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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

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.

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.

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.

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.

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.

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 ___.

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.

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

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.

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 ___.

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).

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

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 ___.

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 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.

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

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.

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 ___.

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.

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.

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

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.

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.

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.

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. The Firmwide Generative AI Team at Morgan Stanley is a dynamic and innovative department that serves as a center of GenAI enablement for the firm. The team is responsible for deploying advanced systems that utilize generative artificial intelligence to optimize business processes. The team oversees governance and control measures to ensure the ethical and responsible use of AI technologies. The team is committed to fostering a culture of continuous learning and provide education on AI technologies to other departments within the company.We are seeking a highly motivated Generative AI Product Manager to support the development and rollout of cutting-edge AI-driven products. The ideal candidate will have a strong background in product management, specifically in the realm of artificial intelligence and machine learning platforms. This role requires a blend of technical expertise, strategic thinking, and a keen understanding of market trends to drive product success from conception through to deployment and scaling.Key Responsibilities: * Help define product vision and strategy for generative AI tools * Drive formulation of project plans, product positioning, and go-to-market strategies * Partner with cross functional stakeholders including technology, Legal, Risk, Compliance, UX, and various business teams across the firm to execute and deliver GenAI products. * Support management of product lifecycle, from ideation through development, launch, and iteration * Utilize agile methodologies to manage project timelines, resources, and risks effectively * Conduct market research to identify trends and stay current with the latest developments in AI technologies and competitive landscapes to inform product decisions * Engage various business units and users across the firm to identify and prioritize use cases for GenAI implementation * Assist with development of strategies to boost user adoption and engagement. Gather user feedback to refine and optimize the product features and experience * Coordinate development of comprehensive test plans, ensuring alignment with product specifications. Actively participate in testing to identify, document, and resolve potential issues * Support planning and implementation of product launch activities. Coordinate with various support teams to ensure a successful rolloutRequired Skills: * Proven experience as a Product Manager or Business Analyst, experience with Generative AI is preferred. * Strong understanding of Agile SDLC methodologies and project management tools * Excellent leadership, communication, and interpersonal skills. * Ability to work collaboratively in a cross-functional environment and manage multiple priorities effectively. * Experience in handling user feedback, pilot testing, product support, and driving technology adoption strategies.WHAT YOU CAN EXPECT FROM MORGAN STANLEY:We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.Expected base pay rates for the role will be between $75,000 and $120,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

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.

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

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. Why We Need You Our customers operate within a constellation of enterprise tools—document management systems, identity providers, fine-grained access managers, and an ever-expanding roster of platforms. The Nexus team exists to establish Noetica as the central node of that graph; ensuring seamless onboarding and maximizing insights for our customers. Without your craft, data would remain siloed, user experiences would fragment, and our product edge would dull. Your work keeps information moving, customers delighted, and innovation accelerating inside a rapidly evolving market. Here's What You'll Be Doing As a Software Engineer, Backend at Noetica, you'll be a key player in building the robust foundation of our groundbreaking platform. You will: * Craft elegant data bridges. Build services that coalesce diverse third party schemas while absorbing schema drift, partial outages, and every quirky edge-case with composure. * Build resilient, performant data syncs. Craft back-pressure-aware pipelines that respect flaky networks and strict rate limits while still achieving near-real-time freshness. * Collaborate across disciplines. Pair with ML researchers, product managers, and fellow platform engineers to design contracts that are clear, composable, and future-proof. * Raise the bar. Champion code quality, testing strategy, and sustainable operational practices that make on-call a non-event. Required Qualifications * You have a Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). * You’re well-versed in object-oriented design and familiar with functional programming principles. * You are proficient in relational database technologies, modern Python, and concurrency models. * Hands-on knowledge of AWS (or another hyperscaler), containerization, and orchestration (Docker, Kubernetes, ECS). * Familiarity with modern auth standards (OAuth 2.0, OIDC, SAML) and secret management. * Experience designing and operating production-grade backend services that integrate with third-party REST or gRPC APIs. * You are a strong communicator, eager collaborator, and self-starting problem solver, eager to learn alongside a team of world class ML researchers. Preferred Qualifications * You are interested in language and economics. * You have worked in single-tenant architectures. * You’ve implemented change-data-capture or delta-sync patterns at scale. * You’re comfortable with data-engineering concepts (Parquet, Protobuf, streaming queues, Airflow/Prefect). * You are motivated by having high impact and the growth that comes from moving quickly and adapting to an emerging product landscape. * You’ve wrangled rate-limited or eventually consistent partner APIs and built clever ways to maintain synchronicity within the rules. The reasonably estimated yearly salary for this role is $140,000-$209,000 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.

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

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:

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 full-stack engineer to join the founding team to help build our core suite of products—the React Native worker mobile app, the React/___ business web app, and a React/___ tools platform for our ops team. You'll partner with our CTO to help provide key input on the product roadmap, own product decisions, and 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. * Experience with or desire to learn React Native. You have the front-end chops to build beautiful performant apps and love creating products that delight users. You Will: * Write & review high quality, performant code for our React Native mobile app, React/Typescript web apps, and ___ APIs * Architect & document our tech platform and advise key product & infrastructure decisions * Collaborate with designers to implement pixel-perfect, eye-pleasing UIs * Implement our CI/CD workflows, using Docker & Github Actions * Add 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: * 3+ years experience with Typescript, Javascript, React Native, React, Node.js, and/or PostgreSQL * Experience with Docker * 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 $140,000 and $170,000, 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.

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.

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

We’re looking for Software Engineers who want to help us design and build the systems and tools that run the firm. You’ll find Software Engineers in all parts of Jane Street, solving real problems in critical areas ranging from trading desks to our accounting team, as well as building foundational infrastructure, whether that means implementing network monitoring or risk models. We are big believers in functional programming and, using OCaml, a statically -typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning. Beyond our own environment, we also recognize the value of open source software, leveraging it in our daily work and releasing over a million lines of our own code as open source. We’re also always looking for ways to expand open source projects, and provide ongoing support to things like Mercurial, the OCaml compiler, and the OPAM package manager. That said, we’re interested in talented engineers with experience in any language—most of us came in with little to no practical experience in OCaml before we joined. If you’d like to learn more, you can read about our___ and meet some of our___. We don’t expect you to have a background in functional programming, OCaml, Python, finance, or any other specific field—we’re looking for smart programmers who enjoy solving interesting problems. We’re more interested in how you think and learn than what you currently know. You should be: • A top-notch programmer with a love for technology, • Intellectually curious, collaborative, and eager to learn, • Humble and unafraid to ask questions and admit mistakes If you'd like to get an idea of what we cover in our software engineering interview process, you can visit our ___. If you're a recruiting agency and want to partner with us, please reach out to .

Yext (NYSE: YEXT) is the leading digital presence platform for multi-location brands, with thousands of customers worldwide. With one central platform, brands can seamlessly deliver consistent, accurate, and engaging experiences and meaningfully connect with customers anywhere in the digital world. Our AI and machine learning technology powers the knowledge behind every customer engagement, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we are consistently recognized as a ‘Best Place to Work’ globally by industry leaders such as Built In, Fortune, and Great Place To Work®! The Yext Engineering Team drives the technology behind our revolutionary product offering! We’re looking for Software Engineers to help us continue building out our product and services. Our team works in an agile environment running two-week sprints that culminate with demos of features in progress. You will work alongside engineers from the top universities and tech companies in the world, hands-on with the code from day one. What You’ll Do • Participate in full life-cycle software development, • Design, implement, and deploy highly scalable and reliable systems, • Build storage systems, libraries, and frameworks., • Contribute ideas for new features and identify areas for improvement proactively, • Collaborate effectively across teams, including outside of engineering, • Write clean, tested, and well-documented code What You Have • BA/BS in Computer Science, a related field, or a similar college level education, • 3+ years of industry experience, • Strong foundation in data structures, algorithms, and software design, • Fluency with Java, C++, Python, or similar (we primarily code in Java), • Openness to new technologies and creative solutions, • Comfortable working within a fast-paced high growth startup environment #LI-JB2 Pay ranges at Yext are established based on an analysis of salaries for positions with a similar level of accountability and impact in the relevant labor market. Salary levels are expected to change to reflect an employee’s job performance (results and impact) over time. Salaries at the time of hire are typically offered in the lower to middle of the above-referenced range in order to provide the opportunity to reflect performance-based increases over time. In addition to base salaries, employees at Yext are typically eligible for a comprehensive package of benefits including medical, dental and vision benefits; life insurance; short term and long-term disability; 401(k) retirement plan; and vacation and sick leave. Successful candidates may also be eligible for equity (stock) based compensation and/or variable pay programs based on performance relative to goals and targets. Annual Base Pay Range$109,350—$224,500 USD Yext is committed to building an inclusive and diverse culture where every person is seen, heard, and valued. We believe in equal employment opportunity and welcome employees and applicants of all races, colors, ethnicities, religions, creeds, national origins, ancestries, genetics, sexes, pregnancy or childbirth, sexual orientations, genders (including gender identity or nonbinary or nonconformity and/or status as a trans individual), ages, physical or mental disabilities, citizenships, marital, parental and/or familial status, past, current or prospective service in the uniformed services, or any characteristic protected under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Yext’s policy to provide reasonable accommodations to people with disabilities as required by law. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete ___.

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 903-320-4371 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. 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

About Syntax Data Syntax is a financial data and technology company that codifies business models of global companies. Syntax offers wealth technology, direct and traditional indexing, and financial data analytics to institutions, investment advisors, asset managers, issuers, and financial data companies. Syntax has developed a seamless front-to-back solution, Syntax Direct℠, for creating and producing highly customized and personalized indices at scale. Recently launched, the Syntax Direct platform is already achieving broad market recognition and acceptance. About the Role Syntax’s Software Engineering team is a group of highly motivated people with a passion for technology. As a Software Engineer you will be responsible for developing, maintaining and innovating on Syntax’s financial software and data products. You will be tasked with writing optimized, performant code, and be provided opportunities to contribute to the planning and design of our products. Your work will contribute to the development of web applications, data pipelines and third party integrations. You will also provide direct feedback into Syntax’s software engineering process and improve the efficiency of the team. \n Responsibilities will include: • Designing, enhancing and maintaining large financial databases for use in web applications., • Developing and maintaining database systems supporting the construction of performant, complex queries., • Writing well-designed APIs and working with backend services., • Creating flexible and intuitive client-facing JSON APIs for streaming data., • Ensuring that mission critical systems and services operate smoothly by triaging and resolving operational issues as part of a team of on-call engineers., • Collaborating with cross-functional teams to identify and solve complex problems. The Ideal candidate will have: • A bachelor’s degree or higher in computer science or a related discipline., • Proficiency in relational database systems such as Postgresql, • Prior professional experience working with and deploying to cloud environments such as AWS, DigitalOcean, or equivalent., • An eye for code quality and familiarity with design patterns and best practices., • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, agile environment., • Strong communication skills and the ability to articulate technical concepts effectively to both technical and non-technical audiences. Preferred skills • Experience working in finance or financial technology., • Experience with Ruby on Rails or similar MVC framework., • Familiarity with Infrastructure as Code and tooling such as Terraform or AWS CDK., • Prior professional experience with hosting and building APIs around Machine Learning models. \n$110,000 - $125,000 a year\n Learn more at ___ Learn more at

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Software Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. • Have significant software engineering experience, • Are results-oriented, with a bias towards flexibility and impact, • Pick up slack, even if it goes outside your job description, • Enjoy pair programming (we love to pair!), • Want to learn more about machine learning research, • Care about the societal impacts of your work, • High performance, large-scale ML systems, • GPUs, Kubernetes, Pytorch, or OS internals, • Language modeling with transformers, • Reinforcement learning, • Large-scale ETL, • Security and privacy best practice expertise, • Machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL, • Low level systems, for example linux kernel tuning and eBPF, • Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems, • Optimizing the throughput of a new attention mechanism, • Comparing the compute efficiency of two Transformer variants, • Making a Wikipedia dataset in a format models can easily consume, • Scaling a distributed training job to thousands of GPUs, • Writing a design doc for fault tolerance strategies, • Creating an interactive visualization of attention between tokens in a language model Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary:$300,000—$600,000 USD Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation and Benefits for Full-Time Employees* Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates. Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance. US Benefits for Full-Time Employees - The following benefits are for our US-based employees: • Optional equity donation matching., • Comprehensive health, dental, and vision insurance for you and all your dependents., • 401(k) plan with 4% matching., • 22 weeks of paid parental leave., • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!, • Stipends for education, home office improvements, commuting, and wellness., • Fertility benefits via Carrot., • Daily lunches and snacks in our office., • Relocation support for those moving to the Bay Area. UK Benefits for Full-Time Employees - The following benefits are for our UK-based employees: • Optional equity donation matching., • Private health, dental, and vision insurance for you and your dependents., • Pension contribution (matching 4% of your salary)., • 21 weeks of paid parental leave., • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!, • Health cash plan., • Life insurance and income protection., • Daily lunches and snacks in our office., • This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

McLaren Strategic Solutions is looking for a highly skilled Automation Test Engineer to support a cutting-edge GenAI-powered QE Automation Solution. The ideal candidate will have hands-on experience in Playwright, Gherkin-based test design, GenAI integration, and full-stack application testing. This role will contribute to automating test generation, enhancing reusability, and supporting intelligent documentation and artifact creation. • Design and generate automated test cases and test data in JSON format., • Develop robust Playwright automation scripts for front-end and backend validation., • Convert functional inputs and business rules into .feature files using Gherkin syntax., • Implement Scenario Outlines with Examples for scalable, data-driven BDD testing., • Use LLM-based detection to identify and reuse step definitions and automation components., • Identify and document missing automation components to enhance the framework., • Collaborate with cross-functional teams to integrate test automation within a full-stack environment (React, Ruby on Rails, MongoDB/Node)., • Work within a Python 3.11+ environment for automation orchestration and tooling., • 5 years of automation testing experience, • 5 years of test automation experience with Playwright and JavaScript/TypeScript., • 5 years of software engineering experience using Python., • Gherkin/Cucumber BDD test case development., • Experience with JSON-based test data generation and API interactions., • Familiarity with LLM-based tools and GenAI-powered testing strategies.

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 Product Owner to join our AI Solutions team within Operations & Technology. In this 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. 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., • Develop a deep understanding of stakeholder 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), • 8+ years of related professional experience (e.g., experience in product management or development, ideally with a focus on AI), • Excellent verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences., • Proven experience as a Product Owner, preferably in managing LLM based Conversational agents., • Exceptional product management, organizational skills, attention to detail, and the ability to manage multiple priorities effectively., • Strong collaboration skills and the ability to build relationships and foster partnerships across teams., • Advanced technical, quantitative, analytical, research, and problem-solving skills., • Self-starter with the ability to succeed in a fast-paced, evolving landscape., • Familiarity with UI/UX principles and their application to product development., • Experience with product management tools like Jira, Confluence, and Airtable., • Proficiency with Lucidchart, Word, PowerPoint, Excel, and SharePoint., • Experience in the Media & Entertainment industry. 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 ___.

Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Full Stack Engineer at Radical, you’ll design and build systems that bridge software and physical labs. You’ll develop services that orchestrate robotic hardware, manage asynchronous workflows, and expose them via APIs and interfaces to scientists and engineers. Your work will touch everything from real-time coordination of lab equipment, to building frontend tools for steering experiments, to high-performance backend services that run simulations and ML-powered feedback loops. We work in a deeply technical domain—robotics, ML, and experimental automation—and your software will directly control and monitor systems in the real world. You’re an engineer who thrives on building complex systems that touch real hardware, manage asynchronous workflows, and surface meaningful interfaces to end users. You’re comfortable moving between abstraction layers, and you take ownership of problems from design to debugging in production. You may not have done all of the following, but the prospect of learning and owning these technologies excites you: • Python expertise, especially with context managers and asynchronous programming using asyncio. You’ve built services that coordinate concurrent processes and understand event loops, clean cancellation, and backpressure., • Rust experience or a strong interest in systems programming. You appreciate its guarantees and have used it (or want to use it) for high-performance orchestration, drivers, or data handling where Python falls short., • Familiarity with distributed systems patterns such as idempotent task execution, event-driven workflows, pub/sub messaging, and retry semantics., • Experience with gRPC, protocol buffers, and versioned API design. You’ve worked on strongly typed service boundaries and understand the tradeoffs in service mesh vs monolith architectures., • Frontend engineering experience with Svelte, React, or similar frameworks. You’ve built responsive, real-time interfaces and care about state management, testing, and usability. You’ve worked with structured APIs and understand browser performance implications., • Comfort with telemetry, observability, and debugging tools—structlog, OpenTelemetry, Prometheus, Grafana, etc. You think about how systems fail and how to make failure modes easy to diagnose., • Experience with hardware-adjacent software: robotics SDKs, sensor interfaces, PLCs, or simulation environments (e.g. ROS, PyBullet, or custom test benches for hardware-in-the-loop testing)., • Familiarity with CI/CD, containerization (Docker), and hybrid cloud/on-prem environments. You understand how to build for reproducibility and deploy in controlled lab settings., • You’re driven by technical depth and product impact. You want your code to directly influence what happens in the real world—and you’re eager to work alongside roboticists, ML engineers, and scientists to make that happen., • Experience with robotic APIs, lab automation protocols, or hardware integration (e.g., ROS, Modbus, serial interfaces)., • Familiarity with real-time systems, state machines, or control loops., • Experience writing developer-facing SDKs or command-line tools., • Exposure to scientific computing, simulation pipelines, or ML infrastructure., • Experience working with structured telemetry, logs, or time-series data., • Comfort developing and debugging in hybrid on-prem/cloud environments (e.g., Docker, k8s)., • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research., • A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.$200 - $250 a year+ Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists. Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. This Staff Backend Engineer will focus on recommender systems backend and infra at the intersection of generative recommenders and foundational understanding of user taste across music and talk content formats. You will work closely with a cross-functional team to define and execute the backend technical strategy for the product area, serving the next generation of Spotify content and user representations and the technical architecture to support it. Join us and you’ll keep millions of users listening to great recommendations every day. 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. • Lead cross-functional collaborations between Experience and PZN engineering teams to advance system architecture for Foundational LLMs., • Partner closely with teams to translate their needs into foundational systems that enable each step of the core content lifecycle., • Lean into reliability and latency opportunities for improvement inend-to-end stack., • Mentor backend engineers and influence technical strategy by setting high standards in methodology, reproducibility, and collaboration., • Shape the long-term system architecture for Home by working very closely with Home Construction teams, Home Content teams and the CoreX., • Prototype new approaches and productionize solutions for Home experiences., • Contribute to defining backend technical strategy at the intersection of generative recommenders and foundational user modeling, • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new tech that connect fans and artists in personalized, meaningful ways, • Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods, • You have extensive experience in designing system architectures that include machine learning models as key components in enabling the product experiences., • You have a strong bias to action by building MVPs, prototypes and illustrating ideas through concise documents to drive initiatives forward., • Team-first approach with developed techniques to ensure teams are happy, motivated, and productive, • You enjoy leading projects from start to finish working closely with your team and peers. You are comfortable dealing with ambiguity on high impact projects, • 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

Backed by leading investors from Silicon Valley, Peregrine supports public safety agencies across the country — from Los Angeles to Louisville to Atlanta — empowering public servants to improve operations and make better decisions in the moments that matter. Today, our technology is used by customers to serve more than 30 million Americans. We’re motivated to build technologies by partnering with our customers; we listen to their needs, learn from their experiences, and develop effective solutions to help them achieve transformational outcomes. Together, we’re creating safer communities, protecting privacy and civil liberties, and helping everyone in America thrive. We are a team of public service entrepreneurs who are passionate about solving hard problems. We trust and help each other, and love diving into challenges together. We believe empathy, curiosity, integrity, courage, and excellent execution are key to building impactful software. If mission-focused work is your north star, come build with us. We’re just getting started. As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves. We’re looking for a Senior Software Engineer to join our core engineering teams. You’ll work cross-functionally with design and product management to build systems that are robust, scalable, and user-centered. Our teams tackle a range of challenges, from enabling real-time user collaboration on detailed maps to building high-scale backend architecture for ingesting billions of data points. We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision. We’re looking for an Engineering Team Lead to join our growing team and drive impactful projects, foster an inclusive team culture, and lead technical decision-making. This role is for someone who thrives in both people management and hands-on technical leadership. You’ll develop a high-performing team, guide them through complex technical challenges, and ensure their work aligns with our business priorities. The ideal candidate will balance mentorship while maintaining high standards in technical execution. You’ll drive impactful work that delivers value to our customers, from aiding emergency responders during a hurricane to diffusing complex organized crime. We are building innovative capabilities that enable new workflows for our customers. As a leader, you will ensure that we execute well on these initiatives. Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure. About you • Desire and drive to own large portions of the application from start to finish, • Passion for crafting and shipping software solutions that delight users, • Thrive on ambiguity and love taking on hard problems, • Excellent technical vision with the ability to synthesize product requests into strong and reliable software components What we look for • Degree in Computer Science or a related field, or equivalent experience, • 6+ years of experience working with cross-functional software development teams, • Experience shipping and iterating on production-grade software components professionally and / or in the open-source community, • Ability to write robust, well tested, and well-designed code that frequently gets deployed to users, • Solid understanding of architecting and scaling distributed software systems, • Strong best practices in modern software development and comfort navigating large codebases, • Located in NYC and open to working in office Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable) Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is ___. Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.