Вакансии

— Построение сильной SEO-команды. — Рост и развитие текущих сотрудников.

— Опыт в iGaming от 3 лет (с VIP-клиентами или в роли тимлида); — Опыт работы с рынком LatAm (в приоритете);

— Руководство командой антифрода;

This leader owns customer enablement across Alloy. It is a role that builds and runs the program behind enablement: capturing knowledge continuously, packaging it for the right audience at the right moment, running hands-on customer training sessions, and measuring what works.

Location: Dhahran, Saudi Arabia; Riyadh, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates We are seeking an experienced Lead Digital Solutions Analyst to support advanced AI technology initiatives and contribute to the development of next-generation AI solutions. The successful candidate will work on AI modules, scalable data pipelines, backend infrastructure, and real-time data processing systems, supporting the development of Large Language Models (LLMs), Large Time-Series Models, and Large Vision Models. Key Responsibilities Develop and implement AI modules, pipelines, solutions, and services for advanced AI technologies. Design and develop scalable backend infrastructure to support real-time data ingestion, AI model inference, and user access. Build real-time data processing components using event-driven architecture. Apply microservices and agentic AI architectures to support scalability and flexible system development. Develop data pipelines for data preprocessing, normalization, labelling, transformation, feature engineering, and storage. Support research and development initiatives for sovereign AI technologies, including Large Language Models, Large Time-Series Models, and Large Vision Models. Collaborate with cross-functional teams to develop, integrate, and optimize AI-driven solutions. Requirements Bachelor's degree in Graphic Design or an equivalent qualification, as specified for the position. Minimum 10 years of relevant professional experience in graphic design, data science, AI technologies, or a related field. Experience in AI solution development, data pipelines, or AI technology implementation. Knowledge of backend infrastructure, real-time data processing, and event-driven architectures. Familiarity with microservices, agentic AI architectures, and scalable AI applications. Understanding of data preprocessing, transformation, feature engineering, and data storage. Exposure to Large Language Models, time-series models, or computer vision technologies is an advantage. Strong analytical, problem-solving, and collaboration skills.

Требования: Опыт проектирования и разработки сложных backend-систем и понимание полного жизненного цикла продукта — от идеи и архитектуры до эксплуатации и поддержки.

Требования: Опыт проектирования и разработки сложных backend-систем и понимание полного жизненного цикла продукта — от идеи и архитектуры до эксплуатации и поддержки. Глубокое понимание архитектуры отказоустойчивых и масштабируемых сервисов.

- формировать и поддерживать визуальный стиль игры; - контролировать качество арта и давать правки художникам;

-Первые месяцы - работа руками наравне с командой, дальше - перевод в процессы и автоматизацию. -убрать SPOF в проде.

-Формировать стратегию и дорожную карту развития Bitrix24 CRM. -Управлять полным жизненным циклом продукта: от бизнес-потребности и формирования решения до запуска и оценки результатов.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Anthropic Institute The Anthropic Institute (TAI) is a function within Anthropic that works to advance the public conversation around AI. The Institute is comprised of research teams tackling some of AI's most consequential societal challenges: the Frontier Red Team, which stress tests our systems against catastrophic risks; Societal Impacts, which studies how Claude is used by millions of people; Economic Research, which tracks AI's impact on people's jobs and the larger economy; the Rule of Law team, which studies AI's impacts to democracy; and more. The Institute's mission is to reduce information asymmetries between Anthropic and the outside world, name and answer the hard questions implied by powerful AI systems, and publish these findings so that policymakers, researchers, technology leaders, and the public can reckon with what's here and what's to come. About the role The role. You will build and lead the Institute’s tabletop exercise program and the team that runs it. Based on trends visible in the exponential and in consultation with technical experts, you will set the research agenda: which questions the exercises should answer, which scenarios to run, with which audiences, and what each run is meant to test. You will own the methods that make results comparable across runs and turn them into findings people outside the room can use. You will hire and manage a team plus a bench of facilitators, and you will be the program’s public voice. Why tabletop exercises? If RSI arrives, the hardest problems will be about making decisions under uncertainty. The people making them may not trust each other, and the authorities they work under may not be fit-for-purpose. A tabletop exercise (TTX) allows the people who would face that situation practice it before it is real. It also shows us what tools and information they reach for, including what they would need that does not exist yet. Tabletop exercises are also a research method. You can run the same scenario many times, with different groups of people (and with many more AI agents playing in silico), and you start to see the distribution of decisions people make. This is one of the few ways to generate empirical evidence about the future, i.e., how people and institutions will respond to situations that have not happened yet. Key responsibilities Set the program’s research agenda: the questions exercises should answer, the scenarios to run, and the audience for each Design exercises as empirical studies: define what each run tests, standardize scenarios and data capture so results are comparable, and use repeated play to map the range of outcomes Build the program’s measurement: pre- and post-exercise assessments, decision logs, transcript analysis and after-action reports Turn results into findings: publish on what the exercises show, and brief senior people inside and outside Anthropic on the gaps they expose Hire, manage and develop a team and a bench of facilitators Make the program scalable: maintain a library of tested scenarios that the team reuses most of the time, refreshed on a regular cadence so they stay timely Build a facilitator kit ("TTX in a box") so other internal teams or external partners can run exercises to the same standard Create and direct the tools behind the exercises, including Claude-driven simulations that generate a live outside-world feed during play Minimum qualifications Have designed and run tabletop exercises, wargames, or simulations for senior decision-makers and published on the subject Have training in a discipline that uses simulation, experimental methods or structured analysis Have 10+ years of experience in national security, government, technology policy, or strategy Can keep the scenarios technically grounded with a strong grasp of AI capabilities and safety research Have managed a team, including hiring, setting direction, giving feedback and developing people Use Claude and other AI tools extensively in your own work Care about AI safety and Anthropic's public benefit mission Preferred qualifications Published research on wargaming methods, simulation or crisis decision-making Run exercises that fed into real policy or crisis-response decisions Run multi-iteration or experimental wargames and analyzed results across runs Used AI agents or language models as players, adjudicators or analysts in simulations Led a research program or team through a period of growth Existing relationships across national security, government, policy and AI, and are trusted in those communities Published widely read work on AI, emerging technology, strategy or crisis decision-making 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. 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: $295,000 — $295,000 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Electrical R&D Lead to drive the advanced development of next-generation wearable sensing technologies. As part of the Hardware Engineering team, you will lead the exploration, design, characterization, and validation of novel sensing systems, developing a deep understanding of the complete signal chain - from the underlying physiological signals and sensor interfaces through analog and digital electronics to downstream system requirements. You will combine strong electrical engineering fundamentals, hands-on experimentation, and advanced data analysis to translate complex system behavior into architecture and design improvements that optimize sensing performance. This is a hands-on technical leadership role for an engineer who combines deep electrical expertise with exceptional systems thinking, analytical rigor, and technical judgment. You will guide and mentor engineers while working closely with Electrical, Mechanical, Firmware, Signal Processing, and WHOOP Labs teams to evaluate emerging technologies, define system requirements, identify performance limitations, and drive technical decisions. You will help establish the technical direction for advanced electrical development, balancing innovation with product feasibility, performance, and development timelines. RESPONSIBILITIES: - Lead advanced electrical development initiatives, driving technical direction from early-stage technology exploration and sensor evaluation through feasibility, prototyping, system characterization, and design validation - Develop a deep understanding of the complete sensing signal chain, including sensor behavior, analog front-end performance, electrical interfaces, physiological characteristics, and downstream system requirements, to inform electrical architecture decisions and optimize end-to-end sensing performance. - Define and execute experiments to characterize sensor and system behavior, isolate variables, identify performance limitations, and evaluate interactions across electrical, mechanical, physiological, and environmental conditions - Execute data analysis to translate experimental findings into actionable electrical design improvements, technical recommendations, and quantitative performance requirements. - Drive the evaluation, integration, and validation of new sensing technologies, establishing test methodologies, performance criteria, and system-level requirements that support reliable operation across real-world use cases - Partner closely with Electrical, Mechanical, Firmware, Signal Processing, and WHOOP Labs teams to understand system dependencies, evaluate technical tradeoffs, and ensure electrical designs support broader sensing system performance objectives - Lead complex technical investigations and root-cause analysis, combining first-principles engineering, bench measurements, system telemetry, and structured experimentation to identify risks and drive effective design solutions - Guide and mentor engineers across advanced development projects, setting technical priorities, providing design review and technical direction, and driving cross-functional alignment while maintaining strong hands-on engineering contributions - Translate ambiguous technical challenges into actionable development plans, proactively communicating technical risks, recommendations, and progress while balancing engineering rigor with product and schedule objectives - Remain hands-on with circuit design and simulation, prototype bring-up, hardware debugging, and design iteration, directly contributing to critical technical investigations and design decisions QUALIFICATIONS: - Bachelor's degree or higher in Electrical Engineering or a related technical field, or equivalent practical experience - 8+ years of relevant electrical engineering, hardware R&D, or sensing systems development experience, with demonstrated technical leadership and ownership of complex engineering projects - Deep electrical engineering fundamentals across analog and digital circuit design, sensor interfaces, signal integrity, noise analysis, and system-level electrical architecture - Strong systems-level understanding of sensing technologies - Exceptional hands-on experimentation, hardware characterization, and debugging skills, with the ability to apply first-principles engineering and structured analysis to complex technical challenges - Proficiency in Python or equivalent tools - Demonstrated ability to lead ambiguous, cross-functional technical initiatives, guide engineering decisions, mentor other engineers, and drive technical challenges to resolution - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions

Location: London, United Kingdom Workplace: hybrid About The Role: We're looking for a Lead/Head of Transaction Monitoring (Enterprise) to own how Paysend detects suspicious activity across all products, corridors and payment methods, and to lead the TM Enterprise Program that modernises it. Objective and Key Results Objective (Q4 2026): AI-Powered Enterprise Financial Crime: build scalable, risk-based transaction monitoring Enterprise clients can submit legitimate transactions with minimal friction, suspicious transactions are correctly identified and declined, unnecessary RFIs are minimised, and transaction-monitoring performance is measurable and continuously optimised. Metrics clearly separate client-generated risk, Financial Crime controls and downstream payout execution, so TM declines are not confused with prefunding, network or technical failures, and stages reconcile without double-counting. Key Results you will be accountable for % Confirmed Fraud Rate of Enterprise-Initiated Transactions: Confirmed fraud transactions divided by total enterprise-initiated transactions, broken down by client, typology, transaction type and destination, and confirmed vs. suspected fraud. Gives clients an evidence-based view of the quality of the volume they submit. % Legitimate Transaction Straight-Through Processing Rate: Legitimate transactions processed without an RFI divided by total legitimate transactions submitted. The central measure of balance between risk protection and customer friction. % Enterprise TM Decision Quality: Combines confirmed-fraud prevention rate (stopped before payout), false-positive rate, and control coverage of material enterprise TM risks by documented, approved and tested controls. % Enterprise TM Investigation Efficiency: Median RFI time to resolution, % resolved within SLA, % with a clear documented decision, % outstanding beyond SLA, and RFI backlog and ageing. What you will own KRs and Initiatives: Own and deliver the Enterprise TM KRs and Initiatives, from definition and prioritisation through delivery, measurement and reporting to senior leadership. TM Enterprise Program: Lead the TM Enterprise Program end to end: scope, roadmap, milestones, budget, dependencies, risks and governance. TM framework: Own the enterprise-wide TM framework: scenario and rule coverage, thresholds, risk-based calibration, model governance and the rule lifecycle (design, test, tune, retire). Effectiveness and KPIs: Own the KPI and MI framework for detection effectiveness, alert quality, false positives, SAR/STR conversion, alert volumes, SLAs and team productivity. Regulatory assurance: Ensure TM meets AML/CTF and regulatory expectations across all licensed jurisdictions, and own TM readiness for audits, regulator reviews and partner due diligence. Team leadership: Build, lead and develop a high-performing TM team spanning analysts, rule owners and data/automation specialists. What you'll do Define strategy and OKRs: Set the enterprise TM strategy and multi-year roadmap, aligned to company OKRs and Paysend's financial crime risk appetite; translate it into measurable KRs and a prioritised initiative portfolio. Drive delivery: Lead initiative delivery as accountable owner: run planning, steering committees and status reporting; remove blockers, manage trade-offs and escalate material risks early. Strengthen detection: Oversee translation of typologies, risk assessments and regulatory change into detection scenarios and rules; ensure backtesting, simulation and impact measurement happen before release. Optimise performance: Drive tuning using alert, case and SAR feedback to improve catch rate and reduce noise, with clear trade-off thinking across risk, cost and customer friction. Automate and scale: Replace manual analysis and reporting with scalable pipelines and self-serve dashboards; apply advanced analytics and ML-based anomaly detection where they add value. Collaborate: Partner across the business: Product and Engineering: requirements, data needs, TM platform and rules-engine enhancements. Compliance and MLRO: policy alignment, risk assessments, regulatory reporting, audits and regulator engagement. Network and Partners: Visa and Mastercard program requirements, thresholds and monitoring; bank and partner due diligence. Operations and Investigations: alert-handling workflow, feedback loops, capacity and quality. Data and Analytics: data quality, lineage, model validation and reporting. Govern and report: Run the TM governance cadence: rule-change approvals, performance reviews, documented decisions and rationale, and regular reporting to senior management and committees. Stay ahead of regulation: Stay current on AML/CTF regulation, FATF guidance, PSD2/SCA and card scheme rules, and embed changes into controls and the roadmap. Manage vendors and budget: Manage vendor, tooling and budget for TM platforms, data sources and analytics. What you'll need Substantial experience in transaction monitoring and AML/financial crime, ideally in fintech, payments, money transfer or high-volume B2C, including leading a TM function or a large TM transformation. Proven track record owning OKRs/KRs and delivering multi-stream programs or initiatives, with strong planning, prioritisation and senior stakeholder management. Deep knowledge of TM scenario and rule design, tuning, threshold calibration, model governance and effectiveness testing, including backtesting and below-the-line testing. Strong understanding of AML/CTF regulation and expectations (e.g., FCA, EU AMLD/AMLR, FATF) and experience supporting regulator and auditor reviews across multiple jurisdictions. Solid grasp of fraud and financial crime typologies in cross-border payments, and awareness of emerging trends. Working knowledge of Visa and Mastercard monitoring programs and payment methods (cards, tokenization, Apple Pay, Google Pay, A2A, wallets). Data fluency: able to interrogate SQL/BI outputs, define KPIs and challenge analytical approaches; understanding of modern data platforms and automation. Experience leading and developing teams, including hiring, coaching and building clear ownership models. Ownership mindset: you spot problems, propose solutions and see them through without waiting to be asked. Clear communication and documentation, able to explain risk and data-driven decisions to technical and non-technical stakeholders, including executives. Nice to have Experience with rules engines, decisioning platforms or TM vendor solutions (selection, implementation, migration). Experience applying advanced anomaly detection (statistical, unsupervised or machine learning) to AML and fraud use cases, including model risk management. Hands-on SQL/Python background and experience building BI dashboards (Looker, Tableau, Power BI or similar). Familiarity with how financial crime operations run day to day, including case management and SAR/STR filing. Relevant certifications such as ACAMS, ICA or equivalent. What you'll achieve First 3 months Understand our products, corridors, TM framework, rules engine, data landscape and current KR/Initiative portfolio. Assess current TM coverage, effectiveness and regulatory exposure; identify the highest-priority gaps. Build relationships across Compliance, Product, Engineering, Network, Operations and Data. Confirm the TM Enterprise Program plan, governance and a baselined KR scorecard. By 6 months Run the TM Enterprise Program on an agreed roadmap with clear ownership, milestones and steering cadence. Launch a reliable KPI and MI suite for detection effectiveness, alert quality and team throughput. Deliver the first material coverage and tuning improvements, with documented performance reviews. Have the team structure and key hires in place. By 12 months Deliver the committed KRs and Initiatives, with measurable gains in detection effectiveness, false positive rate and operational efficiency. Be the recognised owner of enterprise TM, with a clean audit and regulator-ready evidence trail. Have introduced new detection approaches and automation that strengthen our compliance posture and scale with growth. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

is looking for privacy and trust operations leads to build privacy, compliance, risk, and trust governance programs.

— Разработка новой информационной системы с нуля. — Проектирование архитектуры под высокие нагрузки.

Location: New York; Brooklyn, NY Workplace: Hybrid Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. As the Finance Lead at Ava Labs, you will help manage and strengthen our financial operations within the rapidly evolving cryptocurrency industry. This is a hands-on role requiring a self-starter who takes ownership from identifying a need through delivering the result. You will work closely with the CFO and cross-functional teams to drive financial clarity, maintain efficient operations, and ensure our financial practices align with regulatory requirements and business goals. You will partner with the CFO on financial execution and process improvement, with opportunities to contribute to broader strategic initiatives as you grow in the role. Reports to the CFO. WHAT YOU WILL DO - Financial Planning & Analysis: Lead financial planning and forecasting across the business. Build and maintain financial models to support budgeting, scenario planning, and departmental decision-making. - Hands-on Execution and Ownership: Personally drive finance projects from start to finish, including gathering and validating data, building models, investigating variances, and implementing solutions. Proactively identify what needs to be done and follow through to completion, independently resolving challenges and coordinating with others when their input or approval is needed. - Operations and Compliance Oversight: Manage day-to-day financial operations, ensuring compliance with statutory law and financial regulations. Oversee the handling of crypto and fiat transactions, ensuring efficient payments and settlements in close collaboration with the treasury team. Maintain and continuously refine existing systems for expense management, equity and compensation plans, travel arrangements, and accounts payable. - Cross-functional Collaboration: Serve as a financial liaison among engineering, compliance, business development, legal, and accounting teams. Work with People Operations and Human Resources to align financial processes with workforce planning. - Performance Management: Track and report key financial and operational metrics. Partner with the Head of Business Operations and Analytics to analyze trends and variances and flag business risks and opportunities. - Innovation and Process Improvement: Identify opportunities to refine financial processes and systems as the business scales, and recommend changes to existing workflows. Support the CFO in identifying processes that can be automated, planning, and implementation of automation. - Investor Relations and Strategic Communication: Collaborate with the C-suite to prepare and present materials for board meetings and strategic updates. Experience in venture capital fundraising is a plus, although direct fundraising activities are not currently planned. Create visually engaging and digestible financial presentations that simplify complex information for diverse audiences, enhancing communication both within the company and with external stakeholders. - Corporate Development and Strategy: Support the CFO on corporate development activity, including entity spinouts, divestitures, and asset sales, and help evaluate, structure, and execute potential investments, acquisitions, or similar strategic transactions as they arise. - Tax Responsibilities: Support tax planning and compliance efforts, ensuring tax positions align with overall fiscal policy and legal requirements. - Legal Agreement Review: Collaborate with the legal department to review the financial terms of contracts and agreements. - Financial Communication: Communicate financial insights and risks clearly to the CFO and relevant stakeholders to support informed decision-making. WHAT YOU WILL BRING - Education: BA or BS in Finance or Accounting; an MBA from a top-tier school is preferred. - Experience: Extensive experience in finance within the digital assets or fintech sector. Proven track record in cryptocurrency management, international payments, and trading platforms. Experience in investment banking, corporate development, and fast-paced startup environments is highly valued. - Adaptability and Resourcefulness: Comfortable being scrappy and resourceful in a dynamic environment, with sound judgment on trade-offs and prioritization under pressure. - Technical Skills: Advanced financial modeling and analytics skills, comfortable working with large datasets. SQL or statistics experience is a plus. - Industry Knowledge: Solid understanding of P&L, balance sheets, cash flow management, and general accounting principles. Familiarity with the regulatory landscape for cryptocurrencies is a plus. - Communication Skills: Strong written and verbal communication skills, with the ability to work effectively across cross-functional teams, and high integrity. - Self-Starter with a Hands-on Approach: Demonstrated ability to turn ambiguous requests into concrete deliverables with minimal supervision. Willing to roll up your sleeves and perform detailed work yourself, take initiative without waiting for direction, and deliver results without relying on a supporting team to execute. - Leadership and Team Management: Comfortable mentoring or overseeing junior finance team members as the team grows while remaining directly responsible for hands-on execution and delivery. - Attention to Detail and Strategic Perspective: Strong attention to detail balanced with the ability to see the bigger picture; able to think critically and solve problems under deadlines. CULTURAL ALIGNMENT At Ava Labs, we thrive in a high-accountability, high-urgency environment where execution matters more than location. We value individuals who don’t just need structure - but create it. They don’t need reminders - they own the calendar. If you’re ready to lead a finance team at the bleeding edge of crypto innovation, you won’t just keep up - you’ll set the pace. If you’re excited about shaping the financial systems that power the next generation of decentralized technology, this is your moment to lead. (**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location.) WHY AVA LABS? Ava Labs builds Avalanche, the blockchain platform institutions use to bring finance onchain. Since Avalanche launched in 2020, we have helped exchanges, banks, asset managers and fintechs move from experiments to live products, from tokenized funds and private credit to stablecoin payments and, now, the clearing and settlement ledger for the NYSE’s upcoming tokenized securities platform. Avalanche lets institutions run their own purpose-built networks with the performance, costs and participation controls they need, while staying connected to a broad ecosystem of DeFi protocols, liquidity and developers. We are a team of experts in engineering, finance, economics, product and law, headquartered in New York City. You will work alongside people who have built at leading banks, exchanges and crypto companies, with the scope to shape how capital markets move onchain over the next decade. Ava Labs is backed by investors including Andreessen Horowitz, Polychain Capital and Initialized Capital. Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. We’re looking for a collaborative and thoughtful Program Lead to help support and uphold the values of our Wizards Play Network (WPN) and Organized Play programs. In this role, you’ll work to ensure a positive, safe, and welcoming environment across our global community by helping partners and players navigate policies and address concerns with care and consistency. You’ll take the lead on sensitive investigations, engage with stores and players to resolve issues, and collaborate with internal teams to promote transparency, fairness, and trust. By blending program coordination, policy support, and trust & safety principles, you’ll play a key role in maintaining the integrity of our play spaces and ensuring a healthy experience for players, retailers, and employees alike. What You'll Do: • Own the analysis of program data, policy guidelines, and incident reports to surface systemic concerns and recommend changes around policy adherence. • Lead complex, high-sensitivity investigations end to end, document evidence, and apply sound judgment when enforcing program rules. • Communicate clearly with partners and players about policy outcomes, maintaining professionalism in all interactions. • Define and improve the processes and standards the broader team uses to manage inquiries, investigations, and communications with timely follow-through. • Review partner-reported issues or concerns, assess their impact, and decide on resolution or escalation, using discretion and care. • Draw on internal systems and external context to build a well-rounded view of each case and set best practices in trust & safety for the team. • Partner with leadership and cross-functional teams to ensure consistent and fair application of policies across all regions and scenarios, and advise on program direction. What You'll Bring: • Minimum of 6 years of experience in Trust and Safety, investigations, fraud analysis, or a related field, including ownership of programs or complex caseloads. • Deep experience in conflict resolution and de-escalation, including the hardest cases. • Excellent critical thinking and investigative abilities. • Strong empathy and communication skills, especially in high-pressure or emotionally charged conversations. • Proven ability to work independently, set priorities, and drive programs forward in a high-volume environment. • Experience defining policy, process, or standards is a strong plus. • Familiarity with Wizards Play Network (WPN) policies is a strong plus. • Knowledge of Magic: The Gathering or experience within the gaming/retail industry is highly desirable. • Cultural awareness and/or work experience with regions such as Latin America or APAC is beneficial. • Bilingual or multilingual candidates are encouraged to apply. #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $108,600 — $162,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the 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. The Senior People Technology Solutions Lead is a senior individual contributor responsible for advancing the technology capabilities that support SIE's global People organization. Grounded in People Technology and enterprise HR systems, this role combines a strong understanding of HR processes, platforms, data, integrations, and employee experiences with expertise in emerging technologies such as generative AI, AI agents, agentic orchestration, APIs, Model Context Protocol (MCP), automation, and AI-assisted development. Reporting to the Senior Director of People Technology Services, this role serves as a technical practice lead for innovation within PTS. The Principal Platform Engineer works across HRIS, integrations, reporting and analytics, service delivery, and other People Technology areas to identify opportunities, establish technical direction, develop use cases, and turn emerging capabilities into practical solutions. Success requires strong partnership across organizational boundaries. The role works closely with People & Places as PTS's key business stakeholder, understanding priorities and identifying opportunities where technology can improve employee experience, service delivery, efficiency, and insight. At the same time, the role connects PTS with the broader IT strategy and enterprise technology capabilities in areas such as AI and agents, service management, low-code development, data, integration, security, and architecture. This is a hands-on senior technical role as well as an influential one. The Principal Platform Engineer operates with a strong bias for action, using Agile and iterative approaches to quickly turn ideas into learning and business value. Depending on the problem, that may mean developing a technical position or white paper, rapidly building a prototype or proof of concept, or incrementally evolving a solution toward production. The emphasis is on testing ideas early, learning from evidence, and continuously refining the approach while helping colleagues across PTS build the skills and confidence to use emerging technologies effectively. Key Responsibilities People Technology Strategy & Innovation Serve as a technical practice lead for emerging technology within PTS, helping establish direction for the practical and responsible adoption of AI, automation, orchestration, application extension, and other new capabilities. Apply broad knowledge of HR technology, HR processes, workforce data, integrations, reporting, security, and service delivery when identifying opportunities and shaping solutions. Translate developments in enterprise technology, vendor roadmaps, and internal capabilities into practical People Technology use cases, technical positions, and actionable recommendations. Identify opportunities across PTS where technology can reduce repetitive operational work, improve quality and employee experience, increase insight, or enable the team to focus greater capacity on higher-value activities. Establish reusable approaches and solution patterns that allow successful ideas to scale across PTS rather than remaining isolated experiments. AI, Automation & Agile Solution Delivery Provide hands-on technical leadership for solutions using generative AI, AI agents, agentic workflows, APIs, MCP, workflow orchestration, automation, Codex, low-code technologies, and other emerging capabilities. Use rapid prototyping and iterative delivery to test assumptions, demonstrate possibilities, gather feedback, and reduce uncertainty before committing to larger investments. Break complex opportunities into smaller, testable increments that can demonstrate value quickly and inform subsequent decisions and development. Lead technical design for complex or cross-platform solutions, evaluating build, buy, extend, integrate, automate, and orchestrate options based on business value, feasibility, architecture, security, user experience, and sustainability. Apply appropriate AI patterns including grounding and retrieval, context management, tool calling, structured outputs, evaluation, guardrails, observability, and human oversight. Lead or contribute directly to prototypes, proofs of concept, and production implementations, remaining sufficiently hands-on to validate ideas and solve difficult technical problems. Use evidence from prototypes, experiments, and delivered capabilities to determine whether to iterate, scale, change direction, or stop. Partnership & Enterprise Collaboration Partner with People & Places leaders and teams to understand priorities, challenges, and opportunities and translate them into potential technology-enabled outcomes. Connect PTS strategy and use cases with the broader IT technology strategy , identifying where enterprise platforms and shared capabilities can accelerate or improve People Technology solutions. Collaborate with teams responsible for capabilities such as enterprise service management and employee-service experiences (e.g., ServiceNow), AI agents and conversational experiences (e.g., Moveworks), low-code development and workflow automation (e.g., Microsoft Power Platform), enterprise AI platforms, data, integration, security, and architecture. Act as a boundary spanner across business and technology organizations, bringing together the appropriate expertise and capabilities to address opportunities that cross organizational or platform boundaries. Represent the particular needs of People Technology, including sensitive workforce data, complex HR processes, employee experience, and regulatory considerations, while promoting reuse of enterprise capabilities and alignment with broader technology standards. Influence, Adoption & Practice Development Establish a clear technical point of view through recommendations, white papers, presentations, prototypes, and well-led discussions that result in decisions and action. Bring structure and direction to complex technology discussions, clearly communicating options and tradeoffs and adapting technical detail to the audience and decision required. Build adoption of new tools and approaches across PTS through demonstrations, coaching, reusable examples, documentation, mentoring, and hands-on collaboration. Mentor team members and increase broader PTS capability in AI, automation, APIs, orchestration, solution design, and modern technology practices. Act as an agent of change, helping colleagues understand why new approaches matter, demonstrating their value through practical application, and supporting adoption as successful capabilities become part of everyday delivery. Ensure solutions meet SIE expectations for architecture, security, privacy, data protection, responsible AI, auditability, human oversight, and production support. Measure success not only through individual delivery, but through adoption, reusable capability, measurable business outcomes, reduced operational effort, and increased capacity for higher-value work. Required Qualifications 10+ years of experience across enterprise technology, application development, automation, HR technology, digital transformation, platform development, or technology consulting, with significant experience delivering complex technology solutions. Demonstrated hands-on experience designing and delivering solutions using generative AI, automation, APIs, integrations, workflow technologies, or modern application-development approaches. Demonstrated experience taking emerging technology from concept or proof of value through iterative development, production implementation, adoption, and ongoing operation. Strong practical understanding of generative AI and agentic architectures, including agents, orchestration, grounding and retrieval, tool use, APIs, evaluation, guardrails, human oversight, and production considerations. Experience leading complex technical initiatives that span systems, teams, or organizational boundaries and influencing outcomes without relying on direct management authority. Demonstrated ability to evaluate technology options, establish a clear point of view, and translate that thinking into recommendations, technical positions, prototypes, designs, or delivered solutions. Working knowledge of enterprise HR technology and HRIS concepts, including workforce data, business processes, integrations, reporting, security, and handling sensitive employee information. Demonstrated experience using Agile and iterative development approaches, including rapid prototyping and experimentation, to reduce uncertainty and progressively deliver business value. Strong communication and facilitation skills, with the ability to explain complex technology to technical, business, and leadership audiences and drive discussions toward decisions and outcomes. Demonstrated ability to mentor others, share expertise, and increase technical capability beyond one's own individual contribution. Preferred Qualifications Experience working in People Technology, HR Technology, or HRIS within a complex global enterprise environment. Experience with enterprise architecture, API ecosystems, cloud services, integration platforms, RAG, vector search, observability, or AI evaluation frameworks. Experience with Workday HCM, Workday integrations, Workday APIs, Workday Orchestrate, Workday Extend, or comparable enterprise HR platforms and extension capabilities. Experience developing AI agents, multi-step agentic workflows, or enterprise orchestration solutions. Experience with Model Context Protocol (MCP) or comparable approaches for securely connecting AI models and agents with enterprise tools and information. Experience with AI-assisted software development and coding agents (e.g., Codex). Experience with enterprise service management and workflow platforms (e.g., ServiceNow). Experience with enterprise AI agent or conversational platforms (e.g., Moveworks). Experience with low-code application development and workflow automation platforms (e.g., Microsoft Power Apps and Power Automate). Experience applying security, privacy, responsible AI, data governance, monitoring, or evaluation controls to enterprise AI and automation solutions. Profile The successful candidate will: Be a boundary-spanning technical leader who connects People Technology priorities with capabilities and expertise across the organization and influences outcomes through credibility rather than formal authority. Maintain a strong bias for action and learning , using rapid experimentation and iterative delivery to create momentum and learn from evidence while applying appropriate rigor based on risk and complexity. Remain hands-on , moving comfortably between technical strategy and practical execution, including prototypes, solution design, architecture, and difficult technical problems. Build a practice, not a dependency , increasing the ability of others to identify opportunities and use emerging technologies rather than becoming the person who must personally own every innovative solution. Turn knowledge into influence and action through clear recommendations, white papers, presentations, prototypes, experimentation, and disciplined discussions that lead to decisions and delivery. Be technology curious, but not technology led , embracing AI, agents, Codex, MCP, APIs, orchestration, low-code platforms, and emerging technologies while beginning with the problem and desired outcome. Understand People Technology , recognizing the intersection of complex HR processes, sensitive workforce data, employee experience, integrations, controls, and global requirements. Be a multiplier , with impact demonstrated through both personal delivery and increased capability, productivity, innovation, and insight across PTS. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $169,400 — $254,000 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.