\nAbout Firework\nJoin Firework – Where Innovation Meets Impact\n\n\nFirework is revolutionizing connected commerce with the world’s most advanced and largest AI-powered video commerce platform, trusted by global brands and leading retailers. We bring the energy of in-store experiences online, transforming how businesses engage, convert, and build lasting customer relationships.\n\n\nAt Firework, you’ll be part of a high-growth, team-centric environment where innovation thrives and collaboration fuels success. Having raised over $235m to date led by investors such as the SoftBank Vision Fund 2 and operating at a global scale, we offer unparalleled opportunities to work cross-functionally, solve complex challenges, and drive meaningful impact in the future of connected digital commerce.\n\n\nIf you’re curious, ambitious, and energized by big ideas, Firework is the place to grow, lead, and shape the next era of online shopping—together.\n\n\nSummary\nOur engineering team is growing! We’re looking for a talented Sr.Backend Engineer to join a small global team who will bring technical expertise and leadership along with hands-on development of backend software development and SaaS solutions. \n\n\n\nWhat you’ll be doing\n* Build scalable AI application infrastructure and services with Python\n* Design and develop REST APIs / GraphQL for data and machine learning services\n* Take full stack ownership by consistently writing production-ready and testable code\n* API / Python runtime latency optimization (Python, SQL, NoSQL, 3rd party APIs)\n* Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability, and performance of systems/ contexts affected when defining technical designs\n* Contribute to a culture of innovation, collaboration, and continuous improvement\n* Take feedback from code review and apply changes to meet standards. Conduct code reviews to provide guidance on engineering best practices and compliance with development procedures\n\n\n\nWe’ll be excited if you have\n* BS or MS in Computer Science or any relevant STEM majors.\n* Production experience with Big Data, NoSQL, and RAG\n* 5+ years developing highly scalable production-grade backend services using Python, Elixir experience is a huge plus but is not required\n* Have worked directly with distributed processing frameworks such as Hadoop, Spark, Beam … or have worked on a backend system that interacts meaningfully with such a framework is a big plus\n* Work autonomously, are excited by new platforms, big data, and machine learning technologies, and will never back down from the challenges of scale\n* Passionate about writing clean and testable code\n* Production experience with generative AI / ML applications\n\n\n\nA BIG PLUS if you have\n* Expertise with video streaming libraries such as FFmpeg or GStreamer\n* Experience working with video/audio codecs\n* Experience working with live streaming encoders and WebRTC\n* Experience working with AI/ML models and applications\n* Experience in building large-scale applications with Python\n* Experience writing GraphQL queries and mutations\n\n\n\n\n\n\nWe are looking for remote candidates based in Canada.\n\n\nThe approximate annual pay range for this role is CAD $125,000 - 160,000. Other factors that impact compensation may include stock options. The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity. Candidates may receive more information from the talent partner.\n\n\nDon’t hold back\nWe understand some candidates may see the above and not apply because they don’t meet all the qualifications. We encourage you to apply anyway; we often find talented candidates that fit many other opportunities we have and look for potential too, not just what you did in the past.  As an equal employment opportunity employer, we are a diverse team that strives for an inclusive environment for all. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, age, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, GraphQL, Python, Video, Engineer and Backend jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nCanada

About us\n\nWe’re an early stage, well-funded startup team with a proven track record of shipping open source software with global adoption. We put a premium on respectful, clear, and complete communication, and we expect each other to be creative, curious, effective, and empathetic.\n\nWe believe deeply that the right tools and abstractions enable not just technological transformation, but also organizational transformation. We strive to put the user and their hard work at the center of our decision making. In practice, that means we are looking for engineers who want to write clean APIs and helpful error messages, and who always try to understand user needs when designing a new system.\n\nAll of our open source work is done publicly. You can gain context about how we collaborate as a team and the problems we work on by exploring GitHub and looking at our code reviews.\nAbout the role\n\nDagster is seeking an experienced Lead Technical Writer to join our Community Engineering team and elevate our documentation efforts. In this role, you'll be responsible for creating, maintaining, and improving our technical documentation using a docs-as-code approach with Docusaurus.\n\nYou’ll play a critical role in helping make our features easier to understand, by owning all our user-facing documentation. This is a technical position within the Community Engineering team at Dagster.\n\nThis is a full-time, competitively paid position with benefits. We are a distributed team with offices in San Francisco, New York, and Minneapolis. We have team members all over the U.S. and we are hiring fully remote candidates in the U.S. Every employee is provided a remote work stipend to cover the cost of home office equipment and anything else that makes your remote work location comfortable, productive, or successful. And if you’d rather not work from home, we’ll cover the cost of a coworking or office space if you’re fully remote.\nResponsibilities:\n\n\n* Lead the development and maintenance of Dagster's technical documentation, including API references, user guides, tutorials, and conceptual overviews.\n\n* Collaborate closely with engineering teams to understand new features and translate complex technical information into clear, concise documentation.\n\n* Project managing developer documentation initiatives from concept to launch, collaborating with cross-functional stakeholders.\n\n* Maintain a docs-as-code workflow, leveraging Git, GitHub, and Docusaurus.\n\n* Develop and enforce documentation standards and best practices across the organization.\n\n* Mentor and guide contributors to ensure high-quality documentation.\n\n* Analyze and improve the information architecture of our documentation site.\n\n* Create and maintain templates and style guides for consistent documentation.\n\n* Participate in the open-source community and manage contributions to our documentation.\n\n\n\nMust-have Qualifications\n\nIf you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.\n\n\n* 5+ years of experience as a technical writer, with at least 2 years in a lead role.\n\n* Excellent writing and editing skills, with the ability to explain complex technical concepts clearly.\n\n* Experience documenting APIs, SDKs, and developer tools.\n\n* Experience with the docs-as-code framework such as issue tracking, version control, restructured text and markdown and static site generators such as Docusaurus\n\n* Ability to work independently and lead documentation initiatives while effectively managing multiple, complex efforts simultaneously, such as the launch of new documentation resources, large-scale documentation audits, and cross-functional initiatives.\n\n\n\nNice-to-have Qualifications\n\n\n* Solid understanding of Python and Git, and GitHub\n\n* Familiarity with docs-as-code workflows and static site generators, particularly Docusaurus.\n\n* Familiarity with data engineering, data pipelines, or similar technical domains.\n\n* Passing familiarity with React, CSS, and web development\n\n* Previous experience in data tools or open-source company.\n\n\n\nYou belong here\n\nWe are committed to building an inclusive team and an open-source community where no one feels out of place. We know that teams with diverse backgrounds state their assumptions more explicitly, think more rigorously, and build better software. Plus it's more fun and interesting to work with a wide variety of perspectives.\n\nYou should apply to work at Dagster Labs if you want to work in, and help to build and strengthen, a high-performing software development environment where people of all backgrounds are welcome.\nOur Stack\n\nDagster is built in Python and TypeScript to work on macOS, Posix, and Windows. We use GraphQL, Apollo, and React to develop beautiful frontend tooling. We integrate with a wide range of databases, data warehouses, orchestration engines, compute substrates, and cloud services.\n\nThe estimated annual cash salary for this role is $140,000 - $190,000.\nOther resources:\n\n\n* The launch of Dagster blog post\n\n* Launching Dagster Cloud to GA blog post\n\n* Dagster Day 2022 video playlist\n\n* Our latest major release\n\n* Software-Defined Assets blog post, Data Council talk, and animated explainer\n\n* Our latest episode on the Data Engineering Podcast\n\n* Our philosophy on code reviews\n\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to React, Python, Writer, Video, Cloud, Typescript and API jobs that are similar:\n\n $50,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

Postscript Description\n\nPostscript is redefining marketing for ecommerce companies. By introducing SMS as an entirely new channel for ecommerce stores to engage, retain, and convert their customer base, brands are seeing huge ROI with Postscript. Backed by Greylock, Y Combinator and other top investors, Postscript is growing fast and looking for remarkable people to help build a world class organization. \n\n \n\nJob Description\n\nAs a Senior Data Engineer for the Data Platform team at Postscript, you will provide the company with best in class data foundations to support a broad range of key engineering and product initiatives. The Data Platform team at Postscript focuses on data integration through various sources like our production application and various 3rd party integrations. You will focus on designing and building end to end data pipeline solutions: data ingestion, propagation, persistence, and services to support both our product and our internal BI organization. This role is critical in ensuring data and events are reliable and actionable throughout the Postscript Platform.\n\n \n\nPrimary duties\n\n\n* Design and build performant and scalable data systems with high scale\n\n* Architect cloud native data solutions in AWS\n\n* Write high quality code to make your software designs a reality\n\n* Build services to support our product with cross domain data\n\n* Advise the team and organization on Data Engineering best practices to level up our competency in the organization\n\n* Mentor and support your fellow engineers via code reviews, design reviews and peer feedback\n\n\n\n\nWhat We’ll Love About You\n\n\n* You’re a polyglot technologist who is passionate about data problems at scaleYou have a proven track record designing and implementing complex data systems from scratch\n\n* You’ve built data engineering solutions in an AWS environment and have working experience with several AWS services (Lambda, Redshift, Glue, RDS, DMS, etc.)\n\n* You have several years (5+) of experience writing high quality production code, preferably in Python or Go\n\n* You have a broad range of experience with data persistence technologies (RDBMS, NoSQL, OLAP, etc.) and know how to select the right tool for the job\n\n* You’ve worked in event driven systems and have experience with technologies like Kafka, Kinesis, RabbitMQ, etc.\n\n* You’ve gotten your hands dirty with infrastructure and have used infrastructure as code technologies like Terraform\n\n* You’re comfortable with ambiguity and like to dig into the problems as much as you love creating solutions\n\n\n\n\nWhat You’ll Love About Us\n\n\n* Salary range of USD $170,000-$190,000 base plus significant equity (we do not have geo based salaries) \n\n* High growth startup - plenty of room for you to directly impact the company and grow your career!\n\n* Work from home (or wherever)\n\n* Fun - We’re passionate and enjoy what we do\n\n* Competitive compensation and opportunity for equity\n\n* Flexible paid time off\n\n* Health, dental, vision insurance\n\n\n\n\n \n\nWhat to expect from our hiring process :\n\n\n* Intro Call: You’ll hop on a quick call with the Recruiter so we can get to know you better — and you can learn a little more about the role and Postscript. \n\n* Hiring Manager Intro: You’ll hop on a quick call with the Hiring Manager so your future Manager can get to know you better — This is a great time to learn more about the team & position. \n\n* Homework Assignment: We will send over an exercise that challenges you to solve a problem & come up with a creative solution, or outline how you've solved a problem in the past. Get a feel for what you’ll be doing on a daily basis!\n\n* Virtual Onsite Interviews: You’ll be meeting with 2-4 team members on a series of video calls. This is your chance to ask questions and see who this role interacts with on a daily basis.\n\n* Final FEACH Interview: This is our interview to assess your ability to represent how you work via our FEACH values. As we bui in ld the #1 team in Ecommerce, we look for individuals who embody FEACH professionally and personally. We want to hear about this in your final interview!\n\n* Reference Checks: We ask to speak with at least two references who have previously worked with you, at least one should be someone who has previously managed your work.\n\n* Offer: We send over an offer and you (hopefully) accept! Welcome to Postscript!\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Recruiter, Video, Cloud, Senior, Marketing and Engineer jobs that are similar:\n\n $57,500 — $87,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nColumbus, Ohio, United States

\nThe Core team is responsible for the core open-source technology that has transformed the modern data ecosystem (dbt-core), as well distributing it internally for use within our Cloud product. The team’s mission is to develop and deliver the most expressive, performant, reliable data transformation engine on the market, which provides the connective tissue across dbt Labs’ widening product surface area. A successful hire for this role will help communicate technical concepts with a variety of stakeholders, drive the team’s evolving technical vision, and be a role model for execution of impactful projects for the team.\n\nIn this role, you can expect to:\n\n\n* Lead technical design and implementation of major software components, systems, and features across teams.\n\n* Apply your technical experience in performance, architecture, interfaces and engineering best practices.\n\n* Help build a culture of quality and innovation by leading cross-team collaboration and execution of projects delivering high value to customers.\n\n* Design, develop, test, deploy, monitor, and improve software.\n\n* Manage trade-offs, priorities, and deliverables by applying your experience driving projects to successful completion.\n\n* Support the career development of team members by actively providing mentorship and coaching on design patterns, software architecture, and technical communication.\n\n\n\n\nQualifications:\n\n\n* Have 3+ years experience as a software engineer\n\n* Minimum requirement of Bachelors degree in related field (computer science, computer engineering, etc.) OR\n\n* Completed enrollment in engineering related bootcamp\n\n\n\n\nYou are a good fit if you:\n\n\n* Have strong fundamentals in a variety of software development paradigms (e.g. object oriented, functional)\n\n* Are comfortable managing ambiguity and driving clarity and innovation within teams\n\n* Understand how to make tradeoffs to ship useful features today without sacrificing long-term quality\n\n* Value interacting with end users and deeply understanding their needs\n\n* Are highly motivated and able to build alignment across stakeholders\n\n\n\n\nYou'll have an edge if:\n\n\n* Have worked on growing teams developing in a large OSS Python code base\n\n* Have direct experience with using dbt\n\n* Have experience working on a distributed team\n\n\n\n\nCompensation & Benefits\n\n\n* Salary: 220,000 - 280,000 RON\n\n* Equity Stake\n\n* Benefits\n\n\n\nWhat to expect in the hiring process (all video interviews unless accommodations are needed):\n\n* Interview with Talent Acquisition Partner\n\n* Interview with Hiring Manager\n\n* Team Interviews\n\n* Final interview with Engineering Leadership\n\n\n\n#LI_RC1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Video, Cloud and Engineer jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

🚀 Whatnot \n\n\nWhatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.\n\nWe’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.\n\nAnd, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas. \n💻 Role\n\nAs part of the Developer Productivity team, you will be responsible for building and enhancing the efficiency, effectiveness, and satisfaction of Whatnot’s engineering teams. Your mission includes crafting seamless workflows, automating tedious tasks, and unleashing the full potential of our talented developers.\n\n\n* Maintain an efficient CI/CD pipeline to help developers ship the software faster and safer in a structured environment.\n\n* Build local environment tooling to enable the engineering team to build and test product features swiftly and safely.\n\n* Work with the engineering team to get services deployed across different environments.\n\n* Implement and optimize developer workflow to reduce friction and increase productivity.\n\n* Providing recommendations for architecture and process improvements.\n\n\n\n👋 You\n\nCurious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.\n\nAs our next Developer Productivity Engineer, you should have 5+ years of developer productivity or similar experience, helping build scalable systems that can handle millions of users, plus:\n\n\n* Bachelor’s degree in Computer Science, a related field, or equivalent work experience.\n\n* Excellent developer experience instincts. You first think about engineer experience rather than the best technical solution.\n\n* Previous experience at a hyper-growth startup. You’re a self-starter who can hit the ground running with little direction.\n\n* Prior experience in a public cloud environment (AWS, GCP) using Kubernetes, Docker, and/or Terraform.\n\n* Expert knowledge of various CI/CD workflows.\n\n* Exceptional coding skills and the ability to ship lightning-fast. We primarily use Python and Elixir, but previous knowledge of each is not required.\n\n* Excellent communication and writing skills.\n\n\n\n💛 EOE\n\nWhatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

About Phaidra\n\nPhaidra is building the future of industrial automation.\n\nThe world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.\n\nPhaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:\n\n\n* We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.\n\n* We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.\n\n* We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.\n\n\n\n\nOur team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.\n\nPhaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, and India.\n\n**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**\nWho You Are\n\nWe are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n\n* We are seeking a team member located within one of the following areas: USA/Canada/UK/EU\n\n\n\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 10+ years of work experience.\n\n* Proven record on impact as a Tech Leader and bar-raiser for ambitious Software Engineering teams\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Extensive experience with platform Software Engineering with the ability to contribute on all levels as an individual contributor and tech leader\n\n* Strong expertise on building, operating and monitoring large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and metrics collection\n\n* Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling\n\n* Strong expertise in Python and Cloud environments\n\n* Very good grasp of Machine Learning (especially Deep Learning) fundamentals\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience with building applications that can be deployed in cloud, as well as in hybrid or on-prem environment\n\n* Exposure to Reinforcement Learning or other in-depth knowledge on modern ML applications\n\n* Experience with industrial applications, industrial control systems, IoT, sensor time series applications, or similar\n\n\n\nRelevant Technologies from our Stack\n\n\n* Python, Go\n\n* PyTorch, PyTorch Lightning\n\n* Ray.io, Prefect, mlflow\n\n* REST & gRPC micro-services\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Grafana Cloud, Prometheus\n\n* Poetry, Pants\n\n* Gitlab CI, ArgoCD, Atlantis\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* \n\nMeeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.\n\n\n* \n\nTech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.\n\n\n* \n\nML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring\n\n\n* \n\nML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.\n\n\n* \n\nCulture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.\n\n\n\nBase Salary\n\n\n* US Residents: $156,000-$234,000/year\n\n* UK Residents: £108,000-£162,000/year\n\n\n\n\nSalary ranges for EU countries will vary based on the market rate for the location.\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.\nBenefits & Perks\n\n\n* Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.\n\n* Phaidra is a 100% remote company with a digital nomad policy.\n\n* Competitive compensation & equity.\n\n* Outsized responsibilities & professional development.\n\n* Training is foundational; functional, customer immersion, and development training.\n\n* Medical, dental, and vision insurance (exact benefits vary by region).\n\n* Unlimited paid time off, with a minimum of 20 days off per year requirement.\n\n* Paid parental leave (exact benefits vary by region).\n\n* Home office setup allowance and company MacBook.\n\n* Monthly remote work stipend.\n\n\n\nOn being Remote\n\nWe are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.\nEqual Opportunity Employment\n\nPhaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].\nE-Verify Notice\n\nPhaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.\n\nAdditional information about E-Verify can be found here.\n\n#LI-Remote\n\nWE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Engineer and Backend jobs that are similar:\n\n $70,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

🚀 Whatnot\n\nWhatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.\n\nWe’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.\n\nAnd, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.\n💻 Role\n\n\nPartner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools\n\nBuild actionable KPIs, create production-quality dashboards and notebooks to convey insights\n\nDefine and advance best practices within an experiment-driven culture\n\nInform product engineering roadmap through analysis of marketplace, user behavior, and product trends\n\n\n\n👋 About You\n\nWe are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions.\n\nYou should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.\n\nIn addition to 6+ years of experience in the Data Analytics field, you should have:\n\n\nExcellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators\n\n* Bachelor’s degree in Computer Science, a related field, or equivalent work experience. \n\nDemonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields\n\nIndustry experience with proven ability to apply scientific methods to solve real-world problems on large scale data\n\nAbility to lead initiatives across multiple product areas and communicate findings with leadership and product teams\n\nComfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT\n\nExpert in using SQL for data analysis, reporting, and dashboarding\n\nExperience with a scripting language such as Python or R \n\nAptitude and experience in applied statistical modeling and machine learning techniques\n\nFirm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks\n\n\n\n💰Compensation\n\nFor US-based applicants: $178,000 - $260,000/year + benefits + stock options\n\nThe salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.\n🎁  Benefits\n\n\n* Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)\n\n* Health Insurance options including Medical, Dental, Vision\n\n* Work From Home Support\n\n\n* $1,000 home office setup allowance\n\n* $150 monthly allowance for cell phone and internet\n\n\n\n\n\n* Care benefits\n\n\n* $450 monthly allowance on food\n\n* $500 monthly allowance for wellness\n\n* $5,000 annual allowance towards Childcare\n\n* $20,000 lifetime benefit for family planning, such as adoption or fertility expenses\n\n\n\n\n\n* Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally\n\n* Parental Leave\n\n\n* 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.\n\n\n\n\n\n\n\n💛  EOE\n\nWhatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python and Finance jobs that are similar:\n\n $70,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

\nThe role\n\nWe are seeking a driven and ambitious Data Analyst to join our growing Data Analytics team, based in Berlin. Our team provides support across all teams like Product, Sales and Operations by developing insights and enabling analytical and automated decision making. We build strong partnerships with key stakeholders and work on challenges such as defining, implementing and tracking company-wide metrics, and leading initiatives to improve them\n\nZenjob is on the mission to become the digital staffing platform delivering companies best staffing experience with the highest flexibility and reliability, and workers the best choice and fair pay for side jobs. Our service is available in over 39 cities in Germany. Our growth financing round of $50 million (€45 million) from February 2022 is helping us to scale our platform and add new data-based automation features for our rapidly growing customer base.\n\nWhat you’ll be doing\n\nRequirements gathering\n\n\n* Collaborate with stakeholders to understand and define data analytical requirements that will help driving business initiatives\n\n* Define KPIs, success and health metrics in the context of product and business initiatives\n\n\n\n\nData collection and preparation:\n\n\n* Identify relevant data sources and work with data engineers and tracking experts to source the right data into the analytics environment\n\n* Prepare data to make it suitable for the analysis in context\n\n\n\n\nData exploration and analysis:\n\n\n* Conduct exploratory data analysis to uncover patterns, trends, and insights\n\n* Utilize statistical methods to extract actionable information from data\n\n* Develop and maintain core data models to support business analysts\n\n\n\n\nExperimentation\n\n\n* Support stakeholders during the hypothesis formulation and validation phase\n\n* With the collaboration of the data science and engineering teams, design and implement experiments around upcoming product features \n\n\n\n\nVisualization and reporting\n\n\n* Design and create effective data visualizations to communicate insights and trends\n\n* Hands-on experience with traditional BI tools (Tableau, Metabase) and, ideally, product analytics tools (Indicative) as well\n\n\n\n\nCommunication and collaboration\n\n\n* Communicate findings and recommendations to both technical and nontechnical audiences\n\n* Collaborate with cross-functional teams, including business analysts, data engineers, and product managers and decision makers\n\n* Provide training and support to end users for interpreting and using data visualizations in a self-service manner effectively \n\n\n\n\nWhat you’ll bring \n\n\n* 5-+ years of relevant experience interpreting data as an analyst or equivalent\n\n* High proficiency in querying and modeling data using Python and SQL\n\n* Ability to translate a business question into an analytical requirement considering its context: what the business is trying to achieve, the processes around it, the systems that interact and the data points available\n\n* Analyze the results of A/B-test experiments and derive conclusions or new hypothesis the business can follow up on\n\n* Great communication skills in stakeholder management from diverse backgrounds\n\n* Great communication skills in storytelling capable of creating a consistent narrative that gives meaning to the numbers\n\n* Extensive experience using different data visualization and reporting tools\n\n* Experience on analytics engineering using dbt is highly desirable\n\n* Plus: experience with experimentation platforms (eg. ABSmartly, Optimizely) and product analytical tools (eg. Indicative, Amplitude)\n\n\n\n\nWhat we offer:\n\n\n* A supportive, open, and fun team that will have your back from day 1. \n\n* Twenty-eight days of vacation (increases based on tenure to up to 30 days), 1-day special leave paid for charity work, five days of paid educational leave, and the option of unpaid leave. \n\n* Hybrid work setup combining office & remote work (3 days from office, 2 days home), flexible working hours, bring your dog policy. \n\n* Ongoing focus on your personal development (annual development budget of EUR 750, mentoring opportunities, continuous career conversations)\n\n* Mental Health support via Likeminded\n\n* Monthly 30 EUR subsidy on Urban Sports Club, 25% discount on FitX gym membership\n\n* Monthly 40 EUR credit for NAVIT- a sustainable mobility solution spanning public transport bike-sharing. \n\n* Tax-free meal allowance (saving EUR ~50 net per month!)\n\n* Quarterly team get togethers, budget for employees birthdays, winter & summer parties plus regular cultural talks & events\n\n\n\n\nIf this sounds exciting to you, then we'd love to find out more about you! Apply and send in your application.\n\nLife at Zenjob revolves around innovation, collaboration, and growth. Check out our video for a glimpse into what it's like to be part of our team: Link to Video 🎥\n\nWe invite you to explore our Career Page, follow our LinkedIn page, and connect with us on Instagram.\n\nWe are proud to be an equal opportunities employer. We are committed to assessing every qualified person according to their skills, regardless of age, gender identity, ethnicity, sexual orientation, disability status or religion. It is not necessary to include your photo and age with your application. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Video and Sales jobs that are similar:\n\n $52,500 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBerlin, Berlin, Germany