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  • Software Dev (5)

    • REQUIREMENTS


      * B.S. in Computer Science or equivalent experience followed by 5+ years work experience in using SQL and databases in a business environment

      * Expertise in Data Visualization

      * Experience with LookML (Looker) will be an advantage

      * Deep experience in the latest libraries and programming techniques

      * Familiar with SQL/NoSQL databases like MongoDB and their declarative query languages

      * Knowledge in using BI Analytics and related technologies


      WHO YOU ARE


      * You have accomplishments that showcase your capabilities by their success and technical depth.

      * You own new features from idea to completion.

      * Work well with a core team to design and execute major new features.

      * Enjoy contributing to a fast moving exciting project

      * Strong communicator and fluent in English with excellent written and verbal communication skills.

      * Thrive and excel in our diverse, distributed and agile team environment


      Our Benefits
      We know that people do their best work when they’re taken care of. So we make sure to offer great benefits.

      • Competitive Vacation Package

      • Annual Financial Allowance for YOUR development

      • Flexible Family Leave

      • Clevertech Gives Back Program

      • Clevertech U (Leadership Program, Habit Building, New Skills Training)

      • Clevertech Swag

      • Strong Clevertech Community



      How We Work
      Why do people join Clevertech? To make an impact. To grow themselves. To be surrounded by developers who they can learn from. We are truly excited to be creating waves in an industry under transformation.

      True innovation comes from an exchange of knowledge across all of our teams. To put people on the path for success, we nurture a culture built on trust, collaboration, and personal growth. You will work in small feature-based cross-functional teams and be empowered to take ownership.

      We make a point of constantly evolving our experience and skills. We value diverse perspectives and fostering personal growth by challenging everyone to push beyond our comfort level and try something new.

      The result? We produce meaningful work


      Getting Hired
      We hire people from a variety of backgrounds who are respectful, collaborative, and introspective. Members of the tech team, for example, come from diverse backgrounds having worked as copy editors, graphic designers, and photographers prior to joining Clevertech.

      Our hiring process focuses not only on your skills but also on your professional and personal ambitions. We want to get to know you. We put a lot of thought into the interview process in order to get a holistic understanding of you while being mindful of your time. You will solve problems derived from the work we do on a daily basis followed by thoughtful discussions around potential fit. Whatever the outcome, we want you to have a great candidate experience.


      Want to learn more about Clevertech and the team? Check out clevertech.careers.

      Clevertech Culture Video


    • About the Team

      The Recommendations team at Scribd owns the platform to create personalized recommendations for Scribd users. Creating effective recommendations for books and documents is a crucial part of highlighting the right set of content to Scribd users, based on the inference of their preferences. The Recommendations team uses state of the art technologies in Data Analytics and Machine Learning to provide a scalable, high performance solution to create personalized recommendations for millions of users.

      We are continuously innovating and improving the capabilities of the Recommendations Platform to achieve high levels of user engagement by creating personalized recommendations. We’re looking for engineers who have a strong expertise in creating robust and highly scalable data processing solutions using large scale Data Analytics and Machine Learning technologies.

      Key Responsibilities

      • You'll be responsible for driving the innovation on the Recommendations Platform to enhance existing features as well as build new capabilities to create personalized recommendations. 
      • Owning the design and development of critical components of the Recommendations Platform.
      • Analyzing customer activity using technologies such as Hive and Spark to identify the core set of attributes used for Data Analytics and Machine Learning models.
      • Implementing complex Machine Learning algorithms using technologies such as Spark ML to create personalized recommendations of books, documents and other content.
      • Owning the interface between the Recommendations Platform and the UI frontend to provide a low latency, highly available API.
      • Working closely with the Data Science team to design and execute A/B tests, analyze metrics, understand KPIs and identify next steps to continuously improve the user experience.
      • Collaborating with cross functional teams to review requirements and owning design and implementation activities for cross-team dependencies.

       About You

      • You’re a strong hands on Software Engineer who enjoys owning core components of the platform and creating highly scalable solutions to complex problems.
      • You are always learning and always working to improve your craft.
      • You are passionate about achieving cross team collaboration and setting best practices for the team in areas such as architecture, design, coding, code reviews and production rollout.

      Requirements

      • 3+ years of experience in design and development of large scale platforms/services.
      • Familiarity with developing Machine Learning models using Spark ML or other ML frameworks and using A/B testing to measure effectiveness.
      • Experience in Ruby, Hive, Spark and Scala would be a plus.
      • Bachelor’s Degree or equivalent professional experience.
    • 1 month ago

      At Numbrs, our engineers don’t just develop things – we have an impact. We change the way how people are managing their finances by building the best products and services for our users. 

      Numbrs engineers are innovators, problem-solvers, and hard-workers who are building solutions in big data, mobile technology and much more. We look for professional, highly skilled engineers who evolve, adapt to change and thrive in a fast-paced, value-driven environment.

      Join our dedicated technology team that builds massively scalable systems, designs low latency architecture solutions and leverages machine learning technology to turn financial data into action. Want to push the limit of personal finance management? Join Numbrs.

      Job Description

      You will be a part of a team that is responsible for developing, releasing, monitoring and troubleshooting large scale micro-service based distributed systems with high transaction volume. You enjoy learning new things and are passionate about developing new features, maintaining existing code, fixing bugs, and contributing to overall system design. You are a great teammate who thrives in a dynamic environment with rapidly changing priorities.

      All candidates will have

      • a Bachelor's or higher degree in technical field of study or equivalent practical experience
      • hands-on experience with highly concurrent production grade systems
      • experience with micro-service based architecture
      • strong hands-on experience with Golang (minimum 4 years)
      • knowledge of AWS, Kubernetes, and Docker
      • excellent troubleshooting and creative problem-solving abilities
      • excellent written and oral communication in English and interpersonal skills

      Ideally, candidates will also have

      • experience with professional software engineering best practices, coding standards, code reviews, testing and operations
      • experience with CI/CD toolchain products like Jira, Stash, Git, and CircleCI


    • Hundreds of thousands of businesses have bet their success on the reliability and performance of the Shopify platform. Uptime, resiliency and efficiency are critical to these businesses and as a result of Shopify’s rapid growth and massive scale, we have many interesting and challenging infrastructure problems to solve.

       

      At the heart of this platform are Shopify’s core database systems. These systems, where we store all merchant and customer data, are built around the MySQL ecosystem of open source tools. Over the past several years, we have been hard at work scaling and improving our database infrastructure, handling almost two million queries per second at peak. Now, we want to take it to the next level and we need your help to get us there!

       

      Responsibilities as a Database Engineer:

       

      As a member of Shopify’s Production Engineering organization and the Datastores team, you’ll be directly responsible for the scalability, availability, and integrity of the Shopify database infrastructure.

       

      As a Database Engineer, your day to day activities will include working closely with the support and development teams, some traditional database administration (DBA) work and some modern systems administration work (managing cloud infrastructure). As we continue to grow and scale, we need to achieve as much as possible through automation and hands-off management. We need your help, your experience, and your crazy ideas to design, build, and deploy the next generation of database management infrastructure to expand on what we have built to keep it truly world-class.

       

      We are currently running a cloud based state-of-the-art stack on Google’s Compute Engine and Container Engine. Our next challenges involve moving all our systems, including MySQL itself, as containerized services running under Kubernetes.

       

      All members of Production Engineering, including leads, also participate in an on-call rotation.

      You’ll need to:

      Have experience with the administration, operation, and performance tuning of MySQL, ideally in a Linux environment.

      Maintain an understanding of modern solutions to deploy services at scale.

      Be proficient in at least one programming language, and have the ability to read, write and understand scripts in languages such as Ruby, Python, or Go.

      Have an insatiable appetite to grow and learn how to manage systems at scale. It would be great if you:

      Understand modern high availability (HA) designs for MySQL, and have used MySQL HA-management solutions, such as Orchestrator.

      Have experience with MySQL proxies, such as ProxySQL.

      Understand containerization and deployment on Linux using technologies such as Docker and Kubernetes.

      Are up-to-speed and comfortable with cloud infrastructure, designs, and tools for Google Cloud and/or Amazon Web Services.

      Have some familiarity with existing cloud-managed “Database as a Service” solutions, such as  Google’s Cloud SQL or Amazon’s RDS/Aurora.

      Are competent using git for version control and especially using GitHub for pull requests, reviews, and issue management.

      Are familiar with the ecosystem of Open Source software used in production web environments, such as Rails, Redis and memcached.

       

      Some things you’ll be working on in your first few months:

      Learn about Shopify’s MySQL-based database infrastructure and get comfortable working safely and efficiently in it.

      Work on the projects that will allow us to offer to our internal customers a standardized “Database as a Service” platform which would cover absolutely all their needs, including HA, data integrity, schema migrations and changes, security, monitoring and alerts.

      Test (and try to break) our high availability systems in interesting new ways, and work out the kinks found in the process.

      Respond to internal support requests from other teams to help ensure their success in developing their own applications or supporting their customers.

       

      We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Please take some time to tell us why you’d be an awesome addition to our team and how this role would be a fit for you!


    • Who We Are

      Dia&Co is the only retail service dedicated to meeting the plus size community’s full range of style needs. We’re applying the best of data and technology to serve women who have been ignored for far too long—from developing the shopping experiences she’s always wanted, to building community platforms that inspire her, to ensuring she sees herself represented in the world around her.

      What We’re Looking For

      We are seeking an expert software developer who wants to join us in creating a suite of large consumer-facing and internal products that are transforming both operational efficiency and consumer e-commerce. Our product team is small, smart, and fast. We value and support design perfectionism, off-the-charts ambition, independent thinking, design/engineering collaboration, mobile-first thinking, true agility, user testing, analytics-driven UX design, constant iteration, and building a beloved consumer brand.

      You

      • have 4+ years development with Python (including web frameworks)
      • have a computer science BS or equivalent
      • write clear, self-documenting code, and seek out best practices
      • are serious (but pragmatic) about TDD, and refactor aggressively
      • are aware of performance trade-offs and write efficient, scalable code
      • are familiar with a range of modern data stores (Postgres, Redis, ElasticSearch)
      • can work as a full-stack developer, though you may prefer frontend/backend
      • think independently and love sharing your own technical solutions with others.
      • aren’t afraid of some dev-ops work as needed (we’re fully on AWS/OpsWorks)

      We:

      • strive daily to transform the fashion industry, from working with existing top brands to creating our own private label collections from the ground up
      • are a Sequoia Capital-backed (Series C), growth-stage startup co-founded by two women
      • have styled countless amazing women across the country in the past three years—they are at the core of everything that we do
      • foster a culture of autonomy and accountability—your contributions make a big difference
      • have an office that is buzzing with excitement—we are genuinely happy to be at work each day
      • celebrate each other’s individuality and unique skill sets
      • create good karma by aiming to surprise and delight at every touchpoint

      Benefits & Perks

      • competitive salaries, flexible vacation policy and top quality medical, dental, and vision plans
      • a leadership team that embraces technology, creativity, and initiative
      • great snacks, Bagel Wednesdays, office happy hours and a fun office environment!
      • located in Hudson Square (the heart of Tribeca, SoHo and West Village) or in LA (Culver City WeWork)
  • Product (2)

    • Elastic (US or Europe)
      1 month ago

      At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to real time Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 30+ countries into one coherent team, while the broader community spans across over 100 countries.

      We are looking for a Senior Product Manager to focus on the SaaS Cloud offerings of Elastic. Elastic Cloud is the fastest growing product in the Elastic Stack and this person will provide meaningful thinking to the future roadmap and customers who rely on it.

      If you are passionate about SaaS and cloud specifically, we would enjoy talking with you!

      What You Will Be Doing:

      You will work together with the Cloud Product Management team, engineering, customers, other internal stakeholders to position and grow Elastic Cloud.

      You will capture market competitive and trend data, customer feedback, customer usage data, and other key information to develop product insights and help drive the product roadmap.

      In addition, you will:

      • Develop detailed use-cases and product requirements, working closely with the engineering team through the design, development, and product deployment process
      • Independently measure product KPIs, which will drive process improvements and future product features
      • Build relationships with cloud vendors
      • Understand and remedy customer needs by interacting directly with customers, reading and understanding support tickets, and listening for valuable feedback
      • Support product marketing and sales enablement to craft customer focused messaging and content
      What You Bring Along:
      • You have 4+ years in product management for a SaaS product(s) and have a deep understanding of SaaS and IaaS domains, ideally developer-targeted SaaS products.
      • Some development hacking skills which translates to the ability to dive deeply into the technical understanding of how a product works.
      • Ability to understand customer needs, build customer value and highlight competitive differentiation through packaging and pricing
      • Experience crafting high quality sales and customer-facing content including presentations and web copy as well as guiding the product marketing team to create content
      • Excellent spoken and written English communication skills
      • Experience working with user tracking and web marketing tools (Mixpanel, VWO, Intercom, GA, Heatmaps)
      • Experience with search, logging, and analytics products in the big data ecosystem (Elasticsearch, Solr, Hadoop, MongoDB, Spark etc)
      • Experience working in a distributed organization
      Additional Information:
      • Competitive pay based on the work you do here and not your previous salary
      • Stock options
      • Global minimum of 16 weeks of paid parental leave (moms & dads)
      • Generous vacation time and one week of volunteer time off
      • An environment in which you can balance great work with a great life
      • Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.
      • Distributed-first company with Elasticians in over 30 countries, spread across 18 time zones, and speaking over 30 languages!
    • 2 months ago
      At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to real time Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 30+ countries into one coherent team, while the broader community spans across over 100 countries. We are looking for a Sr. Product Manager to drive the success of our Cloud products. Elastic Cloud is our hosted Elasticsearch and Kibana service and is the fastest growing product of Elastic and we need your help in making it even better and bringing it to its fullest potential. If you're technical, have experience with developer-targeted product and are looking to join and dynamic and growing team, this job is for you!

      Responsibilities:

      • Gather requirements from customers, sales and Elastic’s own operations team and help with ongoing prioritization of features
      • Define KPIs to collect and analyze. Use this data to identify trends and make recommendations on how the platform can be optimized and improved, including (but not limited to) UX, pricing, packaging and product offerings
      • Support the sales team on customer engagements and take part in sales enablement activities within Elastic
      • Provide engineering with inputs on new and existing features and make sure they’re aligned with customers needs.
      • Work with the marketing and product marketing teams on messaging, positioning and launch activities.

      Requirements:

      • Solid understanding and familiarity with cloud technologies (such as AWS, Azure, and GCP) and developer-focused products
      • Technical aptitude and attention to detail
      • Excellent spoken and written communication skills
      • 2+ years of proven track record in product management at a SaaS software company

      Preferred skills and experience:

      • BA or a higher degree in a technical field (e.g. EE, CS)
      • Experience with Open Source software and/or commercial open source companies.
      • Experience building and/or operating a SaaS product
      • Experience with search, logging, and analytics products in the big data ecosystem (Elasticsearch, Solr, Hadoop, MongoDB, Spark etc)

      Additional Information

      We're looking to hire team members invested in realising the goal of making real-time data exploration easy and available to anyone. As a distributed company, we believe that diversity drives our vibe! Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life.
      • Competitive pay based on the work you do here and not your previous salary
      • Equity
      • Global minimum of 16 weeks of paid in full parental leave (moms & dads)
      • Generous vacation time and one week of volunteer time off
      • Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.
  • All others (3)

    • Rho AI (USA)
      1 week ago

      Rho AI was founded in 2012 by a small team of entrepreneurs, data scientists, and engineers. We set out to develop custom software for professional motorsports to predict an optimal race strategy. Since then, our real-time strategy recommendations have factored heavily into multiple victories and we are proud to count Richard Childress Racing, Hendrick Motorsports, and General Motors as some of our partners.

      Today, Rho AI’s products are used in a wide range of industries, including healthcare, finance, sports, waste, water, climate change, and energy.

      Rho AI:

      • The people - dependable, driven, and collaborative team.
      • The problems - mix of products and services across diverse domains.
      • The tech - modern tools to build pragmatic data-driven applications.
      • The structure - 100% remote-only team & self-funded since 2012.

      Sound interesting? We are hiring for a variety of experience levels, so all are welcome to apply. We are especially interested in hearing from early-career candidates who have a mathematically inclined higher degree (Masters or PhD), and/or publicly available evidence of non-trivial data science work. Please reach out if:

      You are looking to:

      • Apply academic and/or software development background to industry problems in a full-time data science and machine learning role.
      • Skill up in machine learning topics, including the use of modern techniques in deep learning and natural language processing.
      • Do a mix of exploratory research, proof of concept / MVP projects, and production-level algorithms.

      You have:

      • (Must) Tackled semi-defined, real-world problems by developing hypotheses, iteratively exploring datasets, and crafting machine learning solutions.
      • (Must) A non-trivial amount of experience using Python-based analysis tools, such as NumPy, Pandas, and scikit-learn.
      • (Should) Worked on projects requiring the corralling of large datasets.
      • (Should) Presented your findings through visualizations, writing, and/or speaking.
      • (Nice) A quantitative background in Statistics, Computer Science, Math, etc.
      • (Nice) Used deep learning Python libraries such as TensorFlow and PyTorch.

      You would like these perks:

      • Work from anywhere in the US! Rho AI is a tight-knit, fully distributed team.
      • Work with a highly engaged team, learn together, and make decisions that impact the whole company.
      • Benefits, including health insurance and 401k.

      You meet these criteria:

      • You are seeking a full-time job.
      • You reside in the United States.
      • You are authorized / eligible to work for any company in the United States.
      • You are within 3 time zones of Eastern Time, or willing to align your schedule.

      To get an interview, please supply:

      • A cover letter that explains why you are: 1) specifically interested in Rho AI as a company and 2) good fit for this particular position
      • A resume that includes: 1) your relevant professional experience, and 2) links to code samples, technical blog posts, and other examples of your work.
    • About Sourceress

      Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

      Because of this, we raised $3.5M from OpenAI researchers and Lightspeed Venture Partners at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and hails from MIT, Google, Airbnb, McKinsey, etc.

      Help us create a world where all 7 billion people work at jobs that they love, do things that they’re great at, and work for companies that are solving meaningful problems.

      Responsibilities

        • You’ll spend most of your time labeling data. You’ll work alongside an existing contracting team of several dozen and be responsible for our most quantifiably difficult or ambiguous datasets.
        • You’ll work closely with machine learning engineers to refine specs or, in some cases, redesign datasets from the ground up.
        • You’ll label and categorize edge cases, which we’ll use to test future model improvements; this way we can be sure we don’t introduce performance regressions.
        • You’ll work with machine learning engineers to debug strange model behavior.
        • You’ll suggest missing model features to machine learning engineers by reflecting on your intuitions and decision making process, improving our models' ability to pick up on signals in the data.
        • You’ll be responsible for generating ideas for how to streamline and improve the internal tools you use.

      Requirements

        • Knowledge of software engineering, tools, libraries, etc
        • Grit.
        • Strong communication skills.
        • Reflective. You should be able to explain why you make decisions.
        • Excellent judgment in the face of ambiguity.
        • Ideal candidates will have good product and design skills.
      Benefits

      This role is exceptionally remote-friendly. About half of our team is full-time remote, our San Francisco office has “portals”(a large TV, high quality microphone, and webcam) in every well-trafficked room, and remote team members even participate in lunch conversations and book club.

      You'll also learn a lot about how a hyper-growth AI-powered startup works from the inside. You’ll gain intimate familiarity with what high-quality data looks like, what internal tooling is effective, how to iterate on features and models, insights from working with machine learning engineers, etc.
    • Elastic (US timezone)
      1 week ago
      At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to real time Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 30+ countries into one coherent team, while the broader community spans across over 100 countries.
      With solutions like Site Search, App Search and Enterprise Search, the Swiftype team at Elastic focuses on bringing the power of the Elastic Stack and open source projects to businesses and teams of all sizes, focusing on powerful search features in a packaged, turn-key experience that can be brought to market rapidly.
      We are looking for a (Senior) Product Manager to focus on the Swiftype suite of Search Solutions within Elastic. We are open to 2 different levels here: 1) A Software Engineer (preferably front-end) who is interested in shifting or has recently shifted to Product Management. 2) A tenured Product Manager ready to advance to the senior level. Please note that this position needs to currently be based in USA time zones.
      The Swiftype product suite is focused primarily on search use cases — from consumer-facing Site Search (e.g. the search bar the helps you find products on an ecommerce website) to internal employee-facing Enterprise search (e.g. search over internal company data that helps you find what you need to get your job done.) In this role, you will be responsible for gathering meaningful market data trends, customer feedback, and application usage data points.
      If you are passionate about search, and have an eye for taking complex technical problems and crafting elegant product experiences that mask away complexity, then this job is for you!

      What You Will Be Doing:

      You will work together with the Swiftype Product Management team, engineering, and other internal stakeholders to position and grow the Swiftype suite of products.
      You will capture market data, customer feedback, customer usage data, and other key information to develop product insights and help drive the product roadmap.
      In addition, you will:
      * Develop detailed use-cases and product requirements, working closely with the engineering team through the design, development, and product deployment process
      * Independently measure product KPIs, which will drive process improvements and future product features
      * Understand and remedy customer needs by interacting directly with customers, reading and understanding support tickets, and listening for valuable feedback
      * Support product marketing to craft customer focused messaging and content

      What You Bring Along:

      You have 1-3+ years in product management and have a deep understanding of SaaS and IaaS domains. In fact, your experience is with developer-focused SaaS products (mandatory).
      In addition, you have:
      * Bachelor’s degree in a technical field (e.g. CS, CSE, EE) or relevant work experience in software development (mandatory)
      * A deep understanding of HTML, CSS, and JavaScript--how they work and what's possible (mandatory)
      * Ability to understand customer needs, build customer value and highlight competitive differentiation through packaging and pricing
      * Experience crafting high quality sales and customer-facing content including presentations and web copy as well as guiding the product marketing team to create content
      * Excellent spoken and written communication skills
      * Experience working with user tracking and web marketing tools (Mixpanel, VWO, Intercom, GA, Heatmaps)
      * Experience with search, logging, and analytics products in the big data ecosystem (Elasticsearch, Solr, Hadoop, MongoDB, Spark etc)
      * Experience working in a distributed organization

      Additional Information:

      * Competitive pay based on the work you do here and not your previous salary
      * Equity
      * Global minimum of 16 weeks of paid parental leave (moms & dads)
      * Generous vacation time and one week of volunteer time off
      * An environment in which you can balance great work with a great life

      * Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.