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Location: Remote Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance. As part of our OMS product portfolio, Lineup and FatTail provide media owners with an end-to-end order management solution built for ad sales teams across news, digital, streaming, B2B, OOH and other segments. Reports to: VP Sales Location: United Kingdom About the Role As Sales Director, International, reporting to the VP Sales, you will own new business within an assigned international market segment, converting assigned and self-sourced opportunities into new-logo ARR across FatTail and Lineup. Based in the United Kingdom, this is an individual contributor role focused on driving end-to-end sales execution across core enterprise accounts in global markets. Who We’re Looking For 8+ years of enterprise software sales experience delivering consistent multi-year quota attainment in a high-ACV, long-cycle sales motion. Proven track record of successfully selling across multiple European or international markets. Deep domain knowledge of the media industry and established credibility with media software buyers. Demonstrated ability to operate effectively across time zones with US-based leadership and support functions. Expertise in structured sales methodologies such as ValueSelling and MEDDPICC, alongside a rigorous commitment to forecast and pipeline accuracy. Proven track record of revealing underlying customer business needs and manufacturing urgency where no forced customer event exists. Commercial acumen to structure and negotiate multi-year enterprise software agreements covering SaaS licensing, implementation, and custom development components. A collaborative, curious, and driven mindset with a proven history of running deals as team pursuits across Pre-Sales, Marketing, Product, Finance, and Professional Services. Willingness to maintain an international travel and industry event schedule (approximately 50% onsite travel). Day-to-Day Responsibilities Own and achieve the annual new business quota within your assigned international market segment. Generate a strong self-sourced annual pipeline above and beyond marketing-generated leads. Own deal execution end-to-end without escalation for core ideal customer profile (ICP) opportunities. Convert partner and reseller relationships into qualified new business opportunities. Maintain a high win rate against sales-qualified leads and ensure accurate, real-time CRM tracking. Assume and advance assigned pipeline opportunities without stage regression using structured methodologies like ValueSelling. Build lasting credibility and customer references across your assigned market segment. Collaborate across global teams to refine deal drivers, pivot sales strategies, and analyze win/loss rationale. Compensation & Benefits Salary range: £105,000 Base + 10% Commission (annual quota: £900-1300K new business ARR) Private Health Insurance – Comprehensive medical coverage through BUPA for you and your family. Life & Disability Coverage – Life insurance at 4x your annual salary and income protection (75% of base salary for up to 60 months). Pension Plan – Standard Life pension with employer contributions to help you save for retirement. Parental Leave – Fully paid leave for birthing parents (18 weeks) and non-birthing parents (12 weeks). Statutory maternity and paternity pay applies thereafter. Vacation Policy – 25 days of paid vacation annually, increasing to 26 days after 2 years and 27 days after 4 years. Up to 5 unused days may be carried over each year. Paid Holidays – UK bank holidays plus a company-wide winter break from Christmas Eve through New Year’s Day. Wellness Benefits – £50 monthly wellness allowance, plus access to the Health Assured Employee Assistance Programme (EAP) offering confidential counseling, webinars, health checks, and wellbeing resources. Work-from-Home & Connectivity Allowance – £100 per month included in payroll for phone/internet, plus up to £75 monthly reimbursement for coworking space or coffee shop use. Learning & Development – Up to £200 annually reimbursed for lifelong learning and professional development. Workspace Setup – New hires can be reimbursed up to $300 USD for home workspace setup. Connection Perks – Enjoy up to £15 twice per month reimbursed for a virtual or in-person lunch with a co-worker. Recognition Program – Receive HiThrive points valued at $100 USD per year of employment to redeem for gift cards, items, or charitable donations. Flexible Work – Flexible hours and remote-friendly culture supporting work-life balance. Diversity, Equity, and Inclusion Statement At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves.  We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain  a diverse, equitable and inclusive ecosystem. Equal Opportunity Employment Statement Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Chartbeat's CCPA disclosure notice can be found here .

Location: Remote Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance. Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. As part of our OMS product portfolio, Lineup and FatTail provide media owners with an end-to-end order management solution built for ad sales teams across news, digital, streaming, B2B, OOH and other segments. Reports to: VP Sales Location: United States About the Role As Sales Director, North America, reporting to the VP Sales, you will own new business within an assigned North American market segment, converting assigned and self-sourced opportunities into new-logo ARR across FatTail and Lineup. Based in the United States, this is an individual contributor role focused on driving end-to-end sales execution across core enterprise accounts. Who We’re Looking For 8+ years of enterprise software sales experience delivering consistent multi-year quota attainment in a high-ACV, long-cycle sales motion. Deep domain knowledge of the media industry and established credibility with media software buyers. Expertise in structured sales methodologies such as ValueSelling and MEDDPICC, alongside a rigorous commitment to forecast and pipeline accuracy. Proven track record of revealing underlying customer business needs and manufacturing urgency where no forced customer event exists. Commercial acumen to structure and negotiate multi-year enterprise software agreements covering SaaS licensing, implementation, and custom development components. A collaborative, curious, and driven mindset with a proven history of running deals as team pursuits across Pre-Sales, Marketing, Product, Finance, and Professional Services. Willingness to maintain a North American travel and industry event schedule (approximately 40% onsite travel). Day-to-Day Responsibilities Own and achieve the annual new business quota within your assigned North American market segment. Generate a strong self-sourced annual pipeline above and beyond marketing-generated leads. Own deal execution end-to-end without escalation for core ideal customer profile (ICP) opportunities. Maintain a high win rate against sales-qualified leads and ensure accurate, real-time CRM tracking. Assume and advance assigned pipeline opportunities without stage regression using structured methodologies like ValueSelling. Build lasting credibility and customer references across your segment to establish local market authority. Collaborate across internal teams to refine deal drivers, pivot sales strategies, and analyze win/loss rationale. Compensation & Benefits Salary range: $150,000 Base + 10% Commission (annual quota: $1.2-1.8M new business ARR) Comprehensive Health, Dental, and Vision Insurance 401K with company match (100% of the first 3% and 50% of the next 2%) Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents Phone and internet stipend Wellness, learning, and coworking reimbursements Flexible work hours Unlimited PTO 11 paid holidays and December holiday closure Annual In-Person Event Diversity, Equity, and Inclusion Statement At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves.  We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain  a diverse, equitable and inclusive ecosystem. Equal Opportunity Employment Statement Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Chartbeat's CCPA disclosure notice can be found here .

Location: NYC Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance. Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. As part of our OMS product portfolio, Lineup and FatTail provide media owners with an end-to-end order management solution built for ad sales teams across news, digital, streaming, B2B, OOH and other segments. Reports to: Chief Commercial Officer Location: United States About the Role As VP Sales, reporting to the Chief Commercial Officer, you will lead the global new business organization responsible for building and converting pipeline into consistent new-logo ARR across FatTail and Lineup. Based in the United States (New York City metro area preferred), you will manage a distributed team of 3+ enterprise sellers across North America and international markets. Who We’re Looking For 10+ years of enterprise software sales leadership experience delivering consistent multi-year quota attainment. Proven track record of building and leading globally distributed teams pursuing international customer opportunities. Deep domain knowledge of the media industry and established credibility with media software buyers. Fluency in structured sales methodologies such as ValueSelling and MEDDPICC, alongside a rigorous commitment to forecast and pipeline accuracy Demonstrated ability to uncover underlying customer business needs and build urgency to instigate sales opportunities. Sophisticated commercial acumen to negotiate complex, multi-year enterprise software agreements covering SaaS licensing, implementation, and custom development components. A collaborative, curious, and driven mindset with a track record of running deals as team pursuits across Pre-Sales, Marketing, Product, Finance, and Professional Services. Willingness to maintain a global travel and industry event schedule (approximately 30% onsite travel). Day-to-Day Responsibilities Own and achieve the annual global new business quota in new business ARR growth. Lead, coach, and recruit a team of enterprise sellers to own deal execution from lead generation through close. Generate Sales-team sourced annual pipeline above and beyond Marketing-sourced pipeline. Maintain a strong new business win rate against sales-qualified leads. Accelerate enterprise sales cycles through active inspection and direct intervention on stalled deals. Review win/loss rationale to convert customer wins into fast-follow strategies for lookalike prospects and new customer segments. Flex between supporting sellers on complex multi-variable deals and leading strategic pursuits directly. Compensation & Benefits Salary range: $225,000 Base + $225,000 Target Variable Compensation Comprehensive Health, Dental, and Vision Insurance 401K with company match (100% of the first 3% and 50% of the next 2%) Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents Phone and internet stipend Wellness, learning, and coworking reimbursements Flexible work hours Unlimited PTO 11 paid holidays and December holiday closure Annual In-Person Event Diversity, Equity, and Inclusion Statement At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves.  We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain  a diverse, equitable and inclusive ecosystem. Equal Opportunity Employment Statement Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Chartbeat's CCPA disclosure notice can be found here .

Location: Remote; New York Workplace: Remote Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Staff Software Engineer, Data Infrastructure to support our mission. This role is remote, with optional in-person attendance in either the New York or San Francisco office. About the Team The Data Foundations team at Patreon builds the pipelines, models, and infrastructure that power both customer-facing and internal data products. The Data Infrastructure function within the team owns the foundational platform — streaming, batch, and data lake infrastructure — that every data pipeline, analytics workload, and ML system at Patreon runs on. You'll join a small, high-craft team that partners across Product, Data Science, Infrastructure, and the rest of Engineering to make sure the platform underneath all of that work is reliable, scalable, and easy for other engineers to build on. About the Role - Architect, build, and operate large scale batch and streaming platforms that directly power Patreon product features, analytics, and experimentation. - Stand up and scale event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time data ingestion, transformation, aggregation, and delivery to different data storage systems. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate pipelines with minimal friction. - Partner with the broader Infrastructure, Platform, and product engineering to drive architectural decisions across storage, compute, deployment, and orchestration to align the data ecosystem with Patreon’s roadmap. - Build the tooling, monitoring, and observability that gives engineers confidence in the data platform's reliability and performance. - Mentor other engineers on infrastructure and streaming best practices, and help shape the long-term data infrastructure roadmap. What you'll need: - 8+ years of software engineering experience, including 4+ years focused on data or platform infrastructure. - Deep, hands-on experience architecting both batch (Airflow, Dagster, or similar) and stream processing systems at scale (Spark, Flink, Kafka Streams, or similar). - Familiarity with data quality, lineage, observability, and governance tooling. - Strong programming skills in Python (Java, Scala, or Go a plus) and SQL. - Familiarity with cloud infrastructure and broad fluency across data stores: Object storage (S3), RDMS (MySQL, or Postgres, etc.), Key value (DynamoDB), OLAP (Clickhouse, Pinot, or Druid, etc.), search/indexing (Elasticsearch) plus data flow patterns for keeping them in sync with source systems. - Excellent collaboration and communication skills; comfortable driving cross-functional infrastructure decisions. - Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent. Bonus if you have: - Experience with Delta Lake/Iceberg, AWS, or Databricks. - Contributed to open-source streaming or infrastructure tooling. - Experience supporting ML/AI workflows, training pipelines, or evaluation systems. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: Remote - US About the Job: LaunchDarkly is seeking a Senior Director, Revenue Accounting and OTC Operations to lead our global revenue accounting organization. In this role, you will proactively partner with GTM, Legal, Deal Desk and Product to define the strategy and operating model for how we quote and contract, and design policies and systems that support scalable and predictable growth, reduce friction for customers and internal teams, and protect revenue quality. You will be responsible for order management, billings, collections, revenue and commissions accounting, ensuring accurate metrics and financial reporting, and strong internal controls and compliance with U.S. GAAP in recognizing revenue. This role is ideal for a strategic, hands-on revenue accounting leader with a customer-centric mindset, who is comfortable driving change across multiple functions at scale, and combines deep technical revenue accounting expertise with operational leadership, exceptional communication skills, and the ability to influence across an evolving organization. Responsibilities: Lead the global revenue accounting and OTC operation functions and help shape the controllership roadmap in support of company growth and operational maturity Own the accounting for all revenue streams and commissions, including the monthly, quarterly, and annual close process to ensure timely and accurate financial results and metrics reporting Serve as the company's subject matter expert on revenue recognition, providing technical guidance to executive leadership and GTM business partners Collaborate closely with the Data team on metrics reporting (including ARR, NNARR, ACV), and FP&A on forecasting assumptions and other matters affecting revenue accounting Partner closely with GTM, Deal Management, Legal and Product to define contract structures and approval matrix to support a scalable deal process with a balance of strong governance and a practical and business-oriented approach Strengthen the company’s internal control environment, including SOX readiness and execution, process documentation, control design, and remediation efforts where needed Be responsible for managing the annual external audit for revenue related areas and partnering with auditors to ensure efficient execution and high-quality deliverables Lead the design and execution of scalable OTC workflows and system processes that improve accuracy, reduce manual effort, and support a high-growth SaaS environment Partner with Technology teams and business stakeholders on ERP and system enhancements, integrations, and reporting improvements Build management reporting and KPIs for the revenue accounting organization to improve visibility into efficiency, quality, and operational capacity Mentor, develop, and retain a high-performing accounting team, creating clear accountability, strong development paths, and a culture of operational excellence Serve as a trusted partner to leadership by balancing strong governance with practical, business-oriented problem solving Qualifications: 12+ years of progressive accounting experience, including a mix of Big 4 public accounting and industry leadership experience in multi-entity, public-company SOX environment Hands-on systems orientation, with experience improving ERP workflows, reporting, and automation across accounting processes. Experience in NetSuite (or similar ERP), CPQ and SFDC Strong knowledge of U.S. GAAP, ASC 606, revenue cycle operations, internal controls, close processes, and financial reporting requirements Demonstrated success leading teams through scale, process improvement, and organizational change Experience building and improving OTC cycle operations in a fast-paced SaaS or technology company Demonstrated track record of driving process transformation through automation, data, and AI enabled solutions Proven ability to partner cross-functionally and influence outcomes across Finance, Product, Legal, Sales, and executive leadership without direct authority Strong executive presence, sound judgment, and the ability to communicate clearly with senior leaders and auditors Ability to move between strategic leadership and detailed execution with a high degree of ownership Pay: Target pay ranges based on Geographic Zones* for Level M5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870** Zone 3: All other US locations - $182,600 - 251,020** All Zone Inclusive of 20% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

RELOCATION TO GERMANY adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. As a Data Engineer on this team – you’ll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast. Your Mission & Who We Are Looking For: Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second. Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You’ll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed. Pipeline bottlenecks don’t survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference. You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus. The bridge between Data Science and Backend. You’ve worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus. Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn’t optional. Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. Go Big. Own projects with impact on 770M users and push adtech boundaries. Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. Be Direct. Solve problems openly and collaborate across teams. Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.

Location: Poland Company Background Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia. Project Description The project focuses on developing AI-driven solutions for advertising campaign analytics, insights, and automation. The Lead AI Engineer will provide technical leadership across two GenAI teams working on conversational agents and platform capabilities. Technologies Python, FastAPI, SQLAlchemy, Pydantic TypeScript, NestJS REST APIs, SSE, WebSockets Core LLM concepts, prompt engineering, reasoning strategies, RAG, structured outputs, tool calling Agentic and graph-based workflows, multi-agent orchestration SQL, relational databases, PostgreSQL, data modeling Microservices, API routing, caching pytest, Jest, LLM evaluation tests What You'll Do Lead and mentor two GenAI teams developing conversational agents, manage team roadmaps, foster team collaboration, and oversee project delivery; Develop and implement innovative AI-driven solutions to advance platform capabilities; Collaborate with stakeholders, including developers, product managers, and business operations teams, to align goals and deliverables; Lead the development of conversational agents from concept through production deployment; Research advanced AI technologies and integrate external APIs and services into AI-driven solutions; Job Requirements Bachelor’s degree in Computer Science or a related field; 3+ years of experience leading engineering teams; 6+ years of experience building customer-facing full-stack applications; 2+ years of hands-on experience with Python, including FastAPI, asynchronous programming, SQLAlchemy ORM, and Pydantic; Experience with TypeScript and NestJS; Experience designing and implementing AI agents using LangGraph and/or LangChain, including graph-based workflows, tool calling, structured outputs, and checkpointing; Strong understanding of LLM concepts and AI engineering practices, including RAG, prompt engineering, LLM parameters, guardrails, observability, and tracing; Understanding of machine learning concepts, including models, model validation, and feature engineering; Experience designing REST APIs and implementing streaming responses using SSE and/or WebSockets; Experience working with SQL and NoSQL databases, including relational databases such as PostgreSQL; Experience with automated testing using pytest, Jest, and/or evaluation tests for AI systems; Familiarity with distributed system design, microservices, caching, API routing, and multi-agent orchestration; Proactive and collaborative mindset, with a passion for making an impact on engineering teams, products, and customers; Good written and spoken English at B2 level or higher; Willingness to participate in pager duty rotations as needed; Nice To Have Experience with vector databases; Familiarity with columnar data warehouses such as Vertica or similar platforms; Experience with AWS and boto3; Experience with MCP, A2A, or text-to-SQL solutions; Familiarity with feature-flagging platforms such as Unleash or LaunchDarkly; Experience using AI-assisted development tools such as Claude Code; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

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 Role As an AV Production Specialist, you'll own the day-to-day operation of the event technology behind how Anthropic communicates — the all-hands, the executive presentations, the live broadcasts. You are the owner of these productions: accountable for their technical outcome from the moment a request arrives through to the follow-up after the room clears, and the technical partner our executives, events team, and communications partners rely on to make them land. This is an operations role with engineering depth behind it. You'll work across the same technology stack as our broadcast engineering practice with your center of gravity in execution and service. You'll keep our event spaces in a state of readiness through preventative maintenance, and be the calm, capable presence that executives, comms partners, and event producers learn to trust. Your work directly enables the collaboration and transparency that advance our AI safety mission. Responsibilities Live Event Production & Run-of-Show Own the technical execution of live and hybrid events, from small executive presentations to company-wide all-hands broadcasts reaching thousands of participants Serve as technical director for live productions across the full range, up to and including executive presentations and company-wide broadcasts Operate production systems during live events including video switchers, audio consoles, camera systems, playback, and streaming encoders Build and run the technical run-of-show: cue sheets, source lists, rehearsal schedules, and backup plans Direct contractors and onsite technicians during productions, delegating clearly under time pressure Troubleshoot and escalate complex production issues with clear diagnostic context Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language Handle confidentiality and access requirements for sensitive sessions, including recording and streaming controls Event Intake, Scoping & Scheduling Own the event technology intake process end-to-end: request triage, technical scoping conversations, and staffing Right-size production approach to event type, translating stakeholder goals into an equipment and staffing plan that fits the constraints and scope of our team’s SLA Take on genuinely novel events and leave a repeatable standard behind — a template, runbook, or gear list that makes the next one easier than the first and repeatable by the team Maintain the event technology calendar and coordinate coverage across the AV Operations team Partner with Events, Internal Communications, and Workplace teams on lead times, expectations, and readiness Support Operations & Room Health Execute preventative maintenance programs and recurring room sweeps across event spaces and conference rooms Maintain and test inventory of equipment including wireless microphones, cameras, and portable production gear pre event, following event production framework Contribute to runbooks, standard operating procedures, and knowledge base documentation Surface recurring operational pain points to AV Engineering as candidates for systemic fixes You May Be a Good Fit If You: Have 8+ years of hands-on experience in AV operations, live event production, or technical event support Have owned the technical side of live productions end-to-end — not just operated a single position Bring working fluency across event audio, video, camera, and streaming systems, with enough depth to diagnose problems rather than only report them Are energized rather than drained by being the front-facing technical partner to executives and event producers Bring structure to ambiguity by building systems for repeatable events Strong Candidates May Also Have: Technical direction for corporate broadcasts, conferences, or multi-camera productions Q-SYS DSP platform, including reading and reasoning about existing audio/video routing and control designs PTZ and professional camera systems, camera control units, and multi-camera workflows Video conferencing platforms and hardware including Google Meet, Zoom Rooms, and hybrid meeting technologies Live streaming workflows including encoders and encoding settings, contribution and delivery protocols (RTMP, SRT, HLS) Network fundamentals for AV-over-IP including multicast, VLANs, QoS, and bandwidth management Ticketing and workflow systems such as Jira, and building intake or request workflows within them Coordinating AV contractors, integrators, and labor for event coverage Role Specific Location Policy: This role will be based in our San Francisco HQ This role is expected to be in office 5 days per week Occasional evening and early-morning coverage is expected around major events 4-6 weeks of travel annually will be expected for this role for distributed event support as needed Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 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. 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: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, Platform Engineering (L2) About the job This position is an engineering role within Twilio Platform Engineering, suited to an engineer who is building hands-on experience with highly available, large-scale distributed systems. Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L2 engineer, you will help build and operate backend services at scale, working alongside more senior engineers on our dual-cloud infrastructure spanning Amazon Web Services (AWS) and Microsoft Azure. You'll get hands-on with Kubernetes, contribute to Terraform-based infrastructure automation, and write production code to help keep distributed systems healthy under real production load, using modern AI-assisted tooling to move faster and ramp up your skills. Responsibilities In this role, you’ll: WEAR THE CUSTOMER'S SHOES: Help design, build, and operate services and automations that support Kubernetes clusters at scale, under the guidance of senior engineers. Work with product management and technical leadership to turn well-scoped tasks into working code. BE AN OWNER (CODE QUALITY): Participate in code reviews and follow established patterns and testing standards (unit and integration testing) across the team and platform. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Support cloud configurations across AWS and Azure environments using Infrastructure as Code (Terraform). Help maintain observability coverage, including metrics, alerts, and basic distributed tracing, across core data pipelines. CHAMPION ENGINEERING HEALTH: Build awareness of clean architectural practices. Flag technical debt, bugs, and small-scale system issues to your team as you encounter them. GROW AND COLLABORATE: Actively seek feedback and mentorship from senior engineers, participate in sprint planning, and share what you learn with peers as you grow into a more senior role. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience: 1-2+ years of professional software engineering experience, including some exposure to building or operating backend services using Kubernetes. Familiarity with basic Kubernetes operations (deployments, pods, services) is expected; deep production-scale cluster-upgrade experience is not required. Modern Development Workflow: Practical experience with, or strong desire to learn, AI-assisted development tools (e.g., Claude Code) to help write code, automate testing, and support debugging workflows. Deployment Orchestration: Some exposure to GitOps workflows (e.g., ArgoCD) and CI/CD pipelines (e.g., Harness or an equivalent platform); willingness to learn our specific tooling on the job. Language Proficiency: Working knowledge of at least one of Shell, Terraform, YAML, or Go (Golang), with a willingness to build proficiency across the rest. Cloud Infrastructure: Some experience with cloud environments, ideally basic exposure to AWS core services (such as EC2, S3, EKS) or their Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, AKS). General familiarity with networking concepts (VPC/VNet basics) is a plus. Infrastructure as Code: Basic familiarity with Terraform or similar IaC tools. Distributed Systems: Foundational understanding of distributed datastores, caching layers, or asynchronous event streaming (e.g., Kafka or similar queuing systems), through coursework, projects, or professional experience. Systems Mindset: Solid computer science fundamentals and data structures knowledge, with an eagerness to learn how to build self-healing cloud architectures. Desired: Some exposure to containerized infrastructure (Docker, Kubernetes) in coursework, internships, or professional projects. Curiosity about advanced deployment strategies (canary, blue/green); prior hands-on experience not required. Interest in policy-as-code tools such as OPA/Gatekeeper. Interest in OpenTelemetry or distributed tracing concepts. Any exposure to network topology, proxy layers, or mail transfer agent (MTA) protocols. Coursework or personal projects involving distributed datastores, caching, or event streaming (e.g., Kafka). Interest in multi-cloud environments and a desire to build that experience over time. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. $116,960.00 to $146,200.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 10/31/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland Workplace: remote At TechBiz Global, we provide recruitment services to top clients from our international portfolio. We are currently looking for a Senior Data Scientist with strong hands-on experience in training AI models, particularly Large Language Models (LLMs) and Small Language Models (SLMs), using GPU infrastructure and real-world datasets . The ideal candidate should be based in Poland and able to clearly demonstrate their technical expertise, explain the tools and frameworks they use, and describe the complete model-training process—from data preparation to deployment and performance optimisation. Key Responsibilities Train, fine-tune, and optimise LLMs and SLMs using GPU infrastructure. Build and manage end-to-end machine learning training pipelines. Prepare, clean, structure, and process large volumes of real-world data. Select appropriate models, frameworks, tools, and training approaches based on project requirements. Apply techniques such as supervised fine-tuning, transfer learning, prompt tuning, and parameter-efficient fine-tuning. Monitor model performance and improve accuracy, speed, scalability, and resource utilisation. Work with structured, unstructured, time-series, telemetry, log, and streaming data. Clearly document and explain the tools, methods, and technical decisions used throughout the model-training process. Collaborate with engineering, data, and business teams to move models from experimentation into production. Troubleshoot issues related to model quality, training stability, GPU performance, and data pipelines. Proven professional experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or similar role. Strong hands-on experience training or fine-tuning LLMs and/or SLMs. Practical experience using GPUs for AI model training. Strong Python programming skills. Experience with machine learning and deep-learning frameworks such as: PyTorch TensorFlow Hugging Face Transformers Experience with GPU-related technologies and environments, such as CUDA, distributed training, cloud GPU platforms, or GPU clusters. Strong understanding of model-training workflows, including data preparation, tokenisation, model selection, training, evaluation, and optimisation. Ability to clearly explain previous AI projects, tools used, technical challenges, and achieved results. Experience working with large and complex datasets. Good English communication skills. Based in Poland. Relevant Industry Experience Experience in one or more of the following industries or data environments would be highly valuable: E-commerce Finance or banking Insurance Healthcare or medical data Telemetry and IoT data Application or system logs Real-time and streaming data High-volume enterprise data environments Nice to Have Experience with distributed model training. Experience with LoRA, QLoRA, PEFT, quantisation, or model compression. Experience with MLOps tools and model deployment. Knowledge of Docker, Kubernetes, MLflow, or similar technologies. Experience using AWS, Azure, or Google Cloud for AI workloads. Experience deploying AI models into production environments. Knowledge of data privacy, security, and governance requirements.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Description: We are looking for an independent, dedicated Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you’ll be doing: Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc. Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models Collaborate with team members on drafting publications and patent submissions Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment What we’re looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post 7+ years of experience in demonstrable research experience in industry or academia Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum 7 years), Evidence of leading technical developments by several publications in top-tier conferences like CVPR, ECCV, ICCV, SIGGRAPH or similar Solid background in one or more of the following: (i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design; (ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner; (iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar Desired qualifications: Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing Experience in image processing theory and methods, evidenced by the development of practical designs in this area Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc. Benefits: Discretionary bonus opportunity Hybrid Working (within Flexmodes) Private Medical Insurance Dental Scheme 25 days holiday per year On Site Gym Subsidised Café Free soft drinks On site bar Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Our distributed platform combines high-performance storage, compute, and service layers for processing and serving massive, structured, time-series datasets - built in C++ with a distributed system architecture, real-time streaming, RPC-based data transfer, and columnar on-disk storage that powers data processing and analytics workflows. Design, develop, and maintain core components across our distributed storage, compute, and service platforms - including storage engines, query and compute execution, RPC/networking layers, and distributed coordination (routing, partitioning, replication). Partner with internal stakeholders across research and engineering teams to translate data-access, compute, and performance requirements into concrete design and implementation work. Investigate and resolve production issues - from correctness bugs to performance regressions. Participate in code review, system design, feature development, and productionization. What You'll Bring: Degree in Computer Science or a related field. 2+ years of professional software engineering experience. Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O). Proficiency in modern C++ (C++11 or higher); comfort with STL. Solid working knowledge of UNIX/Linux development environments. Experience using AI-assisted coding tools (e.g., Claude Code, OpenCode) to accelerate development. A clear, proactive communicator who works well with a globally distributed team. Nice to Have: Python Exposure to distributed systems concepts (replication, sharding, consensus), query/compute engines, or columnar/analytical storage formats. Experience with RPC frameworks. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Задачи: — Разработка и развитие кода по принятым общебанковским/командным стандартам. — Обеспечение качества кода и полноты реализации требований. — Проработка задач: уточнение требований, анализ рисков, декомпозиция, оценка, согласование ожидаемого результата. — Самостоятельное ведение задач от согласованного решения и до запуска в промышленной среде. — Выполнение PoC и R&D работ для проверки подходов в рамках конкретной задачи/сервиса. — Участие в разборе проблем в промышленной среде совместно с командой сопровождения. — Поиск и устранение дефектов и проблем производительности (в том числе по результатам нагрузочного тестирования). — Взаимодействие со смежными командами по интеграциям и техническим вопросам. — Участие в ведении технической документации по проекту; технические консультации. Требования: — Общий стаж коммерческой разработки на Java от 4 лет. — Уверенные навыки разработки потоковых сервисов (на Kafka / Kafka Streams). — Опыт работы с объектными хранилищами (MinIO, S3). — Опыт работы с SQL БД (Oracle, PostgreSQL, YDB). — Опыт работы с Kubernetes (понимание базовых сущностей, умение диагностировать проблемы развёртывания и конфигурации приложений). — Опыт работы с инструментами контейнеризации и понимание CI/CD на уровне пользователя. — Опыт работы с REST/SOAP/gRPC. — Уверенные навыки работы с Git. — Опыт разработки высоконагруженных систем. — Опыт применения принципов проектирования и архитектурных паттернов. — Поддержание чистого и читаемого кода, обязательное участие в code review, покрытие изменений unit- и интеграционными тестами. — Будет плюсом: опыт работы с Apache Flink, опыт работы в банковской сфере. Условия: — Стабильный и прозрачный доход: размер заработной платы обсуждается по итогам собеседования + квартальная премия по результатам KPI. — Возможность влиять на крупные проекты, которые важны миллионам пользователей. — Полную удалёнку или гибрид на выбор, а также уютный ИТ-хаб в Москве, Санкт-Петербурге, Екатеринбурге и сезонный коворкинг в Сочи. — Сложные и интересные задачи, современный стек технологий. — Заботу о вашем здоровье: программа ДМС с первых дней работы, куда входит стоматология, обслуживание в лучших клиниках города, страхование и компенсация 10-ти дней больничного. — Возможность вертикального и горизонтального карьерного роста: регулярно проходят тренинги, вебинары, митапы и демо-дни. — Оплату посещения профильных конференций и курсов, помощь с подготовкой к публичным выступлениям и написанием статей на Хабр. — Доступ к бесплатным корпоративным библиотекам Alpina Digital, MyBook и бизнес-изданий. — Предложения от Банка только для сотрудников: собственные спортзалы (Москва, Санкт-Петербург, Екатеринбург), а также скидки на услуги туристических агентств, продукты питания, в рестораны, бары, магазины. — Работа у трижды лучшего работодателя РФ по версии hh.ru, Forbes, РБК. — Программа развития AI-грамотности: треки по работе с нейросетями от базового до продвинутого уровня.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We are hiring a AI Platform Engineer to build the execution layer for Supabase's internal AI systems. Supabase is building an AI-native internal operating system: a common way of working across the company where AI carries a meaningful share of the operational load rather than sitting alongside it as an assistant. We are standing up a new central team to build those systems, enable the teams, and embed AI operations throughout the organization. You are the engineer on that team. The execution layer is yours. You will build the platform that actually runs agents: an event-triggered queue, a headless model-agnostic runtime, durable state so work survives a restart, a human review gate, atomic rollback, and full logging of every prompt, tool call and decision so any run can be reconstructed. You will build the evaluation layer that makes any of it trustworthy, because an agent that cannot be measured cannot be trusted with anything beyond reading. And you will build the agents themselves, across everything from executive reporting down to a layer of agents that watch the platform and improve it. This is a governance-heavy environment by design, and that is the interesting part of the problem. Agents are risk-tiered from read-only internal data through to external-facing output, with review depth, evaluation requirements and human approval scaling by tier. Some capabilities are permanently off limits: an agent may read and report, it may carry a human-authored update into a system of record once a human consents, and it may initiate contact within a strict budget, but it may never autonomously write a commitment (an owner, a due date, a status) into a shared work system. Your job is to make that structurally impossible rather than merely forbidden. You will be the only engineer on this platform. You will close open architecture decisions yourself, own the infrastructure end to end, and instrument the system so it reports its own return. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Ship the agent platform to production. An event-triggered queue, a headless model-agnostic runtime (choosing the runtime is an open decision you will close), durable state that survives a failed run, a human review gate, atomic rollback, and complete run logging in the warehouse. - Own the evaluation layer, and switch on the gate that depends on it. Golden suites with behavioral assertions rather than intuition, judge criteria with a written rubric, safety cases that must pass on every run, and a CI gate that blocks a regression from merging. This is the precondition for every agent that does anything beyond read internal data. - Build and register the agent portfolio. Reporting, drafting, linting, triage and question-answering agents across the executive, team-lead and individual-contributor layers, plus a meta layer that observes the platform and improves it. - Enforce governance in code. Risk tiers the pipeline actually enforces, least-privilege credentials per agent, tool-permission gates, a decision audit log, and autonomy classes where the dangerous class has no code path rather than a warning label. Nothing runs without a registered owner, tier, tool grant and human gate. - Design how the system contacts people. A hard interruption budget per person, message bundling instead of a stream of pings, and a structure that gives something useful before it asks for anything. Adoption depends on this more than on any other single design choice. - Own the platform tooling. The compiler and validator, inventory integrity, and the paths that distribute context and capabilities into the repositories and chat surfaces where work happens. - Compute the operating measures from production data. A pipeline from raw system activity through to a computed maturity grade per team, defensible enough that a team can dispute the result and be answered with the query rather than an opinion. - Instrument the platform's own return. A ledger that logs the work each agent absorbs and computes the monthly figure, so the value of the system is a measurement rather than a claim. HOW YOU'LL THINK RECURSIVE THINKING You build the generator, not the artifact. When you need thirty agents, you do not write thirty agents; you build the inventory, the compiler and the distribution path that makes the thirty-first cost an afternoon, then a meta layer whose job is to watch the platform, find its drift and file the fix. The evaluation layer is the same move applied to trust. You are not checking whether one agent is correct today. You are building the machine that decides whether every future agent is allowed to ship, which means the suite has to be right in a way the agent does not, and the thing that grades has to be graded too. INVERSION THINKING You start from the failure and work backward to the design. The rule is that an agent may never autonomously write a commitment into a shared work system. The weak implementation is an instruction in a prompt. The strong one is that the credential in the agent's tool grant physically cannot set an owner, a due date or a status, so no amount of clever input, prompt injection or model error produces the forbidden write. You reach for the second one first. Same for evaluation. Before writing a suite you enumerate how the agent can be wrong: an update that invents progress that did not happen, one that quotes a private channel into a public digest, one that is accurate and reads as an accusation, one that credits the wrong person. Then the suite is that list, each case caught before the agent ships rather than after it embarrasses someone. AI-NATIVE EXECUTION You use agentic tools on real work, in files and repositories, with the same rigor you apply to anything else you ship. You have a setup of your own and can describe it mechanically: what triggers it, what it is allowed to touch, where the human approves, what it logs, and how you found out the one time it went wrong. That experience is this job, generalized. You are building for async engineers across 40+ countries who will judge the platform by whether it saves them an hour or costs them one, so you are your own first user and your own harshest reviewer. YOU MIGHT BE A GOOD FIT IF YOU MUST HAVE - Have shipped production LLM agent systems that other people depended on. Not demos, not internal showcases. Systems with operational history, real users and at least one incident you can talk through. Prompt engineering on its own does not clear this bar. - Design evaluations, not spot checks. You build golden sets, write behavioral assertions, define judge rubrics, set pass thresholds and gate CI on the result. You can explain why "we reviewed a bunch of outputs and they looked good" is not evaluation. - Have done deep API work against the systems work actually lives in, and have authored MCP servers. You know the specific failure modes of those APIs, not just that they exist. - Own infrastructure end to end in Python on GCP, with a cloud warehouse and infrastructure as code. You provision, deploy, monitor and roll back your own systems, and you close architecture decisions rather than routing them onward. - Have taste about how software contacts humans. You treat every notification as spending a limited amount of trust. STRONG SIGNAL - Public work in this space. An open-source agent framework, an MCP server, an evaluation harness, or writing on agent reliability that other practitioners cite. - LLM observability and cost instrumentation. Tracing agent runs, attributing spend per run, and building the queries that turn raw logs into a report someone acts on. - You have built an internal platform that non-engineers adopted voluntarily, and can describe what you changed after watching them use it. WHAT SUCCESS LOOKS LIKE - The platform is boring. Agents run on a schedule and on events, state survives restarts, failed runs roll back cleanly, and every run can be reconstructed from its log. - Nothing ships unevaluated. Every registered agent has a real suite with safety cases, the gate blocks regressions, and when someone challenges an output the answer is a test case rather than an argument. - The dangerous action is impossible, not discouraged. An audit of any agent's credentials shows it cannot perform the writes it is not allowed to perform, and the audit log makes every consequential decision traceable. - Teams pull the platform instead of being pushed. Agents get adopted because the reports are useful and the contact is rare and well-timed, and each team ends up with at least one workflow that runs automatically. - The platform reports its own value. The work absorbed is measured and published, so the case for expanding it is made with data rather than enthusiasm. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Задачи: - Разработка и развитие кода по принятым общебанковским/командным стандартам. - Обеспечение качества кода и полноты реализации требований. - Проработка задач: уточнение требований, анализ рисков, декомпозиция, оценка, согласование ожидаемого результата. - Самостоятельное ведение задач от согласованного решения и до запуска в промышленной среде. - Выполнение PoC и R&D работ для проверки подходов в рамках конкретной задачи/сервиса. - Участие в разборе проблем в промышленной среде совместно с командой сопровождения. - Поиск и устранение дефектов и проблем производительности (в том числе по результатам нагрузочного тестирования). - Взаимодействие со смежными командами по интеграциям и техническим вопросам. - Участие в ведении технической документации по проекту; технические консультации. Требования: - Общий стаж коммерческой разработки на Java от 4 лет. - Уверенные навыки разработки потоковых сервисов (на Kafka / Kafka Streams). - Опыт работы с объектными хранилищами (MinIO, S3). - Опыт работы с SQL БД (Oracle, PostgreSQL, YDB). - Опыт работы с Kubernetes (понимание базовых сущностей, умение диагностировать проблемы развёртывания и конфигурации приложений). - Опыт работы с инструментами контейнеризации и понимание CI/CD на уровне пользователя. - Опыт работы с REST/SOAP/gRPC. - Уверенные навыки работы с Git. - Опыт разработки высоконагруженных систем. - Опыт применения принципов проектирования и архитектурных паттернов. - Поддержание чистого и читаемого кода, обязательное участие в code review, покрытие изменений unit- и интеграционными тестами. - Будет плюсом: опыт работы с Apache Flink, опыт работы в банковской сфере.

Location: USA Workplace: remote JTX is our trading app, and it runs on the fastest market infrastructure on Solana, which we also built. What nobody has done yet is make that speed something a trader can feel. That is this job. JTX is live. Two frontend engineers built it to this point and you would be the third. The work now is one to a hundred: harden what exists, make it hold up under real volume, expand onto mobile, and raise the ceiling on every screen a trader touches. We're a small team with product-market fit. That means: High ownership: every team member drives significant technical decisions and shapes our product roadmap. Fast execution: we ship rapidly and iterate based on real-world feedback. Progress, not motion. High quality bar: the details are the product. We don't trade them for speed. About the Position You'll own the surface of JTX across web and mobile: order entry, market data, charts, positions, execution quality, onboarding, and the wallet flows underneath all of it. The role suits a generalist with strong taste. You'll partner with design, product, and the infrastructure team, and you'll make architectural calls that stick for years. If you've spent time thinking about how markets actually work on Solana and want to build the product layer on top of that, this is the role. Stack: React 19 + TypeScript on Next.js. Jotai + TanStack Query. Tailwind with a token-based design system. TradingView Advanced Charts on our own datafeed. Privy wallets. WebSockets to our engine. Web ships as a PWA; native mobile apps are in development. What's Hard Right Now Data freshness: several live WebSocket streams (order book, trades, candles, stats) feed many panels at once; keeping them fast, consistent with each other, and honest through async gaps (stale quotes, pending fills) Performance: a data-dense terminal that stays smooth under constant streaming updates, including on mid-range hardware Security: wallet signing, session auth, strict CSP, hardened supply chain Shipping volume: three engineers own the entire surface of a live exchange; the backlog is bigger than the team, so throughput and prioritization are part of the job Keeping product behavior and design language consistent between web and mobile while being very attentive to nuances of each mobile platform Making execution quality something a trader can see in a glance instead of something they take on faith What You'll Do Build and own the JTX client across web and mobile Ship real-time trading interfaces: order books, charts, order entry, positions, fill and execution visibility Hit tight latency and render budgets against streaming market data, and decide what belongs on the client versus the server Build wallet and signing flows, including self-custodial and embedded wallet onboarding Own the shared component, state, and data layers the rest of the product team builds on Make architectural decisions that hold as the codebase, the team, and the user base grow by an order of magnitude Ship fast, watch real users, iterate What We're Looking For Attention to detail bordering on obsessive. You can look at a screen and say what is wrong with it, and it bothers you until it's fixed. 5+ years building production frontend, including something real-time, data dense, or financial Deep React and TypeScript. You can explain why a component re-rendered and then fix it. Mobile experience: React Native, Expo, or native iOS and Android Strong fundamentals: browser performance, memory, websockets, network behavior under load Security-first instincts around signing flows, key handling, and what should never touch a log Comfortable in a codebase that is already live. You can refactor and clean up without stopping shipping. Able to weigh business and engineering tradeoffs, and to explain complicated things simply Relevant Background If you have experience in any of the following, you may be a good fit: Trading terminals, exchange or brokerage frontends Consumer fintech apps at scale Charting, time series, or high-frequency data visualization (canvas, WebGL) Solana or EVM app development, wallet integrations, transaction signing Maintaining a public TypeScript library or design system

Задачи: — разработка систем автоматизации казначейства, риск-менеджмента, отчётности — добавление AI для точных прогнозов Требования: — опыт работы с Python от 5 лет — экспертный уровень владения SQL — знание PySpark — понимание принципов SOLID и asyncio — опыт работы с HDFS и Kafka Вакансия открыта в трёх продуктовых командах с одинаковым базовым стеком и уровнем задач: — BigData: Spark (batch+streaming), сложные SQL-оптимизации, DWH/Data Lake — Микросервисы: Python (FastAPI/Django), API, интеграции с системами

Задачи: — Разрабатывать и оптимизировать критически важные компоненты интеграционной платформы. — Поддерживать и улучшать архитектуру, проектировать новые функции. — Внедрять лучшие практики написания кода, тестирования и развертывания отказоустойчивых систем. — Проводить code review и менторить других разработчиков. Требования: — Опыт работы в финтехе (банки). — Более 5 лет опыта разработки на Java 17+. — Глубокие знания Spring Framework (Boot, Data, Security, WebFlux). — Опыт работы с событийными микросервисными архитектурами (Kafka, Kafka Streams, Artemis). — Опыт работы с WSO2, Gravitee, Avro и Schema Registry. — Знания SQL, Docker, Kubernetes и CI/CD (Jenkins). Условия: — Возможность профессионального и карьерного роста в различных проектах. — Работа в распределенной команде профессионалов. — Корпоративные скидки на изучение иностранных языков, фитнес и образовательные курсы. — Гибкий формат работы с возможностью удаленного взаимодействия.