Founders Associate

Founders AssociateLocation: New York CityWork Model: In-personCompensation: $175K–$350K+ base plus significant equity.About the CompanyAt talentpluto, we are revolutionizing access to the world’s most liquid markets by providing blockchain solutions for individuals lacking reliable access to trustworthy brokers. Our innovative platform empowers users to trad…

About PhoebeAt Phoebe, we are revolutionizing the home healthcare landscape in America by providing a seamless coordination layer for one of the nation's largest labor markets. Join us on this transformative journey!Your RoleLead the user experience design for our flagship operations product and an innovative mobile talent agent.Craft intuitive software that users love to interact with.Engage in rapid development cycles to iterate and improve our offerings.Conduct user interviews, perform UX audits, and translate feedback into actionable design enhancements.Embed our core design principles into every product:Efficient cycle times: You prioritize speed and iteration.Commitment to quality: Your designs are polished and impactful.Your ProfileA minimum of 2 years of experience in product design.Demonstrated experience in designing functional software that users rely on.Strong aesthetic judgment with the ability to discuss design quality eloquently.An acute awareness of user experience, both positive and negative, in everyday design.A portfolio showcasing your best work, reflecting your design journey.Design ToolsProficient in Figma for design processes.Experience with advanced prototyping tools like Cursor or similar AI-driven solutions.What We OfferAn opportunity to shape the design language of a rapidly growing company.Competitive salary paired with equity options above market standards.A small, dynamic team where your contributions make a direct impact on customers.Work in-person in vibrant NYC (Chinatown / Lower East Side).Learn from seasoned founders in the field - Justin (CEO) previously sold Bayes (YC S19) to Airtable, while Dave developed and sold Kamana, a travel nursing app.

Join Our Innovative TeamBecome a pivotal member of our team dedicated to creating the world's first biological reasoning model. Collaborate with us on groundbreaking generative foundational models that interpret biological systems across various scales—from molecular interactions to entire organisms—empowering us to predict, comprehend, and manipulate living systems like never before.Output is currently in stealth mode, driven by a team of seasoned founders and biotech experts who have successfully exited ventures in AI and biotechnology, supported by leading venture capital firms including Y Combinator.As a Machine Learning Engineer, you will partner with our founders and talented team members to innovate and deploy advanced AI solutions that facilitate intricate biological reasoning across diverse scales.Develop foundational models for biological systems capable of encoding and decoding biological data at scale.Create deep generative models tailored for biological applications, experimenting with innovative architectures to capture the complexities of multi-scale biological systems.Work on distributed training systems to scale our models to billions of parameters, focusing on performance and efficiency across multi-GPU and multi-node configurations while processing extensive biological datasets.Design efficient data pipelines to manage and process large biological datasets, tackling challenges in data loading, partitioning, and memory optimization.Establish and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits.

About SciemoSciemo is revolutionizing the consumer goods industry through advanced AI technology that empowers businesses to make quicker, smarter, and more human decisions throughout the Integrated Business Planning (IBP) process. Our platform turns chaotic, fragmented data into actionable insights, aiding decision-makers in real-time by simplifying complexity.OverviewAs a pioneering startup, Sciemo specializes in AI solutions tailored for consumer brands. We harness machine learning, generative AI, agent-based systems, and graph technologies to deliver insights in seconds and tangible business outcomes in minutes.Your RoleWe are on the lookout for a Founding Member of Technical Staff, who will serve as both a Data Scientist and a Machine Learning Engineer. In this critical position, you will be instrumental in the design, development, and deployment of the intelligence that powers our AI products. You’ll engage in a wide range of applied AI efforts, from data science and machine learning to large-scale production engineering. This dual role demands not only advanced model development expertise but also the engineering acumen to implement and sustain robust, scalable systems.You will work closely with data engineers, product leads, backend engineers, and customer-facing teams to ensure our AI systems provide measurable value in practical scenarios. As one of our initial technical team members, you will help shape our AI strategy, establish technical standards, and set best practices for scalable applied AI.Key ResponsibilitiesDevelop and Deploy AI Systems:Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or comparable).Design and implement comprehensive AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Establish automated pipelines for continuous learning, model promotion, and performance monitoring.System Architecture & Reliability:Lead the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to guarantee reproducibility and system reliability.

The City of New York is seeking a dedicated Surveyor to join our dynamic team. As a Surveyor, you will play a crucial role in land surveying, ensuring accuracy and compliance with city regulations. This position offers a unique opportunity to contribute to various city projects, enhancing the infrastructure and development of New York City.

About JuniorAt Junior, we are at the forefront of developing innovative LLM-powered tools designed to enhance the investment research experience for private market investors. Our esteemed clientele includes some of the world's leading private equity and consulting firms, responsible for managing billions in investments annually. As a profitable and bootstrapped company, we boast a dynamic team of 17 members operating out of London and New York City.Discover more about our mission and values here. Role DescriptionAs our inaugural NLP/ML hire, you will have the exceptional chance to:Transform product and business requirements into applied ML/NLP solutions, generating innovative research synthesis concepts and validating their business impact through rapid prototyping.Design and enhance retrieval, search, and ranking algorithms by integrating semantic embeddings, behavioral signals, and structured database queries, while also creating custom reranking models.Fine-tune SLMs/LLMs for tasks requiring high accuracy and low latency such as classification, query rewriting, summarization, and personalization.Utilize advanced alignment and reliability methodologies (e.g., DPO, fine-tuning strategies, evaluation-driven iteration) to elevate user experience and trust.Experiment with summarization and synthesis techniques to convert extensive sets of unstructured interview notes into actionable insights.Engage in product decisions, direction, and prioritization.Influence our engineering culture.With over 20 enterprise clients already onboard and tens of thousands of interactions on our platform, there is ample opportunity for data enhancement and innovation. About YouWe seek product-oriented ML engineers who:Are based in NYC.Possess a solid background as an NLP/ML researcher with expertise in RAG, LLMs, and Generative AI pipelines.Have a proven track record in building production-grade ML systems, including search, information retrieval, and structured outputs.Exhibit excellent communication skills and are eager for a client-facing role.

OverviewWe are looking for a seasoned Data Product Manager, ideally with a robust background in Data Engineering and significant expertise in banking and financial services data. This role is pivotal in developing scalable, compliant, and business-focused data products, requiring close collaboration with cross-functional teams.Location: New York City, NY (Hybrid – 3 days onsite)Interview Mode: In-person requiredKey ResponsibilitiesProduct Ownership & StrategyDefine and prioritize the data product roadmap that aligns with overarching business objectives.Transform business needs into actionable and efficient data solutions.Collaborate with stakeholders for requirement gathering and refinement.Cross-Functional CollaborationEngage with Data Engineers to construct scalable data pipelines.Partner with Data Analysts and Data Scientists to enhance data usability.Serve as a liaison between business and technical teams.Data Governance & ComplianceEnsure compliance with data security, privacy, and regulatory standards.Establish data quality, integrity, and governance policies.Data Lifecycle & Release ManagementOversee the complete lifecycle of data products.Manage releases, deployments, and version control processes.Champion automation and continuous improvement initiatives.Technical OversightGuide teams on data architecture, pipelines, and industry best practices.Work with Snowflake, Azure, Databricks, ETL/ELT workflows.Stay abreast of industry trends and tools.Performance MonitoringTrack performance and optimize data products accordingly.Identify and resolve issues to enhance system efficiency.Documentation & TrainingMaintain comprehensive documentation for data systems and processes.Facilitate training sessions for stakeholders.

Join our dynamic team as a Salesforce Solution Architect, where you will spearhead the design and implementation of comprehensive Salesforce solutions, emphasizing Field Service Lightning (FSL) and Revenue Cloud components such as CPQ, Billing, and Subscription Management. You will take ownership of the solution architecture, lead technical teams, and ensure that Salesforce implementations are scalable, secure, and aligned with business objectives.Key ResponsibilitiesSolution Architecture & DesignLead the end-to-end architecture of Salesforce solutions within the realms of Field Service and Revenue Cloud.Convert business needs into scalable Salesforce solutions.Establish logical, physical, and integration architectures.Ensure adherence to Salesforce best practices, performance standards, and security protocols.Design multi-cloud solutions integrating Sales, Service, Experience, FSL, and Revenue Cloud functionalities.Field Service Lightning (FSL)Architect and deploy FSL solutions, which include:Work Orders, Service Appointments, and Asset ManagementScheduling & Optimization (including Auto-Scheduling and optimization rules)Mobile Workforce Management via Salesforce Field Service Mobile AppInventory and Parts Management, including Van StockService Territories, Operating Hours, and Skill-based routingDesign offline-first mobile solutions and optimize performance.Integrate FSL with ERP systems, inventory management, and third-party scheduling tools.Implement best practices to enhance technician productivity and dispatcher efficiency.Revenue Cloud (CPQ & Billing)Lead the design and execution of:Salesforce CPQ (including Products, Price Rules, Product Rules, Bundles)Contract Lifecycle and Subscription ManagementUsage-based pricing models and recurring revenue strategiesSalesforce Billing (including Invoices, Payments, Tax, and Revenue Recognition)Architect complex pricing, discounting, approval workflows, and renewal processes.Integrate CPQ/Billing with ERP, Finance, and Order Management systems.Ensure compliance with revenue and pricing governance standards.Integration & Data ArchitectureDesign and manage integrations utilizing:REST/SOAP APIs, Platform Events, and Change Data CaptureMiddleware solutions (MuleSoft, Dell Boomi, Informatica)Define data models, migration strategies, and master data governance protocols.Guarantee data quality, scalability, and transactional performance.Security, Compliance & GovernanceEstablish a security framework using:Profiles, Permission Sets, Sharing Rules, and Shield (preferred)Ensure compliance with enterprise security and regulatory requirements.Define environment strategies (Dev, QA, UAT, Prod) and oversee release governance processes.Participate actively in architecture review boards and design discussions.

Join Us at Legora!Legora is revolutionizing the legal landscape. Our mission is clear: we are not just creating solutions for lawyers; we are collaborating with them to ensure every detail is perfected. By working side-by-side, we innovate and transform legal operations.Our AI-driven platform empowers legal professionals to enhance their workflow, enabling them to pose insightful questions and extract valuable information. We are committed to advancing legal technology, making intricate processes more efficient and human-centric. From analyzing vast amounts of documents in mere minutes to designing intelligent workflows in partnership with top-tier firms, we are turning vision into reality.Trusted by prestigious firms including Cleary Gottlieb, Goodwin, Bird & Bird, and Linklaters across more than 40 countries, we are just getting started. Our agile development ensures rapid iteration and strategic scaling, executed by design, not by chance.At Legora, we are united by the belief that

Join AirOps as the Director of Content Systems & ResearchAt AirOps, we are at the forefront of the content engineering revolution, developing the first end-to-end platform designed for the AI-driven landscape. Our innovative solutions empower brands to enhance their online visibility, ensuring they are discoverable and relevant in today’s digital world. With significant growth in the past year, including a fivefold increase in revenue, we are proud to support leading marketing teams at companies like Ramp, Chime, Carta, and Rippling, transforming content quality into a sustainable competitive edge.Our cutting-edge platform equips marketers with the tools they need to thrive in the evolving discovery ecosystem. By focusing on high-impact opportunities and creating authentic, on-brand content, we help brands secure citations from AI and build trust with their audiences. Supported by esteemed investors such as Greylock, Unusual Ventures, Wing VC, and Founder Collective, we are shaping the future of marketing leadership.We are seeking a Director of Content Systems & Research to spearhead one of AirOps' most critical initiatives: the advancement of Content Engineering through in-depth research, exceptional educational resources, and the development of our proprietary intellectual property.As we look to the future, we anticipate that by 2026, Content Engineering will emerge as the pivotal role within modern B2B marketing organizations. This position will blend organic growth strategy, cutting-edge research, and precise workflow execution. The successful candidate will take ownership of transforming our foundational work into a long-lasting advantage that adds value for our clients and elevates the industry as a whole.This is primarily a research-driven role. You will be responsible for developing and scaling our research initiatives, exploring the mechanics of AI search, understanding what drives visibility across platforms, and identifying successful content strategies. Your findings will inform our educational programs designed to cultivate the next generation of Content Engineers and contribute to our Power Agents—the reusable workflows that encapsulate our best practices, providing immediate value to teams of all sizes.Key Responsibilities:Develop and Enhance our Research Engine: Lead the creation of groundbreaking insights through collaboration with our research team, positioning AirOps as a thought leader in the market.Promote the Role of Content Engineer: Transform research findings into comprehensive curricula, training modules, and platform-specific education that empower both novices and seasoned professionals.Productize Our Core Intellectual Property: Oversee the strategy and development of Power Agents, implementing best practices that deliver value across various teams.

ABOUT THE ROLEJoin our dynamic team as a Staff Data Architect and shape the future of data architecture! In this pivotal role, you will be responsible for the architecture of domain-scale data systems. You will define the target architecture for your domain, set enforceable standards and data contracts, and empower various teams to create governed, reliable, and reusable data products. You’ll ensure high-quality architecture decisions, semantic consistency, and the adoption of shared patterns across your domain, influencing how data is designed and governed. Your focus will be on creating a scalable and consistent architecture that enhances data delivery. YOUR GAME PLANEvery team member plays a crucial role! Define and maintain a North Star architecture and multi-quarter roadmap in line with business priorities. Establish and enforce data modeling standards, canonical definitions, and schema evolution practices. Define and operationalize data product contracts, including ownership, quality expectations, and versioning discipline. Lead architecture governance and design reviews at the domain level, ensuring all decisions are documented and stakeholder concerns addressed. Engage in hands-on prototyping and framework building to drive MVP execution. Define scalable Lakehouse and platform patterns using Databricks, aligned with performance, cost, reliability, and security requirements. Embed data quality, metadata, lineage, and compliance into architectural standards from the outset. Lead strategies for domain migration and deprecation to reduce technical debt and long-term risk. Collaborate across Data Engineering, Product Engineering, Product, Security, Governance, Analytics, and other stakeholders to translate business intent into actionable architectural direction. Influence the adoption of architectural standards across multiple teams without direct authority.