Find AI Work That Works for You

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present.About the RoleYou will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present.About the RoleYou will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the Role:This role is situated within our Applied AI consultancy, which serves clients across UK Defence, Government, Life Sciences, Energy, Banking and Retail. As a Machine Learning Engineer, you will work in the business area where the need is greatest and this may change from time-to-time, depending on our external client requirements. We are a rapidly growing business and require all our employees to be versatile across sectors and confident to be client-facing within those.Because of the potential to work with our UK Defence clients, you will need to be eligible for SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London baseWhat You'll Be Doing:You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems across multiple sectors - examples of which can be found here.You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineerings are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking For:You can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly. We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GPS or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWhat we can offer you:The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet. You’ll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role at a GlanceOne Year. Two Teams. Unlimited Growth. Become a future technical leader at Gecko by starting with the most immersive, intentional program we’ve ever offered.The Software Development Rotational Program is a highly selective opportunity designed specifically for mission-oriented new graduates who want to have real world impact through engineering. This is more than just a first job, it’s a launchpad for future leaders across engineering disciplines at Gecko Robotics.Over the course of 12 months, you’ll rotate across two teams within Gecko’s high-impact Software Platform, Forward Deployed Engineering, and/or Hardware Platform organizations. You’ll gain firsthand exposure to our mission-critical systems and customer-facing products, build a broad technical foundation, and integrate deeply into our company’s culture and values.By the end of your rotations, you’ll transition into a full-time placement on a team where your strengths, interests, and our strategic goals align.This is a rare, high caliber opportunity. You’ll be part of a small group of passionate engineers building the future of Gecko Robotics. At the end of your rotational period, you’ll use the clarity, experience, and mentorship you’ve gained to have a tangible impact on our company, and the broader world.Apply now to start your journey with us in July 2026.What You Will DoThis is a full time role at Gecko Robotics, starting with a 12 month period of rotating between different engineering teams before being matched to a full time team placement and position.DurationAnticipated Start Date: July 202612-month rotational program, with 2 rotations lasting 6 months eachFrom your first day you will be considered a full time employee at Gecko, and the rotational program concludes on your first anniversary RotationsYour first 6 months at Gecko will start with one rotation within our Software Platform Team.Your next rotation will be within our Forward Deployed Engineering team, the Software Platform team, or the Hardware Platform team, depending on business needs and your unique interests! Cohort Size You will be part of a cohort of 8 recent graduates, distributed between our NYC and Boston offices Final PlacementAfter completing your two rotations, you will rank your preference of team assignments for your long term placement.Your final assignment is guided by business needs, your performance over your first year, and your preference/interests.We will also do a comprehensive check-in 6 months into your long-term placement to assess fit and growth trajectory.What You’ll ReceiveOne-on-one mentorship with Geckos across the companyQuarterly check in’s surrounding your developmentExposure to multiple teams within a rapidly growing startup environmentHigh ownership over projects and the ability to make a significant impactA $2,000 yearly professional development stipend to use at your discretion to further learningLocation and TravelParticipants will be based in Boston or New York CityExpect to travel about 25% of the time during your first year to colocate with different teams, work with customers onsite, and be exposed to different areas of our businessTechnologies We UseWe use a variety of technologies, but our software teams primarily operate using Python, React, and Typescript with Google Cloud Platform (GCP) as our cloud provider. This is a non-exhaustive list and we are tech agnostic in our interview process, so we encourage you to apply regardless of your background.About YouWorking towards B.S., M.S, or M.S.E. in Computer Science, Software Engineering, Computer Engineering, Mechanical Engineering, Electrical Engineering or related technical fieldHave an anticipated graduation date from December 2025 - June 2026Completed at least one 10-12 week technical internship or co-op (startup companies preferred)Experience writing clean, maintainable code for a production environmentUnderstanding of software design patterns, algorithms, and data-intensive application designDesire to have a high impact at a fast-moving startup as a key contributor on new projects and fast-growing teamsEager to work at a mission-driven, fast paced, and collaborative organizationPosses a strong passion for learning and growth and are open to new ideas, new technologies,, and continuous feedbackAre eager to learn, travel, and grow through hands-on experiencesOffer Deadlines and Interview ProcessWe build as much transparency into our recruiting process as possible, so we want to share our expectations around interviews and offer timelines in advance.We typically do four rounds of interviews, including a brief preliminary online coding interview. Most folks complete our interview process in ~4-5 weeks, depending on scheduling.At Gecko, we value in-person work and collaboration, so expect to come spend time at one of our physical office locations at least once during your interview and/or offer process.Who We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.  We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

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💥 Your impactOnyx is a popular open source project with hundreds of thousands of users. The project has over 13K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this). You’ll have the opportunity to build in the open and your work may be used by millions of people in the future.💡 About the roleAs an early hire, you'll play a pivotal role in shaping the core product. Help us become the biggest “GenAI for work” application in the world!You’ll be:Doing everything frontend for the default open-source chat interface, enterprise search platform, and agent builder. Some specific features:Beautiful core search and chat experience (animations, speed, etc.). Think building the UI/UX layer for Perplexity AND ChatGPT in one.Huge feature set: workspace search, internet search, code interpreter, artifacts, deep research, and so much moreCollaborating closely with the design team + foundersSetting frontend priorities and best practicesBuilding an exceptional design / frontend engineering cultureFostering an open-source community; guiding contributors on adding to the frontendThis is an in-person role based in San Francisco, CA.🚀 You’ll be successful if you have…4+ years of frontend engineering experience building complex, user-facing applicationsHave an incredible bar for yourself and for others. You want your work to be exceptional, and accept nothing less.In-depth experience with JavaScript, TypeScript, React, NextJS and other modern frontend technologiesExcellent communication skills and ability to collaborate with cross-functional teamsStrong product/design intuition.⭐ Bonus pointsFamiliar with Python, PostgresDegree in Computer Science or related technical fieldPrevious founder or early engineer at seed/series-A startup🤝 Why you should join usYou like working with brilliant (yet humble), thoughtful, and collaborative peopleGreat benefits including fully covered health/dental/vision and transportation reimbursementFree meals — We have our Mix’t loyalists and a rebel faction of unhealthy eatersStocked kitchen with drinks, snacks, matcha and an espresso machineMonthly company outings (bike rides to Mt. Tamalpais, escape rooms, etc.)We enjoy friendly competition — we built an internal ELO system to find the best ping pong players on the teamExceptional compensation packages for exceptional people

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.At Tenstorrent, you’ll lead the end-to-end development of advanced AI data center and workstation platforms, shaping everything from system architecture and thermal design to reliability and lifecycle management. This role gives you the opportunity to work with cutting-edge RISC-V CPUs, collaborate across world-class hardware and software teams, and bring next-generation AI systems to life for real-world applications. This role is remote, based out of Toronto, Canada, Santa Clara, California or Austin, Texas. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Experienced systems development leader with 15+ years driving products from concept to mass production. Deep expertise in system architecture (CPU, GPU, memory, storage, interconnects) and high-performance computing. Skilled in leading cross-functional engineering teams and managing suppliers/vendors effectively. Strong communicator with the ability to influence stakeholders, inspire teams, and travel internationally (~15%).   What We Need A leader to own the end-to-end product lifecycle, from system definition through production, ensuring quality and performance. Define rigorous system-level requirements across hardware domains (CPU, memory, power, thermal, storage, cabling). Lead cross-functional collaboration across hardware, software, and reliability teams for seamless integration. Mentor engineers, set high standards for quality, and ensure compliance with certifications and manufacturing needs.   What You Will Learn The opportunity to work on cutting-edge AI platforms powered by custom RISC-V CPUs and advanced system designs. Solve complex thermal, mechanical, and reliability challenges for next-generation AI systems. Gain experience integrating solutions across hardware, compilers, software models, and platforms. Build strong partnerships with suppliers and technologists driving the future of AI infrastructure.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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Social Media Specialist (AI/ML Focus) 6 month contract  10–20 hrs/week  Remote (SF or Pacific Time Zone) Together AI is a frontier AI cloud, built bottoms up to meet the demand for the new generation of AI applications and agents. The company has seen tremendous growth with 20X customer growth and 6X ARR growth over the last year. As we continue to drive product innovation, we are also investing deeply in our GTM. This new contract role will lead our social media efforts across LinkedIn and X, shaping how we engage technical audiences and grow our community. The contractor will own the social calendar, translate complex AI/ML updates into crisp and engaging content, and build the systems to measure and optimize impact. Reporting into the marketing team, this person will have the opportunity to independently build and scale Together AI’s social presence at the forefront of the AI industry. What You’ll Do Own the social calendar: Partner with Product Marketing to turn AI/ML product updates, research, and news into crisp, technical, and engaging posts (LinkedIn/X). Repurpose long-form content: Adapt blogs, webinars, and whitepapers into threads, carousels, and clips. Collaborate cross-functionally: Partner with PMM, DevRel, and Design to align voice (technical, precise, on-brand) and amplify reach (e.g., Together AI Discord). Build a strategy to drive growth and engagement of Together AI social handles on X and LinkedIn. Develop and implement a posting cadence for each social handle, including 1–2 short video clips per week. Analytics & ROI: Establish a data-driven feedback loop—weekly insights and monthly deep-dives—to measure attribution, community growth, and content performance with tools like Sprout Social. Must-Haves 2–3+ yrs B2B social media, with proven impact for technical audiences (AI/ML preferred). Strong technical writing (balance clarity with depth). Hands-on with LinkedIn/X, Figma, and social tools (e.g., Sprout Social). Comfortable working async with PT overlap. Nice-to-Haves Experience with light video editing (e.g. generating clips from long-form video) Portfolio preferred: Share 3 posts you created + metrics (views/ER/clicks). Experiment & optimize: Propose weekly tests (format, hooks, timing) and leverage analytics to iterate. Dev community experience (Discord/GitHub moderation, crisis comms). Familiarity with AI/ML conferences, publications, and industry trends. Ideal Candidate You’re data-driven but creative, with a POV on how to engage technical audiences. You thrive in fast-paced, cross-functional environments and geek out over analytics as much as content. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation $48-55 per hour Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy    

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https://docufi.ai/Docufi.ai is a cutting-edge technology company that focuses on verticalizing AI for investment banking and other players in the financial markets. Our goal is to automate the most common finance deliverables for the capital markets. By leveraging AI, we enable firms to build deliverables 10x quicker, empowering them to close deals faster and take on more clients. We are a Techstars 2024 company and have a product in the hands of customers today and are generating meaningful revenue. Who we're looking for We need an experienced engineer (5+ years) who's done real work at startups before. Taking products from 0 to 1 then to scale, making thoughtful tradeoffs, and shipping what matters most to our clients and the markets. We value Speed with purpose - ship fast but smart Clear communication - work as a team Ownership mentality - you see it, you solve it The work You'll build full stack systems (we care a lot about the Backend) and AI features that investment bankers and other financial professionals rely on daily. This means: Architecting secure, scalable services (Python/TS/Bun/Postgres/Azure/Anthropic/OpenAI) Working with sensitive financial data responsibly Making quick decisions with imperfect information Building features that directly impact customers today, not someday How we work Small, autonomous team with daily engineering sync Your code ships to production Remote-first with flexible hours (maintaining some EST overlap) Focus on impact, not hours logged Direct collaboration with customers to build what they actually need What we offer Competitive compensation and real equity stake (0.3% to 3%) Work that matters to real customers with high potential Freedom to do your best work without bureaucracy An environment where you can focus on delivering Colleagues who care about craft and quality as a team The Selection Process Silver Recruiter Screen Silver Live Coding Session Client Screening Interview (30 minutes) Client Technical challenge-discussion (60-90 min) - we'll talk through problems and solutions together. Chat with CEO We're looking for someone who wants to build something meaningful at a sustainable pace. If that resonates, we'd love to hear from you.

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n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 140 talented people 🚀 Our annual recurring revenue is growing over 9x year-over-year ⭐️ With +130k GitHub stars, we are in the top 50 most popular projects of all time on Github 🍾 We were the 25th fastest growing startup last year and 4th BtoB SaaS Rising 100 this year in Europe according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)As a Senior AI Engineer, you'll drive intelligent features that redefine how users build automations. You'll build AI-powered capabilities, from natural language input to smart suggestions, that make creating workflows faster and more intuitive.You'll collaborate across engineering, product, and design to bring generative AI and LLM-based enhancements into the core user experience. You'll improve existing AI integrations, develop new ones, and shape how AI powers our product. You’ll work across the entire AI feature lifecycle:Architect and implement AI-powered capabilities: code generation, intelligent node creation, and workflow optimizationIntegrate LLM APIs and embedding models for text-to-workflow and natural language code suggestionsDesign and iterate on prompts to improve model output and user experienceBuild internal tooling, evaluation benchmarks, and automated testing for AI componentsCollaborate closely with other engineers to ensure AI features are reliable, performant, and scalableBalance experimentation with impact: ship quickly while focusing on user valueStay current with advances in LLMs, prompt frameworks, and developer tools - and bring those insights into our roadmapRequirements5+ years of experience building web-based products, ideally in B2B SaaS startupsStrong fullstack development skills with TypeScript, Node.js, and API designProven track record shipping AI-powered features in production with LLM APIs (OpenAI, Anthropic, etc.) and understanding of how to translate machine intelligence into user value. We're looking for experience building end-to-end systems.Deep understanding of AI fundamentals: agent architectures, chat completion roles, embedding vectors, vector databases, and chunking strategiesHands-on experience with prompt engineering, embedding models, and vector storesA user-focused mindset: you care about delivering features that solve real problemsA bias for shipping and learning - fast iteration is second nature to youBonus Points ForExperience fine-tuning LLMs or working with retrieval-augmented generation (RAG) systemsFrontend experience using Vue or ReactTechnical writing or documentation contributions, especially around developer tools or AIExperience with agent orchestration patterns and state management in multi-step AI systemsKnowledge of code quality evaluation metrics and context optimization techniquesn8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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About BreeBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.More than half a million Canadians have already signed up with Bree, and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.We have $5M ARR per full-time engineer, growing at a double-digit monthly rate, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.About the RoleBree is on a mission to build the best AI native engineering team. Ideal candidates have a deep understanding of the modern data stack and use AI tools for efficient, reliable delivery. Read more about AI native engineering teams here.You’ll be at the intersection of product, engineering, and growth, shaping how we make decisions, measure performance, and scale data infrastructure to support millions of Canadians.What you’ll doOwn the experimentation strategy by designing A/B and sequential tests, setting guardrails such as power analysis, SRM checks, and CUPED, and introducing bandits when appropriate.Build and ship personalization, ranking, and forecasting models—recommenders, propensity, churn and LTV that measurably improve activation, conversion, and retention.Translate deep-dive analyses into product changes by defining success metrics and counterfactuals and partnering with Product and Engineering to deliver impact.Architect a modern data platform by shaping the warehouse and feature store with robust schemas, data contracts, SLAs, and governance for both operational and analytical use cases.Support the ML lifecycle from problem framing and data acquisition to feature pipelines, training, evaluation, deployment, monitoring, and retraining.What you’ll needExpert SQL and Python with clean, modular, well-tested code and fluency across the PyData and ML stack (pandas, NumPy, scikit-learn, XGBoost or LightGBM, and deep learning as needed).Depth in experimentation and causal inference covering A/B design and analysis, sequential testing, CUPED, difference-in-differences, and uplift modelling with sound identification judgment.Strong product sense to turn ambiguity into measurable objectives, define North Star and guardrail metrics, and communicate trade-offs to executives and cross-functional partners.Proficiency in data visualization and BI tools such as Metabase and Streamlit, with storytelling that drives decisions rather than merely producing dashboards.Modern data platform and engineering rigour, including dbt and BigQuery, Snowflake, or Spark; familiarity with feature stores and real-time inference; and disciplined practices in version control, reviews, typing and tests, and secure cloud deployments.BenefitsTop of the market compensation for top performers$1,500 annual learning stipend$1,000 annual wellness stipend$250 monthly lunch stipendComprehensive insurance coverage2 annual company retreatsParental leaveUnlimited PTO

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials.  Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. Where You Fit  We are seeking experienced Machine Learning Engineers to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. The Machine Learning Engineer will work closely with teams across biomedical data science, product development, translational research, MLOps and platform engineering to develop and deploy the machine learning models for our AI products and services. What You’ll Do Independently executes the machine learning model development for research and product development projects with ML best practices Understands product requirements in their biological and clinical context and proposes changes to model design, product requirements, or analysis plan to ensure market fit Demonstrates mastery of established and state-of-the-art ML methods and upholds ML Team’s best practices for ML research and product development Engaged within team governance of standards via supporting initiatives (e.g. Guild of TLs, ML  Stewards, WiML, Journal Club, Maintaining and creation of documentation) Proactively identifies technical limitations of the current platform and proposes solutions towards solving core problems in digital pathology. Actively participate in and propose improvements to team processes and supporting initiatives, including but not limited to: project processes, technical design reviews, knowledge sharing, hiring and onboarding.  Actively contribute to scientific strategy with  abstract submissions to conferences, manuscript preparation, and creation of marketing and other materials for external audiences You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals.   Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes. What You Bring To be successful in this role with us, you'll at least need: Master’s degree plus 3-4 years of professional experience or Ph.D in Computer Science or related field, preferably with a focus on artificial intelligence and machine learning 3-4 years of experience in developing and deploying state-of-the art machine learning and computer vision models in products/platforms Excellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills. Strong analytical and quantitative skills Familiarity with overall machine learning and computer vision model development lifecycle including data pipelines, model training, evaluation and deployment. Publications or research in fields related to artificial intelligence and biomedical science is preferred Intellectual curiosity and the ability to learn quickly in a complex space We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

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De parte de GabrielEste proceso incluye relocation a San Francisco.Domu presenta una oportunidad para adelantar tu carrera varios pasos.En un mapa de carrera puede tomarte más de 5 años tener los logros, la experiencia y el perfil para conseguir una oferta para trabajar en San Francisco. Tener una YC en el cinturón trabajando en San Francisco cambia la pendiente de tu carrera para siempre. Domu tiene una cultura de trabajo intensa, enfocada en perfiles enérgicos - tiene más ventas y crecimiento que lo que puede manejar el equipo de ingeniería actual, y por eso se trabaja muy intensamente. Este proceso lo manejo yo personalmente. Te voy a dar apoyo end-to-end para inmigración, preparación de entrevistas y counseling. Y vos vas a tener que poner todo lo que tenés para tener una chance.Los perfiles que voy a buscar tienen al menos 3 años de experiencia laboral en una startup y necesitan estar completamente comprometidos a prepararse para esta life-changing opportunity.About Domu Technology Inc.Why you should consider joiningDomu.ai is one of the very first voice-AI startups powering collections and servicing for the world’s biggest financial institutions. Only a handful of companies have entered this space, and we’re already handling thousands of live calls every day for Fortune 500 banks and insurers. Our ARR has tripled, and we’re on track to become the gold standard in financial-services voice AI.We move fast, ship daily, and refuse to stop until our product outperforms expectations. We deeply care about doing great work.CultureHeavy GrindingGo to the office every dayhigh-urgencygreat work0 egoWhat you'll doTake ownership of the entire product and make decisions at the product level instead of merely following orders.Talk with customers.Do what others don’t want to do. You may need to get into areas like telephony.Encourage the team to improve continuously.Make architectural decisions.Help shape the engineering culture.Ensure our DX is exceptional and makes it easy to ship day 1.Spend a significant portion of your time coding, likely over 80%.You're a fit ifYou were the first hire at another company.You were part of a startup post-Series A from the beginning of the company.You're comfortable building full-stack features.You care about product, not just code.You've owned something meaningful end-to-end in the past (a product module, an infra refactor, etc).You're resourceful and comfortable with ambiguity. You figure things out.Why join usYou'll be part of a strong engineering-first culture. It's still early to join the team.Post-revenue, working with Fortune 500 companies alongside a small engineering team of 4 full-time engineers.Full ownership and trust, with zero bureaucracy and ego.You want to work with enterprises and learn how to close enterprise deals from an engineering perspective.You want to join a team that considers itself A players and strives to improve every day, nonstop.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What you'll be doing:As a Data Scientist in our Defence business unit you will be part of project teams that deliver bespoke algorithms to our clients across the Defence sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Proven experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.We're looking for a Partner Engineer to serve as the technical bridge between our platform and our strategic partners. This role combines technical expertise with relationship management skills to help us quickly plan, test, and facilitate key strategic partnerships.Key ResponsibilitiesTechnical Integration & SupportLead technical onboarding and integration processes for new strategic partnersDesign and implement custom demos and applications on Replit for partner demos and eventsTroubleshoot technical issues across partner integrationsProvide technical guidance and best practices to partner development teamsPartner EnablementConduct technical workshops and training sessions for partner teamsDevelop technical demos and proof-of-concepts for prospective partnersHost hackathons for initiatives across the partnership functionServe as escalation point for complex technical partner issuesProduct & Platform DevelopmentCollaborate with engineering teams to build partner-focused features and toolsDesign and develop partner-specific tooling, dashboards, and monitoring systemsBuild internal tools to streamline partner management and technical operationsCross-functional CollaborationWork closely with Partnership, Sales, and Marketing teams on technical aspects of dealsTranslate business requirements into technical solutions and vice versaProvide technical input on partnership strategy and go-to-market plansSupport sales engineering efforts for strategic partnership opportunitiesRequired Qualifications4+ years of software engineering, dev relations, sales engineering, or partner engineering experienceComfortable speaking in large group settings and hosting hackathonsStrong proficiency in Python and JavaScriptKnowledge of Vibe Coding tools and traditional developer toolsExperience with common integrations and APIsPreferred QualificationsKnowledge of authentication protocols (OAuth, SAML, JWT)Background in SaaS platforms or B2B integrationsExtensive portfolio or experience building applications with ReplitDeep experience with REST APIs, GraphQL, webhooks, and modern integration patternsTechnical SkillsLanguages: Python, JavaScript/TypeScript, Go, or similarAPIs & Integration: REST, GraphQL, webhooks, message queuesDatabases: SQL and NoSQL databases, data modelingCloud & Infrastructure: AWS/GCP/Azure, Docker, KubernetesTools: Git, CI/CD pipelines, monitoring and logging toolsSecurity: Authentication, encryption, secure API designThis role is a good fit if you have…An entrepreneurial mindset with ability to operate in ambiguous, fast-moving environmentsGenuine passion for supporting founders and the startup communityA data-driven approach to partnership development and optimizationA love for sharing Replit and AI toolsInterest in travel and working across global regionsThis role is not a good fit if…You’re looking for a very structured, defined roleYou have never Vibe Coded or built on ReplitYou’re not comfortable hosting large hackathons or eventsFull-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

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At Magical, we empower organizations to automate the complex, manual workflows that are essential to their operations. We’re building a brand new product, and this is your chance to join as a founding engineer. In just a few months, we’ve already hit product-market fit and closed six-figure deals with a clear path to much bigger contracts. We’re not starting from scratch either: our existing product has generated millions in revenue. Now, we’re evolving that user base toward our agentic future while consistently bringing in new customers.You’ll work in a small, nimble team tackling challenging, ambiguous problems at the cutting edge of technology and learn something new every day. We believe the effort and raw hours you put in directly shapes the outcome. Speed matters, and we move with focus and intent.Projects you might work onProcess Mapping & DiscoveryInterview internal stakeholders (sales, marketing, support, operations) to deeply understand workflows.Translate business processes into step-by-step logic that can be automated.Agent BuildingUse our internal platform to prompt, code, and configure AI workflows.Iterate rapidly on prompts, logic, and integrations to achieve accurate, production-ready agents.Testing & DebuggingRun test cases, identify failure points, and debug agent behavior.Optimize workflows for speed, accuracy, and reliability.Rapid ExperimentationDeliver MVPs within hours or days, not weeks.Balance “done fast” with “done well,” iterating in real time based on feedback.Continuous CuriosityAsk the right questions to uncover hidden bottlenecks.Propose additional workflows or automations that stakeholders didn’t realize were possible.About youEducation: BS in Computer Science (or near completion, recent grad).Technical Skills:Proficient in at least one scripting language (Python, JavaScript preferred).Comfortable with APIs, data structures, and writing clean, efficient code.Strong ability to translate ambiguous business processes into logical workflows.Mindset:Exceptionally fast learner who thrives in ambiguity.Gets shit done: bias to execution, speed, and iteration.Inquisitive and resourceful; digs deeper when something doesn’t make sense.Thrives in a startup environment with high expectations and rapid feedback cycles.Nice-to-HaveExperience with automation tools (Zapier, n8n, Airflow, LangChain, etc.).Prior internship or project experience building agents, chatbots, or workflow automation.Knowledge of LLM prompting techniques. What we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary An opportunity to convert to FTE.Tech stackTypeScriptBackend: Node, AI SDK, Hono, Drizzle, Postgres (neon), and RailwayFrontend: Next.js, Shadcn, Tanstack, Tailwind, Zustand, and Vite

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Worth AI, a leader in the computer software industry, is looking for a talented and experienced Product Manager to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.We’re seeking a Platform Product Manager who is passionate about building the dataand machine learning foundations that enable transformative digital experiences. Inthis role, you’ll own the strategy, roadmap, and execution of our data and ML platform—focusing on the core infrastructure, tooling, and services that power analytics, intelligent features, and product personalization at scale. The ideal candidate thrives at the intersection of product, data, and engineering. You are both technically fluent and deeply user-focused, with a strong ability to define scalable, privacy-conscious solutions that align with business strategy. You’ll partner closely with engineering, data science, design, and business stakeholders to deliver reliable, extensible, and high-impact platform capabilities.Responsibilities Define and evolve the vision and roadmap for our internal data and ML platform, ensuring it supports current and future product needs. Collaborate with engineering, data science, and infrastructure teams to build scalable pipelines, APIs, services, and tooling for ML model development, deployment, and monitoring. Gather and synthesize requirements from internal users (product teams, data scientists, analysts, etc.) to inform feature development and prioritization. Drive the operationalization of ML models into production workflows, ensuring robust performance, scalability, and observability. Define and maintain clear success metrics for platform features, including data quality, latency, reliability, and model impact. Manage the product backlog and ensure timely, well-scoped, and technically feasible user stories for engineering teams. Partner with design and engineering to improve internal UX for platform tools, data access, and workflows. Establish and promote best practices around data governance, documentation, and developer experience. Facilitate cross-functional collaboration to ensure effective model integration, A/B testing, and measurement frameworks. Lead platform-level initiatives such as self-serve data tooling, experimentation infrastructure, and data cataloging. Support platform adoption by enabling documentation, training, and onboarding resources. Serve as a key voice for platform product strategy in leadership forums and cross-functional planning sessions. Requirements 3+ years of experience as a product manager, preferably in platform, data infrastructure, or ML tooling Deep understanding of data platforms and modern data stacks (e.g., Snowflake, BigQuery, dbt, Airflow, Spark) Strong grasp of ETL/ELT workflows, ML model lifecycle, and platform architecture Hands-on experience working with data engineers, ML engineers, and data scientists in cross-functional teams Proficiency in SQL and comfort navigating complex datasets to drive product insight Proven ability to translate technical requirements into business value and vice versa Excellent communication skills with experience presenting to technical and non-technical stakeholders Demonstrated track record of delivering platform products or services that enable broader team productivity and innovation Strong prioritization, execution, and decision-making skills in fast-paced, evolving environments Curious, collaborative, and growth-oriented mindset Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. Program overviewAPX is Sierra’s rotational program to develop the next generation of AI builders.In the age of AI, we believe generalists with diverse training and experience will become more important and empowered than ever. Instead of specializing early in an engineering, product management, or business subfield, the next generation of AI leaders will be able to do everything it takes to create, ship, and distribute great products.As an APX, you’ll be among the first to live in this exciting future. You’ll build AI agents directly with top global brands and gain access to comprehensive training opportunities, both as an Agent Engineer and Agent Product Manager. If you’re hungry to shape and learn from the most important technological wave of our lifetimes, come build at Sierra.The APX program is open to students graduating from undergraduate or Master’s programs by June 2026.What you’ll doBuild and ship AI agents for Sierra’s customers in a fast-paced, production environment.Write code and design features that directly impact customer-facing agent performance.Learn how we build agents that operate at scale and evolve through real-world usage.Collaborate closely with engineers, product managers, and operators across the company.Participate in internal reviews and product discussions to push the boundaries of what agents can do.Preferred qualificationsPursuing a bachelor’s or Master’s degree (or comparable program) in Computer Science or a related field.Professional experience in software engineering or product management, especially with customer-facing responsibilities.Expertise in React, TypeScript, Python, Go, and other modern programming languages.Demonstrated curiosity and interest in AI applications (e.g., research, jobs, side projects).Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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At TensorWave, we're leading the charge in AI compute, building a versatile cloud platform that's driving the next generation of AI innovation. We're focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what's possible in the AI landscape.About the Role: We are looking for an AI Infrastructure Engineer with a passion for high-performance computing and distributed systems. The ideal candidate will support our vision by developing and managing the compute infrastructure that underpins our innovative AI cloud services. This role involves building and maintaining robust AI clusters, ensuring optimal performance and reliability for our clients' most demanding workloads.Responsibilities:Collaborate with a dynamic IT team to design, deploy, and maintain high-performance AI compute clusters supporting both AMD and NVIDIA GPU technologies.Lead initiatives to optimize cluster performance, resource utilization, and job scheduling to maximize efficiency across diverse AI workloads.Ensure system reliability, performance, and security for cloud services, implementing monitoring solutions and automated recovery systems.Work closely with the AI development team to align infrastructure capabilities with the evolving needs of TensorWave's cloud platform.Troubleshoot and resolve complex infrastructure issues across Linux systems, networking, and distributed computing environments, providing expert guidance to maintain high service levels.Implement and maintain configuration management, deployment automation, and infrastructure-as-code practices.Essential Skills & Qualifications:Bachelor's degree in Computer Science, Information Technology, or related field.At least 5 years of relevant experience in infrastructure engineering, with a focus on supporting high-performance computing (HPC) and AI applications.Expert-level Linux system administration skills across multiple distributions.Strong experience with clustered computing environments (GPU, CPU, or hybrid clusters).Solid understanding of networking fundamentals, including TCP/IP, routing protocols, and high-speed interconnects.Experience with container technologies (Docker, Kubernetes), job schedulers (Slurm, PBS), and configuration management tools.Familiarity with AMD and NVIDIA GPU ecosystems, CUDA, ROCm, and their infrastructure requirements.Exceptional debugging and problem-solving abilities with a methodical approach to complex system issues.Demonstrated ability to learn new technologies quickly and adapt to rapidly evolving infrastructure needs.We're looking for resilient, adaptable people to join our team—folks who enjoy collaborating and tackling tough challenges. We're all about offering real opportunities for growth, letting you dive into complex problems and make a meaningful impact through creative solutions. If you're a driven contributor, we encourage you to explore opportunities to make an impact at TensorWave. Join us as we redefine the possibilities of intelligent computing.What We Bring:In addition to a competitive salary, we offer a variety of benefits to support your needs, including:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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Location: Buenos Aires, Argentina (Hybrid)About The Mobile-First CompanyMost tools for small businesses weren’t built for real operators. They were built for employees in offices, not people running a business from their phone.We’re changing that.We build mobile-first business software that feels like a consumer app, runs on AI, and spreads like a creator brand. Our first product, Allô, gives you a second number on your phone, answers missed calls with AI, transcribes everything, and syncs it to your CRM.Over 20,000 businesses use it every day. Next up: expenses, invoicing, and more.We’ve raised +5 million dolars from Lightspeed, EMBLEM, and 30+ top operators. Our team is based in Paris, Buenos Aires, Miami.Drive the evolution of our backend technology, infrastructure, and AI capabilities to ensure high performance, scalability, and seamless integration for our mobile applications.What will you do:Work side by side with our CTO to build the foundations, the present, and the future of our backend, and AI systems.Develop and enhance backend systems for both existing and new applications in conjunction with mobile engineers.Contribute to systems design, infrastructure planning, CI/CD processes, and data workflows.What you'll be working on:Implementing and maintaining scalable and reliable backend systems using languages like Kotlin, Java, Go, Python or similar.Designing and defining backend tools, databases, and the architecture of our apps.Working directly with Cloud services (e.g., AWS, Supabase, Cloudflare).Creating tools, libraries, or components to enhance the efficiency of backend development processes.What we’re looking forBackend Engineering:Proficiency in backend development with expertise in languages like Kotlin, Java, Go, Python or similar.Familiarity with database design, management, and optimization.Track record of building and maintaining scalable and reliable backend systems.Experience with AI is a strong plus, especially in applying models to real-world product use cases and optimizing performance in production environments.Systems Architecture:Expertise in designing scalable and maintainable backend architectures, understanding when to apply different architectural patterns.Capable of monitoring the whole architecture using tools like New Relic or Datadog.Performance and dataYou know how to build scalable and maintainable codeYou care about what to measure and how it impacts business and usersYou track behavior, usage, and performance, and improve based on itHow you thinkYou care about why we build things, not just how.You ask smart questions, challenge ideas when needed, and help shape what’s next.You think in terms of user value and business impact.How you workYou communicate clearly, give feedback with no ego, and help others grow.You move fast, take ownership, and thrive in ambiguity.You're comfortable working in English — and in a small team with big goals.What matters to usYou’ve worked in product companies6+ years of experience designing and building high-performance systems used by millions.You’re proactive, autonomous, and know how to fill the gapsYou can communicate in English, since that's our official language. Most of the team also speaks Spanish and French.What we offerCompetitive salary (in USD or local equivalent)Equity package10-day team retreats abroad every quarter30-day onboarding in Paris (we cover flights and housing)Laptop and work setup of your choicePrivate health insurance (for US or LATAM hires)A tight, ambitious team building something real — fastThe Interview Process:Silver.dev Recruiter ScreeningClient People Interview Client Technical InterviewClient Behavioral Interview