Ntropy is looking for a Head of Talent who would like to be one of the founding members of the company and build the team to fuel our next stage of growth. Exceptional talent is the driving force behind Ntropy's success and a key to achieving our mission of a scalable data network for financial transactions. \n\nResponsibilities:\n- Design and manage an effective sourcing, evaluation and on-boarding pipeline that can support our growth, while providing a great candidate experience.\n- Create and continuously improve strategies to identify, attract, and engage top talent.\n- Attend interviews alongside engineers to help evaluate candidates.\n- Assist in background and reference checks.\n\nKey qualifications:\n- 3+ years of recruiting experience.\n- Ability to distinguish between the top 1% and the top 50% of talent.\n- Ability to find, engage, qualify, and close the best candidates.\n- Ability to learn the basic technical fundamentals of each position for which you’re hiring.\n- Ability to build a deep understanding of our business and culture.\n- Track record of employing non-standard and creative recruiting methods.\n- Ability to build strong relationships with candidates.\n- Ability to use data to develop and continuously improve the recruitment process.\n- Experience hiring for highly technical roles.\n\nPreferred qualifications:\n- Experience using Lever, LinkedIn and other relevant tools.\n- Experience in start-up environments with full ownership and autonomy.\n- Experience with creating targeted sourcing campaigns, organizing networking events, coding competitions, event sponsorships, etc.\n\nWhat we offer:\n- An opportunity to work with some of worlds smartest and most talented people in their fields.\n- Competitive salary and stock options.\n- Excellent medical, dental, and vision insurance.\n- Regular company off-sites.\n- Unlimited PTO and remote work environment with flexible working hours.\n- Competitive salary and stock options.\n- 401k with 100% match up to 4% with immediate vesting and eligibility.\n\nNtropy is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.\n\n\nFAQ\n\nWhat if I recommend someone who ends up getting hired?\n\nWe will give you 20k USD for the referral.\n\nWhere is Ntropy located?\n\nWe are fully remote, with a virtual base in New York, US.\n\nWhat time-zones do you work with?\n\nWe hire anywhere in GMT-7 to GMT+1.\n\nDo you consider part-time work?\n\nNot at the moment. Full-time roles only.\n\nHow are you funded?\n\nWe are backed by some of the top fintech investors in the world. Can share more details over the call.\n\nDo you already have a product?\n\nYes. We have been in production since 1st April 2021 and have been rapidly growing since.\n\nWhat are your hiring plans?\n\nWe aim to be 45-50 people by the end of 2022. Mostly engineering roles.\n\nWork / life balance?\n\nWe are a startup which requires you to put in a lot more work and soul than a regular job. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.\n\nWhat is the compensation?\n\n$100k • 0.05%\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Sales, Engineer, Front End and Executive 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\nRemote

Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.\n\nOne of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our first product is an API that makes financial transactions accessible with minimal engineering overhead to both humans and machine-learning models in a scalable and privacy-preserving way.\n\nWe\n - are allergic to over-engineering.\n - are anarchists at heart and like to hack around the status quo.\n - are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results. \n - are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.\n - have a sense of humor (well, we think we do).\n\nAs an early member of our frontend engineering team, you will help\n - shape our product and culture.\n - build the team and drive the direction of the company.\n - experience the direct impact of what you build on hundreds of millions of people’s financial lives.\n\nThe following is a big plus\n- Experience with modern JavaScript frameworks and libraries such as React, Vue, and Angular.\n- Experience with styling web applications, using tools like CSS (CSS modules) or CSS-in-JS (Styled Components).\n- Experience building usable responsive web interfaces that look good and run smoothly in the browser\n- A knack for creating intuitive user experiences.\n- Experience with SEO and hosting websites\n- Recognized open-source contributions\n\n\n\nFAQ\n\n\nWhat if I recommend someone who ends up getting hired?\n\nWe will give you 20k USD for the referral.\n\nWhere is Ntropy located?\n\nWe are fully remote, with a virtual base in New York, US.\n\nWhat time-zones do you work with?\n\nWe hire anywhere in GMT-7 to GMT+1.\n\nDo you consider part-time work?\n\nNot at the moment. Full-time roles only.\n\nHow are you funded?\n\nWe are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.\n\nDo you already have a product?\n\nYes. We have been in production since 1st April 2021 and have been rapidly growing since.\n\nDo you plan to sell customer data?\n\nNtropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.\n\nWhat is the interview process like?\n\n1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).\n\n2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.\n\n3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.\n\nAbove all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.\n\nWhat are your hiring plans?\n\nWe aim to be 22-25 people in the next 6 months. Mostly engineering roles.\n\nWhat is your current stack?\n\nback-end - Python + Rust (where performance matters)\nfront-end - React\ncompute - AWS + Azure\nML - PyTorch + ONNX\ninfra - Redis (cache), RDS + S3 (storage), EKS + Lambda (auto-scaling), EC2 4xGPU nodes (training)\n\nWork / life balance?\n\nWe are a startup which requires you to put in a lot more work and soul than a regular job. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.\n\nWhat is the compensation?\n\n$130k • 0.1% - 0.15%\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Sales, Engineer, Front End, Executive, JavaScript, Video, CSS, Python, SEO and API jobs that are similar:\n\n $65,000 — $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\nRemote

About us \nNtropy is a building financial data infrastructure for fintechs, banks and software businesses offering financial products and services. \n\nThe Ntropy API allows developers to leverage programmatic decisions on top of financial data without spending years and millions of dollars. The company’s machine learning models automatically extract information from transactions and power various new generation financial products, from smarter corporate credit cards and tax services to automated personal money management, investments and more. \n\nNtropy is the industry leader in this technology. Our customer base has more than doubled in 2021, and include Capchase, NIUM and other leading financial services businesses. We’re backed by top venture capital firms that are behind Nubank, Klarna, Current, CreditKarma, as well as top angels from Square, Uber, and others.  \n\nMore about our team\nNtropians value\n- Candor\n- Ownership\n- Fun\n- Read more about our culture here.\n\nWhy we’re hiring \nWe’re growing quickly and looking for a Strategic Partnerships Manager to build and oversee our partnerships program across the banking, fintech and broader technology ecosystem. You will have an opportunity to shape the partnerships strategy and culture from the start, and work very closely with clients and the CEO. It’s a proactive and super fast-paced setting, where you get to control impact and direction from the get-go.\n\nWhat you’ll be doing \nAs Strategic Partnerships Manager you will report to the CEO and will be tasked with developing our overall partnerships strategy. You will also build our reseller program. You will “own” the full partner relationship, from opportunity generation, pricing/structuring, and the legal contracting process and beyond. Once a partnership is signed you will work with the partner to drive utilization and success of the partnership.   \n\nSpecifically, you will:\n- Work to ensure partner satisfaction by anticipating their needs and understanding the overall vision of their company. \n- Source and sign new partners, and maintain existing relationships\n- Act as primary point of contact for new and existing partners\n- Design our onboarding process for fintech partners\n- Maintain & negotiate commercial contracts & relationships\n- Create pricing strategies, as needed\n- Identify new revenue streams & opportunities to upsell existing partners\n- Manage Ntropy roadmap discussions with news & existing partners \n\nWho we’re looking for \nReporting to the CEO, we're looking for an ambitious, resourceful and results-oriented problem solver with at least 4 years of experience in a software or technology partnerships role. If you are comfortable with setting up your own process and being around type A-s that are work in progress, you will enjoy it here. \n\nAdditionally, you will have:\n- Deep knowledge & proven track record in partnerships \n- Fintech or consumer financial services experience\n- Experience working with product and engineering teams in a partnerships, program management or strategy / operations function\n- Experience running complex, cross-functional projects and initiatives; demonstrated track record of multi-tasking and coordinating efforts across multiple stakeholdersIntelligence, experience and passion\n- Excellent communication and interpersonal skills and the desire to work in an external role. \n- Expertise in influencing internal and external partners by building trust and credibility; demonstrated ability to influence and foster deep positive relationships with external partners\n\nPerks & Benefits \n- Unlimited PTO & remote work environment with flexible working hours\n- Competitive salary & stock options commensurate with experience\n- 401k with 100% match up to 4% with immediate vesting and eligibility\n- Medical, Dental, Vision benefits (Plus membership to One Medical for all US-based employees)\n- a one time $800 stipend to set up your WFH space\n- New computing equipment to get the job done\n- Company Swag\n- All expenses paid international company off-sites (we went to the UK in 2021!) \n\nJoining at this stage means you will have an outsized impact on our growth and where we are headed. \n\nWe’re excited to meet you!  \n\nNtropy is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Sales, Engineer, Executive, API, Legal and Medical jobs that are similar:\n\n $80,000 — $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\nRemote

Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.\n\nOne of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our first product is an API that makes financial transactions accessible with minimal engineering overhead to both humans and machine-learning models in a scalable and privacy-preserving way.\n\nWe\n - are allergic to over-engineering.\n - are anarchists at heart and like to hack around the status quo.\n - are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results. \n - are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.\n - have a sense of humor (well, we think we do).\n\nAs an early member of our sales engineering team, you will help\n- scale and optimize our sales operations\n- shape our sales process, distribution strategy and culture.\n- experience the direct impact of what you build on hundreds of millions of people’s financial lives.\n- preparing and developing technical presentations to explain our company's products and services to customers\n- collaborating with sales teams to understand customer requirements and provide sales support\n- setting and achieving sales goals and quotas\n\nThe following are required:\n- experience with software engineering and REST APIs\n- at least 2 years of experience with the enterprise sales process\n\n\nFAQ\n\n\nWhat if I recommend someone who ends up getting hired?\n\nWe will give you 10k USD for the referral.\n\nWhere is Ntropy located?\n\nWe are fully remote, with a virtual base in New York, US.\n\nWhat time-zones is this position for?\n\nAnywhere in the US. Preferably on the east coast. \n\nDo you consider part-time work?\n\nNot at the moment. Full-time roles only.\n\nHow are you funded?\n\nWe are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.\n\nDo you already have a product?\n\nYes. We have been in production since 1st April 2021 and have been rapidly growing since.\n\nDo you plan to sell customer data?\n\nNtropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.\n\nWhat is the interview process like?\n\n1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).\n\n2. We will give you a take-home project in which you will use our API to build a simple personal finance app. Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.\n\n3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.\n\nAbove all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.\n\nWhat are your hiring plans?\n\nWe aim to be 22-25 people in the next 6 months. Mostly engineering roles.\n\nWhat is your current stack?\n\nback-end - Python + Rust (where performance matters)\ncompute - AWS + Azure\nML - PyTorch + ONNX\ninfra - Redis (cache), RDS + S3 (storage), EKS + Lambda (auto-scaling), EC2 4xGPU nodes (training)\n\nWork / life balance?\n\nWe are a startup which requires you to put in a lot more work and soul than a regular job. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.\n\nWhat is the compensation?\n\n$110k • 0.03% - 0.05%\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Sales, Engineer, Video, Finance, Python and API 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\nRemote

Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.\n\nOne of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our first product is an API that makes financial transactions accessible with minimal engineering overhead to both humans and machine-learning models in a scalable and privacy-preserving way.\n\nWe\n - are allergic to over-engineering.\n - are anarchists at heart and like to hack around the status quo.\n - are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results. \n - are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.\n - have a sense of humor (well, we think we do).\n\nAs an early member of our ML engineering team, you will help\n - push the limits of cutting-edge computing and machine learning\n - build the team and drive the direction of the company.\n - shape our product and culture.\n - experience the direct impact of what you build on hundreds of millions of people’s financial lives.\n\nThe following is a big plus\n - fluency in Python, Rust and PyTorch\n - experience with training and deploying models in multi-GPU environments\n - recognized open-source contributions\n - participation in competitive programming events (CTFs, IOI, IMO, Topcoder, Kaggle, etc.)\n\n\nFAQ\n\n\nWhat if I recommend someone who ends up getting hired?\n\nWe will give you 20k USD for the referral.\n\nWhere is Ntropy located?\n\nWe are fully remote, with a virtual base in New York, US.\n\nWhat time-zones do you work with?\n\nWe hire anywhere in GMT-7 to GMT+1.\n\nDo you consider part-time work?\n\nNot at the moment. Full-time roles only.\n\nHow are you funded?\n\nWe are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.\n\nDo you already have a product?\n\nYes. In production since 1st April 2021.\n\nDo you plan to sell customer data?\n\nNtropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.\n\nWhat is the interview process like?\n\n1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).\n\n2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.\n\n3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.\n\nAbove all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.\n\nWhat are your hiring plans?\n\nWe aim to be 22-25 people in the next 6 months. Mostly engineering roles.\n\nWhat is your current stack?\n\nback-end - Python + Rust (where performance matters)\ncompute - AWS + Azure\nML - PyTorch + ONNX\n\nWork / life balance?\n\nWe are a startup which requires you to put in a lot more work and soul than a regular job. It will require long hours and sacrificing your free time. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.\n\nWhat is the compensation?\n\n$130k • 0.2% - 0.5%\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Video, Python and API 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\nRemote

High-quality labeled data is essential for machine-learning models in the real world. One of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our API enables the next generation of financial services, from real-time underwriting to personal finance management and beyond.\n\nWe are looking for a head of data labeling to scale Ntropy's data pipeline and help our models reach super-human performance. You will work closely with both external and internal data labellers, as well as our ML engineering team.\n\nThe ideal person has previously worked with machine-learning and data pipelines, has regularly interacted with commercial customers and partners, has an extreme attention to detail and can concisely communicate complex concepts.\n\nA more detailed work description is available here: https://docs.google.com/document/d/1Y0QbnvYPV82C_JeLM1Z3DcWtzzz5P6t-bNmtzpGZsUs/edit\n\nWe\n - are allergic to over-engineering.\n - are anarchists at heart and like to hack around the status quo.\n - are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results.\n - are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.\n - have a sense of humor (well, we think we do).\n\nThe following is a big plus \n - passion for machine-learning models in a real-world environments\n - past experience with the fintech industry and natural-language data\n - excellent proficiency in English and other languages (Spanish, Portuguese, French, etc.)\n\n\nFAQ\n\n\nWhat if I recommend someone who ends up getting hired?\n\nWe will give you 20k USD for the referral.\n\nWhere is Ntropy located?\n\nWe are fully remote, with a virtual base in New York, US.\n\nWhat time-zones do you work with?\n\nWe hire anywhere in the time zones GMT-7 to GMT+1.\n\nDo you consider part-time work?\n\nNot at the moment. Full-time roles only.\n\nHow are you funded?\n\nWe are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.\n\nDo you already have a product?\n\nCurrently in beta with 20+ customers.\n\nDo you plan to sell customer data?\n\nNtropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.\n\nWhat is the interview process like?\n\nSend us problems you have solved before and how. Please send as much details as possible, including code and algorithms if relevant.\n\nWe will then do a video call to kick things off.\n\nAbove all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.\n\nWhat are your hiring plans?\n\nWe aim to be 22-25 people in the next 6 months. Mostly engineering roles.\n\nWork / life balance?\n\nWe are a startup which requires you to put in a lot more work and soul than a regular job. It will require long hours and sacrificing your free time. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.\n\nWhat is the compensation?\n\n$90k - $110k • 0.05% - 0.2%\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Marketing, Sales, Non Tech, English, Video, Finance and API 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
\n\n#Location\nRemote

Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.\n\nOne of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our first product is an API that makes financial transactions accessible with minimal engineering overhead to both humans and machine-learning models in a scalable and privacy-preserving way.\n\nWe\n - are allergic to over-engineering.\n - are anarchists at heart and like to hack around the status quo.\n - are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results. \n - are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.\n - have a sense of humor (well, we think we do).\n\nAs an early member of our data science team, you will help\n - push the limits of what can be done with data.\n - build the team and drive the direction of the company.\n - shape our product and culture.\n - experience the direct impact of what you build on hundreds of millions of people’s financial lives.\n\nThe following are required\n - the tools: Python, Pandas, Matplotlib, scikit-learn, etc.\n - Spark, SQL and fundamental database operations.\n - recognized open-source contributions and/or top performance in data competitions (Kaggle, Numerai, etc.).\n - fluency in statistics and probability.\n\n\nFAQ\n\n\nWhat if I recommend someone who ends up getting hired?\n\nWe will give you 20k USD for the referral.\n\nWhere is Ntropy located?\n\nWe are fully remote, with a virtual base in San Francisco, CA.\n\nWhat time-zones do you work with?\n\nWe hire anywhere in the time zones GMT-7 to GMT+1.\n\nDo you consider part-time work?\n\nNot at the moment. Full-time roles only.\n\nHow are you funded?\n\nWe are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.\n\nDo you already have a product?\n\nCurrently in beta with 20+ customers.\n\nDo you plan to sell customer data?\n\nNtropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.\n\nWhat is the interview process like?\n\n1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).\n\n2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.\n\n3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.\n\nAbove all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.\n\nWhat are your hiring plans?\n\nWe aim to be 22-25 people in the next 6 months. Mostly engineering roles.\n\nWhat is your current stack?\n\nback-end - Python + Rust (where performance matters)\ncompute - AWS + Azure\nML - PyTorch + ONNX\n\nWork / life balance?\n\nWe are a startup which requires you to put in a lot more work and soul than a regular job. It will require long hours and sacrificing your free time. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.\n\nWhat is the compensation?\n\n$130k • 0.2% - 0.5%\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to InfoSec, Data Science, Engineer, Video, Python and API jobs that are similar:\n\n $80,000 — $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\nRemote

We are looking for a security-minded individual, with a risk-minded approach to security who would be in charge of security and compliance.\n\nWe\n\n- are allergic to over-engineering.\n- are anarchists at heart and like to hack around the status quo.\n- are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results. \nare willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.\n- have a sense of humour (well, we think we do).\n\nRequirements\n\nExperience dealing with security and compliance from a previous role, or relevant education to compensate\nWillingness to go the extra mile\nA strong understanding of CIA (Confidentiality, Integrity, Availability)\n\nExtras that are a plus\n\nCompeting in CTFs\nA specific field of interest you have great competence in\nAn interest in software development\n\nThings you should enjoy doing\n\nSharing knowledge about security, it’s importance and how to prevent breaches.\nCreating an ISMS\nCompleting risk and customer security assessments\nOwning the security process\n\nRoles & Responsibilities\n\nEnsure standards and frameworks are followed (SOC2, etc)\nRespond to customer inquiries of our security posture\nWork closely with the development team to give a security perspective during the planning and threat modelling phases.\nFollowing up on security incidents.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to InfoSec, Engineer and Education jobs that are similar:\n\n $80,000 — $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\nRemote

We are looking for a product leader to scale Ntropy's API by growing our foundational data enrichment product. You will work closely with our CTO and engineering team on our Transaction Enrichment product, that enables the next generation of financial services, from real-time underwriting to personal finance management and beyond. \n\nThe ideal person has previously led technical products or large-scale platforms, has regularly interacted with commercial customers and partners, has an extreme attention to detail and concisely communicates complex concepts between engineering, design, legal and customer-facing teams.\n\nOver the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.\n\nOne of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our first product is an API that makes financial transactions accessible with minimal engineering overhead to both humans and machine-learning models in a scalable and privacy-preserving way.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Finance, API, Legal and Non Tech 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\nRemote

Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.\n\nOne of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our first product is an API that makes financial transactions accessible with minimal engineering overhead to both humans and machine-learning models in a scalable and privacy-preserving way.\n\nWe\n - are allergic to over-engineering.\n - are anarchists at heart and like to hack around the status quo.\n - are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results. \n - are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.\n - have a sense of humor (well, we think we do).\n\nAs an early member of our team, you will help\n - push the limits of cutting-edge computing and machine learning\n - build the team and drive the direction of the company.\n - shape our product and culture.\n - experience the direct impact of what you build on hundreds of millions of people’s financial lives.\n\nThe following is a big plus\n - fluency in Python and Rust\n - experience with multi-GPU environments\n - recognized open-source contributions\n - participation in competitive programming events (CTFs, IOI, IMO, Topcoder, Kaggle, etc.)\n - experience with infrastructure-as-code, cloud deployments, Kubernetes, containers\n\n\n\nFAQ\n\n\nWhat will be my role?\n\nWe are mostly looking for ML and backend engineers at the moment. However, if you are excited by the vision and believe you will be a good fit, we would love to talk!\n\nWhat if I recommend someone who ends up getting hired?\n\nWe will give you 20k USD for the referral.\n\nWhere is Ntropy located?\n\nWe are fully remote, with a virtual base in San Francisco, CA.\n\nWhat time-zones do you work with?\n\nWe hire anywhere in the time zones GMT-7 to GMT+1.\n\nDo you consider part-time work?\n\nNot at the moment. Full-time roles only.\n\nHow are you funded?\n\nWe are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.\n\nDo you already have a product?\n\nCurrently in beta with 20+ customers.\n\nDo you plan to sell customer data?\n\nNtropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.\n\nWhat is the interview process like?\n\n1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).\n\n2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.\n\n3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.\n\nAbove all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.\n\nWhat are your hiring plans?\n\nWe aim to be 15-18 people in the next 6 months. Mostly engineering roles.\n\nWhat is your current stack?\n\nback-end - Python + Rust (where performance matters)\ncompute - AWS + Azure\nML - PyTorch + ONNX\ninfra - Redis (cache), RDS + S3 (storage), EKS + Lambda (auto-scaling), EC2 4xGPU nodes (training)\n\nWork / life balance?\n\nAt the current stage of the company, our probability of success is directly correlated to effort. The number of hours you put in can make a big difference. However, if we cannot rely on your presence at all times, we must surely be able to rely on your outcomes, no matter how much time it takes. Mental and physical well-being are above anything else.\n\nWhat is the compensation?\n\n$130k - $180k • 0.3% - 1.0%\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 DevOps, Quality Assurance, Admin, Senior, Engineer, Sys Admin, Backend, Executive, Video, Cloud, Python and API 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