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Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Content Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Engineering: Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions. API & System Performance: Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance. Technical Rigor & Modern Tooling: Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently. Who You Are User-Centric Mindset: An advocate for the user with an intuitive feel for product usability, interaction design, social dynamics, and user growth loops. You care deeply about why a feature is being built and its impact on the end user. Data-Informed & Hypothesis-Driven: Comfortable working alongside Data Scientists and PMs to design experiments, establish core performance metrics, and iterate quickly based on real-time feedback. Technical Rigor at Scale: 7+ years of hands-on backend development experience building and operating large-scale distributed serving systems in high-concurrency environments. Bias for Action: Self-directed, innovative, and comfortable navigating ambiguity in fast-paced product environments where balancing velocity with system reliability is essential. Collaborative Communicator: Outstanding communication skills with a track record of driving cross-functional alignment in fully remote or hybrid team environments. Technical Qualifications Languages: Proficiency in modern backend languages such as Go or Python (or Java, Kotlin, Rust, C++). API Design: Expertise in designing and maintaining scalable, maintainable APIs using GraphQL , REST , or gRPC for native mobile and web applications. Data & Caching: Experience with high-throughput caching layers and distributed datastores (e.g., Redis , Cassandra , PostgreSQL ). Modern Workflows: Experience or interest in using AI-assisted engineering tools to accelerate development workflows. Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Infrastructure organization enables Reddit to deliver reliability, performance, and efficiency with a single opinionated technology stack. The Ingestion Platform team within Infrastructure builds a low-code interface for moving data from supported sources to supported sinks, making it easier for teams across Reddit to create reliable, scalable data pipelines without building and operating bespoke infrastructure.  Our platform supports streaming and batch data movement from Kafka to destinations such as BigQuery and object storage, and is expanding toward S3/GCS, Apache Iceberg, transformations, deduplication, and additional sinks. We work closely with Data Pipelines, Data Movement, Ads Data Platform, ML Indexing, Flink Platform, Storage, and other partner teams to improve developer velocity, reliability, observability, and operational efficiency. We are looking to hire a Staff Software Engineer to help shape and scale this platform. This is a high-impact role where your technical judgment, customer empathy, and operational mindset will influence the future direction of data movement at Reddit. What You’ll Do: As a Staff Engineer, you will lead the development and evolution of Reddit’s Ingestion Platform. Design, write, and deliver reliable software for distributed data movement across streaming and batch workloads, with a focus on availability, scalability, latency, correctness, and cost efficiency. Own the architecture and evolution of the platform’s control plane and data plane, including pipeline APIs, controllers, connectors, target managers, schemas, and sink integrations. Expand the platform beyond Kafka-to-BigQuery by helping deliver production-ready paths to S3/GCS and Apache Iceberg, as well as transformations, deduplication, dead-letter queues, and other reusable capabilities. Build high-quality connectors and abstractions for systems such as Kafka, BigQuery, S3, GCS, Iceberg, Flink, and other data stores, while keeping the platform modular and easy to extend. Improve the self-service experience for platform users through clear APIs, safe defaults, automated provisioning, documentation, onboarding workflows, and actionable observability and alerting. Lead migrations from bespoke and legacy ingestion systems to the Ingestion Platform, partnering with teams such as Ads Data Platform and ML Indexing to make migrations safe, incremental, and low-touch. Establish strong reliability, security, and operational practices for pipelines running across Kubernetes clusters, including schema evolution, workload identity, permissions, deployment safety, monitoring, and incident response. Identify gaps in the platform’s architecture and product experience, and lead redesigns that improve developer velocity and enable Reddit’s continued growth. Work collaboratively with engineers and stakeholders across Infrastructure, Data Platform, Product, Ads, ML, Storage, and partner teams to align roadmaps and deliver durable solutions. Mentor and guide backend and data infrastructure engineers across the company, raising the bar for technical design, operational excellence, and customer focus. Who You Might Be: 10+ years of hands-on experience building internet-scale distributed systems, data infrastructure, or platforms used by other developers. BS, MS, PhD in Computer Science, a related field, or equivalent practical experience. Strong software development experience in one or more general-purpose languages such as Go, Python, Java, or Scala. Deep experience designing and operating high-throughput, fault-tolerant data pipelines or platform services, including streaming and batch processing. Experience with data movement patterns and systems such as Kafka, BigQuery, S3, GCS, Apache Iceberg, Flink, or comparable technologies. Experience designing APIs and platform abstractions, including schema evolution, serialization formats such as Protocol Buffers, and service-to-service communication such as gRPC. Familiarity with Kubernetes and cloud-native platform concepts, including controllers, custom resources, workload identity, infrastructure automation, and multi-cluster deployments. A strong understanding of observability and operational excellence: metrics, logging, alerting, SLOs, incident response, data quality, and safe migration practices. A product-minded engineer who advocates for platform users and can turn ambiguous customer and partner needs into simple, reliable, and scalable solutions. Demonstrated technical leadership and a history of guiding teams through complex, cross-functional initiatives with meaningful impact. Exceptional written and verbal communication skills, with the ability to collaborate effectively across engineering teams and stakeholders. Experience building low-code or self-service developer platforms, or curiosity to learn, is a strong plus. Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United States; Denver; Chicago; Seattle; Austin; Phoenix; New York; Los Angeles; Boston; San Francisco Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list https://www.forbes.com/companies/clickhouse/?list=cloud100, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and $250M ARR https://clickhouse.com/blog/clickhouse-tops-250m-arr-and-4000-customers, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round https://clickhouse.com/blog/clickhouse-raises-400-million-series-d-acquires-langfuse-launches-postgres. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! We're hiring a Product Manager to own partner integrations at ClickHouse. This role owns how ClickHouse shows up inside the platforms our customers already use: embedded, native experiences across the hyperscalers and developer platforms, and deeper technical integrations with strategic partners like dbt, Fivetran, Hex, and Sigma. There is a growing surface of partner work already in motion, and this role shapes where we invest in co-innovation opportunities. This is one of the most cross-functional roles at ClickHouse. You'll work across multiple engineering teams, our partnerships and solutions teams, and the partners themselves to deliver meaningful co-innovation and integrations with complementary technologies. You'll own the technical side of our House Mates partner program and be the person who navigates the multi-org reality of getting an integration certified, listed, and live. This is a hands-on role: you'll write the specs, run the partner calls, drive certification processes, and coordinate across teams to get things over the line. YOU WILL - Own the product strategy, roadmap, and execution for ClickHouse's Cloud integrations with strategic partners - Seek out complementary innovation opportunities with partners. Define what a "better together" integration looks like with each strategic partner, and drive it from joint roadmap through launch. - Navigate the trade-offs of embedded integrations: billing and metering, identity and auth, security and data residency, and coordination across ClickHouse and partner teams. - Project-manage complex, multi-org launches: marketplace listings, certification processes, partner co-marketing, and GA timelines across multiple organizations. - Own the technical standards and certification criteria for integrations submitted through the House Mates partner program. - Measure and communicate co-innovation business impact, adoption and product strategy to executive leadership. - Represent ClickHouse externally at partner events and in joint content. YOU BRING - Experience shipping integrations into third-party platforms before: hyperscaler marketplaces, embedded or native integrations, ISV partnerships, or OEM/white-label work. - An understanding of the trade-offs that make or break a partner integration, billing, auth, security, cross-team dependencies, and have made those decisions in the past. - A strong project management lens and are comfortable owning a launch that depends on five teams across two companies. - Patience and resilience with partners who are unresponsive or have their own competing priorities, and you find creative ways to keep things moving anyway. - Technical ability to understand an integration end to end, from provisioning and auth to billing and data flow, and to hold a credible conversation with engineers about APIs, architecture, and technical trade-offs. - Energy and excitement for external-facing work: partner calls, customer conversations, and representing the product publicly. - Hands-on and high ownership ability. You write the specs, run the partner calls, and stay close to the details. - Comfort in ambiguity and fast-moving environments. PREFERRED QUALIFICATIONS - Hands-on experience building partner integrations with hyperscalers and modern technology companies. - Experience running or supporting a technology partner program. - Background at a database or data infrastructure company; familiarity with ClickHouse or peers like Snowflake, BigQuery, or Databricks. - Experience working in remote, multi-timezone environments. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Milan, Italy; Biassono, Italy Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. We are seeking engineers who bring deep analytical rigor to data modeling and relentless dedication to data quality.   🛠️ THE DAY-TO-DAY - Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs from senior engineers and architects. - Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Cloud Composer. - Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and reference validations—to keep our datasets clean and trusted. - Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance and escalating deeper architectural changes when needed. - Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements. - Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can safely build on your foundation. - Partner & Collaborate: Work closely alongside Analytics and Data Science teams to deeply understand their query needs and deliver optimized data structures. ⚡ YOUR SUPERPOWERS - Solid Academic & Technical Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience). - Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments. - SQL Mastery: Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data platforms like Snowflake, BigQuery, or Databricks. - ETL/ELT Aptitude: Strong foundational understanding of data transformation concepts and comfort navigating tools like dbt and Airflow under guided supervision. - Code & Version Control Literacy: Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean code efficiently. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. We are seeking engineers who bring deep analytical rigor to data modeling and relentless dedication to data quality. 🛠️ THE DAY-TO-DAY - Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs from senior engineers and architects. - Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Cloud Composer. - Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and reference validations—to keep our datasets clean and trusted. - Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance and escalating deeper architectural changes when needed. - Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements. - Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can safely build on your foundation. - Partner & Collaborate: Work closely alongside Analytics and Data Science teams to deeply understand their query needs and deliver optimized data structures. ⚡ YOUR SUPERPOWERS - Solid Academic & Technical Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience). - Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments. - SQL Mastery: Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data platforms like Snowflake, BigQuery, or Databricks. - ETL/ELT Aptitude: Strong foundational understanding of data transformation concepts and comfort navigating tools like dbt and Airflow under guided supervision. - Code & Version Control Literacy: Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean code efficiently. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Dublin Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building a best-in-class go-to-market engine, and we're looking for a GTM Systems Administrator to join the GTM Systems team and help scale the systems that power both our pipeline and our customer experience. You'll take on a variety of projects across the full GTM lifecycle, from how we source, enrich, and route leads at the top of the funnel to how we support and engage customers through Zendesk and our Customer Success platforms. This is not a traditional RevOps or Salesforce admin role: we expect this person to work AI-first, using AI tools and agents to build, automate, and maintain systems that would traditionally require engineering support or manual admin work. Reporting to the Head of GTM Systems, you'll partner closely with Sales, Marketing, Support, and Customer Success to translate business needs into scalable, reliable systems that directly drive revenue and retention outcomes. WHAT YOU'LL DO - Work across a variety of projects on the GTM Systems team, with some sprints focused on top-of-funnel growth and others on support and customer success tooling, flexing to where the business needs you most. - Design and improve top-of-funnel systems including lead sourcing, enrichment, scoring, and routing, building enrichment workflows in Clay and across data providers (ZoomInfo, Cognism, Apollo, Clearbit, etc.) to power inbound and outbound pipeline. - Configure and optimize Zendesk as Harvey's primary support platform (ticket routing, triggers, automations, macros, SLA policies, agent workspace) and support adjacent CS platforms like Catalyst. - Contribute to Salesforce configuration across the funnel, including lead routing, scoring, lifecycle stages, and automation (Flows, validation rules, custom objects), and how data flows across Salesforce, marketing automation, support, and enrichment tools. - Use AI as a default working method: build and maintain AI agents, automations, and workflows (AI triage, copilots, agent-based enrichment, LLM-powered data quality checks) to eliminate manual admin work and extend what the systems team can ship without engineering support. - Integrate GTM and CS tools with Harvey's broader ecosystem (CRM, product data, internal tools, communication platforms) to ensure a unified view of the customer, and build reporting and dashboards that provide visibility into pipeline conversion, support performance, and customer health. - Maintain high data quality and compliance through deduplication, normalization, enrichment governance, and consent/opt-out handling, and document system architecture, workflows, and processes so everything scales as the company grows. WHAT YOU HAVE - 4-8+ years of experience in GTM Systems, RevOps, Growth Ops, Support Ops, or similar roles. - Strong proficiency in Salesforce (data modeling, Flows, lead routing, account hierarchy, reporting) plus hands-on experience administering Zendesk (routing, automations, triggers, SLA policies), or deep expertise in one with proven ability to ramp fast on the other. - Hands-on experience with Clay and at least one major enrichment/data provider (ZoomInfo, Cognism, Apollo, Clearbit, etc.), and experience with marketing automation platforms (Marketo, HubSpot, or similar). - Demonstrated AI fluency: you already use AI tools (Claude, ChatGPT, Clay AI, Zendesk AI, or similar) to build workflows, automate admin tasks, draft configurations, and troubleshoot, and you can point to concrete things you've shipped this way. - Strong systems thinking, with the ability to design and debug end-to-end data flows across tools, spanning both reactive support workflows and proactive growth motions. - A collaborative, team-first working style: comfortable operating in a pod, picking up varied projects, and working cross-functionally with Sales, Marketing, Support, Customer Success, and Operations. Highly organized and documentation-oriented, with a focus on scalable, maintainable systems. BONUS - Experience with Customer Success platforms (Gainsight, Catalyst) or Zendesk certification(s). - Experience building integrations using APIs, webhooks, or iPaaS tools (Workato, Zapier, MuleSoft), or integrating GTM systems with data warehouses (Snowflake, BigQuery). - Experience building or deploying AI agents in production (e.g., agentic prospecting, AI ticket triage, health-score automation) - Working knowledge of SQL and/or scripting (Python, JavaScript) for data workflows. - Background in high-growth or early-stage environments where systems are built from the ground up. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-SH1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Задачи: — Проектировать, писать и поддерживать высококачественный Apex код, пользовательские интерфейсы на LWC и асинхронные backend-фреймворки. — Архитектурно строить безопасные двунаправленные интеграции между Salesforce и сторонними корпоративными платформами (SAP, HubSpot, BigQuery) с использованием REST/SOAP API и middleware. — Профилировать логи выполнения, оптимизировать сложные обработчики триггеров и рефакторить неэффективный legacy-код для обеспечения быстрой загрузки страниц и стабильной обработки больших объемов данных. — Управлять развертываниями с использованием Salesforce CLI и Git-ориентированных CI/CD пайплайнов, обеспечивая безопасное управление sandbox-средами и предсказуемость релизов. — Сотрудничать с архитекторами Salesforce, бизнес-аналитиками и владельцами продуктов для трансформации бизнес-требований в масштабируемые технические решения. Требования: — Опыт разработки 5+ лет с Salesforce Sales Cloud и Service Cloud. — Экспертное владение Apex (классы, триггеры, batch jobs, queueables) и Lightning Web Components (LWC). — Продвинутые знания SOQL и SOSL, умение проектировать масштабируемые модели данных (custom objects, junction objects, big objects) и оптимизировать запросы для предотвращения ошибок governor limits. — Опыт построения, потребления и защиты внешних веб-сервисов через REST/SOAP API, Named Credentials, OAuth2, Pub/Sub API, MuleSoft. — Знание enterprise design patterns в Apex (Trigger Frameworks, Service Layer, Selector Layer, Domain Layer) и умение анализировать trade-offs между декларативным и программным подходами. — Опыт работы с Salesforce CLI, source-driven development (SFDX), Git workflows, unit testing с покрытием >85%, CI/CD инструментами (Copado, Gearset, GitHub Actions). — Активные сертификаты Salesforce Platform Developer I & II (PD1 / PD2) предпочтительны. — Свободное владение английским языком. — Локация в часовом поясе CET (+/- 3 часа). Желательно: — Опыт с Salesforce CPQ, OmniStudio (Vlocity), Experience Cloud. — Сертификаты Data Architecture & Management Designer или Integration Architecture Designer. — Знакомство с Data Cloud (CDP), CRM Analytics (Tableau CRM/Einstein Analytics), AI функциями (Agentforce/Einstein 1). — Опыт миграции Visualforce и Aura компонентов в LWC. Условия: — Своевременные ежемесячные выплаты с гибкими опциями вывода. — Предсказуемый график работы 8 часов в день. — До 24 оплачиваемых гибких дней отпуска в год. — Долгосрочные удалённые позиции в ведущих компаниях. — Персонально подобранные вакансии без типичных рекрутинговых барьеров. — Единый процесс контрактации для множества возможностей без дополнительных оценок. — Стабильная оплата каждый месяц.

Location: New York, NY (HQ) 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 The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making. As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers. You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.   WHAT YOU’LL DO - End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring - State-of-the-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers - Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference - Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods - Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features   WHAT YOU NEED - B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must. - Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization - Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions - Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.) - SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse) - Practical Experience: track record of curating datasets and building/evaluating ML models - Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative - Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate   NICE TO HAVES - Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field - Production ML Mindset: knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code - Data Orchestration: experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)   COMPENSATION - The monthly rate for this internship is $12,500 USD + housing stipend   RAMP BENEFITS - Apple MacBook - Catered lunches in NYC office Monday-Friday - Weekly coffee stipend 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: San Francisco, CA | New York City, NY | 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 a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic. This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce. Key responsibilities Data Infrastructure & Modeling Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems Ensure appropriate data access controls including row and column-level security for sensitive candidate data Pipeline Development & Integration Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools Create reliable data flows that handle both real-time needs and batch processing requirements Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness Automate data quality checks and validation across all pipelines Analytics Engineering & Modeling Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company Minimum qualifications Are an expert in BigQuery including optimization and partitioning Have built dimensional models and understand slowly changing dimensions Are proficient in SQL, Python, and modern tools like dbt and Fivetran Have implemented data security and privacy controls in cloud warehouses Can translate HR concepts into scalable data models Communicate effectively with both technical and business stakeholders Preferred qualifications Have 5+ years in data engineering Familiarity with ATS platforms (Greenhouse, Lever) and their data structures Experience with building semantic layers for data agents Experience building data pipelines for survey data and text analytics Knowledge of graph databases or network analysis libraries Background in privacy-enhancing technologies or sensitive data handling Previous experience in high-growth technology companies or AI/ML organizations Familiarity with workforce planning and predictive analytics use cases The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 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: Bangalore; EU Remote Workplace: Remote About the role We’re looking for an experienced Backend Software Engineer with 4+ years of experience to help drive and evolve our product. Strong hands-on experience with Go (Golang) is a must for this role. Our technology is new and rapidly evolving, so you’ll be an early contributor with meaningful impact on the architecture while solving complex technical challenges at scale. What you’ll do - You'll design, extend and optimize a large-scale, highly scalable, and fault-tolerant system that handles large graph datasets at enterprise scale. Our product is processing billions of events from hundreds of thousands of endpoints in real-time with sub-second latency requirements - You'll architect and implement Security products to protect customers data - You'll be solving real-world scaling problems that require thorough performance analysis and troubleshooting skills - Strong hands-on experience with Go (Golang) is required. You have built and shipped production backend services using Go. - You get to work with a modern and constantly evolving microservices-based software stack which includes Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, Etcd - You'll write secure-by-design hardened software that must withstand real-world attacks, while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet Who you are - You have a strong track record in building backends that are actively used at scale. You contributed significantly to and extended their architecture. - You have experience developing large applications in Go. - You used databases at a very large scale. Knowledge of the GCP services is a plus - You have experience with profiling and optimizing the distributed code that uses large databases and streaming platforms.  - If you have experience in building connectors that integrate at API level with SaaS applications commonly used in the enterprises let us know - You have hands-on experience with microservices and Kubernetes - You have excellent verbal and written communication skills in English and you can be available to frequently communicate with distributed teams in Europe and US - You thrive in fast paced environments tackling ambiguous challenges and you enjoying shipping with velocity - You have a customer centric mindset and enjoy direct feedback from customers - You are based in Bangalore for the India location (Remote for EU based talent) Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Задачи: — Руководство повседневной работой портфеля из трёх Shopify приложений с общим ARR около $1.87M. — Координация команды разработчика и тестировщика через полный цикл доставки: от спецификации до выпуска и измерения результатов, включая найм дополнительных подрядчиков. — Совместная постановка дорожной карты, при этом со временем принятие решений по приоритетам становится вашей ответственностью; использование данных Amplitude и Linear для формирования приоритетного бэклога и написания задач. — Аналитика и эксперименты: понимание метрик, проектирование экспериментов и отчётность по их результатам. — Повышение качества пользовательского опыта через улучшение документации, упрощение онбординга и устранение проблем. — Управление соответствием приложения требованиям Shopify API, прохождение проверок App Store и ежегодного обзора Built for Shopify. — Контроль работы службы поддержки, выступление точкой эскалации по продуктовым и инженерным вопросам, управление отношениями с агентством поддержки. — Надзор за платными рекламными кампаниями в Shopify App Store, управление бюджетом совместно с маркетинговым подрядчиком. — Мониторинг и улучшение позиций приложений в рейтингах Shopify App Store. Что не входит в обязанности: — Написание кода (есть разработчик). — Тестирование (есть тестировщик). — Обработка рутинных запросов поддержки (агентство). — Ответы на отзывы (подрядчик). — Фандрайзинг, найм руководителей, участие в совещаниях с заинтересованными сторонами. Области роста: — Переход Easy Lockdown на модель ценообразования на основе использования. — Оптимизация онбординга и активации для Geo:Pro и Easy Lockdown. — Заполнение функциональных пробелов для Geo:Pro и Easy Lockdown. — Повышение рейтингов приложений для улучшения органического продвижения. Условия работы: — Работа с небольшой удалённой командой подрядчиков в разных часовых поясах. — Продукты прибыльные и устоявшиеся, с некоторыми устаревшими кодовыми базами. — Использование аналитического стека: Amplitude, BigQuery, Shopify Partners; требуется знание SQL или умение писать запросы с помощью AI. — Взаимодействие с основателем, который занимается стратегией и крупными решениями, вы управляете повседневной деятельностью. — Режим работы: сначала еженедельные встречи, затем ежемесячные и квартальные планирования, далее автономная работа. Требования: — Опыт успешного управления продуктом или доставкой в небольшой SaaS-команде. — Техническая грамотность: умение писать чёткие спецификации, понимать компромиссы и оценивать сроки разработки без необходимости просмотра кода. — Организованность и проактивность в координации людей и устранении препятствий. — Ориентация на данные: опыт работы с Amplitude, SQL и анализом отзывов клиентов. — Способность работать самостоятельно, управлять приоритетами и брать ответственность без постоянного контроля. — Приветствуется опыт в экосистеме Shopify, ASO, платном привлечении пользователей или росте SaaS. Условия: — Частичная занятость, примерно 15-25 часов в неделю. — Оплата $65-$85 в час в зависимости от опыта. — Возможность работы как по контракту, так и в штате. — Полностью удалённая работа, асинхронный формат, любой часовой пояс. — Начало работы — как можно скорее. Как подать заявку: — Отправьте 3-5 минутное видео Loom с описанием вашего подхода к первым 90 дням работы на email apply@geoproapp.com. — После рассмотрения заявки возможны два этапа интервью перед предложением о работе.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. RESPONSIBILITIES - Ship AI-powered workflows for Compute and C3: build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation. - Get insights in front of the team: turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on. A build isn't done until the team is using it. - Audit the stack and generate your own backlog: Compute runs on a mix of tooling with real overlap and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap. - Ship team-productivity workflows fast: triage asks from Supply, Demand, and C3, find the low-hanging fruit, and build it. A good week looks like an ops lead asking for something Monday and having it live by Wednesday. - Know when to go custom: not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default. - Think in systems, not solutions: every workflow you build has upstream and downstream implications across Supply, Demand, and Engineering. Anticipate them, design for them, and don't create technical debt someone else has to unwind six months later. - Integrate third-party APIs and internal systems to sync events and information across disparate tools: ensuring data flows reliably between C3, the CRM, and the systems Compute depends on every day. - Document what you build: if people can't find it, understand it, or trust it, it doesn't matter how well it works. REQUIREMENTS - 3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role, ideally at a high-growth, AI-native infrastructure or B2B company - You've shipped production agents on Vercel. Build custom internal apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts - Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) - Direct experience with a CRM or system-of-record platform (Salesforce or similar) - A track record of owning end-to-end AI and automation workflows - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks - Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments NICE TO HAVE - Familiarity with GPU infrastructure, capacity planning, or fleet management concepts - Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.) - Experience with high-stakes, operationally complex environments where mistakes have real business impact - Challenging work and exposure to the operational core of a fast-scaling AI infrastructure company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. About the Team The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence. About the Role We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites. Location: In person 5 days/week in San Francisco, CA or New York, NY What You'll Do - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm) - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests Example projects you might own - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake What You'll Bring - 3+ years of experience as a software engineer or infrastructure engineer - Strong hands-on experience with Python and testing frameworks such as pytest - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability - Solid understanding of API testing, mocking/stubbing, and data setup/teardown - Comfort defining quality standards, writing test plans, and driving cross-team execution Nice to Have - Experience with load and performance testing tools such as k6 - Familiarity with observability tooling such as Datadog or OpenTelemetry - Experience testing services running on Kubernetes and containerized environments - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management - SQL fluency for validating data (Postgres, ClickHouse, BigQuery) - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability Compensation - Annual salary range: $165,000- $250,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Cairo, Egypt Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for a curious, tech-savvy and creative Finance Process Automation Intern to join our Finance team in Cairo. This is not a traditional accounting internship. We are looking for someone with a background in IT, Technology, Engineering, Business Information Systems or a related field who is interested in understanding how finance processes work and finding smarter, more efficient ways of doing them. You will work closely with the Finance team across the MENA and Africa regions, supporting the transformation of existing reconciliation, reporting and operational processes through technology, automation and improved systems. What you'll do Review existing Finance processes, particularly around revenue recognition, partner relationship management and reconciliations , and identify opportunities for improvement. Help the Finance team move away from manual Excel- and BigQuery-based processes towards more efficient and automated solutions. Support the implementation and adoption of new reconciliation tools, ERP systems and AI-assisted solutions . Analyse data received from partners and third parties and help identify discrepancies, gaps and opportunities for process improvement. Explore ways to automate recurring reports, templates and other manual Finance activities. Help design and improve processes so they can be replicated across other markets and regions. Work with Finance and other internal teams to understand existing workflows and translate them into practical system or automation improvements. Document processes and contribute to creating a roadmap for future process improvements and regional expansion . Bring fresh ideas and challenge existing ways of working where a more efficient approach may be possible. Support the team with day-to-day Finance activities where required, while maintaining a strong focus on process improvement and automation. What you need for this role Currently pursuing an undergraduate degree, preferably in your senior/final year . Studying IT, Technology, Engineering, Business Information Systems, Computer Science, or a related discipline . Strong interest in technology, systems, automation, data and process improvement . Basic understanding of Finance or Accounting concepts. You do not need to be an Accounting major, but should understand fundamental concepts such as debits, credits and accruals . Comfortable working with data and systems, with good general system knowledge. Strong analytical and problem-solving skills. Creative mindset with the ability to think outside the box and challenge existing processes. A self-starter who can take a problem or situation and think through possible solutions independently. Strong communication and interpersonal skills, with the ability to work effectively with Finance and cross-functional teams. Fluent in English. Comfortable working in a flexible, hybrid environment. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You'll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. This is your chance to make a real impact by shaping the future of our talent strategy. You'll be part of a forward-thinking organization where your insights and leadership will help guide us toward global success. If you’re ready to be at the forefront of transforming talent management, we want to hear from you!     “Share our similarities, celebrate our differences.” – M. Scott Peck   #ALEPH       We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Content Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Engineering: Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions. API & System Performance: Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance. Technical Rigor & Modern Tooling: Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently. Who You Are User-Centric Mindset: An advocate for the user with an intuitive feel for product usability, interaction design, social dynamics, and user growth loops. You care deeply about why a feature is being built and its impact on the end user. Data-Informed & Hypothesis-Driven: Comfortable working alongside Data Scientists and PMs to design experiments, establish core performance metrics, and iterate quickly based on real-time feedback. Technical Rigor at Scale: 3+ years of hands-on backend development experience building and operating large-scale distributed serving systems in high-concurrency environments. Bias for Action: Self-directed, innovative, and comfortable navigating ambiguity in fast-paced product environments where balancing velocity with system reliability is essential. Collaborative Communicator: Outstanding communication skills with a track record of driving cross-functional alignment in fully remote or hybrid team environments. Technical Qualifications Languages: Proficiency in modern backend languages such as Go or Python (or Java, Kotlin, Rust, C++). API Design: Expertise in designing and maintaining scalable, maintainable APIs using GraphQL , REST , or gRPC for native mobile and web applications. Data & Caching: Experience with high-throughput caching layers and distributed datastores (e.g., Redis , Cassandra , PostgreSQL ). Modern Workflows: Experience or interest in using AI-assisted engineering tools to accelerate development workflows. Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,000 — $229,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: 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 Fivetran is building data pipelines to power the modern data stack for thousands of companies. We're looking for a Senior Staff Software Engineer to join our Systems Engineering team and lead the engineering behind our internal AI-powered application ecosystem. This is a high-leverage, high-visibility role with three interlocking mandates. First, you will own the development and governance of a code library and set of agent rules that will serve as the architectural foundation for multiple internal AI-enabled webapps at Fivetran.  Second, you will work with stakeholders to develop, productionalize, and enhance custom apps built on this foundation.  Third, you will act as a trusted advisor to engineering leadership, shaping policy and governance for how non-engineers should use AI to safely develop, productionalize, and deploy apps. This position sits at the crossroads of software engineering, platform architecture, and AI-assisted development. You will partner closely with business stakeholders and engineering platform teams across the company, translating a fast-moving, experimental "everyone builds" culture into production software held to a high standard of security, reliability, and maintainability. This is a full-time position based out of our Oakland, CA 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 Python, TypeScript/React Kubernetes, GCP Cloud SQL (PostgreSQL) BigQuery data sources, Claude API, Agent SDK GTM systems -  Salesforce, Outreach, Gong, and Zendesk What You’ll Do Independently design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud Develop, maintain, and test code Conduct design and code reviews Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability Understand and fix challenges related to performance and scalability. Participate periodically in on-call rotation Participate in the hiring process Mentor Junior developers Make Fivetran the most reliable and secure component of our customers’ data infrastructure Skills We’re Looking For 10+ years of experience in the software industry with a passion for solving complex software engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices Experience working with distributed systems and cloud security concepts Demonstrated ability to write well-structured and performant code Ability to independently lead software and infrastructure design to satisfy project requirements Can identify design flaws in existing systems and come up with improvements Experience in code reviews, design, troubleshooting and testing Experience programming in an object oriented / systems language such as Java, C++, C# etc Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s Experience interacting with continuous integration tools like BuildKite Knowledge of observability tools like New Relic/Grafana is a plus Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based platforms #LI-HYBRID #LI-VA1 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 $232,338 — $290,422 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: Paris; London Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Head of, Finance Data & Technology, you will shape the future of Mistral’s Finance technology ecosystem. The role exists to build a modern data, systems and AI-driven finance department that bridges finance, data, and business operations to drive financial performance and strategic decision-making. You’ll collaborate closely with our CFO, our internal Applied AI resources, and teams like, HR, IT, Legal, and Security to assess current systems, identify gaps, and design a target architecture that supports Mistral’s growth. Your impact will be felt across the organization, from improving profitability to automating accounting and ensuring reliable financial outputs.     WHAT YOU WILL DO - Lead the assessment of Mistral’s current Finance technology landscape, including tools, processes, data flows and pain points. - Define and prioritize business, functional, and technical requirements for Finance systems in collaboration with stakeholders. - Design a target Finance tech architecture, outlining system roles, integrations, and data flows and architectures - Develop a data governance framework, including ownership, quality controls, and maintenance processes. - Create and execute a prioritized plan to clean up and rationalize Finance datasets and execute it - Deliver a clear recommendation on the future Finance tech setup, including costs, risks, and a transition roadmap. - Ensure Finance data is migration-ready by addressing quality issues and defining ownership.     WHAT WE'RE LOOKING FOR - Strong project management skills, from defining vision, strategy, and roadmaps, to stelar execution - Engineering academic background, ideally from a tier-1 engineering school - Deep data architecture knowledge, including mastery of data sources, pipelines, storage, transformation, and metadata management, with hands-on experience designing and implementing architectures (e.g., APIs, workflows, BigQuery, DBT). - GenAI power user with Vibe coding skills, automation expertise, and experience building scalable, impactful products in a professional context. Basic coding skills and software development experience are a strong plus. - Experience in Finance technology assessment, system selection, and knowledge of tools such as SAP S4H, Kyriba, Lago, Payflows, etc - Solid financial knowledge, including experience working alongside finance teams, understanding FP&A, accounting, cash management, and procurement, and a strong interest in driving value through process automation and efficiency. - Builder and scaler with experience structuring IT systems (preferably in finance), building and scaling IT teams or departments from the ground up, and operating in multicountry environments. - Proven ability to build tools and processes from scratch to support company growth. - Strong analytical skills to evaluate data quality, consistency, and relevance. - Proficiency in prioritization and the use of performance metrics to drive impact. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Battle Ground, WA About Maddox Maddox is the nation’s leading provider of electrical transformers to the commercial and industrial market, with primary locations in South Carolina, Washington State, Texas, Idaho, and Ohio. We have been recognized by Inc. Magazine as one of the fastest-growing companies in America for the past 8 years and counting. Maddox was founded on Christian values, and we are serious about investing in the people, processes, and culture that make this a great place to work. We build real things, solve real problems, and expect professionalism, competence, and integrity from our team. Discover more at: https://www.youtube.com/@MaddoxTransformer https://www.maddox.com/ About Maddox + You: Maddox PRO (PRO) provides shared services (including construction, facility maintenance, and accounting) to Maddox Industrial Transformer (MIT) and an expanding portfolio of other businesses/projects under common ownership. PRO is seeking an experienced, highly organized and detail-oriented Senior Accountant to join our accounting team. We are seeking an experienced, highly organized, and detail-oriented Senior Accountant to join our collaborative accounting team. In this role, you will take ownership of multi-entity financial reviews under GAAP, serve as a trusted subject-matter expert, and play a key role in supporting and elevating team members as our organization expands. Key Responsibilities Include: Lead all phases of monthly close and financial reporting for multiple entities, including reviewing journal entries and general ledger reconciliations Serve as a mentor to team members, fostering best practices, accurate reporting, and ongoing professional growth Oversee GAAP compliance, corporate accounting policies, and internal control documentation and implementation Ensure timely filing of state and federal licensing and reporting requirements Lead the delivery of necessary documentation and analysis to fulfill PBC requests from auditors and tax advisors Proactively identify and implement improvements to standard operating procedures and accounting workflows Collaborate cross-functionally with other departments to review monthly GL activity and streamline reporting processes. Perform other duties as assigned by supervisor, including assistance with special projects and ad hoc reporting Experience & Education: Bachelor's degree in accounting or finance required; CPA strongly preferred 6-8+ years of total accounting experience, with at least 2+ years at the Senior level Strong collaborative mindset with excellent communication skills and a desire to support team members Proven track record of taking end-to-end ownership of financial processes and driving workflow improvements High attention to detail, proactive time management, and sharp analytical problem-solving skills Proficiency with Google or Microsoft Office suites (e.g. Sheets/Excel), and cloud accounting software (e.g. Xero); experience with BI reporting (e.g. Metabase, BigQuery) a plus Pro Tip: We get a LOT of applicants, so if you want to stand out, write a few sentences telling us what stood out to you, and why you think you’d thrive in this particular opportunity. Compensation & Benefits Pay range = (wages + bonus) Comprehensive full-time benefits package averaging $20,000+ per year (amount varies based on age, family size, and eligibility), including: Health & wellness benefits (insurance or cash-in-lieu options) Paid maternity and paternity leave 401(k) with 100% match up to 8% of wages Paid holidays, PTO, and family-life gifts Vision, dental, disability, life insurance, and other voluntary benefits Annual Range $90,000 — $105,000 USD