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Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp Economics Lab is the go-to source for understanding how businesses spend on and adopt AI. Built on Ramp’s $200B+ business spend dataset, our flagship Ramp AI Index https://ramp.com/data/ai-index tracks the AI economy through actual business spend data. We help CFOs and finance teams understand what these trends mean for their businesses, and our research is regularly cited by outlets including the Financial Times, The Wall Street Journal, and Bloomberg. You will work with Ara Kharazian https://www.linkedin.com/in/akharazian/, lead economist. We’re hiring an analytical, resourceful researcher to own and expand this work: run the Ramp AI Index, develop new metrics on AI spending and adoption, explore questions about AI ROI, and extend our research internationally. You’ll turn findings into clear reports, charts, presentations, and interactive tools that help CFOs and finance teams make better decisions. You will also build our customer-facing research function: developing Ramp’s outlook on AI, meeting with customers and prospects, and translating our data into practical recommendations for business planning, budgeting, and AI strategy. You’ll partner with the growth team to package and distribute this work through reports, web content, presentations, and events that reach finance leaders. This role combines economic judgment, applied data science, public writing, data visualization, and executive communication. You should be able to move from an important question to credible analysis, a clear visual or argument, and advice a business leader can act on. WHAT YOU NEED - 5+ years of experience in an analytical role, such as investment banking, equity or industry research, consulting, business operations, data science, or economics. We care about evidence of strong analysis, clear communication, and ownership across projects. - Strong perspectives on the economics of AI, economic policy, new media, and writing - Strong knowledge of SQL - Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards - Track record of shipping high-quality research, writing, and thought leadership under short, non-academic timelines - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions - Active reader of the news in economics, business, and AI trends - An advanced user of AI for data science, and an eye for good charts and web design (we vibecode ramp.com/data http://ramp.com/data ourselves) NICE-TO-HAVES - Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) - Experience within the payments and financial technology space BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. Business Development Representative (Denver) About the role Fivetran and dbt Labs are looking for a Business Development Representative (BDR) in Denver to start the conversations that win us our next customers. As part of the Sales organization, you will work side by side with our Sales Directors and Account Executives to break into new business accounts and book meetings with decision makers at every level. This is primarily an outbound role. Most of your time goes to mapping accounts, finding the right people and starting conversations, with a share of inbound leads mixed in. You will also help shape our outbound strategy and team processes as the team grows. Location: Denver, CO (hybrid). This is a full-time position, and candidates must be located in Denver and able to work in the office three days a week (Tuesday, Wednesday and Thursday). What you'll do Outbound prospecting (the core of the role) Map target accounts and identify key decision makers, from C-level to data analysts. Run personalized outreach by phone, email and LinkedIn, starting from pre-built cadences by industry, persona and use case and tailoring them to each account. Run team plays, such as Snowflake customer and SAP use cases. Learn what data challenges prospects face, explain what we do for companies like theirs, and secure sales-qualified opportunities for Account Executives. Inbound leads Respond to and qualify inbound leads, and set meetings for Sales Directors and Account Executives. Team and growth Partner with Account Executives, Marketing and Alliances to drive pipeline and exceed goals. Log activity and categorize lead information accurately in Salesforce. Help define our outbound strategy across channels, and iterate on team processes as we scale. Master our consultative, Command of the Message, and Challenger sales approach, while developing enough fluency in dbt and Fivetran to articulate how the combined platform drives business value. Tools you'll use: Salesforce, Outreach.io, LinkedIn Sales Navigator, Nooks, ZoomInfo and various AI tools. What you bring You are a good fit if you: Have 6+ months of inbound or outbound sales or sales development experience, including hands-on outbound cold calling. Have prospected into business customers and are comfortable with both VP-level and individual-contributor pitches. Communicate well, verbally and in writing, with strong grammar. Have a high-level understanding of the data and analytics space. Collaborate well in a fast-paced environment and manage a high volume of work efficiently. Are values-oriented and share our company values. You'll have an edge if you: Have 1+ years of previous SDR/BDR outbound experience. Have prior experience in analytics, ETL, BI and/or open-source software. Hiring Process Interview with Talent Acquisition Partner Interview with Hiring Manager Peer Interview BDR Challenge Final interview with VP of BDRs Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. OTE (On Target Earning) $80,000 — $100,000 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Sydney, New South Wales, Australia, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the role: We're hiring a Business Development Representative to join our Sydney office and help accelerate pipeline generation across our Commercial and Enterprise business segments. This is a full-time position based out of our Sydney office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two-three days in the office each week to connect and build as a team. As a BDR you’ll partner closely with Sales Directors to identify and engage target accounts, multi-thread into strategic organizations, and generate qualified pipeline through personalized outreach across phone, email, LinkedIn, and video. You’ll work directly with modern data leaders and technical buyers at fast-growing and enterprise organizations evaluating cloud data infrastructure, analytics modernization, AI initiatives, and data integration strategies. Technologies You’ll Use Salesforce, Outreach, LinkedIn Sales Navigator, ZoomInfo, Lusha, Nooks, ChatGPT and AI prospecting tools, Gong, Google Workspace, Slack, Vidyard / Loom In this role, you can expect to: Generate qualified pipeline through outbound prospecting across target accounts Research accounts, industries, and personas to craft personalized outreach Partner closely with Sales Directors to build account strategies and prioritize opportunities Execute multi-channel outbound campaigns using phone, email, LinkedIn, and video Conduct discovery conversations to uncover business challenges, technical pain points, and initiatives Engage data, analytics, engineering, IT, RevOps, and executive personas Maintain accurate activity, contact, and opportunity data within Salesforce Collaborate cross-functionally with Marketing, Partnerships, and Sales leadership Leverage AI tools and sales technologies to improve prospecting efficiency and messaging quality Consistently achieve and exceed activity, meeting generation, and pipeline target You are a good fit if you: 9+ months of experience in SaaS, cloud, infrastructure, or technology sales development Strong written and verbal communication skills with the ability to engage technical and business stakeholders Ability to learn and articulate technical concepts related to data, analytics, cloud, and AI infrastructure Experience with outbound prospecting and multi-threaded account engagement Strong organizational skills and ability to manage multiple accounts and priorities simultaneously Comfortable using AI tools such as ChatGPT or sales engagement platforms to improve research, messaging, and productivity Coachable, curious, resilient, and motivated by a high-performance sales environment Fluent in English. Bonus points if you're bilingual You'll have an edge if: Experience selling into data, analytics, engineering, or IT organizations Familiarity with modern data stack technologies such as Snowflake, Databricks, dbt, or cloud data warehouses Experience using Outreach, Sales Navigator, ZoomInfo, or Gong Previous experience working in a high-growth SaaS environment Demonstrated success exceeding outbound pipeline generation targets Compensation & Benefits: Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. Equity StakeBenefits - dbt Labs + Fivetran offers: 20 PTO days annually Excellent healthcare Paid Parental Leave What to expect in the interview process (all video interviews unless accommodations are needed): Interview with Talent Acquisition Partner Interview with Hiring Manager Interview with Peer Final Interview - SDR Challenge #LI-HYBRID Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes Innovation & Continuous Improvement Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics Evaluate and implement emerging technologies to modernize integration architecture Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards Mentor team members on technical best practices, code reviews, and documentation standards Minimum qualifications Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses) Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606) Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions Track record of leading technical workstreams during ERP transformations or major system migrations Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams Preferred qualifications Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures) Experience leveraging agentic development workflows Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards 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: $270,000 — $315,000 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: Mississauga Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. PointClickCare is searching for a Principal Software Data Engineer who will contribute to all phases of the software development life cycle, and will play a crucial role in designing, developing, and maintaining large scale Data Platform and data pipelines based on microservices architecture, while also encouraging and optimizing the daily execution of technical excellence across an empowered team. This is a hands-on leadership role, requiring the ability to enhance and implement batch and real-time data solutions already in progress, mentor other team members, and deliver both business and technical objectives through ambiguity and uncertainty. This is an opportunity to shape the future of our data ecosystem. You’ll work with a passionate team and modern technologies to drive innovation that impacts the entire organization. The ideal candidate thrives as an individual contributor, while making a significant technical impact and elevating the team’s capabilities.   To succeed as a Principal Software Data Engineer at PointClickCare, you need to be collaborative, adventurous and passionate. Collaborative means that you’re enthusiastic about jumping in to help achieve the team’s top priorities, no self-promoting politicians allowed. Adventurous means that you’re not afraid to dive into uncharted technical territory and get your own hands dirty, while supporting and driving delivery of complex features through a dedicated Scrum team. Passionate means that you’re eager to learn and share knowledge that drives the team forward, and excited to be part of a movement that is positively impacting the lives of seniors and their caregivers all over North America.   What your day-to-day will look like: -Lead and guide the design and implementation of scalable distributed systems based on Java microservices -Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS -Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset -Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies -Drive adoption of best practices in data governance, observability, and performance tuning for data workloads -Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment -Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response -Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work   What qualifications we’re looking for: -Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on data pipelines (batch and streaming) -Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor -Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines -Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads -Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations) -Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools -Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments -Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, Databricks, Spark) -Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization.   #LI-AJ1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,700-178,400+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the role We're hiring a Product Manager to lead the dbt v2 roadmap — the future of dbt Labs' intellectual property and a critical driver of product-led growth. You will own net-new functionality in Fusion that identifies and monetizes local deployments of dbt, shipping net new features, many of which also land in dbt Core, as well as proprietary ELv2 plugins that integrate seamlessly with the dbt platform. This role is co-located with our dbt v2 engineering team in the US to accelerate execution, strengthen prioritization, and ensure tight alignment across product, engineering, and platform teams. You'll bridge open source product strategy with technical delivery and business impact, translating strategic investments into shipped features that drive the Fusion PLG motion. In this role, you will Own and deliver the dbt v2 roadmap, shipping net new functionality to dbt v2 like SQL comprehension, compute, governance, and SAO Define requirements for Fusion features that integrate seamlessly with the dbt platform and unlock enterprise value Keep the Fusion engineering team aligned, unblocked, and executing on a predictable cadence Contribute hands-on to the dbt Core / Fusion codebases, including code reviews, documentation, and small feature implementations Collaborate with OSS strategy leads, platform PM peers, and cross-functional stakeholders to deliver a unified roadmap What success looks like Shipping net-new features on a predictable quarterly cadence Measurable contribution to Fusion PLG growth metrics, including identification and monetization of local dbt deployments Hands-on contributions to dbt Core and Fusion code bases, including merged PRs and meaningful improvements to the open source codebase Strong execution and alignment across the Fusion engineering team You're a good fit if you have 2-4 years of product management experience in technical domains such as developer tooling, data platforms, or open source software Strong grasp of system architectures, particularly for local deployments and how they scale to enterprise use cases Understanding of how open source investments drive PLG growth and product strategy Ability to bridge technical delivery with business impact, translating features into revenue and growth metrics Experience working with engineering teams to define, prioritize, and ship complex technical features Strong communication skills with empathy for open source contributors and enterprise users alike Nice to have Hands-on experience with dbt or similar transformation frameworks Background in plugin architectures, extensibility systems, or platform ecosystems Understanding of PLG motions and freemium-to-paid conversion strategies Experience with SQL engines, query optimization, or compute systems Prior experience as an engineer whose worked with modern development frameworks (examples: React, Typescript, Python, etc.) The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $215,424 — $269,280 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: New York, NY Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. Flex is expanding to offer a consumer bill management platform: a hub where users manage both recurring and one-off bills, align payments with their cash flow, and build credit along the way. As we move from a pilot to broader GTM, we're looking for someone who can operate as both the builder of our data foundation and the analyst who turns that data into decisions. This role will work closely with both business leadership and the core data team to focus on modeling data, digging into consumer behavior, pricing and credit dynamics, and setting the standards the rest of the team builds on. What you'll do Build and maintain the core data models (dbt/Snowflake) that power reporting, experimentation, and ML/credit risk use cases Analyze consumer bill payment behavior timing, splitting, delinquency, credit-building outcomes to identify what's working in the pilot and what needs to change Partner closely with Product and Engineering to instrument new features (e.g. bill splitting, smart scheduling, credit-building) so we can measure adoption and impact from day one Design and analyze experiments that test pricing, credit terms, and product flows, establishing causal links between changes and outcomes Create dashboards and self-serve tools that let Product, Risk, and GTM teams track Control Center's pilot-to-scale metrics without needing to come back to Analytics for every question Champion data quality, consistent terminology, and documentation as data footprint grows from pilot to full launch Set technical direction for how Control Center's data models and pipelines scale as new billers, partners, and product surfaces come online; mentor other analysts/engineers and raise the technical bar across the team Key qualifications 7+ years of experience spanning analytics engineering and data science/analyst work Strong SQL and hands-on experience with dbt and Snowflake (or equivalent modern data stack) Experience with BI tools (Sigma, Tableau, Mode, Looker, etc.) and building dashboards that non-technical stakeholders use Track record designing and analyzing experiments (A/B tests or quasi-experimental methods) to drive product decisions Being confident partnering with technical and non technical stakeholders Strong ownership mindset Comfort with credit, risk, or fintech data, as well as curiosity about how consumers manage their finances, is a plus Compensation Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location. Tier 1 (NYC/Bay Area) $184,000 — $225,000 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. ABOUT THE ROLE As a Senior Data Engineer, you will play a key role in building and scaling the data platform that powers analytics across Trust Wallet. You'll be responsible for designing, developing and maintaining data pipelines and data models, ensuring a seamless, scalable and reliable flow of data from source systems through to the decisions it supports. Leveraging your experience with Databricks and Spark across both streaming and batch workloads, dbt or a similar transformation framework, cloud infrastructure, and custom solutions in Python, you'll work closely with our data analysts and engineering teams to turn data into a strategic asset for our company. KEY RESPONSIBILITIES - Data Platform Engineering: Architect and maintain robust, scalable and secure data infrastructure on Databricks, covering both streaming and batch workloads. - Data Pipeline Development: Design, develop and maintain data pipelines, primarily in Python and Spark, to automate ingestion and transformation across internal systems, external providers and on-chain sources. - Data Modelling: Design and maintain dimensional data models and transformation layers in dbt, with tests and documented contracts, so metrics are consistent and reusable across the company. - Data Lake Management: Oversee the data lake and lakehouse layers, ensuring efficient storage, effective partitioning, high data quality, and monitoring and alerting that surfaces issues early. - Integration and Customisation: Integrate Databricks with a wide range of data sources, including change data capture from operational databases, third-party APIs and blockchain data, and adapt data flows to specific business needs. - Performance, Scalability and Cost: Optimise pipelines and storage for performance, reliability and cost efficiency at scale. - Data Governance and Security: Apply best practices for governance, security and compliance in cloud and Databricks environments, including access control, encryption and monitoring. - Collaboration and Documentation: Work closely with platform engineers, data analysts and other stakeholders to understand data requirements, and document infrastructure, models and best practices. REQUIRED QUALIFICATIONS - Experience in Data Engineering: 3+ years as a Data Engineer, with hands-on ownership of production pipelines and lakehouse or data warehouse architecture. - Databricks and Spark: Strong practical experience with Databricks, Delta Lake and Spark, including both streaming and batch processing, and the judgement to choose between them. - Data Modelling: Solid understanding of dimensional modelling, slowly changing dimensions and data warehouse design, with the ability to define and defend the grain of the models you build. - Transformation Frameworks: Experience with dbt or an equivalent framework for managing transformations, testing and lineage. - Cloud Proficiency: Strong cloud fundamentals, including identity and access management, object storage, networking and infrastructure as code. We run on AWS; deep experience with Azure or GCP transfers well. - Proficiency in Python and SQL: Comfortable writing production transformations as well as services and connectors. - Data Quality and Governance: Experience implementing testing, monitoring and governance practices in cloud data environments. PREFERRED SKILLS - Experience with change data capture and replication from operational databases - Familiarity with blockchain or on-chain data - Infrastructure as code, ideally Terraform, and CI/CD for data workloads - Experience with BI and semantic layers such as Holistics, Looker or similar - Containerisation and orchestration (Docker, Kubernetes) ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Location: Tbilisi, Georgia Workplace: Hybrid ABOUT THE ROLE Pave Bank is a digital bank built for businesses that operate globally, with a client base concentrated in digital asset trading venues, payment providers, stablecoin issuers and fintechs. Our Commercial team owns the client relationship from first conversation through to ongoing revenue growth. We are looking for a Data Analyst who will sit inside the Commercial team and turn client, transaction and pipeline data into decisions. This is not a reporting role where you wait for requests and return a spreadsheet. You will build the dashboards, the models and the internal tools that the Commercial team uses every day, and you will ship them yourself. We expect you to work with AI as a default part of how you build. If you currently do everything by hand and see AI tooling as optional, this role will not suit you. WHAT YOU WILL DO COMMERCIAL ANALYTICS - Analyse client revenue, transaction volumes, payment corridors and product usage to show where growth is actually coming from - Build and maintain client profitability and unit economics models, including fee income, correspondent costs and FX spreads - Track pipeline health, conversion rates, time to onboard and time to first transaction, and explain the movements behind the numbers - Identify at risk clients through changes in activity patterns, and identify cross sell and upsell opportunities across the book - Support pricing decisions with evidence, including scenario modelling for fee changes and volume tiers - Prepare data for board, investor and management reporting, and be able to defend every number in it DASHBOARDS AND REPORTING - Design and own the the Commercial team's dashboard layer, covering revenue, pipeline, client activity and product adoption - Move the team away from manual spreadsheets towards live, self serve reporting that people actually open - Define metrics clearly and consistently, and document them so the definitions do not drift between teams - Work with Operations, Finance, Compliance and Product to make sure the underlying data is trustworthy TOOLING AND AUTOMATION - Build internal tools that solve real Commercial problems, for example client scoring, pricing calculators, lead enrichment, reporting automation and data quality checks - Deploy and host those tools on Google Cloud, and keep them running - Automate recurring manual work in the Commercial workflow instead of absorbing it - Write clean, documented, maintainable code that someone else on the team can pick up AI ADOPTION - Use Claude Code and similar agentic tools as your primary build environment for analysis, tooling and automation - Build AI assisted workflows into Commercial processes, for example summarising client interactions, drafting first pass commercial documents and structuring unstructured data - Set the standard for AI usage inside the Commercial team, share what works, and help colleagues adopt it - Apply good judgement on where AI output needs human verification, particularly for anything client facing or regulatory WHAT WE ARE LOOKING FOR ESSENTIAL - Minimum 3 years in an analytical role, ideally in fintech, payments, banking or a data heavy commercial environment - Strong SQL, comfortable writing complex queries against large transaction datasets without hand holding - Python for analysis and for building small applications and services - Hands on experience with Google Cloud, including deploying and hosting an application, for example Cloud Run, Cloud Functions, App Engine, BigQuery, Cloud Scheduler - Demonstrated experience building dashboards in a modern BI tool, for example Looker Studio, Metabase, Tableau or Power BI - Practical, daily use of AI coding tools. You should be able to walk us through something you built with Claude Code or an equivalent agent, and explain what you delegated and what you reviewed yourself - Advanced spreadsheet skills, including modelling and Google Sheets automation - Strong commercial instinct. You care about why the number moved, not only what it is - Fluent professional English, written and spoken, is mandatory. Our working language is English and you will present analysis directly to senior stakeholders and clients. Georgian is an advantage but not a substitute NICE TO HAVE - Understanding of payments mechanics, including SWIFT, SEPA, correspondent banking, card scheme settlement or stablecoin flows - Experience with dbt, Airflow or similar transformation and orchestration tooling - Familiarity with CRM data models and pipeline analytics - Front end skills sufficient to build a usable interface, for example React or Streamlit - Exposure to digital assets or a regulated banking environment HOW WE WORK - Small team, wide scope. You will own your work end to end rather than hand specifications to someone else - AI first by default. We expect meaningful output volume from a small headcount, and AI tooling is how we get there - Direct access to decision makers. Good analysis changes what we do, quickly - Bias to shipping. A working tool used by the team beats a perfect design nobody uses

Location: JP - Tokyo, Japan Scopely Explore is seeking a highly motivated AI Data Specialist/ Engineer to join our Tokyo Studio, supporting Monster Hunter Now and Pikmin Bloom . This role will sit at the intersection of data engineering, AI tooling, marketing, live game operations, and product strategy. Scopely Explore’s Tokyo Studio builds games that inspire people to explore the real world together. Monster Hunter Now brings players outside to hunt, craft, and grow stronger together, while Pikmin Bloom helps people find joy in everyday walking and real-world memories. As an AI Data Engineer, you will build the trusted data pipelines, AI-native tools, and automation systems that help our teams operate these games with more speed, rigor, and creativity. Responsibilities Partner cross-functionally with stakeholders across Product, LiveOps, Marketing, User Acquisition (UA), CRM, and Game Operations (including product managers, marketers, analysts, data scientists, engineers, and studio leadership) to identify and prioritize high-impact data and automation opportunities and translate ambiguous business needs into reliable AI-native technical systems. Build and operate scalable data models, pipelines, semantic layers, and self-service data products using BigQuery, dbt, Looker, Airflow, and related cloud technologies. Develop production-quality AI-enabled workflows using technologies such as LLMs, agents, retrieval-augmented generation (RAG) knowledge systems, evaluation frameworks, and human-in-the-loop review patterns to help teams investigate performance, detect anomalies, prepare decision briefs, and plan and evaluate campaigns. Partner with Marketing to improve and automate workflows for audience segmentation, campaign performance, UA governance and execution, reactivation, event planning, and post-launch analysis. Safeguard data quality and metric consistency across game, marketing, and executive reporting while promoting responsible AI use through appropriate evaluation, oversight, and human review. Create reusable internal tools, patterns, and documentation that make AI accessible to non-technical teams while preserving trust, reviewability, and clear source-of-truth data. Contribute hands-on to Tokyo Studio’s broader AI operating model and help teams adopt effective AI-enabled workflows. Use AI-assisted engineering tools responsibly by validating generated code and analysis through rigorous review, automated testing, and established quality gates (including linting, type checking, and CI) before production. Qualifications 5+ years of experience in data engineering, analytics engineering, machine learning engineering, or a closely related role. Deep expertise designing, building, deploying, and operating production data platforms across cloud data warehousing (e.g., BigQuery or Snowflake), data transformation and modeling (e.g., dbt), business intelligence and semantic layers (e.g., Looker), and workflow orchestration (e.g., Airflow), with demonstrated ownership of reliability, observability, data quality, performance, cost efficiency, and production troubleshooting. Exceptional SQL skills and strong data-modeling fundamentals, including dimensional modeling, metric design, semantic layers, and scalable analytical data products, along with strong ability to write clean, maintainable production code for pipelines, automation, integrations, and AI-enabled workflows. Hands-on experience building AI solutions for real business workflows, including LLM applications, AI agents, Model Context Protocol (MCP) or similar tool-integration layers, retrieval-augmented generation (RAG), prompt and tool orchestration, and model evaluation. Strong judgment and hands-on experience establishing data-quality controls, consistent metric definitions, and responsible AI practices across data and AI-enabled systems (including reliability, privacy, access control, explainability, evaluation, and human review) and validating AI-generated code and analysis through code review and automated testing. Experience building tools for and working directly with Product, LiveOps, Marketing, User Acquisition (UA), CRM, or Game Operations teams, with the ability to identify and prioritize high-impact opportunities and translate ambiguous business and operational needs into durable technical systems that teams can trust and reuse. Experience building reusable internal data and AI tools and driving adoption among technical and non-technical users through documentation, training, and hands-on enablement, while contributing to AI operating models through shared standards, governance, ownership, and review practices across functions and regions. Excellent business-level verbal and written communication in both English and Japanese. Ability to work from Scopely Explore’s Tokyo office three days per week. Plus If... You enjoy helping teams become more capable by building practical systems that combine better tools, trusted data, and thoughtful automation to support faster, better-informed decisions. You are passionate about games and player behavior, have experience with free-to-play mobile, live-service, or location-based products, and are familiar with real-world or social mobile games such as Monster Hunter Now, Pikmin Bloom, or Pokémon GO. You have experience modernizing prototype or locally operated data workflows into reliable, scalable, cloud-managed production systems. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Ukraine; Azerbaijan About the Role OneDome is a UK-based property technology company on a mission to make buying, selling and financing a home simpler and faster. Our platform connects homebuyers, estate agents, conveyancers and mortgage brokers into a single digital journey, and it is scaling quickly. We hold a great deal of data on how customers move through buying, financing and conveyancing, and very little of it can currently be queried in one place. This is our first dedicated data engineering role. You will own our data warehouse and the pipelines that feed it, decide what the data platform looks like, and become the person the business relies on for answers. What You'll Do Develop and maintain our AWS-based data platform for a quickly scaling business. Build and own our data warehouse and the pipelines that feed it from product, CRM and third-party systems. Model data for analytics and reporting so analysts, product and leadership can rely on it, and keep those models tested and documented. Contribute to architecture decisions and technical direction across the platform. Ensure data quality, performance and scalability. Own data protection obligations within our pipelines, including retention, deletion and subject access requests. Collaborate with product managers, analysts and engineers across distributed teams to deliver high-impact solutions. Leverage AI-powered engineering tools to accelerate delivery while maintaining high standards of quality, security and operational excellence. Basic Qualifications 5+ years of professional experience building and running production data pipelines end to end. Data warehouse design and modelling, including dimensional modelling, slowly changing dimensions, incremental and full-refresh builds, and schemas analysts can query unaided. Hands-on production experience with Redshift, including loading strategies, distribution and sort key design, workload management, query tuning and cost control. An equivalent columnar warehouse (Snowflake, BigQuery) is acceptable with a credible transfer story. Experience running dbt in production, including testing, documentation and CI. Strong SQL, including tuning analytical queries, and strong Python. Experience with relational and NoSQL databases, including Postgres (with JSONB) and DynamoDB or equivalent, and real experience getting analytical value out of NoSQL stores through change data capture, export patterns, denormalisation and schema drift. Hands-on experience designing, deploying and operating data services on AWS, including S3, Glue, Athena, Lambda, EventBridge, Kinesis/Firehose, RDS, IAM and CloudWatch. Experience with infrastructure automation and observability, including infrastructure as code (Terraform). Experience handling regulated personal data in the UK, including GDPR, retention and subject access requests. Comfortable using AI coding assistants (e.g. Claude Code, Cursor, GitHub Copilot) as part of the development workflow. Strong communication skills in English. Russian is a plus. Preferred Qualifications Microsoft Dynamics 365 or Dataverse data extraction (Synapse Link, Dataverse API). Mortgage, property or financial services domain experience. Experience with BI tooling such as Looker or Metabase. Familiarity with managed ingestion tools such as Fivetran or Airbyte. AWS certification. What We Offer Challenging tasks with a great opportunity to level up your skills. 20 working days of paid vacation, with additional days off following the UK holiday calendar. Working hours of 9:00-17:00 London time. An international team spread across Ukraine and Azerbaijan. Ready to Build? OneDome is small enough that your work is visible and large enough that it matters. This is the first data role here, so the warehouse, the models and the standards will be yours to set. If you want to help reshape one of the biggest transactions in people's lives, we would love to hear from you. Salary: $4,500 – $5,500

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role As a Staff Full-Stack Engineer on the Cloud Clients team, you’ll own end-to-end delivery across the surfaces where dbt developers do their work: dbt Studio in the browser, the dbt VS Code extension, and the CLI workspace runtime that powers both . You’ll help build dbt’s AI-native developer experience , including agent workflows, diff review, streaming tool calls, charts and rich outputs for conversational analytics, and MCP apps that bring dbt projects directly into tools like Claude and Codex. This is a true full-stack role: you’ll work across Python, TypeScript, React, and Kubernetes , with the expectation that you can take a feature from schema and service design through to the final pixel without a handoff What you’ll do Own parts of the CLI workspace runtime that backs both surfaces, including migrating users off our legacy IDE and enabling asynchronous, background agent runs. Design and build agent-facing experiences: streaming responses, transparent tool calls, diff review, and charting / rich output for conversational analytics. Extend dbt into other developer surfaces — MCP integrations that make dbt projects usable directly from AI clients like Claude and Codex. Lead well-scoped projects end to end: write the plan, partner with design and product, ship in two-week increments, and measure whether it worked. Share oncall and customer support for your surfaces, and mentor engineers earlier in their careers. Skills we are looking for 8+ years building production software, including senior-level ownership of projects that ran for months and involved several people. Deep Python experience plus exposure to TypeScript and React experience — you move across the stack without waiting for a handoff. Built and maintained something other developers depend on: an IDE, an editor extension, a CLI, an SDK, an LSP server, or a data tool. Comfort with the operational side of shipping — APIs, Kubernetes, Postgres, observability — and with being on the hook when something breaks. Strong written communication: you can make a technical argument in a document and bring people along. Worked asynchronously as part of a fully-remote, distributed team Bonus points for Shipped LLM- or agent-powered features to production, with real opinions on evaluation, latency, cost, and where models fall down. Worked with the Language Server Protocol, Monaco, CodeMirror, or other code-editor internals. Hands-on dbt, SQL, or data warehouse experience (Snowflake, Databricks, BigQuery, Redshift). Migrated users off a legacy product surface and decommissioned it without breaking them. Go, Rust, or systems-level performance experience. #LI-HYBRID #LI-JI1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques. As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results. In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite Cloud & Platform: AWS, GCP, Azure Observability & Monitoring: Grafana, Prometheus, Datadog CI/CD & Automation: Jenkins, CircleCI, GitHub Actions Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies Databases: SQL and NoSQL databases (e.g., Postgres, SAP , Oracle, DB2 ertc) What You’ll Do Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback. Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness. Write high-signal test strategies for complex features and automate them across multiple environments. Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions. Build internal tools and proof-of-concepts using AI/LLM technologies to: Accelerate debugging and failure triaging Generate high-quality test scenarios Detect flaky patterns or regression risks Improve log analysis and root-cause identification Enhance developer and QA productivity Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines. Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes. Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals. Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking. Collaborate with engineering and product leaders to align testing priorities and business objectives. Skills We’re Looking For 6+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence. Deep understanding of OOP principles and strong proficiency in Java. Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios. Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes). Experience building and maintaining CI/CD pipelines with tools such as Jenkins, Buildkite. Experience working with backend automation frameworks. Testing data pipeline or ELT platforms, with hands-on exposure to Change Data Capture (CDC) mechanisms, connector-based data ingestion, and validating data accuracy and consistency across source and destination systems at scale. Deep understanding of database internals Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities. Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines. Bonus Skills​ Experience testing against cloud data warehouses (Snowflake, BigQuery, Redshift) or CDC source databases (Oracle, SQL Server, PostgreSQL, MySQL) Familiarity with log-based CDC mechanisms (binlog, WAL, ) and handling schema drift or evolution scenarios. Exposure to distributed systems testing, large-scale data reconciliation, and containerized environments (Docker, Kubernetes) on cloud platforms (AWS/GCP/Azure). Familiarity with data extraction using API-based polling, batch/file ingestion, and query-based incremental syncs. #LI-HYBRID #LI-VM1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Worldwide We are looking for an experienced and driven Engineering Manager to manage our DWH Data Tools team . This team is responsible for managing and evolving our critical data ecosystem tools, including Superset, Jupyter Hub, and DataHub, while also developing new, in-house solutions - including internal BI and data-exploration tools - to fit specific business needs. This role merges technical leadership with comprehensive team management. The ideal candidate will possess strong leadership skills and technical expertise across the team's stack - Python, plus Node.js and Go - along with a proven track record managing engineering teams and data platforms. You will be pivotal in planning, optimizing development processes, and translating product ideas into robust technical solutions that solve real user pain points - often while navigating shifting priorities and evolving business needs. Challenges that await you: People Management: Lead, mentor, and manage a team of engineers. Take ownership of their performance, regular 1-on-1s, and continuous professional development Product Collaboration & Solution Brainstorming: Collaborate closely with product stakeholders to understand user pain points. Lead the brainstorming of technical solutions and translate product vision into actionable designs Planning & Execution: Drive planning activities for the team. Create and manage development plans, adeptly handling flexible deadlines and shifting business priorities Service Maintenance: Oversee service maintenance in strict alignment with SRE processes, taking responsibility for the reliability, stability, and incident control of the tools within the DWH Architecture & Development: Oversee the architecture, design, and implementation of data tools (Superset, Jupyter Hub, DataHub) and lead the development of custom solutions to meet new business requirements Stakeholder Communication: Manage communication with data engineers, analysts, and other stakeholders to ensure seamless data integration and tool usability What makes you a great fit: 1+ years of experience managing engineering teams in fast-paced settings, preferably fintech with Python or Go stack Hiring, development, performance, and delivery management and strong skills in cross-functional collaboration and the ability to build partnerships Strong technical expertise in designing, deploying, and managing data tools (e.g., BI platforms, data notebooks, or data catalogs) Proven ability to manage flexible planning, balancing dynamic priorities and deadlines Excellent communication and collaboration skills, with the ability to partner effectively across teams and regions An adaptable, structured mindset — able to prioritize effectively and stay grounded amid ambiguity and change B1 or higher English level for effective communication with an international team Your bonus skills: Experience implementing or maintaining services alongside SRE processes Work experience in DWH and/or the banking/fintech sphere Familiarity with the technical stacks or internals of Superset, Jupyter Hub, or DataHub Experience with data integration frameworks (e.g., Apache Kafka) Knowledge of ETL tools (e.g., Airflow, DBT) Experience with Kubernetes Experience with Snowflake or Lake House architectures Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to one of our hubs — Cyprus, Spain or Georgia — with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: Remote USA Workplace: remote ABOUT YOU You are a technical product manager who owns what a model optimises for, not just the roadmap around it. You have real depth in recommendation and ranking systems, and you will own the recommendation engine behind the Xsolla Advertising Products: the ranking that decides which offers millions of players see, and in what order. You hold the bar high for how decisions get made. You can read a readout and say plainly what it does and does not support. You connect model performance to revenue without overclaiming, and you bring a low-ego, people-first approach to work that spans ML, analytics, ads operations, and commercial teams. If you are excited about using ML to build building the next generation of advertising, rewards and loyalty programs for mobile apps and games we want to hear from you. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Own the recommendation engine as a product: ranking, relevance, and the model roadmap. Ranking quality is the product. Set the objective the ranker optimises for, the constraints it works inside, and the guardrails and kill conditions that bound it. The target is eCPM today; what comes next is your call. Own the metric definitions the whole team measures against, and settle the definitional questions that change the answer: gross against publisher-side RPU, app-load against impression-user denominators, mean of daily values against window totals. Collaborate with on ML frameworks, experiment design, hold-outs, including pre-registered decision rules, power calculations, sample-ratio-mismatch checks, A/A validation, multiplicity correction, and named rollback triggers. Collaborate with DS on readouts to evaluate model performace and readouts to business stakeholders readout: what the model did, what it cost, and what happens next. Contribute the ranking perspective to the wider ads roadmap, including the seams where pricing, identity, and event telemetry meet ranking. Qualifications & Skills: 6+ years in product management, with 3+ years owning a recommendation, ranking, personalization, or relevance system in production. Deep understanding of experiment design and inference, including minimum detectable effect, statistical power, sample ratio mismatch, A/A testing, multiple-comparison correction, and pre-registration. You can tell when a readout will not support the claim being made from it, and you say so. Working knowledge of the modelling itself: classification and regression, probability calibration, predicted conversion rate, expected-value objectives, and how the choice of objective changes model behavior. Hands-on experience with ML and data platforms such as Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, Vertex AI, and feature stores. Proven record of moving model changes into production traffic through a controlled experiment process, rather than shipping on a dashboard reading. Knowledge of performance advertising economics and ad tech ecosystems, including eCPM, RPU, bid multipliers, campaign hierarchies, and attribution models. SQL you write yourself, and enough comfort reading application code to verify a claim instead of taking it on trust. Excellent written communication and stakeholder management across technical and non-technical audiences. Specs, decision records, and readouts are the output of this role, and other teams act on them without you in the room. Bachelor's or Master's in Computer Science, Engineering, Statistics, Economics, or a related field. Offerwall, rewarded advertising, loyalty and rewards programs and/or mobile app monetization experience is a plus. Experience with a two-stage ranking system, where an external service supplies the base order and local logic adjusts it, is a plus. Pricing, yield management, or marketplace experience alongside ranking is a plus. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Sr. Technical Product Manager, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Remote (Peru) Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding Java Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are a pragmatic problem-solver who enjoys turning complex business challenges into effective, high-quality technology solutions. You communicate clearly with both clients and technical peers, you adapt easily across industries and technical stacks, and you have a keen interest in consulting. You are curious about new tools—including AI tools that improve your productivity. What you will be doing Work directly with clients to analyze business problems and implement technology solutions. Develop software, design solutions, and collaborate with senior consultants to deliver high-quality outcomes. Learn and apply best practices in software engineering, cloud technologies, and system architecture. Gain experience across multiple clients and industries, adapting to different technical and business environments. Build trust with clients and internal teams through strong communication, problem-solving, and execution. Execute custom software development, primarily utilizing established languages and frameworks, including: C#, Entity Framework, ASP.NET, Java, Spring Boot, and Python; JavaScript, TypeScript, React, Angular, Next.js, .NET MAUI, Flutter, and Xamarin. Implement automated verification protocols for software systems to ensure operational integrity. Design and enhance CI/CD pipelines, incorporating comprehensive deployment and observability solutions through industry-standard tooling, such as: TerraForm, Azure Bicep, AWS CloudFormation, GitHub Actions, and Jenkins; Dynatrace, New Relic, Jaeger, Grafana, Prometheus, and Azure Monitor. Develop and maintain robust data pipelines and sophisticated analytics platforms utilizing: SQL Server, PostgreSQL, Oracle, MongoDB, Kafka, Databricks, Snowflake, dbt, Apache Airflow, Azure Data Factory, Power BI, and Google Looker. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table We expect candidates to demonstrate a solid foundation in software development and a keen interest in consulting. Technical Skills: Proficiency in at least one modern programming language (e.g., Python, Java, JavaScript, C#). Communication: Excellent verbal and written communication skills. Problem-Solving: Proven ability to analyze complex problems and propose practical solutions. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.

Location: Remote (Peru) Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding C# / .NET Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are a pragmatic problem-solver who enjoys turning complex business challenges into effective, high-quality technology solutions. You communicate clearly with both clients and technical peers, you adapt easily across industries and technical stacks, and you have a keen interest in consulting. You are curious about new tools—including AI tools that improve your productivity. What you will be doing Work directly with clients to analyze business problems and implement technology solutions. Develop software, design solutions, and collaborate with senior consultants to deliver high-quality outcomes. Learn and apply best practices in software engineering, cloud technologies, and system architecture. Gain experience across multiple clients and industries, adapting to different technical and business environments. Build trust with clients and internal teams through strong communication, problem-solving, and execution. Execute custom software development, primarily utilizing established languages and frameworks, including: C#, Entity Framework, ASP.NET, Java, Spring Boot, and Python; JavaScript, TypeScript, React, Angular, Next.js, .NET MAUI, Flutter, and Xamarin. Implement automated verification protocols for software systems to ensure operational integrity. Design and enhance CI/CD pipelines, incorporating comprehensive deployment and observability solutions through industry-standard tooling, such as: Terraform, Azure Bicep, AWS CloudFormation, GitHub Actions, and Jenkins; Dynatrace, New Relic, Jaeger, Grafana, Prometheus, and Azure Monitor. Develop and maintain robust data pipelines and sophisticated analytics platforms utilizing: SQL Server, PostgreSQL, Oracle, MongoDB, Kafka, Databricks, Snowflake, dbt, Apache Airflow, Azure Data Factory, Power BI, and Google Looker. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table We expect candidates to demonstrate a solid foundation in software development and a keen interest in consulting. Technical Skills: Proficiency in at least one modern programming language (e.g., Python, Java, JavaScript, C#). Communication: Excellent verbal and written communication skills. Problem-Solving: Proven ability to analyze complex problems and propose practical solutions. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.

Location: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain. Founded by alumni of Goldman Sachs' Digital Assets team, we're backed by some of the best investors in the world, including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are the category leader by AUM, well-capitalized, and growing quickly. We're fully remote, with team members across the U.S. About the role Our Data Science team turns on-chain and off-chain data into the analytics, risk, and decision-making infrastructure behind Ondo Global Markets (tokenized stocks) and Ondo Perps. We're hiring Ondo's first Data Engineer to build the foundational data platform that this work depends on—consolidating fragmented data sources, standing up a unified warehouse in BigQuery, and making trustworthy, well-modeled data available to the entire team. This is a hands-on infrastructure role with end-to-end ownership. You'll lead the migration of analytics into BigQuery, work directly in the Go services that power Ondo Perps to ingest additional data into the warehouse, and build the repeatable ETL pipelines that let data scientists, risk, and analytics move quickly and self-serve. You'll partner closely with Data Science, Backend Engineering, Risk, and Product to replace today's siloed, ad-hoc pipelines with reliable, observable, and reusable data infrastructure. Our team operates with high autonomy, high trust, urgency, and an uncompromising quality bar. We're looking for someone who improves the platform without waiting to be asked, cares deeply about data quality and correctness, and pairs strong engineering judgment with humility. You'll shape both Ondo's data foundation and how our Data Science team builds and scales analytics. Responsibilities Lead the migration of analytics and existing data workflows into BigQuery, establishing it as Ondo's unified, trusted warehouse and reporting layer. Read, understand, and extend the Go services powering Ondo Perps to ingest additional data into the warehouse (e.g. changefeeds and streaming/batch sinks from production systems). Design, build, and operate repeatable, well-tested ETL/ELT pipelines that the wider Data Science team can rely on and reuse. Consolidate fragmented and siloed data sources—internal databases (CockroachDB, QuestDB), on-chain and market-data vendors (Allium, Dune, Databento), and product analytics—into consistent, well-modeled datasets. Establish standards for data ingestion, transformation (e.g. dbt), orchestration, testing, lineage, and documentation so definitions are consistent and self-serve. Experience building foundational metrics and dashboards, with strong opinions on data lineage and quality, in partnership with Data Science. Own data quality, observability, monitoring, access controls, and cost management across the pipelines and warehouse. Partner with Data Science, Backend Engineering, Risk, and Product to turn analytical and reporting needs into durable data infrastructure. Requirements 5+ years of data engineering experience building and operating production data pipelines and warehouses. Deep hands-on experience with a cloud data warehouse—BigQuery strongly preferred—including performance, partitioning, and cost optimization. Strong SQL and data modeling skills, plus experience with modern transformation and orchestration tooling (e.g. dbt, Airflow, Dagflow-style schedulers, or similar). Experience designing batch and streaming ingestion (CDC/changefeeds, event pipelines) from operational databases into a warehouse. Experience building data infrastructure for fintech, trading, or other high-integrity financial systems where correctness and auditability matter. High standards for data quality, reliability, testing, observability, and documentation. Clear communication, high ownership, and a track record of delivering effectively with both technical and non-technical partners. Nice to haves Proficiency reading and writing Go, or strong general software-engineering ability and a track record of quickly ramping on unfamiliar production codebases. Experience with crypto-native or on-chain data, and vendors such as Allium, Dune, or Databento. Familiarity with CockroachDB, QuestDB, Snowflake, or similar operational and analytical stores. Experience enabling self-serve analytics and AI-over-data workflows for analytics and data science teams. Exposure to risk, quantitative analytics, or trading microstructure data. What we offer Competitive compensation including salary, future token rights, and/or equity, according to your preferences. We're well-funded and believe that great talent deserves great compensation. Full benefits, including medical, vision, and dental coverage, plus a flexible vacation policy. A remote-first team across many countries. You'll be an early team member helping shape our vision, culture, and engineering practices. A+ colleagues. Our team includes alumni from Goldman Sachs, BlackRock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, and Uniswap. Best-in-class investors. We are proud to be backed by leading crypto experts and venture firms, including Pantera Capital, Founders Fund, and Coinbase Ventures.