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Quora
Quora is an online knowledge-sharing platform where people can ask and answer questions on any topic. It was founded in 2009 and has grown to become one of the most popular Q&A websites in the world. Quora's mission is to provide people with the best possible knowledge and to enable them to share and grow the world's knowledge. Through its unique algorithm, Quora helps users find the most relevant answers to their questions. It also allows users to follow topics or other users and join conversations. Quora is a great resource for anyone looking to find answers to their questions or to learn more about any topic.
But for years, Quora has also explicitly forbidden the Internet Archive from indexing their site. This is what you’ll see if you try to find any Quora page in the Wayback Machine’s index.waxy.orgQuora could do literally nothing, and the Internet Archive would actively preserve the work of their millions of users for the future, but they’ve chosen to exclude their site from being archived.
Quora gives you many methods to follow your topics and even specific posts. Be sure that you subscribe to your main topics and some of the more reputable spaces in your niches. Pay attention to this.ecommerce-optimizer.comQuora is optimized so well that Google indexes and ranks questions, answers, and users, giving link builders a way to receive additional traffic through Quora without being penalized by Google.
We will understand how Quora distributes its features and how revenue streams help it make money. Quora is a Q&A site that allows people to ask any question and have real people answer it.bemorepanda.comThis post will help you understand Quora's business model that it adopted to succeed and become one of the "unicorn startups" with a whopping $1.8 billion valuation.
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EncryptedSite is Encrypted
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CountryHosted in United States
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CityAshburn, Virginia
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Latitude\Longitude39.0481 / -77.4728 Google Map
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Traffic rank#326 Site Rank
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Site age24 yrs old
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Site Owner informationWhois info
Website is Safe
Site is not blacklisted
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FoundedJune 25, 2009
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HeadquartersMountain View,,,California,, U.S.
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Founder(s)Adam D'Angelo,Charlie Cheever
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Key peopleAdam D'Angelo,(CEO),Kelly Battles (CFO)
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LaunchedJune 21, 2010
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Type of businessPrivate
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Type of siteQuestion and answer
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Available inArabic,,,Marathi,,,Danish,,,Dutch,,,English,,,Finnish,,,French,,,German,,,Gujarati,,,Hebrew,,,Hindi,,,Indonesian,,,Italian,,,Japanese,,,Kannada,,,Malayalam,,,Bengali,,,Norwegian,,,Polish,,,Portuguese,,,Spanish,,,Swedish,,,Tamil,,,Telugu
Traffic rank
#326
#326
Site age
24 yrs
24 yrs
Location
United States
United States
Popular Questions for Quora
Newest job postings for Quora
via Tarta.ai
schedule_type: Full-timework_from_home: 1
[As of June 2020, Quora has become a "remote-first" company. This position can be performed remotely from anywhere in the world, regardless of any location that might be specified above.]
About Quora
...
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only
[As of June 2020, Quora has become a "remote-first" company. This position can be performed remotely from anywhere in the world, regardless of any location that might be specified above.]
About Quora
...
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. We want to democratize access to knowledge of all kinds — from politics to painting, cooking to coding, etymology to experiences — so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
About the Team:
Unsurprisingly, then, the Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our rigor-driven experimentation processes to the backgrounds of our leaders (including many Product Managers and the Head of Product being former full-time data scientists). With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and work to advance our culture of rational decision making.
About the Role:
As a data scientist in ads, you'll work closely with sales leadership, product managers, and engineers to devise appropriate measurements and metrics, build visualizations, design randomized controlled experiments, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. In this role, you will deliver data-driven insights to guide our business strategy and extract untapped value in our platform by developing a deep understanding of our advertisers and users. Quora has a wide range of rich data, giving you ample room for exploration and creativity. For more about our work, see Quora's Data blog at https://quoradata.quora.com/.
Responsibilities:
• Extract actionable insights from broad, open-ended questions to influence sales and product strategy and drive roadmap decisions
• Analyze data to understand the root causes of metric movements and uncover growth opportunities
• Design and evaluate A/B tests to make informed recommendations on product changes
• Develop metrics and create dashboards to orient the direction of business development and track the success of the business
• Communicate insights and recommendations to key partners
• Improve the work of other data scientists through mentorship, tool development, and by bringing good industry practices to the team
Minimum Qualifications:
• Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time). Learn why here
• B.S., M.S., or Ph.D. in a quantitative field
• 2+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
• Proficiency in using SQL and procedural programming languages (e.g. Python, R) to manipulate and analyze data
• Familiarity with theoretical foundations of statistical techniques (e.g. hypothesis testing, regression)
• Demonstrated ability to exercise judgment and combine quantitative skills with intuition to translate numbers into insights
• Demonstrated ability to clearly explain data results to cross-functional teams
Preferred Qualifications:
• 4+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
• Experience evangelizing best practices and process improvements on your team
• Experience working with large data sets and distributed computing tools (e.g. Presto, Redshift)
• Experience pushing code and navigating a complex codebase
• Active Quora user with curiosity about the product
Additional Information:
For Colorado based applicants, the minimum salary range is $129,000 - $171,000 + equity + benefits. For New Jersey based applicants, the minimum salary range is $152,000 - $201,000 + equity + benefits. There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act (CCPA) disclosure
#LI-RJ1 Show more details...
About Quora
...
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. We want to democratize access to knowledge of all kinds — from politics to painting, cooking to coding, etymology to experiences — so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
About the Team:
Unsurprisingly, then, the Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our rigor-driven experimentation processes to the backgrounds of our leaders (including many Product Managers and the Head of Product being former full-time data scientists). With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and work to advance our culture of rational decision making.
About the Role:
As a data scientist in ads, you'll work closely with sales leadership, product managers, and engineers to devise appropriate measurements and metrics, build visualizations, design randomized controlled experiments, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. In this role, you will deliver data-driven insights to guide our business strategy and extract untapped value in our platform by developing a deep understanding of our advertisers and users. Quora has a wide range of rich data, giving you ample room for exploration and creativity. For more about our work, see Quora's Data blog at https://quoradata.quora.com/.
Responsibilities:
• Extract actionable insights from broad, open-ended questions to influence sales and product strategy and drive roadmap decisions
• Analyze data to understand the root causes of metric movements and uncover growth opportunities
• Design and evaluate A/B tests to make informed recommendations on product changes
• Develop metrics and create dashboards to orient the direction of business development and track the success of the business
• Communicate insights and recommendations to key partners
• Improve the work of other data scientists through mentorship, tool development, and by bringing good industry practices to the team
Minimum Qualifications:
• Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time). Learn why here
• B.S., M.S., or Ph.D. in a quantitative field
• 2+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
• Proficiency in using SQL and procedural programming languages (e.g. Python, R) to manipulate and analyze data
• Familiarity with theoretical foundations of statistical techniques (e.g. hypothesis testing, regression)
• Demonstrated ability to exercise judgment and combine quantitative skills with intuition to translate numbers into insights
• Demonstrated ability to clearly explain data results to cross-functional teams
Preferred Qualifications:
• 4+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
• Experience evangelizing best practices and process improvements on your team
• Experience working with large data sets and distributed computing tools (e.g. Presto, Redshift)
• Experience pushing code and navigating a complex codebase
• Active Quora user with curiosity about the product
Additional Information:
For Colorado based applicants, the minimum salary range is $129,000 - $171,000 + equity + benefits. For New Jersey based applicants, the minimum salary range is $152,000 - $201,000 + equity + benefits. There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act (CCPA) disclosure
#LI-RJ1 Show more details...
via Karkidi
posted_at: 26 days agoschedule_type: Full-timesalary: 120K–190K a yearwork_from_home: 1
Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high-quality code by... designing APIs and abstractions that are extensible and
Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high-quality code by... designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.
To fully achieve our mission, we need to make sure that the knowledge on Quora will improve and last forever. Revenue from our monetization efforts plays a critical role in empowering us to do that. In just two years since we first launched our advertising platform, we've already grown to support thousands of advertisers who are reaching over 300 million monthly unique visitors on Quora. Our journey is just beginning as we continue to build new products from the ground up and tackle exciting challenges at scale. Today, we're working on a broad range of areas to support our data-intensive needs: metrics and insights reporting, audience targeting, low-latency real-time ad delivery, and a suite of advertiser tools to create and optimize campaigns, to name just a few.
About the Role:
At Quora, we use Machine Learning in various parts of the product - feed ranking, spam detection, topic and user recommendations, etc. Our team of Machine Learning Engineers and have a high impact by advancing the current Machine Learning systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.
Responsibilities:
• Improve our existing Machine Learning systems using your expertise
• Identify new opportunities to apply Machine Learning to different parts of the Quora product
• Work with other engineers to implement algorithms and systems in an efficient way
• Take end-to-end ownership of Machine Learning systems - from data pipelines and training to real-time prediction engines.
Minimum Qualifications:
• B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
• Strong understanding of mathematical foundations of Machine Learning algorithms
• Knowledge of Python or C++, or the ability to learn them quickly
• A passion for learning and always improving yourself and the team around you
Preferred Qualifications:
• Previous software engineering experience via an internship, work experience, or coding competition
• Passion for Quora's mission and goals Show more details...
To fully achieve our mission, we need to make sure that the knowledge on Quora will improve and last forever. Revenue from our monetization efforts plays a critical role in empowering us to do that. In just two years since we first launched our advertising platform, we've already grown to support thousands of advertisers who are reaching over 300 million monthly unique visitors on Quora. Our journey is just beginning as we continue to build new products from the ground up and tackle exciting challenges at scale. Today, we're working on a broad range of areas to support our data-intensive needs: metrics and insights reporting, audience targeting, low-latency real-time ad delivery, and a suite of advertiser tools to create and optimize campaigns, to name just a few.
About the Role:
At Quora, we use Machine Learning in various parts of the product - feed ranking, spam detection, topic and user recommendations, etc. Our team of Machine Learning Engineers and have a high impact by advancing the current Machine Learning systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.
Responsibilities:
• Improve our existing Machine Learning systems using your expertise
• Identify new opportunities to apply Machine Learning to different parts of the Quora product
• Work with other engineers to implement algorithms and systems in an efficient way
• Take end-to-end ownership of Machine Learning systems - from data pipelines and training to real-time prediction engines.
Minimum Qualifications:
• B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
• Strong understanding of mathematical foundations of Machine Learning algorithms
• Knowledge of Python or C++, or the ability to learn them quickly
• A passion for learning and always improving yourself and the team around you
Preferred Qualifications:
• Previous software engineering experience via an internship, work experience, or coding competition
• Passion for Quora's mission and goals Show more details...
via Karkidi
schedule_type: Full-timesalary: 120K–190K a yearwork_from_home: 1
As a manager on the Monetization team, you'll lead and grow a team that is focused on generating revenue for the success of the company and mission to share and grow the world's knowledge. To fully achieve this, we need to make sure that the knowledge on Quora will improve and last forever. Revenue from our monetization efforts plays a critical role in empowering us to do that. You’ll work... closely with other product development leaders to plan,
As a manager on the Monetization team, you'll lead and grow a team that is focused on generating revenue for the success of the company and mission to share and grow the world's knowledge. To fully achieve this, we need to make sure that the knowledge on Quora will improve and last forever. Revenue from our monetization efforts plays a critical role in empowering us to do that. You’ll work... closely with other product development leaders to plan, prioritize, and deliver scalable, reliable products that delight our users, advertisers and businesses on Quora.
Responsibilities:
• Lead and grow a team of full-stack and backend software engineers to deliver high-impact projects within Ads, business products and subscriptions.
• Mentor and guide the professional and technical development of team members.
• Collaborate with Product Management, Design, Data Science, Sales, and Marketing to shape the team roadmap and ensure successful execution towards our strategy.
• Work with the Engineering management team to develop new initiatives and improve existing processes across the entire Engineering team.
• Work with Recruiting to grow the team, including sourcing, interviewing, branding, and onboarding.
Minimum Qualifications:
• 5+ years of industry experience architecting, building, and scaling user-facing products
• 2+ years of industry experience in online advertising, subscriptions or related areas in monetization & marketing
• 2+ years of direct management experience in a technology company
• Strong understanding of either distributed systems and scalability, or of the web applications stack
Preferred Qualifications:
• Passion for Quora's mission and goals Show more details...
Responsibilities:
• Lead and grow a team of full-stack and backend software engineers to deliver high-impact projects within Ads, business products and subscriptions.
• Mentor and guide the professional and technical development of team members.
• Collaborate with Product Management, Design, Data Science, Sales, and Marketing to shape the team roadmap and ensure successful execution towards our strategy.
• Work with the Engineering management team to develop new initiatives and improve existing processes across the entire Engineering team.
• Work with Recruiting to grow the team, including sourcing, interviewing, branding, and onboarding.
Minimum Qualifications:
• 5+ years of industry experience architecting, building, and scaling user-facing products
• 2+ years of industry experience in online advertising, subscriptions or related areas in monetization & marketing
• 2+ years of direct management experience in a technology company
• Strong understanding of either distributed systems and scalability, or of the web applications stack
Preferred Qualifications:
• Passion for Quora's mission and goals Show more details...
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