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Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Job DescriptionAbout the Company Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers. * Company type: Publicly traded * Industry: AI/ML, Cloud Computing, Infrastructure-as-Code * Candidate Location: Remote U.S. Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services. The Opportunity We are seeking a Senior AI/ML Specialist Solutions Architect to join our client's team. This role offers the chance to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers. What You'll Do * Architect and optimize distributed training and inference systems for large-scale AI models * Design and deliver customer-focused solutions that maximize performance and business value * Lead the transition of ML pipelines from POC to scalable production systems * Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals * Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices * Provide technical leadership and mentor teams on AI infrastructure and deployment strategies * Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps What You Bring * 5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles * Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments * Demonstrated success delivering ML products, scaling from POC to production * Deep knowledge of ML frameworks like PyTorch and JAX * Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband) * Exceptional communication skills to engage both technical teams and business stakeholders * Legal authorization to work in the United States on a full-time basis without sponsorship Preferred Technical Skills * Programming Languages: Python, Go, Java, C++ * Infrastructure as Code (IaC): Terraform, Ansible * Orchestration: Kubernetes (K8s), Slurm * DevOps Tools: Git, Docker, Helm * Big Data Frameworks: Spark, Kafka, Hadoop * Databases: SQL, NoSQL, and vector databases * ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn Why Join? * Competitive compensation: $180,000 - $300,000 per year (negotiable based on experience and location) * Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families * 401(k) plan with a 4% match program * Stock options plan * Flexible remote work environment * Company-paid short-term, long-term disability, and life insurance coverage * 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers * Up to $85/month for mobile and internet * Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs * Be part of a team that operates one of the most powerful commercially available supercomputers * Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings Interviewing Process * Level 1 - Interview with Talent Acquisition * Level 2 - Interview with the Hiring Manager * Level 3 - Technical Assessment * Reference and Background Checks: conducted after successful interviews * Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $180K - $300K

Job DescriptionAbout Fusemachines Fusemachines is a leading provider of AI strategy, talent, and education services. Founded by Dr. Sameer Maskey, an Adjunct Associate Professor at Columbia University, our mission is to democratize AI. With a presence in four countries—Nepal, the United States, Canada, and the Dominican Republic—and a team of over 350 full-time employees, we leverage our global AI expertise to drive innovation and transformation for businesses worldwide. This is a remote role. 6 months contract with us and after that will be hired as a full time employee directly with the client. About the role As a Data Scientist on our team, you will contribute to new product development in a collaborative, small-team environment, writing production code for both run-time and build-time applications. You will help design and implement data-driven solutions for complex business challenges by discovering, extracting, and modeling knowledge from large-scale natural language datasets. Your work will involve prototyping new ideas and collaborating with data scientists, product designers, data engineers, front-end developers, and domain experts to drive innovation. This role offers the opportunity to work in a fast-paced, start-up-like culture while leveraging the resources and scale of an established company. Responsibilities • Develop and implement LLM-based applications for various use cases., • Evaluate and maintain data assets and training/evaluation datasets., • Design and build pipelines for preprocessing, annotating, and managing large-scale text datasets., • Collaborate with domain experts to understand requirements and ensure ML applications align with business needs., • Conduct experiments and evaluate model performance to drive continuous improvements., • Fine-tune and deploy large language models(LLMs) to enhance their performance on specialized tasks., • Interface with other technical teams to finalize requirements., • Work closely with development teams to understand complex product requirements and translate them into scalable software solutions, • Implement development best practices, including coding standards, code reviews, and production-ready implementations. Requirements • Practical experience with large language models (LLMs), prompt engineering, fine-tuning RAG-based applications, and benchmarking using frameworks like LangChain., • Strong background in natural language processing (NLP) with experience using spaCy, word2vec, Flair, BERT., • Formal training in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms., • Proficiency in Python and experience working with ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers., • Experience with cloud platforms such as AWS, GCP, or Azure., • Understanding of data modeling principles and complex data architectures., • Experience working with relational and NoSQL databases and vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch, OpenSearch)., • Familiarity with distributed computing frameworks like Spark, Scala, or Ray (highly preferred)., • Knowledge of API development, containerization (Docker, Kubernetes), and ML deployment (highly preferred)., • Hands-on experience with ML Ops/AI Ops, including experiment tracking tools like LangFuse and DVC., • Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face TransformersPreferred Qualifications, • MS in Data Science, Computer Science, Statistics, Machine Learning, or related field NXhNfVyKHF

Job Description Our client is looking to hire a Founding AI Engineer to build the core of their AI-powered hiring platform. Their tools help companies hire top tech talent by detecting and preventing AI-assisted fraud, while accurately measuring a candidate's genuine skills. You'll be on the front lines of this fight, architecting the systems that analyse candidate behaviour, create dynamic challenges, and deliver insights that outperform traditional interviews. Requirements • Experience building production AI systems and LLM-powered applications, • Strong foundation in RAG architectures, prompt engineering, and AI pipeline design, • Hands-on experience with model context protocols (MCP) and orchestrating complex AI workflows, • Track record of implementing AI solutions that scale to thousands of concurrent users, • Deep understanding of embedding systems, vector databases, and retrieval optimization, • Comfort working across the entire AI stack – from infrastructure to application layer, • Excitement about pioneering new approaches to AI-powered evaluation and fraud detection, • Must be able to work on-site in New York If you're ready to make a significant impact and help us build a better hiring process, we'd love to hear from you. Benefits • Competitive salary range - up to 250k USD per year. Location Our client is a New York-based company with a strong in-office work culture. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! Job Description Your Career At Palo Alto Networks, we are at the forefront of securing the evolving Artificial Intelligence (AI) landscape with our Prisma AIRS runtime security platform. We are seeking a passionate and experienced AIRS Solutions Specialist to support the go-to-market (GTM) strategy and execution for our rapidly growing AI security solutions. This critical pre-sales role will be instrumental in accelerating the adoption of our solutions that help customers secure the creation and usage of AI applications, including homegrown AI and popular generative AI tools. Your Impact • Define and execute on our GTM strategy for AI security solutions, focusing on accelerating customer adoption of our solutions for securing the creation and usage of AI applications, • Collaborate with cross-functional teams to drive pipeline generation, customer engagements and market penetration, • Support the development and execution of strategies to identify, qualify and convert a robust pipeline of potential customers for AI security solutions, • Conduct thorough market research and competitive analysis to identify key market segments and opportunities, • Lead customer-facing activities, including presentations, demonstrations and proof-of-value (POVs), • Engage in technical conversations with customers regarding AI security challenges and solutions, including topics such as securing RAG models, prompts, vector databases, etc., • Build strong relationships with key customer stakeholders, including C-level executives, security and IT leaders, • Collaborate closely with sales, marketing, product management and engineering teams to ensure alignment and effective go-to-market execution, • Be an evangelist to further educate customers of generative AI and positioning PANW for securing AI projectsQualifications Your Experience • 7+ years of technical professional experience including 3+ years of experience in AI and related fields, with a strong focus on technical sales, strategy and execution, • Proven track record of success contributing to high-performing technical sales or solution architecture teams, • Deep understanding of AI technologies, including machine learning, deep learning and generative AI, • Ideally, experienced with security solutions and the cybersecurity market, including application security, data security, network security and/or security applied to generative AI, • Experience with popular generative AI tools and their security implications preferred, • Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP), • Ability to thrive in a fast-paced, dynamic environment and adapt to changing market conditions Additional Information The Team We work hand in hand with organizations around the world as they move to a more secure environment. As part of the Business Development team, you find and create opportunity, forming relationships with organizations seeking a trusted partner. You are empowered with unmatched systems and tools, including constantly updated research and sales libraries and a team built on joint success. You won’t find someone at Palo Alto Networks who isn’t committed to your success — everyone pitches in to assist when it comes to solutions selling, learning, and development. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $222000/YR - $304500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes

Job Description This job opportunity is part of an RFP process; candidates are invited to submit their resumes detailing relevant experience. Job Title: Full Stack Developer, Senior Onsite Requirement: A couple of days onsite required and travel to different sites. Job Summary: LCG is seeking a highly skilled Full Stack Developer, Senior to support the modernization of the client Applicant and Administrator Systems. This role is responsible for the full lifecycle of software development—planning, design, coding, configuration, installation, testing, troubleshooting, performance monitoring, integration, and maintenance—within a Microsoft .NET and Azure cloud environment. Experience with .NET Core, Angular, Azure DevOps, and Generative AI technologies (including GitHub Copilot, Azure AI Services, and LLM integration) is highly desired. The ideal candidate has a proven record of delivering scalable and modernized web-based applications and possesses expert-level knowledge in front-end, back-end, database, and cloud-based solutions using the latest technologies and frameworks. Key Responsibilities • Lead the development and modernization of web applications supporting client’s hiring and administrative systems., • Perform software analysis, architecture design, module estimation, coding, testing, deployment, and support., • Build responsive, user-friendly web interfaces compatible across desktops, tablets, and smartphones., • Working with languages such as .NET Core, Angular, Azure DevOps, and Gen AI frameworks such as MS Copilot., • Develop cross-platform applications using .NET Core, React, Angular, and JavaScript, with emphasis on seamless UI/UX development and backend integration., • Develop and maintain full stack web applications with secure authentication and authorization using IBM Security Access Manager (ISAM), supporting OpenID and OAuth 2.0 standards., • Implement Role-Based Access Control (RBAC) aligned with clients security models to ensure proper access and compliance., • Design, build, and manage APIs using IBM API Connect, enabling seamless communication between internal and external systems., • Integrate enterprise services using IBM Integration Bus (IIB) for message transformation, routing, and orchestration., • Support secure data exchange and automation workflows using RESTful APIs and SFTP protocols., • Develop RESTful APIs and microservices-based architecture for scalable integrations., • Migrate data from DB2 to modern SQL Server databases, ensuring high performance and data integrity., • Leverage GitHub Copilot and Power Automate to streamline development and automate workflows, • Collaborate with UI/UX designers, DevOps engineers, business analysts, and testers to deliver functional, maintainable solutions., • Integrate new systems with DOE's internal platforms (e.g., Payroll, Collections, District 75 systems)., • Automate workflows related to hiring, billing, invoicing, and reporting., • Implement robust security controls to meet client standards., • Participate in Agile ceremonies and provide input into sprint planning, retrospectives, and daily standups., • Create and maintain detailed technical documentation, including systems architecture, integration protocols, and support procedures., • Conduct functional, unit, and performance testing; support user acceptance testing (UAT)., • Develop and deploy serverless functions, microservices, and containerized applications using Azure Kubernetes Service (AKS), Azure Functions, and CI/CD best practices., • Experience: 8+ years of experience in full stack software development in Microsoft environments., • Certifications: Current Microsoft and/or Azure certifications (e.g., Microsoft Certified: Azure Developer Associate, Azure Solutions Architect, or similar)., • Education: Bachelor’s degree in Computer Science, Information Systems, or related field., • Languages/Frameworks: .Net + Gen AI, CoPilot, Power Automate, Cognitive Services, LLMs, Vetor DBs (Azure AI Search, PostgreSQL), DevOps - 2) .Net Core, Power PlatformEntity, • Database: Microsoft SQL Server, DB2 (for migration), Azure SQL, Vector DBs such as Azure AI Search and PostgreSQL, database design and optimization, • Cloud & DevOps: Microsoft Azure, Azure Data Factory, Azure DevOps, GitHub Copilot, serverless computing, AKSCI/CD, Kubernetes, containerization, • Integration: API development and integration, RESTful services, backend integration with Cognitive Services, LLMs, Salesforce CRM integration (desirable), • Microservices: Proven experience designing and building microservices in enterprise applications, • Other Tools: Git, Jira, Visual Studio, Postman, Swagger/OpenAPI, • Security: Familiarity with client Information Security Requirements and non-functional technical standards, • Experience modernizing legacy enterprise systems, especially in public sector environments, • Familiarity with client's internal data systems and business rules, • Strong knowledge of performance tuning and cross-browser compatibility techniques, • Background in supporting education-based platforms., • Familiarity with email systems and traffic/load optimization. The projected compensation range for this position is $124,000 to $153,200 per year benchmarked in the New York area. The salary range provided is a good faith estimate representative of all experience levels. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience. LCG offers a competitive, comprehensive benefits package which includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits. Devoted to Fair and Inclusive Practices All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at . Securing Your Data Beware of fraudulent job offers using LCG's name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from lcginc.com or emails, not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information, contact us immediately at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Job DescriptionDo you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you. Learn how we are redefining the meaning of work, and be a part of the team raved by Clients, Job-seekers and Employees. • Jobseeker Video Testimonials We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details. Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution. Role: AI Engineer Location: Weehawken, NJ Duration: 6 Months Onsite Position Requirements We are seeking an experienced AI Engineer to join our team for a high-impact project. The ideal candidate will have a strong background in Java and Python, hands-on experience with AI application development, and deep expertise in cloud-based AI model integration, deployment, and optimization—particularly within Azure AI environments. This role involves working with modern AI frameworks, implementing advanced AI architecture patterns, and optimizing solutions for real-time, production-grade applications. Key Responsibilities * Design, develop, and deploy AI-driven applications leveraging Java and Python. * Integrate and optimize cloud-based AI models in Azure, including Azure OpenAI and Azure AI Search. * Implement advanced AI architecture patterns such as: * RAG (Retrieval-Augmented Generation) * Agentic RAG * MCP (Multi-Chain Processing) * Functional Calling * A2A (Agent-to-Agent) workflows in Azure. * Utilize frameworks and tools such as Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow. * Apply prompt engineering and context engineering strategies to maximize AI output relevance and accuracy. * Work with vector databases and design embedding/chunking strategies for large datasets. * Enable real-time data integration into AI-driven workflows. * Evaluate AI model outputs, optimize for performance, accuracy, and cost. * Collaborate with cross-functional teams (Data Science, Cloud Engineering, Product) to align AI solutions with business needs. * Troubleshoot AI integration challenges and implement best practices for scalability and security. Required Skills & Experience * Strong coding experience in Java and Python. * Hands-on experience in AI application development and deployment. * Proven expertise with AI frameworks: Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow. * Proficiency with Azure AI Services: * Azure OpenAI * Azure AI Search * Understanding of advanced AI patterns: RAG, Agentic RAG, MCP, Functional Calling, A2A. * Expertise in prompt engineering, context engineering, and LLM output optimization. * Experience with vector databases, embedding/chunking strategies. * Familiarity with real-time data integration and streaming. * Ability to evaluate, fine-tune, and optimize AI models for production. Preferred Qualifications * Experience working in financial services or other regulated industries. * Familiarity with MLOps practices and CI/CD pipelines for AI model deployment. * Knowledge of security and compliance considerations for AI in cloud environments. * Strong problem-solving and debugging skills. * Excellent communication and stakeholder management abilities. BenefitsVisit us at . Alignity Solutions is an Equal Opportunity Employer, M/F/V/D. CEO Message: Click Here Clients Testimonial: Click Here

Job Description🚀 About PermitFlow PermitFlow is building AI agents for the $1.6T construction industry. We’re creating the leading pre-construction platform, starting with the $12B permitting market. Our platform automates the slow, manual permitting process for builders, handling everything from jurisdiction research to application preparation, submission, and real-time tracking. By turning fragmented regulations and workflows into structured, intelligent systems, we help contractors move faster, reduce risk, and scale with confidence. We've raised over $36.5M with Kleiner Perkins leading our Series A, with participation from Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures. Our backers include founders and executives from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, Uber, and more. We are a team of architects, engineers, permitting experts, and product builders who know the pain of pre-construction firsthand and are committed to solving it. Demand is growing faster than we can keep up, and we’re looking for top talent to help us scale. Our HQ is in New York City with a hybrid schedule (3 in-office days per week). We prefer NYC-based candidates or those open to relocation. ✅ What You’ll Do We are seeking an Applied Machine Learning Engineer to design, prototype, and ship intelligent systems that enhance our core permitting workflows — from document understanding and data extraction to compliance automation. You’ll be instrumental in designing and scaling LLM-powered features and retrieval systems to extract, analyze, and structure complex permitting data. This is a high-impact, high-autonomy role where you’ll help define the technical foundation of our ML stack and influence product direction from day one. * Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit application workflows. * Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval. * Rapidly prototype and fine-tune pre-trained models to solve real-world permitting NLP tasks such as document classification and entity recognition. * Build scalable machine learning infrastructure, integrating with backend systems to support AI-driven workflows. * Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance. * Own the full ML lifecycle — from experimentation and evaluation to deployment, monitoring, and continuous improvement. * Identify high-impact opportunities for ML by strategically balancing rule-based, retrieval, and ML-driven approaches to build fast, maintainable, and scalable systems. * Apply state-of-the-art LLM and NLP techniques to production workflows — prioritizing performance, reliability, and impact over novelty. * Collaborate cross-functionally with engineering, product, and domain experts to shape AI-native solutions for complex regulatory challenges. 🙌 What We're Looking For * 5+ years of experience in machine learning engineering, with a strong track record of deploying and scaling models in production environments. * Deep expertise in natural language processing and large language models (e.g., OpenAI GPT, Claude, Hugging Face models). * Practical experience with retrieval systems (e.g., FAISS, Elasticsearch, vector databases). * Proficient in Python and ML frameworks like PyTorch, TensorFlow, and ecosystem tools like scikit-learn. * Proven experience applying machine learning to real-world systems, with a strong focus on delivering measurable business impact. * Experience with ML model deployment, monitoring, and scaling in a cloud environment (AWS, GCP, or Azure). * Strong architectural thinking, ability to reason across the full ML stack, and a bias for shipping fast and iterating. * Comfortable working in fast-moving, ambiguous startup environments with a high degree of ownership and autonomy. 💙 Benefits * 📈 Equity packages * 💰 Competitive Salary * 🩺 100% Paid health, dental & vision coverage * 💻 Home office & equipment stipend * 🍽️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen * 🚍 Commuter benefits * 🎤 Team building events * 🌴 Unlimited PTO Compensation Range: $175K - $245K

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • 6+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job DescriptionAbout the ANA The ANA’s (Association of National Advertisers) mission is to drive growth for marketing professionals, brands and businesses, the industry, and humanity. Founded in 1910, the ANA provides leadership that advances marketing excellence and shapes the future of the industry. Our membership includes more than 20,000 brands and 50,000 industry professionals that collectively invest $400 billion in marketing and advertising annually. It consists of U.S. and international companies, including client-side marketers, nonprofits, universities, and marketing solutions providers, which include ad agencies, marketing data science and technology suppliers, law firms, consultants, and vendors. We are obsessed with delighting our members through superior products and services and an unwavering commitment to helping them become more effective marketers, build stronger brands, develop a more productive industry, and benefit humanity through bold leadership and innovation programs. Location New York City (hybrid) Position Summary The Association of National Advertisers (ANA), the premier trade association representing client-side marketers, is seeking a dynamic and strategic Senior Vice President, Deputy Chief Information Officer (Deputy CIO) to join our innovative technology team. Reporting directly to the CIO, this pivotal role will take on high-impact responsibilities to shape and execute ANA’s technology vision. Our small to mid-sized technology team supports infrastructure across two offices, a data center, and remote staff in over six states. We are looking for a seasoned leader with a robust technical background and proven expertise in managing diverse technology operations to drive our mission forward. Primary Responsibilities: Collaborate closely with the CIO to lead and oversee critical technology initiatives, including but not limited to: • Strategic Technology Planning: Partner with business units and technology leaders to develop and prioritize ANA’s technology roadmap, including system selection, AI research and adoption, hardware planning, and vendor resource management. Oversee budgeting for capital and operating expenses., • Software Development Leadership: Guide the internal software development team on prioritization, quality assurance, vendor coordination, and architectural strategy to deliver robust solutions., • Data Analytics Partnership: Work with analytics teams to enhance data insights using Microsoft Power BI and related platforms, driving informed decision-making., • Security and Compliance: Own policies and procedures for system security, data backup, retention, and compliance, including PCI standards., • Technical Support Oversight: Ensure high-quality, responsive technical support and effective case management across all levels., • Vendor and Contract Management: Manage relationships with key vendors such as AWS, Atlas, Azure, VMware, Microsoft, and external development partners, including contract negotiations and performance oversight., • Executive Reporting: Deliver clear, concise reports on project progress and departmental performance to executive leadership.Professional Experience and Qualifications, • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field; equivalent experience in relevant areas considered., • Experience: 10–15 years of progressive experience leading mid-sized technology teams, with a focus on software development and infrastructure management., • Leadership: Exceptional communication and collaboration skills, with a track record of leading cross-functional teams and driving strategic initiatives., • Technical Expertise:, • Proven experience in network design, maintenance, and operations., • Strong background in vendor evaluation, RFP processes, contract management, and ongoing vendor oversight., • Expertise in implementing and managing data-use, privacy, and PCI compliance policies., • Familiarity with ETL processes, Data Warehousing, and Business Intelligence systems (e.g., Microsoft Power BI)., • Experience with multiple vendors’ cloud services including VPCs, servers, storage, firewalls, load-balancing, and WAF., • Experience deploying and managing enterprise-wide Microsoft 365 implementation including Office Suite, Copilot, Planner, and other cloud applications., • Familiarity with Retrieval-augmented Generation AI initiatives including vector databases and large-language model integrations., • Experience managing small to large scale projects including scope documents, project plans, reporting, and an understanding of one or more project management methodologies., • Financial Acumen: Demonstrated ability to manage technology budgets, including operating and capital expenditures., • Preferred Skills:, • Experience with the full software development lifecycle and managing development teams., • Proficiency in programming languages such as C, C++, Python, or PHP. Comprehensive health and wellness benefits, 401k with company match, hybrid workweek and flexible scheduling, generous paid time off program, casual dress code, incentives, and rewards. To Apply If your skills, experience, and enthusiasm align with the requirements and responsibilities of this position, please forward your resume with a cover letter and salary requirements to . Note: only applicants who include salary requirements will be considered. Powered by JazzHR c32BfM0mbJ

Job DescriptionCompany Description Order.co is a B2B Ecommerce Platform that simplifies purchasing. Our strength has always been our unique edge: transforming how businesses connect with vendors through our marketplace. We're not just improving workflows - we're redefining how procurement, operations, accounting, and payments come together to drive efficiency and innovation. Every step - requisition, approval, payment, and reconciliation - is curated and automated to make purchasing across all your vendors, locations and teams as easy as purchasing for your personal lives. Founded in 2016 and headquartered in New York City, Order.co oversees nearly half a billion dollars in annualized spend across hundreds of customers like WeWork, SoulCycle, and Lume. Order.co has raised $70M+ in funding from industry-leading investors like MIT, Stage 2 Capital, Rally Ventures, 645 Ventures, and more. Order.co has been proudly named as a 50 to Watch by Spend Matters and a Best Place to Work by BuiltIn. Job Description We’re looking for a Staff/Principal Level Data Scientist with strong foundations in mathematics and statistics as well as hands-on experience with cutting-edge AI tools to lead transformative data initiatives in the B2B e-commerce space. This role demands previous hands-on experience in Generative and Agentic AI and a deep understanding of neural networks, RAG architecture, and transformer technologies. This role will not only be responsible for technical delivery but also will be accountable for driving business growth through data-driven innovation. Staff/Principal level Data Scientists are expected to identify and develop technology solutions to company level objectives, make business cases to secure resources, and successfully launch and scale production projects. Impact should be measured at company level primary KPIs. Key Responsibilities * Develop and deploy advanced statistical models and machine learning solutions to improve B2B customer experience, pricing optimization, and personalization * Work hand-in-hand with the head of data to design and integrate Generative AI and Agentic AI technologies to automate and augment internal and external workflows such as product recommendations, order fulfillment, and customer support * Build scalable, end-to-end machine learning pipelines (currently using AWS SageMaker and other AWS services) tailored to high-volume transaction environments * Translate sophisticated analytical insights into strategic business recommendations, with a track record of collaborating across teams to implement solutions effectively * Design and implement complex stochastic and ensemble models to improve operations and business performance in a variety of functional areas * Take action in situations without clear data precedent, balancing the need for academic rigor with a MVP mindset and ability to iteratively deliver DS/AI Models into production * Drive experimentation frameworks and A/B testing to validate hypotheses and measure the impact of AI-driven initiatives on revenue and customer retention * Mentor and guide data scientists, fostering a culture of innovation and rigorous quantitative analysis * Evaluate and incorporate emerging AI technologies and tools to maintain a competitive edge in the fast-evolving B2B and e-commerce landscape Qualifications * Advanced degree (PhD or MS) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative discipline * 8+ years of professional experience applying statistical modeling and machine learning in B2B or e-commerce settings * Deep expertise in mathematical statistics, causal inference, and experimental design to inform complex business decisions * Proven track record of connecting technical work to measurable business results with a focus on revenue growth, customer acquisition, and operational efficiency * Comfort with a relatively even split between opportunity identification and hands-on-keyboard execution * Proven ability to quickly test and iterate between candidate models with an eye to deploying the right solution that minimizes time to delivery while maximizing the needed performance and reliability metrics * Proficient in Python and relevant AI/ML frameworks such as PyTorch, TensorFlow, HuggingFace, and LangChain * Practical experience with AWS SageMaker and deploying models in cloud environments optimized for scale and reliability * At least 1+ year of hands-on familiarity with Generative AI (e.g., LLMs, diffusion models) and Agentic AI systems tailored for internal and/or customer-facing applications * Strong communication skills with experience collaborating with sales, marketing, product, operations, and engineering teams to drive business impact * Experience with vector search databases, RAG systems, and AI orchestration for personalized content and recommendation engines Additional Information What you'll receive • You'll be at the forefront of AI innovation powering scalable B2B commerce and next-generation e-commerce experiences, • The chance to collaborate with a passionate, cross-disciplinary team dedicated to driving measurable business outcomes, • A competitive compensation package including equity and comprehensive benefits, • Flexible time off and remote work policies, • Medical, dental, vision, and 401(k) with match Order.co is an equal-opportunity employer. Applicant's qualifications are considered without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, genetic information, or any other basis prohibited by law.

Job Description Kargo creates breakthrough cross-screen ad experiences for the world's leading brands and publishers. Every day, our 600+ employees bring the power of their creativity and diversity to radically raise the bar on what mobile, CTV, AI, social, and eCommerce can do to wow consumers and build businesses. Now 20 years strong, Kargo has offices in NYC, Chicago, Austin, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Humble brag: In 2024, Kargo was recognized as a Best Place to Work by Ad Age and Built In. Who We Hire Success takes all kinds. Diversity describes our workforce. Inclusion defines our culture. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, national origin, protected veteran status, disability or other legally protected status. Individuals with disabilities are provided reasonable accommodation to participate in the job application process, perform essential job functions, and receive other benefits and privileges of employment. Title: AI Ops Lead Job Type: Permanent Job Location: New York Salary Range: $140,000 - $180,000 The Opportunity We're looking for an AI Ops Lead to architect and manage end-to-end automations that leverage AI tools like Langflow, n8n, and ChatGPT Enterprise. Operating under the Data & AI organization, this role is critical to our operational evolution—focused on eliminating manual handoffs, unifying data across platforms, and enabling dynamic systems that adapt in real-time to Kargo's fast-paced environment. You'll work at the intersection of AI engineering, systems integration, and internal enablement—proactively identifying automation opportunities, building intelligent workflows, and deploying LLM-powered agents that scale our operations across key systems such as Salesforce, Slack, Snowflake, Atlassian (Jira/Confluence), and others. The Daily To-Do Design & Automation • Build, deploy, and maintain AI-enhanced automations using orchestration tools (LangChain, n8n, etc.)., • Develop integrations with key internal systems including:, • Salesforce (e.g., automating lead enrichment, task routing), • Slack (e.g., interactive bots for data requests, alerting, approvals), • Snowflake (e.g., MCP server for Cortex agents, semantic layer), • Atlassian stack (e.g., Jira ticket creation/triage, Confluence updates), • Google Workspace, Looker, Airtable, and other productivity platforms., • Use ChatGPT Enterprise and related LLM APIs to develop internal agents for:, • Knowledge surfacing and summarization, • Workflow routing and decision support, • Dynamic content generation and classification, • Work cross-functionally with Sales, Marketing, Product, and Ops teams to discover automation opportunities and prototype solutions quickly., • Document, publish, and teach AI tooling internally to drive adoption and self-service usage., • 5–8+ years of experience in systems automation, internal tools development, or process engineering., • Hands-on expertise with orchestration platforms such as n8n, LangChain, Zapier, Make, or similar., • Proven experience integrating LLMs (OpenAI, Llama, Claude, Gemini) via APIs or enterprise accounts into production workflows., • Strong familiarity with SaaS APIs and system interoperability— such as Salesforce, Slack, Atlassian, and Google Workspace., • Proficiency in Python or JavaScript for custom connectors and automation scripting., • Experience designing or maintaining prompt libraries and embeddings-based knowledge retrieval., • Exposure to vector databases (e.g., Pinecone, Weaviate), RAG pipelines, or LangChain-type architectures.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We're a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000's fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. Job Description: We’re looking for an AI/ML Engineer who will develop, optimize, and scale machine learning models that power our next generation of user experiences. Working closely with product, engineering, and design, you’ll ensure our ML tools truly address user needs—whether they’re discovering new features, troubleshooting connectivity, or receiving proactive solutions to common issues. The role is based out of our New York office. \n Key Responsibilities: • Design & Deploy Conversational / Multi-Agent LLM Solutions, • Craft multi-agent conversational flows capable of handling a wide range of user requests—both purely informational and action-oriented., • Employ advanced LLM techniques (prompt engineering, context retrieval, multi-step reasoning) to ensure robust, context-aware dialogues, • Multi-Modal & Multi-Model Integration, • Explore different input/output formats (e.g., text, potential voice or image-based flows) to enrich user interactions, • Evaluate different models based on their intended use case, considering both technical capabilities and cost efficiency, • Platform & Pipeline Building, • Work with cross-functional teams to design data pipelines that feed your models real-time or near real-time data, • Implement best practices around model lifecycle management—versioning, containerization, deployment orchestration, etc, • Optimization & Scale, • Ensure the chat system can handle thousands (eventually millions) of concurrent interactions, maintaining low latency and high availability, • Monitor performance, define metrics (latency, user success rate, fallback rate, etc.), and iteratively improve, • Ongoing Innovation & Experimentation, • Remain current on the rapidly evolving AI/ML landscape, especially in generative models, multi-agent orchestration, and knowledge retrieval, • Propose new ways to extend AI across our platform—e.g., advanced personalization, proactive customer engagements, etc. Qualifications: • Core AI/ML Expertise, • 3+ years hands-on experience building and deploying machine learning solutions at scale, • Solid understanding of NLP techniques, including transformer models and embeddings, with hands-on experience using modern tools like Hugging Face, AWS Bedrock, and OpenAI’s API, • Backend & Data Infrastructure, • Proficient in Python or a similar language for data pipelines and model development, • Experience with cloud platforms (AWS strongly preferred), containerization (Docker, Kubernetes), and microservices, • Research & Problem-Solving Mindset, • Up-to-date on AI/ML trends—especially in multi-agent systems, generative modeling, or multi-modal approaches, • Skilled at diagnosing bottlenecks, scaling solutions, and balancing innovation against real-world constraints, • Collaboration & Communication, • Comfortable presenting complex ML concepts to non-technical stakeholders, • Passion for iterative development—able to pivot based on user feedback and product metrics. Bonus Points: • Familiarity with vector search solutions (e.g. Pinecone, Weaviate, or Elasticsearch with vector plugins), • Familiarity with building or deploying large language models and related tooling in the AWS Bedrock ecosystem, • Experience designing or contributing to multi-agent LLM frameworks or orchestrations (e.g., specialized agent-based approaches in advanced NLP) Benefits: • Competitive salary - $180k-240k (NYC based), • Gym reimbursement, • Free cellular service on the best network in the US, • Free lunch in NYC office & fully stocked kitchen, • Metrocard reimbursement, • Flexible working hours \n$180,000 - $240,000 a year\n Think you’d be a great fit? Apply to learn more!

Today thousands of leading brands and agencies use ___ to win the battle for attention with content that both humans and agents love. We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences. We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay. We're looking for a product-minded AI engineer to help us rapidly define and ship features that make all AirOps customers 10x content engineers. In this role, you'll drive the development of advanced AI systems, including our SEO Strategy Agent and Workflow Builder Copilot. You'll lead the creation of intelligent solutions that empower businesses to optimize their SEO strategy and streamline workflow creation with AI-powered assistance. Joining at a critical juncture, you'll collaborate closely with product management to shape our AI roadmap and technical architecture. * Develop and integrate LLM-powered features such as AI-assisted workflow automation, code generation, and content strategy. * Optimize AI performance through prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks. * Build and scale AI infrastructure, ensuring low-latency responses, caching, and cost-efficient model usage. * Implement AI observability and safeguards, monitoring quality, security, and compliance. * Collaborate with product and engineering teams to deliver intuitive, AI-driven user experiences. * Stay ahead of AI advancements, continuously improving our AI-powered capabilities. * Collaborate with early adopters to optimize model performance and usability. * 3+ years of experience in machine learning engineering, AI/LLM integration, or applied NLP * Proven track record of building LLM-powered applications * Strong experience with foundation models (GPT-4o, Claude, etc.) and advanced prompt engineering * Experience with embedding models (e.g., OpenAI Ada, Cohere, or local vector stores like pgvector, Weaviate, Pinecone) * Deep understanding of retrieval-augmented generation (RAG) and contextual AI response optimization * Familiarity with LangChain, or similar frameworks for orchestrating LLM-powered applications * Strong programming skills in Python (experience with AI frameworks like Hugging Face, LangChain, or OpenAI SDK) * Experience in evaluating LLM performance, running A/B tests, and implementing feedback loops for AI refinement * Solid understanding of caching, rate limiting, and cost optimization strategies for AI workloads * Ability to work cross-functionally with engineers, product managers, and end users to develop impactful AI solutions * Extreme Ownership * Quality * Curiosity and Play * Make Our Customers Heroes * Respectful Candor * Equity in a fast-growing startup * Competitive benefits package tailored to your location * Flexible time off policy * Generous parental leave * A fun-loving and (just a bit) nerdy team that loves to move fast!

iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services, approximately $945 billion in global client assets invested in 1,940 funds, as of June 2025. iCapital has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award (See link below). About the Role iCapital is seeking an experienced and forward-thinking AI/ML Engineer Vice President with a strong engineering background and experience leading technical teams. The ideal candidate thrives at the intersection of AI/ML systems engineering, platform development, and intelligent agent design. This individual will play a key role in building and scaling AI capabilities across our platform, with a focus on production-grade systems rather than data science. If you are passionate about developing systems that go beyond traditional ML models—systems that can reason, plan, and act in dynamic environments using tools, APIs, and memory—this is the role for you. While this is primarily a hands-on engineering position, this role will also provide technical leadership, mentor junior engineers, and collaborate cross-functionally to shape our AI strategy and execution. Responsibilities • Design, build, and optimize scalable AI/ML infrastructure and services powering intelligent features across our platform., • Lead the development of AI agents capable of autonomous decision-making, task execution, and multi-step reasoning across internal and customer-facing applications., • Architect and implement modular agent frameworks by integrating tools, APIs, and memory systems for dynamic and context-aware behavior., • Collaborate with product, data, and infrastructure teams to embed AI capabilities into production systems., • Drive the architecture and development of ML pipelines, model serving frameworks, and real-time inference systems., • Evaluate and integrate state-of-the-art AI tools and frameworks to accelerate development and deployment., • Provide technical mentorship and guidance to engineers, contributing to team growth and best practices., • Partner with Data Science teams to operationalize models, ensuring a smooth transition from experimentation to production., • Contribute to technical roadmaps and help define long-term AI/ML platform and agent strategy., • Optimize agent performance for latency, reliability, and safety in production environments., • Stay current with the latest research and tools in LLMs, multi-agent systems, and cognitive architectures., • Contribute to the development of internal libraries, best practices, and reusable components for agentic systems. Qualifications • 8+ years of experience in software engineering, with at least 2+ years focused on AI/ML systems, • Proven experience in building and deploying ML models in production environments, • Hands-on experience with AI agent frameworks (e.g., LangChain, Semantic Kernel, AutoGen, or custom-built systems), • Strong understanding of the ML lifecycle, including data pipelines, model training, evaluation, deployment, and monitoring, • Familiar with MLOps tools such as MLflow, Kubeflow, or SageMaker, • Deep understanding of LLM orchestration, prompt engineering, tool use, and memory architectures, • Familiar with various LLM inference engines such as vLLM or SGLang, • Experience in integrating agents with APIs, databases, and external systems, • Familiar with retrieval-augmented generation (RAG), vector databases, and knowledge graphs, • Experience deploying AI systems in cloud environments (AWS, GCP, Azure) and utilizing containerization tools (Docker, Kubernetes), • Demonstrated ability to lead projects or small teams, with excellent communication and collaboration skills, • Bachelor’s or master’s degree in computer science, engineering, or a related field, • Experience with LLMs, generative AI, or multi-agent systems in production is a plus, • Background in distributed systems or real-time data processing is a plus, • Experience in the finance industry is a plus Benefits The base salary range for this role is $180,000 to $220,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit ___ Twitter: @icapitalnetwork | LinkedIn: ___ | Awards Disclaimer: ___ For additional information on iCapital, please visit Twitter: @icapitalnetwork | LinkedIn: | Awards Disclaimer: iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Our client is looking to hire a Founding AI Engineer to build the core of their AI-powered hiring platform. Their tools help companies hire top tech talent by detecting and preventing AI-assisted fraud, while accurately measuring a candidate's genuine skills. You'll be on the front lines of this fight, architecting the systems that analyse candidate behaviour, create dynamic challenges, and deliver insights that outperform traditional interviews. • Experience building production AI systems and LLM-powered applications, • Strong foundation in RAG architectures, prompt engineering, and AI pipeline design, • Hands-on experience with model context protocols (MCP) and orchestrating complex AI workflows, • Track record of implementing AI solutions that scale to thousands of concurrent users, • Deep understanding of embedding systems, vector databases, and retrieval optimization, • Comfort working across the entire AI stack – from infrastructure to application layer, • Excitement about pioneering new approaches to AI-powered evaluation and fraud detection, • Must be able to work on-site in New York If you're ready to make a significant impact and help us build a better hiring process, we'd love to hear from you. • Competitive salary range - up to 250k USD per year. Our client is a New York-based company with a strong in-office work culture. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

The rise of generative AI is fundamentally changing how people search for information and discover brands online. Conductor is the only end-to-end, AI-first platform that enables enterprises to create high-performing, valuable content at scale and ensure their brand is found everywhere customers are looking—from Google to generative AI engines like ChatGPT. Recognized by Forrester as a Leader and #1 rated by customers on G2 and TrustRadius, we are committed to building a workplace where our people can grow and make a positive impact. Conductor is a mission-driven company with a commitment to innovation, customer success, and culture. For Conductor, success is improving the lives of everyone in our orbit—our customers, our customers' customers, our employee-owners, and our communities. About the Role We are seeking a skilled and experienced Senior Machine Learning Engineer to join our team. Reporting to the Engineering Director, the successful candidate will take on a pivotal role in designing, developing, and implementing innovative solutions to our customers' problems, while adhering to the standards and principles of our R&D department. The Senior ML Engineer will work closely with data engineers, product managers, application developers, UI/UX designers, and other stakeholders to create scalable, high-performance, reliable, and secure SaaS applications. The ideal candidate is passionate about solving problems, influencing strategic thinking, and mentoring others within the team. Reporting to the Engineering Director, this engineer’s key responsibilities are: • Design and implement end-to-end AI systems and ML pipelines, creating a scalable framework that powers iterative R&D workflows., • Orchestrate multi-model decision workflows and implement efficient agent handoff systems that optimize for both performance and user experience., • Design human-in-the-loop interactions allowing AI agents to collaborate effectively with content marketers, incorporate feedback, and refine workflows autonomously., • Optimize AI models for efficiency, interpretability, and real-world performance in enterprise environments., • Define AI evaluation frameworks and metrics to ensure continuous improvement of models and systems., • Collaborate with cross-functional teams to unlock insights, innovation, and intelligence in our applications., • Stay current with state-of-the-art techniques in AI/ML and apply this knowledge to our architectures., • Mentor other engineers and foster a culture of knowledge sharing and collaboration., • Understand challenges in the SEO space and solve problems, not just deliver features., • 3+ years of experience in software development, with at least 3 years in building scalable and secure SaaS application platforms and systems for intelligent applications., • Deep knowledge of modern technologies including:, • LLM architectures (GPT-4, Claude, Gemini), • Retrieval-augmented generation (RAG) and vector database (Milvus) optimizations, • Multi-agent AI architectures and agentic frameworks, • Experience with model evaluation, including designing self-assessment prompts and implementing performance dashboards using relevant metrics (confidence and perplexity scores, win-rate comparisons between model versions, etc.)., • Proficiency with traditional ML technologies (PyTorch, TensorFlow, AWS SageMaker, MLflow) and strong Python coding skills., • Experience with cloud technologies, particularly in data processing and distributed systems. Knowledge of AWS technologies is a plus., • Excellent communication skills, with the ability to translate complex technical concepts for both technical and non-technical stakeholders., • Solution-oriented approach using rapid prototyping, experimentation, and iterative development., • Self-directed, proactive, and comfortable working across organizational stacks, taking ownership of end-to-end problem-solving in a fast-paced environment. Compensation: Conductor maintains competitive, performance-based compensation programs. The NYC base salary range for this role is currently $110,000 - 130,000 per year. Placement within that range will be dependent on experience. Benefits: Conductor offers the following attractive benefits and perks including: 100% covered employee medical plan, a dental & vision plans, 401(k) with employer contribution, an unlimited vacation policy, 10 sick days, short-term disability, long-term disability, generous paid parental leave, employee assistance program, flexible savings accounts, paid holidays, life and accidental death insurance, and a host of perks. Conductor LLC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Bringing in diverse perspectives and challenging our assumptions is the clear key to growth; it drives innovation, creativity, faster problem-solving, and stronger decision making. All aspects of employment including the decision to hire, promote, train, discipline, or discharge, will be based on merit, competence, performance, and business needs. Conductor does not discriminate against any employee or applicant on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, or other characteristics protected by state or federal law or local ordinance. In addition, it is the policy of Conductor to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

About the job About Us We're a venture-backed startup building an innovative AI-driven platform called Proxi for policy professionals. Our product helps users navigate complex regulatory, legislative and emerging compliance environments through a voice-driven interface powered by our cutting-edge semantic search pipeline operating over our immense legislative and regulatory data corpus. Our team's experience spans roles across the White House, State Department, K&S Law, Microsoft and Datadog. The Role You'll join our founding engineering team to enhance and scale the existing data infrastructure and processing pipelines that form the backbone of our platform. Working with our current systems, you'll help expand our real-time data velocity advantage and optimize our scalable architecture that handles vast amounts of legislative and regulatory information while supporting seamless voice interactions. Location: New York City \n Key Responsibilities • Extend and optimize our real-time data ingestion pipelines to incorporate additional legislative and regulatory sources, • Enhance our document processing workflows to support new data formats and improve efficiency, • Optimize existing database schemas and search indices for improved performance, • Scale and refine our cloud infrastructure to maintain reliability as we grow, • Enhance our low-latency voice streaming and real-time conversation capabilities, • Improve and maintain our CI/CD pipelines for streamlined deployment, • Extend our NLP-enhanced data transformation systems to support new use cases and data types, • Collaborate with ML engineers to support evolving data needs for relevance and personalization systems Requirements • Strong Python proficiency for backend development and data processing, • Experience with cloud platforms (GCP preferred) including serverless computing and storage, • Must have Expertise in optimizing and scaling existing data pipelines and ETL processes, • Strong database skills with PostgreSQL, including query optimization and performance tuning, • Experience with real-time streaming architectures and low-latency response systems, • Experience with containerization (Docker) and CI/CD workflows, • Knowledge of search technologies and vector storage solutions, • Understanding of asynchronous programming patterns in Python, • Experience with API development using modern frameworks, • Strong problem-solving skills for troubleshooting complex distributed systems Nice to Have • Experience with API integration for comprehensive data collection, • Background in legislative or regulatory data processing, • Knowledge of workflow orchestration tools like Apache Airflow, • Experience with audio streaming and voice processing technologies, • Familiarity with MLOps practices and supporting ML systems in production, • Experience integrating and optimizing LLM usage in data workflows, • Knowledge of Infrastructure as Code (IaC) tools \n$150,000 - $190,000 a yearProxi is an AI-native platform that breaks away from the 'copilot' model where LLMs are merely added as features to existing technology. We act as an extension of the user and their interests, working 24/7 to perform work that would otherwise take hours. We're not looking for passengers; we want driven innovators with a passion for scaling robust data systems and a hunger to build on our foundation. If you're obsessed with optimizing lightning-fast data pipelines, enhancing cloud infrastructure, and expanding the capabilities of an AI-native platform with natural voice interaction, and you thrive in a fast-paced, high-stakes startup environment, this is your moment. We're building a category-defining product - don't just apply; make your mark.\n

Qdrant is a leading open-source vector search engine designed for applications powered by embeddings and generative AI. We help developers and enterprises unlock the full potential of semantic search, recommendation systems, and real-time machine learning applications. We are growing fast and looking for passionate, curious, and driven team members who want to help shape the future of AI infrastructure. We’re looking for a skilled AI Engineer who thrives at the intersection of deep technical development and community collaboration. You’ll play a dual role — driving innovation in AI-driven search and vector database technologies, while also engaging directly with our customers, developer community, and broader AI ecosystem. This is a unique opportunity to combine engineering excellence with external advocacy, helping users succeed while influencing the direction of our product and community. Engineering • Design, develop, and optimize AI/ML features in Qdrant’s core engine and SDKs., • Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain)., • Analyze performance, identify bottlenecks, and implement scalable solutions in real-world AI pipelines., • Support developers and users via GitHub, Discord, and other community channels., • Communicate complex technical concepts clearly in customer calls, demos, and onboarding sessions., • Represent Qdrant at conferences, meetups, and webinars — both as a speaker and technical expert., • Create educational content such as blog posts, tutorials, sample projects, and documentation., • Collect feedback and insights from the community to inform product development., • Strong proficiency in Python., • Solid understanding of machine learning concepts, embeddings, and vector search., • Experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, Hugging Face)., • Excellent communication skills; ability to explain technical topics to diverse audiences., • Prior experience contributing to open-source projects or engaging with developer communities., • Contributions to AI infrastructure, vector databases, or search systems., • Experience building ML-powered products in production., • Knowledge of large language models (LLMs) and retrieval-augmented generation (RAG)., • Public speaking or published technical content (talks, blog posts, tutorials)., • Familiarity with the Qdrant ecosystem or similar technologies., • Competitive compensation and equity options., • Flexible remote work environment., • Opportunity to shape the future of AI infrastructure and open-source tooling., • A passionate, transparent, and supportive team.

Who We Are Perchwell is the modern real estate listings platform built for agents to search smarter, collaborate better, and close deals faster. We are building the future of residential real estateʼs critical listings infrastructure: a platform where market research and client collaboration converge. Our modern architecture enables continuous innovation at a pace legacy systems cannot match, with AI-powered features and mobile-first capabilities designed for how agents actually work. As consumer expectations and technology evolve, Perchwell remains focused on our core vision: empowering real estate professionals with the most intelligent, data-driven, and connected platform in the industry. Backed by leading venture capital firms including Lux Capital and Founders Fund, along with strategic partnerships with some of the country's top Multiple Listing Services (MLSs), Perchwell represents the first major new platform to enter the listings technology market in decades. This unique combination of institutional investment and deep industry alignment provides both the resources and market validation needed to transform the multi-trillion dollar residential real estate industry. As a Staff Full Stack Engineer on the platform team, you’ll architect the next generation of our platform. By designing the foundational platform for our product services, you’ll help us accelerate our expansion across the real estate industry. Using your frontend and architecture expertise, you’ll create modular, performant product services and UI’s that will scale as we integrate with hundreds of client systems into the future. You will collaborate closely with the VP of Engineering, ___, and other senior leaders on Product, Data, and QA. We are looking for teammates who are excited to work from our SoHo NYC office 3 days a week. * Architect and develop the next-generation data platform. Design a system for high-throughput data and event-driven services. * Design scalable APIs and services. Implement authentication/authorization solutions as well as core service domains like geospatial and search. * Build and maintain reliable and performant infrastructure. Utilize Kubernetes, Cloud services, and other tools to drive observability best practices. * Work with cross-functional teams to deliver strategic technical initiatives. Collaborate with others in Engineering, Product and Data to achieve our goals of building a unified data platform. * 10+ years of software development experience, primarily focused on backend services, with comfort working on frontend technologies. * Expertise in distributed systems and designing scalable services on Kubernetes. * Strong proficiency with cloud platforms (AWS and/or GCP) and message passing architectures (Kafka, Red Panda, gRPC/protobufs). * Advanced backend service and API development skills using modern programming languages (Python, Golang, Rust, Ruby). * Deep understanding of software engineering fundamentals: modularity, scalability, and separation of concerns. * Experience with frontend technologies, including Typescript, JavaScript (ES6+), HTML5, CSS, and React. * Proven ability to design and implement solutions using various database types (relational, columnar, document, vector). * Skilled at integrating observability and performance monitoring into all aspects of system design. * Ability to work across service, database, and infrastructure boundaries to address design and performance challenges. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. Our ranges are based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, job-related knowledge and depth of work experience. The compensation for this position is $200-235K base salary + equity + benefits * Unlimited PTO, plus 10 paid company holidays * 401K with a company match * Medical, dental, and vision plans * HSA and FSA options * Commuter benefits * Parental leave * Company-wide onsite or offsite each year * Beautiful office in Soho, Manhattan with a stocked kitchen, catered breakfast and lunch once per week, happy hours and meet-ups Note: At this time, we are only considering candidates who are authorized to work in the U.S.

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. You'll architect next-generation retrieval and relevance solutions using Pinecone’s vector database that provide significant quality improvements for high-scale customers building A

Job Title: Cyber Command Vulnerability Management Specialist 4 Location: Brooklyn, NY 11201 Note: Hybrid: 3 days per week in office at 11 MetroTech Center, 5th Floor, Brooklyn, NY 11201 / 2 days per week remote Job Description: • The Threat Management - Vulnerability Management Specialist MWBE is essential to OTI Cyber Commands Vulnerability Management program and its ability to defend City systems from cyber threat including direct support of public safety, revenue generating, and City operations that provide everyday services to citizens., • The resource will contribute to OTI Cyber Command’s ability to issue timely vulnerability notifications and prioritized system patching info. Without timely vulnerability notification and patching, the City cannot effectively adjust its defensive controls and reduce it’s attack surface resulting in the increased likelihood of cyber events that may require costly remediation efforts., • The threat to the City’s attack surface has only continued to grow due to a 40% increase of vulnerabilities in the technology used across the City agencies. These vulnerabilities are leveraged by attackers to commit malicious events such as information theft and ransomware. SCOPE OF SERVICES • The Cyber Command Threat Management division within OTI requires a Vulnerability Management Specialist to serve as a subject matter expert for vulnerability management: Tasks ● Research, analyze and brief management and team members on relevant Risk, CVE’s, CVSS, Vector Strings, NVD, Mitre, attack vectors and mitigation for various technologies ● Design, architect and build Rapid7 vulnerability management scanning infrastructure and tools ● Manage, configure and conduct Vulnerability Management scans in Rapid7 across various networks ● Conduct vulnerability management analysis through industry research, deep analysis, generating of reports and dashboards in Rapid7 to accurately assess and prioritize risk ● Evaluate security vulnerabilities, assess risk and impact, develop mitigation strategies, and implement remediation ● Present succinct technical briefings to team members and customers for intel research, risk assessment, CVE’s, vendor hardware/software, industry trends ● Create scripts utilizing Python, PowerShell and others to automate vulnerability management tasks ● The ability to automate detection, reporting and tracking of vulnerabilities identified ● Create deep analysis and reports around vulnerability management utilizing Rapid7 dashboards and reports, scripts, Excel and PowerPoint ● Travel within NYC for various projects when necessary MANDATORY SKILLS/EXPERIENCE Note: Candidates who do not have the mandatory skills will not be considered • At least 8 years of experience in Cybersecurity, including vulnerability management scanning tools, vulnerability assessments, attack surface management, scripting, vulnerability intel analysis, vulnerability management scan result analysis, Excel, • Strong knowledge of CVE’s, CVSS, Vector Strings, NVD, Mitre, attack vectors and mitigations, • Experience with the design, architect and build of vulnerability management scanning infrastructure and tools specifically Rapid7; extensive hands-on experience conducting Rapid7 vulnerability scans across various networks; experience conducting Rapid7 vulnerability management analysis through reports and dashboards to accurately identify risk, • Experience evaluating security vulnerabilities, assessing risk and impact, developing mitigation strategies, and implementing remediation, • Experience conducting intel research around CVE’s, vendor hardware/software vulnerabilities, and presenting succinct technical overviews to team members and customers, • Extensive experience with scripting such as Python and PowerShell to automate vulnerability management tasks, • Extensive experience with Excel, especially for performing data analysis through VLookup and Pivot Tables DESIRABLE SKILLS/EXPERIENCE: ● Provide oral and written reports on vulnerability risk to the team and possibly agencies’ technical stakeholders ● Ability to evaluate the current threat landscape that includes tactics, techniques and procedures ● Work with agencies to evangelize the OTI Cyber Command program around areas of cybersecurity posture enhancement, risk reduction, attack surface management, vulnerability management scanning tool performance, scan results, credentialed scans, triage scan performance issues, socialize risk and remediation, and other vulnerability management issues ● Experience using Tableau for reporting and analysis purposes ● Strong background with next generation firewall products, intrusion detection systems, DMZ, IPSec, DNS, SMTP, HTTP, VPN, proxies, etc. ● Knowledge of security best practices across multiple platforms, such as Microsoft Windows, VMWare, Linux, VPN, Cisco IOS, and Mobile OS Android/Apple IOS. ● Knowledge of public-key cryptography, understanding of encoding, encryption, and hashing techniques ● Knowledge of security best practices: NIST, CIS, Cisco, Juniper, Palo Alto, Fortinet, Checkpoint, F5, Microsoft, Unix/Linux, etc. ● Ability to analyze Cybersecurity documentation, including security policies, plans, and procedures. ● Extensive experience with Windows and Linux Servers ● Exceptional written and oral communication skills ● Exceptional organizational and analytical skills ● Certifications such as Certified Information Systems Security Professional (CISSP) Certification, Security Essentials Certification (GSEC), Certified Intrusion Analyst (GCIA), Certified Incident Handler (GCIH), Certified Ethical Hacker (CEH), Certified Penetration Tester (CWAPT) If you are: bright, motivated, skilled, a difference-maker, able to get things done, work with minimum direction, enthusiastic, a thinker, able to juggle and multi-task, communicate effectively, and lead, then we would like to hear from you. We need exceptionally capable people for this role for our client, so get back to us and tell us why you think you are a fit. About Us: Since 2000, Tri-Force Consulting Services (___) has been an MBE/SDB certified IT Consulting firm in the Philadelphia region. Tri-Force specializes in IT staffing, software development (web and mobile apps), systems integration, data analytics, system automation, cybersecurity, and cloud technology solutions for government and commercial clients. Tri-Force works with clients to overcome obstacles such as increasing productivity, increasing efficiencies through automation, and lowering costs. Our clients benefit from our three distinguishing core values: integrity, diligence, and technological excellence. Tri-Force is a six-time winner among the fastest-growing companies in Philadelphia and a four-time winner on the Inc. 5000 list of the nation's fastest-growing companies.

📐 About this role We are seeking a talented Full-stack engineer to join our dynamic and growing team at Writer. As a key member of our engineering team, you will play a crucial role in building the future of AI-assisted software development. Your primary focus will be on developing a cutting-edge low-code/no-code platform that leverages generative AI to create frontends, workflows, and backends from natural language prompts. By designing and building core components, defining and enforcing best practices, and integrating advanced AI features, you will directly impact the efficiency and effectiveness of our platform, enabling users to create sophisticated applications with minimal coding effort. Additionally, your contributions to collaboration features such as commenting, notifications, and real-time updates will enhance the social and interactive aspects of our platform, fostering a more connected and productive user community. 🦸🏻‍♀️ Your Responsibilities * Design and build core components: Develop and maintain the core components of our low-code UI builder and no-code workflow builder using Python and Vue. * Define and enforce standards: Establish and enforce backend engineering standards, including typing, linting, testing, and code organization. * Integrate AI tooling: Integrate and maintain AI-powered agent tooling to support prompt-based UI and backend generation. * Backend services and APIs: Develop robust backend services and RESTful APIs using Python (FastAPI). * Frontend development: Create intuitive and user-friendly frontend interfaces using JavaScript/TypeScript (React or similar frameworks). * Scalable infrastructure: Integrate AI services with scalable cloud infrastructure (e.g., GCP, AWS, Azure) and CI/CD pipelines (GitHub Actions, ArgoCD, etc.). * Collaborate on dev tooling: Work closely with the infrastructure and dev tooling teams to enhance our internal developer experience and CI/CD pipelines. * Monitor and optimize: Ensure the monitoring, observability, and performance of deployed AI features using tools like Prometheus, OpenTelemetry, or DataDog. * Best practices advocacy: Promote software engineering best practices and actively participate in architectural decisions. * Collaboration features: Collaborate with the design and product teams to deliver social collaboration features such as commenting, notifications, and real-time updates. * Holistic solutions: Contribute to both backend and frontend codebases, delivering comprehensive and integrated solutions. * Third-party integrations: Integrate third-party APIs, AI providers, and logging/observability tools as required. ⭐️ Is This You? * 5+ years of experience in full-stack software engineering. * Expert-level knowledge of Python, particularly in building production systems (mypy, typing, tests, etc.). * Experience with Vue.js and TypeScript, or a willingness to quickly learn Vue if coming from React. * Strong understanding of web performance, frontend testing, and browser architecture. * Experience integrating REST APIs and OAuth, with a preference for AI service integration. * Familiarity with CI/CD, infrastructure-as-code (basic YAML is a plus), and developer tooling. * Proven ability to help teams adopt technical best practices. ✨ Preferred Skills and Experience * Strong enforcement of Python best practices. * Deep knowledge of cloud infrastructure and services. * Experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). * Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS). * Experience with RAG (Retrieval-Augmented Generation), LLMOps, or LangChain/LlamaIndex. * Proficiency with Infra-as-Code tools like Terraform. * Understanding of data pipelines, Kafka, or Airflow.

___ builds the infrastructure that underpins exceptional customer support, empowering companies like CashApp, Etsy, and Robinhood to deliver faster, better service at scale. With solutions for workforce management, BPO collaboration, and AI-powered issue resolution, Assembled simplifies the complexities of modern support operations by uniting in-house, outsourced, and AI-powered agents in a single operating system. Backed by $70M in funding from NEA, Emergence Capital, and Stripe, and driven by a team of experts passionate about problem-solving, we’re at the forefront of support operations technology. Our Assist Team is building autonomous AI agents that handle the most challenging aspects of customer support and let human agents focus on high-value interactions. After launching the product's go-to-market motion, the Assist product line grew 5x in just 3 months to millions of ARR, with a strong pipeline of deals for even more growth. We're already deploying our systems at leading tech companies like Canva, Patreon, and Babylist, giving us complex real-world scenarios to solve with rapid feedback loops. The engineering challenges are significant: building autonomous agents that can reliably handle customer interactions, designing systems that scale across communication channels, and pushing the boundaries of what's possible with current LLM technology. Operating as an team led by CTO John Wang, we're focused on eliminating low-leverage support work and helping agents send faster, more accurate replies. Examples of what you might work on: * * * As a Software Engineer on the Assist Team, you will: * Build foundational new features: Develop product features from the ground up, such as implementing translation capabilities powered by LLMs and intelligent categorization of incoming tickets. You’ll help design and build a workflow builder that distills the complexity of workflows into a simple, intuitive interface, making powerful tools accessible and easy to use for support agents. * Improve LLM model results: Enhance our retrieval augmented generation engine using techniques like vector search, document re-ranking, and hypothetical document embeddings. You’ll help us leverage implicit knowledge bases like past tickets and macros to improve model performance. * Develop LLM Infrastructure: Architect the abstractions that enable the integration of various types of LLMs tailored for different applications. You’ll design and implement evaluation and logging systems to monitor performance and build interfaces that expand our platform's capabilities. * Engage with customers: Collaborate with our customers (both support agents and managers) to understand their needs, how they interact with our product, and how we can improve their lives. * Wear many hats: Be versatile in roles — coding, user research, planning, brainstorming, interviewing, and cross-team collaboration. * Shape the team culture: Encourage a startup mentality that’s all about staying positive, aiming for top-notch product quality, and taking initiative. You might be a good fit if you: * Have 5+ years of experience in software engineering as an individual contributor. * Are highly ambitious and driven and set high goals for yourself and others. * Put customers first, focusing on real problem-solving and making life easier for support agents. * Enjoy fast-paced environments and can quickly adjust when new insights come from customers or prospects. * Have a bit of a maverick streak that helps you come up with creative solutions for tough problems. * Have made a noticeable impact on small teams and have solid experience contributing in startups or smaller companies. * Have worked with LLMs and are excited to dive into them every day. * Stay humble and open to feedback, value teamwork, and are always ready to learn and grow. * Generous medical, dental, and vision benefits * Paid company holidays, sick time, and unlimited time off * Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting * Paid parental leave * Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices * 401(k) plan enrollment

Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care from the comfort of your home, at our practices in Palm Beach and New York, or wherever you are in the world. We bring together a multidisciplinary team of renowned, in-house physicians to provide proactive, preventive, and precision-based care for Atria members and their families. We aim to optimize the lifespan and healthspan of all our members through meticulous screening and tailored interventions to prevent, reverse, or manage all major chronic diseases. Each member’s care is led by a dedicated Chief Medical Officer who collaborates on your behalf with specialists in cardiology, neurology, pediatrics, gynecology, endocrinology, performance and movement, and more. Our exceptional clinicians also work closely with the 60+ members of the Atria Academy of Science & Medicine, top experts in their respective fields who are available for rapid consults, support, and referrals. Atria Health is seeking a Principal AI Technical Product Manager to define and drive AI product strategy across the organization. This role serves as the bridge between domain product teams (Clinical Experience, Member Experience, Care Delivery) and the AI/Data platform team, ensuring that AI platform capabilities can deliver high-value, member- and clinician-facing outcomes. In collaboration with Product Delivery Teams, you will translate workflows, inputs, and expected outputs into AI platform workstreams. You will work with the AI Engineering team to develop models, tools, and infrastructure that enable the desired outcomes, while Product Engineering teams focus on implementing features in the platform. This role ensures AI initiatives are aligned with both technical feasibility and strategic product goals. This is a senior individual contributor role with high strategic visibility, not a people management role. Here are some examples of the types of projects this role would own: • Building prototypes of AI-powered experiences using tools such as Python notebooks, API integrations, and prompt engineering to validate concepts before full engineering implementation., • Building scrappy proofs-of-concept to explore feasibility and inform product direction., • Engaging with LLMs, embeddings, vector search, and generative AI workflows to guide solution design., • Building and running small-scale experiments with real data to validate models or approaches., • Partnering with the Clinical PM to create the platform capabilities that power clinical workflows that use AI, • Improving the AI layer and models to improve the outputs of AI based workflows AI Product Strategy & Vision • Define a clear vision for AI across member, clinician, and operational experiences., • Partner with Clinical Experience, Member Experience, and Care Delivery PMs to understand feature goals, expected value, required inputs/outputs, and workflow integration., • Collaborate with Product Engineering teams to ensure features are built with AI capabilities in mind., • Partner with AI Engineering to develop models, algorithms, and platform capabilities to support both current and upcoming product initiatives., • Define AI platform requirements to support multiple product initiatives, • Work with the VP of Data + AI and engineering leads to ensure infrastructure and model development are prioritized appropriately., • Proactively identify new AI use cases from member, clinician, and operational perspectives., • Ensure all AI solutions meet regulatory, security, and ethical standards, including HIPAA compliance., • 7+ years of product management experience, with at least 3 years in AI/ML-focused or data-intensive product roles., • Proven experience bridging technical platform teams with domain product teams to deliver AI-enabled solutions., • Strong understanding of AI/ML concepts, data pipelines, and model lifecycle management., • Experience in health tech or similarly regulated industries preferred., • Exceptional collaboration and communication skills, able to align cross-functional teams., • Track record of delivering complex AI or data-driven product initiatives., • Bachelor’s degree required; advanced degree in computer science, data science, or related field preferred. Reports to the VP of Product & Engineering. Hybrid role based in New York City, with 3 days/week in the office (Tuesday–Thursday). Compensation: $190,000 - 250,000 • Excellent health and wellness benefits, 100% paid by Atria effective date of hire, • Flexible Time Off, • 401k match at 4% effective after 6 months, • Fitness perks including Wellhub+, • Time to give back and make an impact in underserved communities

Job DescriptionAbout Us At Vector Media, we’re building the future of Mobility Marketing, where media moves with people, meets them in real life, and makes a lasting impression. In an advertising world cluttered with screens and scrolls, we deliver real-world media with real results. From digital bus shelters and street-level storytelling to experiential activations, college campus and sports partnerships, we connect brands with audiences in the moments that matter most. Our high-impact media, including fully wrapped vehicles and custom-built experiential assets, turns heads in cities nationwide. And with a presence in 50+ markets, we bring campaigns to life across communities, cultures, and coasts. Founded in 1998, Vector has grown from an OOH disruptor into a full-service platform built on data, creativity, and movement. We call it Marketing in Motion, an approach that blends storytelling and strategy to drive results across every channel we touch. But what truly sets us apart is how we show up: as partners. With our clients. With our media partners. With each other. Through accountability, innovation, and shared ambition, we’re helping brands do more than reach people, we’re helping them move people. What We Value • Accountability: Taking ownership of our actions, learning from mistakes, and earning trust through responsibility., • Growth: Supporting personal and professional development, knowing that when our team members thrive, the company thrives., • Excellence: Always striving for the best possible results and never settling for “good enough”. The Sr. Director/Vice President of Experiential Activation is responsible for the end-to-end ideation, planning, budgeting, production, and execution of all experiential programs, ensuring delivery is on time, on budget, and aligned to profitability targets. This senior leader owns the full activation lifecycle—from translating client goals into executable concepts, to detailed design and vendor contracting, through final delivery and financial reconciliation. The role requires deep expertise in production logistics, budget management, and cross-functional leadership to optimize cost efficiency and drive operational excellence. Base Salary Pay Range Details: $100,000 - $150,000 per year. This role includes a base salary and annual bonus potential. The salary range is subject to change and may be amended in the future. Experience, education, skills, and other factors are considered when determining the salary offered. Who You Are • A creative force with a passion for bringing brands to life through unforgettable experiences., • A collaborative leader who thrives on working with cross-functional teams to deliver integrated, exceptional, and impactful campaigns., • 10+ years of experience in experiential production, event operations, or related project management, with at least 5 years in a senior leadership role., • Proven track record of successfully conceiving, planning, and executing complex, high-impact experiential campaigns., • Deep familiarity with venues, regulations, vendor landscape, and consumer insights is essential., • Strong creative vision combined with a pragmatic understanding of production logistics and budget realities., • Proven track record of managing large, complex budgets and driving profitability across multiple concurrent programs., • Deep understanding of experiential production workflows, permitting, and vendor ecosystems., • Strong negotiation and contract management skills., • Excellent organizational, problem-solving, and communication abilities., • Comfortable leading on-site activations, including occasional evenings or weekends as needed., • Proficiency with budgeting and project management tools (Excel, Smartsheet, Asana).Responsibilities Program Strategy & Development • Develop and champion a cutting-edge experiential marketing strategy that aligns with client objectives and company growth goals, integrating seamlessly with our outdoor and mobility marketing offerings., • Lead the development and execution of diverse experiential campaigns, from pop-ups and interactive installations to large-scale events and brand immersions., • Translate client briefs and marketing objectives into executable experiential plans that balance creativity with operational feasibility and financial discipline., • Oversee all project phases, creative development, budgeting, vendor selection/management, logistics permitting, production, and on-site flawless execution., • Maintain a solutions-oriented approach to delivering complex programs within budgetary and contractual parameters.Budget Management & Profit Optimization, • Develop comprehensive budgets for all experiential activations, including materials, labor, logistics, vendor costs, and contingencies., • Oversee P&L for each program, ensuring alignment with margin targets and company financial objectives., • Proactively track costs, identify potential overages, and implement corrective actions to protect profitability., • Partner with Finance to reconcile project budgets, manage invoicing, and ensure timely closeout and reporting., • Establish processes to continuously improve budget forecasting accuracy and cost controls.Vendor Sourcing & Contracting, • Identify, negotiate, and contract with production vendors, fabricators, staffing partners, and logistics providers., • Maintain preferred vendor relationships to leverage buying power, optimize pricing, and uphold quality standards., • Ensure all agreements are structured to protect the company’s financial and operational interests.Execution & Delivery, • Oversee all production and activation phases, from permitting and fabrication through installation, live execution, and takedown., • Serve as the primary escalation point for operational and budget-related issues during execution., • Implement rigorous quality control and risk management processes to ensure flawless delivery and compliance.Cross-Functional Collaboration, • Work closely with Sales, Operations, Creative, and Finance teams to align experiential programs with broader campaigns and business objectives., • Present activation plans, budgets, and post-project financials to clients and internal stakeholders., • Foster a shared commitment to delivering high-quality experiences within defined budget parameters.Team Leadership & Development, • Build, lead, and mentor a high-performing experiential activation team, instilling a culture of accountability, cost discipline, and operational excellence., • Develop team capabilities in budgeting, production management, and vendor negotiation.Preferred Qualifications, • Experience working in out-of-home media or large-scale experiential activations., • Familiarity with compliance and safety standards in public event environments. 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Job DescriptionAbout Us At Vector Media, we’re building the future of Mobility Marketing, where media moves with people, meets them in real life, and makes a lasting impression. In an advertising world cluttered with screens and scrolls, we deliver real-world media with real results. Our high-impact media, including fully wrapped double decker buses and custom designed experiential experiences, turn heads in cities nationwide. And with assets in 50+ markets, we bring campaigns to life across communities, cultures, and coasts. Our experiential team allows us to activate anywhere in the country. Vector Media’s wide variety from double decker buses, light rail, digital bus shelters and a wide variety of experiential assets enables brands to connect with consumers at the street-level in cities, college campuses and sporting events. We connect brands with audiences in the moments that matter most. Founded in 1998, Vector has grown from an OOH disruptor into a full-service platform built on data, creativity, and movement. We call it Marketing in Motion, which brings unique benefits of high impact and efficiency because we bring the advertising to audiences wherever they are. But what truly sets us apart is how we show up: as partners. With our clients. With our media partners. With each other. Through accountability, innovation, and shared ambition, we’re helping brands do more than reach people, we’re helping them move people. What We Value • Accountability: Taking ownership of our actions, learning from mistakes, and earning trust through responsibility., • Growth: Supporting personal and professional development, knowing that when our team members thrive, the company thrives., • Excellence: Always striving for the best possible results and never settling for “good enough”. The Vice President Brand Partnerships will report to the EVP, Brand Partnerships. This position is an individual contributor sales position that proactively calls on companies, and senior brand, marketing, media and experiential decision-makers. The VP Brand Partnerships will have an expertise in strategic selling, establish and cultivate relationships through proactive outreach (via phone calls, emails, in person meetings) with prospective customers such as CMO’s, SVP/VP’s Marketing, Brand Managers, Media Directors and Head of Experiential/Events. They will leverage Vector Media’s unique asset offerings and delivery methodologies positioning Vector Media as a media partner of choice within the nationwide markets we serve. This position will monetize all of the Vector portfolio including our fleet of fully wrapped Double Decker buses, public transit & Experiential Assets to brands direct. The VP will also partner with Vector’s National agency team to build comprehensive account plans and collaborate transparently as business potentially moves from client interest to activation with their agency partners. The VP role may also have the opportunity to manage a team in future. This role is based in New York, NY. Total Compensation Package Range Details: $275,000 - $350,000 including salary ($120,000-$175,000), earned commissions and potential for bonus. The salary and total compensation range is subject to change and may be amended in the future. Experience, education, skills, and other factors are considered when determining the salary and level of position offered. Who You Are: • A quick learner, self-motivated with a strong sense of professionalism, good organizational skills, ability to prioritize, multi-task and meet tight deadlines., • A thorough worker focused on attention to detail., • An entrepreneurial spirit that's motivated to drive business growth., • Bachelor’s degree., • 7-10+ years of media sales experience., • 5-7+ years of experience selling to brand-direct clients (not agencies)., • Strong book of direct clients across full spectrum of industry verticals, • Deep relationships with clients at CMO, Media Director, Brand Manager level, • Proven sales track record activating and retaining new brands (has strong brand-direct clients and can make immediate impact)., • Polished sales, presentation, and communication skills., • Exceptional team player, interested in working as part of a highly coordinated, focused organization., • Proactively identify new revenue opportunities; drive account growth and profitability acceleration including new business, up-sell and cross-sell opportunities., • Own extensive client communication, strategic planning and troubleshooting account complications to promote client satisfaction; develop and improve executive level relationships within named account(s)., • Provide thought leadership and consultation on aligning client business needs to products, solutions and services offered., • Drive contract negotiations for business in support of new sales, account growth and contract renewals. Powered by JazzHR qjZbmMy6ll

Job DescriptionAbout the Company Our client is a leading AI infrastructure provider operating a full-stack cloud platform designed for intensive AI workloads. The company features proprietary hardware and software architecture, including servers, racks, and data center designs. They're building comprehensive infrastructure for the global AI industry with large-scale GPU clusters and developer tools. The Mission Democratize access to cutting-edge AI infrastructure that accelerates global AI innovation at speed and scale, empowering builders worldwide. The Opportunity As the GTM Lead, you'll shape market positioning for Financial Services solutions, including cloud infrastructure, virtualization, and NVIDIA-powered platforms. This is a unique opportunity to lead GTM efforts across banks, asset managers, insurers, and fintechs within a well-funded, rapidly scaling organization. What You'll Do * Lead GTM strategy for the Financial Services vertical with enterprise-ready cloud and AI solutions * Target customer segments including banking, insurance, asset management, and fintech * Build distribution strategies with product, engineering, and industry experts * Drive early-stage sales from prospecting through deal structuring and onboarding * Develop positioning, messaging, and GTM assets with cross-functional teams * Build ecosystem partnerships with NVIDIA, fintechs, consultancies, and VCs * Represent the company at financial industry events and thought leadership forums * Lead hiring and mentorship for GTM-facing roles as the vertical grows What You Bring * GTM or product leadership experience in financial services, cloud/AI infrastructure, or fintech * Proven success launching new products or verticals from scratch with founder-like ownership * Strong sales and stakeholder engagement skills with senior decision-makers * Strategic partnership experience (e.g., NVIDIA or similar platforms) * Familiarity with AI/ML infrastructure (LLMs, RAG, vector DBs, NLP) * Knowledge of enterprise sales cycles and financial services compliance expectations * Bonus: experience in trading, fraud, or risk tech; understanding of GLBA, FFIEC, FINRA, MiFID II; deep network in FSI Key Success Drivers * Executive presence with healthy assertiveness and collaborative leadership * Curiosity and insight into enterprise AI infrastructure and financial applications * Comfort operating in a high-growth, less-structured environment * Cross-functional alignment and innovation mindset * Professional maturity and transparent communication Why Join? * Competitive compensation ranging from $180,000 to $300,000 per year (base salary plus performance bonuses and RSUs) * 100% company-paid medical, dental, vision for employees and families * Flexible remote work environment * 401(k) with 4% match, disability/life insurance * 20 weeks parental leave (primary), 12 weeks (secondary) * Up to $85/month for mobile and internet * Opportunity to work with cutting-edge AI and cloud technologies * Contribute to sustainable AI infrastructure with energy-efficient data centers * Be part of a team that operates one of the most powerful commercially available supercomputers Interviewing Process * HR Screening * Level 1: Hiring Manager interview (General fit) * Level 2: Interview with Head of Product (In-depth) * Level 3: Interview with Head of Sales (In-depth) * Level 4: Case Study * Reference and Background Checks: conducted after successful interviews * Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $180K - $300K

Job Description SOFTWARE DEVELOPER – GENERATIVE AI Global Investment Firm J Harlan Group is currently conducting a search for a GENITATIVE AI SOFTWARE DEVELOPER at a prominent Global Investment Firm in NYC. Technology is integral to virtually everything they do. They're seeking exceptional software developers with expertise in generative AI (GAI) to join their team. As a software developer in GAI, you'll work on innovative projects, leveraging your quantitative and programming skills to advance their GAI initiatives. By making GAI more accessible for both technical and non-technical users across the firm, you'll drive substantial business impact. You'll work with smart, talented people across their business to create groundbreaking, next-generation data intensive machine learning applications. You'll be involved, hands-on, through the entire cycle. They will expect you to be agile / to lead / to think outside the box. In return, they'll give you challenging work that has an impact / Opportunities to learn and grow / and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that's how we help our clients succeed. Principal Responsibilities: Contributing to their efforts in advancing GAI capabilities. Potential areas of focus include: • Developing and maintaining shared GAI infrastructure and applications, ensuring firmwide data integration and enhancing software development across the firm., • Working on foundational building blocks, such as vector databases and LLM gateways, to support AI tools and applications., • Leveraging state-of-the-art cloud models for scalable and high-availability solutions., • Scaling the adoption of GAI tools, expanding AI models, and integrating them with internal knowledge sources to drive innovation., • Collaborating with internal groups and end users to accelerate AI product development and deployment, tailoring solutions to their needs., • Experimenting new AI-driven tools and applications, integrating them into various platforms, and facilitating collaboration to enhance the effectiveness of AI applications., • Strong computer science and technical background with exceptionally, creative “Hands-On” High Impact GAI Development experience., • Successful developers have traditionally been top performers in their academic programs and possess a strong foundation in AI-related projects., • They welcome outstanding candidates at all experience levels who are excited to work in a collegial, collaborative, and fast-paced environment., • Strong desire to contribute and build a business – not just solve novel problems. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a prominent multinational investment management firm. The company manages a variety of investment funds that make extensive use of quantitative methods and proprietary computational technology to support fundamental research in the management of its investments. They have a relentlessly focuses on innovation and integration: innovation in new products, markets and businesses as well as new tools, models and technology management and performance structures; integration of fundamental research, quantitative strategies and technical analysis, all supported by an intensive focus on operational excellence and comprehensive risk management. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The expected annual base salary for this position is $200,000 to $250,000. Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.

Job Description About AnthologyAI AnthologyAI is a venture-backed Personal Intelligence company headquartered in New York City. We deliver ethical, AI‑powered consumer intelligence by transforming real-time, consent‑based behavioral data into predictive, actionable insights for enterprises across financial services, retail, media, and beyond . With datasets capturing over 100 million consumer transactional and location data points each day, our platform enables clients to detect emerging trends, optimize strategies, forecast outcomes, and gain competitive edge—while maintaining a privacy‑first, transparent, and compliant approach . Why Join Us? We’re at the forefront of innovation in Personal AI—building products that are as intuitive as they are powerful. Our data products cover retail, food delivery, ride sharing, streaming, travel, and personal finance—delivered in real time, with row-level detail and customizable insights at scale . From empowering decision-makers to providing next-gen data products for marketers and investors, AnthologyAI enables bold, data‑driven transformation across industries This position reports directly to the Founder and will be instrumental in leading software development for the AnthologyAI platform. As Lead Engineer, you’ll collaborate with cross-functional individuals to design core architecture and bring it to life with an agile, high-performance development team. You’ll play a hands-on role in shaping the future of our product, contributing to everything from architectural decisions to code quality. You will also oversee and coordinate work with third-party vendors and contractors to ensure successful delivery across all components of the platform. • Own the technical integrity and scalability of software components across our mobile, application, and data platforms, • Lead estimation and planning efforts for upcoming work aligned with the company’s vision and strategic priorities, • Partner with leadership to design, develop, and maintain solutions that meet key business requirements, • Serve as a hands-on technical leader, actively contributing code and guiding the team through complex engineering challenges, • Document systems and solutions, including architecture diagrams, use cases, deployment plans, best practices, and support materials, • Debug existing systems, and drive continuous improvement in code quality and developer productivity, • Communicate effectively with technical and non-technical stakeholders, translating requirements into actionable engineering tasks, • Triage and resolve technical issues, providing leadership in diagnosing and solving complex problems, • Design and integrate with components in the AI ecosystem, including LLMs, vector databases (e.g., Pinecone), OpenAI APIs, and workflow automation tools (e.g., n8n) What you bring: Required: • Proven ability to take ownership and help guide the technical direction of a product, • 7+ years of hands-on experience across the full Software Development Life Cycle (SDLC), including building and maintaining CI/CD pipelines, • Familiarity with the modern AI ecosystem, including LLMs, vector databases (e.g., Pinecone), AI memory management, workflow automation tools (e.g., n8n), and model integration using APIs (e.g., OpenAI), • 4+ years of Java development experience (Spring Boot preferred), • 5+ years of experience developing microservices using event-driven architecture and domain-driven design principles, • 3+ years of experience leading and mentoring successful development teams, • Experience with cloud services, preferably AWS, • Familiarity with relational databases (e.g., PostgreSQL, MySQL), • Strong verbal, written, and interpersonal communication skills, • Excellent organizational, multitasking, and prioritization abilities Preferred • Industry-recognized technology certifications, • Strong analytical skills with exceptional attention to detail and accuracy, • Experience with the broader Spring framework ecosystem, • Demonstrated track record of building products from scratch, • Hands-on experience with continuous integration and continuous deployment (CI/CD) best practices, • Experience working at a startup Compensation & Location • Salary range: $210,000–$250,000 base, commensurate with experience, • Includes competitive equity, top-tier healthcare coverage, and opportunities for professional development, • This position is remote only, with a strong preference for candidates based in New York City for occasional in-person meetings 9UH5QhBdNh

Job Description This Software Engineering position is with NoGood's sister company, Goodie AI. Read on to learn more. About Goodie AI: Goodie AI is the pioneering LLM visibility and AI search optimization platform enabling the world’s top brands to own their AI narrative across leading LLMs like ChatGPT, Gemini and Perplexity. Backed by strong funding and validated by active paying customers, we are scaling fast and tackling some of the hardest AI search challenges. We are looking for an exceptional Senior Software Engineer to join our rapidly growing team. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers, and Machine Learning Engineers to design and build scalable, industry-leading AI platforms. After you apply, check out Goodie AI's website to learn even more! Why join us: • Shape the future of AI search and brand discovery—work at the cutting edge of Answer Engine Optimization (AEO)., • End-to-end ownership—drive scalability, speed, and user experience of our AI-Native platform., • Work on high-impact AI applications used by top brands., • Well-funded, fast-growing AI startup with a strong product-market fit., • Salary: $160K-$200K + Equity (commensurate with experience)., • Location: NYC-based (In-person)., • Best-in-class benefits.You'll do:, • Lead the development of our AI platform, focusing on scalability, speed, and user experience., • Architect and develop front-end solutions using React to create smooth, engaging, and intentional user experiences., • Implement back-end infrastructure with a focus on speed, scalability, security, and seamless integration with various platforms via robust API connections., • Utilize DevOps practices to manage the deployment pipeline, ensuring efficient, reliable, and secure software delivery., • Collaborate with UX/UI Designers to translate web designs into functional, intuitive user interfaces., • Work closely with Data Scientists to ensure accurate data collection, analysis, and application within the platform., • Participate in the entire application lifecycle, from coding to debugging and testing, with an emphasis on quality and performance., • Maintain and optimize the performance of existing applications., • Stay up-to-date with emerging technologies and explore potential integrations to enhance our operations., • Take full ownership of the technical delivery of projects from planning through deployment., • Translate business requirements into technical specifications and ensure alignment across engineering and product teams., • Develop project timelines, allocate resources, and monitor progress to ensure timely delivery of features and milestones., • Anticipate risks and roadblocks, proactively manage dependencies, and resolve issues to keep projects on track., • Ensure quality assurance, performance, and scalability standards are met throughout the development lifecycle. You have: • 5+ years of full-stack development experience building high-usage B2B applications., • Frontend expertise in React, TypeScript, and Next.js, with a focus on responsive, high-performance interfaces., • Experience with server-side languages such as Python, Node.js, or Java., • Strong understanding of DevOps practices, including CI/CD, containerization (Docker), and cloud infrastructure (AWS, GCP, or Azure)., • Experience with database management systems (MySQL, PostgreSQL, MongoDB)., • Solid knowledge of RESTful APIs, API integration, and data exchange formats (JSON, XML)., • Familiarity with version control (Git), automated testing, and software development best practices., • Bonus: Experience with AI search, vector databases, LLM APIs, embeddings, or retrieval-augmented generation (RAG)., • Startup-ready: thrives in fast-paced, ambiguous environments, loves shipping quickly., • Passion for ad tech, AI, and building AI-native engineering teams., • Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities, • Health First: Premium Medical, Dental & Vision Coverage, • Flex Work Environment: hybrid at HQ and remote globally, • Set Up Shop: Home Office Stipend, • Recharge Anytime: Unlimited PTO Plan, • Family First: Paid Parental Leave Plan, • Secure Your Future: 401(k) Plan with Employer Matching, • Level Up: Mentorship & Career Growth Support, • Always Be Learning: Access to Top-tier Resources & Industry Experts, • Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite), • Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans, • Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours, • Grow With Us: Endless Opportunities to Lead & Succeed, • Keep on Shining: Ongoing Employee Development Programs EEO & Compensation Transparency: Goodie AI is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $160,000 - $200,000, base pay plus bonus. At Goodie AI, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, Goodie AI is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Job Description Downtown Music Holdings (Downtown) is a modern global music company. We help millions of creators, rights holders and their partners to manage their music as a business and get paid fairly for their work. We're working to build a more equitable global music industry because we believe when creators and their partners are fairly compensated, they are empowered to keep creating and investing back in to the world. We service over 50 million music assets from hundreds of countries across six continents, including some of the most well-known songs in popular music. Working with creators at every stage of their career, from emerging songwriters to iconic performers, our business model drives equity across the entire global music industry supply chain. Role Overview As our first dedicated AI Engineer, you'll work at the intersection of software engineering and applied AI. Initially, your focus will be on introducing and integrating AI solutions into our existing engineering systems and processes. Over time, your role will expand into optimizing internal business workflows using AI tools, models, and platforms. We're not tied to a specific tech stack—you should be comfortable evaluating and working across tools and languages as needed. What matters most is your ability to engineer AI-driven solutions in a way that's robust, scalable, and thoughtful. Key Responsibilities: • Design and implement AI-driven features, tools, or systems to enhance existing engineering workflows., • Build robust, scalable prototypes using LLMs, embeddings, or ML models tailored to real-world internal use cases., • Collaborate with product, ops, and engineering teams to identify high-impact areas where AI can streamline or reinvent business processes., • Establish best practices for integrating AI into software systems, including testing, monitoring, versioning, and safety., • Evaluate, test, and recommend AI platforms, frameworks, and APIs that suit our evolving needs., • Stay current with the rapidly changing AI landscape and bring relevant advancements into the organization. Requirements: • Strong software engineering background (e.g., backend systems, APIs, automation, infrastructure)., • Experience working with or integrating AI/ML tools—especially LLMs (like GPT-4, Claude, Mistral, etc.)., • Comfort with tech stack flexibility: you can pick up the right tool for the job, from Python to JS, from LangChain to vector databases., • Product and systems thinking—you understand how to translate abstract business needs into technical implementations., • Ability to work independently and build from zero, with minimal structure., • Excellent communication skills; able to collaborate cross-functionally and explain complex ideas simply. Nice to Have: • Prior experience deploying AI in production environments., • Familiarity with prompt engineering, retrieval-augmented generation (RAG), and orchestration frameworks., • Exposure to business process mapping or reengineering with AI. Why Join Us? • Shape the AI foundation of a growing company from the ground up., • Influence both engineering practices and business transformation., • Work in a fast-moving, collaborative, and innovation-friendly environment., • Future leadership opportunities as we expand the AI function. Note: Downtown Music Publishing offers remote/flexible work (unless specified to be required to be in-person) and open to hiring remote candidates who are residents in the following states: CA, FL, GA, LA, MD, MA, MT, NV, NJ, NY, OK, PA, SC, TN, VA, WI

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionAbout CookUnity Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. The Role We are seeking a Staff AI Engineer, Agent Orchestration to lead the development of next-generation agentic systems that infuse Generative AI into every layer of the software delivery lifecycle. This is a hybrid role that blends full-stack engineering (Kotlin + TypeScript) with LLM systems design, focused on transforming developer workflows, CI/CD pipelines, observability, and runtime operations through AI-native automation. As a technical spearheader, you will be responsible for architecting and scaling intelligent developer tools, copilots, and runtime agents that extend far beyond prompt engineering—enabling an accelerated, self-healing, and insight-driven engineering ecosystem. Responsibilities • Architect and deliver full-stack GenAI-integrated systems, leveraging Kotlin (Ktor/Spring), Python, React/TypeScript, and AWS tooling., • Operationalize LLMs and agent frameworks to automate SDLC stages: from requirements parsing and code generation to test synthesis, deployment validations, and post-deploy analytics., • Develop multi-agent orchestration patterns (e.g., tool use, planning, memory) across backend and frontend development flows., • Embed GenAI-driven workflows into developer tooling: Full Test Driven Development cycle, PR summarization, AI-assisted code reviews, and contextual documentation retrieval., • Extend CI/CD systems with LLM-based capabilities: dependency change impact prediction, and build-time telemetry analysis., • Instrument systems with DataDog and AI-native observability: anomaly detection, root cause localization, and natural language log exploration., • Partner cross-functionally with product, infra, and data teams to identify and prioritize AI-native engineering opportunities., • Scout, evaluate, and hands-on integrate cutting-edge GenAI frameworks and developer tooling—bringing innovative capabilities into our stack to radically streamline coding, testing, and deployment workflows., • Contribute to engineering-wide technical direction through architecture reviews, RFCs, and mentorship.Requirements, • 7+ years of designing and building distributed back-end services in Kotlin (or Java) and modern TypeScript-based front-ends (React/Next.js)., • Ability to ship robust, production-grade Python code—owning everything from design and performance tuning to deployment., • Proven track record shipping LLM/GenAI features to production, with experience across the lifecycle: prompt engineering, fine-tuning, latency optimization, evaluation, and safety alignment., • Deep fluency with modern software delivery practices: test strategy, blue-green and canary deployments, observability, and rollback mechanisms., • Demonstrated experience driving adoption of automated testing strategies (TDD/BDD) and CI/CD best practices., • Strong written and verbal communication skills; ability to synthesize complex trade-offs for both technical and cross-functional stakeholders.Preferred requirements:, • Strong full-stack development experience with Kotlin and React., • Experience building and deploying multi-agent LLM systems with memory, reasoning, or dynamic planning., • Familiarity with RAG pipelines, vector search, embeddings, and semantic caching., • Prior experience in a high-growth, product-centric startup environment.Where You'll Be:, • We offer you the flexibility to work where you work best!, • This team operates within the Eastern Standard time zone for collaboration.Responsibilities:, • Leadership & Team Management:, • Lead, mentor, and develop a cross-functional AI/ML team, including data engineers and embedded data engineers., • Foster a community-driven culture that encourages knowledge sharing, collaboration, and continuous learning., • Align team objectives with broader company goals, ensuring that projects are executed effectively and efficiently., • AI/ML Strategy & Implementation:, • Drive the development of scalable AI/ML solutions that support both operational and strategic goals at CookUnity., • Develop and implement machine learning models that improve customer personalization, operational efficiency, and data-driven decision-making., • Lead the integration and adoption of Large Language Models (LLMs) and Generative AI (GenAI) to enhance product features, improve customer experience, and accelerate business growth., • Stay at the forefront of emerging AI/ML technologies, including LLMs and GenAI, and apply relevant innovations to solve complex problems., • Data Infrastructure & Architecture:, • Oversee the architecture of CookUnity's data pipelines, ensuring they are robust, scalable, and efficient to support machine learning, analytics, and GenAI model deployments., • Manage the end-to-end lifecycle of data processing, including ingestion, storage, transformation, and analytics., • Collaborate with the infrastructure team to ensure data platforms are optimized for performance, reliability, and security., • Collaboration & Cross-Functional Partnerships:, • Work closely with product, engineering, and business teams to understand their data needs and deliver impactful solutions., • Drive the integration of embedded data engineering into core product development cycles., • Engage with senior leadership to align AI/ML strategies with broader company initiatives and business outcomes., • Community & Knowledge Sharing:, • Establish and nurture a community of AI/ML experts across CookUnity to share best practices, solve challenges, and promote innovation., • Spearhead internal forums, workshops, and seminars to accelerate the adoption of LLMs and GenAI, ensuring that team members are up to speed with new technologies and trends., • Foster a culture of continuous learning and ensure the team is equipped to leverage the latest advancements in AI/ML., • Reporting & Analytics:, • Define and implement key performance indicators (KPIs) to track the success of AI/ML and GenAI solutions., • Present regular updates to the executive team, including the CTO, on project progress, challenges, and opportunities related to AI/ML and GenAI adoption.Qualifications:, • 10+ years of experience in AI/ML, data engineering, or related fields, with at least 3 years in a leadership role., • Proven experience leading cross-functional teams in an agile environment, with a strong ability to balance technical execution and strategic vision., • Expertise in machine learning algorithms, data pipelines, and AI/ML model deployment at scale., • Solid understanding of Large Language Models (LLMs) and Generative AI (GenAI), and how to integrate these technologies into business operations., • Strong understanding of cloud technologies (AWS, GCP, Azure) and modern data stack solutions (e.g., Apache Kafka, Snowflake, Redshift)., • Deep knowledge of data engineering best practices, including ETL processes, data warehousing, and data governance., • Strong communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical stakeholders., • Ability to drive change, inspire innovation, and foster a collaborative and results-driven team environment.Preferred requirements:, • Experience with embedded data engineering, working closely with product development teams., • Familiarity with data privacy and security regulations (e.g., GDPR, CCPA). We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan 📈 We grow, you grow: Stock Options Plan granted on Day 1 🌟 Eligible for a bi-annual performance bonus ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$180,000—$200,000 USD If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.