Llm jobs in Bayonne, New Jersey - Page 8Create job alerts

Job Description Title: French AI Data Trainer - Remote Location: Remote Role Overview We are seeking a detail-oriented and analytically strong AI Safety Trust Evaluation Specialist to support the development of safer, more reliable AI systems. In this fully remote, hourly contractor role, you will evaluate AI-generated responses, assess reasoning quality, and provide expert safety-focused annotations in both French and English. Your work will directly contribute to improving the safety alignment of large language models by identifying risks, labeling sensitive content, and ensuring outputs comply with strict safety policies. This includes exposure to sensitive material, and requires strong emotional resilience and professional judgment. Key Responsibilities • Evaluate AI-generated content for accuracy, safety, and policy compliance, • Annotate and label safety-critical datasets in English and French with high linguistic precision, • Identify unsafe outputs related to:, • Hate and harassment, • Sexual content, • Violence and self-harm, • Bias and misinformation, • Illegal or harmful activities, • Malicious content or code, • Compare multiple AI responses and score them based on safety and quality rubrics, • Identify model failure patterns such as evasion, escalation, or unsafe normalization, • Conduct red-teaming and adversarial testing to uncover model vulnerabilities, • Document findings clearly, including reasoning behind safety judgments, • Support refinement of annotation guidelines and edge-case decision frameworks, • Ensure consistency in policy interpretation across evaluationsRequired Qualifications, • Bachelors degree or equivalent experience in Linguistics, Communications, Psychology, Law, Policy, Security Studies, or related field, • Native or near-native French proficiency (reading and writing), • Minimum C1 English proficiency (reading and writing), • Experience in Trust Safety, content moderation, policy enforcement, risk operations, or safety evaluation, • Proven LLM red teaming experience (ability to test model safety boundaries and document findings), • Strong analytical judgment and ability to work with ambiguous policy situations, • High attention to detail and ability to explain decisions clearly and consistently, • Comfortable working independently in a remote contractor setupPreferred Qualifications, • Prior experience in AI training data, annotation, or model evaluation, • Familiarity with tools such as ChatGPT, Gemini, Perplexity, or similar AI systems, • Experience working with structured safety taxonomies or labeling frameworks, • Background in investigative or policy-driven analytical roles

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the role The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time. Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP. We are hiring a Senior Principal AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership. Responsibilities • Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability., • Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows., • Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform., • Define and build the agentic substrate: eval frameworks, observability, guardrails, tool registries, prompt and policy versioning, PHI-safe logging, and simulation environments., • Own the model strategy across frontier models, fine-tunes, distilled specialists, and classic ML, and articulate it clearly to executive and clinical leadership., • Partner with Product, Clinical, and Data teams to identify high-leverage opportunities for AI across patient and operational experiences., • Establish best practices around AI reliability, safety, evaluation, and explainability in a regulated clinical environment., • Mentor engineers and data scientists across the organization and help foster a strong culture of technical excellence and responsible AI innovation.What you'll work with, • An executive team that has committed to an AI-native operating model and is funding it., • An AI Guild of senior engineers, data scientists, and clinical operators piloting AI across the company today., • A modern data foundation including Snowflake, dbt, pgvector, and an emerging Intelligence Layer that exposes patient and operational signals as first-class events., • Live workstreams in clinical documentation, referral-source conversion modeling, scheduling intelligence, and clinician productivity. We are looking for an engineer who finds those constraints clarifying rather than limiting. Requirements • 10+ years of software engineering experience, with several recent years focused on LLM- or ML-powered systems in production., • Hands-on experience designing and operating agentic systems, including tool use, planning, multi-agent orchestration, eval design, and failure-mode analysis., • Track record of owning a complex technical initiative end-to-end, including evaluation infrastructure, observability, on-call, and regulatory or compliance review., • Strong communication skills and comfort operating across registers, from executive strategy conversations to engineering code review., • Genuine interest in healthcare and in applying AI responsibly in a regulated, high-stakes domain., • BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent practical experience. Additional Information The total target base compensation for this role will be between $350,000 and $600,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionJob Title: Spanish AI Data Trainer Location: RemoteRole Overview This is a remote, hourly-paid contractor role focused on enhancing the safety, accuracy, and reasoning quality of advanced AI systems. You will review AI-generated content, evaluate step-by-step reasoning, and provide expert feedback to ensure outputs are logically sound, clearly explained, and aligned with safety policies. Working across Spanish and English, you will apply nuanced linguistic, cultural, and policy judgment. Your work will directly support leading AI organizations in improving the safety and alignment of large-scale language models. This role may involve exposure to sensitive material, including content that is sexual, violent, or psychologically disturbing. Key Responsibilities • Review and evaluate AI-generated responses for accuracy, clarity, reasoning quality, and safety compliance, • Identify logical, methodological, or conceptual errors in model outputs, • Compare and rate multiple responses based on correctness, safety alignment, and policy adherence, • Perform fact-checking and validation where required, • Conduct red-teaming and adversarial testing to identify vulnerabilities, edge cases, and unsafe behaviors, • Document decisions with clear, structured reasoning and reproducible evaluation paths, • Apply and localize safety policies consistently across Spanish and English, identifying slang, cultural nuance, and coded language, • Escalate ambiguous cases using defined policy frameworksRequired Qualifications, • Bachelors degree or higher in Linguistics, Communications, Psychology, Law, Policy, Security Studies, or a related field (or equivalent experience), • Native or near-native Spanish proficiency (reading and writing), • Minimum C1 English proficiency (reading and writing), • 5+ years of experience in Trust Safety, content moderation, policy operations, compliance, investigations, or related fields, • Proven LLM red-teaming / adversarial testing experience (required), • Strong ability to preserve meaning, intent, and severity across languages, • Excellent analytical writing and structured reasoning skills, • High attention to detail and consistency in applying safety policies, • Ability to work independently in a remote contractor environment, • Secure handling of sensitive and confidential informationPreferred Qualifications, • Experience in AI data annotation, model evaluation, or localization/translation, • Familiarity with tools such as ChatGPT, Gemini, Perplexity, or similar AI platforms, • Experience working with structured safety taxonomies or policy frameworks, • Background in investigative, editorial, or analytical roles

Job Description We’re building applied AI systems for high‑stakes, real‑world decisions. Our platform ingests and reasons over large, messy data to surface evidence with hard constraints around fairness, auditability, and low bias. The single gnarliest, most impact‑heavy place this problem shows up is in insurance claims, so that’s where we’re deployed today, running in production at some of the largest carriers in North America. We are seeking a visionary Principal Software Engineer to join our Engineering team. In this role, you will drive our technical strategy, tackle our most complex engineering challenges, and lead the integration of advanced AI models into highly scalable, production-grade features. We have engineering hubs in New York City and Toronto, and this role is 5 days per week onsite in one of those offices. We optimize for people who like to think deeply, whiteboard with other sharp engineers, and ship ambitious systems together in person. Join us at Owl.co and become an integral part of a forward-thinking team dedicated to transforming the insurance industry through technology. Your technical leadership will play a crucial role in shaping our product roadmap and delivering massive value to our clients. Key Responsibilities: * Own the end-to-end system architecture of our core platform, ensuring it is highly scalable, secure, and capable of processing large-scale unstructured data. * Spearhead the engineering effort to seamlessly integrate, scale, and maintain applied AI and machine learning models in a high-stakes production environment. * Partner with Product leadership and cross-functional teams to define the long-term technical roadmap and translate business goals into actionable engineering initiatives. * Act as a technical mentor and force multiplier for engineers across the organization, setting the gold standard for code quality, system design, and engineering best practices. * Take hands-on ownership of the most difficult technical challenges related to system latency, model inference constraints, and complex data pipelines. * Continuously evaluate and introduce new technologies, frameworks, and engineering practices to improve the speed and reliability of our technical stack. Ideal Profile: * Bachelor's or Master's degree in Computer Science or a related technical field. * 7+ years of experience in software development, with a proven track record operating at a Staff or Principal level within a product-driven organization. * Deep, hands-on experience designing, deploying, and scaling AI/Machine Learning systems or LLM-based applications in a production environment. * Experience with Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) techniques for LLMs and VMs. * Expert-level proficiency in programming languages such as Python, TypeScript or similar. * Exceptional problem-solving skills and the ability to navigate extreme technical ambiguity. * High-level communication skills and the ability to debate architecture with engineers while explaining technical trade-offs to executive leadership. * Extensive experience with cloud platforms such as AWS or Azure. * Deep knowledge of containerized microservices architecture and modern backend APIs. * Experience building software for highly regulated industries where auditability and bias mitigation are critical. * Experience AI coding agents such as Claude Code, Codex, Cursor to accelerate development workflows. Benefits: * Industry Leaders: Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team. * Market Leadership: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate, with renewals consistently doubling their previous terms. * Lean & Impact Driven Team: Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start. * Established Product-Market Fit: AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada. * Healthcare benefits: we cover 100% of the premiums for you and 70% for your family members (medical, dental & vision) * 401k matching to help you save for your future * Recharge: 4 weeks of paid time off & 5 additional personal/sick days * Daily team lunches * Bi-annual offsites: we'll make sure everyone at Owl has an opportunity to hang out with teammates IRL at least twice a year Salary Range: $220,000 - $300,000 USD Our salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects a range target for new hire salaries for the position and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.

Job DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES • Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters., • Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together., • High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company., • Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters., • Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work., • Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. The work is cross-functional by nature. It requires enough technical depth to have credible conversations about data pipelines, model behavior, and integration architecture, and enough operational grounding to work effectively with the teams responsible for deploying proprietary hardware into live retail environments. Responsibilities: • Platform & Integration, • Own the roadmap for the platform layer that sits between RADAR's proprietary sensing infrastructure and the retailer's existing technology stack, including APIs, event streaming, tag lifecycle management (commission through decommission), zone configuration, and system health observability, • Define the integration model for third-party hardware that supports program enablement: RFID printers, POS systems, and peripheral devices that feed or depend on RADAR's sensing data, • Ensure the platform is designed for sensing modality extensibility beyond RFID; as next-generation hardware introduces additional sensing inputs, the platform's data model and integration contracts need to accommodate them without requiring retailers to re-integrate, • Own retailer onboarding as a product problem: reduce time-to-go-live by improving self-serve configuration tooling, simplifying the integration surface, and reducing the custom engineering work required for each new deployment, • Define API standards and data contracts that downstream retailer systems (WMS, OMS, ERP, POS) can build against reliably, and manage versioning and deprecation in a way that doesn't break active integrations, • Drive platform reliability from a product perspective, defining uptime expectations, degraded-mode behavior, alerting standards, and the accountability model for incidents that affect live retail environments, • Shopper Experience & Conversion, • Own the roadmap for product capabilities that use RADAR's real-time inventory and sensing data to improve the in-store shopper experience, including self-checkout enablement, frictionless returns, fitting room workflows, and in-store shopper analytics, • Define the product layer that connects RADAR's sensing data to shopper-facing activation channels: POS integration, retailer mobile apps, clienteling tools, and retargeting infrastructure, • Drive the shopper analytics product, defining what behavioral signals RADAR's platform can surface (dwell, zone traffic, conversion patterns) and how retailers can act on them through existing CRM, marketing, and operations systems, • Own requirements for ML-driven detection features (motion classification, exit event detection, shopper behavior inference), including evaluation criteria, accuracy thresholds, edge case handling, and the retailer-facing data format, • Define success metrics that bridge the physical sensing layer to measurable shopper outcomes: conversion rate, return rate, shrink reduction, and experience-level KPIs that retailers can attribute to RADAR's capabilities, • Manage the tradeoff between ML inference quality, latency constraints, and the configuration flexibility retailers need to deploy these features across varied store formats, • Cross-Functional Partnership, • Partner daily with engineering on scope, sequencing, and technical tradeoffs; this role requires genuine technical fluency, not just facilitation, • Work with data science to translate ML model outputs into production-ready product features, including threshold calibration, explainability requirements, and edge case handling, • Coordinate with Customer Experience and Deployment Operations on retailer onboarding timelines, integration requirements, and escalated platform issues that have product implications, • Work with Store Planning on deployment sequencing, hardware installation constraints, and the downstream effects of physical infrastructure on software product timelines, • Collaborate with commercial teams to ensure roadmap sequencing supports active retailer commitments and near-term pipeline, • Produce clear written artifacts (specs, decision memos, tradeoff analyses) ABOUT YOURequired:, • 10+ years of overall professional experience, with 5+ years in a product management role, • Demonstrated ownership of a technical B2B product, with platform, API, or integration scope preferred, • Experience taking data-driven or ML-adjacent features from problem definition to production, including defining evaluation criteria and managing model feedback cycles, • Ability to evaluate technical tradeoffs and have substantive conversations with engineering about system design, data contracts, and infrastructure constraints, • Strong written communication; produces clear, self-contained specs and decision documents, • Track record of operating independently across multiple concurrent workstreamsPreferred:, • Experience in retail technology, supply chain, or domains where physical-world sensor data feeds digital systems, • Familiarity with RFID, IoT, or hardware-adjacent sensing platforms, • Experience working alongside hardware engineering teams on next-generation sensor or device products, contributing to product definition, requirements scoping, and roadmap coordination across firmware and physical hardware disciplines, • Prior work on integration or middleware products serving enterprise customers with heterogeneous tech stacks, • Experience defining product metrics in environments where attribution across physical and digital channels is complex, • Comfort operating in environments where software delivery depends on physical deployment timelines and field operations constraintsWHAT YOU'LL DOIn your first 30 days, you will:, • Build a working understanding of RADAR's platform architecture, active retailer programs, and the current state of initiatives across the domain, • Meet and establish working relationships with your primary counterparts across engineering, data science, Customer Experience, and Deployment Operations, • Orient yourself to the existing roadmap, open decisions, and known gaps without yet trying to change directionIn your first 60 days, you will:, • Have a clear point of view on the highest-leverage opportunities and gaps in the domain, with supporting rationale, • Be actively contributing to roadmap planning and sprint-level decisions alongside engineering, • Have identified the metrics and reporting gaps that limit the team's ability to track progress, and have a plan to address themIn your first 90 days, you will:, • Own a domain roadmap that is sequenced, defensible, and aligned with engineering capacity and retailer commitments, • Have at least one initiative meaningfully advanced as a result of your direct involvement Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Job DescriptionJob Title: Italian Data Trainer - Remote Location: RemoteRole Overview This is a remote, hourly-paid contractor role focused on improving the safety, reliability, and reasoning quality of advanced AI systems. You will evaluate AI-generated content, assess step-by-step reasoning, and provide structured expert feedback to ensure outputs are accurate, logical, and aligned with safety policies. You will work across Italian and English, applying nuanced linguistic, cultural, and policy judgment. Your evaluations will directly support leading AI research organizations in strengthening model safety, alignment, and robustness. This role may involve exposure to sensitive or disturbing content, including sexual, violent, or psychologically explicit material, as part of structured safety evaluation workflows. Key Responsibilities • Review and evaluate AI-generated responses for accuracy, clarity, reasoning quality, and safety compliance, • Identify logical, methodological, or conceptual errors in model outputs, • Compare and rate multiple AI responses based on correctness, safety alignment, and policy adherence, • Perform fact-checking and validation where required, • Conduct red-teaming and adversarial testing to identify vulnerabilities, edge cases, and unsafe behaviors, • Document findings with clear, structured reasoning and reproducible decision paths, • Apply safety policies consistently across Italian and English content, identifying slang, coded language, and cultural nuance, • Escalate ambiguous cases using defined policy frameworksRequired Qualifications, • Bachelors degree or higher in Linguistics, Communications, Psychology, Law, Policy, Security Studies, or a related field (or equivalent experience), • Native or near-native Italian proficiency (reading and writing), • Minimum C1 English proficiency (reading and writing), • Experience in Trust Safety, content moderation, policy enforcement, risk operations, compliance, or investigations, • Proven LLM red-teaming or adversarial testing experience (required), • Strong ability to analyze and localize content while preserving meaning, intent, and severity, • Excellent analytical writing and structured reasoning skills, • Strong attention to detail and consistency in applying safety guidelines, • Ability to work independently in a remote contractor environment, • Secure handling of sensitive content and strong professional disciplinePreferred Qualifications, • Experience in AI data annotation, model evaluation, or localization/translation, • Familiarity with AI tools such as ChatGPT, Gemini, Perplexity, or similar systems, • Background in structured safety frameworks or policy taxonomy systems, • Experience in investigative, editorial, or analytical roles

Job DescriptionSalary: 110,000- 140,000 Sr. Frontend Developer - Wellcom Home We are looking for an experienced front-end developer to work on our internal workflow enhancement and automation platform, Wellcom Home. This platform houses all of our tools built around traditional automation and ML / LLM software. The ideal candidate would have experience working closely with designers and large frontend codebases. We are looking for someone who is self-motivated and is able to work with a team early on in a project, plan and identify requirements, see a project through to completion, and mentor junior members of the team along the way. About thelab Were an agency of makers with deep expertise in solving creative and technology challenges. Our focus is on making better work to help brands work better. From branding & design, to software builds, large-scale ecommerce or anything in between, thelab mixes inspiration and hard work to produce results that mean business. Oh, and we host a mean barbecue too. We will be An awesome place for you to grow and learn. We stay open-minded about ideas and make sure our technology is always up-to-date, because we believe the best work gets made when we evolve our skills together. thelab is large enough to get an amazing variety of work, but small enough to stay flexible and work with smaller brands and startups toowe even have a few products of our own. Youll work on a lot of different kinds of projects, and youll do it with reasonable timelines, surrounded by an inclusive community who wants to see you succeed (no brogrammers, please!). And youll generally finish your day with plenty of time left over to meet your friends for a drinkor grab one with your new team. What our interview process looks like: • Well schedule an initial phone interview so we can get to know you, answer any questions you may have, and see if we might be a good fit for you and vice versa., • From there, wed want to bring you in for a second-round interview and would email you details about a general architectural problem beforehand., • At the second round interview, were looking to understand your thinking processnot your knowledge of algorithms. Thats why we wont be asking you to do whiteboard problems, but instead, well ask you to explain your high-level approach to the architectural problem we shared, articulating it to both an experienced and junior dev. You are • A team player who thrives in a collaborative environmentno lone wolf mentalities!, • Experienced in leading teams and mentoring people, • Not afraid to fail and always looking to learn from those failures, • Able to understand different approaches and comfortable learning/using both newer and older tech when its a better fit, • Able to develop web functionality in TypeScript and SASS, • Able to lead complex single page web applications with frontend frameworks, such as Angular/React/etc, and Node. Leader in architecture decisions like state management and server side rendering., • Able to work with APIs and have a high level understanding of how frontends and backends interact, • Comfortable developing shared components that leverage modern JavaScript design patterns, • Able to prototype solutions with design that can eventually scale to larger solutions, • Able to manage multiple projects and deliverables occurring concurrently during a sprint, • Experience in collaborating with a design team to create great user experiences including complex styling and animation, • Looking to work on a diverse team because you enjoy hearing different opinions and ideas Nice to haves (Not required) • Preference of command line interfaces over graphical, • Knowledge of running dev environments through Docker, • Experience working in open source community and contributing changes, • Keeping up to date with latest design tooling, such as Sketch and Avocode, • Experience in e-commerce, • Knowledge of server side rendering techniques in Node, • Python and Django experience, • Experience with large scale Angular applications, • Experience with large scale React applications This role is hybrid - requiring Tuesday-Thursday in our Madison Square office. Benefits include heath, dental/vision through Empire BCBS, 401k match, unlimited PTO and the best snacks in town.

Job Description Capgemini is at the forefront of Generative AI innovation, helping Financial Services clients industrialize GenAI and Agentic AI platforms at enterprise scale. We are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS‑ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments. In this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production‑grade, governed, multi‑agent systems. You will apply leading GenAI frameworks and LLM platforms — including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases—while operating across the full Agentic SDLC. P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role. We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers. Requirements Client Advisory & Product Vision • Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology., • Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human‑in‑the‑loop checkpoints, and escalation logic., • Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions., • Design and implement multi‑agent architectures using modern GenAI tooling, including:, • Planner, executor, reviewer/critic, and supervisor agents, • Tool‑calling and function‑calling agents, • Memory‑enabled agents (conversation, semantic, episodic, and structured memory), • Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow., • Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control., • Design agent interaction patterns such as hierarchical agents, collaborating agents, and event‑driven agent workflows., • Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:, • Agent design specifications and behavior contracts, • Prompt, policy, and tool versioning, • Simulation environments and offline evaluation, • Automated testing of agent flows and guardrails, • Controlled rollout, telemetry‑driven optimization, and continuous learning, • Build production‑grade AI services primarily using Python, integrating:, • LLM providers such as Anthropic (Claude), OpenAI, and open‑source models, • Retrieval‑Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate), • Implement CI/CD pipelines for agent code, prompts, and policies., • Implement agent observability including tracing, decision logging, tool usage, and failure analysis., • Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring., • Design feedback loops incorporating human‑in‑the‑loop review and reinforcement., • Design Agentic AI platforms aligned with Financial Services regulatory expectations, including:, • Auditability and traceability of agent decisions, • Model and prompt explainability, • Data privacy and security controls, • Resilience and fail‑safe mechanisms, • Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures., • Provide technical leadership and mentorship to consulting delivery teams., • Contribute to internal GenAI accelerators, agent frameworks, and reusable assets., • Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2025.

Job Description Who We Are: At Ordergroove, our mission is to transform commerce by putting relationships, not transactions, at the center. We help leading brands create seamless subscription and membership experiences that turn one-time shoppers into lifelong customers. Founded in 2010, we are a remote-first company whose platform powers the world's most loved recurring experiences for brands like L'Oréal, GNC, and PetSmart. Our team of curious builders and bold problem solvers is united by one belief: meaningful relationships drive lasting growth. Join us and help shape the future of relationship commerce. About the Role: We're seeking a Senior Product Manager to own and evolve a critical part of our Relationship Commerce platform, one that sits at the intersection of ecommerce infrastructure, subscription intelligence, and applied AI. This role is ideal for someone who loves to solve complex problems, leads through clarity, and is energized by building products that scale across hundreds of brands while still feeling deeply customer-centric. As a Senior PM at Ordergroove, you'll shape product strategy for your area, partner with engineering and design to ship ambitious AI-powered experiences, and ensure we're building durable, extensible solutions that help brands move from transactional commerce to long-term customer relationships. You'll partner deeply with Engineering, Design, Data, GTM, and Customer teams to translate complex merchant needs into elegant platform solutions, balancing short-term wins with long-term growth and scale. This is a hands-on role for someone who can zoom out to think strategically and zoom in to sharpen execution and raise the bar for product quality and impact. What You Will Do: • Drive the Merchant Growth Roadmap – Own a critical slice of the product area at the heart of Ordergroove's value, defining how merchants get started, see value, and grow. You'll lead initiatives across onboarding, incentives, cancellations, and daily workflows, pairing strong execution with clear strategic thinking., • Ship AI-Powered Experiences – Help bring AI to life across merchant and subscriber experiences, agents that automate workflows, intelligence that surfaces the right action at the right moment, and personalization that drives measurable retention and growth. Treat AI as a core capability, not a feature bolt-on., • Apply an Experience-First Lens – Bring a strong UI/UX sensibility to merchant-facing workflows, working closely with Design and Engineering to deliver best-in-class self-service. You'll advocate for intuitive, opinionated product design that turns satisfied merchants into raving fans., • Operate as a Visible Product Owner – Be the Product voice for your area with meaningful exposure to senior leadership. You'll earn trust across Product, Engineering, GTM, and Operations, and contribute to shaping strategy, prioritization, and how Product shows up across the company., • Contribute to Product Strategy & Direction – Help define and communicate a clear product vision for your area aligned to company goals and customer needs. Translate strategy into focused roadmaps that emphasize outcomes over output and provide clarity across teams., • Drive Cross-Functional Alignment – Partner closely with Engineering, Design, Data, Operations, and Go-To-Market teams to align on priorities, trade-offs, and execution, ensuring solutions drive adoption, retention, and revenue., • Champion Customer-Led Decision Making – Ground product decisions in deep customer understanding, leveraging direct merchant engagement, research, and data to balance merchant needs with end-consumer impact., • Required, • 5+ years of product management experience with proven success in SaaS, ecommerce, or subscription businesses., • Track record of delivering measurable impact at scale on complex product surfaces., • Curiosity about and exposure to AI or ML-powered product experiences — interest in shipping agents, intelligent automation, personalization, or applied LLM features in production., • Strong customer empathy with experience leveraging qualitative and quantitative insights., • Excellent partnership, communication, and influencing skills across technical and non-technical stakeholders and teams., • Proven experience driving product decisions tied to business outcomes such as revenue growth, retention, expansion, or operational efficiency., • Comfort operating in ambiguous, fast-growing environments, bringing clarity, structure, and momentum where none exists., • Background in metrics, experimentation frameworks, and data-informed prioritization., • Experience with Agile product development practices., • Preferred, • Experience in ecommerce or subscription-based D2C brands. About Ordergroove: Ordergroove powers recurring revenue for the world's largest and most innovative retailers including Ulta, Dollar Shave Club, La Colombe Coffee, Bonafide Health, BarkBox, and more. As a direct result, more than 11% of adult Americans have a subscription powered by Ordergroove. Our technology makes seamless, one-of-a-kind subscriber and membership experiences possible to turn one-time transactions into profitable recurring customer relationships. Ordergroove's powerful platform empowers merchants with highly customizable options such as flexible promotions, bundling, and analytics to bolster their bottom line while making customers' lives easier. We recently achieved a milestone year with 152% year over year new business growth, and were rated best-in-class subscription technology by CB Insights and eCommerce Platform of the Year by RetailTech Breakthrough Awards. Our company values celebrate collaboration, different perspectives, and curiosity with the goal of getting to the right answer, no matter who came up with it. At Ordergroove we are committed to creating a welcoming and supportive environment for all people. We encourage people with different backgrounds and experiences to join our growing team so that we gain different perspectives and build the best team possible. We demand the best of ourselves and each other and never miss an opportunity to celebrate our successes. With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind. We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs. We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings. At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have flexible PTO and a totally remote (anywhere in the US) workforce, and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits. Come join our amazing team while we enable the fastest-growing segment of commerce that makes life easier for millions of consumers every day! At Ordergroove, we want to hire, develop and retain the best talent, making Ordergroove a top destination to grow your career. The pay transparency law is a way of narrowing the gender pay gap and fostering an engaged and positive working environment. It is also a way to share what we think is a reasonable, equitable and competitive compensation structure for the roles on our team. The total compensation range (base + annual bonus) for this role is starting at $180,000 + equity.

Job DescriptionAbout Clarion At Clarion, we’re rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30–40% of patient calls, while staff are overwhelmed by administrative work. We believe AI agents should handle workflows like scheduling, billing, prescription refills, and follow-ups so healthcare teams can focus on patient care. We’re building the communication infrastructure modern healthcare needs. Our AI agents don’t just answer calls—they complete workflows end-to-end, ensuring patients never go unheard. To date, we’ve handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company. Clarion was founded by a Stanford/Harvard-trained physician (founding team at Two Chairs and Ophelia) and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. We’ve raised $10M from Accel, Y Combinator, Sequoia (Scout), and leading healthcare founders. We’re an in-person team in New York, moving fast to solve one of healthcare’s most critical problems. Why This Role Is Special * High-impact ownership: You’ll own meaningful features and systems used daily in real healthcare environments. * Strong signal, early traction: Dozens of paying customers and growing revenue, with room to shape core product decisions. * Learn from experienced builders: Work closely with founders and senior engineers operating at the intersection of healthcare, AI, and real-time systems. What You’ll Work On * Build and operate production full-stack features powering AI-driven healthcare communication. * Integrate with EHRs, legacy healthcare systems, and real-time voice infrastructure. * Collaborate closely with product, design, and senior engineers to turn customer needs into shipped software. * Debug and improve reliability, performance, and scalability across live systems. * Contribute to technical discussions, code reviews, and evolving engineering best practices. Interesting Technical Challenges * AI-powered workflows: Support and extend LLM-driven systems used in real-time healthcare interactions. * Real-time systems: Work on low-latency services that process live voice and patient data. * Healthcare integrations: Build resilient abstractions across fragmented, regulated systems while maintaining security and compliance. What We’re Looking For * 3–5 years of experience building and shipping production software. * Strong full-stack experience with Node.js, TypeScript, React, and PostgreSQL. * Comfort working in ambiguous environments and learning quickly. * A strong sense of ownership—you care about quality, reliability, and real-world impact. * Clear communication and a collaborative mindset. You’ll be a great fit if you enjoy shipping real software, learning from experienced teammates, and growing your technical judgment while working on meaningful problems. Interview Process We move quickly and communicate clearly at every stage: * Intro Chat (20–30 min, Virtual): Background, role context, and mutual fit. * Technical Interview (1 hr, Virtual): Practical system design and coding discussion with an engineer. * Onsite Team Day (Half Day, NYC): Collaborate on real problems, meet the team, and assess mutual fit. Decisions are typically made within 24 hours of each stage. Compensation Range: $150K - $200K

Job Description We are: NoGood is an award-winning, tech-enabled growth consultancy that has fueled the success of some of the most iconic brands. We are a team of growth leads, creatives, engineers and data scientists who help unlock rapid measurable growth for some of the world’s category-defining brands. We bring together the art and science of strategy, creative, content and growth expertise into a single cohesive team, powered by robust data analytics and proprietary AI tech. Based in NYC, we support partners globally, with a client partner roster that includes VC-backed startups, scale-ups, and Fortune 500 companies such as Nike, Oura, Spring Health, TikTok, Intuit, P&G, and more. Since 2016, we’ve been delivering what others only promise. Why settle for good enough if you can be up to NoGood? NoGood is looking for a Marketing Operations Manager to own the operational backbone of our agency, and to automate as much of it as possible. This role sits at the intersection of automation engineering, project management, and agency operations. You won’t just manage processes and timelines; you’ll actively design, build, and maintain the automation infrastructure that powers how the entire company operates: from time tracking compliance and ClickUp hygiene to multi-system workflows in Make and n8n that eliminate manual overhead across every team. You’re someone who sees a repetitive manual process and immediately starts mapping the trigger, conditions, and actions to automate it. You’re comfortable in webhook payloads and API docs, at home in no-code/low-code environments, and can write a script when the platform can’t handle the logic. You understand data flow across a SaaS tool stack and can debug a broken Make scenario as fast as you can build a new one. You’re equal parts automation builder and ops enforcer. The person who brings structure without slowing teams down, and eliminates toil without needing to be asked twice. We are: NoGood is an award-winning, tech-enabled growth consultancy that has fueled the success of some of the most iconic brands. We are a team of growth leads, creatives, engineers and data scientists who help unlock rapid measurable growth for some of the world’s category-defining brands. We bring together the art and science of strategy, creative, content and growth expertise into a single cohesive team, powered by robust data analytics and proprietary AI tech. Based in NYC, we support partners globally, with a client partner roster that includes VC-backed startups, scale-ups, and Fortune 500 companies such as Nike, Oura, Spring Health, TikTok, Intuit, P&G, and more. Since 2016, we’ve been delivering what others only promise. Why settle for good enough if you can be up to NoGood? We are looking for: We're looking for a technical Growth Operations Manager to join our Growth Systems & Engineering team. You'll own the automation infrastructure and operational workflows that keep NoGood running, building the integrations and pipelines that eliminate manual work, and then owning the processes that run on top of them. This isn't a pure builder role and it isn't a pure ops role. You'll split your time between building automations in n8n, maintaining the systems that connect our tool stack, and owning the operational layer those systems support, time tracking compliance, project hygiene, platform access, and internal SOPs. If you've built real automations, worked with APIs, and also have the operational instinct to know what needs to be systematized in the first place, this role is for you. You have: • 1–2+ years in marketing operations, agency operations, or growth/marketing operations — agency experience strongly preferred, • End-to-end automated workflows using n8n and native platform automations across a modern ops and marketing tool stack, • Webhook-based integrations and REST API connections between SaaS platforms, • Automated reporting pipelines that surface project health, time tracking gaps, and team utilization — no manual data pulls, • Lightweight Python or JavaScript scripts when no-code tools hit their limits, • Experience with cloud data warehouses or BI/reporting tools (e.g. BigQuery, Looker Studio), • Familiarity with Slack API or Google Workspace APIs, • Experience with Claude API, OpenAI API, or LLM-integrated automation patterns You will do: • Design, build, and maintain automated workflows using n8n and native platform automations, covering time tracking, project management, onboarding/offboarding, client reporting, and internal ops, • Own the full automation lifecycle: requirements gathering, flow design, build, testing, error handling, monitoring, and documentation, • Integrate disparate tools via APIs and webhooks into cohesive, maintainable automated workflows, • Build automated reporting and alerting pipelines that surface time tracking gaps, capacity overloads, project health signals, and utilization variance to leadership, without manual data pulls, • Identify and systematically eliminate manual operational tasks across every team, targeting reduction in manual ops overhead, • Write lightweight Python or JavaScript scripts when automation platforms require custom logic, data transformation, or API handling beyond what no-code supports, • Own project management workspace structure, task hygiene, and delivery timelines across all client engagements, • Enforce time tracking compliance across the team, including automated gap flagging and reporting, • Own platform security and access management. Onboarding/offboarding automations, SSO/2FA enforcement, and permission audits, • Build and maintain internal SOPs for project intake, status reporting, and delivery workflows so the team operates from a single playbook, • Support the rollout of AI-assisted internal workflows and agents as we roll them out across the agency Benefits & Perks Of Becoming a NoGoodie: • Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities, • Health First: Premium Medical, Dental & Vision Coverage, • Flex Work Environment: hybrid at HQ and remote globally, • Set Up Shop: Home Office Stipend, • Recharge Anytime: Unlimited PTO Plan, • Family First: Paid Parental Leave Plan, • Secure Your Future: 401(k) Plan with Employer Matching, • Level Up: Mentorship & Career Growth Support, • Always Be Learning: Access to Top-tier Resources & Industry Experts, • Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite), • Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans, • Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours, • Grow With Us: Endless Opportunities to Lead & Succeed, • Keep on Shining: Ongoing Employee Development Programs EEO & Compensation Transparency Statement: NoGood is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. NoGood complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $75,000 - $90,000. At NoGood, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, NoGood is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Job Description Are you a high-agency, ambitious person looking to work on groundbreaking projects? Do you want to be a major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the AI-for-legal landscape? Do you want to have ownership in a startup building something people want with significant traction? This is your chance to join a rocket ship! 🏗️ About the role We are looking for a smart, high-agency individual with frontend-leaning software engineering experience to lead our product growth efforts. You’ll operate at the intersection of engineering, product, and marketing. You’ll work across the full range of metrics, including product usage analysis, product engagement, user acquisition, pipeline optimization, and more. You’ll be responsible for: * Product usage analysis: Use dashboards (Posthog, Grafana, Datadog, etc.) to analyze usage behaviour and patterns, and then use that to (1) steer our top-of-funnel growth marketing and (2) drive engagement across our existing customer base. * Top-of-funnel optimization: Come up with novel ways to build top-of-funnel pipeline, and run creative experiments to build top-of-funnel (embed product features in SEO blog posts, track the performance of our paid ads, conferences, events, etc.). * Usage optimization: Develop workflows to flag unengaged users and experiment with strategies to drive more engagement. * Metric strategy: Work with us to define the key metrics we should be optimizing for. * Revenue & pipeline optimization: Help us optimize each step in our pipeline pre- and post-sale. 👋 Who you’ll work with Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he published 10+ publications and won awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech. Angus (Chief Technology Officer and co-founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London-based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of trades per day. You’ll also work with the rest of our super talented team of AI researchers, software engineers, patent attorneys, and go-to-market experts. 🛠️ What you bring As our Founding Growth Engineer, you will be a driven, ambitious, and high-agency individual looking to have a big impact on the trajectory of a fast-growing AI startup’s product and growth. You might be a technical ex-founder or software engineer looking for high autonomy and the opportunity to have a significant impact. Must haves: * Strong frontend-leaning engineering skills. * Strong product sense. * Interest in growth and the business side of things. Preferred haves: * Experience with product analytics tools (e.g. Posthog, Datadog, Grafana, etc.). * Experience with launching or growing products. 🎁 What we offer * Competitive base salary depending on skill and experience. * Equity; we want you to take ownership in Solve Intelligence and share in the success that lies ahead. * Full visa sponsorship. * Opportunity to work with a super smart and ambitious group of people building something people want. * Private medical insurance. * Free meals. Compensation Range: $100K - $250K

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., • 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). 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 the Team CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production. This is a high-leverage technical leadership role. You won't be operating tooling — you'll be designing and building the platforms other engineers depend on every day. The work you do will directly shape developer velocity, system reliability, and the agentic developer experience across a rapidly scaling engineering organization. What You'll Do • Set technical direction for key DevEx platform subsystems. Drive architectural decisions across CI pipeline infrastructure, test experience, artifact management, developer environments, and agentic tooling. Lead multi-quarter initiatives from design through production., • Design and build the core services that power developer productivity. Build pipeline services, test experience platforms, progressive rollout systems, artifact registries, ephemeral development environments, and the APIs that tie them together., • Architect and evolve our agentic developer platform. Elevate agentic DevEx capabilities so engineers can delegate development tasks and move faster in an AI-native way., • Build for real scale. DevEx systems must reliably serve thousands of application instances and engineering workflows across 40+ data centers with diverse infrastructure profiles., • Mentor Senior I and mid-level engineers, own design reviews, establish engineering patterns, and consistently raise the quality bar across the team., • Lead post-mortems and drive continuous improvement cycles that harden DevEx systems against failure modes and reduce operational burden for engineering teams.What We're Looking For, • 7+ years of software engineering experience with building production platforms, developer tooling, delivery infrastructure, or distributed storage systems., • Strong systems design skills. You think in distributed services, event-driven architectures, and APIs. You approach developer platform problems as software engineering problems, not configuration exercises., • Proficiency in Go, Python, or similar languages with production experience shipping services in cloud-native environments., • Deep experience with Kubernetes. You understand how workloads are packaged, scheduled, and managed at the cluster level, and can design platform services that integrate at that layer., • Experience with or strong technical interest in LLM-integrated developer tooling, such as agent frameworks, MCP-style tools, or AI-assisted developer workflows., • Proven track record of setting technical direction, making sound architectural trade-offs, and driving engineering decisions that hold up as systems and teams scale., • Effective cross-functional collaborator. You can align stakeholders, influence without authority, and translate complex technical trade-offs for technical and non-technical audiences alike., • Experience mentoring engineers and consistently raising the technical quality bar of the teams you work on.Nice to Have, • Experience building or extending CI and build infrastructure at scale, including GitHub Actions, Buildkite, Bazel, or similar build systems., • Experience designing and operating progressive delivery systems at scale, including SLO-based quality gates, automated multi-stage pipeline orchestration, and custom Kubernetes operators, across heterogeneous deployment environments., • Hands-on experience with artifact management, including distributed storage, caching, versioning, or multi-region artifact distribution (e.g. JFrog Artifactory, Cloudsmith, or custom-built systems). 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only 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: . 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 Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals. Our customers are our greatest asset. Syndio partners with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes. Join us in our mission to help companies make smarter pay decisions they can trust! About the role: We are seeking a talented Staff-level AI Developer to join our applied AI team. In this role, you will be responsible for designing, building, and scaling our AI systems that solve complex problems related to compensation and compliance. You'll work closely in a cross-functional squad that includes data scientists, software engineers, product managers, and business stakeholders. You will have the opportunity to work at the forefront of AI innovation–exploring emerging tools and techniques while translating them into production-ready solutions that deliver real business impact. Why this job is exciting: • Design, develop, and deploy production AI/ML systems that deliver business impact to our customers., • Build and maintain LLM-based applications leveraging context engineering techniques and toolsets., • Collaborate with data scientists to transition approved proof of concepts from a research environment into production., • Integrate AI capabilities into existing products and services through APIs and microservices., • Design and implement evaluation frameworks to assess model accuracy, reliability, and task-specific performance., • Monitor production performance and implement optimizations based on evaluation metrics and real-world usage patterns., • Proficiency developing clean modular and efficient code with Python, • Track record building and deploying AI systems within Google Cloud Platform, familiarity with BigQuery, Firebase, and Vertex AI, • Working knowledge of Google Gemini, OpenAI, and Anthropic APIs, • Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance, • Exposure to—or strong interest in—vector databases, semantic search, agent frameworks, and protocols like MCP for connecting AI systems to external tools and data sources, • Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot), • Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints, • Natural curiosity and passion for staying current with rapidly evolving AI technologies, • Ability to balance innovation with practical business requirements, • Adaptable when navigating ambiguity and rapidly shifting priorities We believe in starting simple, soon — progress over perfection. We value architectural clarity and execution speed. You'll be joining a small, ambitious team committed to high trust, low ego collaboration. It's a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration. Why you'll love it here: • 💰 Competitive Compensation. For this role our base salary is targeted at $205-244k CAD. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • 🏆 Syndio Equity. So you can share in Syndio's success., • 🏝 Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave., • 🩺 Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • 🏥 Life Insurance & Disability. Syndio covers the full premium., • 🏦 401(k). To help you save for your future Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. • 30 min - Phone call with a member of our Talent Team, • 75 min - Zoom interview with the Hiring Manager, • Skills Evaluation - Take-home Assignment, • 75 hr - Technical Interview with Team Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

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 Requirement: Hybrid in-office at our Sunnyvale, CA OR Bellevue locationsWhat You'll Do: • Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API, • Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks, • Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation, • Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi, • Implement APIs and microservices that enable modular and event-driven application architectures, • Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation, • Ensure robust observability, maintainability, and security across the application stack, • Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java, specifically for delivering production-grade cloud services., • Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC) and frontend technologies (e.g., React, Next), including the development of scalable backend services in Node.js and Go., • AI/LLM Experience: Solid familiarity with Generative AI frameworks (LangChain, LangGraph, ChatGPT API, or Glean API) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them., • Architecture: Solid experience designing and implementing RESTful APIs, microservices, and event-driven integration architectures., • Cloud & DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles., • Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.Preferred:, • Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse)., • Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark)., • Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots., • You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes., • You're curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only 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: . 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 DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityThe vision for this opportunity is to create an intelligent system that operates in an experimental material science setting. Your core responsibility will be to lead the development of an agentic system for materials development, enhancing reasoning and planning throughout the development process, encompassing data acquisition, model evaluation, pre- and post-training, supervised fine-tuning, reward modeling, and reinforcement learning to drive overall performance of the system. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Drive the development of a system that can pursue complex, multi-objective goals in materials design with limited direct supervision, leveraging agents and multi-agents that can interact with third-party and in-house integrations, including APIs, code interpreters, and hardware components., • Leverage various LLM architectures and models to balance reasoning and continuous adaptation towards intelligent decision-making., • Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of models in various stages., • Work in collaboration with various teams, in particular the experimental materials science team., • Develop and apply reliable evaluation methods to analyze model performance at different stages, uncover the mechanisms and origins of their capabilities, and leverage these insights to enhance model development., • Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops., • The ability to tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on LLMs., • At least 3 years of research experience in AI, with a proven track record of designing agentic systems., • Familiarity with large-scale model training., • Proficiency in Python and relevant ML libraries (e.g., PyTorch)., • Strong publication record in top-tier AI/ML conferences or journals., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • Domain knowledge of materials and/or molecules., • Familiarity with large-scale model training., • Experience with LLM engineering., • Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Company Description Coranet Corp is a leading national provider of IT Infrastructure, Audiovisual, Security, and Building Technology Solutions for Construction Firms, Developers, Fortune 500, and Government Institutions. We partner with the top technology brands to design, build, and install comprehensive technology solutions for our clients' real estate assets. Coranet has repeatedly appeared in Inc. 5000's list of the Fastest Growing Private Businesses and helps companies of all sizes transition into the digital age, leveraging IT to make their buildings and assets "smart." At Coranet Corp, we're driven by a passion for innovation and a commitment to excellence. We foster a culture of creativity and collaboration, where every team member is empowered to contribute to our dynamic growth and the development of groundbreaking technology solutions. Role Description: Sales Development Representative We're seeking a motivated Sales Development Representative in the Tri-State area. This full-time role will blend core sales development responsibilities (cold calling, emailing, prospecting) with forward-thinking initiatives around automated sales sequences, AI/LLMs (Large Language Models), and other advanced sales tools. You'll work closely with Account Executives, Sales Managers, and senior leaders to drive new business development, refine outreach strategies, and push the boundaries of modern sales and marketing technologies. Successful candidates will develop key relationships with prospects, source and qualify opportunities for engineering and account executives to close. Successful SDRs will be promoted up the ranks to Account Executives, managing their own pipelines and networks. The candidate should be comfortable targeting new customers, developing a pipeline, qualifying leads, and working closely with our core sales team. You will have the opportunity to learn and work directly with our general manager and senior team. The ideal candidate will be based in the target market and expected to meet with prospects in person weekly, setting up site walks, lunch-and-learns, and other networking opportunities with developers, general contractors, and enterprise clients. Furthermore, the ideal candidate would have the knowledge and responsibility to craft outreach strategies, design drip campaigns, and advise senior management on innovative ways to capture new prospects. They would also be responsible for implementing these campaigns and ensuring traction via cold calling, prospecting, and top-of-the-funnel outreach. Products represented include Network Infrastructure (Copper, Fiber), Audio-Visual solutions, Network Security, Physical Security (Security Camera / Biometric Scanners), commercial DAS, and wireless solutions. Customers focus on Developers, General Contractors, Enterprise CIOs, National Corporations, Manufacturers, and more. Key Responsibilities * Sales Development and Prospecting: * Conduct cold calling, targeted emailing, and LinkedIn outreach to identify prospective clients in construction, real estate, enterprise, and related verticals. * Qualify incoming leads and coordinate with the sales team to move these opportunities down the funnel. * Collaborate with senior sales to refine messaging and prospecting approaches for a range of products (Network Infrastructure, Audio-Visual, Security Solutions, DAS, Wireless). * Manage a pipeline of opportunities and prospects from start to close. Feeding the sales team with quotable, qualified deals each month. * Market Research & Strategy: * Research potential target industries, competitors, and prospective leads to inform outreach strategy. * Work with senior management to develop insightful prospecting lists and optimize lead generation tactics. * Assist with analyzing metrics around open rates, response rates, call outcomes, and meeting conversions to iterate on campaign performance. • Develop automated sales and marketing workflows to push Coranet's outbound content In-Person Event Engagement: * Attend and support local networking events to connect with real estate developers, general contractors, executives, and other potential customers. • Set up and attend weekly in-person meetings, lunches, etc., with potential prospects in New York City, New Jersey, and the surrounding area, • Walk client sites and build outs to understand customer needs and our opportunity. Automated Sequences & AI Implementation: * Help build and optimize automated outreach and drip campaigns, leveraging CRMs and advanced tools like LLMs (e.g., ChatGPT) for email writing, lead routing, and follow-up workflows. * Evaluate and recommend emerging AI-driven solutions to improve the sales cycle, from pipeline management to lead scoring. * Collaboration & Reporting: * Maintain accurate records in our CRM system (e.g., outreach activities, call notes, pipeline status). * Assist in creating regular reports on lead generation progress, pipeline development, and AI/LLM tool adoption. Qualifications * Past or current enrollment in (or recent graduate of) a Bachelor's or Master's program, ideally in Sales, Business, Marketing, Computer Science, or a related field, but all fields are welcome. * Familiarity with sales and marketing prospecting software, CRMs (e.g., Outreach), and/or marketing automation tools. * Interest or experience in AI, natural language processing, or LLM-based tools is strongly preferred. * Comfortable cold calling and sending high-volume outreach messages * Able to craft compelling emails, automated scripts, and workflows. * Strong organization and time-management skills, with the ability to work autonomously. * Willingness to travel up to 25% (depending on events and team needs) and attend in-person networking opportunities. Why Join Coranet * Opportunity to work at the intersection of technology, sales, and AI innovation. * Hands-on mentorship from senior and junior sales team members, with exposure to strategic decision-making and the ability to learn leading sales systems and tools. * A dynamic environment that encourages new ideas and creativity, where your contributions will directly impact the growth of our organization. * Potential for professional growth and a future career path in sales, marketing, or technology. * Flexible work environment with a mix of remote and on-site responsibilities.

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $10M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Build and ship: Write production code—building integrations, configuring AI agents, and implementing platform logic based on customer workflows and scheduling rules. * Own implementations end-to-end: Create and manage technical project plans from scoping through go-live. Coordinate internal resources, delegate workstreams, and drive timelines to completion. * Engineer our moat: Our competitive advantage is our ability to stay in the weeds with customers until the technology works. You will architect the high-leverage systems and playbooks that transform these complex implementations into a repeatable, scalable infrastructure. * Be the technical face to customers: Serve as primary POC for customer technical teams—leading discovery sessions, unblocking integration issues, and building trusted advisor relationships. * Optimize AI agents in production: Monitor agent performance at scale, diagnose failure modes, and iteratively refine behavior to improve accuracy, reliability, and patient experience over time. * Grow accounts: Drive expansion post-launch by deploying new features, identifying upsell opportunities, and proactively solving emerging pain points. * Shape the product: Translate field observations and customer feedback into actionable requirements that inform the product roadmap. Requirements * Technical foundation: 3+ years of engineering experience shipping production systems while working directly with customers. This is a hands-on coding role, not purely project management. * Project leadership: Track record of managing complex, multi-workstream technical projects and coordinating cross-functional resources to deliver on time. * Customer-facing presence: Experience as a primary technical POC—comfortable leading architecture discussions and building relationships with technical stakeholders. * Product intuition: Ability to synthesize customer needs into insights that bridge field reality and engineering priorities. Interesting Technical Challenges * AI agent tuning at scale: Configure voice agents for medical terminology and complex scheduling logic, then continuously refine as real-world edge cases emerge in production. * Workflow orchestration: Map and automate multi-step processes—scheduling, insurance verification, prescriptions, documentation—across diverse customer environments. * Personalization that scales: Deploy agents that adapt to each organization's unique protocols and terminology without requiring bespoke rebuilds for every customer. * Debugging AI in the wild: Diagnose agent failures across integrations and LLM behavior, then implement fixes that generalize across deployments. * Shape the product from the field: As the closest touchpoint to customers, identify patterns across deployments and translate insights into product requirements that drive the roadmap. What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15 min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Applied Coding Exercise (1 hr) [Virtual]: Hands-on challenge for building and optimizing AI agents in healthcare. * Experience & Culture (30 min) [Virtual]: Deep dive into work style, culture fit, and previous experience. * Onsite (Half-day) [In-Person]: Visit our New York office to meet the team, explore our platform, and solve technical problems collaboratively. If you’re ready to be the customer champion that transforms healthcare communication, we’d love to hear from you. Compensation Range: $150K - $200K

Canoe Intelligence is seeking a Senior Machine Learning Engineer to design and deploy cutting-edge models for analyzing complex financial documents.Responsibilities include developing and optimizing ML services and collaborating with various teams.Ideal candidates will have over 5 years of effective

Job Description At Trunk Tools, we’re the leading AI company revolutionizing construction, the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite. Our mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes, we’re changing that by embedding AI directly into field operations. Founded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry’s unique challenges. After years of building the “brain” of construction, we’re now launching production-ready AI agents, starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 65+ employees (25+ engineers), we’re scaling fast and entering a period of hypergrowth. This is a rare opportunity to join at an inflection point. What you will do and achieve: * Enhance our search capabilities through advanced NLP techniques * Process and analyze a diverse set of documents including text, tables and images * Design and implement entity extraction and text classification systems * Identify and model relationships between entities within and across different document types * Design and implement an efficient indexing structure to enable accurate and fast search capabilities * Design and conduct experiments to evaluate and improve NLP model performance * Develop and maintain language models tailored to the construction industry domain Who you are: * MS/PhD in Computer Science, Computational Linguistics, Information Retrieval or a related field * 2+ years of experience in NLP, with a focus on building production-ready systems * Proficiency in Python, ML and experience with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers * Strong experience with information retrieval and search technologies, such as elasticsearch, graph databases, or vector embeddings * Familiarity with LLM-based applications and RAG systems in real-world scenarios * Interest in the construction industry * Bonus: Experience with training or fine-tuning proprietary algorithms * Bonus: Experience with developing complex agentic LLM applications What we offer 🎖️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters 💰 Competitive salary and stock option equity packages 🏥 4 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance! 🤓 Learning & Growth stipend 🏠 Flexible long-term work options (remote and hybrid) 🥨 Free lunch provided in the office in NYC & Austin - you’ll never go hungry with us! 🛫 Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation 🏝 IRL / In-Person retreats throughout the year Please note: All official communication from Trunk Tools will come from an email address ending in @trunk.tools. If you receive outreach from any other domain, please disregard it or report it to us. At Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class. Compensation Range: $185K - $245K

Job DescriptionDirect Counsel is seeking a Real Estate Attorney (Counsel) to join a highly respected Am Law firm. Location: Los Angeles, CA or New York, NY Position Type: Senior Associate / Counsel Experience Level: 8+ years Direct Counsel is partnering with a leading Am Law 100 firm to identify a senior-level real estate attorney for its Los Angeles or New York office. This role offers the opportunity to take ownership of sophisticated, large-scale transactions within a Chambers-ranked real estate practice. About the Practice: The firm’s real estate group advises a broad range of clients—including private equity fund managers, family offices, and Fortune 50–500 companies—on complex transactions across asset classes such as multifamily, industrial, office, retail, data centers/digital infrastructure, and sustainable energy projects. Key Responsibilities: • Independently lead and manage commercial real estate transactions, including:, • Acquisitions and dispositions, • Joint ventures, • Financing transactions, • Leasing matters, • Oversee the full lifecycle of transactions from structuring through closing, • Review and negotiate loan documents, purchase agreements, and leases, • Provide strategic counsel to sophisticated clients, investors, and developers, • 8+ years of commercial real estate experience, • Strong experience representing owners, investors, developers, lenders, landlords, and tenants, • Proven ability to independently run complex transactions, • Excellent written and verbal communication skills, • Strong organizational skills and attention to detail, • JD or LLM from an ABA-accredited law school, • Base salary range: $300,000 – $420,000, • Bonus eligible with comprehensive benefits package

Job Description About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities • Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors., • Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability., • Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components., • Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions., • Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence., • Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior., • 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows., • Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short., • Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD., • Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & Pedagogy, • Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions., • Ability to reason holistically across AI behavior, content structure, platform features, and user experience., • Familiarity with learning science or a desire to develop expertise.Character & Collaboration, • Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions., • Preference for elegance and simplicity in system design. Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team: • Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding., • Competitive compensation: We offer a competitive salary with attractive benefits., • Flexibility: Benefit from flexible working hours because the future is flexible!, • Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth., • Global retreats: Participate in international company retreats, fostering a global team spirit., • Equipment: Yearly refreshment of your IT Equipment budget for your home working setup., • Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!

Job DescriptionHealth Law PBM Associate Attorney or Special Counsel (Off-Track) Locations: Boston, New York, Washington, DC Direct Counsel is seeking a Health Law PBM Associate or Special Counsel to join a national Am Law 100–caliber firm with a premier Health Law Practice. This is an off-track (non-partnership) position and is ideal for attorneys with strong commercial contracting experience in the managed care and pharmaceutical supply chain/PBM space. About the Health Law Practice The Health Law Practice provides comprehensive guidance to a diverse array of clients, including providers, payors, PBMs, manufacturers, distributors, and other pharmaceutical supply chain participants. The team advises on complex litigation, transactions, operational issues, and regulatory matters, leveraging a cross-disciplinary approach to help clients navigate challenges and pursue business opportunities. Responsibilities The Associate or Special Counsel will support a national team advising health plans in their contracting relationships with pharmacy benefit managers (PBMs) and other pharmaceutical supply chain vendors. Core responsibilities include: * Drafting, reviewing, and negotiating PBM contracts and related commercial agreements (e.g., rebate agreements, pharmacy network contracts, vendor arrangements). * Leading and supporting the full contracting lifecycle for PBM procurements, including coordination with clients and in-person negotiations (occasional travel required). * Counseling clients on operational, regulatory, transactional, and contract administration matters affecting health plan operations. * Managing multiple contract workflows and collaborating with partners, clients, co-counsel, and opposing counsel. * Handling disputes arising under PBM and health plan contracts. This role requires the ability to work autonomously on day-to-day contract drafting and negotiations while maintaining close communication with team members. This position requires approximately 60% in-office presence in accordance with firm guidelines. Qualifications * JD or LLM from an ABA-accredited law school. * Admission to or eligibility for admission in MA, NY, or DC. * Minimum of 3+ years of transactional or commercial contracting experience in the managed care, PBM, or pharmaceutical supply chain industries. * Strong knowledge of federal and state regulations governing health plans, PBMs, and related entities preferred. * Excellent written and verbal communication skills. * Strong organizational skills and meticulous attention to detail. * Ability to manage competing priorities and work effectively in a team environment. * Experience with PBM operations, managed care contracting, or in-house PBM roles encouraged to apply. Compensation * Salary Range: $200,000 – $345,000 * Bonus-eligible * Comprehensive benefits package offered

Job Description About Us Daat Lab is an AI venture studio that collaborates directly with businesses to transform deep domain expertise into valuable, commercial-grade AI products. We assist companies in identifying and validating high-impact, AI-feasible use cases. Our process spans from initial ideation and building a proof of concept to developing a fully commercializable product and successfully launching it in the market. We maintain an active presence across multiple sectors, including real estate, digital marketing/e-commerce, and health, with an ambitious goal of adding one new product to our portfolio every month. About the Role We are looking for a software engineer to help take concepts from ideas to product. You will work directly with our strategy team and business partners to identify high-value, AI-feasible opportunities, shape product direction, and execute quickly. You’ll own the full product cycle including: discovery, prototyping, building, shipping, and iteration, often across multiple projects at once. This is a hands-on role for someone who thrives in ambiguity, moves fast, and likes being close to customers. What You’ll Do: • Own multiple projects from end to end: brainstorming product concepts, generating POCs to be evaluated and owning builds to reach a minimum viable product., • Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring)., • Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring, classification), plus LLM/agent workflows and evaluation loops, • Establish engineering standards: code quality, CI/CD hygiene, logging/analytics, basic security, • You should have:, • 3+ years shipping full-stack products end-to-end, • Strong Python and modern web stack (React/Next.js + APIs + DB + deployments), • Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model evaluation), • Experience experimenting with LLMs and Agent frameworks (Open AI SDK, Google ADK, Langchain/Langraph, MCP), • Comfort with ambiguity, fast cycles, and customer-facing iteration, • What Success Looks Like:, • Ship multiple POCs that clearly validate feasibility and ROI, • Salary: $110 - 140k (full-time hire, will start as a 1099 contractor) Please note: Daat Lab is a separate entity, unrelated to Alchemy Worx.

Job Description We are seeking an AI Research Engineer to build AI-driven systems that accelerate alpha discovery for a systematic quantitative hedge fund. This role focuses on leveraging advanced AI coding tools (e.g., Claude Code and other LLM-based agents) to design automated research workflows that generate new data variables, predictive signals, and systematic trading strategies. You will operate at the intersection of quantitative research, machine learning, and AI-augmented development — building scalable systems that materially increase research velocity and idea quality. Responsibilities • Design AI-assisted research pipelines for data ingestion, feature engineering, alpha generation, and backtesting., • Build agentic workflows that autonomously explore datasets and propose candidate signals., • Rapidly prototype and evaluate systematic strategies with robust validation frameworks., • Improve research efficiency by integrating AI coding agents into the quant workflow., • Partner with researchers and PMs to transition validated alphas into production-ready implementations. Requirements • Strong programming skills in Python and experience building research infrastructure., • Deep understanding of statistics, machine learning, and backtesting methodology., • Hands-on experience using AI coding tools (e.g., Claude Code, GPT-based agents) in a development workflow., • Experience in quantitative research, systematic trading, or alpha development preferred. Benefits • Competitive salary plus bonus based on individual and company performance., • Collaborative, Casual, and friendly work environment., • PPO Health, dental and vision insurance premiums fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $175,000 to $200,000 and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description At Zarego, we are on the lookout for a Full Stack Software Engineer (Mid to Senior level) to join our growing team. If you are passionate about architecting modern web solutions and thrive when solving complex technical puzzles, we want to meet you! What we're looking for: • 4+ years of professional experience engineering robust web applications., • Expertise in Node.js for crafting scalable backend services and APIs., • Proficiency in React and Next.js to build high-performance frontend interfaces., • AI Implementation: Practical experience deploying AI-powered features, including LLM integrations and building smart application logic., • Collaborative Spirit: Excellent interpersonal skills with a proven ability to contribute to high-performing, cross-functional teams., • Startup mindset: Essential experience navigating the fast-paced, evolving environment of a startup., • Language: Advanced English proficiency (C1 - C2)., • Python: Interest or experience with Python is highly valued., • Academic Background: Degree in Computer Science, Software Engineering, or a relevant technical field. Ready to take the next step in your career? Apply now and let's build something amazing together!

Job DescriptionRole Description We're looking for a talented and ambitious machine learning engineer with 5+ years of experience building production AI systems who's excited to tackle one of the toughest challenges in healthcare: automatically resolving claim denials. You'll be the technical lead for their agentic AI platform that autonomously researches, understands, and resolves insurance claim denials, helping healthcare practices recover millions in lost revenue. Insurance claim denials cost healthcare practices $125 billion annually, and resolving them requires deep expertise in medical billing, payer rules, and claim documentation. Today, billing managers spend hours manually researching each denial, gathering supporting documentation, and crafting appeals. We're building an agentic AI system that automates this entire workflow - from denial classification and root cause analysis, to evidence gathering and appeal letter generation. As a machine learning engineer, you'll architect and build the intelligent agents that power this system. You'll design multi-agent workflows that collaborate to interpret complex denial reasons, retrieve relevant clinical and billing information through RAG systems, reason about payer policies, and generate compelling appeals. This is a greenfield opportunity to build a production agentic system that will directly impact the financial health of healthcare practices. you can You should be comfortable (and excited!) about working in a fast-paced, early-stage startup environment where you can wear many hats and take on new challenges as they arise. This is a great opportunity for someone who wants to work on a highly challenging project at the intersection of AI and healthcare. THIS ROLE IS FULL-TIME. We're looking for candidates based in NYC. NO RELOCATION What you'll do • Design and build the architecture for our agentic AI system that autonomously resolves insurance claim denials, • Develop specialized AI agents for denial classification, root cause analysis, evidence retrieval, policy reasoning, and appeal generation, • Implement multi-agent orchestration frameworks that coordinate complex workflows across research, decision-making, and document generation, • Build and optimize RAG systems to retrieve relevant clinical documentation, billing records, and payer policy information, • Create evaluation frameworks and feedback loops to continuously improve agent performance and reliability, • Design prompt engineering strategies and fine-tuning approaches to optimize LLM behavior for healthcare billing workflows, • Work closely with billing managers to understand denial resolution workflows and translate them into agent behaviors, • Collaborate with the engineering team on production infrastructure for deploying and monitoring AI agents at scale, • Actively contribute to building the team's AI/ML vision and technical roadmap, • Collaborate on code reviews and technical design documents to ensure code quality and distribute knowledgeWe’d love to hear from you if…, • You’re passionate about Healthcare AI/ML – you want to solve real, pressing problems for providers and put them in control of their businesses. You naturally empathize with users and enjoy designing solutions with their needs in mind., • You’re excited to shape the future of our engineering team and lead by example – as an early team member, you’ll have the chance to influence everything from our technical roadmap to our company culture. You have a radical sense of ownership with the ability and desire to own technical roadmaps and refine ambiguous problems. You also have a low ego, a growth mindset, and a desire to see the product and team scale with your impact., • You have a love for your craft and strong technical execution - You view coding as a craft, not just a task, and you're excited about using technology to create meaningful impact. Your technical skills go beyond coding; you care about building a product that works at scale, with the user at the forefront. Must have 5+ years of experience in machine learning engineering, with a focus on building production AI systems and deploying models at scale. Strong experience with machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience working with healthcare data or understanding of medical billing workflows is a plus Must be Proficiency in: • Python and modern ML frameworks (PyTorch, TensorFlow, or JAX), • LLM technologies, including prompt engineering, fine-tuning, and RAG systems, • Vector databases and semantic search systems, • Building reliable, production-grade AI systems with proper evaluation and monitoring, • MLOps practices, including model versioning, A/B testing, and performance tracking Joining a meaningful team means the opportunity to make a direct, meaningful impact on clinicians' lives and the financial health of their practices. Here’s what you can expect from working with us: Meaningful Impact You’ll be tackling one of the most complex challenges in healthcare, helping practices thrive in a chaotic financial landscape. Your work will directly help solve one of the most hair-on-fire problems for providers, ensuring they can focus on what they do best: caring for patients. Autonomy & Ownership As an early team member, you’ll have significant autonomy and the chance to shape our company from the ground up. You’ll have ownership over your work and the freedom to challenge the status quo in an environment that values initiative and creativity. Growth & Learning We’re a small, ambitious team with big goals, which means you’ll be constantly learning and growing. You’ll take on new challenges, expand your skill set, and have direct access to experienced founders and advisors who are invested in your development. We also offer stipends for professional development courses & books (which we often take together!) so we can all continue to grow.

Job DescriptionAssociate Attorney (Real Estate) – New York Direct Counsel is seeking an Associate Attorney to join a nationally recognized law firm in its New York office. This opportunity is well suited for an attorney with experience handling sophisticated commercial real estate transactions who is looking to join a collaborative, national real estate practice. About the Practice The firm’s real estate practice represents domestic and international clients in complex, large-scale real estate transactions, including acquisitions, dispositions, joint ventures, development, financing, and leasing. Clients include real estate companies, private equity fund managers, family offices, and institutional owners, investors, operators, and developers across a broad range of asset classes such as multifamily, industrial, office, retail, sustainable energy, data centers/digital infrastructure, and other commercial projects nationwide. Responsibilities * Support commercial real estate acquisition, disposition, financing, and leasing transactions * Represent sophisticated owners, investors, operators, and developers as borrowers or lenders, buyers or sellers, and landlords or tenants * Assist with and, depending on experience level, review and comment on loan documents, purchase agreements, and leases * Work independently and collaboratively as part of a national real estate practice * Provide high-quality, efficient legal services in support of complex transactions * Demonstrate a commitment to professional development consistent with an on-track position Attorneys are expected to work from the office approximately 60% of the time, in accordance with firm guidelines. Qualifications * JD or LLM from an ABA-accredited law school * Admission to the New York Bar or eligibility for admission * 3+ years of commercial real estate experience * Experience across the full life cycle of real estate transactions * Strong written and verbal communication skills * Professionalism in working with clients and investors * Ability to prioritize, stay organized, and maintain strong attention to detail * Proven ability to collaborate effectively in team-oriented environments Compensation & Benefits * Salary range: $260,000 – $365,000 (commensurate with experience) * Bonus eligible * Comprehensive benefits package

Job DescriptionCompany Description At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges. We do this by living the [DI] code: We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness. “We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO Job Description We are partnering with a fast-moving AI-driven platform company transforming how businesses interact with data and automate workflows. Our technology enables seamless integration, real-time automation, and AI-powered decision-making. We’re seeking a Field Solutions Engineer to design and deliver scalable solutions for enterprise clients, blending engineering expertise with consultative architecture thinking. What You’ll Do • Solution Build-Outs (Core Focus): Design and implement workflows, connectors, and APIs (REST/GraphQL) that scale., • Software Engineering (60%): Develop robust solutions using Python or Java, leveraging AI agents for code generation while reviewing and owning the final code., • Solutions Architecture (30%):, • Assess gaps and define outcomes for client projects., • Map system architecture, draw specifications, and design scalable workflows., • Apply traditional solution architecture principles to ensure reliability and performance., • Client Engagement (10%): Lead technical workshops, communicate recommendations clearly, and maintain a consultative approach throughout delivery., • Data Expertise: Manage data pipelines and apply strong knowledge of data principles, including data warehousing and data lakes., • Continuous Improvement: Feed deployment learnings into product roadmap and documentation.Qualifications, • Experience: 5–10 years in software engineering and solution architecture for B2B platforms (data/AI/automation preferred)., • Technical Skills:, • Proficiency in Python or Java., • Strong understanding of data principles (warehousing and data lakes)., • Familiarity with APIs, event-driven patterns, and secure configuration management., • Consulting Mindset: Ability to assess gaps, define outcomes, and recommend changes for evolving projects., • Architecture Thinking: Skilled at drawing system designs and workflows that scale., • Soft Skills: Excellent communication, client-facing confidence, and ability to thrive in high-stakes delivery environments., • Nice-to-Have: Exposure to AI agents, LLM/RAG pipelines, and MLOps. Additional Information A little background on DI Simply put – we turn big data problems into smart data solutions At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Fair employment and equal opportunities Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process. Welcome to Data Intellect. #ChallengeAccepted

Job DescriptionThe Company: Placements.io is a product-first SaaS company transforming how digital media publishers and agencies manage their advertising businesses. Our platform simplifies ad sales, operations, billing, and revenue reporting—enabling our customers to scale efficiently and make smarter decisions. With a global footprint and a strong engineering culture, we've been recognized on Inc.'s 5000 Fastest-Growing Companies list and named one of Will Reed's Top 100 Early-Stage Companies to Work For, and recognized in Built In's Best Places to Work in multiple categories. Originally started in Seattle, we've expanded to New York, Denver, London, Taipei, and Singapore. The Position: Placements.io is building the operating system for modern media revenue teams. As we continue to scale our platform and invest in AI-powered capabilities, we're looking for a Senior Product Manager to help drive product strategy and execution across core initiatives—particularly those leveraging LLMs and generative AI. This role is based in the NYC metro area and will partner closely with engineering, design, and go-to-market teams to deliver impactful, enterprise-grade B2B SaaS products. Key Responsibilities: * Own the end-to-end product lifecycle, from discovery and strategy through delivery and iteration * Define and execute product strategy and roadmaps for AI- and LLM-powered features * Translate customer needs, business goals, and technical constraints into clear product requirements * Lead product discovery efforts, including user research, customer interviews, and data analysis * Partner closely with engineering, design, and GTM teams to deliver high-quality solutions * Prioritize initiatives and make thoughtful tradeoffs to maximize customer and business impact * Define success metrics and continuously evaluate product performance * Communicate product vision, progress, and outcomes to stakeholders and leadership Qualifications: * 4–10 years of total professional experience * 5+ years of product management experience * Currently (or recently) operating as a Product Manager or Product Lead * Direct, hands-on experience building or managing LLM- or AI-powered products * Strong experience with B2B SaaS products, ideally in enterprise environments * Experience collaborating cross-functionally with engineering, design, and GTM partners * Based in the New York City metro area Nice to Have: * Experience in high-growth startups and/or established technology companies * Technical background, including a CS degree or prior engineering experience * Experience with generative AI, NLP, or machine learning products * Proven track record of launching and scaling successful B2B products Benefits Include: • Competitive salary, • Early-stage stock options, • Open PTO, • 401k match, • Company paid medical, dental, vision, and life insurance, • Regular company lunches and happy hours, • Gym membership reimbursement, • Cell phone reimbursementCompensation: Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. The expected base salary range for this role in the selected cities: New York, NY - $180,000 - $200,000 USD The base salary offered to a candidate may be influenced by various factors, including but not limited to relevant experience, skills, qualifications, education, work location, and other business and organizational needs. To apply to our open positions, please email your resume, cover letter, and the name of the position you are applying for to . We look forward to meeting you! EEO Employer: Placements.io is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Reasonable Accommodation Statement Placements.io complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please send a request to . All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Job Description Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product (Captions by Mirage) Research (Seeing Voices, technical-white-paper) Updates (Mirage on X / twitter) TechCrunch, Forbes AI 50, Fast Company (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the Role Mirage is seeking a Research Scientist to push the boundaries of large language models for multimodal creative tasks. You’ll develop new approaches for adapting and extending LLMs to understand and operate over complex, real-world data, particularly video This role focuses on advancing model capabilities, improving reasoning and control, and enabling new forms of interaction between language and time-based media. Responsibilities * Develop novel approaches for training and adapting large language models * Design new objectives, datasets, and fine-tuning strategies * Explore multimodal reasoning and structured generation * Run systematic experiments to improve model behavior and reliability * Design evaluation frameworks for complex, real-world tasks in video analysis * Analyze failure modes and iterate on model improvements What makes you a great fit * MS/PhD in ML, CS, or related field * Strong track record in LLMs, NLP, video understanding, or multimodal learning * Deep understanding of transformers and modern LLM techniques * Experience with fine-tuning, alignment, or post-training methods, especially for adapting models to generate structured outputs * Strong experimental rigor and research taste Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $175K - $275K

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . Role summary We are seeking passionate and skilled software engineers to join our new team in NYC. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You’ll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff engineers who are eager to learn, collaborate and ship impactful products. What you will do Depending on your skills and field of expertise, you will be involved in key components of our technology, including: Backend Development • Design, develop and maintain scalable, robust backend features and APIs using modern frameworks., • Ensure high performance and reliability across our distributed systems., • Contribute to systems powering inference, billing, AI tooling, observability, and developer experience. System Architecture • Design and implement efficient, secure and scalable architectures that support our fast-growing products., • Collaborate with infrastructure teams on deployment, monitoring, and performance optimization. Code Quality • Write clean, maintainable and well-documented code., • Participate in code reviews and contribute to technical standards and best practices. Cross-functional Collaboration • Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users., • Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience. Problem-Solving & Innovation • Tackle complex engineering challenges, from distributed systems to AI product integration., • Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant. Who you are • Degree in Computer Science, Software Engineering, or equivalent practical experience., • Proficiency in Python or another backend language (Golang, Kotlin, C#). Engineers are assessed in their preferred language during a live coding session., • Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures., • Strong problem-solving abilities and attention to detail., • Ownership mindset capable of shipping end-to-end features with minimal oversight., • Excellent communication skills and collaborative attitude., • Team-oriented, low-ego mindset and curiosity for learning. Now, it would be ideal if you had experience with: • Full-stack exposure, • Working closely with an API & developer ecosystem, • Deploying software to a diverse set of environments (cloud, on-premises, etc.), • Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...), • AI/ML engineering, • Observability and monitoring tools (Prometheus, Grafana, Datadog…)., • UX and product-centric mindset. Hiring Process • Introduction call - 30 min, • Live-coding interview - 45 min, • System Design interview - 45 min, • Hiring Manager interview - 30 min, • Deep Dive Interview (only for leads & staff engineers) - 60 min, • Culture-fit discussion - 30 min, • Reference checks Our Culture We're driven to build a strong company culture and are looking for individuals with solid alignment with the following: • Reason with rigor, • Are you audacious enough?, • Make our customers succeed, • Ship early and accelerate

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

Job DescriptionWhat we are building at Conveo Conveo is the AI research platform enabling fast, affordable, and high quality consumer / B2B research. Global brands like Unilever, Google, and Orange use our AI video interviewer to generate insights across marketing, product, and research teams. The context Conveo is scaling from 20x revenue in 2026. That kind of growth doesn't happen with manual processes and duct-taped spreadsheets. We need someone who can code, ship, and iterate on the internal tools and automations that make our GTM team dangerously effective. Today, our GTM team runs on a patchwork of SaaS tools, manual workflows, and tribal knowledge. The opportunity: replace that with purpose-built apps, pipelines, and AI-powered workflows that compound over time. Think lead scoring models that learn, attribution pipelines that actually work, onboarding flows that activate customers faster, and AI agents that eliminate hours of manual work every week. This is not a traditional ops role. You write code. You ship apps. You build with tools like Claude Code, Supabase, Node/TypeScript, and modern APIs. You sit at the intersection of engineering and GTM, and you measure your work in pipeline generated, FTEs automated, and activation lift delivered. This role reports to the CGO (Florian) and works in close partnership with Sales, Marketing, Customer Success, and Product Engineering. Your Mission * Build and ship in-house applications using Supabase (Postgres, Edge Functions, Auth, Storage), Node/TypeScript, React, and Python * Create customer-facing and internal dashboards, portals, and workflows that eliminate manual work * Prototype rapidly: go from problem to working POC in days, not weeks * Own the full stack of your builds: data model, backend logic, frontend, deployment, and iteration * Build and maintain analytics and attribution pipelines (GA4, GTM, CRM integrations, event tracking) * Connect the dots across tools: HubSpot, Intercom, Slack, Google Calendar, Supabase, and custom APIs * Create reporting dashboards and automated alerts that surface what matters to Sales and Marketing leadership * Design lead scoring and qualification models that improve with every cycle * Build AI agents and automations using Claude Code, LLM APIs, and orchestration frameworks * Create prompt pipelines, evaluation frameworks, and feedback loops for AI-assisted workflows * Automate repetitive GTM tasks: lead research, call prep, CRM hygiene, content personalization, outbound sequencing * Identify high-leverage automation opportunities across the GTM stack and ship them * Build customer-embedded tools, onboarding automations, and integration workflows that drive activation * Work directly with enterprise accounts to prototype custom solutions that unlock expansion revenue * Create templates, starter kits, and self-serve tooling that reduce implementation friction * Translate customer feedback into product insights and internal tooling improvements What We're Looking For Must-haves * 2-5 years of experience writing production code in TypeScript/Node.js, Python, or similar. You can build and ship a full-stack app end-to-end. * Hands-on experience with Supabase, Firebase, or equivalent (Postgres, serverless functions, auth, storage) * Demonstrated experience building internal tools, automations, or data pipelines that had measurable business impact * Comfort with LLM tooling and AI workflows: you've built with Claude, GPT APIs, or similar, not just used them * Working knowledge of the modern GTM stack: CRM (HubSpot), analytics (GA4/GTM), marketing automation, and API integrations * Strong communication skills: you can explain technical trade-offs to non-technical stakeholders and translate business problems into technical specs Mindset * High agency, low ego: you see what needs to happen and you make it happen * Builder mentality: you'd rather ship a working prototype than write a spec about it * Commercially minded: you measure your work in business outcomes (pipeline, activation, FTEs saved), not lines of code * Speed over perfection: you ship fast, learn, iterate. You know when "good enough" is the right call and when it isn't. * Resourceful: you can figure out any API, debug any integration, and learn any tool in a weekend Nice to have * Experience in a forward-deployed engineering, solutions engineering, or GTM engineering role at a high-growth startup * Familiarity with enterprise SaaS sales cycles and customer-embedded delivery * Experience with data visualization and reporting tools (Plotly, Recharts, custom dashboards) * Background in market research, consumer insights, or B2B SaaS * Open-source contributions or a portfolio of shipped side projects What Success Looks Like After 6-12 months: * You've built and shipped 5+ internal tools or automations that the GTM team uses daily, and they measurably impact pipeline or efficiency * Attribution and analytics pipelines are production-grade: leadership has real-time visibility into what's driving revenue * AI-powered workflows are saving the team 10+ hours per week on previously manual tasks * You've deployed at least one customer-embedded solution that accelerated activation or expansion for an enterprise account * The GTM stack feels like an integrated system, not a collection of disconnected tools * You've established patterns and frameworks that make it easy to ship the next automation in days, not weeks Why Join Conveo? At Conveo, you'll join a team that genuinely enjoys working, and spending time, together. We care about building real relationships, not just great products. That's why we run quarterly team offsites where we disconnect, reset, and have fun. * Own a role that directly compounds Conveo's revenue engine at a hyper-growth, YC-backed AI company. * Direct access to founders and senior leadership * Work with world-class enterprise clients (Unilever, Google, P&G, Orange, and more) * Build with the best tools: Claude Code, Supabase, modern TypeScript, LLM APIs * Hybrid working model with offices in London, Antwerp, and New York * Competitive compensation with meaningful equity upside * A culture built on taste, speed, ownership, and ambition Compensation Range: $100K - $130K

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. About you- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have:- Contributed to open-source projects, particularly in the LLM or AI space.- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! By applying, you agree to our Applicant Privacy Policy. What we offer • \uD83D\uDCB0 Competitive salary and equity., • \uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family., • \uD83D\uDC74\uD83C\uDFFB Pension : 401K (6% matching), • \uD83C\uDFDD️ PTO : 18 days, • \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport, • \uD83C\uDFC0 Sport: $120/month reimbursement for gym membership, • \uD83E\uDD55 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger), • \uD83C\uDF0E Visa sponsorship, • \uD83E\uDD1D Coaching: we offer BetterUp coaching on a voluntary basis By applying, you agree to our Applicant Privacy Policy.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines. StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a Data Science Manager, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success. You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need for planning of team structure and growth as we put more investment into ML, especially understanding the best ways of building and applying generative AI solutions within our product. You will be joining at a critical time for the Data Science practice and the company – while the value of this discipline has been established and there's a high performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g. causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader of this team, you will be in charge of shaping and materializing that vision. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do • Technical project scoping and planning, • Partner with cross-functional stakeholders across the business, executives, and data team, • Technical review and architecture oversight, • Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc, • 8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment, • 8 - 10 years of experience managing high performant data science team., • Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels), • Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow, • Nice to Haves, • Worked at a consumer tech company, • Experience with GenAI/LLM/Agentic workflows in a production setting, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$300,000—$400,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the role The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time. Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP. We are hiring a Senior Principal AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership. Responsibilities • Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability., • Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows., • Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform., • Define and build the agentic substrate: eval frameworks, observability, guardrails, tool registries, prompt and policy versioning, PHI-safe logging, and simulation environments., • Own the model strategy across frontier models, fine-tunes, distilled specialists, and classic ML, and articulate it clearly to executive and clinical leadership., • Partner with Product, Clinical, and Data teams to identify high-leverage opportunities for AI across patient and operational experiences., • Establish best practices around AI reliability, safety, evaluation, and explainability in a regulated clinical environment., • Mentor engineers and data scientists across the organization and help foster a strong culture of technical excellence and responsible AI innovation.What you'll work with, • An executive team that has committed to an AI-native operating model and is funding it., • An AI Guild of senior engineers, data scientists, and clinical operators piloting AI across the company today., • A modern data foundation including Snowflake, dbt, pgvector, and an emerging Intelligence Layer that exposes patient and operational signals as first-class events., • Live workstreams in clinical documentation, referral-source conversion modeling, scheduling intelligence, and clinician productivity. We are looking for an engineer who finds those constraints clarifying rather than limiting. Requirements • 10+ years of software engineering experience, with several recent years focused on LLM- or ML-powered systems in production., • Hands-on experience designing and operating agentic systems, including tool use, planning, multi-agent orchestration, eval design, and failure-mode analysis., • Track record of owning a complex technical initiative end-to-end, including evaluation infrastructure, observability, on-call, and regulatory or compliance review., • Strong communication skills and comfort operating across registers, from executive strategy conversations to engineering code review., • Genuine interest in healthcare and in applying AI responsibly in a regulated, high-stakes domain., • BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent practical experience. Additional Information The total target base compensation for this role will be between $350,000 and $600,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Role: Senior AI Engineer (GenAI & Azure/ .NET Full-Stack Integration) Experience: 10–12 Years Location: United States Role Summary: We are looking for a Senior AI Engineer to build and maintain an automated insurance document processing system. You will bridge the gap between advanced GenAI capabilities and production-grade software, writing the code that extracts data from emails, enriches it via web scraping, and serves it through a modern React interface. Key Responsibilities: • LLM Implementation: Build and optimize prompts and "Agentic" workflows to convert complex insurance documents into precise JSON formats for storage in SQL/Cosmos DB., • Feature Development: Develop and maintain business logic within .NET Core APIs and create intuitive UI components in React for data validation and risk assessment., • Data Enrichment: Build web-scraping pipelines to gather external ratings and risk data, implementing fuzzy matching logic to reconcile customer identities., • Optimization: Implement Azure AI Foundry for model monitoring, focusing on reducing latency and costs in the RAG pipeline., • 10+ years of professional engineering experience with a heavy focus on GenAI integration., • Proficiency in .NET Core, React, and Python-based AI frameworks (LangGraph, Semantic Kernel, or FastAPI)., • Hands-on experience with Azure AI Search, RESTful API design, and CI/CD (GitHub Actions/Azure DevOps)., • Ability to translate complex business rules into both deterministic code and LLM prompts.

Job Description About the Role We are seeking an exceptional AI Engineer to join our growing team and take a leading role in building and evolving our internal AI-powered agent platform used across the organization. In this role, you will design, build, and improve AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, advertising APIs (Google Ads, Meta), and stateful code execution environments. You will play a critical role in improving reliability, context orchestration, evaluation maturity, and expanding Rai into document and workflow automation use cases. Your work will directly impact 200–500 employees and potentially clients, making AI a core productivity multiplier across the organization. Responsibilities include but are not limited to: • LLM Application Development Design, build, and maintain AI-powered applications leveraging LLM APIs, tool calling, and structured outputs., • Agent & Tool Orchestration Develop and improve agent architectures that integrate tools such as SQL execution, Python code execution, and marketing platform APIs through MCP-style integrations., • Context & Memory Management Design and refine multi-turn context handling, session memory strategies, and prompt structures to improve response reliability and reduce hallucinations., • Reliability & Guardrails Implement safeguards for tool execution, SQL queries, and code execution. Improve retry logic, structured validation, and hallucination mitigation strategies., • Evaluation & Quality Assurance Contribute to building structured evaluation frameworks for LLM-powered systems, including multi-turn testing, regression testing, and task-based success metrics., • Product Expansion Support expansion of Rai into document generation, tables, slide decks, and potential Google Workspace integrations., • Collaboration Work closely with Machine Learning Engineers, Product Managers, and Full-Stack Engineers to ensure AI systems are robust, maintainable, and aligned with business goals., • Strong programming skills in Python with experience building production systems., • Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.)., • Deep understanding of:, • Context windows and token limits, • Multi-turn conversation behavior, • Tool/function calling, • Structured outputs (JSON schema), • Prompt design and failure modes, • Experience integrating external APIs into production systems., • Proficiency in SQL., • Experience working with cloud platforms (GCP, AWS, or Azure)., • Strong problem-solving skills and ability to debug complex system behavior., • Experience designing evaluation frameworks for LLM-powered systems., • Understanding of embeddings, vector search, and RAG architectures., • Experience building agent or multi-agent workflows., • Experience with stateful execution environments or sandboxed code execution., • Experience with document automation (Google Docs, Slides, PDFs)., • Experience building internal developer tools or productivity platforms., • Python, • SQL, • Cloud Platforms (GCP, AWS, Azure), • LLMs / AI APIs, • Data Warehouses (BigQuery, Snowflake, Redshift), • Data Transformation (dbt), • Semantic Layers (Cube, Looker, dbt Metrics), • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program Level 1 - Possesses essential capabilities * $90,900-$123,540 * Level 2 - Possesses developing capabilities * $123,540-$156,180 * Level 3 - Possesses notable capabilities. * $156,180-$188,820 * Level 4 - Possesses strong capabilities. * $188,820-$221,460 * Level 5 - Possesses advanced capabilities. * $221,460-$254,100 About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México

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, • 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 Description As a Forward Deployed Accountant (FDA), you’ll lead the deployment of FloQast’s Transform AI Agents for corporate customers, helping them automate core accounting workflows and improve operational efficiency. You’ll work directly with customers to understand their processes, configure automation solutions, and deliver tangible outcomes. This is a customer-facing role for accounting professionals who are eager to apply their domain knowledge in a technical setting and grow their skills at the intersection of finance and AI-powered automation. *Visa sponsorship is NOT available at this time This role has a requirement of working in office 3 days per week, which may be subject to change based on team and business needs, as determined by the department leader. Please note that this requirement is subject to ongoing review and may be adjusted in the future. What You'll Do: • Build and deploy AI Agents that automate low to medium-complexity accounting workflows for corporate accounting teams, ensuring accurate configuration, testing, and documentation., • Enable corporate accounting teams to build and deploy AI Agents by delivering structured training, hands-on workshops, guided build sessions, and office hours, while supporting customers in identifying automation opportunities, assessing use case feasibility, and use case scoping., • Accelerate adoption across corporate accounting teams by leading enablement sessions and ongoing coaching that help users build confidence in designing, deploying, and maintaining their own AI Agents., • Perform basic troubleshooting by reviewing Agent configurations, validating inputs and outputs, and coordinating escalation with technical or integration resources as needed., • Support product improvement by sharing customer feedback and observations, participating in feature testing, and identifying usability gaps or enhancement opportunities., • Guide partner-led implementations by working closely with partner consultants, ensuring adherence to internal delivery guidelines, and delivering training to develop partner proficiency., • Travel as needed (up to 30%) to customer sites for hands-on deployment, training, and adoption workshops., • Lead internal enablement sessions by training team members on Transform’s Agent-building tools, sharing technical best practices, and equipping them to confidently support customers in building and deploying AI Agents.What You'll Bring:, • 2–4 years of experience in accounting, audit, or accounting operations roles, with strong familiarity with core workflows such as reconciliations, journal entries, variance reviews, and month-end close activities., • Background in accounting required, CPA preferred. Experience in public accounting, audit, or corporate accounting is strongly preferred., • Familiarity with workflow automation, system optimization, or technology-enabled accounting processes., • Familiarity with data-flow, API, and integration concepts commonly used in accounting system., • Strong communication skills to lead training sessions, workshops, and guided build sessions with corporate accounting teams., • Ability to break down complex accounting processes and convert them into structured automation steps, • Strong organizational skills to manage training schedules, documentation, and customer enablement activities., • Willingness to travel for corporate customer training, workshops, and enablement engagements.Nice to Haves:, • CPA or degree in Accounting or Finance, • Experience in Professional Services, Finance Transformation, or Process Optimization, ideally serving accounting or audit functions., • Experience with ERP systems (e.g., NetSuite, Intacct, Microsoft Dynamics) and accounting close processes, • Familiarity with AI or automation platforms: LLM-based agents, RPA tools (e.g., UiPath), or AI workflow builders, • Previous roles similar to Forward Deployed Engineer, Resident Consultant, or Embedded Solutions Architect, • Experience designing or maintaining SQL-based reporting, and configuring API integrations between finance or operational systems, • Strong business acumen with the ability to translate accounting/operational requirements into scalable technical workflows

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! ABOUT THE ROLE: We believe that ten years from now, 90% of businesses interactions with their customers will be handled by autonomous AI Agents. This role is at the forefront of defining those AI Agents that all of us will speak to. The AI Agent Product Specialist role starts with two weeks of intensive training where you will learn to build AI Agents using the Regal AI Agent Platform. Get up to speed on our prompting best practices, function building, and the Regal Operating System. From then on, you’re writing the script. We view this role as a jumping off point for entry-level talent looking to start their careers in the exploding field of AI. After 1-2 years in this role, you will be prepared to take on more senior roles at Regal in engineering, product management or customer success. AI Product Specialists at Regal own the creation and refinement of voice prompts, and conversation flows of AI Agents. You’ll blend prompt engineering techniques with user-focused product sense to deliver natural, brand-aligned interactions that meet business objectives. You’ll become an expert at the different settings/toggles/techniques that STT providers, TTS providers and LLMs expose to tune the performance of AI Agents. And with new use cases, you’ll pioneer new prompt engineering techniques, build new functions and deliver product feedback to the Regal product and engineering teams on new feature sets to enhance AI Agent performance. Finally, you’ll own Quality Control and testing of AI Agents to ensure they meet quality standards.RESPONSIBILITIES: • Understand customer requirements: Work with AI Forward Deployed engineers to understand customer use cases, requirements for AI agents and their business objectives. Review customer’s existing human agent call recordings, scripts, training documents, FAQs/knowledge bases and brand guidelines to inform their AI Agent., • Shape Conversational Experiences: Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal’s signature and that meets customer’s requirements and business objectives., • Build Custom Functions/Tooling: Understand the limitations of LLMs and where code is needed to achieve certain use cases/performance. Use your coding chops to build custom functions that allow your AI Agents to take actions such as validate zip code, schedule callback, update profile., • QA Test: Develop test cases and thoroughly test your AI Agents to ensure they pass Regal and the customer’s quality bar. Develop tooling, where needed, to scale QA testing and deliverables to build customers’ confidence in AI Agents so they don’t have to put QA hours against it, • Iterate & Learn: Review agent performance in partnership with AI Forward Deployed Engineer who owns the client relationship. Iterate the AI Agent based on customer success criteria, • Codify Best Practices: Leverage, share, and document best practices for building AI Agents and achieving certain use cases. Participate in prompt engineering forums and research best practices to add to our own techniques. Document what we’ve learned in a digestible way for internal and external consumption, • Deliver Product Feedback: Work closely with Regal PMs and Engineers to give feedback on the Regal AI Agent Platform. As the primary user of the product, you’ll spot issues, product gaps, and new capabilities that will help you deliver better performing AI Agents faster – help inform these features!, • Support Sales Demos: Work with the sales team to build AI Agent MVPs during the sales process to demo agent capabilities to prospectsABOUT YOU:, • Technical Chops: You’ve received a Bachelor’s or Master’s degree in a technical field (i.e. Computer Science, Engineering, Data Science) or have equivalent experience with prompt engineering., • Professional Work Experience: You have 1-2 year(s) of work or internship experience at start-up tech companies, or impressive personal/school projects that you can provide documentation for., • Demonstrated Curiosity for AI & Voice: You’re excited about the potential of Voice AI, and keep up with the latest products in the space. You’ve experimented with conversational design or prompt engineering for a school, work or personal project., • Analytical Thinking & Problem Solving: You see beyond the immediate ask, being able to break down problems into their component parts and tackle them iteratively. The ideal candidate likes to tinker and try new approaches, borrowing ideas from others and building from their own previous experiences, • Time Management Skills: You know how to prioritize among competing tasks (or ask for help when needed), manage deadlines, and proactively keep your team & other stakeholders in the loop., • Relentless Ownership: You own accountability for the success of your work, making smart trade-offs, iterating quickly, and doing whatever it takes to ship on time. “Not my problem” isn’t in your vocabulary., • Entrepreneurial DNA: You’re considering being a founder one day. You thrive in fast-paced, ambiguous environments and absorb everything. Adaptability and growth mindset are qualities that help you navigate change and complexity with ease.AI Product Specialist vs. AI Forward Deployed Engineer - What's the Difference?, • The AI Product Specialist is more internal-facing, part of a centralized team using the Regal AI Agent Platform to build and test AI agents, codifying best practices and processes for AI Agent development and QA testing, and giving feedback to our product and engineering teams on how the platform needs to evolve (as well as building demos for the sales and marketing teams and working on internal projects). AI Product Specialists have a technical degree, but only 0-2 years of previous experience., • The AI Forward Deployed Engineer is more customer-facing, owning the launch and overall success of each AI Agent deployment and customer relationship, ensuring AI Agents can successfully integrate into the customer’s existing systems and workflows and achieve their business goals (as well as growing revenue by identifying more use cases and opportunities for AI Agents). AI Forward Deployed Engineers have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementation Consultant) or have PM experience in a tech environment.BENEFITS/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

Job DescriptionCompany Description At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. Job Description THE POSITION: As a Mid-Level AI / Agent Application Engineer, you will be the core builder of the organization's new agentic workforce. Working under the guidance of the Chief AI & Analytics Officer, you will develop the actual agents, write the APIs (tools) the agents will use, and optimize the data pipelines that feed context to the AI. ESSENTIAL DUTIES AND RESPONSIBILITIES: Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by: • Architect, design and implement scalable, multi-agent systems that automate complex, multi-step business processes., • Translate existing processes, and develop novel multi-agent architectures for new opportunities, • Implement agent orchestration frameworks (e.g., Google ADK, LangGraph, CrewAI, etc.)., • Design secure "tool-calling" architectures, allowing LLMs to interact with internal databases, CRMs, and APIs safely., • Implement LLMOps/AgentOps best practices, • Mitigate AI-specific security risks, such as prompt injection, hallucination loops, and unauthorized tool execution., • Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias., • Travel: Some travel may be required for meeting with clients, stakeholders, or off-site personnel/management An individual in this position must be able to successfully perform the expectations listed above. Qualifications MINIMUM KNOWLEDGE, SKILLS AND ABILITIES: The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required. • Master’s or Ph.D. in Computer Science, Engineering (Electrical, Mechanical, Chemical), Mathematics, Physics, Artificial Intelligence, Software Engineering, or a closely related field., • 5+ years of software engineering experience, with 2+ years specifically in generative AI, LLMs, or cognitive architectures., • Expert-level proficiency in Python and/or TypeScript., • Experience with MCP architectures, • Proficiency in Rust, • Deep understanding of agentic design patterns (e.g., ReAct, Plan-and-Solve, Reflection, Tree of Thoughts, etc.)., • Extensive experience with LLM APIs (OpenAI, Anthropic, Google Gemini) and open-weights models (Llama 3, Mistral, etc.)., • Experience with vector and graph databases, • Experience with RAG (Retrieval-Augmented Generation) architectures (e.g., GraphRAG, hybrid search)., • Ph.D. in Computer Science, Engineering (Electrical, Mechanical, Chemical), Mathematics, Physics, Artificial Intelligence, Software Engineering, or a closely related field., • Experience in enterprise scale deployment of multi-agent architectures., • Expert-level proficiency in Rust., • Extensive experience with RAG (Retrieval-Augmented Generation) architectures (e.g., GraphRAG, hybrid search). Additional Information OUR CULTURAL BELIEFS Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and empower others to act now. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful and timely dialogue. Embrace Diversity I create an environment of awareness and respect. Always Innovate I am bold and creative in everything I do. EVERSANA is committed to providing competitive salaries and benefits for all employees. The anticipated base salary range for this position is $160 to $175,000 and is not applicable to locations outside of the U.S. The base salary range represents the low and high end of the salary range for this position. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). EVERSANA reserves the right to modify this base salary range at any time. All your information will be kept confidential according to EEO guidelines. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. EVERSANA is committed to providing competitive salaries and benefits for all employees. If this job posting includes a base salary range, it represents the low and high end of the salary range for this position and is not applicable to locations outside of the U.S. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). More information about EVERSANA’s benefits package can be found at eversana.com/careers. EVERSANA reserves the right to modify this base salary range and benefits at any time. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of EVERSANA to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for EVERSANA. The policy regarding requests for reasonable accommodations applies to all aspects of the hiring process. If reasonable accommodation is needed to participate in the interview and hiring process, please contact us at . Follow us on LinkedIn | Twitter

We’re launching an internal AI/LLM venture and seeking a true co-founder who will lead our technical vision, drive product development, and build a world-class data science practice. Act as a true co-founder with an equity stake—aligning long-term incentives on growth, fundraising, and exit stra

Job Description Location: New York City Industry: AI / Recruiting / HR Tech Compensation: Competitive salary + meaningful early equity About the Company Talentpluto is an early-stage AI startup building an autonomous recruiting platform that rethinks how companies hire. Our AI agents conduct candidate screening calls, engage in real-time conversations with hiring managers, and orchestrate complex recruiting workflows using cutting-edge large language models, voice AI, and workflow automation. We ship quickly with real users, learn from feedback, and optimize for simple, pragmatic solutions. We operate with high trust, high ownership, and a strong focus on building tools that meaningfully improve how hiring gets done. The Opportunity We’re hiring a Founding Engineer to help define Talentpluto’s technical direction and own major parts of the product and stack. This role is ideal for someone who enjoys building products end-to-end, working closely with founders and customers, and shaping both the architecture and the culture of an engineering organization from day one. You’ll design, build, and ship features across the stack, from data models and APIs to polished UI. You’ll also set the foundations for our infrastructure, processes, and best practices, and play a key role in hiring and onboarding future engineers. This is a broad, high-impact role for someone who wants ownership rather than a narrow “tickets” lane. Responsibilities • Design, build, and ship features across the stack, from backend data models and APIs to user-facing interfaces., • Collaborate directly with the founders and customers to turn fuzzy requirements into simple, shipped solutions., • Help choose core tools, frameworks, and architectural patterns for the platform., • Set up and maintain foundations for infrastructure, including CI/CD, observability, testing, security, and performance baselines., • Establish engineering best practices such as code review norms, testing standards, and release processes., • Contribute to building pipeline management UIs, multi-tenant systems, and integrations with payments and external services., • Help interview, hire, and onboard future engineers and contractors as the team grows., • Troubleshoot and resolve complex production issues, and contribute to documentation and internal tooling where needed. Requirements You may be a strong fit if you: • Have experience shipping real products end-to-end at a startup or small, fast-moving team., • Are comfortable working across the stack (frontend, backend, databases, and occasionally mobile)., • Enjoy owning problems, not just tasks, and care deeply about user outcomes., • Are comfortable working with ambiguous specs and iterating directly with founders and users., • Value clean, pragmatic engineering: tests, clear abstractions, and simple designs over unnecessary complexity., • Communicate clearly, give and receive feedback well, and collaborate effectively with non-engineers., • TypeScript or JavaScript, • React and Next.js (including App Router and Server Components), • Full-stack development across frontend, backend, and databases, • AI and LLM integrations (e.g., OpenAI, Anthropic, RAG, embeddings), • PostgreSQL and SQL, • Exposure to AI, data, infrastructure, devtools, or voice/audio systems, • Comfort with our stack: React, TypeScript, Next.js, Node, Drizzle ORM, PostgreSQL, Trigger.dev, Retell, Twilio/Telnyx, Upstash, Vercel or AWS, • Experience setting up analytics, experimentation, or data pipelines, • Prior work on developer tools, internal tools, or reliability-critical workflows, • Experience with Slack/Discord bots or other conversational interfaces, • Familiarity with testing frameworks (e.g., Jest, Playwright)

Job Description We build LLM-powered research tools for the deal teams that cannot afford to get it wrong. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices. These are organizations deploying billions of dollars annually, and they rely on us to capture and surface the intelligence that drives their decisions. We are profitable, bootstrapped, and about 30 people across London and New York. We 10x'd revenue in 2025 and are on track to grow 2 to 3x again this year. We save clients an average of 10 hours per week, and we are expanding fast into investment banking, hedge funds, and research firms. What the role looks like You are the third PM we have hired and you will own the core research workflow end to end. That means the roadmap, the execution loop, the QA, and the shipping. The goal is one major new feature per week. That is not an aspiration, it is the operating tempo. Day to day you are talking to users, writing specs, making tradeoff calls with engineering and design, running testing plans, and keeping the people who need to know informed without burying them in updates. You will join sales and CS calls to demo the product and translate what you hear directly into priorities. There is no layer between you and the work. You will also have the opportunity to build 0 to 1 add-on products alongside the core workflow work. The expectation is that you grow into a leadership role as the team scales around you. What we are looking for • You have shipped and iterated B2B SaaS products at a fast-moving company and you have the scar tissue to show for it. You know what good execution looks like because you have done it, not just managed it., • You make good tradeoff calls under pressure, keep teams unblocked, and default to MVP and iterate rather than waiting for perfect. Low ceremony, high accountability is how you prefer to work., • You are comfortable sitting with users and senior stakeholders and you do not need a script. You will be demoing the product, running discovery conversations, and translating messy customer feedback into sharp product decisions., • You are a builder. You are happy to get into the details and use tools like Claude Code or Codex to make tweaks yourself rather than waiting on someone else to do it., • You write and communicate with clarity. Your specs do not create confusion and your stakeholder updates do not require a follow-up meeting to interpret., • You are in New York and genuinely want to be in the office five days a week. This is not a policy, it is how the team works and why it moves as fast as it does. This is an individual contributor role with a clear path to leadership. We are not vague about that. As the product team grows, the person who has been running core workflow execution is the natural candidate to lead it. We promote from within because it is the only approach that makes sense at our stage. The work itself is genuinely interesting. You are building AI-powered tools for some of the most analytically demanding users in the world, people who will tell you exactly what is broken and exactly what they need. The feedback loop is short and the bar is high. That is a good environment if you want to get better fast. The comp is $160,000 to $220,000 depending on background, plus equity. Benefits include private healthcare, a gym membership, an in-office cook, and summers working from Greece. That last one is real. On-site in New York City.

Job Description Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product (Captions by Mirage) Research (Seeing Voices, technical-white-paper) Updates (Mirage on X / twitter) TechCrunch, Forbes AI 50, Fast Company (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the Role Mirage is seeking a Research Engineer to build and scale systems for training and deploying large language models for multimodal creative tasks, specifically focusing on video analysis pipelines. You’ll work closely with researchers to turn ideas into high-performance systems that power new product capabilities. This role emphasizes efficiency, scalability, and robustness across the full LLM lifecycle. Responsibilities * Build pipelines for large-scale LLM training and fine-tuning, optimizing data loaders for high-bandwidth multimodal datasets * Optimize training and inference performance * Implement distributed systems for scalable experimentation * Improve latency, throughput, and cost efficiency for complex multimodal inputs and structured generation * Support deployment of LLM systems into production environments * Develop tools for evaluation, monitoring, and iteration What makes you a great fit * 2+ years of professional industry experience * Strong experience with large-scale ML systems * Proficiency in PyTorch, CUDA, Triton, and distributed training * Experience optimizing LLM training or inference * Strong systems intuition (memory, compute, throughput tradeoffs) * Ability to bridge research and production * Strong software engineering and debugging skills Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $175K - $275K