institute, SCAYLE Payments takes care of all important aspects of payment transactions: From the integration of payment service providers and payment methods at the Online-Fashion-Stores checkout to the deposit and payout processes of end customers and merchants. The team’s objective is to make payment transactions in e-commerce simpler, safer, and future-oriented. Job Description Own the design and delivery of scalable backend systems across the payment lifecycle (PHP 8.3) Drive architectural decisions and evolve systems towards scalable, event-driven and distributed designs Lead complex technical initiatives end-to-end, from discovery to production and iteration Champion engineering excellence through TDD, CI/CD, and continuous delivery practices Mentor and support other engineers through pairing, feedback, and knowledge sharing Proactively identify and address system, process, and scalability challenges Qualifications 6+ years of backend engineering experience, with strong expertise in PHP Proven track record of designing and scaling distributed systems in production environments Deep experience with APIs, data storage solutions (PostgreSQL, Redis), and messaging systems (Kafka, RabbitMQ, SQS) Strong understanding of cloud-native systems and infrastructure (e.g. Kubernetes, containerized environments) Solid architectural knowledge (microservices, event-driven, hexagonal) and ability to apply it pragmatically High ownership mindset with the ability to lead, mentor, and influence technical direction Additional Information Main Benefits Flexible working times 40% discount on our ABOUT YOU online shop Fresh fruits + drinks everywhere Language courses (German & English) Free sports courses & reduced price for Wellpass membership Subsidized public transportation ticket Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage Modern office in the city center of Hamburg International working environment and English as company language Agile work environment and cross-functional teams Dog-friendly office Professional training Company pension plan Help in relocation and VISA process (Benefits may vary depending on location)

Location: San Francisco; Palo Alto Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; Palo Alto Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco, CA | New York City, NY 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 As the VC Partnerships Lead at Anthropic, you will drive transformative growth and strategic alignment by forging and managing high-impact startup partnerships. You will drive the adoption of Anthropic's cutting-edge AI capabilities within the startup ecosystem. In this role, you will design and execute innovative programs that enable startups to easily access and utilize Anthropic's advanced AI models. Your goal will be to scale our reach and impact by engaging with startups directly and through the accelerator ecosystem. This is an individual contributor role with broad ownership — you'll operate with high autonomy, partnering closely with sales, marketing, and product teams to build and run our startup partnerships motion. Key responsibilities Develop and lead Anthropic's startup partnerships strategy, leveraging our AI technology and industry partnerships Build relationships with key VC firms, and entrepreneurial communities Create compelling startup-focused offerings, programs, and growth initiatives Cultivate strong relationships with current and new accelerator partnerships; build out relationship models, own touch points, and drive outcomes such that accelerator portfolio companies are choosing to build on Claude Plan and execute startup-focused events, campaigns, and promotions to drive awareness and adoption Gather product feedback and represent the needs of the startup community to inform Anthropic's product roadmap Track and report on key metrics to measure the success and ROI of startup initiatives Minimum qualifications Have 7+ years of experience in partnerships, founder/operator roles, growth, or technical GTM roles—we're looking for builders Have a deep understanding of the startup ecosystem and AI/ML technology landscape—can speak credibly about technical products to technical audiences Have built relationships with VCs, worked at a VC firm, or successfully partnered with accelerators to drive portfolio engagement Excel at 0-to-1 program building—comfortable building from scratch, wearing multiple hats, and scaling based on data Proven ability to develop and execute complex, cross-functional go-to-market programs Possess exceptional communication skills—outstanding writer who crafts narratives for founders, developers, and VCs Thrive in fast-paced environments with bias to action and comfort with ambiguity BA/BS degree or equivalent practical experience Preferred qualifications Founded a company or led product at a high-growth startup Direct experience working for or with venture capital firms like Y Combinator, Lightspeed Ventures, Accel, a16z, Sequoia Capital Technical background—former developer, PM with hands-on coding experience, or deep familiarity with AI/ML development workflows Developer advocate or developer relations background with active presence in technical communities Familiarity with large language models and their applications in generative AI Existing relationships with venture capital firms, startup accelerators, and entrepreneurial communities 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: $215,000 — $300,000 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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. This position is for a temporary engagement through our staffing partner Yoh Enterprise Solutions (Yoh).  The position is fully onsite in the Sorrento Valley. The anticipated duration of this engagement will vary. This is an entry level role and great for a recent grad! Game Testers at PlayStation for The Show are responsible for finding and replicating bugs/glitches and accurately reporting them to the developers. The ideal candidate is a passionate and driven gamer and baseball fan who dreams of playing it first! We are looking for individuals that are analytical thinkers, problem solvers, have excellent grammar, and want to contribute their talents and knowledge of Baseball to The Show team to help craft an exceptional entertainment experience. Quality Assurance is a great way to get into the Gaming Industry and possibly grow into other positions/fields. The Baseball Test Analyst is expected to support the PlayStation Studios QA department in all areas including: Responsibilities: Executing test plans on pre-release versions of software Assessing product functionality against official SIE quality standards Research and documenting product defects and violations Logging issues for development team review in concise written report formats Collaborating with other team members to ensure quality and accuracy in online games and functionality Utilize baseball knowledge to provide feedback that will help to improve the title for ardent fans of Major League Baseball and The Show Franchise Requirements: Must be at least 18 years of age A strong passion for and knowledge of Major League Baseball Excellent written and verbal communication (needs to be able to communicate bugs - how did you find them? What exact steps are needed to make it happen again?) Basic to intermediate understanding of networking setup and hardware, as well as how its principles and components apply to modern console, PC and mobile gaming / functionality Ability to work in both an individual and team environment Flexible schedule Preferred Experience: 1+ years of previous QA experience in a related field 4 year college degree At SIE, working with our partners, 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 individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $17.75 — $18 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: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in many broader domains. As a Staff Machine Learning Engineer at Riot, you’ll also dive into projects that focus on team cohesiveness and cross-team goals. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering. Riot Games is building the next generation of its ML Platform to support AI and machine learning systems across game development, player experiences, and internal tools. We’re looking for a Staff Machine Learning Engineer to help design and scale the infrastructure powering a wide range of ML workloads and evolving AI systems across Riot. The ML Platform team builds and operates the shared infrastructure behind Riot’s AI ecosystem, including model serving, orchestration, feature management, and deployment workflows. Our goal is to help teams across Riot move ML systems from experimentation into reliable production services quickly and confidently. As a Staff Machine Learning Engineer on the ML Platform team, you will architect systems for model deployment, observability, and lifecycle management while helping shape the long-term direction of Riot’s ML platform. You will apply modern MLOps practices to improve reliability, scalability, and developer experience for teams building AI-powered products across Riot. You will report to the Engineering Manager. Responsibilities: Design and operate AI & ML inference infrastructure, including deployment pipelines and CPU/GPU-aware orchestration Develop CI/CD workflows that enable rapid iteration and safe promotion from development to production Optimize infrastructure supporting varied model architectures, from foundation models to gradient boosted trees, for high throughput, low latency, and high availability Establish and evolve ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and rollback strategies Improve developer experience by reducing operational complexity and simplifying platform onboarding Influence long-term platform architecture and help shape technical direction across Riot’s ML ecosystem Collaborate with researchers and game teams to understand product needs and build reusable platform capabilities Use modern AI-assisted development tools and workflows thoughtfully to accelerate iteration, while maintaining engineering quality and reliability Required Qualifications: 6+ years of experience in engineering, with time spent on ML/AI, platform or infrastructure teams Experience operating inference platforms such as KServe and production ML infrastructure including Feast, Milvus, or similar open-source systems Experience with one or more inference serving frameworks, including NVIDIA Triton/Dynamo, TorchServe, or similar systems Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling Experience with CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management Experience building and operating services within distributed or service-oriented architectures Desired Qualifications: Experience building ML infrastructure within a real-time, or latency-sensitive environment Hands-on experience with optimizing ML & AI deployments (LLMs, diffusion models, etc.) for throughput, latency and reliability Familiarity with agentic workflows and orchestration frameworks for LLM-based systems Passion for player experience, game systems, or creative technology development For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote US What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote, US (West Coast) Compensation Range: $100,000-$125,000 base plus bonus and equity. This role may be eligible for on-call/call-in pay in addition to base pay *The initial training period for this position will be Monday-Friday. Following training, the work schedule is subject to change and may include weekend or a 4x10 shift, depending on business requirements* What You’ll Do: Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You’ll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyberattacks and will have daily opportunities to progress your analyst skillset and accelerate your career growth. The Huntress Security Operations Center is an elite team of individuals who wake up every day to combat threat actors. You will have daily opportunities to progress your analysis skills while being at the forefront of what’s happening in the wild. If you’re looking to accelerate your career and skills, this is the team for you! Responsibilities: Triage, investigate, and respond to alerts coming in from the Huntress platform. Perform tactical review of EDR telemetry, log sources, and forensic artifacts to determine the root cause of attacks, where possible, and provide remediations needed to remove the threat. Perform tactical malware analysis as part of investigating and triaging alerts. Investigate suspicious Microsoft M365 activity and provide remediations. Assist in escalations from the Product Support team for threat-related and SOC-relevant questions. Contribute to detection engineering creation and tuning efforts. Contribute to projects focused on driving better outcomes for our analysts and partners Contribute to our collaboratively mentored team (we're all here to make each other better!). What You Bring To The Team: 4+ years of experience in a SOC or Digital Forensics (DFIR) role Demonstrated experience with Windows, Linux, and MacOS as an attack surface Demonstrated experience with basic Threat Actor tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs) Demonstrated experience with static and dynamic malware analysis concepts Working knowledge of Windows Administration or Enterprise Domain Administration Active Directory, Group Policy, Domain Trusts, etc. Working knowledge of core networking concepts Common ports/protocols, NAT, Public/Private IPs, VLANs, etc. Working knowledge of web technologies and concepts Web servers/applications, OWASP top 10, etc. Effective communication skills, with the ability to explain complex events to less technical audiences, enabling effective cross-functional collaboration within the SOC and across departments Dedicated to prioritizing and addressing customer needs and concerns in all decision-making processes A strong sense of curiosity and a genuine excitement for learning Preferred Qualifications: Previous experience in an MSP/MSSP/MDR role Linux and MacOS investigative experience Experience with scripting languages (such as PowerShell, Python, Bash, PHP, JavaScript, or Ruby) Demonstrated experience on platforms such as HackTheBox, TryHackMe, Blue Team Labs Online, etc. Demonstrated experience with Cloud-based investigations such as M365, Azure, AWS, GCP, etc. Participation in cybersecurity competitions such as Capture the Flags, the Collegiate Cyber Defense Competition, etc. Familiarity with MSP tools such as RMMs What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: 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. Role Overview We are seeking a hands-on transformation leader to redesign and scale the end-to-end Quote-to-Cash process , with an initial focus on the journey from deal initiation through customer activation . You will lead cross-functional transformation initiatives that eliminate friction, standardize processes, strengthen governance, and embed automation across quoting, approvals, contracting, billing setup, and activation. The goal is to improve deal velocity, accuracy, predictability, and scalability as the business grows. This is a 0→1 and 1→n transformation role . You will assess the current state, define the target operating model and transformation roadmap, and drive implementation across processes, policies, systems, data, and ways of working. You will partner closely with Sales, Commercial Ops, Legal, Finance, GTM Ops, GTM Systems, Billing Engineering, and Billing Product . Responsibilities Lead the transformation of the end-to-end Quote-to-Cash lifecycle , initially focusing on deal initiation, structuring, approval, contracting, billing setup, and customer activation. Assess current-state processes, identify root causes of friction and rework, and define a scalable future-state operating model . Develop and execute a prioritized transformation roadmap spanning processes, policies, systems, data, controls, and organizational responsibilities . Redesign complex, fragmented, or manual workflows to improve speed, accuracy, automation, and the customer and seller experience. Define and implement policies, governance frameworks, approval authorities, and deal guardrails that enable scale without unnecessarily slowing the business. Partner with Sales and Commercial Ops to improve deal quality and enable first-time-right deal structuring. Collaborate with Legal and Finance to simplify approvals, standardize contract terms, and maintain appropriate commercial and financial controls. Work with GTM Systems to embed workflows, policies, data requirements, and controls into CRM, CPQ, contract management, and related tools. Partner with Billing Engineering and Billing Product to create a reliable and increasingly automated flow from order form to billing and customer activation. Standardize the handling of complex deal constructs, including usage-based pricing, multi-year agreements, ramp structures, prepayments, and custom commercial terms . Establish clear ownership, handoffs, and service expectations across teams involved in the Quote-to-Cash lifecycle. Develop playbooks, guidance, and change-management programs that drive adoption of new processes and tools. Establish transformation metrics and track improvements in cycle time, approval time, rework, policy adherence, billing accuracy, activation accuracy, and time-to-revenue . Lead cross-functional programs from design through implementation, adoption, and measurable business impact. What You Will Transform A fragmented deal lifecycle into a scalable, integrated Quote-to-Cash operating model . Manual and inconsistent processes into standardized, automated workflows . Reactive deal escalation into clear policies, decision rights, and approval frameworks . Disconnected order forms and billing setup into a reliable contract-to-billing-to-activation flow . Limited process visibility into measurable performance, clear accountability, and continuous improvement . Institutional knowledge into repeatable playbooks, system controls, and scalable operating practices . Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $134,000 — $167,000 USD 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: New York HQ; Santa Barbara, CA Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE As an Implementation Manager at Avoca, you'll own post-sales onboarding for our customers, serving as a hybrid of product expert, hands-on technical consultant, and project manager. You'll get into the technical details of home service companies, advising on integrations, AI prompt configurations, and product setup to ensure every implementation achieves client goals, hits time-to-value targets, and delivers an exceptional experience. This is a highly cross-functional, client-facing role. You'll partner closely with CS, Sales, Product, and Engineering while managing multiple implementations simultaneously, balancing hands-on execution with strategic guidance.   WHAT YOU’LL DO - Lead end-to-end implementations, owning project management, stakeholder communication, and client accountability from kickoff through go-live. - Gather and document client business requirements and translate them into clear technical specifications that achieve customer goals through product expertise and best practices. - Configure and iterate on prompting and workflows to drive call handling quality, conversion rates, and revenue impact. - Partner with Product and Engineering to stay current on new features and build repeatable implementation playbooks and scalable success frameworks. - Design and deliver tailored training and education on Avoca products to drive client proficiency and product adoption. - Lead testing efforts including configuration QA, client testing coordination, and issue triage and resolution to ensure high-quality deployments. - Provide go-live support by coordinating launch activities, monitoring production volume, and transitioning clients to post-launch teams seamlessly. - Advocate for product improvements that matter most to implementation clients. - Requires flexibility to travel to client sites.   WHAT YOU'LL BRING - 2-5 years working at B2B startups in software implementation, technical account management, solutions architecture, or technical customer success, or more than 4 years of overall experience. - Demonstrated fluency with APIs, webhooks, and integration patterns, including the ability to read and discuss payloads, auth models, and error handling. - Experience configuring prompting, workflow logic, and system integrations in AI, SaaS, or enterprise software contexts. - Strong project management skills with experience managing multiple concurrent software delivery projects for B2B clients. - Clear, direct communicator who can simplify complexity for both technical and non-technical audiences. - Self-motivated and comfortable operating in fast-moving, high-growth environments, with a track record of owning processes end-to-end.   WHO YOU ARE - Self-motivated, entrepreneurial, and comfortable operating in fast-moving, high-growth environments. - Thrives on owning processes end-to-end and balancing multiple initiatives simultaneously. - Autonomous, self-directed, and comfortable working with ambiguity. - A proactive and effective communicator. - Collaborative, organized, and efficient. - Eager to work in person at our NYC or Santa Barbara office full-time.   BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided Compensation: The expected base salary for this role is $130,000-$170,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Autonomy Engineer focused on SLAM & Navigation to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments. WHAT YOU'LL DO - Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces. - Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry. - Architect and maintain robust long-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across changing environments over time. - Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training. - Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories. - Deploy and benchmark spatial AI software directly on physical robot hardware, ensuring deterministic, ultra-low latency execution on edge compute. - Translate cutting-edge spatial AI research into production reality, continuously evaluating breakthroughs in geometric learning to guide our navigation roadmap. WHAT WE'RE LOOKING FOR - Deep expertise in classical SLAM and multi-view geometry, including extensive hands-on experience with state estimation, visual/LiDAR odometry, and multi-sensor fusion. - Experience handling backend map optimization and solving the unique structural challenges associated with long-term mapping in large or changing physical environments. - Practical experience applying modern ML to geometric problems, with exposure to utilizing or adapting newer foundation geometry models. - Proven ability to build scalable data pipelines or auto-labeling workflows tailored for geometric and spatial datasets. - Proficiency in C++ and Python, with a track record of writing clean, highly parallelized, production-grade algorithmic code. - Hands-on experience deploying navigation systems on physical hardware, with a deep understanding of the practical edge constraints of real-world robotics. - A research-to-production mindset, capable of tearing through the latest CVPR/ICRA papers and figuring out exactly how to make those models run with bulletproof reliability. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Agent Architecture: What primitives do we need to build agents that are steerable and verifiable, but also conversational and empathetic? How do we future-proof this as LLMs evolve? - Retrieval: How do we ground answers in a customer’s knowledge base? How do we use retrieved context conversationally, handling cases where the answer is unclear or needs clarification from the user? - Evals: How do we measure an agent’s quality? How do empower our customers to improve agent quality? - Voice: How do we make our chat agents “just work” over the phone? How do we deliver lifelike conversations at low latency? - Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See 𝜏-Bench https://sierra.ai/blog/benchmarking-ai-agents) - Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents? - Agent Development Lifecycle: How do we adapt traditional software development methodologies to accommodate AI agents’ non-deterministic behavior, natural language interactions, and reliance on large language models? (See Sierra’s ADLC https://sierra.ai/blog/agent-development-life-cycle) - Generative Agent Development: How do we accelerate agent creation using generative tools like Cursor and Claude Code? Can we build self-improving systems based on real-world interactions, customer-driven feedback, and self-play? WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO As a Software Engineer, Infrastructure at Sierra, you will be responsible for designing, building, and maintaining the core systems that make our AI platform possible. You’ll focus on making Sierra’s infrastructure secure, reliable, and scalable, enabling product teams to deliver with speed and confidence. - Ensure the reliability, scalability, and performance of our platform and LLM inference serving as we rapidly grow traffic. - Build and maintain cloud infrastructure using Terraform to ensure scalable, secure, and reproducible environments. - Create and maintain a self-serve infrastructure platform that enables the rest of engineering to deploy and operate services. - Own and evolve CI/CD pipelines and release management, enabling fast, reliable deployments for Sierra’s platform. - Architect and operate distributed systems that leverage distributed databases, retrieval systems, and ML models. - Develop and maintain core data serving abstractions along with authentication and security features (SSO, RBAC, authentication controls). - Navigate and integrate our stack with enterprise customer environments in scalable and maintainable ways. - Enhance observability tooling (metrics, logging, tracing) to provide deep visibility into platform health and performance. - Lead and participate in incident management, improving system resilience through proactive monitoring, root cause analysis, and postmortems. WHAT YOU’LL BRING - Strong software engineering background with 5–7+ years of hands-on development experience in highly technical products. - A strong inclination towards building automation, tooling, and platform, along with designing maintainable systems. - Proven experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform preferred). - Hands-on expertise in CI/CD systems, release management, and container orchestration (e.g., Docker, Kubernetes). - Experience with observability tools (Prometheus, Grafana, Datadog, OpenTelemetry, etc.). - Experience in incident response and operating distributed systems in production. - Degree in Computer Science or related field, or equivalent professional experience EVEN BETTER… - Production experience working with LLMs and machine learning models. - Background in distributed systems, running SaaS services at scale, and agentic architecture. - Familiarity with security and authentication protocols (OAuth, SSO, mTLS). - Previous experience in a fast-paced startup environment or platform/infra-focused team. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Remote Workplace: remote 🌎 About Us TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.  We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.   TeamSnap is looking for a Senior Product Designer who will craft experiences that connect parents, coaches and players to make youth sports more fun. You will partner closely with product and engineer partners to drive features from discovery through execution. You’ll play a key role in establishing consistency, ease of use and innovation across TeamSnap consumer experiences. What You'll Do: Design high-impact, consistent, and intuitive user experiences across platforms, considering market trends, customer feedback, and quantitative data. Conduct user research and leverage insights to define product requirements, using sketches, wireframes, and prototypes to guide the ideation process. Use a data-driven approach to tie design decisions to user research while balancing business goals and technical constraints. Partner closely with product managers and engineers to refine requirements, validate designs, and iterate based on feedback. Manage multiple priorities in a fast-paced environment, maintaining a sense of urgency while delivering high-quality designs. Shape, improve, and maintain the TeamSnap design system. Partner with marketing designers to ensure brand consistency across all digital products. What Will Set You Up for Success: 4+ years of experience as a product designer or a similar role, building digital products with increasing responsibility. Degree in design, human-computer interaction (HCI), or equivalent. Experience in web and app development. Bonus points if you have experience with both B2B and B2C software. An online portfolio that demonstrates the ability to turn high-level ideas and vision into a strong and unique UX and creative solutions with the success metrics to prove it. Expertise in using Figma and prototyping tools. Experience working in tight collaboration and influencing product, engineering, and marketing teams, with the ability to synthesize feedback and input from peers and stakeholders. Demonstrated ability to understand and discuss technical concepts and cost/benefit tradeoffs of different design solutions. Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here.   Compensation We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $145,000, inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location.    🖥 Location TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones. We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time. 🚀 Opportunities to Grow We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it. 🎩 Total Rewards Remote-first since 2009 Flexible PTO and parental leave 100% premium coverage of medical, dental, and vision for you and your family 401(k) to invest in your future $1,500 annual learning and development reimbursement Travel to all-company meetings and team events Generous home office allowance TeamSnap swag when you start, plus a $50 store credit on every work anniversary Monthly health and wellness reimbursement, and more TeamSnap Total Rewards 🏆  Award-winning Culture At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us. 🧡 Inclusion and Diversity Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued. Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer. AI Notice We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.

Location: London Workplace: Hybrid Why Technology at loveholidays? At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. The impact you'll have: As a Principal Engineer in the Boost team, you'll be part of a group of principal engineers who champion technical excellence. The team acts as an enabling function, not a delivery arm. You will embed in other teams to help them improve and work faster. You will be hands-on, leading by example, and coaching others to drive technical excellence and innovation across the company. Your success will be measured by how you help others succeed. Your responsibilities include: - Own the team's functional KPIs, defining the measurable outcomes that show our impact. - Help mission teams deliver faster, safer solutions by solving complex problems and training others to do the same. - Champion AI adoption, applying it to both engineering processes and solutions. - Coach our engineers, guiding their growth. - Build tools to make the Boost team more effective and improve platform governance. We are looking for a candidate with strong front-end skills. You will work across the various tech systems within our platform and be confident in your ability to quickly learn new technologies. We value an agile mindset, and a proven track record of delivery with teams. For a better understanding of our work, refer to some of our blog posts: - How loveholidays is solving the technical excellence paradox https://tech.loveholidays.com/how-loveholidays-is-solving-the-technical-excellence-paradox-933987956758 - Your AI Hates Your Prompts (And So Do You) https://tech.loveholidays.com/your-ai-hates-your-prompts-and-so-do-you-c05f59337b13 - Stop Chasing Ghost Errors: A Systematic Approach to Frontend Error Monitoring That Actually Works https://tech.loveholidays.com/stop-chasing-ghost-errors-a-systematic-approach-to-frontend-error-monitoring-that-actually-works-fe5e1c8790cc - Does website speed contribute to customers booking holidays online? https://tech.loveholidays.com/does-website-speed-contribute-to-customers-booking-holidays-online-f17bd696bc30 - Creating a Zero Surprises Culture https://tech.loveholidays.com/from-firefighting-to-foresight-a-new-culture-of-software-reliability-affcf565f9b3 Or our open source contributions: - github.com/loveholidays/ripley http://github.com/loveholidays/ripley - github.com/loveholidays/eval-kit https://github.com/loveholidays/eval-kit - github.com/loveholidays/po-test http://github.com/loveholidays/po-test - github.com/loveholidays/mcp-html-share http://github.com/loveholidays/mcp-html-share As part of our tech culture, we continuously improve our time to deliver, reduce errors, and generally leave things better than we found them. Your day to day: You will: - Embed in mission teams to solve hard tech problems, coaching engineers hands-on to instill our core engineering principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9. - Drive initiatives to apply AI to build better solutions and improve our engineering process. - Build tooling and processes to accelerate and enable our platform development. - Design and oversee impactful systems that run reliably at cloud scale. - Write and speak about our tech work to raise our engineering profile. Your skillset: - Experience with AI-powered feature development and leveraging AI tooling for software delivery, with enthusiasm for transforming how we build and deliver software. - Demonstrable history of working hands-on with engineering teams to solve complex technical challenges, building team capabilities and promoting sustainable practices. - Seasoned facilitator who excels at pairing with engineers, leading technical discussions, and helping teams navigate architectural decisions through practical, hands-on collaboration. - Ability to identify and scale successful technical patterns while connecting technical excellence to measurable business outcomes. - A track record of building and optimising scalable, high-performance websites. Perks of joining us: - Company pension contributions at 5%. - Individualised training budget for you to learn on the job and level yourself up. - Discounted holidays for you, your family and friends. - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. - Ability to buy and sell annual leave. - Cycle to work scheme, season ticket loan and eye care vouchers. At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey. The interview journey: 1. 1st stage interview with a member of our Talent Team 2. Introduction to loveholidays Engineering with our VP of Engineering (60 mins) 3. Presentation/Case Study with our VP and CTO (60 mins) 4. Technical interview with 2 of our Principal or Heads of Engineering (60 mins)

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. Affirm values security as being critical to the company’s continued success. Our mission is to cultivate a culture of security at Affirm, enabling the company to succeed in building honest financial products. The Security Risk Management team is evolving beyond traditional governance, risk, and compliance; we are building an engineering driven program that designs, automates, and scales the controls, workflows, and tooling that protect Affirm and our customers. The ideal candidate will design, develop, configure, and implement solutions to complex technical and business problems across the Security Third Party Program and the broader Security Risk Management program. They are equally comfortable shaping policy and shipping automation using modern tooling (Python, Cursor, Claude, and other agentic coding platforms) to replace manual GRC work with scalable, code-defined workflows. They will operate as a subject matter expert, interface with business and engineering stakeholders, and play a key role in transforming Security Risk Management from a compliance oriented function into a security engineering discipline. What You'll Do Lead and mature Affirm's Security Third Party Program, including the design, implementation, and continuous improvement of processes, controls, and operational workflows Build and maintain automation that replaces manual GRC tasks: intake, triage, evidence collection, control validation, tracking, escalations, and reporting, using either Python, low code platforms, and agentic coding tools (Cursor, Claude, etc.) Design and operate workflow orchestration and integrations across systems like ticketing, GRC platforms, vendor management tools, identity providers, and cloud control planes Partner closely with Procurement, Legal, Engineering, IT, Compliance, Privacy, and business stakeholders to assess and manage security risk across third party relationships Translate ambiguous business and security requirements into practical, scalable program solutions and decision frameworks Identify opportunities to automate manual processes across the program and prototype solutions yourself rather than waiting on an engineering backlog Drive program operational excellence by establishing repeatable processes, service-level expectations, metrics, and reporting for third party security risk management Evaluate third party security controls, cloud architectures (AWS/GCP), integration patterns, and risk posture, and provide clear recommendations to stakeholders and leadership Conduct light threat models on high risk integrations and partner with Security SMEs for deeper diligence Manage and prioritize a portfolio of complex security risk reviews and initiatives simultaneously, balancing business enablement with risk reduction Partner with technical teams to implement or optimize systems and tools that support program automation and workflow orchestration Develop dashboards, reporting mechanisms, and program insights (SQL, BI tools, or custom tooling) that improve visibility into risk trends, bottlenecks, and program performance Act as a trusted advisor and SME on third party security risk management, helping stakeholders make informed, risk based decisions Contribute to the broader Security Risk Management strategy by identifying opportunities to scale, simplify, and strengthen security governance processes through engineering What We Look For 5+ years of experience in Information Security, Risk Management, Engineering and/or relevant roles Hands-on experience using agentic coding tools (Cursor, Claude Code, Copilot, etc.) and a working knowledge of Python; you don't need to be a software engineer, but you should be fluent enough to read, modify, and run scripts, build automations, and ship small tools end-to-end Familiarity with cloud environments (AWS, GCP, or Azure) — IAM, logging, common services, and the security risks/controls that apply to cloud-deployed third parties and integrations Excellent written and verbal communications skills Experience engineering solutions via Python, Claude, Cursor or other agentic coding tooling Experience with industry based information security & control frameworks (NIST Cyber Security Framework, ISO 2700x, SOC1&2(SSAE18), PCI DSS, NIST-800-53, FFIEC Cybersecurity Assessment Tool, SANS Top 20, etc.) BA or BS degree in Information Security, Cyber Security, Computer Science or related field or commensurate experience Attention to detail and experience with security practices and security tooling Demonstrated ability to drive projects towards completion Ability to understand and communicate technical issues to non-technical teams Professional certification in Information Security or Risk Management (such as CISSP, CISM, CISA, CRISC, etc.) is a plus Base Pay Grade - L Equity Grade - 5 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 Pacific base pay range (CA, WA, NY, NJ, CT) per year: $165,000 - $225,000 USA Sapphire base pay range (all other U.S. states) per year: $146,000 - $206,000 Please note that visa sponsorship is not available for this position. #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: Bucharest, Romania Workplace: hybrid Driving Revenue Growth & Strategic Client Expansion As a Client Partner, you will play a key role in driving commercial growth and expanding Aleph’s footprint in Romania, directly contributing to revenue generation, portfolio expansion, and long-term strategic client partnerships. This is a revenue-driven, commercially focused role responsible for owning a book of business, identifying new growth opportunities, and positioning Aleph as a strategic partner within the digital advertising ecosystem. About Aleph Aleph is a global leader in digital advertising and fintech, operating across 130+ high-growth markets. We provide the bridge between 55+ of the world’s leading digital platforms and local businesses, combining global scale with deep local execution. With 90+ offices worldwide, we empower our sales teams to drive growth through exclusive partnerships and localized expertise. ✨ Why Build Your Career at Aleph At Aleph, your work has real impact. You’ll join a fast-growing, innovative, and collaborative team that encourages initiative, creativity, and ownership. Here’s what makes Aleph unique: 🌍 Global exposure – collaborate with colleagues and clients across multiple countries. 💡 Creative culture – bring bold ideas, test new approaches, and shape strategies. 📈 Career growth – move across teams, take on new responsibilities, and expand your expertise. 🏢 Flexible work culture – we offer flexibility to balance focus and collaboration. 🎁 Well-being & growth – enjoy a benefits package designed to support your personal development and overall quality of life 🎯 What You’ll Do: Revenue Growth & Portfolio Expansion Sell Microsoft Advertising solutions to both new and existing advertisers Proactively generate new leads, build a robust sales pipeline, and maintain accurate CRM records of all sales activities Consistently achieve sales targets while delivering a high-quality customer sales experience. Accurately forecast weekly, monthly, and annual revenue performance. Strategic Client Leadership Build and maintain a strong network of contacts across key verticals through industry events, outreach, and market engagement. Engage regularly with new and existing clients to understand campaign objectives, KPIs, and future marketing plans. Recommend tailored solutions from the product portfolio to help clients achieve their business and marketing goals. Lead onboarding processes for new clients, including guiding them through legal and compliance requirements. Market & Cross-Functional Impact Stay up to date with market trends and competitor activity to identify new business opportunities Introduce Aleph to new prospects and expand presence across target industries Collaborate closely with Client Solutions Managers (Account Managers) to ensure smooth campaign launches and execution Provide timely, actionable feedback to clients to optimize performance and strengthen relationships 🛠 What You Bring : 3+ years of Digital advertising experience, either in Business development, Account management or Ad Sales experience Comprehension of the local advertising ecosystem, including a comprehensive understanding of key players and stakeholders within the industry Strong commercial skills (responsible for direct revenue) Direct experience in paid search advertising, performance advertising and e-commerce You can work independently and set your own workflows to achieve sales targets You're fluent in Romanian and English. 🎯 How Success Looks As a Client Partner at Aleph, success means driving real business results for clients while making a measurable impact on the team and the company. You’ll know you’re thriving when: Clients trust you as a strategic partner, seeing tangible growth and measurable improvements in their campaigns and overall performance. You consistently hit or exceed your individual revenue and performance targets while contributing to the team’s collective goals. You identify opportunities for expansion, optimizing strategies and processes to deliver smarter, more efficient campaigns. You actively bring in new clients and business opportunities, closing deals that fuel both client growth and Aleph’s market expansion You actively collaborate, share knowledge, and bring innovative ideas that improve outcomes for clients and the team alike. What you'll love about us: We care about your individuality by giving you freedom to grow and create within the company, regardless of your position. Work in a dynamic team in a fast-paced industry of an international company with multi-cultural teams around the world. Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising. Flexible Work Models. In-office, work-from-home, or hybrid, depending on position and location. 🚀 Ready to Make an Impact? If you’re excited to grow client relationships, drive business results, and shape the future of digital advertising, Aleph is the place to make it happen. Apply today and become part of a team that’s transforming client success locally and globally. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is RON 114,240. In addition to base salary, this role includes a significant performance-based variable component, paid quarterly. The final offer will reflect your experience, skills, and the scope of the role.  #ALEPH

Location: New York, United States; 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. About Tavily We're building the search engine for AI agents. Our API powers agentic applications and real-time reasoning by connecting LLMs to high-quality, trustworthy web content. We work with some of the most innovative teams in AI — from startups shaping the ecosystem to enterprises deploying AI at scale. The Team Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, and Customer Success. The Enterprise FDE motion focuses on Tavily’s highest-value customers and strategic enterprise opportunities — from technical discovery and solution design through proof of concept, production rollout, adoption, and expansion. The role This is a full-time, on-site role based in our New York office. As a Forward Deployed Engineer, Enterprise, you’ll work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You’ll own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. You’ll be deeply hands-on: building RAG pipelines, agent workflows, evaluation loops, reference architectures, and custom integrations alongside customer teams. You’ll also serve as a critical bridge between the field and our Product and Engineering teams, translating enterprise needs into roadmap signal. Your responsibilities will include: Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements. Lead technical discovery and solution design during pre-sales and expansion conversations. Scope, build, and deliver proofs of concept that demonstrate clear business and technical value. Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications. Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production. Monitor customer API usage patterns and recommend improvements to increase reliability, latency, coverage, and overall value. Translate recurring customer needs, blockers, and technical patterns into clear product and roadmap input. Create reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation. Represent Tavily in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews. Partner closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts. We expect you to have: 5+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant. Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development. Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks. Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout. Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems. Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers. High autonomy, strong ownership, and comfort operating in a fast-moving startup environment. Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear recommendations. Based in New York City, or willing to relocate. It will be an added bonus if you have: Experience working with major agent or LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, or CrewAI. Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems. Experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS, sales, marketing, or internal knowledge management. Track record helping large customers move from POC to production. Experience building internal tools, technical playbooks, demos, or reusable customer-facing assets. Prior experience at a high-growth AI infrastructure, developer tools, or enterprise SaaS company. Compensation We offer competitive compensation packages. The actual compensation offered within the listed range will be determined based on job-related factors, including experience, skills, qualifications, and the level at which the candidate is hired, consistent with applicable law. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $224,300 USD 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: European Union Workplace: Remote About the Role We’re looking for a Senior Software Engineer to join a newly forming team that will own one of the most specialised and business-critical domains in our technology landscape - Game Engine. This role sits at the intersection of engineering, game mathematics, platform, and compliance. You’ll work on the tools, frameworks, and services that enable our mathematicians and game teams to build, validate, run, and monitor game logic in production. This position is about deep ownership of a very specific technical domain: game engines, mathematical packages, simulation data, RTP monitoring, round details, and integrations with games developed both internally and by external studios. You’ll be part of a, experienced Core team with a high level of responsibility. The impact of this work is direct: incorrect game logic, missing round details, or inaccurate RTP monitoring can affect game delivery timelines, business performance, and regulatory readiness. If you enjoy working close to complex domain logic, reviewing technical implementations, understanding how games work under the hood, and owning systems where precision matters - this role will feel like home. Key Responsibilities - Own, maintain, and evolve Playson’s Game Engine. - Work on internal frameworks and libraries used by mathematicians to implement game logic and mathematical packages. - Review and validate code written by mathematicians, ensuring quality, correctness, maintainability, and proper usage of internal frameworks. - Contribute to the development and support of game engines used to run mathematical logic within our platform. - Support integrations with external game studios by helping build wrappers and bridges between third-party game implementations and Playson’s platform. - Work with data structures and protocols that connect game logic with frontend and backend systems. - Contribute to RTP monitoring processes, including validation of production transaction data against simulation data and expected mathematical behaviour. - Support and evolve tools used for mathematical review, simulations, data files, monitoring, and alerting. - Implement and maintain round details logic required for regulated markets, ensuring that detailed game round information can be correctly provided to partners and regulators. - Collaborate closely with mathematicians, backend engineers, platform teams, compliance stakeholders, and product representatives. - Participate in code reviews and technical discussions to ensure a high engineering standard across the Game Engine domain. - Investigate issues related to game logic, mathematical validation, monitoring, and engine behaviour. - Participate in minimal on-call responsibilities related to the systems owned by the team, mainly around monitoring, alerts, and domain-specific incidents. - Take ownership of a highly specialised area where quality, accuracy, and attention to detail are essential. Requirements - Strong software engineering experience, ideally in backend, game engine, gaming, gambling, betting, or simulation-heavy environments. - Strong background in C++ and experience working with legacy C++ systems. - Good understanding of software architecture, code quality, testing, debugging, and maintainability. - Experience with mathematical models, probability-based systems, simulations, random generators, or RTP-related logic. - Experience reviewing complex code and providing clear technical feedback. - Ability to understand domain-specific logic and work with technical systems where business rules, mathematics, and engineering are closely connected. - Strong problem-solving skills and ability to work with complex, non-standard technical challenges. - Experience working with production systems where reliability, accuracy, and correctness are critical. - Understanding of backend systems, APIs, data flows, and service-to-service communication. - Ability to collaborate closely with non-engineering technical experts, especially mathematicians or domain specialists. - Strong ownership mindset and willingness to become a key expert in a narrow but highly important technical domain. - Product-oriented thinking, with an understanding that games are the core product and engineering decisions directly affect delivery, quality, and compliance. - Experience in iGaming, gambling, betting, game development, or casino games. - English communication skills sufficient for working in an international environment. Nice to Have - Experience with Node.js/TypeScript. - Understanding of regulated markets and compliance requirements in iGaming. - Experience with ClickHouse or other analytical/columnar databases. - Experience with monitoring, alerting, and production diagnostics. - Experience with AI-assisted code review or automated validation tools. - Knowledge of microservices architecture and distributed systems. - Familiarity with Kafka, gRPC, Kubernetes, or AWS. - Experience integrating third-party games, external studio products, or wrapper-based solutions. - Ukrainian language skills would be a plus. What We Offer - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Recruitment Process - HR interview - Technical interview (with Live coding) - Final interview Join us today! By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.