Ai researcher jobs in New York, New YorkCreate job alerts

Job Description At Solve Intelligence, we’re building something people actually want - and we have the revenue and traction to prove it. 🏗️ The Role: Full-Stack Account Executive Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM powerhouse to help us scale to $1B+ ARR. What you’ll own: Build the GTM Motion: You aren't just following a playbook; you’re writing it. You'll architect our sales and growth strategy from the ground up. Lead Generation & Networking: Smash outbound targets, leverage your network, and represent Solve at global IP conferences to book demos and win over key decision-makers. Product Demos: Show the world the future of IP. You’ll teach leaders how to leverage AI to transform their workflows. Closing Deals: Full-cycle ownership from lead to close, working with our Technical IP team to ensure seamless onboarding. Product Influence: Act as the bridge between the market and our AI researchers. Your feedback will directly shape the product roadmap. 💡 About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI-powered platform handles invention harvesting, patent generation, and portfolio management. Growth: 20-30% MoM revenue growth. Market: 600+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises. Impact: Users report 50-90% efficiency gains. Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. 👋 Who You’ll Work With You’ll be joining a founding team with deep pedigree: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture. To thrive here: You move fast: You prioritize speed and aim to close deals in days, not months. You are a "grinder": You have a relentless work ethic and take extreme ownership of outcomes. You are an optimist: You thrive in a positive, high-stakes environment and are eager to learn. You believe in AI: You understand we are at the start of an exponential curve and want to drive mass adoption. 🛠️ What You Bring Must-Haves: Proven track record as a top-performing AE in a high-growth SaaS environment. Exceptionally clear written and verbal communication. A metrics-driven mindset and a willingness to "grind" alongside the founders. Preferred & Nice-to-Haves: STEM Degree: (Maths, CS, Physics, Engineering, etc.). Legal/IP Background: Experience in patent prosecution or a qualified USPTO/EPO patent attorney/agent. Technical Sales: Experience selling complex products to mid-market or enterprise firms. Entrepreneurial Spark: Side hustles, early-stage experience, or a history of building things. 🎁 What’s In It For You? Compensation: Competitive base + unlimited commission upside. Equity: Meaningful ownership in a high-growth startup. Support: Full visa sponsorship and private medical insurance. Perks: Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. 🚀 Compensation Range: $100K - $200K

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 500M+ calls- Driven $7B revenue for customers- Scaled to $##M ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE: We're hiring a Director of Engineering to own two of our most technically challenging areas: the real-time systems that power every live call, and the applied AI research that determines how those calls sound and feel. You'll lead two teams: one responsible for the real-time call delivery infrastructure that handles every live voice interaction at scale, and one doing proprietary model work on the problems that matter most to voice quality, end-of-utterance detection, voice activity detection, answering machine detection, and STT accuracy. These are active, production-impacting problems, not research projects. This is the right role for someone comfortable at the intersection of applied AI and real-time systems, not a pure researcher, and not a pure product EM. You'll work closely with Regal's Staff+ AI Engineering lead as a peer and collaborator, and you'll have room to grow into broader engineering ownership as the team scales. RESPONSIBILITIES: • Lead and develop engineers across two teams, set expectations, support career growth, and run a tight hiring bar. You thrive on managing people and view it as a privilege, • Own the technical roadmap for real-time call delivery and applied voice AI, in collaboration with Product, AI Engineering, and the broader eng leadership team, • Drive the applied AI roadmap: improving how AI agents talk to humans (pace, timing, accuracy, and warmth) and the contact center AI capabilities that make agents more effective in production, • Do whatever it takes to unblock your teams, whether that's changing a process, pair debugging, or cutting through cross-functional friction, • Work closely with product and engineering leadership to drive innovation and collaboration, • Maintain a strong peer relationship with Regal's AI Engineering lead, collaborative, not territorial. Applied model work intersects with research; managing that handoff well is part of the job., • Represent engineering in cross-functional conversations on voice quality, latency, and AI agent reliability, • Be actively involved in hiring: sourcing, interviewing, and onboardingWHAT YOU'LL OWN:, • Real-time call delivery: The systems that route, handle, and manage live voice calls. Telephony reliability, call delivery at scale. This team is the layer where every agent capability meets every customer., • Applied voice AI: Proprietary model work on the hardest voice quality problems: end-of-utterance (EOU) detection, voice activity detection (VAD), answering machine detection (AMD), STT accuracy, and p95 latency. Small team, high-leverage output.ABOUT YOU:, • 8+ years of experience in software engineering, with meaningful time in systems where latency and reliability are first-class constraints, • 4+ years in engineering management, including experience managing mid to senior level engineers, • An entrepreneurial mindset, we're not looking for someone to run a playbook. We want you to help build it., • Comfortable operating at the boundary of research and engineering, you know how to take a model improvement and turn it into a production system, and vice versa, • Strong communication skills, you can translate complex technical tradeoffs for product stakeholders and work effectively with researchers, • Excellent judgment on prioritization, applied AI work is inherently exploratory; you know how to scope it against production impactNICE TO HAVE:, • Hands-on experience with STT/TTS pipelines, voice activity detection, or telephony infrastructure, • Prior work on latency-sensitive ML inference systems in production, • Experience with LLM orchestration or agent evaluation frameworks, • Familiarity with WebSockets, real-time audio, or WebRTC, • Prior startup experience at the Series B–D stageBENEFITS/PERKS, • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation, • & more to come!The reasonably estimated base salary for this role is provided as a range within this job description. All offers include a competitive equity package and some offers may additionally include a variable compensation component. Actual compensation is determined on an individualized basis taking into consideration factors such as the candidate's skills, location, qualifications, experience, and relevant education or training. In addition, Regal offers a comprehensive set of employee benefits which are listed above. Details about the compensation package will be finalized at the time of offer.POSITION LOCATION & OFFICE DETAILS: This position is only available in New York City (HQ- Midtown). Hybrid roles are required in office T/W/TH and office optional M/F. *If you think you’re missing relevant experience but you’re hungry and a fast learner (and can prove it), we want to hear from you! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionA little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview We're hiring a Lead Product Manager to help redefine what customer understanding looks like in an AI-native world. You'll own a meaningful product surface end-to-end, drive company-level bets, and operate as a senior voice in how Knit thinks about product strategy, AI craft, and customer value. You'll ship in two-week cycles alongside one of the strongest engineering benches you'll find at this stage. You'll partner closely with our Director of Product, CTO, CEO, on-staff PhD-level Researchers, and Engineering Leads. This is a force multiplier role in a senior-heavy team, and at this level, we expect your judgment and conviction to shape not just what you ship, but what Knit becomes. Outcomes Success in this role is defined by sharper product decisions, stronger execution, and measurable customer and business impact on the surface you own. • Customer adoption of shipped work: Usage and adoption rates of new and materially updated capabilities within our target ICP., • Product velocity and roadmap reliability: Consistent shipping against outcome-driven commitments, with fewer mid-stream changes and clearer scope on what's in vs. out., • Customer and business impact: Expansion revenue, win rate, retention, and customer value creation attributable to your product work., • Cross-functional coherence: Engineering, Research, and GTM operating from one shared reality about what matters most, and why., • Strategic contribution: Bets you've brought to the table, backed by customer conviction and market insight, that shaped the roadmap beyond your own surface.Responsibilities | What you will own... Primary responsibilities of this role: • Own a Meaningful Product Surface End-to-End Drive the full lifecycle of your product surface, from discovery to delivery to adoption. Write crisp specs, prioritize ruthlessly, and partner with engineering. Own outcomes, not outputs. At this level, we expect you to define the surface you're working on in addition to executing against it. • Build Direct Customer Intuition Spend meaningful, consistent time with customers. Work alongside our PhD-level Researchers, but bring your own developed point of view on how users and buyers at Fortune 1000 brands think, what they need, and where the market is moving. • Make AI-Native Product Decisions Own the AI layer of your surface: eval strategies, quality loops, failure-mode design, when to trust the model versus defer to humans. This is what separates us from AI-washed research tools, and you'll help us defend and extend that gap. • Operate as a Force Multiplier Across R&D and GTM Drive clarity on tradeoffs, eliminate mid-stream thrash, and ensure Engineering, Research, and GTM are working from one shared reality about what matters and why. At this level, we expect you to create alignment. • Contribute to Company-Level Decisions & Roadmap Your impact should reach well beyond what you ship. Bring bets to the betting table backed by real customer conviction, competitive insight, and business judgment. Weigh in on how we plan quarters, how we position against competitors, and how we tell our story to customers. See your bets through with evidence, judgment, and taste.Required Skills & Experiences Required: • 7+ years as a Product Manager, including meaningful time at a company known for strong product culture — where you learned what a great product org looks like from great leaders, and where you were trusted to operate with real autonomy., • 0→1 experience. You've taken a product from zero to meaningful customer usage. Ideally, in an early-stage environment (seed/Series A), where you didn't have a full supporting cast to lean on., • AI-native fluency. You've shipped LLM-based features in production. You understand evals, hallucination management, latency/cost tradeoffs, and failure-mode design — even if you didn't write the eval code yourself. You use AI tools fluently in your own PM work to draft, prototype, research, and design. You have a real, developed point of view on how the PM role is changing in an AI-native world., • Exceptional written and verbal communication. Clarity under compression is a baseline expectation. At this level, you're also helping set the standard for how the team communicates., • Strong technical fluency. Comfortable driving real conversations with senior engineers about architecture, tradeoffs, and constraints — not just translating between them., • Strategic range. You've operated beyond your own surface and influenced roadmap direction, contributed to company-level planning, and shaped how your org thinks about a market. You have opinions that change what gets built, and you back them with evidence. Nice to Haves • Previous founder or first-PM experience at an early-stage startup, • Experience building tools for researchers or in the market research industry, • Background operating in a senior IC role in a flat, founder-led environment.Benefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $205,000 - $235,000. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through)., • Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. In accordance with New York pay transparency requirements, the salary range for this role is listed below. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Salary Range$205,000—$235,000 USD Knit Privacy Policy here. CCPA disclosure here.

Job DescriptionA little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview The purpose of the Research Manager role is to ensure Knit customers successfully achieve their desired research outcomes through their partnerships with Knit. By owning and supporting customer relationships, getting deeply engrained in customer research needs, and driving high-quality project deliverables, the Research Manager's impact is ultimately measured by positive customer retention. Responsibilities | What you will own... The research function is a primary contributor to Knit's shared business objectives of customer retention and upsells, ultimately measured by Net Revenue Retention (NRR) in addition to supporting successful Pilot to Subscription Conversions for acquiring new business. The levers the Research Director role owns to influence these key business objectives are: • Research Success → Ensuring Knit Customers successfully achieve their desired research outcomes through their projects with Knit, measured by successfully achieving Research Objectives and delivering on Knit's Quality & Speed service-level agreements (SLA's) Primary responsibilities of this role: • Serving as the dedicated research lead for all customers' projects (on assigned accounts) and serving as the ultimate accountable part for research project success, • Driving and documenting in-depth project scoping to uncover a deep understanding of research objectives and project context to set up project success, • Demonstrate a growth mindset as a solutions architect for customers, educating them on Knit's research capabilities, consulting with them to adjust for fringe requirements, and proposing solutions to maximize project success - escalating to Research Directors when needs exceed capabilities, • Escalating needs to Research Directors to support troubleshooting when increased risk for project viability or customer impact occurs, • Driving, maintaining, and enriching all customer context to improve Knit's ability to meet the customers' custom research needs, • Being the final, customer-ready check and approver on all Knit final topline delivery and presenting the key insights and recommendations directly to the customers, • Participating in continuous innovation on Knit's AI product to minimize the delta between Knit's AI output and a human researcher output, • Driving on feedback collection on "the last mile" - uncovering and documenting what happens after Knit delivers a project to when it's "stakeholder ready," supporting Knit's product vision in getting to stakeholder ready reportsRequired Skills & Experiences Required: • Must have 5+ years of market research experience, with the majority of the time spent on the supplier side in a market research agency environment., • Must have experience leading discovery and scoping calls, writing and editing quant and qual questionnaires from scratch, drafting analysis plans, and creating and presenting stakeholder-ready insights topline & reports., • Ability to drive initiatives and outcomes in ambiguous environments, both for navigating complex customer needs and Knit internal business changes. Proven track record successfully operating in an early stage startup (<50 employees) is a plus., • Proven track record of owning and supporting client relationships with customers at Enterprise, Fortune 500 US-based companies, specifically working with insights professionals to scope and achieve desired research outcomes, resulting in customer retention and growth., • Ability to drive initiatives and outcomes successfully in environments with competing priorities, multiple research projects on at a given time, and simultaneous internal business demands.Benefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $115,000 - $130,000. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through)., • Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. In accordance with New York pay transparency requirements, the salary range for this role is listed below. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Salary Range$115,000—$130,000 USD Knit Privacy Policy here. CCPA disclosure here.

Job Description COMPUTATIONAL DESIGNER - RESEARCHER NY About Sherwood Design Engineers Sherwood is a civil and environmental engineering firm that is committed to investing in and embracing people, communities and the environment. Our team has delivered net zero energy and net zero carbon systems, net positive water systems, resilient coastlines, natural resource protection, green streets, living roofs and more for thousands of clients in the region and across the globe. We specialize in sustainable infrastructure, water management strategies, green building design, and systems based solutions for infrastructure and landscapes. Our focus is on the conservation and management of the consumption of all site resources — carbon, energy, water, and waste. We’ve worked on over thirty award-winning projects, and our work has been published locally and internationally. Founded in 2003, our award-winning projects include Hudson Yards in New York (the largest private real estate development in U.S. history), San Francisco Better Streets Plan, Greater New Orleans Urban Water Plan, revitalization of the iconic waterfront Brooklyn Bridge Park, and the 35 square-km Baietan Urban Area Plan in the heart of Guangzhou, China. Our mission is to engineer an environmentally and socially regenerative planet. Will you join us? Role Summary Sherwood is in search of an entry-level Computational Designer to become part of our innovative civil engineering firm. The chosen individual will work closely with Sherwood’s NY team, learning and contributing to various projects. We are seeking an individual who demonstrates a professional skill set with computational technologies, can work productively as a member of a multidisciplinary team, works independently, and develops clear, evidence-based solutions to a wide set of organizational problems. We are open to accepting temporary intern level or early career candidates. Minimum Skills • Typically 0 - 2 years of relevant experience, • Bachelor’s degree in Design Engineering, Design Technology, Computational Design, Computer Science, Architecture, Landscape Architecture, or related field., • Basic knowledge in software tools like Rhino or Grasshopper, • Interest in sustainability and environmental modeling, • Ability to work well in a team-oriented environment, • Good interpersonal skills Preferred Skills • Experience in a consulting environment, • Some knowledge in environmental simulation, especially hydrology modeling, such as HEC-RAS, ladybug, CFD, etc, • Proficiency in technology or softwares, such as GIS, Revit and Dynamo, additive manufacturing, robotics, Blender, Unity, BIM, CAD, Civil 3D is a plus, • Ability in drawing and great design / aesthetic vision is a plus Expected Outcomes • Support project work or workflows in Rhino/Grasshopper, Python, GIS, simulation, AI, IoT, or digital-twin-related topics. Sometimes the work is exploratory in its nature., • Organizing research material into clear summaries, diagrams, and work plans, • Collaborate regularly with Project Managers, Computational Specialists, and other interdisciplinary team members and engineers to assist in the planning and execution of site analysis, propositional planning frameworks, and engineering frameworks / projects, • Support in preparing various components of project documentation, including reports, presentations, prototypes, and design drawings, • Begin active collaboration with team members across different departments, • Asking clarifying questions when the task is under-defined What We Offer • Own a part of the firm with ESOP eligibility after one year, • Flexible working - with every other Friday off, • Competitive Health plans, including PPO and HMO options, Dental and Vision plans, • Learning and Development stipend to use as you see fit, • Generous PTO and 8 paid holidays, • Automatic 401k enrollment, • Fun team events, lunches and happy hours to get to know colleagues outside of work, • A tangible opportunity to truly help the environment! Compensation The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Sherwood Design Engineers, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $73,000 to $81,000. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Reasonable accommodations may be made to individuals with disabilities to perform the essential functions. We will consider employment for qualified applicants with arrest and conviction records. Powered by JazzHR ZUj86yGiLb

Job Description Position the first widely adopted quantum software product. The hunting grounds for quantum advantage. The place to build and run quantum applications. Haiqu is building a world-leading software platform that enables previously impossible applications on modern quantum processors. Our full-stack approach has shown industry-first results in pilots with leading quantum early adopters. Backed by top investors, we offer a unique opportunity to join a fast-growing team and shape a product vision for an entirely new computing paradigm. We’re looking for a Product Marketing Lead who will own an aggressive cross-channel marketing campaign to put our flagship product into the hands of users. You will communicate highly technical concepts into sticky messages and intuitive value propositions; you will produce marketing materials; you will launch community development initiatives. You must have phenomenal writing skills and a sense of humor. Responsibilities 1. Product Communication Own positioning and messaging for Haiqu’s middleware modules & capabilities. Translate proprietary, highly technical concepts into benefits and value propositions for enterprise and developer personas. Build structured product narratives and pitch materials for industry verticals (Finance, Pharma, Energy, Aerospace, etc.). Partner with Product & Engineering to drive clarity on feature launches, release notes, and product documentation. 1. Technology Communication Craft high-quality technical explainers, white papers, diagrams, and primers. Work closely with the research team to distill R&D results into digestible communication pieces. 1. Social Media & Public-Facing Communications Own Haiqu’s presence across LinkedIn, X, and technical forums, etc. Produce daily/weekly social content framed for engagement of key audience groups. Experiment with high-growth content formats: threads, visuals, animations, mini-explainers, product tips, and use cases. 1. Case Studies & Customer Narratives Lead production of deep technical case studies. 1. Marketing Content Strategy & Editorial Leadership Manage a content roadmap for technical blog posts, conference materials, primers, webinars, and educational series. Manage editorial voice guidelines for technical accuracy, clarity, and brand consistency. Manage the lifecycle of content assets: creation, review, distribution, analytics, and improvement. 1. Growth Marketing & Demand Generation Define and execute multi-channel campaigns to attract enterprise leads, community developers, and researchers. Launch and refine conversion funnels and targeted account-based campaigns for verticals (Finance, Pharma, Energy, etc.). Track conversion metrics and adjust strategy based on performance data. 1. Community Development & Ecosystem Marketing Grow Haiqu’s developer and researcher community through events, discussions, technical workshops, webinars, and partnerships. Launch community initiatives highlighting Haiqu’s workflows, tutorials, examples, and recipes. 1. Cross-Functional Leadership Work tightly with Product, Research, BD, and Exec team to align messaging across customer touchpoints. Coordinate external communication around publications, IP milestones, grants, and hardware partnerships. Gradually hire and manage marketing coordinators, designers, or content contractors as the function scales. Requirements • 5+ years of professional experience in a tech startup, deep tech lab, or enterprise., • 3+ years of experience in product marketing or technology marketing for deep-tech or science-intensive products/technologies (quantum computing, AI/ML, HPC, developer tools, scientific software, or comparable domains)., • Proven ability to translate complex technical systems into clear, compelling narratives for multiple audiences., • Exceptional writing and editorial skills, with a portfolio demonstrating:, • Long-form technical content (blogs, white papers, explainers), • Short-form, high-engagement content (social posts, threads, landing pages), • Case studies or customer narratives, • Demonstrated experience owning end-to-end messaging and positioning for a core product or platform, including launches, iterations, and roadmap evolution., • Hands-on experience running multi-channel marketing efforts, spanning content, social, community, and growth campaigns. Comfortable operating without a large supporting team., • Strong intuition for developer and technical communities: how they learn, what they trust, and what triggers adoption versus skepticism., • Analytical mindset with experience tracking growth, engagement, and conversion metrics., • Ability to work credibly with PhD-level researchers and senior engineers, extract signal from complexity, and challenge vague or inflated claims., • High ownership mindset: comfortable operating in ambiguity, setting direction, and building structure where none exists., • Clear evidence of intellectual curiosity, taste, and originality—this role rewards creative personalities who think and invent, not just execute. Nice to have (not required): • Background in physics, computer science, applied math, or a related technical field, • Experience marketing frontier or pre-category products, • Prior experience scaling a marketing function from first principles Benefits • A rare opportunity to define the narrative of a new computing paradigm, not just market an incremental product., • Direct ownership of Haiqu’s product voice, technical storytelling, and market perception, with real influence on GTM strategy, product direction, and ecosystem positioning., • Close collaboration with a world-class research and engineering team, working at the frontier of quantum middleware, algorithms, and execution infrastructure., • A role with real scope and leverage., • Competitive compensation and meaningful equity aligned with building long-term value., • The mandate to build a marketing function over time., • High autonomy, low bureaucracy, and a culture that values rigor, speed, and intellectual honesty over buzzwords., • Front-row exposure to top enterprise pilots, hardware partners, academic collaborations, and global quantum ecosystems. Base Compensation (NY based): $150,000 - $210,000

Job Description At Solve Intelligence, we’re building the AI-powered infrastructure for the global Intellectual Property landscape. We need a rare hybrid - a Legal and Product Engineer who sits at the exact intersection of patent law and AI innovation to ensure our engine is technically superior and legally airtight. 🏗️ The Role: Legal and Product Engineer This isn't your typical client-facing role or traditional R&D position. You are the bridge between the complex nuances of patent practice and the cutting-edge AI technology transforming it. You will translate the "language of law" into the "logic of code." What you’ll own: AI Output Engineering: Partner with our AI researchers to iterate on algorithms and prompt engineering, specializing our LLMs for patent-specific tasks like claim analysis, prior art comparison, and obviousness assessments. Legal Benchmarking: Build proprietary datasets and evaluation frameworks to measure AI performance against real-world USPTO and international patent office requirements. Product Roadmap: Serve as the internal voice of the practitioner. You’ll translate deep client insights from global firms into high-priority product features. Strategic Partnership: Act as a technical thought partner for IP teams at firms like DLA Piper, leading pilots and ensuring our AI scales seamlessly across their prosecution and litigation workflows. Playbook Development: Document and scale best practices for AI adoption across diverse sectors, from biotech to deep-tech software. 💡 About Solve Intelligence We’re the fastest-growing startup transforming the IP industry. Traction: 20-30% MoM revenue growth; selling to 600+ global IP teams (DLA Piper, tech boutiques, and global enterprises). Proven Value: Users report 50-90% efficiency gains using our AI platform. Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. 👋 Your Team You’ll work directly with a founding team of AI PhDs and systems experts: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture of "hackers" and builders. Bilingual: You can speak "Patent" to an attorney and "Prompt" to an engineer without losing anything in translation. Speed & Feedback: You want to put tools in users' hands in days, not months, and you thrive on rapid iteration. Extreme Ownership: You take responsibility for the accuracy of our AI's legal reasoning and the success of our global client deployments. Driven & Humble: You are a high-achiever willing to go the extra mile to tackle unsolved AI problems in the patent space. 🛠️ What You Bring Must-Haves: Qualified Professional: Admitted to practice before the USPTO, EPO or JPO. 3+ Years Experience: Direct experience in patent prosecution, understanding the "pain points" of the industry first-hand. Technical Foundation: Undergraduate degree in Engineering, Computer Science, or Life Sciences. Preferred & Nice-to-Haves: AI Tinkerer: Hands-on experience with prompt engineering and LLM tools. Client-Facing Pro: Proven ability to manage relationships and lead strategic product demos. Coder-Lite: Familiarity with Python or a background in software development. Visionary: A deep belief that AI will fundamentally redefine the legal landscape. 🎁 What We Offer Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company. Founding Impact: You will be the architect of how AI is applied to patent law globally. Support: Full visa sponsorship and private medical insurance. The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team. Ready to define the future of Intellectual Property? Apply now. 🚀 Compensation Range: $100K - $220K

Job Description Fortegra is seeking an Internal AI Forward Deployed Software Engineer to stay ahead of cutting-edge AI developments, rapidly prototype proofs-of-concept (POCs), and advise our organization's various technology teams on integrating the best AI solutions into their platforms and products. You'll be the go-to expert in bridging emerging AI technologies with our internal tech needs, enabling nimble adoption across teams and deploying AI apps in production. Roles and Responsibilities • Monitor and stay current with the AI technology landscape, including new models, frameworks, tools, and research across areas such as LLMs, multimodal AI, agentic systems, and orchestration platforms, to inform internal recommendations and solution design., • Operate with flexibility across software and data initiatives, contributing where business needs and priorities are most critical. Adapting readily to support both software engineering and data-focused projects as priorities and requirements shift will be integral to the role. Data-focused projects involve supporting our data infrastructure in terms of platform enhancements or building new data processes to support business needs., • Engage with internal stakeholders to identify high-value AI opportunities, define use cases, and rapidly prototype tailored solutions that integrate with our APIs, data pipelines, and internal platforms for workflows such as analytics, automation, and decision support., • Advise teams on the selection and implementation of AI solutions by assessing trade-offs across accuracy, latency, scalability, security, and cost, and guide the evolution of prototypes into production-ready applications., • Own end-to-end delivery of AI initiatives, from ideation and scoping through prototyping, testing, deployment, monitoring, and iterative optimization in internal production environments. Build a sharp eye for continuously validating AI-driven processes and evaluating their outputs for accuracy, effectiveness, and trustworthiness., • Identify reusable patterns, shared components, and platform enhancement opportunities emerging from AI projects, and partner with core engineering teams to improve maintainability, scalability, security, and operational resilience., • Conduct workshops, demos, and knowledge-sharing sessions to educate teams on AI best practices, emerging tools, and Fortegra's evolving AI capabilities, helping drive organization-wide adoption and responsible usage., • Operate effectively across multiple high-priority initiatives, contributing as an engineer, technical advisor, researcher, and communicator in a fast-moving and often ambiguous environment. The above cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform. Required Skills and Qualifications • Bachelor’s degree in Computer Science or a related field required; Master’s degree in Computer Science or a related discipline with a focus on AI or machine learning is preferred., • 3 to 5 years of software engineering experience, including hands-on development of AI-enabled applications and solutions using modern cloud-based AI platforms such as Azure Machine Learning or Azure AI Studio. Experience with Azure is strongly preferred., • Proven track record of rapidly building POCs and advising on AI integration strategies, with strong knowledge of current AI trends, leading model families, evaluation approaches, and practical enterprise use cases., • Experience with developer tooling such as Claude Code, GitHub Copilot, and Cursor is required., • Strong full-stack engineering skills, including proficiency in React-based web development and the ability to review, understand, and refine AI-generated code. Experience designing or implementing agentic workflows is highly valued. Familiarity with FastAPI is preferred., • Experience working with frontier models from providers such as OpenAI, Anthropic, and Google within a Git-based development environment. Familiarity with GitHub-based CI/CD workflows and the use of AI tools for automated testing, including tools such as Playwright, is strongly preferred., • Demonstrated ability to work with speed and flexibility across multiple priorities, debug complex AI-driven systems, and deliver effective solutions under tight timelines., • Strong communication and stakeholder management skills, with the ability to work effectively in matrixed organizations and translate complex technical concepts for both technical and non-technical audiences., • Clear commitment to continuous learning, with an established habit of staying current on AI developments through research papers, newsletters, hands-on experimentation, and industry forums. Preferred Qualifications: • Insurance or Financial Services domain experience, • Experience building AI-enabled products or developer tooling, • Familiarity with LLMs, AI agents, and prompt engineering, • Experience with serverless and cloud-native architectures What Makes This Role Unique: • Work in an AI-first engineering environment, • Use modern AI developer tools to dramatically accelerate development, • Join a high-impact engineering team focused on rapid innovation Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more. The anticipated salary for this position is $110,000 - $190,000 per year, based on qualifications and experience. FORTEGRA IS NOT ACCEPTING UNSOLICITED RESUMES FROM SEARCH FIRMS FOR THIS POSITION. Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or assume sponsorship of employment visas at this time. We welcome applicants of all backgrounds and national origins. Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. Internal Notice: As part of our commitment to talent development, this position is open for internal promotion applications at the time of public posting. #LI-Onsite

Job Description Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale. We're hiring ML Engineer to build and own the infrastructure that powers it — from training models on tens of millions of patients and hundreds of millions of rows of claims data, to serving real-time quotes in seconds against inference-time datasets that run into the trillions of rows. You'll also build the tooling that lets our data scientists and actuaries iterate faster than ever. This is an ML infrastructure role with real room to do ML and data science. You'll own the platform, but you'll also have the opportunity to work alongside our data scientists and actuaries to test and evaluate your own ideas — not just support theirs. What You'll Work On Training infrastructure for underwriting Build and own the infrastructure layer that powers our underwriting model, trained on tens of millions of patients and hundreds of millions of rows of claims data. Make training reliable, reproducible, and scalable as data volume and model complexity grow. Real-time inference for quoting Build and own the API layer that produces quotes in seconds — serving a trained model against a much larger inference-time dataset, on the order of trillions of rows of claims across hundreds of millions of people. Own the latency, reliability, and scalability of the serving path the quoting product depends on. Accelerate data science iteration Make it as easy as possible for data scientists and actuaries to test new features and ideas. Build backtesting and validation infrastructure so model performance can be measured quickly and trustworthily. Remove friction from the path between an idea and a validated, production-ready model — make experimentation simpler than it's ever been. What We're Looking For A strong track record building ML or data infrastructure in production at scale. Deep proficiency in Python, with comfort in processing large datasets (Spark, Databricks, or equivalent). Experience with model training pipelines and/or low-latency model serving in production. Experience building tooling that makes other people faster — feature testing, experiment tracking, backtesting, or similar developer/researcher-facing infrastructure. The ability to own systems end-to-end, set standards, and operate reliable production infrastructure (SLAs, monitoring, on-call). Genuine interest in the modeling itself — you want to occasionally get your hands into the data science, not only the infrastructure. Nice to Have Prior experience in a regulated space like healthcare or insurance. Experience with MLOps tooling (MLflow or similar), feature stores, or experimentation platforms. Experience supporting data science or actuarial teams in production environments. Compensation $180,000 – $230,000 + equity Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. 🔒 Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

Job DescriptionA little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview The purpose of the Research Director role is to ensure Knit customers successfully achieve their desired research outcomes through their partnerships with Knit. By owning customer relationships, getting deeply engrained in customer research needs, and driving high-quality project deliverables, the Research Director's impact is ultimately measured by positive customer retention and expansion. Responsibilities | What you will own... The research function is a primary contributor to Knit's shared business objectives of customer retention and upsells, ultimately measured by Net Revenue Retention (NRR) in addition to supporting successful Pilot to Subscription Conversions for acquiring new business. The levers the Research Director role owns to influence these key business objectives are: • Research Success → Ensuring Knit Customers successfully achieve their desired research outcomes through their projects with Knit, measured by successfully achieving Research Objectives and delivering on Knit's Quality & Speed service-level agreements (SLA's) Primary responsibilities of this role: • Serving as the dedicated research lead for all customers' projects (on assigned accounts) and serving as the ultimate accountable party for research project success, • Driving and documenting in-depth project scoping to uncover a deep understanding of research objectives and project context to set up project success, • Driving as the strategic problem solver and research subject matter expert partner for customers, effectively being able to propose solutions to business & research needs, • Driving as a solutions architect for customers, educating them on Knit's research capabilities, consulting with them to adjust for fringe requirements, and proposing solutions to maximize project success, • Driving, maintaining, and enriching all customer context to improve Knit's ability to meet the customers' custom research needs, • Participating in continuous innovation on Knit's AI product to minimize the delta between Knit's AI output and a human researcher output, • Being the final, customer-ready check and approver on all Knit final topline delivery and presenting the key insights and recommendations directly to the customers, • Driving on feedback collection on "the last mile" - uncovering and documenting what happens after Knit delivers a project to when it's "stakeholder ready," supporting Knit's product vision in getting to stakeholder ready reports, • Successful & effective people management of direct reports, ensuring they are successfully fulfilling their role's responsibilities and growing in impact (People Management at Knit includes driving performance, driving clarity and accountability, hiring, onboarding, upskilling competencies, performance management, conflict resolution, and morale building.)Required Skills & Experiences Required: • Must have 8+ years of market research experience, with the majority of the time spent on the supplier side in a market research agency environment., • Must have experience leading discovery and scoping calls, writing and editing quant and qual questionnaires from scratch, drafting analysis plans, and creating and presenting stakeholder-ready insights topline & reports., • Ability to drive initiatives and outcomes in ambiguous environments, both for navigating complex customer needs and Knit internal business changes. Proven track record successfully operating in an early stage startup (<50 employees) is a plus., • Proven track record of owning client relationships with customers at Enterprise, Fortune 500 US-based companies, specifically working with insights professionals to scope and achieve desired research outcomes, resulting in customer retention and growth., • Ability to drive initiatives and outcomes successfully in environments with competing priorities, multiple research projects on at a given time, and simultaneous internal business demands., • Effective People Manager both cross-functionally and at the team level - specifically in driving clarity and accountability, hiring, onboarding, performance management, conflict resolution, and morale building.Benefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $140,000 - $160,000. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through)., • Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. In accordance with New York pay transparency requirements, the salary range for this role is listed below. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Salary Range$140,000—$160,000 USD Knit Privacy Policy here. CCPA disclosure here.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Specialist Field Engineer at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on securing Kubernetes workloads within cloud infrastructure environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Security product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • Represent CoreWeave at conferences and industry events, with occasional travel as required. Who You Are: • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on securing Kubernetes workloads, • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking, • Deep understanding of administrating Kubernetes clusters including controls such as RBAC, admission controllers, container security, etc., • Proven experience describing security concepts clearly, along with best practices and an understanding of the security tooling landscape in Kubernetes environments Preferred: • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to securing Kubernetes environments, • Experience with building solutions across multi-cloud environments, • Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space, • You're an expert in managing conflict and achieving mutually beneficial technical outcomes Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates 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. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionA little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview We're hiring a Senior Product Manager to help redefine what customer understanding looks like in an AI-native world. You'll help us find the right problems, shape the right bets, and partner with engineering, research, and GTM to ship work that 50+ Fortune 1000 brands depend on. We're expanding our product surface area rapidly, which means whoever owns a surface has unusual leverage over what Knit becomes. You'll ship in two-week cycles alongside one of the strongest engineering benches you'll find at this stage – the kind of partnership that shortens the distance between idea and production in ways most PMs haven't experienced. You'll partner closely with our Director of Product, CTO, CEO, on-staff PhD-level Researchers, and Engineering Leads. This is a high-ownership role on a senior-heavy team. We expect your instincts to sharpen what we build and your execution to move us faster. Outcomes Success in this role is defined by sharper product decisions, stronger execution, and measurable customer and business impact on the surface you own. • Customer adoption of shipped work: Usage and adoption rates of new and materially updated capabilities within our target ICP., • Product velocity and roadmap reliability: Consistent shipping against outcome-driven commitments, with fewer mid-stream changes and clearer scope on what's in vs. out., • Customer and business impact: Expansion revenue, win rate, retention, and customer value creation attributable to your product work., • Cross-functional coherence: Engineering, Research, and GTM operating from one shared reality about what matters most, and why.Responsibilities | What you will own... Primary responsibilities of this role: • Own a Meaningful Product Surface End-to-End Drive the full lifecycle of your product surface, from discovery to delivery to adoption. Write crisp specs, prioritize ruthlessly, and partner with engineering. Own outcomes, not outputs. Build Direct Customer Intuition Spend meaningful time with customers. Work alongside our PhD-level Researchers, but build your own direct understanding of how our users and buyers at Fortune 1000 brands actually think. • Engage with AI-Native Product Decisions Contribute to shaping the AI layer of our product: eval strategies, quality loops, failure-mode design, when to trust the model versus defer to humans. You don't need to have done this at scale before — but you need to be genuinely curious and building fluency fast. Operate as a Force Multiplier Across R&D and GTM Drive clarity on tradeoffs, reduce mid-stream thrash, and keep Engineering, Research, and GTM aligned on what matters most. • Grow Into Company Level Thinking We want your perspective on how we plan quarters, how we position against competitors, and how we tell our story to customers. The best ideas here come from people closest to the product and the customer — that's you.Required Skills & Experiences Required: • 4+ years as a Product Manager, including time at a company with a strong product culture where you were pushed to think rigorously about customers and tradeoffs., • 0→1 experience. You've taken a product from zero to meaningful customer usage. Ideally, in an early-stage environment (seed/Series A), where you didn't have a full supporting cast to lean on., • Growing AI fluency. You've worked on or shipped features that involve AI or ML. You're curious about how LLMs work, you use AI tools actively in your own workflow, and you have a developing point of view on how the PM role is evolving in an AI-native world., • Strong written and verbal communication. You can write a tight spec, run a crisp meeting, and bring people along clearly., • Technical comfort. You can hold a real conversation with engineers about architecture and tradeoffs — you don't need to write the code, but you need to understand it. Nice to Haves • Previous founder or first-PM experience at an early-stage startup, • Experience building tools for researchers or in the market research industryBenefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $190,000 - $220,000. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through)., • Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. In accordance with New York pay transparency requirements, the salary range for this role is listed below. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Salary Range$190,000—$220,000 USD Knit Privacy Policy here. CCPA disclosure here.

Job Description Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. About the Role Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale. We're hiring a Senior ML Infrastructure Engineer to build and own the infrastructure that powers it — from training models on tens of millions of patients and hundreds of millions of rows of claims data, to serving real-time quotes in seconds against inference-time datasets that run into the trillions of rows. You'll also build the tooling that lets our data scientists and actuaries iterate faster than ever. This is an ML infrastructure role with real room to do ML and data science. You'll own the platform, but you'll also have the opportunity to work alongside our data scientists and actuaries to test and evaluate your own ideas — not just support theirs. What You'll Work On Training infrastructure for underwriting Build and own the infrastructure layer that powers our underwriting model, trained on tens of millions of patients and hundreds of millions of rows of claims data. Make training reliable, reproducible, and scalable as data volume and model complexity grow. Real-time inference for quoting Build and own the API layer that produces quotes in seconds — serving a trained model against a much larger inference-time dataset, on the order of trillions of rows of claims across hundreds of millions of people. Own the latency, reliability, and scalability of the serving path the quoting product depends on. Accelerate data science iteration Make it as easy as possible for data scientists and actuaries to test new features and ideas. Build backtesting and validation infrastructure so model performance can be measured quickly and trustworthily. Remove friction from the path between an idea and a validated, production-ready model — make experimentation simpler than it's ever been. What We're Looking For A strong track record building ML or data infrastructure in production at scale. Deep proficiency in Python, with comfort in processing large datasets (Spark, Databricks, or equivalent). Experience with model training pipelines and/or low-latency model serving in production. Experience building tooling that makes other people faster — feature testing, experiment tracking, backtesting, or similar developer/researcher-facing infrastructure. The ability to own systems end-to-end, set standards, and operate reliable production infrastructure (SLAs, monitoring, on-call). Genuine interest in the modeling itself — you want to occasionally get your hands into the data science, not only the infrastructure. Nice to Have Prior experience in a regulated space like healthcare or insurance. Experience with MLOps tooling (MLflow or similar), feature stores, or experimentation platforms. Experience supporting data science or actuarial teams in production environments. Compensation $180,000 – $230,000 + equity Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. 🔒 Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

Job DescriptionA little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview We're continuing to build out our NYC engineering team and are looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments. As an early member of the team, you'll play a key role in shaping the core of our platform and contributing to a team that will scale to 20+ engineers over the next 18 months. You'll build and orchestrate AI agents, explore new UX paradigms, and work on some of the hardest problems in applied AI with meaningful ownership across the stack. Responsibilities | What you will own... Primary responsibilities of this role: • Own 0→1 and 1→N features across the stack, from design docs to building high-throughput data pipelines and scalable FastAPI services., • Architect and own the core agent orchestration engine, designing complex, multi‑agent LLM workflows (routing, tool‑use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users., • Build AI‑native, human‑in‑the‑loop UIs. Craft React/Next.js interfaces that let users collaborate safely with agents, with transparency and explainability by design., • Develop the "factory for the factory". Build our experimentation platform: CI/CD for prompts and agents, offline/online evals, drift detection, safety layers, and rollout controls., • Ship fast, safely. You'll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch., • Partner cross‑functionally with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product., • Obsess over performance, optimizing for latency across the system: caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU/CPU)., • Operate what you build. This includes on‑call ownership, leading incident response, and driving learning through blameless postmortems., • Level-up the team around you. Mentor and collaborate with other engineers to help make the entire team better.This role is for you if..., • You're a 0 → 1 builder who thrives in ambiguity and has shipped products from scratch at a startup or in a hyper-growth phase. You've seen both - early-stage hustle and later-stage scale and know how to build for it., • You're a systems thinker with deep technical chops: you design clear architectures and write clean, tested Python and TypeScript., • You think like an owner: you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes., • You use AI as leverage. Tools like Cursor, Copilot, or Claude Code are integral to your workflow, helping you ship faster while maintaining a high standard for correctness., • You believe speed and quality aren't opposites and can articulate the tradeoffs you make., • You communicate crisply. You share your ideas effectively and thrive in tight feedback loops with product, design, and customers., • You've got grit: hard problems energize you, context switching doesn't scare you, and you're comfortable deleting code.Our Stack, • Frontend: React, Next.js, • Backend: Python, FastAPI, • Data/ML: MongoDB, S3, Redis; Pinecone, • Infra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions., • Messaging: SQS; event‑driven pipelines.Required Skills & Experiences The successful candidate will be a high-ownership, product-minded engineer who combines strong full-stack fundamentals with experience building AI-native systems, capable of turning ambiguous problems into scalable, reliable features that drive real business impact. Required: • Experience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs., • Deep knowledge of event‑driven systems, streaming, and workflow engines., • Expertise in observability (OpenTelemetry/Prometheus/Datadog), feature flagging, or A/B platforms., • Background in enterprise security and compliance (SOC 2, GDPR), • Bias to action: short specs, small PRs, daily deploys., • In-person collaboration: we're building the NYC hub together; whiteboards > long threads., • High ownership: you'll touch product, talk to customers, and influence the roadmap.Benefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $250,000 - $300,000. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through)., • Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. In accordance with New York pay transparency requirements, the salary range for this role is listed below. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Salary Range$250,000—$300,000 USD Knit Privacy Policy here. CCPA disclosure here.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job DescriptionA little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview We're continuing to build out our NYC engineering team and are looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments. As an early member of the team, you'll play a key role in shaping the core of our platform and contributing to a team that will scale to 20+ engineers over the next 18 months. You'll build and orchestrate AI agents, explore new UX paradigms, and work on some of the hardest problems in applied AI with meaningful ownership across the stack. Responsibilities | What you will own... Primary responsibilities of this role: • Own 0→1 and 1→N features across the stack, from design docs to building high-throughput data pipelines and scalable FastAPI services., • Architect and own the core agent orchestration engine, designing complex, multi‑agent LLM workflows (routing, tool‑use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users., • Build AI‑native, human‑in‑the‑loop UIs. Craft React/Next.js interfaces that let users collaborate safely with agents, with transparency and explainability by design., • Develop the "factory for the factory". Build our experimentation platform: CI/CD for prompts and agents, offline/online evals, drift detection, safety layers, and rollout controls., • Ship fast, safely. You'll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch., • Partner cross‑functionally with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product., • Obsess over performance, optimizing for latency across the system: caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU/CPU)., • Operate what you build. This includes on‑call ownership, leading incident response, and driving learning through blameless postmortems.This role is for you if..., • You're a 0 → 1 builder who thrives in ambiguity and has shipped products from scratch at a startup or in a hyper-growth phase. You've seen both - early-stage hustle and later-stage scale and know how to build for it., • You're a systems thinker with deep technical chops: you design clear architectures and write clean, tested Python and TypeScript., • You think like an owner: you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes., • You use AI as leverage. Tools like Cursor, Copilot, or Claude Code are integral to your workflow, helping you ship faster while maintaining a high standard for correctness., • You believe speed and quality aren't opposites and can articulate the tradeoffs you make., • You communicate crisply. You share your ideas effectively and thrive in tight feedback loops with product, design, and customers., • You've got grit: hard problems energize you, context switching doesn't scare you, and you're comfortable deleting code.Our Stack, • Frontend: React, Next.js, • Backend: Python, FastAPI, • Data/ML: MongoDB, S3, Redis; Pinecone, • Infra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions., • Messaging: SQS; event‑driven pipelines.Required Skills & Experiences The successful candidate will be a high-ownership, product-minded engineer who combines strong full-stack fundamentals with experience building AI-native systems, capable of turning ambiguous problems into scalable, reliable features that drive real business impact. Required: • Experience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs., • Deep knowledge of event‑driven systems, streaming, and workflow engines., • Expertise in observability (OpenTelemetry/Prometheus/Datadog), feature flagging, or A/B platforms., • Background in enterprise security and compliance (SOC 2, GDPR), • Bias to action: short specs, small PRs, daily deploys., • In-person collaboration: we're building the NYC hub together; whiteboards > long threads., • High ownership: you'll touch product, talk to customers, and influence the roadmap.Benefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $200,000 - $275,000. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through)., • Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. In accordance with New York pay transparency requirements, the salary range for this role is listed below. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Salary Range$200,000—$275,000 USD Knit Privacy Policy here. CCPA disclosure here.

Job DescriptionA little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview We're looking for Knit's first Sales Development Representative (SDR) to help us scale outbound pipeline generation and shape the future of our go-to-market motion. This role sits at the intersection of marketing and sales, working directly with Marketing leadership, Account Executives, and Client Partners. to identify and engage senior insights and research leaders at some of the world's most influential brands. The SDR will be responsible for driving qualified meetings and new opportunities through personalized, account-based outreach and strategic follow-up on marketing programs. As Knit's first SDR, you'll be a foundational team member — helping to define our outreach strategy, messaging frameworks, and tools that will scale our revenue engine. Responsibilities | What you will own... Key Performance Indicators • 10-15 qualified meetings booked per month, • 6–8 sales qualified opportunities created per month, • $150K–$250K in sourced pipeline per month, • Conversion rate of 40–50% from meeting → opportunity Primary Responsibilities • Execute highly personalized outbound outreach (email, phone, and LinkedIn) to enterprise and mid-market insights teams, market researchers, and new emerging personas., • Partner with Marketing on account-based campaigns tied to events, content, and product launches., • Follow up on inbound demo requests, webinar attendees, and marketing-qualified accounts within 24 hours., • Conduct discovery to qualify interest, needs, and timing before handing off to AEs., • Collaborate with Sales and Marketing to refine ICP targeting and outbound sequences., • Maintain accurate CRM hygiene and pipeline reporting in Salesforce., • Test and optimize messaging, personalization tactics, and sequencing cadences., • Contribute feedback loops on messaging effectiveness, objection trends, and persona insights to Marketing and Product., • Experience using or eagerness to adopt AI-enabled sales tools to streamline research, personalization, and sequencing.Required Skills & Experiences A successful candidate for this role (fill in short sentence here) Required: • 1–3 years of experience in an SDR or BDR role at a B2B SaaS or services company, ideally selling into enterprise or marketing/research functions., • Proven success meeting or exceeding pipeline generation and meeting-booking targets., • Strong written communication and storytelling skills — you'll often be the first impression of Knit to senior decision-makers., • Confidence and professionalism in reaching out to VP- and Director-level prospects., • Curiosity and eagerness to learn the market research and insights ecosystem quickly., • Comfortable using CRM and sales engagement tools (HubSpot, Apollo, LinkedIn Sales Navigator)., • Proactive, organized, and motivated by both personal and team goals. Nice to Haves • Experience in or selling to market research or insights teams., • Exposure to account-based marketing or multi-touch campaigns., • Familiarity with AI/tech-driven SaaS products.Benefits If US: Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the expected base salary range for this role is $65,000 with OTE of $100,000 annually; final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through)., • Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. In accordance with New York pay transparency requirements, the salary range for this role is listed below. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Salary Range$65,000—$70,000 USD Knit Privacy Policy here. CCPA disclosure here.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Senior Specialist Field Engineer at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on networking technologies within high-performance compute (HPC) environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Networking product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • Represent CoreWeave at conferences and industry events, with occasional travel as required. Who You Are: • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, Field Engineer, Engineer, Researcher, or Technical Account Manager in Cloud Infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on infrastructure networking., • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Expertise with a broad range of networking technologies and topics, with a familiarity to understand the needs and use cases is it relates to securing and enabling high performance networking engironments., • Experience with managing infrastructure networking, Kubernnetes CSI management, and private networking concepts, • Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) Preferred: • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to network technologies, • Experience with building solutions across multi-cloud environments, • Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space, • You're an expert in managing conflict and achieving mutually beneficial technical outcomes Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates 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. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the Role: We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this role, you will design, develop, and deploy the algorithmic systems that power Garner's products and drive meaningful impact for our members. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. What you will do: • Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on, • Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks, • Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship, • Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, • Find novel ways to frame and solve the team's hardest problems, proving out approaches that others build on, • Set the bar for quality by reviewing others' work with rigor, and build the standards and evaluation tooling the team relies on, • Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: • Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions., • AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely., • Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.The ideal candidate has:, • 4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 2+ years of industry experience with a relevant advanced degree, PhDs preferred, • A bias toward action, quickly translating ideas into working prototypes to test approaches, • Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them, • Deep technical range, with fluency across Garner's data and a habit of staying current with advances in the field, • Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem, • Strong communication skills and the ability to synthesize complex algorithmic ideas for senior and external stakeholders, and to secure buy-in for cross-team work, • A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target base comp range for this position is $236,000 – $260,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: As a Senior Product Marketing Manager for CoreWeave software products like W&B Models and W&B Weave, you will help define and scale the narratives, product launches, and go-to-market strategy for the platform that AI researchers and developers rely on to build, evaluate, and improve AI models and agents. You will sit at the intersection of AI research, model and agent development, and production AI operations, translating deeply technical capabilities into compelling stories that resonate with AI researchers, engineers, platform teams, and technical decision-makers. Working closely with Product, Engineering, Sales, Developer Relations, and Customer Marketing, you'll help shape how the market understands and adopts the next generation of AI development workflows. This is a highly cross-functional role that requires technical fluency, excellent communication skills, and a passion for helping developers build better AI products. About the role: As Product Marketing Manager, you will be responsible for defining the value proposition, positioning, messaging, and GTM strategy for CoreWeave's AI researcher and developer tools. We offer a broad portfolio of products spanning experiment tracking, model evaluation, AI observability, agent development, and MLOps, helping the world's leading AI teams build, evaluate, and operate AI models and agents with confidence and speed. This role sits at the forefront of our purpose-built tools for accelerating the agent loop. You'll help shape the future of agent workflows, enabling agents to run, generate traces, be evaluated, incorporate feedback, and continuously improve through an iterative development cycle. You will work with key stakeholders in marketing, sales, product management and engineering to shape CoreWeave's software portfolio growth. You're eager to listen to customers, understand the mechanics of how we win in the market, and package key insights into scalable value propositions in close collaboration with other teams across the organization. This is an opportunity to lead the industry with unmatched performance, breakthrough innovations, and differentiated value propositions. It is critical that you leverage data and analytics to demonstrate impact of your work through metrics from adoption to deal flow in a way that is intuitive for your stakeholders and senior executives. Positioning & Messaging • Develop compelling positioning and messaging for products across experiment tracking, model evaluation, agent observability improvement and, and MLOps workflows., • Create narratives, demos, and product storytelling that clearly communicate CoreWeave's differentiation and value to AI researchers, engineers, platform teams, and technical decision-makers., • Support product launches with persona-driven messaging grounded in customer insights, market research, and product adoption data., • Partner with Demand Generation and Content Marketing to develop campaign briefs and messaging frameworks that scale across the customer journey. Customer Advocacy & Market Insights • Partner with Customer Success and Sales teams to uncover customer stories, use cases, and measurable outcomes., • Develop customer case studies, testimonials, and reference materials that demonstrate the business and technical impact of our products., • Collaborate with Content Marketing and Demand Generation teams to amplify customer successes through blogs, webinars, events, and other thought leadership channels., • Gather and synthesize customer feedback, competitive intelligence, and market trends to inform messaging, positioning, and product strategy., • Help establish repeatable processes for capturing customer insights and sharing them across the organization. Go-to-Market & Sales Enablement • Equip Sales, Solutions Architects, and Customer Success teams with messaging frameworks, battlecards, competitive intelligence, presentations, and technical enablement content., • Develop product-focused content that clearly articulates the value of our platform for building, evaluating, and operating AI systems., • Support product launches and adoption initiatives in partnership with Product, Engineering, Developer Relations, and Sales teams., • Collaborate with strategic technology and ecosystem partners to strengthen CoreWeave's market presence and developer adoption., • Be the hands-on product expert by building and running AI workflows with the tools, creating compelling demos, and leveraging firsthand product experience to shape messaging, enablement, and customer engagements. Metrics & Measurement • Measure the effectiveness of product positioning, messaging, and launch activities through adoption, engagement, and pipeline metrics., • Track the impact of sales enablement assets and go-to-market programs on pipeline generation, deal velocity, and win rates., • Analyze product adoption and customer retention trends to identify opportunities for improved messaging and growth., • Monitor competitive dynamics and help improve performance in strategic opportunities., • Report on product marketing's contribution to awareness, adoption, customer expansion, and revenue growth.Who You Are:, • 5+ years of experience in Product Marketing, Technical Marketing, Product Management, Developer Marketing, or a related go-to-market role, ideally within AI/ML, developer tools, SaaS, data platforms, or enterprise software., • Strong technical aptitude with the ability to collaborate effectively with Product, Engineering, Developer Relations teams, and Solutions Architects., • Ability to understand complex AI, machine learning, or developer workflows and translate technical capabilities into clear customer value, compelling narratives, and differentiated positioning., • Experience creating product launches, sales enablement materials, customer-facing content, demos, case studies, webinars, and other go-to-market assets., • Familiarity with customer research, persona development, customer journeys, use-case identification, and customer advocacy programs., • Proven ability to manage cross-functional projects and contribute to successful product launches, adoption initiatives, and integrated marketing campaigns., • Strong written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders., • Curiosity about AI, machine learning, LLMs, AI agents, and the tools developers use to build, evaluate, and operate AI systems.Preferred:, • Academic or business background in AI and machine learning, • Hands-on experience with Python, data science, machine learning workflows, or developer tools. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You enjoy translating complex AI and machine learning workflows into clear, compelling stories that resonate with audiences ranging from AI researchers and engineers to technical leaders and business stakeholders., • You're naturally curious about how AI models and agents are built, evaluated, and deployed, and you instinctively ask, "What problem does this solve for customers?" before developing messaging or launching a campaign., • You thrive at the intersection of technology and go-to-market strategy, using customer insights, market research, and competitive analysis to shape positioning and drive adoption., • You enjoy partnering across Product, Engineering, Developer Relations, Sales, and Customer Success to bring new products and features to market., • You're excited by the rapidly evolving AI landscape and want to help define how developers build, evaluate, and operate the next generation of AI systems., • You measure success not only by launches and content creation, but by meaningful business outcomes such as product adoption, customer engagement, pipeline influence, and revenue growth. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $161,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates 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. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCSG Partners is seeking a content developer and writer to help expand our established thought leadership platform around employee stock ownership plans (ESOPs), business ownership transitions, and middle-market investment banking. The ideal candidate is a strong writer, researcher, and storyteller who can quickly understand complex financial, tax, and transaction-related topics and translate them into clear, compelling content for business owners, advisors, and other professional audiences. This is not a start-from-zero opportunity. You'll build on CSG's established library of educational content, industry reputation, and network of referral sources while helping broaden the reach and impact of our thought leadership efforts. Experience covering investment banking, capital markets, finance, or related business topics is strongly preferred. Responsibilities: • Translate complex ESOP, valuation, tax, transaction, and ownership-transition concepts into clear, engaging educational content., • Develop original thought leadership content, including articles, white papers, guides, email campaigns, social media content, presentations, and website resources., • Manage and expand CSG's library of branded materials, including presentations, one-sheets, and educational resources., • Identify new opportunities to expand the reach and distribution of CSG's content., • Support the development of complementary formats, including live presentations, video, and other digital media. Qualifications: • Exceptional writing, editing, and research skills., • Bachelor's degree in journalism, communications, finance, economics, business, or a related field., • 2+ years of experience in financial journalism, financial content development, investment banking communications, or a related field., • High attention to detail and commitment to accuracy., • Ability to work independently while collaborating with subject matter experts and business leaders., • Familiarity with content management systems, marketing platforms, AI tools, SEO, and related content technologies is a plus., • Experience with video, podcast, or presentation development is a plus. CSG Partners is an equal opportunity employer.

Job DescriptionA little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview We're looking for a Product Marketing Manager to work directly with our Director of Product Marketing. We're in a period of rapid growth: our product is evolving, our sales team is scaling, and our GTM motion is maturing. That means the Product Marketing function here has a deep impact on the trajectory of the company, and what we build now becomes the foundation for how our go-to-market machine operates. This is a hands-on execution role with real ownership. You'll be the person who takes product positioning and messaging strategy and turns it into the infrastructure, programs, and enablement that move deals forward and keep our sales team sharp. This role covers both product launches and sales enablement, giving you hands-on experience across the full GTM motion and the opportunity to develop a depth of Product Marketing experience in a single role. We're an AI-native company and we expect this role to operate that way. You'll use AI fluently in your day-to-day work, and you'll build lightweight workflows, integrations, and automations that scale your output and keep our systems current. Responsibilities | What you will own... Product Launches You'll own end-to-end launch execution and help build the infrastructure that makes each launch more repeatable than the last. • Own end-to-end execution of product launches: coordinating timelines, drafting launch messaging, and ensuring every stakeholder knows what's shipping and how to talk about it, • Build scalable launch infrastructure — templates, processes, and systems — so each release requires less rebuilding from scratch and more refinement, • Translate sprint releases and product updates into crisp internal communications that help a sales rep confidently explain a new capability the morning it ships, • Own and maintain launch assets — FAQs, one-pagers, product narratives, positioning guides and use AI tooling to keep them current as the product evolves, • Partner with our Product team on crafting compelling messaging, and with our content marketer on campaign content Sales Enablement You'll design and run the programs that keep our sales team effective; not trained once, but continuously equipped as the product and market evolve. • Design evergreen enablement programs including onboarding / ever-boarding, and ongoing skill development; and facilitate them with the authority and presence to make them land, • Build and maintain the competitive intelligence system that keeps reps current: competitive positioning guides, objection handling frameworks, and battlecards that reflect how we actually win, • Own rep onboarding curriculum end-to-end so new hires ramp quickly and confidently, • Own our Aligned platform (in partnership with our content marketer): a regular internal communication cadence that keeps the full GTM team current on what's new and how to sell, • Build lightweight AI workflows and automations that scale your output, surfacing the right content at the right moment rather than relying on manually updated documentsRequired Skills & Experiences What Success Looks Like • Sales reps can speak to new product capabilities within days of a launch, not weeks, • New reps ramp faster because the onboarding program is structured, current, and doesn't depend on your constant presence to work, • Launch timing and cadence are proactive, the team knows what's coming and is prepared before it ships, • Enablement materials are living systems, not documents that require a manual refresh cycle, • You can operate autonomously, driving cross-functional initiatives forward without waiting to be directed, while staying closely aligned with the Director of PMM on strategy and priorities About You • 3–5 years of product marketing experience, ideally at a B2B SaaS or tech-enabled services company. Bonus if you have experience in Market Research., • You've owned launch execution before. You know what it takes to coordinate cross-functional stakeholders, hit a date, and get the right message to the right people, • You've built or contributed to sales enablement programs, and you're comfortable presenting and facilitating in front of a sales team, • AI fluent: you use AI tools daily to increase the quality and speed of your work, and you're comfortable building lightweight workflows, integrations, and automations, • Strong writer and storyteller, you can make complex product concepts clear and compelling for a non-technical sales audience, • You think in systems, not documents, you build things that scale and stay current rather than assets that need constant manual upkeep, • Highly organized and proactive about process; you notice when something is missing and build it without being asked, • You work well with a manager who sets direction and trusts you to execute; you don't need every decision made for you, • You're effective at influencing cross-functional stakeholders (product, sales, CS) without direct authority. Nice to Have • Experience in market research, insights, or adjacent data/analytics industries, • Familiarity with AI-powered products or platforms, • Experience in a high-growth startup where the GTM function was still being builtBenefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $110,000 - $135,000. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through)., • Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. In accordance with New York pay transparency requirements, the salary range for this role is listed below. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Salary Range$110,000—$135,000 USD Knit Privacy Policy here. CCPA disclosure here.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Biology & Biophysics Researchers (Part-time) Type: Contract Compensation: $125–$225/hour Location: Remote Commitment: 8–20 hours/week Role Responsibilities • Author and review challenging biology and biophysics problems to train and evaluate frontier AI models., • Evaluate model outputs on tasks such as mechanism prediction, experimental design, and literature interpretation., • Identify areas where current models fail, especially mistakes a working PhD would catch., • Collaborate with a small program team and other senior contributors. Qualifications Must-Have • First-author or co-first-author publications in journals like Nature, Science, Cell, PNAS, eLife, NEJM, Nature Methods, Nature Medicine, Nature Biotechnology, Nature Communications, or top specialty journals., • Doctoral or postdoctoral training at a top-20 global institution for life sciences or STEM., • Competitive fellowships such as HHMI, NIH F31/F32/K99, NSF GRFP/PRFB, Damon Runyon, Helen Hay Whitney, Jane Coffin Childs, Searle, Pew, Sloan, Packard, Simons, Fulbright, or equivalent., • Issued patents, spin-out companies, or grants where the contributor was a named PI or co-PI., • Currently or recently in an active research role: PhD candidate, postdoc, instructor, faculty, principal scientist, or industry researcher. Compensation & Legal • W-2 employment with Cincinnatus LLC; payroll, benefits, and compliance handled by Cincinnatus., • No fixed end date; contributors continue as long as the program needs their expertise. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description The Development Researcher identifies, qualifies, and researches individuals, corporations, and foundations in support of the fundraising efforts of the Metropolitan Opera. The Development Researcher ensures all documents are prepared, proofread, and distributed in a timely manner as well as handling various tasks to support the Research department. Primary Responsibilities • Conduct in-depth prospect research and analysis on individuals, corporations and foundations to assess philanthropic capacity, interests, and affinity, • Prepare clear, concise and confidential donor profiles, briefings and research reports to support cultivation, solicitation and stewardship, • Utilize a variety of research resources and screening tools (iWave, LexisNexis, Altrata, web sources, etc.) to identify and verify prospect information, • Respond to research requests and collaborate with Development Operations, Analytics and frontline fundraising staff to support strategic fundraising efforts, • Maintain accurate and up-to-date prospect research data in Tessitura, • Montior news, philanthropic activity, business developments, and other publicly available information to identify relevant updates on donors and prospects, • Assist in maintaining research standards, documentation, and departmental procedures, • Leverage AI and other emerging technologies, where appropriate, to improve research efficiency while ensuring accuracy, confidentiality, and data integrity, • Perform other duties and special projects as assignedSkills and Qualifications, • Bachelor’s degree, • At least two to four years of research experience in a non-profit setting, • Excellent communication and writing skills, attention to detail, accuracy and proper grammar and punctuation, • Ability to work independently and as a team member, • Ability to maintain strict confidentiality and handle sensitive information and material in a discreet manner, • Ability to accommodate shifting priorities and meet deadlines, • Proficiency with Microsoft Office suite and research resources, • Familiarity with web-based research resources and use of databases, • Tessitura skills a plusPhysical Demands, • Ability to multi-task, prioritize, and work well under pressure, • Ability to communicate effectively and interact professionally with colleagues, • This is a hybrid positionThe Metropolitan Opera is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and existing employees without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, citizenship status, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, or any protected category prohibited by local, state or federal laws. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Mathematics Researchers (Part-time) Type: Contract Compensation: $90–$150/hour Location: Remote Commitment: 8–20 hours/week Role Responsibilities • Author and review challenging mathematics problems to train and evaluate frontier AI models., • Evaluate model outputs on tasks such as proof construction, verification, problem-solving, formalization, and conjecture exploration., • Identify areas where current models fail, focusing on subtle errors like unjustified steps or misapplied hypotheses., • Collaborate with a small program team and other senior contributors to enhance model performance. Qualifications Must-Have • First-author or sole-author publications in top mathematics journals., • Doctoral or postdoctoral training at a top-20 global institution for mathematics or STEM., • Competitive fellowships and honors such as Clay Research Fellowship, NSF GRFP, or Sloan Research Fellowship., • Experience as a PhD candidate, postdoc, instructor, faculty, principal researcher, or industry research mathematician. Preferred • NSF CAREER or other grants as a named PI or co-PI., • Outstanding senior PhD students and recent graduates with strong publication records. Engagement • Part-time: 8 to 20 hours per week., • Compensation reflects research seniority and credentials., • No fixed end date; contributors continue as long as the program needs their expertise. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Manager, Responsible AI & Human Rights \n Department: Mgmt & Administration \n Reporting to: Chief Operating Officer (COO) \n Full-Time (Exempt) \n Location: New York, NY (Hybrid - 1-2 days in office) \n Salary: $80,000-$85,000 \n Application Deadline: 5pm ET, Monday, August 10, 2026 \n See full job description linked here< \n \n Kennedy Human Rights Center is seeking a Manager of Responsible AI & Human Rights to join our growing Business & Human Rights initiative. This is a unique role at the intersection of emerging technology, human rights advocacy, investor accountability, and organizational learning - and it is designed for someone who is as excited to build and execute as they are to think and strategize. \n \n As KHRC's internal expert on ethical AI, you will shape how the organization understands and responds to the risks that artificial intelligence poses to civil liberties, economic justice, and democratic institutions - both in our external programmatic work and in how we operate internally. You will work collaboratively across teams including legal, education, communications, operations, and HR to ensure that AI is approached thoughtfully, consistently, and with a strong grounding in human rights principles. \n \n This role is well-suited for an early-career professional - perhaps someone who has recently completed a graduate degree and has one to a few years of experience - who brings strong knowledge of AI ethics and policy, a practical orientation toward problem-solving, and the energy and initiative to make things happen in a lean, mission-driven environment. \n \n About our KHRC: \n Our team of lawyers and issue experts collaborate with partners worldwide to create lasting legal change. Through legal advocacy, we have freed political prisoners, defended the rule of law, strengthened international legal standards, and amplified the voices of human rights defenders in the United States and abroad. We present the annual RFK Human Rights Award, which recognizes a courageous individual whose activism embodies Robert F. Kennedy’s belief that every individual can make a difference. \n \n Job Responsibilities: \n External Programming & Advocacy (approx. 50%) \n\n • Lead and contribute to KHRC's responsible AI programming as part of the Business & Human Rights initiative, including research, campaigns, white papers, and coalition engagement.\n, • Develop and support investor and shareholder engagement strategies aimed at pushing AI companies toward responsible development, deployment, and disclosure practices.\n, • Identify and pursue strategies to shift institutional capital - asset managers, pension funds, private equity - away from harmful AI applications such as surveillance technology, predictive policing tools, immigration enforcement AI, and biometric monitoring systems.\n, • Serve as an expert resource for KHRC's legal and international advocacy teams on AI-related issues that intersect with active litigation, country programs, and campaigns.\n, • Draft compelling grant proposals, concept notes, and reports in collaboration with the Development team to sustain and grow the program. (Goal: $250K in grants annually; $50K in content and white paper partnership revenue.)\n, • Contribute to public-facing content including reports, statements, amicus briefs, and digital publications.\n\n \n Internal AI Advisory & Implementation (approx. 30%) \n\n • Serve as KHRC's go-to advisor on internal AI policy, usage, and education - helping the organization adopt AI tools ethically and consistently.\n, • Partner with HR, Operations, Communications teams and Sr. leadership to develop and maintain internal AI guidelines, staff training, and governance frameworks.\n, • Identify practical opportunities for responsible AI use that can benefit KHRC's programs, workflows, and communications - and take an active role in implementing those solutions, not just recommending them.\n, • Help KHRC think through how AI intersects with its legal work, educational programs, and advocacy campaigns - and bring ideas to life through thoughtful project delivery.\n\n \n Network, Partnerships & Operations (approx. 20%) \n\n • Build and maintain relationships with civil society organizations, funders, academic institutions, policy networks, and private sector stakeholders working in responsible AI and digital rights.\n, • Represent KHRC in coalitions, working groups, and convenings related to AI accountability, business and human rights, and emerging technology governance.\n, • Manage workplans, timelines, and deliverables across assigned projects, with strong attention to follow-through and execution.\n, • Support program tracking tools and internal database systems (e.g., Salesforce).\n\n \n Supervisory Responsibilities: \n\n • Supervise, mentor, and support any incoming interns and/or fellows that report to this position;\n, • Participate in the recruitment, hiring, and training of interns/fellows;\n, • Provide feedback and guidance for team members to successfully comprehend and align individual goals with program and organization goals and strategies;\n, • Advocate for additional resources, staff capacity, or needed for team success in discussion with the COO.\n\n \n A successful candidate must have the following skills, experiences and interests \n\n • 1-3 years’ experience in responsible AI, AI ethics, AI policy, tech accountability, responsible/impact investing with a technology focus, ESG, investor engagement, corporate responsibility, digital rights, and/or related fields;\n, • Studies in a relevant field such as technology policy, public policy, law, computer science, human rights, or a related discipline;\n, • Strong working knowledge of AI systems and their social and human rights implications, including awareness of relevant frameworks (i.e. the EU AI Act, NIST AI Risk Management Framework, OECD AI Principles, the Council of Europe AI Framework Convention, and emerging US federal and state policy).\n, • You have experience supporting fundraising, grant writing, or development functions, or a demonstrated ability to contribute to those efforts.\n, • Strong understanding of how business, technology, and regulation interact with human rights and civic freedoms globally, including the disparate impacts of AI on historically marginalized communities.\n, • You are an implementer, not just an analyst. You are energized by going from idea to execution and know how to move projects forward in resource-constrained environments.\n, • Skilled in communicating complex technical and policy concepts clearly - in writing, in conversation, and in formal presentations - for audiences who may have no technical background;\n, • You are a skilled researcher and synthesizer who can generate original analysis and distill it into compelling content\n, • See full job description in link above.\n\n \n Benefits and other Perks: \n\n • Flexibility and independence to help manage your work and home life: Staff have the ability to work from home or telecommute 3-4 days a week.\n, • KHRC values your health: We cover 100% of individual-only costs of our platinum medical, dental, vision benefits, and subsidizes the cost for dependent coverage.\n, • KHRC understands the importance of financial planning and saving:\n, • An automatic contribution of 7% of your salary after your first year of employment.\n, • A College Saveup/Loan PayDown program with an automatic $200/monthly contribution for any current loans or future loans.\n, • An automatic monthly cell phone & internet speed stipend of $125/monthly to offset any phone & internet expenses.\n, • Employees receive a $1,000 benefits card each calendar year to use at your discretion towards food and home & life purchases.\n, • KHRC values your growth: We provide an annual $1,000 professional development stipend to all full-time staff to use towards any courses, conferences, or training that would further one's professional learning and development. As well as professional development days/hours to complete these courses.\n, • KHRC loves to celebrate human rights advocates and our hard work! We do so by hosting award ceremonies, galas, summer outings, holiday parties, potlucks, domestic and international staff retreats, and spur-of-the-moment social outings.\n\n \n How to Apply: \n\n • Submit your resume and cover letter to careers@rfkhumanrights.org with “Your Name + Manager, Responsible AI & Human Rights” in the subject heading.\n, • In your cover letter, please include how you heard about this role and why you’re interested in this position.\n, • We know AI tools are part of how many people work and write today - and given the nature of this role, we'd be the last ones to pretend otherwise. That said, what we're really hoping to read is you: your real experiences, your genuine interest in this work, and your own voice. The cover letter especially is our first chance to get to know you. Generic applications are hard to act on - specific, honest ones are what get our attention.\n\n \n No phone calls please. Kennedy Human Rights Center will contact qualified candidates directly. \n \n Kennedy Human Rights Center is an equal opportunity employer and believes we are stronger and more effective by working internally and externally with people of all abilities, diverse backgrounds, and a range of perspectives, particularly those who have historically been marginalized or underrepresented. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We do not discriminate in our hiring practices and in order to build the strongest possible workforce, actively seek a diverse applicant pool. If you're in need of an accommodation at any time during the application and hiring process please contact us by emailing your request to hr@rfkhumanrights.org with the subj. line "Accommodation Request". Examples include, but are not limited to: \n\n • Having documents in alternate formats or read aloud \n, • Having interviews in a more accessible location/format\n

Job Description🏗️ The Role: Sales Development / GTM Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM specialist to build our outbound engine and help us scale to $1B+ ARR. What you’ll own: Identify high-potential leads and strategic prospects within our target market. Drive outbound activity through cold calling, emailing, and social media to hunt new business. Deploy personalized, high-impact outreach campaigns to maximize lead conversion. Sync closely with Account Executives to navigate prospect objections and leverage market trends. Continuously refine outreach strategies based on real-time feedback and market response. Track and report on critical metrics, including conversion rates, lead quality, and outreach velocity. Partner with sales leadership to analyze data and optimize the playbook for scale. 💡 About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI-powered platform handles invention harvesting, patent generation, and portfolio management. 20-30% MoM revenue growth. 300+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises. Users report 50-90% efficiency gains. Recently announced our $40M Series B (Total funding: $55M) from elite investors including Y Combinator, 20VC, and Visionaries. You’ll be joining a founding team with deep pedigree: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture. To thrive here: You prioritize speed, are always itching to move faster, and want to book meetings in hours, not weeks. You have a relentless work ethic and take extreme ownership of your KPIs. You’re willing to go the extra mile to achieve the mission. You thrive in a positive, high-stakes environment and are eager to learn whatever it takes to win. You understand we are at the start of an exponential curve and want to drive mass adoption of state-of-the-art tools. 🛠️ What You Bring Must-Haves: Experience in B2B sales with a history of smashing KPIs and securing high-value meetings. Exceptionally clear written and verbal skills to engage sophisticated legal and technical prospects. A love for the data and a willingness to "grind" alongside the founders. Preferred & Nice-to-Haves: Experience selling complex SaaS products to mid-market or enterprise firms. Frequent user of AI products with an understanding of the current LLM landscape. Side projects, "hustles," or early-stage startup experience that shows you can build from zero. 🎁 What’s In It For You? Competitive base + unlimited commission upside. Meaningful ownership in a rocket ship. Full visa sponsorship and private medical insurance. Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. 🚀 Compensation Range: $90K - $130K

$80 - $150/hourpayPhysics MasteryWritten Technical CommunicationCritical Evaluation & Error DetectionCalibrated Technical JudgmentVerification & Cross-Checking Fluencymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms., • Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology., • Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback., • Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement., • Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument., • Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate., • Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes. Preferred Qualifications • PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials)., • Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist., • Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links., • Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation., • Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars., • Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor., • Reliable access to high-speed internet and a computer suitable for rigorous technical work.

Director, Software EngineeringSkip to main content#Director, Software Engineering page is loaded## Director, Software EngineeringApplyremote type: On-sitelocations: New York, NYtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: REQ495782JLL empowers you to shape a brighter way.Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.About JLL and JLL TechnologiesJLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people, and our communities.JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technological innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and happiness of those that occupy them.Director Engineering – Research Technology Location: New York City (On-site) Role Overview As Senior Engineering Manager for Research Technology & AI Agents, you will lead the engineering execution of JLL's Research transformation in close partnership with the Product Manager – Research Technology and the Research organization. This is a hands-on leadership role focused on building AI-powered platforms and agents that automate research workflows, democratize insights, and enable advanced analytics at global scale. You will champion an AI-augmented engineering culture where the team delivers high-quality, reliable, and scalable outcomes at speed by orchestrating AI development tools, enterprise software agents, and strong engineering judgment. A creative and collaborative thinker at heart, you thrive on solving novel problems alongside product managers, researchers, and data scientists — locking arms across disciplines to passionately build what hasn't been built before. Your role is to set the quality bar, establish effective AI-assisted development practices, and ensure the team leverages these tools to maximize velocity without compromising production standards -- all in service of bringing a truly groundbreaking AI-enabled research platform to life. This role is intentionally co-located in NYC with Product and Research to enable rapid daily iteration between product vision, technical execution, and real researcher feedback — critical for effective AI agent development and deployment. Key Responsibilities Engineering Leadership & Execution Lead and mentor high-impact engineering team, including senior engineers Operate as a hands-on player-coach, contributing to architecture, design, and code reviews Establish and evolve team practices for AI-augmented development — ensuring AI coding assistants and enterprise software agents are leveraged effectively across the development lifecycle Set clear expectations that engineering judgment, code review rigor, and quality validation remain the responsibility of the engineer, not the AI toolPartnership with Product & Research Partner closely with the Product Management – Research Technology on discovery, roadmap execution, and prioritization Work directly with Research users to understand current workflows and future plans and translate them into effective tooling* Enable rapid iteration cycles through tight collaboration with Product and Research teamsAI Agents & Platform Development Design and build AI agents that automate research processes and assist insight generation Lead integration of LLMs, agent orchestration, evaluation, and monitoring capabilities Build scalable services, APIs, and internal tools that support agent-driven analytics Define and enforce quality gates — automated testing, evaluation benchmarks, and guardrails — for agent-driven outputs* Continuously evaluate and adopt emerging AI development tools and agent platforms available within the enterpriseArchitecture & Cloud Platforms Design and evolve cloud-native, microservice-based architectures Develop and maintain secure, scalable APIs consumed by internal products and platforms Collaborate with data, platform, security, and architecture teams to align with enterprise standards, architecture patterns, and Critical Design Reviews (CDRs) Participate in and drive high level design reviews for team-owned systems, ensuring alignment with enterprise architecture governanceDelivery & Ways of Working Support agile delivery across multiple initiatives and teams Manage technical backlogs, dependencies, and delivery risks* Communicate technical decisions and progress clearly to product and senior stakeholdersQualifications Required 10+ years of professional software engineering experience, with 3+ years in an engineering leadership role Proven experience as a hands-on Engineering Manager (player-coach)* Strong back-end expertise in Python, Node.js, Java, Go, or C#* Demonstrated proficiency using AI coding tools and agents to accelerate team delivery, and experience establishing AI-augmented development practices within a team* Strong ability to set quality standards for reviewing, validating, and debugging AI-generated code across a team* Experience designing microservice architectures, distributed systems, and complex platforms* Proven experience building and maintaining RESTful or gRPC APIs* Deep experience with a major cloud platform (AWS or Azure)* Solid experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases* Strong understanding of CI/CD, infrastructure-as-code, and containerization (Terraform, Docker, Kubernetes)* Experience partnering closely with Product Managers and business stakeholdersPreferred Experience building AI/ML or LLM-enabled systems, including agent-based workflows Experience working with data engineering, analytics, or platform teams* Front-end experience with React, Angular, or Vue.js for internal tools Experience in Commercial Real Estate, Research, Financial Services, or other data-intensive domains Experience modernizing legacy platforms and driving technical change This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.Estimated compensation for this position:300,000.00 – 375,000.00 USD per year*This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.*Location:On-site –New York, NYIf this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!Personalized benefits that support personal well-being and growth:JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays* Early access to earned wages through Daily PayAt JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.*JLL Privacy Notice*Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.For additional details please see our career site pages for each country.For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.California Residents onlyIf you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device.Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Accepting applications on an ongoing basis until candidate identified. #J-18808-Ljbffr

Location: New York City (On-site) As Senior Engineering Manager for Research Technology & AI Agents, you will lead the engineering execution of JLL's Research transformation in close partnership with the Product Manager – Research Technology and the Research organization. This is a hands‑on leadership role focused on building AI‑powered platforms and agents that automate research workflows, democratize insights, and enable advanced analytics at global scale. You will champion an AI‑augmented engineering culture where the team delivers high‑quality, reliable, and scalable outcomes at speed by orchestrating AI development tools, enterprise software agents, and strong engineering judgment. A creative and collaborative thinker at heart, you thrive on solving novel problems alongside product managers, researchers, and data scientists – locking arms across disciplines to passionately build what hasn't been built before. Your role is to set the quality bar, establish effective AI‑assisted development practices, and ensure the team leverages these tools to maximize velocity without compromising production standards – all in service of bringing a truly groundbreaking AI‑enabled research platform to life. This role is intentionally co‑located in NYC with Product and Research to enable rapid daily iteration between product vision, technical execution, and real researcher feedback – critical for effective AI agent development and deployment. • Lead and mentor high‑impact engineering team, including senior engineers, • Operate as a hands‑on player‑coach, contributing to architecture, design, and code reviews, • Establish and evolve team practices for AI‑augmented development – ensuring AI coding assistants and enterprise software agents are leveraged effectively across the development lifecycle, • Set clear expectations that engineering judgment, code review rigor, and quality validation remain the responsibility of the engineer, not the AI tool, • Partner closely with the Product Management – Research Technology on discovery, roadmap execution, and prioritization, • Work directly with Research users to understand current workflows and future plans and translate them into effective tooling, • Enable rapid iteration cycles through tight collaboration with Product and Research teams, • Design and build AI agents that automate research processes and assist insight generation, • Lead integration of LLMs, agent orchestration, evaluation, and monitoring capabilities, • Build scalable services, APIs, and internal tools that support agent‑driven analytics, • Define and enforce quality gates – automated testing, evaluation benchmarks, and guardrails – for agent‑driven outputs, • Continuously evaluate and adopt emerging AI development tools and agent platforms available within the enterprise, • Design and evolve cloud‑native, microservice‑based architectures, • Develop and maintain secure, scalable APIs consumed by internal products and platforms, • Collaborate with data, platform, security, and architecture teams to align with enterprise standards, architecture patterns, and Critical Design Reviews (CDRs), • Participate in and drive high level design reviews for team‑owned systems, ensuring alignment with enterprise architecture governance, • Support agile delivery across multiple initiatives and teams, • Manage technical backlogs, dependencies, and delivery risks, • Communicate technical decisions and progress clearly to product and senior stakeholders, • 10+ years of professional software engineering experience, with 3+ years in an engineering leadership role, • Proven experience as a hands‑on Engineering Manager (player‑coach), • Strong back‑end expertise in Python, Node.js, Java, Go, or C#, • Demonstrated proficiency using AI coding tools and agents to accelerate team delivery, and experience establishing AI‑augmented development practices within a team, • Strong ability to set quality standards for reviewing, validating, and debugging AI‑generated code across a team, • Experience designing microservice architectures, distributed systems, and complex platforms, • Proven experience building and maintaining RESTful or gRPC APIs, • Deep experience with a major cloud platform (AWS or Azure), • Solid experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases, • Strong understanding of CI/CD, infrastructure‑as‑code, and containerization (Terraform, Docker, Kubernetes), • Experience partnering closely with Product Managers and business stakeholders, • Experience building AI/ML or LLM‑enabled systems, including agent‑based workflows, • Experience working with data engineering, analytics, or platform teams, • Front‑end experience with React, Angular, or Vue.js for internal tools, • Experience in Commercial Real Estate, Research, Financial Services, or other data‑intensive domains, • Experience modernizing legacy platforms and driving technical change This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. 300,000.00 - 375,000.00 USD per year On‑site - New York, NY • 401(k) plan with matching company contributions, • Comprehensive Medical, Dental & Vision Care, • Paid parental leave at 100% of salary, • Paid Time Off and Company Holidays, • Early access to earned wages through Daily Pay Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job‑related convictions will be considered and will not automatically disqualify the candidate. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n In this role, you will: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. \n • \n Has a deep understanding of the foundations of AI methodologies. \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. \n • \n Experience in delivering libraries, platform level code or solution level code to existing products. \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher I\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher I\n \n New York, NY: $238,600 - $272,300 for Applied Researcher I\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher I\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n In this role, you will: \n \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n\n \n The Ideal Candidate: \n \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. \n • \n Has a deep understanding of the foundations of AI methodologies. \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. \n • \n Experience in delivering libraries, platform level code or solution level code to existing products. \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. \n\n \n Basic Qualifications: \n \n\n • \n Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n\n \n\n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher I\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher I\n \n New York, NY: $238,600 - $272,300 for Applied Researcher I\n \n San Francisco, CA: $238,600 - $272,300 for Applied Researcher I\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher I\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II (AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n In this role, you will: \n \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. \n • \n Has a deep understanding of the foundations of AI methodologies. \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. \n • \n Experience in delivering libraries, platform level code or solution level code to existing products. \n • \n A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. \n\n \n Basic Qualifications: \n \n\n • \n Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research \n\n \n Preferred Qualifications: \n \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher II\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher II\n \n New York, NY: $286,400 - $326,800 for Applied Researcher II\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher II\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher II\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n In this role, you will: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. \n • \n Has a deep understanding of the foundations of AI methodologies. \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. \n • \n Experience in delivering libraries, platform level code or solution level code to existing products. \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher I\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher I\n \n New York, NY: $238,600 - $272,300 for Applied Researcher I\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher I\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams. THE ROLE As a Market Strategy Researcher, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear research, structured analysis, prioritized target lists, and practical recommendations. This is a remote, flexible role for candidates who are analytical, commercially curious, and comfortable moving quickly across business, finance, technology, and strategy topics. WHAT YOU MAY WORK ON • Research companies, markets, business models, and investment themes., • Build target lists, market maps, competitive scans, and opportunity pipelines., • Analyze data, documents, websites, interviews, and public information to form concise recommendations., • Support strategy, sourcing, diligence, product, growth, finance, and operations projects.WHO THIS IS FOR This is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project-based.

MODEL RISK MANAGEMENT (MRM)The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Dallas, London, Birmingham, Warsaw, Hong Kong, Bangalore and Hyderabad. The MRM group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Firmwide Policy on Model Control and related standards, including documentation to evidence effective challenge over the Model development, implementation, and usage of Models.The group’s primary mandate is to manage risk that arises from models used in the firm through its range of businesses– from models used for derivatives valuation to models used for risk management, liquidity and capital computations. In addition to independently reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, e.g., exposure to choice of model in various contexts such as pricing exotic options or in calculating capital.Who We Look For Goldman Sachs is seeking a highly motivated AI Model Risk Vice President to join our Model Risk Management (MRM) team in New York. You will play a crucial role in validating the firm's AI models, ensuring their accuracy, reliability, and compliance with regulatory requirements. This is a unique opportunity to gain exposure to a wide range of AI applications within a leading global financial institution and contribute directly to the firm's risk management framework. You will work closely with AI researchers, AI model developers, and other stakeholders to understand model methodologies, assess model risks, and implement validation plans and benchmarking models. ResponsibilitiesIndependently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs, focusing on aspects such as accuracy, explainability, model design, and algorithmic robustness.Develop and implement validation methodologies and benchmark models tailored to the specific characteristics of AI models.Conduct thorough testing and analysis of model outputs, identifying and documenting potential risks and limitations.Collaborate with model developers and business stakeholders to address identified issues and improve model performance.Preferred QualificationsA Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field.Understanding of statistical modelling and machine learning algorithms5+ years of working experience in a quantitative field as a model developer or a data researcher. Preferable skillset: some experience in AI modelsProgramming expertise in Python, including experience with relevant data science libraries (e.g., NumPy, Pandas, TensorFlow, Pytorch).Excellent analytical, problem-solving, and communication skills.Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.ABOUT GOLDMAN SACHSAt Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.htmlPosting Date: 2025-12-09

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As Technical Manager, Software Platform Engineering, you will lead an engineering team within the Software Platform organization, which builds and operates the foundational services that power the firm's research and trading systems. The Software Platform organization owns the firm's HPC compute cluster, cloud environments, developer experience tooling, data platform, and operational data systems. The organization is growing, and we are looking for someone excited to be part of a platform team with a broad mandate. Your initial focus will be on developer experience the build systems, CI/CD infrastructure, developer tooling, and deployment automation that enable engineers to build, test, deploy, and maintain software across the company with the opportunity to expand into cloud platform services as the team evolves, including intelligent workload placement and routing, cloud resource optimization, cost governance, and operational reliability for research workloads. Your team will deliver highly reliable, performant platforms with high availability, strong observability, and consistent performance. You will improve engineering velocity and researcher productivity by reducing friction, standardizing workflows, and modernizing tooling. You will own the roadmap for your domain, grow and scale the team, and collaborate with peers across engineering, infrastructure, research, and security to balance competing priorities and make thoughtful tradeoffs. • Manage, grow, and hire for a team of platform and infrastructure engineers and mentor ICs to continuously raise the technical bar, • Be hands-on technically dig into code, debug systems, and work alongside the team to solve hard problems, • Own the roadmap for your domain, define ambitious goals, and reliably deliver against them, • Build and operate the systems that power the software development lifecycle build systems, CI/CD, developer tooling, deployment automation with high reliability, observability, and performance, • Improve engineering and researcher productivity by building well-designed platform abstractions, standardizing workflows, and reducing infrastructure friction, • Partner across infrastructure, security, research, and engineering to ensure seamless integration, • As the team grows, potentially expand scope into cloud platform services including workload routing, resource optimization, and cost governance, • Computer Science degree or equivalent practical experience, • 2+ years of engineering management experience, • 8+ years of professional software engineering experience, • Demonstrated experience managing and mentoring engineering teams, • Proven ability to attract, hire, and retain exceptional engineering talent, • Strong programming experience in Python, Go, C++, or similar, • Experience building or operating developer platforms, cloud infrastructure, or internal platform services ideally with exposure to both on-prem and cloud environments, • Experience operating critical systems with high reliability requirements, • Knowledge of best practices for scalable system design and operational excellence, • Ability to dive deep technically while maintaining a strategic view of platform architecture, • Strong communication and collaboration skills across engineering and research organizations, • Experience operating critical systems with high reliability and availability requirements, • Knowledge of best practices for scalable system design, reliability engineering, and operational excellence, • Strong communication skills and ability to drive alignment across stakeholders, • Experience with cloud infrastructure (AWS, GCP, or similar) alongside on-prem systems, • Experience with large monorepos, Bazel or similar build systems, • Experience improving developer productivity at scale, • Experience with CI/CD systems or internal platform engineering, • Experience optimizing cloud resource usage or managing cloud cost efficiency at scale, • Experience leading teams through cloud adoption or infrastructure modernization If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Vacancy detailQuantitative Researcher - LLMs$350,000-450,000 USDAdditional performance-based bonusesOnsite WORKINGLocation: New York, New York – United States Type: PermanentQuantitative Researcher – LLMs/AI (New York/London/Singapore)Anson McCade are working with a multi-strategy hedge fund based in New York who are hiring for a mid-frequency cross-asset team which is using novel Data Science methods. They are looking for a Quant with advanced experience in using LLMs or AI agents for alpha research, demonstrated through professional or academic experience.Requirements:Prior experience in the quantitative/financial industry is preferred.The candidate must be a hands-on user of LLMs/AI and other emerging data science technologies.2-5 years of experience, although more experienced profiles are also of interestProficiency in PythonReference: GHA/LLMQR/NP01#gehaApply for this vacancyYour CV will be sent to the selected department. At no time will your CV be sent outside of Anson McCade without your authorisation.Mandatory field.Your nameYour surnameYour email addressI confirm I currently have the right to take full time employment at the location for which I am submitting my CVPlease state the locations where you currently have the right to take full time employmentAttach a file (Word or PDF only accepted)MessagePrior to submission of this form, the user acknowledges and accepts Anson McCade's Terms and Conditions of Use + Privacy Policy + Data Protection Compliance Statement* I acknowledge and accept TrustpilotOur OfficesVacancy searchSearch all the vacancies on Anson McCade Select a Practice Area Quantitative Research, Trading & Risk Digital + Analytics Information Technology + Cyber Security Business Change and Transformation + Strategy IT / Software Sales Internal Positions at Anson McCade

New York, NY Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world. Renowned for revolutionizing digital content creation, Beast Industries encompasses a diverse portfolio of ventures that extend far beyond its origins on YouTube. With a mission to entertain, inspire, and create significant social impact, Beast Industries operates across various domains including digital media, philanthropy, consumer products, and innovative business initiatives. At Beast Industries, we believe in the transformative power of digital media and its potential to entertain, educate, and effect positive change. Our commitment to innovation, creativity, and philanthropy drives us to explore new frontiers, create unforgettable experiences, and build a legacy that inspires future generations. As the Product Solutions Specialist at MrBeast, you are the Builder and the Backbone of the Partner Solutions team. In this dual-function role, you serve as the right hand to the Director of Commercial Strategy & Go-To-Market, helping to visualize, package, and standardize our ad offerings for the market. At the same time, you provide critical logistical and execution support to the Integrations and Placement Lead, ensuring that once a deal is sold, the physical and operational reality matches what was promised. You sit directly between what we sell and how we deliver it, turning complex specs, trends, and deal terms into clean systems and flawless execution. This role is ideal for someone who loves structure, visuals, and systems and wants exposure to both commercial strategy and live campaign execution. • Translate complex digital ad specifications into clear, visually compelling guides and menus for sellers, • Create client-facing materials that outline what is possible, the limitations of each format, and the assets required, • Support the packaging of emerging trends by tracking new features across YouTube, TikTok, Instagram, and Snap, • Build and maintain a centralized library of sales decks, one-sheets, and case studies that are on-brand, current, and polished, • Act as the team researcher for new ad formats, quickly understanding how they work and supporting the Director of Commercial Strategy & Go-To-Market in packaging them for sellers, • Support the Integrations and Placement Lead with operational handoff once a product placement or integration deal is sold, • Assist with asset traffic control as workload permits by tracking product shipments, organizing talking points, and verifying that on-set assets match client must-haves, • Support contracting administration by ensuring deal paperwork is signed, stored correctly, and ready before execution begins, • Use generative AI tools to create visual mockups for sales decks and speed up administrative workflows, • Identify manual and repetitive tasks such as data entry or asset tagging and help build automation using Monday.com automations, Zapier, or scripts, • 2-4 years of experience in sales support, ad operations, or a related role at a social platform, publisher, or ad tech company, • Exceptionally detail oriented with a track record of catching errors in decks, specifications, and logistics before they impact execution, • Strong ability to translate technical production requirements into clear visuals and straightforward language that sales teams can confidently present to clients, • Strong understanding of digital ad specifications including aspect ratios, safe zones, and tracking fundamentals, • Portfolio demonstrating the ability to turn technical information into clean, client-facing one-sheets or slides, • Platform fluency across YouTube, TikTok, and Instagram, with a strong grasp of format differences from a technical perspective, • Comfort using AI and low-code or no-code tools to accelerate work and standardize processes, • Proficiency in Google Slides, Sheets, and Slack is required, • Familiarity with Monday.com preferred, • Familiarity with Boostr preferred, • Working knowledge of Google Analytics, Nielsen, Viewstats, and YouTube Data APIs Target total compensation ranges from $103,000 - $125,000, including a fixed annual salary of $80,000 - $100,000, a discretionary annual cash bonus, plus an employee equity grant, and comprehensive benefits. The Perks, Why Work On the MrBeast Team We are redefining what entertainment and storytelling look like at global scale. Every piece of content we publish reaches millions and influences culture in real time. This is your opportunity to lead the team that decides how those moments come to life across every screen. • Competitive Salary, • Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance, • Company contributions to employee Health Savings Accounts (HSA), • 401k Plan with Safe Harbor company-matching, • Flexible vacation policy and paid company holidays, • Company-provided technology package, • Relocation assistance where applicable, including travel and company-provided housing for the first 90 days

Traba is the AI operating layer for the industrial supply chain. We started in workforcetemp staffing, the biggest operational pain point for the manufacturing and logistics customers we serveand used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. We are backed by Founders Fund, Khosla Ventures, and General Catalyst. You'll build Traba's product on top of AI agentstaking frontier models and existing agents and putting them to work across our staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts. (Our AI Agents team builds the agent platform; you apply it everywhere it creates leverage.) This is a product-engineering role first, so you'll go where the priorities are: some weeks that's wiring up an agent that automates vetting or matching, others it's a payments flow or UI work. You'll join the founding team, partner with our CTO on the product roadmap, own product decisions, and help build our foundational tech platform. About You: • An applier, not a researcher. You take frontier models and existing agents and wire them into real product across the stackyou care about shipping reliable automation, not owning the orchestration internals. And you don't need every task to be an AI task: you take the highest-priority problem, model or not., • Voracious learner. You explore new languages and frameworks happily, and can talk product with a designer one minute and infrastructure with a tech lead the next., • Strong front-end chops. You have experience with (or a real desire to learn) React Native, and you love building performant apps users enjoy. You Will: • Apply existing agents and frontier models across the stackworker app, business app, ops platform, marketplaceto automate vetting, matching, and fulfillment., • Write and review high-quality code across our React Native app, React/TypeScript web apps, and Node.js/PostgreSQL APIs., • Architect core systemsfrom real-time matching to autonomous worker-vetting pipelines powered by ML and agents., • Partner with design to ship polished, intuitive UIs. You Have: • 1+ years with TypeScript, React/React Native, Node.js, and/or PostgreSQL., • Experience integrating LLMs or agents into real productprompting, tool wiringor a clear drive to learn., • Comfort in an early-stage team: ambiguity, self-direction, and fast iteration. Benefits: • Start-up equity, • Competitive salary, • 100% Paid health, dental & vision coverage, • Dinner provided via DoorDash, free DashPass & stocked kitchen for NY employees, • Commuter benefit, • Gympass Benefit, • Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health The compensation range for this position is set between $140,000 and $200,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don't sacrifice long-term value for short-term results. Olympian's Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries' problems

Working as a coder at Hudson River Trading (HRT) means working on a small, highly productive, and efficient team. You may see "trading" in our name and assume you'll be relegated to some dark corner to code for the "business," but that could not be further from the truth! At HRT, an automated trading firm based in NYC, the code you write is our business, so it is everyone's job to make sure our developers have everything they need to do their jobs well.As a member of the AI Tools team, you will be responsible for increasing productivity across the company by integrating the newest AI tools into our users’ workflows. Whether it’s for a Python developer writing a web app, a C++ developer speeding up order execution, a researcher investigating trade signals, or even Business Development meeting with vendors - we are focused on deploying what works.This is an exciting opportunity to help build and define the AI tooling ecosystem at HRT. You will have to navigate the rapidly evolving options in this space, and adapt them to our own internal systems. You might be fixing auth one day, comparing vendors the next, and coding a new MCP the third. ResponsibilitiesHelp us develop software that improves productivity for every office and department at HRT while using the latest technologies and techniques in software engineering and the broader AI tooling ecosystem.HRT has many high-impact areas where we are integrating AI tools; here’s what you could work on:Writing a custom MCP wrapper around internal resources.Fine-tuning a new code completion model.Deploying a new coding assistant across all developer and researcher environments.Developing evaluations and iterating on an autonomous coding agent.Collaborating with security to improve AI sandboxing.Presenting and educating users on best practices.ProfileYou’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs.Experience deploying and maintaining applications. You’ve managed an application from the design phase through the production phase.You’re comfortable with defining direction in an environment of ambiguity and uncertainty. The AI tooling space changes rapidly.You really like to work with people who challenge you and make you better at what you do.In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things AI and computer-related.QualificationsCompleted a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.Python experience is required, daily use of most recent standards preferred.C++ and JavaScript (TypeScript, React) experience a plus.Experience with the AI tooling ecosystem (use coding assistants/agentic workflows, ideally have built your own customizations).Superior design, debugging, and problem solving skills.Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication.The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.CultureHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

Heat pump and other HVAC failures cost billions in emergency repairs and wasted energy annually, and are managed by an increasingly short-handed labor pool. That's where we step in: Thalo is transforming the HVAC industry with next-generation sensing and AI-powered intelligence. Our AI-powered platform transforms static assets into self-monitoring, high-performance systems, empowering technicians to shift from reactive fixes to proactive service. Our team has built self-driving cars at Waymo, worked on satellite imagery at Google, designed systems for John Deere, developed space missions for NASA, led manufacturing design for Boom Supersonic jets, and built and scaled enterprise partnerships and growth engines across mobility, financial services, and technology, and more. We are united by our shared goal of making products that help us leverage the built environment to decarbonize today and accelerate drawdown globally. About the Role: As the Partnerships & Growth Manager, you'll report directly to our Head of Partnerships & Commercialization and help power the engine behind Thalo's commercial growth. You'll translate strategy into structured execution, driving pipeline clarity, strengthening outreach discipline, and ensuring every conference, lead conversation, and external engagement moves us closer to revenue. This is a high-ownership, high-visibility role that blends operational rigor with selective external engagement. You may be building segmented lead lists, refining CRM workflows, or developing commercial materials one day, and representing Thalo at a conference or supporting a product demo the next. If you're energized by building systems, creating forward motion, and turning brand presence into measurable opportunity, this role is for you. What we offer: • An immediate opportunity to make an impact fighting climate change with a mission-driven team., • An in-person, collaborative culture. In our midtown Manhattan office, we not only have a stocked pantry but we also dedicate time to connect with each other during weekly happy hours and quarterly offsites., • National subsidized healthcare plans for medical, dental, and vision insurance., • Additional benefits include a 401(k) program, 12 weeks paid parental leave, and paid time off., • Free, anonymous mental health and coaching appointments through Lyra., • At our ground-floor stage, our compensation structure places a strong emphasis on the value of high equity, with an annual base salary ranging from $95,000 - 125,000. What you'll do: • Drive pipeline clarity and disciplined execution. Build segmented lead lists, manage structured outreach plans, own CRM hygiene, and ensure leadership has clear visibility into opportunity tracking and deal velocity., • Identify and qualify new growth opportunities. Conduct structured market research across the HVAC ecosystem and adjacent markets to surface strategic partners, ecosystem channels, and high-quality inbound and outbound leads. Support early-stage conversations, introductory calls, and product demos., • Turn brand presence into measurable opportunity. Represent Thalo at conferences and business development events, project manage logistics and materials end-to-end, and ensure rigorous follow-up and conversion after every external engagement., • Develop high-quality commercial enablement assets. Create and maintain decks, case studies, one-pagers, proposals, newsletters, and website content to ensure consistent, clear messaging aligned with our go-to-market strategy., • Strengthen commercial insight and segmentation. Support competitive analysis, pricing research, and market segmentation efforts to refine positioning and inform partnership strategy. What you have: • 36 years experience in business development, consulting, commercial operations, revenue operations, or high-growth startup environments, • Highly organized with strong execution discipline, • Fast, structured researcher with strong analytical thinking, • Clear and confident written and verbal communicator, • Strong ownership mentality and accountability, • Comfortable operating in fast-paced, ambiguous environments, • Confident engaging both internally and externally Bonus points: • Early-stage startup experience, • Design skills and experience, • Exposure to HVAC, mechanical, electrical, or related field service industries, • MBA $95,000 - $125,000 a year Commitment to Diversity, Equity, and Inclusion: Thalo Labs is committed to diversity and building an equitable and inclusive environment for people of all backgrounds and experiences. We think that a diverse team is critical to Thalo's success. We especially encourage members of traditionally underrepresented communities to apply, including women, people of color, LGBTQ+ people, veterans, and people with disabilities.

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. Please note that this salary information is solely for candidates hire

We are seeking entrepreneurial and creative Principal Applied Researcher to lead groundbreaking research projects, taking these from research into product. Overview The Data and AI team in Microsoft's Developer Division is working on the future of AI for Developers! We are a diverse, entrepreneuria

Computer Science, Financial Engineering, Statistics, Applied Math, Physics) Strong foundation in statistics, ML, and AI, with proven real-world applications in finance Familiarity with AI tools for coding and innovation process * Excellent collaboration skills with quants, researchers, and engin

Job Summary** As an Associate Applied Researcher in the Quantitative Trading & Research (QTR) Team, you'll sit at the intersection of applied research and production engineering turning frontier GenAI capabilities into reliable, high-leverage agentic systems that transform how we respond to inbound

Responsibilities * As a Principal Researcher in the AI Frontiers lab, you will perform cutting-edge research in collaboration with other researchers, engineers, and product groups. The Role As a Principal Researcher - Agentic AI, you will play a crucial role in modeling agentic intelligence: devel

Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr.