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About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. Architect and develop scalable, production-grade Machine Learning (ML) models and services. Take ownership of end-to-end development from data collection and model training to deployment and monitoring. Work closely with cross-functional teams, including product managers, data engineers, and software engineers, to define ML requirements and implement solutions that meet business objectives. Conduct advanced machine learning research to evaluate new algorithms, frameworks, and tools. Stay ahead of industry trends and bring innovative solutions to the team, contributing to the evolution of AI and ML capabilities within the company. Develop and implement methods for evaluating and optimizing the performance of ML models, ensuring robustness, scalability, and efficiency in real-world applications. Partner with leadership and product teams to influence the product roadmap and integrate AI-driven features into products, ensuring they align with the company’s strategic vision. Work on complex, ambiguous technical challenges and apply your expertise in ML techniques to craft innovative solutions that address both short-term needs and long-term scalability. Create systems to monitor the performance of ML models in production, and lead efforts to troubleshoot and resolve issues as they arise. Provide mentorship to junior and mid-level engineers, offering technical guidance and fostering a culture of knowledge-sharing. Lead code reviews and help establish best practices in ML development and deployment. Telecommuting may be permitted. When not telecommuting, must report to 199 Lafayette St, Ste 3B, New York, NY ___: $169,541 - $192,216 per year. MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Data Science, Software Engineering, Electrical Engineering, or a related field, plus 5 years of professional experienceas aData Scientist, Machine Learning Engineer, or any occupation/position/job title performing software engineering using Python and SQL. In lieu of a Bachelor’s degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Data Science, Software Engineering, Electrical Engineering, or a related field, plus 3 years of professional experience as a Data Scientist, Machine Learning Engineer, or any occupation/position/job title performing software engineering using Python and SQL Must also have experience in the following: 2 years of professional experience utilizing Machine Learning to analyze data; 2 years of professional experience using Machine Learning models, Machine Learning problem framing and best practices, and Natural Language Processing; 2 years of professional experience working with cutting edge AI, including Large Learning Models; 2 years of professional experience conducting ML-driven research to help influence product roadmaps; 2 years of professional experience building personalized recommendation systems utilizing computer vision, natural language processing, or ranking; 2 years of professional experience utilizing machine learning libraries and deep libraries (including scitkit-learn, numpy, pandas, scipy, TensorFlow, SQL, Hive, or Spark) to access and analyze data; 2 years of professional experience innovating and improving upon algorithms and methodologies in search and personalization. Please send your resume to: . Please specify as code RODCWhy Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top-tier investors, sustainable business, real traction 🎯 Mission-first: Work that makes a difference in people’s lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by ). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. As a Staff Machine Learning Engineer, you will be responsible for building and maintaining our Machine Learning (ML) and Artificial Intelligence (AI) infrastructure, and to help our team build, deploy, and monitor ML and AI models and services. Additionally, you will provide hands-on technical leadership and mentorship for a growing team of AI/ML Engineers. The successful candidate will have a strong background in ML, and significant prior experience in delivering end-to-end Software Development projects. This role is expected to collaborate very closely with our AI/ML team as well as with Credit Genie’s Engineering, Data Engineering, and Product teams. * Responsible for building the Engineering foundation for the Data Science and ML/AI team, and for setting the company’s ML/AI Engineering roadmap in collaboration with our leadership team. * Collaborate hands-on with Data Scientists and ML/AI Engineers to deliver production-grade ML/AI systems that support critical areas of our business (e.g., Risk and customer-facing in-app experiences). * Collaborate with leads from Engineering, Data Engineering, and Product to expand the existing technological stack of the company and support ML/AI-specific requirements. * Responsible for setting and maintaining the highest ML Engineering standards in the Data Science and ML/AI team. * Have fun working on hard and highly impactful problems. * 8+ years of Backend Software Development experience and demonstrated prior experience working with ML/AI teams in a technical leadership capacity. * Strong foundation in Software Development and prior experience leading impactful ML software projects. * Strong foundation and demonstrated prior experience with Version Control, Infrastructure as Code, Testing, CI/CD, Monitoring and Observability. * Demonstrated ability to deliver end-to-end production-grade ML solutions (e.g., experience with databases and data warehouses, streaming vs. batch data ingestion, feature engineering and versioning of features, Jupyter Notebooks and similar ML development environments, building and testing prediction services, versioning model artifacts, …). * Significant prior experience with ML-specific technologies such as Feature Stores/Feature Platforms and Model Registries, and demonstrated knowledge of ML-specific architectural patterns and tradeoffs (real-time vs. batch prediction, batch features vs. streaming features). * Proficiency in multiple programming languages beyond Python (e.g., TypeScript, Rust, Go). * Experience with the AWS cloud. * Experience with Snowflake. * Experience with ML/AI tools and frameworks (scikit-learn, PyTorch, Tensorflow, LangGraph/CrewAI/PydanticAI). Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. * 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. * Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness * 401(k) with a 2.5% match and immediate vesting * Meal program for breakfast, lunch, and dinner * Life and accidental insurance * Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

Manager, Data Science - GenAI Digital Assistant Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description: The GenAI Powered Digital Assistant Team in AI Foundations engage in active research in GenAI powered conversational capabilities and build scalable futuristics solutions to enhance our customers digital experience and real time support through digital assistance. You will be the driving force to lead research, innovate and develop applications with emerging AI/ML technologies. Our areas of research include advanced LLM powered digital Assistant, multi-agentic workflow, domain specific conversational large language model tuning and inference optimization. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how developers write software. * Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions. * Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows. * Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features. * Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable and resilient production systems. * Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance. The Ideal Candidate is: * Innovative. You are deeply engaged in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply state-of-the-art methods to real-world problems.. * Creative. You excel at defining and solving complex, ambiguous problems, constantly questioning and pushing boundaries to develop novel solutions * A leader. You challenge conventional thinking, drive breakthroughs in conversational AI, and mentor teams to achieve innovation excellence * Technical. You have hands-on experience in AI/ML development, working with open-source tools, cloud computing platforms, and DevOps technologies. You are proficient in NLP and LLM tuning. * Influential. You are passionate about GenAI and can bring together cross-functional teams to drive adoption and innovation. You communicate complex ideas clearly to technical and non-technical audiences. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases Preferred Qualifications: * PhD in Computer Engineering plus 3 years of relevant experience, prior publication/research experience referred * At least 3 years of specialized experience in GenAI application development. * At least 3 years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU cluster * At least 3 years of experience working with AWS or equivalent GPU Clusters * At least 3 years of experience in PyTorch/Tensorflow Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Mgr, Data Science New York, NY: $211,000 - $240,800 for Mgr, Data Science San Jose, CA: $211,000 - $240,800 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

You will work closely with research scientists and frontend engineers to build new capabilities into the Hume platform, and you will have the opportunity to take part in a wide range of engineering initiatives across the ML lifecycle, including model training, evaluation, and deployment at scale. Ex

Engineering and Information Technology. Machine Learning Engineer - ML Systems, Automated Officiating. Machine Learning Engineer - ML Systems, Automated Officiating.

At Pave, we're combining the world's largest real-time compensation dataset with deep expertise in AI and Machine Learning to reimagine how our clients make compensation decisions.By building the operating system for compensation, we're perfecting the art and science of pay to give 8,500+ companies

Chalk is building the data platform that powers the future of machine learning applications.We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities.Our platform combines Rust-speed performance with elegant tools that developers love to use.Leading com

Traba is a technology company that enhances the productivity of the light industrial supply chain.We connect businesses with vetted workers to meet their staffing needs by leveraging location monitoring, predictive algorithms, machine learning, AI, computer vision, and other advanced technologies.Ou

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps, and platforms they use every day. Know what our users want? Join us and help Spotify give it to them. The Content Understanding team works at the heart of the Content Platform R&D studio to develop rich and interconnected data and insights to enable delightful consumer experiences through a fusion of machine and human expertise. We power use cases across Spotify verticals - Music, Podcasts, and Audiobooks. We are seeking a product manager for a fast-paced team that is enabling a deep understanding of the Spotify catalogs through the lens of Text Understanding. The team’s goal is to create products that help understand short-form and long-form text content to enable our internal Spotify customer teams to build experiences that are safe and engaging. We are solving these problems through innovative machine-learning models, deep subject matter expertise, and close integration with human-in-the-loop processes in Spotify. The team is composed of machine learning engineers, data and backend engineers, and subject matter experts who can drive product exploration and development initiatives to convert deep insights about our Spotify catalogs into engaging product offerings. \n What You'll Do • Drive the conceptualization and development of ML/Data products, • Collaborate with a team of skilled engineers, data scientists, and domain experts to set the product vision, strategy, and roadmap for your area., • Lead product discovery to find opportunities across Spotify for your team to solve, • Communicate complex concepts and experiments in a clear and effective manner to technical and non-technical audiences., • Continually improve your products via an ongoing build-measure-learn cycle., • Collaborate cross-functionally with other teams on product development and new initiatives. Who You Are • Experience building ML/Data products (especially using LLMs) where the result is consumed by other teams to create experiences., • Strong grasp of the complete machine learning product lifecycle from goal setting to data collection/labeling to model development and deployment, along with measurement & iteration., • Lead data-driven product discovery to identify high-value opportunities for ML/data products and then prioritize what to build Now-Next-Later., • Passionate about how products work “under the hood” and are comfortable discussing technical challenges with engineers., • Self-starter who can collaborate with cross-functional partners in a dynamic environment and deliver results., • Excellent verbal and written communication skills. Where You'll Be • This role is based in New York City (USA)., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. \n$118.60 - $169.43 a year \n The United States base range for this position is $118,598 - $169,426 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you. As an early member of Charlie Health’s Engineering Team, you will play a big part in building our applications from the ground up. We’re looking for someone who enjoys partnering closely with the rest of the product development team to make durable contributions and technical decisions as we race toward product launches. You’ll thrive here if you find greenfield work energizing, have a high quality bar, and prefer to iterate to success. Our team is composed of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. We are looking for a candidate who is inspired by our mission and excited by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way. Responsibilities • Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL, • Set strong patterns for our growing team to follow, • Lead, mentor, and inspire a cross-functional team of software engineers, driving the design, development, and delivery of high-quality software solutions while fostering a culture of collaboration, innovation, and continuous improvement., • Leverage AI and Machine Learning to enhance client and clinician-facing tools, transforming them into an industry-leading platform that empowers clients to take ownership of their mental health journey while driving measurable clinical outcomes., • Be an owner. Collaborate with Product, Design, other stakeholders, and across Engineering to align and iterate to top notch product solutions, • Work on mission-critical features to engage potential clients and connect them with life-saving mental health care., • Own and evolve engineering processes at the team level to align with org-wide practices. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work., • Ensure our clients can always access the care they need by participating in our on-call rotation. Requirements • At least 7 years of professional experience developing user facing web or mobile applications that deliver meaningful business value, • Expertise and hands on production experience with an application programming language, preferably Python, • Excellent at managing ambiguity. Masterful ability to break down big, messy problems (demanding requirements, bugs, etc) into smaller parts with tractable solutions and clear iterations, • Meaningful scope within an application engineering team. Experience making or contributing to important technical tradeoff decisions with cross team implications, • Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth, • Please note: candidates located within 75 minutes commuting distance of our NYC office are expected to come to the office Monday through Thursday and Fridays are remote Charlie Health is pleased to offer comprehensive benefits to all full-time employees. Read more about our benefits ___.#LI-Remote Additional Information The total target base compensation for this role will be between $185,000-$235,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don’t give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

At Pave, we're building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 58% of ___ use Pave to benchmark compensation. The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. The R&D organization encompasses engineering, product, design, data science, and security. We’re a high performing team that moves between ideation, scoping, and execution in a matter of days. Everyone on the team has high agency to design, experiment, and build great software in partnership with our pre-sales and post-sales teams, and our clients. We're seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale. Our stack is React, TypeScript, ___, MySQL, and BigQuery hosted on GCP. • 2+ years of full-time backend engineering experience, ideally using modern web technologies such as TypeScript and Node.js, with at least some experience building data-intensive applications., • Growing understanding of secure data architecture: You are able to design and work with relational and/or NoSQL databases. You optimize queries with guidance and are learning to handle large datasets securely and efficiently., • Growing product intuition: You understand the value of building for user impact. You seek context from product partners and balance speed with thoughtful technical decisions., • Execution-driven mindset: You thrive in fast-paced environments, bias toward action, and ship thoughtful solutions without overengineering., • Adaptability in ambiguity: You’re comfortable filling in gaps, validating direction through prototypes, and evolving your approach as you learn., • Collaborative working style: You work well with product managers, designers, and fellow engineers, and care deeply about delivering value to users., • Nice to have: Experience at B2B SaaS companies, especially during periods of rapid growth or platform expansion Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental, and vision coverage, an unlimited PTO policy, and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. Salary Range for this role: $140,000 - $196,000 Since being founded in 2019 Pave has grown globally. We’re based across our HQ in ___neighborhood, Flatiron in NYC and regional hubs in Salt Lake City and the United Kingdom. We embrace a high-energy, collaborative in-person work environment at these locations, operating on a hybrid schedule that brings teams together in-office on Mondays, Tuesdays, and Fridays. At Pave roles, responsibilities, and compensation grow as you do, reflecting our commitment to your professional development. • Comprehensive Medical, Dental and vision coverage for you and your family, with plenty of options to suit your needs, • Flexible PTO and the ability to work from anywhere in the world for a month, • Lunch & dinner stipends as well as fully stocked kitchens to fuel you, • Quarterly education stipend to continuously grow, • Robust parental leave to bond with your new family, • A commuter stipend to help you collaborate in person Vision Our vision is to unlock a labor market built on trust. Mission Our team's mission is to build confidence in every compensation decision.

Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Product Management at Cohere: Our team is responsible for driving the direction of Cohere’s technology to the world through our interfaces. We’ve released both Generative models like Command A, Retrieval models like Embed 4 and Rerank 3.5, and Products such as North and Compass. At Cohere, PMs work on the core models, APIs, and end-to-end products that serve our Enterprises and Developers. We view the role that PMs play at Cohere to be “Full-Stack” in the sense that you will work with cross-functional stakeholders at every step of the way when training and evaluating the Models, delivering the Product, ensuring successful GTM and Customer Happiness. About The Search and Embeddings Role One of the most exciting applications for Generative AI is in its use in Retrieval Augmented Generation (RAG) and Agentic - Search and Embeddings plays a critical role in ensuring that LLMs have the correct context in order to answer the user needs. The focus of this PM will not only be on the role that search plays in RAG/Agents but also in traditional search. The expectation is that you have experience with working on Search Products and Embedding / Cross-Encoder models. The Search and Embedding Team manages is responsible for the following Models and Products * Embeddings (Embed-v4.0) * Rerank (Rerank-v3.5) * Compass (Cohere’s Search Solution) * Evaluation of Search Performance across all Products and Models In this role, you will: * Define strategic priorities and roadmap for improving retrieval model performance, focusing on enterprise needs and emerging capabilities. * Use data and customer engagements to better understand user needs and guide future product and model development. * Collaborate with a wide range of stakeholders, including teams in product, finance, go-to-market, engineering, and marketing. * Drive product strategy and monetization through a deep understanding of the increasingly dynamic and competitive AI Landscape. * Read lots of papers and collaborate with ML on ensuring our models remain SOTA In order to be successful in this role, you have: * At least 4+ years of product management experience, understanding customer needs, and launching successful products. * At least 1+ years of working on Search Products and Embedding/Reranking Models. * Obtained a Bachelor’s or postgrad degree in CS, ML or related field, or a background in machine learning, algorithms, large scale systems, and statistics. * Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones. * Showcase strong leadership, organizational, and execution skills, along with proven communication abilities. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an ___, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend ✈️ 6 weeks of vacation Note: This post is co-authored by both Cohere humans and Cohere technology.

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, andincreasing the performance of wind turbines. The Role As our product offering continues to expand and increases in adoption, seamless customer onboarding, as well as the collection and integration of feedback, will be critical to ensure its ongoing success. As a member of our delivery teams, you’ll be responsible for facilitating our customers’ adoption of our Platform and libraries. You’ll deploy your expertise across multiple customer projects, working closely with their engineerings and IT professionals to ensure compliance with their security requirements and develop solutions to integrate with their existing CAE, PLM and/or control systems. Further, where there is the need to introduce new Platform features, or create bespoke applications backed by our Platform and libraries, you will design, develop and deploy these, working closely with delivery colleagues and the customer to rapidly deliver impact. \n What you will do • Work directly with our customers and internal users to understand the technical requirements for projects and products, • Own the deployment of custom-tailored software solutions with small, high performing teams building AI solutions for advanced engineering applications, • Work within delivery teams in a cross functional capacity, taking uses cases and requirements from clients and end-users to improve the product and platform, • Drive the technical direction of PhysicsX’s proprietary platform using learnings from customer interactions and rapid prototyping of solutions, • Continuously apply and improve software engineering best practices and standards and coach your colleagues in their adoption What you bring to the table • 1+ years of relevant work experience., • Excellent collaboration and communication skills - with teams and customers alike, • Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly, • Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps), • Experience using public cloud platforms, such as AWS, Azure and GCP, • Familiarity with high-level machine learning concepts (eg. model training, model inference, hardware accelerations) What we offer • Be part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of, • Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here, • Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo, • Work sustainably, striking the right balance between work and personal life., • Receive a competitive compensation and equity package, in addition to plenty of perks such as generous vacation and parental leave, complimentary office food, as well as fun outings and events, • Work in a flexible setting, at our lovely London Shoreditch office, and a good proportion from home if so desired. Get the opportunity to occasionally visit our customers' engineering sites and experience first-hand how our work is transforming their ways of working, • Use first-class equipment for working in-office or remotely, including HPC \n$120,000 - $240,000 a year\n We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. We are seeking a highly experienced and motivated Sr Technical Product Owner to join our AI Solutions team within Operations & Technology. In this pivotal role, you will work on enterprise products and agents utilizing Generative AI to create impactful solutions in areas such as conversational agents, and insights and analytics. This role will involve strategic planning, hands-on execution, and leadership, ensuring that our products meet both organizational goals and stakeholder needs. As a senior team member, you will lead initiatives in a dynamic environment and play a pivotal role in shaping our products and services. If you are passionate about AI, product management, data solutions, and collaborating with cross-functional teams, we invite you to apply and innovate with us. Key Responsibilities • Product Development:, • Collaborate with cross-functional teams and stakeholder community, including Program Management, Product, Engineering, Scrum, and leadership, to scope, develop, and implement GenAI products., • Define and deliver long-term data product strategies for GenAI use cases to optimize performance and scalability., • Develop a deep understanding of stakeholders needs to define detailed, actionable requirements and write user stories for engineering work., • Perform product testing to ensure functionality, accuracy, and performance as well as conduct demos., • Own and maintain products, utilizing feedback to iterate and refine features continuously., • Strategic Execution & Stakeholder Engagement:, • Drive the execution of product roadmaps, ensuring alignment with strategic goals and long-range plans., • Partner with internal and external stakeholders throughout the end-to-end GenAI use case lifecycle., • Prepare and deliver decks, reports, metrics, recommendations, and other resources to stakeholders and executives., • Innovation:, • Stay informed on emerging AI, LLM, machine learning, and similar technologies as well as the latest vendor offerings., • Contribute to identifying reusable enterprise GenAI patterns to streamline future implementations., • Identify opportunities to enhance products, improve operational processes, and drive overall efficiency. Basic Requirements: • Bachelor’s degree in computer science, Engineering, or a related field (or equivalent professional experience), • 12+ years of related professional experience (e.g., experience in product management or development, ideally with a focus on AI or data), • Excellent verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences., • Proficiency in analyzing complex data sets and drawing actionable insights to inform product strategy and decision-making, • Proven ability to work effectively with engineering, data science, marketing, and other teams to deliver high-impact products, • Exceptional problem-solving skills, with the ability to break down complex challenges and drive actionable solutions, • In-depth knowledge of APIs and integration patterns for seamless connectivity and data exchange, • Understanding of ML lifecycle, Feature engineering, model drift, A/B testing, retraining, • Proven expertise in developing and deploying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architecture, • Exceptional product management skills, attention to detail, and the ability to manage multiple priorities effectively., • Knowledge of data governance, privacy and legal compliance, cyber security, and best practices in ethical AI., • Understanding of prompt design, hallucination mitigation, • Familiarity with offline vs online evaluation metrics (e.g. accuracy, latency, user satisfaction), • Familiarity with tools such as MLflow, Weights & Biases, Databricks, LangChain, Pinecone, etc., • Experience with Microsoft Azure tools like Function App, API Gateway, • Knowledge of data governance, privacy and legal compliance, cyber security, and best practices in ethical AI., • Advanced technical, quantitative, analytical and research skills. As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to ___.

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. We are seeking a highly experienced and motivated Sr Technical Product Owner to join our AI Solutions team within Operations & Technology. In this pivotal role, you will work on enterprise products and agents utilizing Generative AI to create impactful solutions in areas such as conversational agents, and insights and analytics. This role will involve strategic planning, hands-on execution, and leadership, ensuring that our products meet both organizational goals and stakeholder needs. As a senior team member, you will lead initiatives in a dynamic environment and play a pivotal role in shaping our products and services. If you are passionate about AI, product management, data solutions, and collaborating with cross-functional teams, we invite you to apply and innovate with us. Key Responsibilities • Product Development:, • Collaborate with cross-functional teams and stakeholder community, including Program Management, Product, Engineering, Scrum, and leadership, to scope, develop, and implement GenAI products., • Define and deliver long-term data product strategies for GenAI use cases to optimize performance and scalability., • Develop a deep understanding of stakeholders needs to define detailed, actionable requirements and write user stories for engineering work., • Perform product testing to ensure functionality, accuracy, and performance as well as conduct demos., • Own and maintain products, utilizing feedback to iterate and refine features continuously., • Strategic Execution & Stakeholder Engagement:, • Drive the execution of product roadmaps, ensuring alignment with strategic goals and long-range plans., • Partner with internal and external stakeholders throughout the end-to-end GenAI use case lifecycle., • Prepare and deliver decks, reports, metrics, recommendations, and other resources to stakeholders and executives., • Innovation:, • Stay informed on emerging AI, LLM, machine learning, and similar technologies as well as the latest vendor offerings., • Contribute to identifying reusable enterprise GenAI patterns to streamline future implementations., • Identify opportunities to enhance products, improve operational processes, and drive overall efficiency. Basic Requirements: • Bachelor’s degree in computer science, Engineering, or a related field (or equivalent professional experience), • 12+ years of related professional experience (e.g., experience in product management or development, ideally with a focus on AI or data), • Excellent verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences., • Strong understanding of data management principles, data warehouses, and data integration techniques, • Proficiency in analyzing complex data sets and drawing actionable insights to inform product strategy and decision-making, • Proven ability to work effectively with engineering, data science, marketing, and other teams to deliver high-impact products., • Exceptional problem-solving skills, with the ability to break down complex challenges and drive actionable solutions., • Strong understanding of data management principles, data warehouses, and data integration techniques, • Understanding of ML lifecycle, Feature engineering, model drift, A/B testing, retraining, • Proven expertise in developing and deploying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architecture, • Exceptional product management skills, attention to detail, and the ability to manage multiple priorities effectively., • Knowledge of data governance, privacy and legal compliance, cyber security, and best practices in ethical AI., • Understanding of prompt design, hallucination mitigation, • Familiarity with offline vs online evaluation metrics (e.g. accuracy, latency, user satisfaction), • Familiarity with tools such as MLflow, Weights & Biases, Databricks, LangChain, Pinecone, etc., • Experience with Microsoft Azure data management tools like Data Factory, SQL Server, Cosmos DB, AI Foundry, • Knowledge of data governance, privacy and legal compliance, cyber security, and best practices in ethical AI., • Advanced technical, quantitative, analytical and research skills. As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to ___.

This role requires eligibility to work in the USA for a US company, and infrequent travel may be required Position Overview: As the Senior / Lead ML Tooling Software Engineer at Atlas AI, reporting to the Head of Engineering, you will be part of the core team defining, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists (DS) and Machine Learning Engineers (MLE) to implement Geospatial AI models. The Senior / Lead ML Tooling Software Engineer position sits in our Software Engineering team; you will interface with peer software engineers, domain experts, data scientists, machine learning engineers, product designers, and product marketers. You will work at the intersection of our leading AI research activities and software engineering to advance our product roadmap. As the Lead ML Tooling Software Engineer, you will: • Own the design, development, deployment and support of our cloud-scale training services for GeoSpatial Machine Learning models, • Be the Subject Matter Expert ensuring that the Software Engineering team builds and delivers solutions that “just work” for how DS and MLE approach GeoSpatial problems in the real world, • Engage internal collaborators and our end-use partners and customers to understand needs, plan solutions and lead development of deliverables, • Close the feedback loop with Solutions, Engineering and Innovation teams to deliver customer experience and market insights, • Architect and develop serverless solutions that marry products within and across cloud platforms (e.g. GCP, AWS, Azure) that address customers’ needs, • Lead client-oriented API design and development, • Work with designers, product managers, and your fellow engineers to build APIs to support key functionality and use cases, • Actively participate to improve engineering standards, tooling, and processes, • Leverage your experience in early stage startups to make informed decisions that balance speed vs quality, • Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm, • Two or more years of recent work experience as a practicing Backend Software Engineer using Python, GDAL and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo), • At least three or more years of recent work experience building around Earth Observation use-cases, • Technical ownership of key areas of a Product, such as one or two critical services, • Demonstrable experience with Python, Pandas, PyTorch, GDAL, • Experience with building distributed computing infrastructure flexible for both on-demand and batch processing, • Self-starter attitude, comfortable working independently and in an entrepreneurial, start-up environment; thrives in high-trust environments with minimal resources/backing, • Exceptional interpersonal communication, both written and oral, • Independence and ownership of work in an entrepreneurial, start-up environment, • Applying Geospatial libraries and datasets at scale for user-facing applications, • Developing enterprise PaaS and SaaS products, • Working in early-stage startup environments Please provide a link to your github repo in your CV. We are ideally looking for a candidate in the SF Bay Area, CA or New York, NY (100% remote with two to four meet-ups per year in-person). We offer a casual and inclusive working environment, competitive compensation, and great benefits. We are a values-driven company, and take great pride in building products that are designed to improve lives and foster development across emerging markets. Salary range for candidates depending upon level of experience and location: $170,000 - $200,000. Atlas AI is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status. This role requires eligibility to work in the USA for a US company, and infrequent travel may be required. Perks & Benefits • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company., • Atlas AI is a 100% remote company with occasional in-person meet-ups in SF, NYC, Nairobi (Kenya) and Kaunas (Lithuania)., • Competitive compensation & equity., • Outsized responsibilities & professional development budget., • Opportunities to travel to conferences, events and other industry-led symposiums., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance including dependents (exact benefits vary by region)., • Unlimited paid time off, with a target goal of 20 days off per year + public holidays (region dependent)., • Paid parental leave (exact benefits vary by region)., • Home office setup allowance, co-working space stipend, and company MacBook., • Monthly wellness benefit., • Opportunities to co-author research papers and patents (role-dependent).

Office Location: Lower Manhattan, NY Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency Job Overview: As a Staff Engineer on the AI Platform Team at Accrete AI, you will play a pivotal role in designing, building, and scaling our AI infrastructure. You will lead the development of robust, scalable, and high-performance AI Platform that supports our AI agent applications. This role requires deep technical expertise, leadership skills, and a strategic mindset to drive innovation and ensure the reliability and scalability of our AI solutions. Key Responsibilities: Qualifications: Accrete values diverse experiences and we encourage applicants to apply even if you don’t meet all of the following criteria. While having all of the qualifications listed below can certainly make you a strong candidate, we acknowledge that great candidates aren’t defined simply by a list of skills. If you think you have other experiences that would make you a good match for this role, please apply! • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. PhD is a plus., • Experience:, • 8+ years of experience in software engineering, with a focus on building scalable platforms., • 5+ years of experience in AI, machine learning, or data engineering., • Proven experience leading complex engineering projects from concept to delivery., • Experience working with language models is a plus., • Technical Skills:, • Expertise in programming languages such as Python, Java, or C++., • Strong understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch) and data processing technologies (e.g., Apache Spark, Hadoop)., • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes)., • Proficiency in software architecture, system design, and distributed systems., • Experience with CI/CD pipelines and DevOps practices., • Soft Skills:, • Excellent problem-solving skills and ability to think strategically., • Strong leadership, communication, and collaboration abilities., • Ability to mentor and inspire teams to achieve technical excellence. Benefits: • Comprehensive, competitive benefits: health, dental, vision, prescription, long- and short-term disability and life insurance, and a 401(k) (Traditional & Roth), • Flexible PTO & all U.S. federal holidays off, • Daily catered lunch and a kitchen stocked with snacks and beverages

Ambrook’s mission is to help family-run American businesses become more profitable and resilient. From record-breaking droughts to rising input costs and unpredictable markets, operators across American agriculture and industry are navigating increasing pressure — much of it driven by a changing climate and economy. Many of the best long-term investments — like water-efficient irrigation or improved grazing rotations — support both the land and the bottom line. But even when the payoff is clear, these changes often require upfront capital and financial clarity that’s hard to come by. With fragmented records and outdated tools, business owners can’t easily see what’s working — let alone prove viability to a lender, partner, or the next generation. Ambrook is rebuilding the financial infrastructure that independent operators rely on. We replace paperwork and legacy systems with modern tools for accounting, banking, invoicing and spending — built for people who spend more time in the field than in the office. Our platform gives producers the financial clarity they need to make confident investments in their land, their operation, and their future. Our customers are the backbone of the real economy — stewards of land, labor, and legacy. When they can invest in ways that make their businesses stronger and more durable, they become a force for generational resilience across America. We’re starting with farmers and ranchers across the country — helping them keep the family business in the family and make decisions that stand the test of time. We’re a Series A startup backed by top investors (Thrive Capital, Dylan Field, Homebrew, Designer Fund, BoxGroup, and more) and are looking for early team members who are looking to untangle the knotted intersection between American industry, climate, and the economy. ___ about our mission and what it’s like to work with us. The opportunity Ambrook is building a world-class team to empower industrial businesses using modern AI tools. As one of our first engineers focused on AI and machine learning, you’ll help lay the foundation for how we use LLMs and intelligent systems to make messy, high-stakes financial workflows faster, smarter, and more accessible for farmers and ranchers. We’re dealing with problems like the ___, cleaning and categorizing transactions, summarizing financial documents, and surfacing the right insights at the right time — and we need an engineer who’s excited to build AI-powered tools that actually work in the wild. We’re looking for someone who we can count on to… * Own: Development of intelligent systems and tools that use LLMs, NLP, and heuristics to streamline bookkeeping, inbox triage, and financial workflows. * Teach: Best practices around ML system design, evaluation, prompt engineering, and scalable AI infrastructure. * Learn: How messy real world financial data really is - from scanned PDFs to unformatted CSVs to text-heavy emails - and how to make sense of it using language models. * Improve: Our internal tooling and infrastructure for classification, tagging, summarization, and user-in-the-loop AI systems. Within 1 month you'll... * Build and ship a feature powered by an LLM - e.g., parsing a new type of paper document, or categorizing financial transactions. * Review our current uses of AI and write up a note identifying where AI could meaningfully improve automation and accuracy. * Collaborate with product and engineering to understand customer workflows and where AI would reduce manual pain. Within 3 months you'll... * Establish early foundations for evaluation pipelines, prompt management, and feedback loops to improve LLM performance over time. * Implement or improve systems for document extraction and financial transaction tagging, using both heuristics and model-based approaches. * Collaborate closely with design and product to make AI features feel reliable, intuitive, and helpful, not mysterious or brittle. Within 6 months you'll... * Architect and scale systems for automated bookkeeping and analysis using hybrid AI + rule-based systems. * Contribute to our long-term AI strategy: which tasks to automate, how to measure confidence, and when to keep a human in the loop. * Help build internal tooling for prompt iteration, embedding search, labeling, and retraining. * Share learnings in a post on Ambrook Research or an open-source tool that helps others tackle similar messy real-world data problems. About you * You've built and shipped ML/AI-driven features, ideally with LLMs, in a product that’s in production, not just in a notebook. * You're excited to apply language models to real-world, unstructured, often ugly datasets, and turn them into valuable product experiences. * You're pragmatic about AI: you know when to use an LLM, when to write a regular expression, and when to ask the user. * Bonus: Experience working with LLM APIs, prompt engineering, embeddings, vector search, or fine-tuning. * Bonus: You've worked on products involving transactions, finance, document processing, or communications tooling. * Bonus: Experience with Typescript, React, and Python-based ML tooling (LangChain, OpenAI SDK, Pinecone, etc.). Our Tech Stack * Next.js / React application written in Typescript * Hosted on Google Cloud * Firestore & Google Cloud Storage for data storage * BigQuery & Data Studio for data insights Values * Real Talk – We create space for ourselves and others to be straightforward, vulnerable, and accountable. * Reach Understanding – We are driven by curiosity and empathy to learn about our customers, team, and world. * Be Proactively Resourceful – We are internally motivated and externally empowered to identify opportunities and solve problems. * Derisk Thoughtfully – We lean into the biggest risks we face as a company and put in the work to address them systematically. * Find the Positive-Sum – We believe in creating incentive structures that align the needs of our company, our customers, and our planet. * Ambrook is an equal opportunity employer. We are committed to building diversity and inclusion into our core company culture. Benefits * Competitive compensation * Health insurance * 401(k) with matching contribution * Paid parental leave * Flexible work hours and vacation time * Work-from-home/remote office stipend * Wellness stipend * Professional development stipend

ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE POSITION Our roster has an opening with your name on it As a Software Engineer within FanDuel’s Trading Solutions team, you will be an essential part of a cross functional agile team that directly impacts our business. You will work collaboratively with a team to implement creative, high-quality solutions, scope effort and timelines, and balance priorities of our stakeholders and engineering needs. This team will work closely to deliver exceptionally high-quality software, while taking pride and ownership in testing, deploying, monitoring, and maintaining that software. Our engineers own every part of the software delivery lifecycle. You will work directly with quantitative analysts at FanDuel to improve the major US sports platforms. You will be a domain expert on price modeling implementation and how that fits into the larger Risk and Trading landscape. You will go beyond the software developer role, and will be called upon to identify opportunities yourself in the quantitative space to innovate through technology. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play You are a significant and autonomous contributor. Your work is consistently of high quality. You solve difficult problems, applying appropriate technologies and best practices. You work with your team to invent, design and build software that is stable and performant. You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimise incidental complexity). You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc). We are looking for engineers to actively engage in technical discussions, assist in designing and implementing solutions, and deliver constant improvements to our systems. We want you to be excited about constantly learning and driving your professional development. You should have many of the following skills and be eager to build the skills you don’t have: • You work in project ideas with stakeholders, and peers, • You own parts of product and technology & become subject matter experts, • You write simple and extendable code following standards and best practices. You test your code thoroughly, • You help balance customer requirements with the team requirements, • You help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews, • You classify, store, and handle data in accordance with FanDuel policies, • You track security risks and mitigate and/or escalate them in a timely manner, • You focus on operational excellence, constructively identifying problems and proposing solutions, • You take on projects and make software enhancements that improve the team software and processes, • You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it, • On-call rotation where required. You provide excellent customer support, • You keep yourself up to date with market standards, open-source framework, • Creative problem-solving ability, • A passion for learning and always getting better, • Most importantly, you are; humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce THE STATS What we're looking for in our next teammate • Degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or related discipline., • 2 or more years of industry experience in an Engineering field, Machine Learning, Data Science, Finance Engineering, or Statistics., • Proficient in building services with a modern OOP language (C# experience is beneficial)., • Understanding of performance, hardware, and lower level memory management (C, C++, or Rust experience is beneficial)., • A fundamental understanding of data structures and algorithms., • Experience working with CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial)., • Experience working with cloud-based infrastructure and technologies., • Knowledge of infrastructure as code is nice to have, notably Terraform and Helm., • Experience interacting and designing relational databases, • Experience with streaming technologies, like Kafka, is nice to have., • Ability to document code, research, and designs clearly., • Proficiency in translating requirements into design and developing applications., • Understanding of containers (e.g. Docker), and orchestration (Kubernetes)., • Experience with unit testing, testing tools, integrating testing and best-quality practices into an SDLC., • Experience working in an Agile environment. PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: ___. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $125,000 - $156,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. #LI-Hybrid

Valence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleIn this role you'll be be the founding GM-type product leader wholly accountable for end-to-end retention, user engagement, and activation for a critical product area. You'll own and define the full journey for enterprise end-users, from onboarding through ongoing engagement. This is not a feature shipper role - you’re building retention frameworks, defining and measuring user success, and pioneering hands-on, rapid experimentation at the intersection of AI and user experience. Expect to drive hypotheses, rapidly iterate in zero-to-one fashion, and immerse yourself with actual users to discover needs and fuel the next wave of enterprise value. In other words, you’ll ship to discover value, not only to deliver roadmap features. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, ServiceNow, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry. • Lead strategic product direction and roadmap development in close partnership with our technical and product leadership., • Set the vision for and own the retention funnel and success metrics, including activation and deep engagement triggers., • Personally define, prioritize, and validate hypotheses via fast, data-driven experiments; craft programs to test, learn, and iterate quickly., • Spend substantial time in direct user discovery, segmentation, and feedback loops, running interviews and user groups to glean rapid insights., • Collaborate deeply with engineering and design to ensure cohesion between product vision and hands-on execution—operating as both strategist and builder., • Own and execute hands-on product marketing, new messaging and creative experiments, plus novel AI-assisted approaches to drive user adoption., • Lead product teardowns and retrospectives to surface lessons, articulate design trade-offs, and uphold a high bar for product judgement and craft., • 8+ years of relevant product management or equivalent operator/technical experience., • AI Fluency: Proven AI-native orientation with clear personal/professional use of AI tools, workflow automation, or productized AI practices., • Enterprise Impact: Direct ownership of shipping end-user-facing products at enterprise scales and not just internal tools., • High Velocity Execution: Demonstrated ability to thrive in early stage product environments, shipping with minimal process and citing high-impact outcomes., • Analytical Rigor: Strong analytical skills including A/B testing, build-measure-learn loops, and using data to drive product direction., • Product Craft: Drive product excellence by presenting live walkthroughs of shipped products, unpacking decisions that achieved measurable user impact and real-world results., • User & Enterprise Empathy: Deep, intuitive empathy for both individual users and enterprise end-users - able to understand needs, motivations, and pain points at every level to inform high-impact product bets., • Ownership & Rapid Growth, • Outsized missions from day one, with direct responsibility for company-defining projects, • Work alongside the executive team with transparency into strategy and decision-making, • Influence on direction through real-time customer feedback and market insights, • AI-First Operator, • Work directly with cutting-edge AI models and next-generation platforms, • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries, • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale, • Compensation, • Competitive salary including base + bonuses, • Comprehensive health coverage (medical, dental, vision) from day one, • Generous PTO, company-wide R&R shutdowns, and paid parental leave, • Retirement plan support for US and global employees, • Equity, • Meaningful ownership in a venture-backed company at a growth inflection point, • Financial upside that comes from scaling fast, • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact, • Top-Performing Culture

Role-Java developer with Scala Location-NYC,NY Looking for a hands-on Scala Developer to work on a Big Data platform, focusing on transaction monitoring, customer activity review, and scenario optimization. The role involves development, automated testing, DevOps release, and collaboration with global teams to design next-gen financial crime control solutions. • Create technical design documents per Agile (SCRUM) standards., • Work closely with global teams (FCT & NFRT) on collaborative projects., • 8+ years Java Full Stack experience., • 3+ years hands-on Scala/Spark development., • Strong SQL (RDBMS/DB2)., • Experience in HDFS platform development (2+ years)., • Skilled in code optimization (performance, scalability, configurability)., • Experience in Agile (SCRUM) projects., • Knowledge of Actimize ACTONE platform., • Experience with Azure Cloud implementations., • Knowledge of BDD frameworks., • Big Data certification preferred., • Strong communication skills (oral & written).

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit ___. The Storage Infra team is looking to hire a Staff software Engineer who is excited to solve large scale storage infrastructure problems. Reddit’s mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com. Our community of users generates over 100B analytics events per day, each of which is ingested by the Data Infrastructure team into a data warehouse that sees 55,000+ daily queries. We utilize this data to enable both batch and streaming data usage at the company. The team also owns our Streaming Platform that is built using Flink Our caching layer servers 100s of millions of queries/second serving 100s of billions of keys. We are responsible for efficiently storing 100s of terabytes of data. As a staff engineer, you will partner closely with your team and our biggest users (ML/AI/Search) to build technical solutions that can scale to Reddit’s product growth. You’ll do this while maintaining an extremely high availability and reliability bar to ensure that Reddit’s users continue to get a great experience across our entire product portfolio. In your day-to-day, you can expect to: • Contribute to developing the team and organization’s long term technical strategy., • Refine and maintain our data storage infrastructure to support the storage and caching needs of products supporting hundreds of millions of users., • Own the infrastructure (managed and self-hosted) that supports data writes, reads and storage along with the necessary tooling and automation to efficiently operate the infrastructure., • Mentor other engineers on how to design, build, and evangelize services used by hundreds of engineers across Reddit Who you might be: • 7+ years of coding experience in a production setting writing clean, maintainable, and well-tested code., • Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product., • Experience with object-oriented programming languages such as Go, C++ or Java., • Degree in Computer Science or equivalent technical field., • Experience working closely with Storage technologies like Postgres, Mysql, Cassandra, Redis, Memcache is a huge plus! Benefits: • Comprehensive Healthcare Benefits, • 401k Matching, • Workspace benefits for your home office, • Personal & Professional development funds, • Family Planning Support, • Flexible Vacation (please use them!) & Reddit Global Wellness Days, • 4+ months paid Parental Leave, • Paid Volunteer time off #LI-remote, #LI-JS5 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit ___. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$206,700—$289,400 USD Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ___.

Traba is a technology company that enhances the productivity of the light industrial supply chain. We connect businesses with vetted workers to meet their staffing needs by leveraging location monitoring, predictive algorithms, machine learning, AI, computer vision, and other advanced technologies. Our mission is to empower both businesses and workers to reach their full productivity and potential. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst. We are seeking an experienced & entrepreneurial staff engineer to join the founding team to lead the development of our core suite of backend services and platform. You'll partner with our CTO to help make key architectural decisions, iterate on the roadmap, own product decisions, and architect & build our foundational tech platform to enable scaling over the next several years. About You: * Voracious learner. You love diving into new areas and exploring new languages, databases, and technologies, and can discuss API design one minute and deployment infrastructure pipelines with tech leads the next. * Value clear communication. You recognize the importance of clear communication, documented planning, and transparent, frequent feedback. * Sweat the small stuff. You have strong opinions on design patterns, IDEs, tabs vs. spaces—you understand that how you do one thing is how you do everything, so you care about the details. * Deep experience building full-stack web applications. You have designed and built performant, scalable applications, and have expertise in developing APIs, data modeling, optimizing database queries, and scaling distributed systems. You Will: * Architect and lead the development of our applications, APIs, and distributed systems * Own architecture decisions for our tech platform and advise key product & infrastructure decisions, thinking ahead for what the company and engineering team will need a year or two from now * Orchestrate our CI/CD workflows, using Docker & Github, and drive efficiency through automated testing * Build analytics & monitoring to help understand our user experience & application health * Drive backend application performance measurement and optimization * Contribute in a ton of other ways to a scrappy founding team building the future of flexible light industrial staffing! You Have: * 7+ years experience with Typescript/___ or Python, RabbitMQ or Kafka, and PostgreSQL or equivalent * A track record of shipping amazing products and leading projects at scale with high velocity * Expertise designing APIs * Experience with Docker, Github Actions, and Datadog * Experience working in an early-stage engineering team, working through ambiguity, and being a self-starter * A passion for helping people find meaningful work that works for them Benefits: * 📈 Start-up equity * 💰 Competitive Salary * 🩺 100% Paid health, dental & vision coverage * 🍽️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees * 🚍 Commuter benefit * 🎤 Team building events * 🏋🏽 Gympass Benefit * 🌴 Flexible PTO * ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health The compensation range for this position is set between $180,000 and $220,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency.

Traba is a technology company that enhances the productivity of the light industrial supply chain. We connect businesses with vetted workers to meet their staffing needs by leveraging location monitoring, predictive algorithms, machine learning, AI, computer vision, and other advanced technologies. Our mission is to empower both businesses and workers to reach their full productivity and potential. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst. We are seeking an experienced and entrepreneurial Full Stack Engineer to join our founding team to help build our core suite of products—mobile apps for both workers & businesses, and web platforms for our business customers and internal Ops team. You'll work closely with our CTO to make key architectural decisions, iterate on the product roadmap, and build the foundational tech platform that will scale over the next several years. About You: * Voracious Learner: You love exploring new areas, technologies, languages, and frameworks. You can seamlessly switch between discussing API design, user experience, and deployment infrastructure. * Value Clear Communication: You prioritize clear communication, planning, and providing transparent, frequent feedback across the team. * Detail-Oriented: You care about the small details, whether it's design patterns or tabs vs. spaces, and understand how everything contributes to the larger success of the product. * Experienced in Building Full Stack Systems: You have a strong track record of building and shipping scalable, performant applications from frontend user interfaces to backend distributed systems. You Will: * Lead the development of both frontend and backend applications, guiding and mentoring other engineers when necessary. * Design, architect, and build scalable web and mobile applications, distributed systems, and APIs to meet the growing needs of the business. * Work closely with the product and design teams to create a seamless user experience while maintaining high standards for UI/UX. * Establish and promote best practices for code reusability, performance, and build processes across both the frontend and backend. * Implement systems to monitor application health and performance, helping the team understand user experience and resolve any issues proactively. * Be a key player on a scrappy founding team, contributing to the future of flexible light industrial staffing. You Have: * 5+ Years of Experience in both frontend and backend technologies, specifically Typescript/Javascript, React/React Native, and Node.js or Python. * Strong proficiency in building APIs, distributed systems, and client-side state management, along with experience with tools like Docker, Github Actions, and Datadog. * A demonstrated ability to ship scalable, high-quality products in a fast-paced environment. * Proficiency in databases like PostgreSQL and messaging systems such as RabbitMQ or Kafka. * Previous experience working in early-stage engineering teams, thriving in ambiguity, and showing a self-starter attitude. * A genuine passion for contributing to meaningful work, helping people find flexible job opportunities that fit their lives. Benefits: * 📈 Start-up equity * 💰 Competitive Salary * 🩺 100% Paid health, dental & vision coverage * 🍽️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees * 🚍 Commuter benefit * 🎤 Team building events * 🏋🏽 Gympass Benefit * 🌴 Flexible PTO * ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health The compensation range for this position is set between $160,000 and $190,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency.

Our mission is to inspire entrepreneurs and shoppers to find something new. We buy great brands built on Shopify, unlocking liquidity for small business entrepreneurs looking to start new adventures. We manage nearly 50 brands with over 100,000 products across apparel, beauty, home goods, and electronics. Our team of e-commerce experts and engineers uses our proprietary technology and tooling, and advantages from our size, to grow our brands at scale. OpenStore was started in 2021 by top investor and operator, Keith Rabois, a former executive at PayPal, LinkedIn, and Square, and a co-founder of Opendoor. We are backed with $150M+ from world-class investors such as Atomic, Khosla Ventures, Founders Fund, General Catalyst, and Lux Capital. Job Title: Senior LLM Software Engineer Salary Range: $160,000 - $260,000 Join OpenStore as a Senior LLM Software Engineer where you'll play a pivotal role in developing and implementing cutting-edge language models to revolutionize our e-commerce platform. You'll be at the forefront of applying AI technology to enhance customer experiences, optimize operations, and drive innovation in the e-commerce space. Collaborate with a team of exceptional engineers to define and execute the technical aspects of our AI-driven vision. * Design, develop, and deploy large language models (LLMs) to solve complex e-commerce challenges * Optimize LLM performance, focusing on efficiency, scalability, and accuracy for production environments * Collaborate with cross-functional teams to integrate LLM solutions into our existing e-commerce platform * Develop and maintain end-to-end machine learning pipelines for LLMs, from data preprocessing to model deployment * Contribute to the future architecture of key AI systems and frameworks, balancing innovation and reliability * Stay current with the latest advancements in LLM technology and assess their applicability to our projects * Mentor junior team members and contribute to shaping our AI technology strategy and roadmap * You are passionate about AI and its applications in e-commerce * You thrive in fast-paced environments and enjoy tackling complex challenges * You are analytically rigorous and have a bias towards using data to make decisions * You are collaborative, organized, and thoughtful in your approach to problem-solving * You are curious and constantly seek to learn and explore new ideas in the field of AI and LLMs * You take ownership of your work and proactively identify opportunities for improvement * 5-8+ years of software engineering experience, with a focus on machine learning and NLP * Strong expertise in designing, training, and deploying LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face * Proficiency in Python and familiarity with ML libraries and tools * Experience in scaling AI models for production use cases, with a focus on performance optimization and robustness * Solid understanding of algorithms, data structures, and software engineering principles * Familiarity with cloud platforms such as AWS, Google Cloud, or Azure * BSc or MSc in Computer Science, Machine Learning, or a related field * Experience with e-commerce platforms or the Shopify ecosystem is a plus BENEFITS: ✅ Salary range of $160,000 - $260,000 + a competitive equity package + 401(k) ❤️ 100% medical, dental, vision coverage, access to One Medical, Headspace, Spring Health 🏝️ Flexible PTO with 12 holidays, competitive parental leave 💪 Fitness stipend of $1,200 annually paid on a monthly basis 🌸 Fertility reimbursement of $20,000 lifetime benefit from Carrot Fertility 🍕 Breakfast, lunch, and dinner every day of the week from Sweetgreen, Uber Eats Compensation and Bonuses All cash considerations, including base salary and bonuses, are determined based on experience, qualifications, and interview performance. Our comprehensive compensation package includes a competitive base salary and a bonus structure that rewards both individual and company performance. Each employee’s bonus is calculated using a combination of personal achievements and overall organizational success, fostering a culture of individual excellence and collective growth. The specific details of the compensation package, including bonus percentages and performance criteria, will be discussed during the interview process and outlined in the offer of employment. We are committed to recognizing and rewarding exceptional talent while promoting a collaborative environment where individual efforts contribute to our shared success. OpenStore is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

Traba is a technology company that enhances the productivity of the light industrial supply chain. We connect businesses with vetted workers to meet their staffing needs by leveraging location monitoring, predictive algorithms, machine learning, AI, computer vision, and other advanced technologies. Our mission is to empower both businesses and workers to reach their full productivity and potential. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst. We are seeking an experienced & entrepreneurial front-end engineer to join the founding team to help build our core suite of products—mobile apps for both workers & business, and web platforms for our business customers and our internal Ops team. You'll partner with our CTO to help own product decisions, iterate on the product roadmap, and architect & build our foundational tech platform. About You: * Voracious learner. You love diving into new areas and exploring new languages, frameworks, and technologies, and can discuss product with a UX designer one minute and deployment infrastructure with tech leads the next. * Value clear communication. You recognize the importance of clear communication, documented planning, and transparent, frequent feedback. * Sweat the small stuff. You have strong opinions on design patterns, IDEs, tabs vs. spaces—you understand that how you do one thing is how you do everything, so you care about the details. * Deep expertise building pixel-perfect, performant web applications. You have designed and built performant, scalable applications, and have expertise in client side state management, responsive design, and frontend tooling. You Will: * Lead the development of our web & mobile applications, guiding other engineers as needed * Establish best practices in code reusability and build processes for our frontend monorepo * Collaborate with product & design to build a best-in-class user experience * Build analytics & monitoring to help understand our user experience & application health * Contribute in a ton of other ways to a scrappy founding team building the future of flexible light industrial staffing! You Have: * 5+ years experience with Typescript/Javascript, and React or React Native * A track record of shipping amazing products * Pixel-perfect attention to detail * Experience building APIs is a plus * Experience working in an early-stage engineering team, working through ambiguity, and being a self-starter * A passion for helping people find meaningful work that works for them Benefits: * 📈 Start-up equity * 💰 Competitive Salary * 🩺 100% Paid health, dental & vision coverage * 🍽️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees * 🚍 Commuter benefit * 🎤 Team building events * 🏋🏽 Gympass Benefit * 🌴 Flexible PTO * ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health The compensation range for this position is set between $160,000 and $190,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency.

About EliseAI EliseAI develops cutting-edge conversational AI technology for industries fundamental to our lives: housing and healthcare. Everything is built on the foundation of health and home. Broken systems or ineffective processes in these domains have a disproportionate impact on our quality of life and society’s overall wellbeing. Conversely, any solution or technology that solves problems in these areas will have an impact that ripples far beyond them. That’s the only kind of impact we are interested in having at EliseAI. If you get excited by the thought of working really hard on these kinds of problems, then EliseAI is the right place for you. Why choose EliseAI? As a Software Engineer at EliseAI, you won't just write code; you'll be a driving force behind increasing operational efficiencies for businesses and improving lives. Instead of following a playbook, you’ll be creating it. Every single day you will be challenged to identify how we can scale and execute on it. While working with other talented Engineers, you'll have the opportunity to take on significant ownership, lead projects, and see your ideas come to life. Key Responsibilities * Contribute rapidly to our core software platform that automates the leasing process and helps our customers operate their apartment communities more efficiently * Develop and own new features that increase value for our customers * Propose meaningful improvements to our software architecture and design patterns * Learn and drive engineering best practices * Leverage automating testing and continuous integration/continuous delivery in order to rapidly iterate on our product What we're seeking We’re much more interested in someone who is hungry to learn and perform at a fast growing startup than someone whose resume checks all the boxes. * Ambitious Innovators: We're in search of individuals who share our excitement for AI's potential to drive positive change. Your passion will fuel our mission to transform industries and improve lives. If you're motivated by challenges and ready to make your mark, you're exactly who we're looking for. * Collaborative Contributors: Collaboration is central to our success. We're seeking team players who thrive in a collaborative environment, communicate effectively, and are enthusiastic about learning from their peers. Requirements * Have a startup mindset, ownership, and a proper balance of quality and sense of urgency * Be great at solving problems with little guidance * Have strong bias for action * Have strong system design knowledge * Have 1+ years of Java, C#, Go or Python experience * Willingness to work in person at our office 4-5 days a week Nice to haves include * Understanding of microservices architecture and event-driven distributed systems * Understanding of machine learning and data * AWS experience Benefits In addition to the growth and impact you’ll have at EliseAI, we offer competitive salaries along with the following benefits: * Equity in the company in the form of stock options * Medical, Dental and Vision premiums covered at 100% * Fully paid parental leave * Commuter benefits * 401k benefits * Monthly fitness stipend * A collaborative in-office environment with an open floor plan, fully stocked kitchen, and company-paid lunch. * Fun company social events through our Elise and the City program * Unlimited vacation and paid holidays * We'll cover relocation packages and make the move exciting, not painful! Job Compensation Range The salary range for this role is $240,000 - $300,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits & perks package. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process. EliseAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note that employment with EliseAI is on an "at-will" basis, which means that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at ___ If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at

About GameChanger: We believe in the life-changing impact youth sports have on and off the field because they encourage leadership, teamwork, responsibility, and confidence—important life lessons that have the power to propel our youth toward meaningful futures. We recognize that without coaches, parents, and volunteers, organized youth sports could not exist. By building the first and best place to experience the youth sports moments important to our community, we are helping families elevate the next generation through youth sports. So if you love sports and their community-building potential, or building cool products is your sport, GameChanger is the team for you. We are a remote-first, dynamic tech company based in New York City, and we are solving some of the biggest challenges in youth sports today. The Position: GameChanger users already live stream and watch millions of hours of youth sporting events and clips using the GameChanger app, and we’re looking for a Senior Full Stack Software Engineer to help lead the expansion of our video capabilities. You will be part of the newly formed video team which owns our video pipeline end to end, evolves our live streaming and post-game video capabilities for users, simplifies the developer experience for product teams that integrate video into our apps, and ensures we have a scalable and resilient platform to handle millions of streams and hundreds of millions of highlight clips annually. As a Senior Full Stack Senior Software Engineer, you’ll be a hands-on engineer helping the team to build and support our video platform. You will collaborate within our team and other platform and product teams to develop video-related projects that grow our streaming capabilities, handle our increasing scale, and improve our users’ experience with video to ensure that fans can always capture and watch the moments that matter to them most. As a member of this team, you’ll give input into decisions that influence the entire video stack: mobile broadcast and playback frameworks, back-end ingest/transcoding/playback infrastructure, VoD storage and playback, and hooks for other workflows such as automatic highlight clipping, advertising, live-stream overlays, and AI/Computer Vision workflows. You will report to the Senior Engineering Manager of our Video team. Check out some of our current video capabilities at ___ Check out some of our current video capabilities at What You’ll Do: * Working in your team of mobile, web, back-end, and infrastructure engineers, you’ll help to design, implement/code, and support video features across the video pipeline stack, including live video ingestion, transcoding, integration, storage, and playback/usage at scale. * Work on our backend video platform ( written in TypeScript) providing APIs for other teams to build customer experiences from. * Collaborate with other members of the team and other teams including: mobile, web, machine learning/computer vision, and platform teams on multi-faceted projects across the entire video processing system to lead improved user experiences and outcomes. * Review and provide feedback on designs and code/PRs. * Help build internal SDKs, frameworks, and tooling to allow product development teams to easily integrate video into the product at different stages of the video pipeline. * Help build real-time monitoring and measurement systems for critical operational workflows in the video pipeline, including tools for on-call developers and customer support to manage and troubleshoot issues. Support the video workflows through an occasional (few days per month) on-call rotation with a team of other engineers. * Help interview and onboard other software engineers in the video and live-streaming space. * Be able to be in an on call rotation to support our production systems if issues arise off hours. What You’ll Bring: * Background in video and audio streaming with a focus on live-streaming of user-generated content. * Understanding of the basics of audio and video packaging principles, codecs, and other associated tools, including their relative tradeoffs, such as MPEG Video, MPEG-2 TS, HLS, DASH, H.264 AVC, H.265 HEVC, VP9, AV1, VVC, RTMP/enhanced RTMP, SRT, FFMPEG, and DRM. * Hands-on software development experience designing and building live and video on demand streaming workflows and exposure to video technologies around mobile broadcast, ingest, transcoding, storage, playback, and related systems at scale. * 5+ years of experience reading (preferably coding) in languages commonly used in the video space, such as c#/golang/C++/Rust/Python, and experience in other higher-level languages such as Node/TypeScript, React, or mobile languages like Kotlin or Swift. * Familiarity with mobile video broadcasting of user-generated content and the challenges of optimizing streaming quality and reliability across a variety of devices and network conditions. * Hands-on experience with one or more video players. * Experience designing/building/connecting internal APIs/SDKs across the stack (backend to front end) to ensure rapid feature development. * Willingness to mentor/train/work with other teams through documentation and live sessions on the best way to accomplish building features using the system we build/own. * Front end development experience in web, iOS (Swift), or Android (Kotlin) required. * Experience building and supporting scalable video pipelines in cloud environments is a huge plus. We use AWS but any cloud/container experience is fine. * Proficiency in CI/CD tools (Jenkins, GitLab, etc.) Who You Are: * Experience creating detailed technical documentation that details how to break down complex projects and technical details for team members of varying expertise. * Comfortable working across multiple technologies, programming languages, and areas of the video stack. * Able to effectively collaborate within your own and other technical teams. * Someone who has experience learning the latest tech in the mobile and live streaming spaces. Perks: * Work remotely throughout the US* or from our well-furnished, modern office in Manhattan, NY. * Unlimited vacation policy. * Paid volunteer opportunities. * Technology stipend - $4,000 every 2 years after your start to make sure you have the latest and greatest technology * WFH stipend - $500 annually to make your WFH situation comfortable. * Learning stipend - $500 annually towards continued development * Monthly physical, mental, wellness & learning stipend offered through Holisticly * Monthly lifestyle stipend offered through Fringe * Full health benefits - medical, dental, vision, prescription, FSA, HRA, HSA, and coverage for family/dependents. * Family building benefits offered through Progyny * Life insurance - basic life, supplemental life, and dependent life. * Disability leave - short-term disability and long-term disability. * Retirement savings - Traditional and Roth 401K plans are offered through Vanguard, with an immediate company match. * Generous parental leave. * DICK’S Sporting Goods & their family of brands teammate discount. The target salary range for this position is between $160,000 and $200,000. This is part of a total compensation package that includes incentive, equity, and benefits for eligible roles. Individual pay may vary from the target range and is determined by several factors including experience, internal pay equity, and other relevant business considerations. We constantly review all teammate pay to ensure a great compensation package that is fair and equal across the board. *DICK'S Sporting Goods has company-wide practices to monitor and protect us from compliance and monetary implications as it pertains to employer state tax liabilities. Due to said guidelines put in place, we are unable to hire in AK, DE, HI, IA, LA, MS, MT, OK, and SC. We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. IMPORTANT NOTICE: All official recruitment communications from GameChanger will come from an email address ending in @___ or . If you receive communication from any other domain, please be cautious, as it is likely fraudulent.

Noetica is solving critical NLP problems at the heart of the trillion-dollar capital markets ecosystem with an in-house machine learning platform and decades of ML PhD expertise. Founded in 2022 and based in New York, our high-caliber team is dedicated to bringing innovation and efficiency to legal and financial industries. We count many of the___ in the world among our customers. To date we have raised ~$30M with our last round (Series A) led by Lightspeed. We're fortunate to have been covered by Matt Levine,, amongst others, and named a top AI company 2024 and 2025 by Business Insider, CB Insights, and others. The global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms. As a Senior Software Engineer, Full Stack at Noetica, you'll be a key architect and builder of a best-in-class document-centric web experience and the design system to power and extend it. You will collaborate with a talented team of ML PhDs, legal SMEs, and market strategists to design, build, and maintain best-in-class product experiences. You'll explore alternative rendering strategies and key framework decisions that will influence the long-term technical direction of our frontend systems. Without your expertise, our platform risks becoming cumbersome and difficult to navigate as our data-rich feature set grows. Your role will directly impact how users engage with Noetica, ensuring we deliver an unparalleled product experience. As a Senior Software Engineer, Full Stack at Noetica, you will: * Architect and own a design system that streamlines development and enables consistency across the platform * Write maintainable, high-performance core components and services as you deliver features end to end, backend to frontend * Explore alternative rendering strategies to optimize the performance of data-rich applications with significant DOM manipulation * Make key framework decisions to ensure that our frontend stack remains high-performing and flexible as our platform evolves * Define clear, efficient API contracts to optimize communication and performance * Uphold and debate code practices and design patterns to ensure long-term maintainability and performance * Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience) * 4+ years of professional full-stack development experience, with a strong focus on frontend architecture * Proficiency in TypeScript and React * Direct experience envisioning and implementing design systems and developing reusable component libraries * Strong foundation in state management, event-driven systems, and web fundamentals * Experience with backend technologies (Node.js, Python, or Go) and API design * Familiarity with containerization and orchestration platforms (Docker, Kubernetes) and hyperscalers (AWS, GCP, etc.) * Strong communication and collaboration skills * Self-starting problem-solving approach biased towards action and scope minimization * Experience exploring alternative rendering strategies and optimizing frontend performance in data-intensive applications * Experience working in single-tenant architectures and strong grasp of CI/CD fundamentals * Well-versed in object-oriented design and familiar with functional programming principles * Interest in language and economics * Thrive in a high-leverage, fast-paced environment The reasonably estimated yearly salary for this role is $180,000-$220,000 USD. You will also be entitled to receive a significant early stage equity package and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. We offer numerous employee benefits, including: * Hybrid in-office schedule * Amazing office location next to Bryant Park/Grand Central * 401(k) retirement plan * Wellhub (Gympass) fitness membership * Unlimited PTO * Unlimited sick days * Medical, dental, and vision insurance * Company offsites * Commuter benefits We are an equal opportunity employer. We search for amazing people of diverse backgrounds, experiences, abilities, and perspectives. We take care of each other to create an inclusive work environment where we love to come to work every day. We'd be happy to provide reasonable accommodations to help you apply—just email us at . We hope you can join us.

OUR COMPANY Founded in 1998 United Legwear & Apparel Co. (ULAC) is a global designer, manufacturer and distributor of socks, legwear, sportswear, bodywear, and accessories. As one of the leading resources in the industry, ULAC offers a full range of apparel, from newborn/toddler sizes through teens and adults, thanks to our partnership with Puma and licensing agreements with renowned brands such as Hurley, Skechers, Champion, Van Heusen, Weatherproof, just to name a few. OUR TEAM United Legwear & Apparel Co. has assembled a team of experienced professionals with like priorities all working together to make the company the very best in the business. Whether in sales, finance, planning, licensing, or shipping, the goal is always customer satisfaction and superior product. INNOVATION, DESIGN AND MERCHANDISING Our design and merchandising teams have expertise in identifying emerging trends, fashions, and consumer desires. We also understand the essence of a brand and translate each brand’s DNA while creating apparel and accessories with the most advanced fabrics and yarns and designing items for sport/performance needs and lifestyle. It is the company goal to deliver the best quality goods and the most innovative products within a category. ABOUT US The company as a whole works at a very fast pace. We thrive in an environment filled with tight deadlines, collaboration and camaraderie. The entire company is very tight knit. While we value sharp minds and professionalism, we like to surround ourselves with people who have a quirky sense of humor, and who understand what it means to be confident yet humble. We know how to get things done and have fun at the same time, and are looking for someone who can do the same. Job Summary United Legwear is looking for a Software Developer who will be responsible for using their knowledge of programming languages to design software programs. Their duties include meeting with clients to determine their software needs, coding and testing software to ensure functionality and updating software programs to refine components like cybersecurity measures and data storage capacities. Essential Functions( Including but not limited to) • Collaborating with management, departments and customers to identify end-user requirements and specifications, • Designing algorithms and flowcharts to create new software programs and systems, • Producing efficient and elegant code based on requirements, • Testing and deploying programs and applications, • Troubleshooting, debugging, maintaining and improving existing software, • Compiling and assessing user feedback to improve software performance, • Observing user feedback to recommend improvements to existing software products, • Developing technical documentation to guide future software development projectsQualifications/ Requirements:, • Bachelor’s or Master’s degree in Computer Science or a related field, • 3+ years of experience in mobile application and game development, • Proficiency in popular coding languages including Python, Java and C++ and frameworks or systems such as AngularJS and Git, • Excellent knowledge of the software development life cycle, • Strong problem-solving and communication skills, • Knowledge of Object-Relational Mapping frameworks, • Experience with Agile and Scrum development methodologies, • Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch), • Knowledge of machine learning concepts and algorithms, • Previous projects showcasing the integration of AI techniques into software development processes, • Knowledge of different software programs, • Familiarity with agile software development methodologies, • Interest in new technologies relating to mobile devices and computer systems, • Three years of experience in software solutions and a thorough understanding of the software development life cyclePhysical Demands and Working Conditions: The physical demands and working conditions of this position are representative of what must be met to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable an individual with disabilities to perform the essential functions. The functions of this position are typically performed in an office setting and the noise level in the work environment is usually quiet to moderate. While performing the duties of this position, the employee is regularly required to sit for long periods of time; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to walk. The employee may be occasionally required to stand and stoop, kneel, crouch, or crawl. The employee must be able to lift and/or move up to 25 pounds. Specific vision abilities required by this position include close vision and distance vision. General Acknowledgement & Employment At-Will: Employment in this position requires adherence to all policies and procedures set forth by United Legwear & Apparel Company. This position description is not an exhaustive list of all duties and responsibilities of the position, is not a contract and is subject to change at any time, with or without notice, by the employer. Furthermore, all employees are employed at-will with United Legwear & Apparel Company and are employed for no definite period of time and employment may be terminated without cause or notice. Salary Range: $67,000-92,000 Workplace Type: On-site *United Legwear & Apparel Company is interested in every qualified candidate who is eligible to work in the United States. However, we do not currently sponsor visas. Also, please note that United Legwear & Apparel Company has partnered with USCIS and participates in their E-Verify program.

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering.Born out of numerical physics and proven in Formula One, we help our cus

The team is composed of machine learning engineers, data and backend engineers, and subject matter experts who can drive product exploration and development initiatives to convert deep insights about our Spotify catalogs into engaging product offerings. Drive the conceptualization and development of

Noetica is solving critical NLP problems at the heart of the trillion-dollar capital markets ecosystem with an in-house machine learning platform and decades of ML PhD expertise. Founded in 2022 and based in New York, our high-caliber team is dedicated to bringing innovation and efficiency to legal and financial industries. We count many of the___ in the world among our customers. To date we have raised ~$30M with our last round (Series A) led by Lightspeed. We're fortunate to have been covered by , and___, amongst others, and named a top AI company 2024 and 2025 by Business Insider, CB Insights, and others. The global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms. We're looking to expand our product team to work closely with our data engineering and machine learning research teams. We need someone who can own day-to-day product execution and build new processes to manage cross-team dependencies for a critical part of our value stack. We're seeking someone who can hit the ground running and take ownership of complex technical products. * Customer Advocacy & Research: Serve as the voice of the customer for data and ML initiatives, conducting user research and translating insights into product requirements * Strategic Planning: Partner with product and engineering leadership to define and maintain technical roadmaps that align with business objectives * Project Leadership: Take full ownership of complex technical projects, driving them from conception to completion with minimal oversight while managing risks and dependencies * Technical Collaboration: Work closely with engineering teams to understand technical constraints, participate in architectural discussions, and write detailed technical specifications * Stakeholder Communication: Translate complex technical concepts for non-technical stakeholders and facilitate alignment across cross-functional teams * Data-Driven Decision Making: Use analytics and user feedback to make informed decisions about product priorities, trade-offs, and resource allocation * 3+ years of product management experience, preferably with data or ML products * Strong understanding of software development lifecycle and engineering practices * Experience writing technical requirements and working closely with engineering teams * Basic knowledge of APIs, databases, and mobile/web technologies * Experience working in fast-paced, high-growth environments * Willingness to help out beyond traditional PM responsibilities when needed * Background in technical roles (engineering, data analysis, etc.) prior to product management * Experience managing products that serve both internal and external users * Familiarity with modern development tools and practices (Git, CI/CD, etc.) * Experience building B2B products * Ability to write SQL queries, basic scripting, LLM prompting The reasonably estimated yearly salary for this role is $140,000-$186,000 USD. You will also be entitled to receive a significant early stage equity package and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. We offer numerous employee benefits, including: * Hybrid in-office schedule * Amazing office location next to Bryant Park/Grand Central * 401(k) retirement plan * Wellhub (Gympass) fitness membership * Unlimited PTO * Unlimited sick days * Medical, dental, and vision insurance * Company offsites * Commuter benefits We are an equal opportunity employer. We search for amazing people of diverse backgrounds, experiences, abilities, and perspectives. We take care of each other to create an inclusive work environment where we love to come to work every day. We'd be happy to provide reasonable accommodations to help you apply—just email us at . We hope you can join us.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Backend Engineer to join the Rewards team in the Personalized Strategic Programming (PSP) PA - an area of hardworking engineers that are passionate about understanding what drives users’ mid and longer-term satisfaction with Spotify, and who make impactful changes to recommendation systems to achieve this goal. To date, we have productized our algorithms with Home Ranking, Search, Home Podcasts, and Home Music, and look forward to continuing to work with these teams in the next cycle, as well as develop new algorithms and signals (“rewards”) for our goals. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping, scaling, and productizing state-of-the-art ML at the intersection of recommendations and longer term user satisfaction. \n What You'll Do • Collaborate with key internal stakeholders to determine how to design backend systems and APIs to meet their scalable needs, • Architect, develop, and operate Java services deployed to millions of users, • Leverage Spotify’s many data sets to create awesome recommendations, • Be a technical leader and valued contributor in an autonomous, cross-functional agile team, • Collaborate with other engineers, product owners, and designers to identify and solve challenging problems, improving the recommendation quality of users worldwide, • Be a leader of the Spotify-wide backend developer community affecting and driving our architecture across the company, • Work on what you want during regular hack days and bi-annual hack weeks Who You Are • You have experience working directly with stakeholders to understand, document and develop APIs and systems to meet their requirements, driving increased adoption and reducing reliance on custom one-off implementations, • You have experience writing distributed, high-volume services and know how to deploy, monitor, and keep them running in production, especially in the context of machine learning algorithms, • You have interest in big data and machine learning systems, • You love working in an environment where you constantly experiment and iterate quickly, • You believe data is the most powerful tool for informed decision-making, • You have a deep understanding of system design, data structures, and algorithms, • You care about quality and you know what it means to ship high quality code Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have, • This team operates within the Eastern Standard time zone for collaboration. \n The United States base range for this position is $122,716- $175,308 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you. As an early member of Charlie Health’s Engineering Team, you will play a big part in building our applications from the ground up. We’re looking for someone who enjoys partnering closely with the rest of the product development team to make durable contributions and technical decisions as we race toward product launches. You’ll thrive here if you find greenfield work energizing, have a high quality bar, and prefer to iterate to success. Our team is composed of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. We are looking for a candidate who is inspired by our mission and excited by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way. Responsibilities • Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL, • Set strong patterns for our growing team to follow, • Lead, mentor, and inspire a cross-functional team of software engineers, driving the design, development, and delivery of high-quality software solutions while fostering a culture of collaboration, innovation, and continuous improvement., • Leverage AI and Machine Learning to enhance client and clinician-facing tools, transforming them into an industry-leading platform that empowers clients to take ownership of their mental health journey while driving measurable clinical outcomes., • Be an owner. Collaborate with Product, Design, other stakeholders, and across Engineering to align and iterate to top notch product solutions, • Work on mission-critical features to engage potential clients and connect them with life-saving mental health care., • Own and evolve engineering processes at the team level to align with org-wide practices. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work., • Ensure our clients can always access the care they need by participating in our on-call rotation. Requirements • At least 7 years of professional experience developing user facing web or mobile applications that deliver meaningful business value, • Expertise and hands on production experience with an application programming language, preferably Python, • Excellent at managing ambiguity. Masterful ability to break down big, messy problems (demanding requirements, bugs, etc) into smaller parts with tractable solutions and clear iterations, • Meaningful scope within an application engineering team. Experience making or contributing to important technical tradeoff decisions with cross team implications, • Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth, • Please note: candidates located within 75 minutes commuting distance of our NYC office are expected to come to the office Monday through Thursday and Fridays are remote Charlie Health is pleased to offer comprehensive benefits to all full-time employees. Read more about our benefits ___.#LI-Remote Additional Information The total target base compensation for this role will be between $185,000-$235,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don’t give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

An early-stage open-source platform is building the feedback loop that powers smarter, faster, and more efficient large language model (LLM) applications turning real-world data into continuous improvements. What we're building: • A unified model gateway for inference, • Seamless collection of metrics and feedback, • Optimization tools for prompts, models, and inference strategies, • Native experimentation and fallback support, • Inference: One API to manage all LLMs with minimal latency overhead, • Observability: Inference data and user feedback fed directly into your systems, • Optimization: From prompt engineering to fine-tuning and reinforcement learning Why not just engineer? We encourage cross-functional ownership combining product thinking, research instincts, and technical craftsmanship. While we need help building user-facing tools now, the opportunity exists to contribute across the entire stack over time. Your first major project would likely be developing an open-source UI something like the console that ties everything together, making it easy for users to visualize and control model behavior, experimentation, and optimizations. We already collect plenty of observability data, but its waiting for the right person to design and build intuitive, delightful interfaces for it. • Highly competitive compensation (salary, equity, and benefits), • The chance for your work to be open-source and highly visible, • Freedom to expand your skills into new areas whether infrastructure, machine learning, or beyond, • A small, focused, in-person environment where technical quality and craftsmanship matter, • Backing from world-class investors with a track record in AI, infrastructure, and developer tools, • A strong technical foundation with the ability to lead and ship large projects (starting with the observability dashboard), • Passion for building interfaces that not only work but truly delight developers, • Front-end engineering experience we're currently experimenting with Remix and Tailwind but need dedicated expertise (especially in React), • Eagerness to learn and contribute across domains, • Willingness to work in person, five days a week, in New York City SO

Unify was founded January 17th, 2023 by Austin Hughes and Connor Heggie. Prior to Unify, Austin led Ramp’s growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at Scale AI. The rest of our team comes from companies like Airbnb, Spotify, Gusto and Retool. Our mission is to build the first system-of-action for go-to-market teams, starting with an end to end platform powering warm outbound. Today, outbound sales is dominated by cold, mass outreach that floods people's inboxes and converts to deals at a tiny rate. We’re building a platform to power warm outbound, allowing go-to-market teams to get in touch with the right people at the exact time they’re looking for a solution. We've grown revenue 39x year-over-year, and are already serving customers like Perplexity, Guru, ___, Flock Safety, Hightouch and more. We’re a high energy, high intensity team and we’ve raised $19M from Thrive, Emergence, OpenAI and others. Come join us in changing how go-to-market works. We are seeking an experience Product Manager to scale Unify’s product offerings. You will use a blend of strategic thinking and hands-on execution. You will partner with and anticipate the needs of our ICP customers. You will conceive and build new 0 → 1 AI products and iterate on our core signal-based outbound feature set. You will collaborate with a world class design, engineering, growth, and sales team. This position is based in San Francisco, CA. We are primarily in office, with 4 days in the office per week. * Make Unify more powerful and easier to use. * Launch new agentic workflows to sales and marketing teams. * Execute and iterate on new features rapidly. * Define and track success metrics for quality and performance. * Partner with senior leadership on roadmap and strategy. * 5+ years of experience in product management or founding a startup. * Strong understanding of user interface (UI) and user experience (UX) principles and best practices * Technical curiosity with large scale data platforms and machine learning. * Strong written and verbal communication across business, design, and engineering audiences. * Demonstrated experience leading company-wide initiatives influencing technical roadmaps This a salaried position with a target equity package and comprehensive benefits, including medical, dental, vision, and 401(k) options. This position is onsite in either San Francisco, CA, or New York City, NY, offering the invaluable opportunity to work closely with a talented team in a dynamic, high-energy environment. Being in-person enables real-time collaboration, fosters creative problem-solving, and strengthens the connections that drive innovation and impact. You'll be at the center of our fast-paced operations, contributing to a culture that values engagement, growth, and teamwork. $150K – $210K + Equity

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our Network Enablement and Access (NEA) team’s mission is to unlock the potential of the Plaid network by broadening and deepening our connection to data partners. We do this by providing solutions that allow our data partners to be part of the network and by providing best in class connections. By expanding and improving our connections to data providers, we are able to strengthen the Plaid network while also enabling great products and experiences. The Key Access team is directly responsible for maintaining access to thousands of these data partners. As the Product Manager for our Key Access team, you will drive three critical initiatives. First, you will lead AI Capability Development for Integration Efficiency by collaborating with engineering, machine learning, and product stakeholders to create AI-driven tools that autonomously build and repair integrations, improving reliability and reducing manual intervention. Second, you will oversee our Integration Control Tower Development—a centralized platform providing real-time visibility into the status, health, and performance of financial institution integrations. You will gather insights, prioritize enhancements, and ensure this control tower becomes an essential resource for internal teams. Finally, you will conduct New Coverage Opportunity Analysis, prioritizing integration opportunities based on customer feedback and market trends, working cross-functionally to evaluate ROI, and guiding the roadmap to expand integration capabilities. \n Responsibilities • Define the long term strategy and roadmap for Key Access, balancing the needs of our internal stakeholders with those of our customers, • Collaborate with internal product teams to identify common opportunities to accelerate goals, • Drive business impact by deeply understanding and addressing customer needs and those of our data partners, both directly and by working with our customer facing teams (GTM / Product), • Define how we measure success of our products and features Qualifications • 5+ years of product management experience, preferably at a platform and/or fintech company, • Technical proficiency with APIs, • Demonstrated ability to make data driven decisions, • Demonstrated ability to drive outcomes within matrixed organizations in order to hit goals, • Ability to work across large number of stakeholders and push projects forward across multiple teams, • [Nice to have] Experience with AI/ML product development \n$162,000 - $243,000 a yearTarget base salary for this role is between $162,000 and $243,000 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. \n Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at . Please review our Candidate Privacy Notice ___.

you.com is an AI-powered search and productivity platform designed to empower users with personalized, efficient, and trustworthy search experiences. As a cutting-edge technology company, we combine advanced AI models with user-first principles to deliver tools that enhance discovery, creativity, and productivity. At you.com, we are on a mission to create the most helpful search engine in the world—one that prioritizes transparency, privacy, and user control. We’re building a team of innovators, problem-solvers, and visionaries who are passionate about shaping the future of AI and technology. At you.com, you’ll have the opportunity to work on impactful projects, collaborate with some of the brightest minds in the industry, and grow your career in an environment that values creativity, diversity, and curiosity. If you’re ready to make a difference and help us revolutionize the way people search and work, we’d love to have you join us! About the role: We are looking to add an experienced Product Lead to drive our Core AI team. This team plays a critical role at ___: from developing innovative AI experiences that help users engage with AI capabilities intuitively, to crafting and executing product strategies that leverage the latest advancements in AI technology. This role is fundamental to keeping ___ at the cutting edge of AI technology and ensuring we have exceptional AI capabilities to drive customer success. The ideal candidate will possess deep technical and analytical expertise, combined with strong experience in end-to-end product development and design, ideally in a startup environment. • Define and drive the vision, strategy, and roadmap for our AI initiatives focusing on: user-centric AI experiences, AI Quality, LLM strategies, and product innovation – ensuring alignment with company goals and market needs., • Lead the end-to-end product development lifecycle from ideation and design to development and launch, ensuring timely and high-quality delivery of user-focused products., • Conduct competitive research to understand the latest trends in the AI space and determine the impact to ___’s user experience and internal roadmap., • Combine internal benchmarks, industry benchmarks, and customer research to identify needs, deficiencies, market trends, and competitive landscape to inform the overall AI team product strategy., • Work closely with engineering, sales, marketing, and customer success teams to ensure seamless product development and execution that prioritizes user satisfaction., • Utilize your technical background to make informed decisions about product architecture, technology stacks, and integration strategies, with a focus on enhancing user experience., • Define and track key performance indicators (KPIs) to drive continuous improvement in user engagement and satisfaction., • Experience: 10+ years of experience in product management, with a focus on AI/ML-augmented product development. Knowledge of AI/ML/Search quality eval background is a plus., • Startup Experience: Proven track record of driving success as a PM in a startup or equivalent hyper growth environment, • Technical Expertise: Strong background in product development, machine learning or artificial intelligence, with a solid understanding of LLMs and their integration into products., • Leadership: Demonstrated experience in leading product teams as an IC, with a strong ability to influence and inspire cross-functional teams., • Analytical Skills: Exceptional analytical and problem-solving skills, with the ability to make data-driven decisions., • Communication: Excellent communication and presentation skills, with the ability to articulate complex technical ideas clearly and persuasively to a variety of audiences., • Self-starter: Highly motivated, high energy, with a proactive attitude to continue to build a solid foundation for this team., • Collaborative: Team player who thrives in a fast-paced, dynamic environment., • Education: Equivalent experience or relevant coursework to a bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. An advanced degree is a plus. Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations. Salary Band $200,000 - $260,000 USD Company Perks: * Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions * Flexible PTO with 11 U.S. holidays observed and a week shutdown in December to rest and recharge* * A competitive health insurance plan covers 100% of the policyholder and 75% for dependents* * 12 weeks of paid parental leave in the US* * 401k program, 3% match - vested immediately!* * $500 work-from-home stipend to be used up to a year of your start date* * $1,200 per year Health & Wellness Allowance to support your personal goals* * Chance to collaborate with a team at the forefront of AI research *Certain perks and benefits are limited to full-time employees only ___ is an E-Verify employer. We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.

Who We Are At Moxxi, we’re redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we’re building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We’re passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you’ll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. As a Staff Software Engineer at Moxxi, you’ll be a key driver in scaling our performance marketing platform and shaping the long-term technical vision of our ad delivery and optimization systems. You will lead complex initiatives across multiple domains from building resilient backend infrastructure and intelligent APIs to integrating ML driven campaign systems and rethinking marketer tooling. Operating as a senior individual contributor, you’ll partner with cross-functional stakeholders, mentor other engineers, and make architecture decisions that define the future of Moxxi’s core platform. You’ll help us evolve our Ads infrastructure to support real-time personalization, performance tuning at scale, and rich experimentation frameworks. This role is ideal for engineers who enjoy solving deep technical challenges with direct business impact, who can bring clarity to ambiguity, and who are passionate about growing both systems and people. • Architect, develop and maintain scalable and resilient backend systems powering our CMS, AdServer, CMS, CRM, and optimization pipelines., • Build reusable UI components and responsive interfaces that allow marketers to manage, launch, and analyze campaigns with ease., • Build high-performance APIs and services that integrate with internal platforms and external ad ecosystems., • Partner with the Account Managers and Operations team to productionize models that drive ad personalization, budget pacing, and bid optimization., • Design and evolve real-time and batch data pipelines that support campaign analytics, attribution, and experimentation at scale., • Lead cross-functional collaboration with product, design, and business teams to translate requirements into robust software solutions., • Ensure system observability, operational excellence, and uptime across critical infrastructure components., • Mentor junior engineers and contribute to a culture of clean, maintainable, and well-documented code., • Drive technical planning and contribute to the evolution of our platform strategy and long-term architectural vision., • Stay up to date with industry trends in advertising technology, distributed systems, and machine learning and bring relevant innovations into the team., • Take ownership of major initiatives and continuously identify opportunities to improve performance, scalability, and developer experience., • 10+ years of professional experience designing and delivering production-grade software systems., • Proven success architecting distributed systems and backend services in high-scale environments., • Strong fluency in Go (Golang) and experience building services using microservice architectures., • Deep knowledge of APIs, cloud-native infrastructure (e.g. GCP, BigQuery, Cloud Run), and data engineering patterns., • Hands-on experience with real-time systems, streaming data (e.g. Pub/Sub, Kafka), and event-based architectures., • Passion for performance marketing, experimentation frameworks, and measurable impact., • Outstanding communication skills, including the ability to influence stakeholders and lead through ambiguity., • Experience in the AdTech ecosystem (e.g., RTB systems, campaign management, creative tooling)., • Prior ownership of infrastructure at scale, including observability, cost optimization, and compliance (e.g. GDPR, CCPA)., • Knowledge of caching systems (Redis, Memcached), Infrastructure as Code (Terraform), and container orchestration (Docker, Kubernetes)., • Exposure to non-relational databases (e.g., BigTable, DynamoDB) and caching systems such as Redis or Memcached., • Master’s degree in Computer Science, Engineering, or a related technical field., • Familiarity with Ads infrastructure standards, • Proficiency in TypeScript, with experience in frontend frameworks such as React or Angular, and building APIs or server-side logic with TypeScript (e.g., Node.js)., • Prior work on cost optimization, performance tuning, or infrastructure efficiency at scale., • Familiarity with AI/ML-powered ad optimizations, A/B testing frameworks, or campaign experimentation systems., • Demonstrated impact as a Staff, Principal, or Area Tech Lead in a fast-paced, product-focused company., • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range $195,000 - $270,000 USD

TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluations, and experimentation. See our ___ to learn more. Our ultimate goal is to enable LLM applications to learn from real-world experience. The current offering is the first step towards that vision: it enables a feedback loop for optimizing LLM applications, turning production data into smarter, faster, and cheaper models. There are engineering teams building with TensorZero in all sorts of industries: healthcare, finance, recruiting, developer tools, consumer, etc. Here's a case study: ___ Here's a case study: Our technical team includes a former Rust compiler maintainer, machine learning researchers (Stanford, CMU, Oxford, Columbia) with thousands of citations, and the chief product officer of a decacorn startup. We’re backed by the same investors as leading open-source projects (e.g. ClickHouse, CockroachDB) and AI labs (e.g. OpenAI, Anthropic). We’re lucky to have years of runway, giving us the flexibility to fully focus on open source for now with an ambitious long-term vision. We are looking for a Founding Member of Technical Staff with a background in design engineering. The vast majority of your work will be open source. You’ll have an opportunity to continue to master your current skills with the flexibility to learn new ones from scratch. You can learn more about our technical roadmap and vision ___. As a preview, if you joined today, you'd take on our open-source UI that helps engineers manage the entire TensorZero operation — think of it like the AWS Console for TensorZero. The UI streamlines workflows for observability, optimization (e.g. fine-tuning), evaluations, and more. We’re a small technical team based in NYC (in person). As an early contributor, you’ll work closely with us and have a significant impact on the project’s future and vision. * Viraj Mehta (Co-Founder & CTO) is an ML researcher with deep expertise in reinforcement learning, generative modeling, and LLMs. He received a PhD from CMU with an emphasis on data-efficient RL for nuclear fusion and LLMs, and previously worked in machine learning at KKR and a fintech startup. He holds a BS in math and an MS in computer science from Stanford. * Gabriel Bianconi (Co-Founder & CEO) was the chief product officer at Ondo Finance ($20B+ valuation) and previously spent years consulting on machine learning for companies ranging from early-stage tech startups to some of the largest financial firms. He holds BS and MS degrees in computer science from Stanford. * Aaron Hill (MTS) is a back-end engineer with deep expertise in Rust. He became one of the maintainers of the Rust compiler… while still in college. Later, he worked on back-end infrastructure at AWS and Svix. He’s also an active contributor to many notable open-source Rust projects (e.g. Ruffle). * Andrew Jesson (MTS) is an ML researcher with deep expertise in Bayesian ML, causal inference, RL, and LLMs. He recently completed a postdoc at Columbia and previously received a PhD from Oxford, during which he interned at Meta. He has 3.3k+ citations and several first-author papers at NeurIPS and other top ML venues. * Kincaid O’Neil (MTS) is a full-stack engineer who previously founded Gathers, a consumer social startup that curated intimate in-person experiences. Before that, he built open-source payments infrastructure for the Interledger Protocol and worked at Coil, Ripple, and Kava. * █████ (incoming MTS) is an ML researcher with a background in causal inference, sequential decision making, uncertainty quantification, and algorithmic fairness (1.2k+ citations). Previously, he was an AI Research Lead at █████ and received a PhD in Statistics from CMU, during which he interned at █████ and █████. * _____ You? * Competitive compensation — We believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup. * Open-source contributions — The vast majority of your work will be open-source and public. * Learning and growth opportunities — You’ll join with a background in design engineering but will have the opportunity (& be encouraged) to expand your skill set way beyond that (curious about ML?). * Small, technical, in-person team — You’ll work alongside a 100% technical team and help shape our vision, culture, and engineering practices. * Best-in-class investors — We’re lucky to be backed by leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We have years of runway and a long-term mindset. * Strong design background — You’ve tackled hard design problems. You’re comfortable driving large projects from inception to deployment, from Figma to React. * Not afraid to code — You're excited to design in Figma, create prototypes, and ship PRs touching the UI. * Passionate about your craft & design — You're excited about the idea of re-thinking developer tooling from first principles to build interfaces and workflows that don't just work but also delight. * Hungry for personal growth — There are no speed limits at TensorZero. You’re excited about learning and contributing across the stack. * In-person in NYC — We work in-person five days a week in NYC. We work hard and obsess about the craft – but maintain and encourage a healthy lifestyle with a long-term mindset. You can find us on Github: ___ You can find us on Github:

Our Growth and Transformation team (RVGT) is looking for a Group Data Science Product Manager to drive the development of AI/ML-powered digital products that enhance customer acquisition, engagement, and retention. RVGT partners with Fortune 500 companies to create data-driven solutions that transform the way they operate—leaving behind cutting-edge technology, scalable infrastructure, and new ways of working. Our teams leverage machine learning and AI to leverage rich customer data and inform every step of the customer journey. We partner closely with our clients, across a number of different industries, to develop applications that will impact how we produce media, personalize our site experience, converse with our customers, and add intelligence into our digital buy-flows. In this role, you will have the opportunity to own the digital customer experience for one of our partners end-to-end. You will be responsible for establishing the strategy for all digital touchpoints we have with a customer across website, email, and in some instances mobile app. You’ll have full autonomy to build roadmaps and KPIs for the channels you own, and be accountable for driving growth against your KPIs by utilizing advanced ML concepts to create personalized user journeys. We expect our Group Data Science Product Managers to be hands-on technically, both in how they leverage data to identify opportunities and leverage the team’s ML/AI solutions to drive business value and usage. We are looking for individuals who have experience in a player/coach role that requires hands-on involvement and execution through a team. This role will have a high level of visibility across the division. You will be the point-person for a key part of one of our largest partnerships with multiple senior stakeholders. Your contribution to the organization will be multifaceted – we are looking for someone who has a strong data foundation, can effectively collaborate with their development team, and can influence business decisions using their expertise and communication skills. This position is based in our South Charlotte, NC or NYC office on a hybrid schedule. What You'll Do: • Operate as an owner utilizing data and a deep understanding of our users to identify areas to optimize and to develop solutions that enhance the experience, user engagement and performance of the digital channels., • Leverage your understanding of ML and AI concepts to inform the product strategy for solutions that will enable your channel experiences., • Translate high-level objectives into detailed technical deliverables, and manage projects to completion through your team of product managers and analysts, in collaboration with engineering, creative & data science teams., • Produce in-depth analyses that get to the heart of what our consumers are doing and inform the experiences they are looking for., • Identify optimal uses of our core capabilities and products to create business value within your area of focus., • Generate a rapid testing strategy that allows our team to give world-class experiences and learn quickly., • Impact overall customer value through personalized experience delivery across customer acquisition and retention efforts through data-informed, ML-driven strategies., • Lead a team of product managers and analysts. Who You Are: • You have an entrepreneurial mindset with strong business acumen and are capable of coming up with data-driven ideas to create value for consumers and business partners., • You have a strong technical and data foundation that enables you to communicate effectively with technical stakeholders, including an understanding of relevant predictive algorithms., • You are results-oriented. You can guide a team to focus on the activities that will drive the largest lift to targeted metrics. What We're Looking For: • Experience owning in-depth analyses on customer or click-stream data to understand trends and develop testing hypotheses., • Experience leading a team of product managers, analysts and/or data scientists., • Demonstrated ability to drive business decisions and behavior changes through machine learning and advanced analytics capabilities., • Demonstrated ability to help identify areas of opportunity where ML/AI could be applied and experience contributing to the creation of the final product - either hands-on or in a product management capacity., • Demonstrated experience in data-related programming languages (e.g. SQL, Python, or R). Compensation Cash Compensation Range: $185,000-240,000 + potential equity *NYC Compensation Range: $230,000-300,000 + potential equity *Note actual salary is based on geographic location, qualifications, and experience. Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. • Health Insurance Coverage (medical, dental, and vision), • Life Insurance, • Short and Long-Term Disability Insurance, • Flexible Spending Accounts, • Paid Time Off, • Holiday Pay, • 401(k) with match, • Employee Assistance Program, • Paid Parental Bonding Benefit Program #LI-HYBRID #LI-KS1 Click here for more details regarding the employee privacy policy: ___ Questions about this Privacy Notice can be directed to ___. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

Join Home PZN and play a pivotal role in shaping the technical vision and architecture of core backend systems that power the Spotify Home page. You’ll work on foundational components that enable the larger Home experience, such as Home Config and Home’s Experimentation strategy. You’ll collaborate with engineering peers to rethink the design of systems that were created years ago, determining how to adapt them to meet the needs of the gen recs, agents and overall better Home experience for Spotify users. This is a staff-level individual contributor role, offering the opportunity to shape the direction of Home loading paradigms, page serving, content filtering and content storage. • Partner closely with Experimentation Platform, Surface Insights, CoreX and Home PZN teams to create an experimentation strategy that takes Home’s online evaluation practices to the next level., • Build relationships with Staff+ engineers across PZN and Experience missions in order to identify both problems and opportunities that are preventing product innovation, • Create Home Experimentation strategies to ensure trustworthy online evaluations for our stakeholders (all teams that run tests on home), • Innovate in Home’s dynamic configuration methodology for both experiment variants and home baseline product experience., • Support all teams within Home Foundations – Nexus, Home Content Journey and HEAT – in their system and backend engineering needs., • Identify tooling that can dramatically improve home recs explainability, debugging and reliability., • Mentor backend engineers and influence technical strategy by setting high standards in methodology, reproducibility, and collaboration., • Prototype new approaches and productionize solutions for Home experiences., • You’re a current Staff Engineer who has been operating at this level for 1+ years, consistently taking on responsibilities aligned with the role, • You have extensive experience in designing system architectures that include machine learning models as key components in enabling the product experiences., • You’re comfortable debugging experiment configurations from an engineering enablement and experimental design perspective while also able to lean into statistical concepts such as confidence intervals, p-values and power., • You have familiarity with different types of experiment setups: isolated vs. overlapping experiments, interaction effects, and holdout strategies, • You’re able to understand end to end system architectures that include machine learning models to enable the larger product, • You have a strong bias to action by building MVPs, prototypes and illustrating ideas through concise documents to drive initiatives forward., • Accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk, • Demonstrated success leading technical initiatives and shaping strategic directions through cross-functional collaboration., • Excellent communication skills and stakeholder management abilities; comfortable operating at the intersection of science and engineering., • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have

About Kustomer Kustomer is the industry leading conversational CRM platform perfecting every customer experience. Built with intelligent tools such as AI and Automation, no code-configuration and a connected data platform that unifies data from multiple sources through a single timeline, Kustomer empowers businesses to operate with greater efficiency and deliver more personalized service to customers across any channel, making every interaction more meaningful and memorable. Today, Kustomer is the core platform for some of the leading customer service brands like Ring, Glovo, Away Travel, Priceline and Sweetgreen. Kustomer was founded in 2015 by serial entrepreneurs Brad Birnbaum and Jeremy Suriel and has raised over $200M in funding backed by leading VCs. Meta announced its intention to acquire Kustomer in 2020 and completed the transaction in 2022. Kustomer joined Meta’s Business Messaging Group to transform the way people and businesses communicate through modern messaging channels. In 2023, Kustomer spun out from Meta as a standalone company backed by original partners, Battery, Redpoint and Boldstart Ventures, who have invested $60M in capital, ensuring Kustomer’s growth and success for many years to come. Our Krew is made up of passionate and collaborative people who really care about what they do and the people they help. We look for people who are dedicated to enhancing the customer service experience for everyone involved, as it's the core of what we do. We're growing our business with no plans of slowing down. We actively seek individuals who want to learn and be challenged every day. We have also transitioned to a remote friendly company, with Krew members located throughout the U.S. coming together for Kamp Kustomer each year. About the Role As a Product Manager (Staff or Senior level) at Kustomer, you’ll be part of organizing feedback from our customers, our marketing, our sales, and our customer experience departments into a clear, well-defined product roadmap for our design and engineering teams to execute on. Your role is the nexus of our product. You will own features from end to end and be responsible for them getting to DONE. You'll be responsible for: * Product Strategy & Roadmap: Own and execute on the product strategy for multiple product domains, ensuring alignment with company goals and objectives. Develop and communicate a cohesive vision and roadmap. * Cross-Functional Collaboration: Work closely with engineering, design, marketing, and business teams to ensure successful product development, launches, and iterations. * Customer Focus and Competitive/Market Analysis: Champion customer insights by engaging directly with users and collaborating with customer success and sales teams to understand pain points and opportunities. Stay informed about market trends, competitive products, and industry developments to inform product decisions and strategy. * Execution & Delivery: Oversee the entire product development lifecycle from concept to launch, ensuring timely delivery and high-quality outcomes. * Stakeholder Management: Act as the key product liaison between senior leadership and product teams, ensuring transparency and alignment on priorities, progress, and roadblocks. * Drive Product Metrics and Success Criteria: Define success metrics for reporting features (e.g., adoption rates, customer satisfaction, usability scores), and use these insights to continuously refine and improve the user experience. * Deliver Actionable Data Visualizations: Focus on developing a suite of tools that allow users to seamlessly analyze, filter, and visualize data, with an emphasis on flexibility and ease of customization. Your qualifications: * 7+ years of experience in product management, ideally at a SAAS company * You’re comfortable having a perspective and working towards clearly defined solutions in ambiguous problem spaces. * You have an eye for elegant design and believe in “thinking for the customer.” * Ownership comes naturally to you and you like being responsible for multiple large projects. * You’re concise in your communication and can articulate complex technical concepts to people of different backgrounds. * Data Driven - you like to set goals, and measure success not by releases, but by making an impact on customers. * You’re passionate about learning, always seeking out the latest technologies and market trends. * Experience with AI and machine learning technologies, including the ability to collaborate effectively with AI engineers. * Domain knowledge of Customer Experience / Customer Support / CRM is a huge plus. HIPAA Compliance All roles at Kustomer may involve handling sensitive personal data. Benefits Kustomer offers an array of benefits including competitive salaries, stock options, 100% healthcare coverage, 401K, WiFi and Mobile reimbursement, and a generous vacation policy. Diversity & Inclusion at Kustomer Kustomer is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together.We are proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status. Disclaimer: Kustomer only contacts candidates from company email addresses ending in kustomer.com and does not seek funds from candidates in any circumstances.

Today, when a doctor refers a patient to a specialist, they send that referral via fax. (Yes, in 2024, 90% of provider-provider communication is a 1980s fax). Naturally, a doctor wants their patient to receive quality care as quickly as possible – but messy documentation, lengthy clinical reviews, and a constant back and forth over fax slows everything down. And the document work isn’t just data entry. It’s fine-tooth reasoning over dozens of pages of clinical information at a level of complexity that has largely stumped existing automation systems (and tired humans). Tennr built an automations platform centered around our suite of document-reading models (like RaeLLM™, a 7B model trained on 3M+ medical documents) to help your doctor ensure nothing is missed and help schedule your appointment so you can get better, faster. Tennr is a NYC-based tech company that launched out of Y-Combinator and is backed by Lightspeed Venture Partners, Andreessen Horowitz, Foundation Capital, The New Normal Fund, and other top investors. Behind every document our models process, there is a patient who is waiting to receive care. Every automation we build is in service of healthcare providers who are operating in service of patients. As such, we are looking for a product owner to drive action on our new Patient Operations team and help keep our automations performing at the highest standard of success. To succeed in containing this inherently probabilistic technology inside of a reliable experience healthcare providers can depend on, you need to be data obsessed, operationally savvy, pretty technical, and most importantly, consistent in your pursuit. There are a few ways our automations help patients: * Processing their documentation faster helps them get to the scheduling process faster * Giving healthcare providers visibility over their operations allows them to plan resources better which allows them to service patients better * Reducing the administrative burden allows providers to spend more on clinicians to provide more care to more patients You will have coverage over our entire suite of models and machine learning applications to ensure we’re maximizing all of these value points. Creating visualizations and alerts, finely combing through data to keep it high quality, and coming up with plans to optimize the patient scheduling experience. This role is a very cross-functional one. You will be working closely with our Front End and Machine Learning Engineering Teams as well as our Solutions Architects and Customer Success Managers to make sure our product is functioning in service of the patients. Expect to be on customer facing calls leading discovery, educating on best practices, and explaining Tennr’s edge at a high-level. * Drive Automation Excellence for Patient Operations: Lead the development and optimization of Tennr's automation suite, ensuring it delivers a high standard of performance for healthcare providers and, ultimately, patients. * Optimize Patient Scheduling Processes: Oversee automation workflows to improve patient scheduling efficiency, including reducing documentation processing time and enhancing healthcare providers' resource planning capabilities. * Data Quality and Visualization: Create visualizations and alerts to monitor the quality and performance of models. Conduct detailed data analysis to maintain high data quality standards and identify opportunities for improvement. * Ensure Operational Reliability: Maintain the reliability of Tennr’s probabilistic machine learning technology within a consistent and dependable user experience for healthcare providers. * Cross-Functional Collaboration: Work closely with Front End and Machine Learning Engineering Teams, Solutions Architects, and Customer Success Managers to ensure the product supports patient operations effectively. Collaborate to solve complex problems and ensure optimal product functionality. * Customer Engagement and Best Practices: Participate in customer-facing calls to lead discovery, gather insights, educate on best practices, and demonstrate the value and edge of Tennr's automation solutions. * Experience in Product Management: 3+ years of product management experience AND 3+ years of engineering experience, preferably with automation or machine learning products. Experience with sql is highly desirable. * Data-Driven Mindset: Strong ability to analyze data, create visualizations, and derive actionable insights. Experience with defining key performance indicators and using data to drive product improvements. * Technical Acumen: Understanding of machine learning applications, data management, and automation workflows. Ability to work closely with engineering teams and understand the technical aspects of product functionality. * Operational Savvy: Ability to manage complex workflows and maintain high operational standards in a regulated environment. Experience in improving operational efficiency and reliability through technology solutions. * Collaboration and Cross-Functionality: Proven experience working across multiple functions, including engineering, solutions architecture, and customer success. Strong communication skills to facilitate teamwork and drive consensus. * Customer-Centric Focus: Passion for enhancing patient experiences and supporting healthcare providers in delivering better care. Ability to translate customer needs into product requirements and solutions. * Leadership and Consistency: Ability to lead initiatives, work with probabilistic technologies, and maintain a consistent pursuit of product excellence. * Agile Product Development: Hands-on experience with Agile practices, including managing backlogs, sprint planning, and working in a fast-paced development environment.

Office Location: Lower Manhattan, NY - Hybrid US Citizenship Required Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency Job Overview: As a Principal Engineer on the AI Platform Team at Accrete AI, you will play a pivotal role in designing, building, and scaling our AI infrastructure. You will lead the development of robust, scalable, and high-performance AI Platform that supports our AI agent applications. This role requires deep technical expertise, leadership skills, and a strategic mindset to drive innovation and ensure the reliability and scalability of our AI solutions. Key Responsibilities: Qualifications: Accrete values diverse experiences and we encourage applicants to apply even if you don’t meet all of the following criteria. While having all of the qualifications listed below can certainly make you a strong candidate, we acknowledge that great candidates aren’t defined simply by a list of skills. If you think you have other experiences that would make you a good match for this role, please apply! • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. PhD is a plus., • Experience:, • 8+ years of experience in software engineering, with a focus on building scalable platforms., • 5+ years of experience in AI, machine learning, or data engineering., • Proven experience leading complex engineering projects from concept to delivery., • Experience working with language models is a plus., • Technical Skills:, • Expertise in programming languages such as Python, Java, or C++., • Strong understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch) and data processing technologies (e.g., Apache Spark, Hadoop)., • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes)., • Proficiency in software architecture, system design, and distributed systems., • Experience with CI/CD pipelines and DevOps practices., • Soft Skills:, • Excellent problem-solving skills and ability to think strategically., • Strong leadership, communication, and collaboration abilities., • Ability to mentor and inspire teams to achieve technical excellence. Benefits: • Fortune 500 level core benefits package: health, dental, vision, Rx, long-term disability, short-term disability, life insurance, & 401(k) Traditional & Roth, • Unlimited PTO & all U.S. federal holidays off, • Company events include happy hours, team bonding with bowling, tennis, and more Accrete is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

About Cambio Cambio is a software platform for world-class real estate decarbonization. We help commercial real estate owners and tenants bring their real estate portfolios to net-zero using a machine learning-driven, end-to-end real estate sustainability platform. Our mission is to take the real estate industry into the climate action era. We are proud to be the fastest growing startup in our category, with world-class partners and investors including Y Combinator, Google, the U.S. Department of Energy, Stanford University and Fifth Wall. We are seeking team members who are passionate about building transformative products, enthusiastic about problem-solving, and excited to work at the forefront of climate and real estate technology. Join us on our mission to achieve net zero by 2050. The role As a Product Manager at Cambio, you will lead the vision, strategy, and execution of our product roadmap, driving the development of our machine learning-powered decarbonization platform. You will work at the intersection of engineering, design, and business, translating customer needs into actionable product features that deliver exceptional value. You will be responsible for the entire product lifecycle, from ideation to launch and beyond, ensuring that our products not only meet but exceed the expectations of our users. This role demands a strategic thinker with strong technical acumen, a customer-centric mindset, and a track record of delivering successful products in a fast-paced, innovative environment. What you will be doing * Product Vision and Strategy: Define and communicate a clear product vision that aligns with Cambio’s mission and business goals. Develop and execute a product strategy that drives customer adoption and business growth. * Roadmap Development: Own the product roadmap, prioritizing features and enhancements based on customer needs, market trends, and business objectives. Balance short-term wins with long-term strategic investments. * Cross-Functional Leadership: Collaborate with engineering, design, marketing, and sales teams to deliver products that are innovative, user-friendly, and technically robust. Lead cross-functional teams through the product development lifecycle, ensuring alignment and timely delivery. * Customer-Centric Product Design: Engage with customers to deeply understand their pain points and needs. Use this insight to inform product design and development, ensuring that our solutions are not only functional but also delightful to use. * Data-Driven Decision Making: Leverage data analytics to inform product decisions. Set and monitor KPIs to measure product success and drive continuous improvement. * Go-to-Market Execution: Partner with marketing and sales to develop and execute go-to-market strategies, ensuring successful product launches that resonate with target customers. * Stakeholder Management: Serve as the primary point of contact for product-related inquiries, managing expectations and providing regular updates to stakeholders, including senior leadership and external partners. Impact In this role, you will achieve the following key accomplishments in your first 12-18 months: * Successfully launch new product features that drive significant customer adoption and satisfaction. * Develop and refine a product roadmap that balances innovative new features with necessary enhancements to existing offerings. * Establish a data-driven approach to product management, with clear KPIs and regular reporting on product performance. * Lead cross-functional teams to deliver high-quality products on time and within budget. * Build strong relationships with key customers, using their feedback to drive continuous product improvement. Qualifications * Experience: 5+ years of product management experience in a tech environment. Experience with B2B, machine learning products, platforms and / or dashboard analytics is a plus. * Technical Acumen: Strong technical background with an understanding of software development, machine learning, and data analytics. Ability to engage deeply with engineering teams and make informed technical decisions. * Customer Focus: Proven track record of delivering customer-centric products that solve real-world problems. Experience engaging with customers and translating their needs into product features. * Leadership: Strong leadership skills with the ability to influence and inspire cross-functional teams. Experience leading product development in a fast-paced, agile environment. * Communication Skills: Excellent communication and presentation skills, with the ability to articulate complex ideas to both technical and non-technical audiences. * Analytical Skills: Data-driven approach to decision-making, with experience using analytics to inform product strategy and measure success. * Education: Bachelor’s degree in Computer Science, Engineering, Business, or a related field. An MBA or advanced degree is a plus. * Team Player: Commitment to the team's success and collaborative working style. Logistics: * Work Authorization: Authorization to work in the United States or Canada is required. * Location: While this is a primarily remote role, we generally hire out of 3 hubs—San Francisco, New York and Toronto—so being located in or near one of these cities is preferred. * Compensation: This role is currently set at a salary range of ~$140,000-170,000 plus equity. What we offer We are a lean, growing, and high-performing team that works hard and is passionate about the climate problems we’re working on. At Cambio we promise: * Fast-growing startup experience: You will be responsible for foundational work that will have a significant impact on decarbonizing the commercial real estate industry. * Competitive compensation and founding startup equity. * Work with the best: Our team members come from top organizations in their sectors, including OMERS, Goldman Sachs, Faire, One Medical, Google, and Bain. * Remote work with flexible hours: We focus on results rather than the clock. If you thrive on leading the vision and strategy for innovative products that shape the future of sustainable real estate, we invite you to join our team as a Product Manager at Cambio. Apply now to embark on this journey with us.

We at ___ have built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. It's early days for this specific Continua product, but we think we're onto something. You can try adding 207-849-6643 to group texts to kick its tires! We've seen extremely rapid growth over the last month, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This a hybrid position that can be based in Seattle, WA or New York, NY. You'll work on building and improving the best LLM group chat experience there is. This includes: * Fine-tuning models to boost conversational quality and improve scalability. * Owning new ideas for engaging features and working across the stack (i.e. not just in Jupyter notebooks) to take them from concept to production. * Identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users. * Leading technical decision making to find solutions which are both innovative and practical. You're an experienced machine learning engineer with broad knowledge and skills. You're detail-oriented when it matters to make sure things get done right, but also know how to strike the balance between speed and perfection in a fast-moving startup environment. You: * Know the pitfalls and tricks for building with LLMs, especially RAG systems * Have experience with the level of obsession over detail needed to produce high quality ML systems. * Are experienced and comfortable building backend systems and working across a code base, not just in Jupyter notebooks. * Are experienced writing Python (knowing Go is a plus) * You know how to work independently to handle ambiguity We're willing to compromise on years of experience for the right candidate who brings energy, intelligence, and a passion for our mission. ___ of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.” We welcome referrals! If you know someone exceptional for this role, please email us at ___ We welcome referrals! If you know someone exceptional for this role, please email us at