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Job Description Tax Planning Manager (CPA/EA) Client Sector: High-Growth Fintech / Wealth Management (RIA) Location: New York City (Hybrid / Remote) Classification: Full-time, Exempt The Opportunity Harrison Gray Search has been retained by a venture-backed, technology-first Registered Investment Advisor (RIA) to find a Tax Planning Manager. Our client is disrupting the wealth management space by combining elite financial advisors with a proprietary, cutting-edge technology platform. This is a newly created role within the Advisor Success team. As the first dedicated tax expert in this department, you will bridge the gap between financial planning and complex tax strategy. This is not a "back-office" tax prep role; you will be a strategic partner to advisors nationwide, providing real-time, high-impact tax advice for high-net-worth clients. Your Impact • Strategic Advisory: Partner with financial advisors to deliver deep-dive tax analysis, including marginal rate modeling, Roth conversions, tax-efficient withdrawal strategies, and charitable planning., • Complex Case Work: Handle intricate equity compensation (stock options) and estate planning implications, integrating them into a holistic financial plan., • Collaborative Planning: Work alongside Trust & Estates and Investment teams to ensure client strategies are unified and tax-aware., • Innovation: Contribute to the development of internal tools, calculators, and workflows that standardize tax planning on our client's proprietary platform., • Growth: As the first hire in this vertical, you will help set the KPIs and standards for the tax planning service, with the potential to move into a leadership/director role as the team expands over the next 18 months. The Ideal Candidate • Credentials: Must be a CPA or Enrolled Agent (EA). An advanced degree (MST, JD, or LLM) is a significant plus., • Experience: 5+ years in financial planning (preferably within an RIA, MFO, or Private Bank) with at least 3-4 years specifically focused on tax planning and advice., • "Living in the World": We are looking for someone who lives and breathes tax law daily. You should be able to pivot quickly when follow-up questions arise and translate complex codes into actionable guidance for advisors., • Software Literacy: Familiarity with Holistiplan, eMoney, MoneyGuide, or RightCapital is preferred., • Mindset: You thrive in a "startup" environment where you are comfortable breaking through walls to get things done correctly. Compensation & Benefits • Competitive Base + Bonus, • Equity: A "ground-floor" opportunity to own a piece of a fast-scaling organization., • Time Off: Unlimited PTO (Our client trusts you to manage your own schedule)., • Retirement: 401(k) with a 3% company match., • Health: Full medical, dental, and vision benefits., • Perks: Access to the firm’s elite financial planning services for your own personal use.

Job Description Job Title: Machine Learning Engineer (Level II) Location: Remote Start Date: ASAP Foam, part of Whalar Group, is the operating system for managing digital talent. Foam is a suite of intuitive pitching tools and AI-enhanced features powered by real-time, certified metrics from Instagram, TikTok, YouTube, and Snap. Foam empowers managers with the data they need to analyze content performance, inform talent negotiations, and maximize brand opportunities. With over 40,000 Creators and hundreds of millions of integrated data points, Foam streamlines the entire pitching process, eliminating spreadsheets, screenshots, and slides, allowing managers to focus on providing strategic support to their talent. Learn more at foam.io. About the role: We're looking for a Machine Learning Engineer (Level 2) to join our growing ML Engineering team and lead the development of advanced AI systems that power our platform. You'll design and deploy the core intelligence behind our products, with a focus on building autonomous, stateful AI agents capable of reasoning, learning, and acting in dynamic environments. In this role, you'll bridge the gap between research and production, architecting, training, and scaling systems that turn cutting-edge ideas into reliable, production-ready tools. You'll collaborate with engineering, data, and product teams to create cohesive, high-performance ML ecosystems across multimodal search, forecasting, and video understanding. If you're passionate about pushing the boundaries of applied AI, designing intelligent systems that think and evolve, this is an opportunity to have real impact. Here's what you'll do day-to-day: • Design and deploy autonomous AI agents, including reasoning loops, memory layers, and orchestration pipelines., • Build observability and evaluation systems to monitor reasoning, token usage, and model performance, ensuring reliable production behavior., • Lead the development of multimodal ML pipelines for semantic search, RAG, recommendation systems, and vector search across text, image, and video data., • Engineer high-throughput time-series analytics and forecasting models that connect batch OLAP queries with real-time inference., • Develop and maintain scalable asynchronous APIs and containerized services, ensuring reliability, monitoring, and performance optimization., • Partner with product and engineering teams to translate business goals into measurable ML outcomes., • Drive research-to-production pipelines for experimental AI projects and evaluate emerging technologies to advance our platform.Here's what we're looking for:, • 2+ years of experience in machine learning engineering, building production-grade ML systems., • Hands-on experience with agentic AI frameworks (e.g., LangGraph, LlamaIndex, Zep, Mem0, Langfuse, LangSmith)., • Experience building RAG pipelines, recommendation systems, and/or vector search applications (e.g., Pinecone, Vespa, PostgreSQL + pgvector)., • Strong background in time-series modeling, anomaly detection, and large-scale data analysis (e.g., Clickhouse)., • Skilled in asynchronous API design, containerization, and modern CI/CD workflows (FastAPI, Docker, Kubernetes, GitHub/Bitbucket)., • Excellent EDA skills with the ability to translate data insights into production-ready ML solutions., • Comfortable working with LLM ambiguity, designing systems that fail gracefully and learn continuously., • Proactive, independent, and curious—able to own complex features end-to-end and raise the technical bar for the team., • Strong communication skills—able to explain trade-offs between AI approaches and align technical metrics to business goals., • Medical, Dental, Vision, • 25 days of PTO + Sick days + Winter break, • Retirement planning with employer match, • Monthly phone/internet reimbursement, • Professional development stipend, • New joiner Home office allowance, • Up to 16 weeks of paid parental leave, • Volunteer days, • Identity theft protection & Legal assistance, • Company Paid Life & Disability Insurance, • Extra Voluntary Life Insurance Policy, • Voluntary Hospital and Critical Illness Insurance, • Voluntary Pet insurance

Job DescriptionCompany Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As an AI engineer, you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description We're looking for a Staff AI Engineer to help build the next generation of AI-powered equity research. This role is for engineers who are excited by taking LLM capabilities beyond prototypes and turning them into robust product systems that deliver real value in production. It is especially well suited to people who enjoy designing end-to-end workflows, shaping technical direction, and building reusable foundations that help multiple teams move faster. You will design, build, and ship LLM-powered systems that integrate into new and existing workflows across the platform, spanning orchestration, retrieval, tool use, evaluation, and operational safeguards. You will also help define the engineering standards and architectural patterns that make these systems reliable, scalable, and maintainable over time. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, infrastructure, and AI platform decisions while working closely with engineering and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. A genuine interest in investing, public markets, and fundamental business analysis is expected. What You'll Do: · Build end-to-end distributed agentic AI solutions that are reliable and scalable · Lead cross-functional initiatives requiring coordination across multiple teams and shared systems · Mentor other engineers and define quality standards and best practices · Own long-term maintainability, observability, and cost efficiency of AI systems · Monitor model quality drift, prompt alignment, alerting, and operational health Requirements: • Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems, • Proven experience designing and deploying LLM-based or GenAI systems in real-world applications, • Strong programming skills in Python and experience with modern backend architecture and distributed systems, • Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies, • Experience building scalable data pipelines and working with large, messy, or unstructured datasets, • Ability to design systems with strong observability, reliability, and performance characteristics in mind, • Experience working in cross-functional environments and leading technical projects end-to-end, • Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments, • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities: • Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes, • Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars, • Extras -- Dry cleaning, shoe shining and sneak peeks, • Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Qualifications What We're Looking For: • Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems, • Proven experience designing and deploying LLM-based or GenAI systems in real-world applications, • Strong programming skills in Python and experience with modern backend architecture and distributed systems, • Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies, • Experience building scalable data pipelines and working with large, messy, or unstructured datasets, • Ability to design systems with strong observability, reliability, and performance characteristics in mind, • Experience working in cross-functional environments and leading technical projects end-to-end, • Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments, • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders, • Demonstrated interest in financial markets, investing, or business analysis Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description📌 About Alpaca Health Alpaca Health enables clinicians to become entrepreneurs, starting in autism care. We help clinicians launch and scale their own clinics by providing AI-powered software, payer contracting, and full back-office infrastructure. Our goal is simple: shift power in healthcare away from large consolidated entities and back to clinicians. We've raised over $14M in funding from early-stage investors like Core Innovation Capital, Adverb Ventures, and South Park Commons, and are building for long-term category leadership. More importantly, we're serving hundreds of patients, while growing 30% MoM. This role is full-time. We’re looking for candidates based in NYC or open to relocating who are open to 5 days a week in the office. 🎯 Role: Full Stack Software Engineer We're a tiny engineering team building something large. You'd be the person who owns the platform foundation — the data models, the money logic, the state machines, the API contracts, the AI infrastructure. Not "owns" in the sense of reviewing PRs. Owns in the sense of: you designed it, you built it, you stand behind it. One day you're designing a schema migration strategy. The next you're building an LLM pipeline for clinical documentation. The day after that you're debugging a billing edge case that only appears when Colorado Medicaid is the secondary payer. This isn't a job for someone who wants to specialize. It's a job for someone who gets uncomfortable when critical business logic lives in someone's head instead of in code. 🚧 What You’ll Own * The core domain model. Patients, providers, credentials, authorizations, sessions, claims, payments. You design how Alpaca represents these things — and how they evolve without breaking what's already in production. * Money invariants. The rules governing how money moves — rate calculations, payout conditions, payroll logic — live in code, not Notion docs. You make them testable and enforceable. * Lifecycle state machines. Patients, claims, authorizations, credentials — each has explicit states and valid transitions. The system physically cannot enter impossible states. * Schema evolution. Migrations run before features ship. Nothing breaks when the model changes. * AI infrastructure. We're already shipping LLM-powered clinical workflows. You build the foundation that makes them reliable, auditable, and safe in a healthcare context. * Security and HIPAA. Access controls, audit logging, encryption. You own the technical posture for a platform handling PHI. * Production. Deploy it, monitor it, and pick up the phone when it breaks at 2am. 🧠 Who You Are You've spent 4+ years somewhere correctness actually mattered — fintech, insurance, healthcare, logistics. You've felt what it's like when business rules are implicit, when the data model doesn't match reality, when someone hot-patches production because the migration wasn't thought through. You don't want to build that system. You think in state machines before you write code. You'd rather ship right than ship fast. You're senior enough to make hard technical calls but you still want to be the one making them in code, not in meetings. Bonus if you've shipped LLM features in production (RAG, evals, guardrails), worked with event sourcing or ledger architectures, or have healthcare/EHR experience. 🚀 Why Join Now The decisions made in the next year — how the domain model is structured, how state machines are enforced, how AI workflows are built safely — will define the system for a long time. You'd be joining after product-market fit but before the platform has fully caught up to the business. Not "rescue a failing system." Build the foundation that lets a working, fast-growing system scale correctly. Founding engineer autonomy, real ownership, and a company that's clearly on its way somewhere. Compensation Range: $100K - $200K

Job Description Octagon Talent Solutions is in search of a Forward Deployed Engineer based out of the NYC area for one of our leading-edge clients. Forward Deployed Engineers are at the center of customer success. You’ll work directly with operators, business leaders, and engineering to: • Understand high-stakes processes and translate them into clear, testable workflows, • Build compelling demos and “proof of value” prototypes, • Deploy solutions into production and continuously improve performance, • Serve as a trusted technical partner as accounts expand Responsibilities: Pre‑Sales / Proof of Value (POV) • Build demos and prototypes for prospective customers, • Run a 2–3 week POV sprint: shadow operational teams, review SOPs, scope workflows, and deliver a working agent demo, • Identify workflow gaps and propose product/feature enhancements to accelerate successful deployments, • Partner with the sales team to qualify, shape, and close opportunities (you’ll still be hands‑on in the sales cycle) Post‑Sales / Deployment & Expansion • Own deployments from first implementation through production launch, • Translate customer SOPs into high-quality natural‑language instructions and workflow specifications, • Debug issues when workflows don’t behave as expected; propose fixes or improvements with clear technical reasoning, • Partner with engineering to prioritize feedback; write design/architecture specs and handoffs as needed, • Own a portfolio of enterprise accounts and drive expansion through measurable outcomes Cross‑functional impact • Work closely with operators, engineers, and customer stakeholders — including senior executives — to drive alignment, • Take ownership like a founder: be proactive, resourceful, and accountable for results Requirements: Must‑have • Bachelor’s degree in Computer Science (or equivalent technical foundation), • 2+ years of professional experience (flexible up to ~8 years), • Strong customer‑facing experience owning client relationships (e.g., implementation, solutions engineering, technical consulting, high-ownership roles), • Technical depth: able to reason about systems, tradeoffs, and debugging; comfortable reading and writing code when needed, • Excellent communication: able to translate technical concepts for non‑technical stakeholders and build trust quickly, • High ownership and bias to action; comfortable operating in ambiguity Nice‑to‑have • Founder/founding engineer experience or clear founder-like characteristics (autonomy, grit, ownership), • Full‑stack experience (helpful for end-to-end debugging across systems), • Experience building or deploying AI agents / LLM applications, • Prior Forward Deployed / Solutions Engineering experience (Palantir-style roles are a plus), • Experience in insurance, regulated environments, or legacy system integrations Technical environment (What you’ll use) • TypeScript-first environment, • You may code less than a traditional SWE role, but technical strength is critical for scoping, debugging, and designing solutions that ship, • Expect a mix of configuration, cloud tools, workflow design, and targeted coding Compensation Competitive base salary (targeting a top-of-market range; subject to final leveling and approvals) plus meaningful equity upside. Exceptional candidates may be supported at the top end of the range. Work style • NYC office (Union Square area) with 5 days/week in-office expectation, • Fast-moving team, high responsibility, and high-impact work with direct customer exposure

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 Role: CoreWeave is seeking a Staff AI Security Engineer to define and operationalize security across our AI ecosystem. This role sits at the intersection of AI/ML, cloud infrastructure, and security engineering. You'll build secure-by-default foundations for AI development, agentic workflows, and enterprise AI adoption, balancing velocity with strong security guarantees. You will also partner closely with enterprise security and IT teams to manage AI-adjacent risks across the corporate environment, including shadow AI, data exfiltration through AI tooling, and SaaS security posture for AI-enabled platforms. What You'll Do: • Design and implement security controls across AI/ML infrastructure, including model artifact storage, data lineage and integrity, model signing and provenance, and ML pipeline security (MLOps/MLSecOps), • Develop AI security policies, standards, and threat models covering model development, training pipelines, data ingestion, inference environments, and agentic systems, • Build security guardrails for agentic workflows: tool access and permissioning, input/output validation, execution boundaries, sandboxing, and auditability of agent actions, • Lead secure adoption of AI tools across engineering, security, operations, and enterprise functions. Evaluate AI vendors, copilots, and integrations. Define policies for data sharing, model usage boundaries, and sensitive data handling in prompts and outputs, • Partner with enterprise security and IT on AI-related risks across the corporate environment, including endpoint posture, corporate identity, and SaaS security for AI-enabled platforms, • Conduct threat modeling and adversarial testing of AI systems, covering prompt injection, data poisoning, model extraction, and backdoored models. Build and maintain a CoreWeave-specific AI threat taxonomy, • 10+ years of experience in security engineering (cloud, application, or infrastructure), • Experience with AI/ML systems: LLMs, training pipelines, inference systems, or MLOps, • Strong, demonstrable experience building and securing large-scale distributed systems, • Strong coding skills in Go, Python, or similar, • Familiarity with Kubernetes, containerized environments, and cloud platforms (AWS, GCP, Azure), • Understanding of AI-specific threats: prompt injection, data leakage, model misuse, supply chain risks in models and datasets, • Track record of driving cross-team technical initiatives and influencing architecture decisions at the org levelPreferred:, • Experience building or securing LLM-based systems, agent frameworks (LangChain, etc.), or AI-powered internal tools, • Background in adversarial ML or red teaming AI systems, • Experience with secure model deployment pipelines or confidential computing / secure enclaves, • Familiarity with identity and access control systems, • Experience in high-performance or GPU-centric environments Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $188,000 to $275,000. 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 Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: We are a Data Science team at Oscar dedicated to improving the Member Experience by embedding advanced analytics into our core technology and operations. We focus on building data products that bridge the gap between complex health insurance workflows and seamless, member-centric service. You will drive the evolution of our member-facing tools by developing the LLM frameworks and ML models that underpin our automated support systems and digital interfaces. You will be responsible for evaluating both tool performance and member behavior to surface deep insights that inform our broader product and operations strategy. You will report into the Lead Data Scientist. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: • Works with team and manager to impact longer term strategies and roadmap, • Sets shorter term roadmap for team, • May manage data scientists and/or analysts, • Interacts and collaborates closely with data and business counterparts across functional areas, • Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field, • Experience in the healthcare, finance and/or insurance industries At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Arlo is rebuilding health insurance from the ground up using AI. The healthcare experience today is expensive, confusing, and often so frustrating that people delay the care they need. We’re changing that by reimagining what a health plan should be: a proactive partner that enables health rather than denying it. Our AI-native platform delivers continuous, personalized support for members—helping them navigate benefits, schedule appointments, access high-quality care, and avoid financial fear. Powered by the industry’s most advanced risk-pricing engine, Arlo is already scaling fast: we’ve grown to $XXXM in premiums, cover tens of thousands of people, and see accelerating demand across brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, our team combines deep industry expertise (Palantir, YC) with the ambition to modernize a $1T market. About the Role As a Product Engineer, you will be at the heart of our member experience, translating powerful AI capabilities into beautiful, intuitive, and reliable product features. * Build and ship delightful, AI-powered features across our web and mobile applications (React, React Native, TypeScript). * Partner with our AI team to integrate sophisticated LLM agents into seamless, conversational user interfaces. * Own features across our entire stack, from our Python/Postgres backend APIs to our modern frontend, ensuring a high-quality experience for tens of thousands of members. What You Will Do To give you a sense of the impact you'll have, here are some initial projects you could own: AI-Powered Triage: Craft the user interface for our AI Triage tool, guiding patients through a clear, conversational flow to help them find the right care setting. You'll be responsible for the full-stack implementation that saves members time, money, and stress. * The Infinitely Patient Care Partner: Build the front-end experience for our AI care partner, handling real-time streaming responses to create a chat interface that feels truly human and supportive. You'll turn a powerful LLM into a trusted companion for our members. * Proactive Health Engine: Develop the full-stack systems for our Proactive Health Engine, connecting AI-driven insights to members through personalized in-app notifications and interactive modules that encourage preventive care. What We’re Looking For This role is a great fit if you are a product-minded engineer who loves the craft of building and is excited to work with the latest AI technology. * A strong track record of shipping high-quality, full-stack consumer applications, with proficiency across our stack (Python, Postgres, TypeScript, and React/React Native). * Deep product intuition and a passion for user experience. You have led the development of 0-to-1 products in fast-paced environments, owning features from initial concept to happy users. * Excitement for integrating novel technologies, like LLMs, to build magical user experiences. You don't need to be an AI expert, but you're thrilled by the challenge of turning powerful APIs into intuitive and reliable products. * Fluency with modern engineering practices, including a high bar for code quality and the use of AI-assisted tools (e.g., Cursor, Copilot) to accelerate your workflow. Nice to Haves * Prior experience in a regulated space like healthcare or fintech. * A strong eye for design and user interface details. Target Compensation $200,000 – $220,000 + performance bonus + equity Why Join Arlo: * High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. * Join an important mission: Your work directly influences how people access care and improves lives at scale. * Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. * Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. * High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law.

Job Description We build AI agents that actually work in enterprise environments — not prototypes, not demos. We need engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API and identity layer, a memory architecture that scales, and LLM integrations that are model-agnostic and built to last. You'll be deployed on client engagements as the lead technical architect and builder of agentic systems running in AWS, OCI, and Azure. You'll work directly with client stakeholders, translate complex requirements into working systems, and leave behind infrastructure clients can operate and extend. You'll also help Trilagen productize our delivery approach as we scale the practice. If you've only ever built agents that run on your laptop, this isn't the role. If you've shipped agentic systems into production cloud environments and know exactly what breaks and why — we want to talk. What you'll own Full-stack agent development You design and build the entire application — not just the AI layer. This means a React or Next.js frontend with streaming, real-time agent UX; a Python or Node.js backend that orchestrates agent logic, manages state, and exposes clean APIs; and containerized, cloud-deployed services that operations teams can actually run. You own the repo, the CI/CD pipeline, the deployment, and the runbook. Multi-cloud deployment Production agent systems on all three major clouds: AWS (Lambda, ECS/Fargate, Bedrock, API Gateway), Oracle OCI (OKE, Functions, AI Services), and Azure (AKS, Azure OpenAI Service, Azure Functions). You understand the tradeoffs between platforms and can advise clients on where to run what and why. LLM integration and model strategy You have deep, hands-on experience with the leading LLM providers and their APIs — Anthropic Claude (Messages API, tool use, streaming, context management), OpenAI (GPT-4o, Assistants API, function calling), and Google Gemini (Gemini Pro/Flash, Vertex AI). You architect model-agnostic integration layers so clients aren't locked in, and you know how to select, swap, and benchmark models for specific agent tasks. Agentic architecture You understand how to design systems that do real multi-step work: tool use and function calling patterns, ReAct and plan-and-execute loops, agent-to-agent orchestration and handoffs, human-in-the-loop checkpoints, retry and failure recovery strategies, and cost/latency optimization across long-running agent workflows. Frameworks like LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP) are tools in your toolbox, not the ceiling of your knowledge. Memory and context layer You've designed and implemented memory architectures for production agents: short-term conversational context, long-term persistent memory, RAG pipelines with vector databases (Pinecone, pgvector, OpenSearch, Weaviate), semantic search, and hybrid retrieval strategies. You know when to use each and how to keep them performant at scale. Security and identity layer This is non-negotiable for our client base. You build the security envelope around every agent system you ship: OAuth 2.0 / OIDC authentication flows, API key lifecycle management, role-based access control enforced within agent workflows, secrets management (AWS Secrets Manager, Azure Key Vault, OCI Vault), audit logging for agent actions, prompt injection defense, and data residency controls. Familiarity with Okta or SailPoint ISC is a direct advantage on our engagements. Requirements • 4+ years of software engineering experience with at least 2 years building and shipping LLM-powered or agentic applications in production cloud environments, • Hands-on depth with at least two of the three major LLM providers: Anthropic Claude, OpenAI, and Google Gemini — at the API level, not just via wrappers, • Full-stack proficiency: Python (FastAPI, Flask, or similar) backend, React or Next.js frontend, REST and WebSocket API design, • Production experience on at least two of: AWS, Azure, OCI — with real deployments, not sandbox accounts, • Demonstrated ability to design and implement agent memory and retrieval systems using vector databases and RAG, • Strong command of AI security practices: auth, RBAC, secrets management, audit logging, and prompt-level safeguards, • Experience with all three LLM providers (Anthropic, OpenAI, Gemini) and model-agnostic orchestration patterns, • Okta and/or SailPoint ISC integration experience Benefits: • 401K, • Health Insurance, • Dental Insurance, • Paid Time Off, • Paid Sick Leave

Job Description Syllo is on a mission to transform litigation. Our product is an AI-powered litigation workspace that enables lawyers and paralegals to safely harness the power of language models throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporate legal departments in the country, and we are quickly expanding. The Opportunity We are seeking a high-energy, technically-minded Sales Solutions Architect to join our growth team. In this role, you will be the technical face of Syllo, partnering closely with our Sales team to win over the country's most sophisticated law firms and Fortune 500 legal departments. You aren't just a "demo driver" you are a strategic consultant who understands the nuances of litigation and can translate how our AI workspace solves the specific pain points of partners, General Counsel, and legal operations professionals. As the bridge between our customers and our Product team, you will be responsible for proving our value through high-impact demos and Proof of Concepts (POCs). The ideal candidate loves the "aha!" moment when a client sees what AI can do for their practice and is equally comfortable diving into the "how" with IT and Security teams at both law firms and large corporations. Key ResponsibilitiesStrategic Sales Engineering • Master the Demo: Lead high-impact technical demonstrations that showcase Syllo's AI capabilities, tailoring the narrative to the specific litigation workflows of law firms and in-house corporate legal teams., • Drive POCs to Success: Own the technical lifecycle of Proof of Concepts, setting clear success criteria, managing data ingestion, and ensuring stakeholders see measurable ROI in both firm billability and corporate efficiency., • Technical Discovery: Conduct deep-dive discovery sessions to uncover client technical requirements, security concerns, and existing software integrations (DMS, eDiscovery, and Enterprise Content Management tools).The Product Bridge, • Voice of the Customer: Act as a critical feedback loop, distilling insights from the field (especially the unique needs of corporate Legal Ops) into actionable requirements for our Product and Engineering teams., • Roadmap Alignment: Clearly communicate Syllo's product roadmap to prospects, managing expectations while building excitement for upcoming AI features., • Market Intelligence: Keep a pulse on the evolving Legal AI landscape to help position Syllo as the premier choice for enterprise litigation and corporate legal management.Technical & Security Advocacy, • Navigate Enterprise InfoSec: Lead technical conversations with law firm IT and Corporate Security/Compliance departments, confidently addressing questions on LLM data privacy, encryption, and SOC2 compliance., • Solution Scoping: Create technical proposals and "Statement of Work" documents that outline how Syllo will integrate into a client's specific tech stack.Qualifications, • Education: Bachelor's degree required., • Experience: 4+ years of experience in a Sales Engineering, Solutions Architecture, or technical customer-facing role within a high-growth SaaS environment., • Presentation Skills: Exceptional ability to present complex AI concepts to both law firm partners and Corporate General Counsel., • Technical Proficiency: Familiarity with LLM fundamentals (RAG, prompt engineering) and the ability to navigate API-driven integrations and cloud security protocols., • Domain Expertise (Preferred): Experience selling into or working within the legal industry, specifically with law firms or Corporate Legal Operations (LegalOps).What Makes You a Great Fit?, • You are a "Technical Storyteller": You don't just list features; you build a narrative around how AI changes a lawyer's daily life, whether they are in private practice or in-house., • You are Proactive & Autonomous: You thrive in the ambiguity of a startup and can manage multiple enterprise-grade POCs simultaneously., • You are a Collaborative Closer: You enjoy the thrill of the win and work seamlessly with Account Executives to move complex multi-stakeholder deals across the finish line., • You Value Asynchronous Excellence: As a remote company, you use tools like Slack, Loom, and Notion to keep the sales and product teams perfectly aligned.Ready to Join Our Team?, • Salary Range: $130,000 – $170,000 OTE (Base + Commission), plus equity United States - Remote Pay Range $130,000 - $170,000 USD United States - Remote Pay Range$130—$170 USD

Candidates should have practical experience with large language models (LLMs) and proficiency in frameworks like PyTorch, TensorFlow, or JAX.

Job DescriptionAbout Project Healthy Minds Project Healthy Minds is a mental health nonprofit that runs like a tech startup. We are pioneering a first-of-its-kind model: applying technology to address one of the biggest social issues of our time: the growing mental health crisis. We believe in a simple but profound idea: that it should be as easy to find mental health services as it is to book a flight or a restaurant reservation. That's why we're building the world’s first digital marketplace for finding mental health services that are right for you. To do that, we work with some of the most inspiring and influential leaders in America - business titans, tech entrepreneurs, clinicians and scientists, musicians, artists, athletes, media stars, policymakers, and more - because we believe that the world's most complex challenges require interdisciplinary teams and solutions. We are backed by a powerhouse of industry-leading Board of Directors and Advisory Council Members who are passionate, hands-on, and dive into the important work with us. Learn more at projecthealthyminds.com and @projecthealthyminds on social. About The Role WHAT WE'RE LOOKING FOR The Lead Software Engineer is a core member of the product development team at Project Healthy Minds, responsible for designing and building the technical foundations of a data-intensive mental health services marketplace. This role exists to ensure we can reliably ingest, normalize, and power complex service data—enabling product experiences that help millions of people find mental health support that actually works. This is a full-time, in-office position. HOW YOU'LL CONTRIBUTE • Design and build LLM-driven workflows to acquire, structure, and maintain production-grade data from disparate sources• Own and evolve the core technical architecture of the PHM platform, with a focus on data modeling, normalization, and performance• Partner with external data providers to ingest data via APIs and feeds, while designing resilient systems to handle incomplete or inconsistent inputs• Define schemas, normalization strategies, and data contracts that support reliable downstream product experiences• Implement and optimize sorting, ranking, and retrieval logic to support discovery, comparison, and decision-making use cases• Ship production code regularly, working hands-on across backend and data layers• Apply modern AI tools and techniques to improve data enrichment, tagging, and internal workflows• Partner closely with Product and Design to translate ambiguous product needs into scalable technical solutions• Establish engineering standards through code reviews, documentation, and example• Partner with Legal and other stakeholders on compliance-related technical decisions• Support hiring and onboarding of additional senior engineers over time REQUIREMENTS • 10+ years of software engineering experience with deep expertise in backend systems and data infrastructure• Strong data modeling skills: experience designing schemas, normalization strategies, and data contracts for production systems• Proficiency in Python or TypeScript for backend development• Hands-on experience with data pipelines—ingesting, transforming, and normalizing data from APIs, feeds, and unstructured sources• Familiarity with LLMs/AI tooling for data enrichment, classification, or extraction workflows (practical application, not just experimentation)• Strong understanding of database technologies (relational and document stores) and query optimization• Experience with cloud infrastructure (GCP preferred) and CI/CD practices• Comfort operating in ambiguity—translating messy product requirements into clean technical solutions• Strong communication skills; ability to explain technical tradeoffs to non-technical stakeholders• Passion for the mental health space NICE TO HAVE • Experience with ranking, retrieval, or recommendation systems• Background in marketplaces, healthcare data, or compliance-sensitive domains• Familiarity with our stack (NextJS, GCP) is helpful but not required WHY THIS IS A UNIQUE OPPORTUNITY • A world-class Board, Clinical Advisory Committee, supporters, and collaborators. We’ve assembled a truly best-in-class network across business, academia, and media -- working to help us reach our goals, and we’re still growing.• A big, bold vision with backing. To achieve our target scale of impact, we’re funded by a combination of private philanthropy and earned revenue. We are poised to continue our multi-year track record of strong year-over-year growth.• Startup mindset, social mission ethos. You’ll work with a team with experience at venture-backed startups, market-leading enterprise organizations, and everything in between. What brings us to this particular nonprofit is the recognition of a rare opportunity to drive massive positive impact in society. What We Offer • Competitive compensation• Competitive medical, dental, and vision benefits• Paid holidays and generous PTO • Life insurance• Short-term and long-term disability• Spring Health mental healthcare• Commuter benefits• Perks at Work• Experience joining a dynamic start-up environment that is re-writing the playbook for social change in the mental health tech space• Benefits of joining a close-knit, highly-motivated team with mentorship opportunities from a world-class network of founding leaders, Advisors, and Board members• Learning & Development opportunities, including free MasterClass subscriptions• Opportunity to attend inspiring experiences and events with thought leaders, business executives, and iconic speakers across a range of industries• And more (just ask!) The annual salary for this role is $225,000 - $250,000, depending on experience, skills, and other relevant considerations. EEO Guidelines: Project Healthy Minds is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. Project Healthy Minds will provide reasonable accommodations as required by applicable federal, state, and/or local laws, and will consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. COVID Guidelines: The health and safety of our Project Healthy Minds community is the highest priority. As such, Project Healthy Minds is requiring all newly hired staff members to be fully vaccinated and boosted with an FDA authorized and/or approved COVID-19 vaccine as a condition of employment. Requests for reasonable accommodations for medical, religious, or other reasons will be considered in accordance with applicable law. Due to the high volume of applications received, only those selected for an interview will be contacted. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Kira is building the AI-native platform for education. We’re rethinking how teaching works by pairing educators with AI systems that can generate content, evaluate student work, and provide personalized feedback at scale. Our products are used by schools, districts, and universities. We’re an early-stage company with real customers, real usage, and a small, high-ownership team. We’re looking for exceptional fullstack engineering interns to join us for Summer 2026. You’ll work on production systems used by students and teachers, not isolated intern projects. Over 12 weeks, you’ll own and ship a meaningful piece of the product, from initial design through deployment. This role is best suited for candidates who already build things independently and want to operate at a high bar. What You’ll Work On Intern projects typically sit directly on critical product paths, such as: * AI-powered grading and feedback systems * Student and teacher-facing product surfaces (dashboards, workflows) * Internal tools used by curriculum and operations teams * Infrastructure supporting LLM-based features (evals, prompt iteration, reliability) You’ll work across the stack: * Frontend: TypeScript, React, Next.js * Backend: Node, Python * Data: APIs, databases, system integrations What You’ll Do * Own a scoped project with a clear user outcome and ship it end-to-end * Write production-quality code that is reviewed, tested, and deployed * Participate in design discussions and code reviews with the team * Work directly with product and design to clarify requirements and tradeoffs * Debug real issues and improve system reliability and performance * Contribute to AI-powered features where relevant to your project What We’re Looking For * Candidates who already operate at a high level of independence and technical maturity * Currently pursuing an undergraduate degree in Computer Science or a related field (returning to school in Fall 2026) * Strong fundamentals in data structures, algorithms, and systems * Experience building and shipping non-trivial projects end-to-end * Comfortable working across the stack (not just frontend or backend in isolation) * Clear, structured thinking and strong written communication * Experience building fullstack applications or APIs from scratch * Exposure to LLMs or interest in building AI-powered systems * Evidence of initiative (open source, research, side projects, technical writing) What You’ll Get * Ownership: You will ship meaningful product work used by real users * Mentorship in a high-signal environment -- small team, high standards, fast iteration * Exposure to product, design, and how real systems evolve * Return offer consideration for top-performing interns Logistics * Start date: June 2026 (flexible ±2 weeks) * Duration: 12 weeks, full-time * Location: New York, NY (in-person) * Compensation: Competitive (discussed during process) * Must be authorized to work in the U.S. for the duration of the internship

Job DescriptionAbout DuettiDuetti is redefining how independent music creators monetize and grow their careers. Founded in 2022 by CEO Lior Tibon and COO Christopher Nolte, Duetti partners with creators to unlock the value of their catalogs through flexible, straightforward deals, while also offering top-tier catalog management, distribution, and marketing services. Since its founding, Duetti has partnered with over 1,100 music creators across 40 countries - including Connor Price, Ingrid Contreras, and Brent Morgan - helping them monetize their music on their own terms and reach new audiences. Backed by leading investors including The Raine Group, Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti has raised over $635 million in capital to fund independent music creators. Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable future for music creators everywhere. With offices in New York City, Los Angeles, Miami, and London, Duetti offers a competitive benefits package, including healthcare coverage, flexible paid time off, and a hybrid work model. Duetti provides an ambitious, high-ownership environment where your work will have an immediate, tangible impact. Job DescriptionWe're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and catalog growth. This role sits at the intersection of analytics, engineering, and product with high autonomy, technical ownership, and direct business impact. You will report to the Head of Data & Analytics and help define the future of our data products. Because data fuels everything we do, the Data Team works horizontally across the entire company. While your core focus will be deal-flow optimization and catalog pricing - the core of Duetti’s business model - you’ll also collaborate with music-industry veterans, financial experts, and senior engineers and data scientists across a variety of initiatives.You Will: • Own the core models, transformations, and analytics products that drive track and catalog pricing decisions, • Partner with Finance & Management to uncover insights into catalog performance, revenue drivers, and portfolio health, • Collaborate with Data Science to refine predictive models and integrate third-party and proprietary datasets, • Work closely with Product to design internal tools, workflows, and decision support systems, • Identify and resolve data quality and pipeline issues, ensuring a reliable analytics foundation across teams, • Dive deep into streaming performance and catalog behavior to uncover optimization opportunities for acquired catalogs, • Explore and build LLM-powered internal tools that automate data workflowsRequirements:, • 5+ years in analytics engineering or data analytics roles within high-growth environments, • Strong SQL & Python skills for data modeling, transformation, and automation, • Hands-on experience with BI tools (Looker, Tableau, or equivalent), • Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders, • A builder mindset: autonomous, curious, proactive, and excited to shape a fast-moving analytics stack, • Experience with music streaming data, KPIs, or creator-economy platforms (preferred but not required)

Job Description Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. Mark43's mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are therefore committed to embracing diversity of thought and experience within our team. The Mark43 law enforcement platform delivers mission-critical services to agencies across the country. When our systems are unavailable, real-world safety is impacted. As a Platform Engineer, you will take ownership of critical platform capabilities that ensure our systems are reliable, scalable, and equally important: enable engineers to build, deploy, and operate software with speed and confidence. In this role, you will operate at the intersection of platform engineering and developer experience (DevEx). You will design and evolve internal platforms as products, reducing friction across the software development lifecycle while maintaining strong standards for reliability, security, and compliance. While this role includes opportunities to work on observability systems, prior experience in observability platforms is not required - we value engineers who can learn quickly and apply strong platform fundamentals. You'll use tools like Terraform, Kubernetes, Helm, ArgoCD, and DataDog to build scalable platform primitives and improve developer workflows across the organization. What you'll work on • Owning and evolving Mark43's internal developer platform, focusing on reliability, scalability, and developer productivity, • Building self-service platform capabilities (Infrastructure-as-Code modules, GitOps workflows, golden paths, and onboarding templates), • Improving developer experience (DevEx) by reducing friction in local development, CI/CD pipelines, deployments, and debugging workflows, • Designing and optimizing pipeline-as-code systems to improve build performance, reliability, and feedback cycles, • Driving adoption of GitOps and Infrastructure as Code best practices across the organization, • Leading initiatives to improve operational excellence, including system reliability, resilience, and incident response, • Partnering closely with Product, Engineering, and Security teams to align platform capabilities with business needs, • Owning and delivering large, cross-team platform initiatives that shape how engineers build and operate software at MARK43, • Participating in a shared on-call rotation to support critical infrastructure What we expect from you • 5+ years of experience in Platform Engineering, DevOps, and/or Developer Experience, • Strong experience with AWS and cloud-native architectures, • Deep experience with Kubernetes and containerized systems, • Strong experience with Infrastructure as Code (Terraform) and GitOps (e.g., ArgoCD), • Experience building and optimizing CI/CD systems and pipeline-as-code workflows, • Demonstrated ability to improve developer experience and platform usability at scale., • Strong systems thinking, including tradeoffs between reliability, cost, and developer velocity, • Understanding of security and compliance best practices in cloud environments What sets you apart • You take ownership of complex platform problems, from design through adoption, • You build platforms and abstractions that are adopted across engineering teams, • You proactively identify gaps in developer workflows and drive improvements, • You influence technical direction beyond your immediate team, • You balance developer velocity, reliability, and operational excellence, • You treat internal platforms as products, with a focus on usability and impact Preferred Qualifications • Familiarity with defining SLOs, alerting strategies, instrumentation best practices, • Experience with developer platforms and modern build systems, • Experience improving local development environments (e.g., devcontainers, Docker workflows, Tilt/Skaffold), • Exposure to FinOps practices and cost optimization, • Experience integrating AI/LLM capabilities into developer workflows, such as:, • AI-assisted debugging or incident triage, • Automated incident summaries or developer assistants, • Knowledge of compliance and data governance requirements in regulated environments What you can expect from us • A team that values your ideas, ownership, and technical leadership, • The opportunity to build mission-critical software that directly impacts public safety, • Career growth in an environment that recognizes and rewards impact Our team is distributed across the United States, with offices in New York, Boston, and Manchester, UK. We are a remote-friendly company and support candidates working from approved states. Compensation We believe in equal pay for equal work and transparency in compensation. Total compensation for this role is market competitive, including a base salary range of $140,000–$170,000, plus bonus, equity, and a comprehensive benefits package. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email requesting the accommodation.

Job Description About the Role Icreon is making a deliberate break from traditional marketing. We're not looking for a marketer who uses AI tools — we're looking for someone who is fundamentally wired as an engineer and applies that mindset to pipeline generation, market presence, and revenue growth. The GTM Engineer owns the systems and workflows that put Icreon in front of the right people, at the right time, with the right message — and builds the infrastructure to make that repeatable and scalable. You will sit embedded with Sales, working directly on account-based pursuits, outbound campaigns, and content that creates commercial momentum. You are measured on pipeline, not impressions. At a Glance Reports To: Marketing Head Location: New York, NY (Hybrid) Structure Individual contributor Type: Full-Time What You Will Own Inbound Pipeline — Design, build, and run campaigns that generate qualified pipeline for Sales. Own the sequencing, targeting logic, messaging, and iteration cadence. Account-Based Pursuit Support — Work directly with Sales on specific account targets. Build personalized outreach, research dossiers, and campaign assets for named accounts Icreon is actively pursuing. Content as a Pipeline Tool — Produce content — posts, articles, case studies, thought leadership — explicitly designed to create commercial conversations, not brand awareness. Every piece has a target audience and an intended next action. SEO and Web Presence — Own Icreon's search presence as a demand channel. Identify gaps, build content against them, and measure what drives inbound from the right buyer profiles. Marketing Infrastructure — Own the toolstack: CRM hygiene, sequencing tools, enrichment, automation, analytics. Build workflows that eliminate manual effort and surface signal from noise. How You Will Operate This role is embedded with Sales — not adjacent to it. In practice that means: • Weekly alignment with Sales on active target accounts and pursuit priorities, • Building and iterating outbound sequences across email and LinkedIn, • Producing account-specific research and personalization assets for high-priority pursuits, • Running content distribution with deliberate targeting, not broadcast logic Experience • 3+ years in a GTM, growth, demand generation, or revenue marketing role — ideally in B2B services, consulting, or technology, • Hands-on experience building and running outbound campaigns with measurable pipeline outcomes, • Demonstrated ability to produce content that drives commercial outcomes, not just engagement, • Systems thinker — you build repeatable infrastructure, not one-off campaigns, • Technically comfortable — you can configure tools, build automations, and connect APIs without needing an engineer, • Strong writer — you produce sharp, specific, human-sounding outreach and content at speed, • Commercially oriented — you understand what Sales needs and translate that into GTM execution This role exists because AI has fundamentally changed what one person can execute. We expect this person to be operating at the frontier of that — not experimenting with it. Specifically: • Prospecting and enrichment — Builds Clay workflows that pull from multiple data providers (Apollo, Cognism, Clearbit), layer in trigger signals (funding events, job changes, tech stack installs, recent news), and output hyper-targeted prospect lists with context baked in — not static CSVs, • Workflow automation — Uses AirOps or n8n to build LLM-powered GTM pipelines: research inputs in, personalized outreach assets out, routed automatically to the right sequence or rep. Reduces manual intervention to near zero on repeatable motions, • Personalized video outreach — Uses HeyGen to produce AI avatar video at scale — personalized prospect videos that don't require a human to record each one. Knows where this converts and where it reads as gimmick, • Campaign and brand content — Uses Higgsfield, Seedance, or Runway to produce cinematic video and visual content for campaigns, LinkedIn, and new business pursuits — at a cadence and quality level that previously required a production team, • AI writing at volume — Uses Claude, ChatGPT, or Copy.ai to produce first drafts of outreach sequences, case studies, LinkedIn posts, and campaign assets fast — then edits for voice, specificity, and commercial intent. Never publishes raw output, • Intent signal routing — Configures tools like 6sense, HockeyStack, or Cargo to surface buying signals and route them into automated outreach or Sales alerts without manual triage, • Primary: Qualified pipeline generated from outbound — volume and conversion into Sales conversations, • Primary: Account-based campaign contribution — % of active Sales pursuits supported with GTM assets, • Content performance — elevation of company leadership, inbound leads from target buyer profiles,, • SEO-driven inbound — organic pipeline from buyer intent keywords Icreon is a digital consulting firm working across strategy, design, and engineering for enterprise clients. This role exists because we believe the intersection of AI and go-to-market is one of the highest-leverage bets a firm like ours can make right now. We're looking for someone who agrees — and can prove it. Powered by JazzHR PPqlxamCCC

Job Description Location: New York, NY Our client is a distinguished provider of legal services on a global scale. As an Innovation AI Developer, you will serve as a key member of the client’s Innovation Engineering team, responsible for designing and implementing intelligent, secure, and scalable AI applications to enhance the delivery of legal services and optimize business operations. In this capacity, you will collaborate closely with attorneys, business leaders, data scientists, and infrastructure teams to translate complex legal and operational needs into effective AI solutions with measurable outcomes. You will be involved in the entire AI lifecycle—from initial use case identification through production deployment and system monitoring—utilizing large language models (LLMs), retrieval-augmented generation (RAG), traditional machine learning approaches, and modern cloud architectures to advance efficiency, quality, and informed decision-making. This position offers the opportunity to develop enterprise-level AI capabilities at one of the world’s premier law firms, operating at the forefront of advanced engineering and impactful legal practice. The firm is committed to upholding rigorous performance standards and fostering a culture oriented toward growth. Individuals demonstrating initiative and dedication will be afforded opportunities for increased responsibilities and long-term career advancement within the organization. Must be a U.S. Citizen or Green Card holder - our client cannot accept work visas and/or sponsorships at this time Desired Qualifications and Experience: · Bachelor’s degree in computer science or a related field preferred. · 7+ years of experience in professional services, legal, or technical environments, with demonstrated hands-on experience building and deploying AI applications. · AI Engineering Expertise – Strong Python development skills and experience designing and implementing RAG pipelines, working with vector databases (e.g., Pinecone), and building AI agents and multi-service AI architectures—particularly within Azure environments. · Cloud & DevOps Proficiency – Familiarity with Azure services (e.g., Cognitive Search, Cosmos DB, AI Studio), as well as Docker, Kubernetes, and CI/CD practices that support scalable, production-ready deployments. · Experience designing and maintaining LLM evaluation frameworks (e.g., Promptfoo, OpenAI Evals, LangSmith) and integrating structured and unstructured data sources into AI systems. · Experience operating within environments that require strict adherence to security, privacy, and governance standards for sensitive data. · Business Acumen & Communication – Proven ability to conduct stakeholder discovery, quantify return on investment (ROI), and translate ambiguous challenges into clearly defined AI requirements. · Strong communication skills with the ability to explain complex technical concepts to non-technical audiences. · Legal Domain Exposure (Preferred) – Experience supporting legal use cases such as due diligence, contract review, or legal research, and prior law firm experience. Summary of Responsibilities: · AI Solution Architecture & Development – Collaborate with legal and business stakeholders to identify high-value AI use cases, define measurable success criteria (e.g., efficiency, quality, risk reduction), and architect scalable solutions using Python and modern AI frameworks such as OpenAI, Azure OpenAI, Hugging Face, LangChain, and LangFlow. · Retrieval-Augmented Generation (RAG) & Intelligent Systems – Design, build, and maintain RAG pipelines using vector databases and knowledge graph solutions. Develop AI agents that automate multi-step workflows and enable sophisticated task orchestration. · Create reusable libraries, patterns, and documentation that support long-term innovation and maintainability across the firm’s AI ecosystem. · Design and maintain LLM evaluation frameworks to measure accuracy, robustness, safety, and alignment to use-case objectives. Ensure AI systems meet firm security, privacy, and governance standards. · Support continuous integration and continuous delivery (CI/CD) workflows, containerization (Docker), and orchestration (Kubernetes) to ensure production readiness. Partner with infrastructure and security teams to support hybrid cloud and on-premise deployments in sensitive data environments. · Serve as a subject matter resource for attorneys and business teams, advising on prompt engineering, model selection, and architecture decisions. Support pilot implementations, user training, and feedback loops to drive adoption and measurable impact. · Evaluate new tools, open-source libraries, and vendor platforms to inform firm AI strategy. Contribute to internal education and thought leadership on AI best practices. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

Job Description Direct Counsel is seeking a Patent Litigation Associate Attorney to join a dynamic team at a top Am Law 100 firm. Candidates may sit in their San Diego, San Francisco, Boston, Washington, Los Angeles, Miami, or New York office. This is a great opportunity for an associate with patent litigation experience who is looking to grow in a highly collaborative environment and handle cutting-edge technology cases. About the Patent Litigation Section The patent litigation practice is at the forefront of IP law, offering a comprehensive range of services with a focus on patent litigation. The team’s deep understanding of client technologies and business goals drives successful litigation strategies, whether defending against infringement claims or enforcing patent rights. The firm works with clients across the technology sector to develop and execute litigation strategies that align with their commercial objectives. Responsibilities The associate will: • Prepare and try patent matters, including Markman hearings and technical analysis of patents and products., • Manage discovery, work with experts, and conduct and defend depositions., • Draft pleadings and motions related to patent litigation., • JD or LLM from an ABA-accredited law school., • Admission to or eligibility for admission in California., • 2+ years of patent litigation experience in district court and/or before the International Trade Commission., • A technology background in electrical engineering, computer science, or a related field is preferred., • Strong written and verbal communication skills., • Ability to collaborate effectively in team settings and engage professionally with clients. This Am Law 100 firm has over 500 attorneys and offers legal expertise, business insight, and industry knowledge to help clients navigate complex challenges. The firm advises clients on a wide array of legal matters, from business transactions to regulatory issues. With offices in key locations including San Diego, San Francisco, Boston, Los Angeles, and New York, the firm is strategically positioned to serve clients globally. Compensation The salary range for this position is $235,000 to $390,000, with bonus eligibility. The firm offers a comprehensive benefits package. This role is an excellent opportunity for an associate to join a top-tier firm in a collaborative and innovative environment, working on high-profile patent litigation matters.

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 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 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 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

Job DescriptionCompany Description About Versant VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, a newly acquired part of CNBC, is building the next generation of AI-powered equity research for individual investors. We continue operating like a startup: small team, high ownership, fast decisions, direct access to leadership, and a culture focused on building rather than managing. At the same time, we have the backing of a large, well-capitalized public company with iconic brands, meaningful free cash flow, and a long-term commitment to investing in data, technology, and our team. That means the upside of a fast-paced builder environment without the fragility and resource constraints of a typical early-stage startup. Our mission is to help millions of investors achieve better results in the markets. This is your chance to work at the intersection of investing, AI, and product, alongside other exceptional engineers and investors, and help define what modern equity research looks like. Job Description We're looking for a highly driven and intellectually curious equity analyst to join our team to build a new generation of AI-powered equity research. This role is designed for investors who still want to apply and sharpen their fundamental research judgment, but who are more excited by building scalable systems than by repeating the same research process company by company, quarter after quarter. It is especially well suited to people who want to future-proof their investing career by learning how great equity analysis gets translated into software, models, and AI-enabled products. You will be instrumental to the team that builds and operates core components of our AI equity research engine: LLM workflows that convert unstructured information into structured signals, and factor models that turn those signals into consistent, scalable outputs for individual investors. This role sits within a small and growing, high-caliber unit where team leaders boast Hedge Fund, Private Equity, and Investment Banking experience. Team members are expected to operate with a high degree of ownership and autonomy, contributing directly to core research, product, and modeling decisions while working closely with engineering and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Qualifications What We're Looking For: · 2+ years of buy-side public markets investing experience, at a hedge fund, long-only fund, family office, or endowment fund that emphasizes long-term investment horizons and independent, fundamental analysis · Experience and interest in prompt design and context engineering for LLM-based equity research workflows, some experience programming, coding or working with data. · Experience programming, coding or working with data. You will closely collaborate with the Engineering team to design and build automated equity analysis features blending LLM-based agentic and quantamental approaches, leveraging a modern and evolving technology stack that is being actively expanded · Systemic, data driven thinker with the ability to productize fundamental research into a repeatable, systematic strategy and a desire to “build the machine that does the job” · Experience contributing to long-term investment theses for a sector or single equity supported by qualitative and quantitative factors · Ability to read financial statements, solid accounting knowledge, experience building three-statements models What You'll Do: · Collaborate to convert equity research insights and conclusions into scalable AI equity research platform features that help individual investors with stock discovery, research, and selection · Design and evaluate LLM-based workflows to process unstructured data, analyze it and translate it into structured metrics and factors · Support the development and evaluation of performance of sector-based factor models using a combination of traditional fundamental research, statistical techniques, and quantitative factor design · Conduct deep research and initiate coverage on public equities across industries · Contribute to stock-picking models that surface the best opportunities to a large retail investor audience and produce structured reports supporting them · Partner with Engineering to implement pipelines (APIs, DAGs, databases), establish reproducible backtests/evaluations, and ship analysis features/capabilities Location & Perks: At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities: • Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes, • Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars, • Extras -- Dry cleaning, shoe shining and sneak peeks, • Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Salary Range: $130,000-$170,000. Bonus eligible. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Location: Fairfield County, CT (In-Person) Position Type: Full-Time Compensation: $140,000 - $190,000 (Base Salary) Purpose of the Role A highly respected, full-service law firm is seeking a skilled Associate Attorney to join their premier Elder Law and Trusts & Estates Practice Group. This role is primarily based in Fairfield County, CT, with the flexibility to spend time in the firm's Essex County, NJ office as needed. It is an ideal opportunity for a mid- to senior-level attorney to manage sophisticated estate settlements and planning matters across both Connecticut and New York. The ideal candidate brings a blend of technical tax knowledge and compassionate client guidance, working closely with senior partners while collaborating with a high-performing team of support staff. Key Responsibilities * Estate Planning: Draft, review, and implement comprehensive plans, including wills and complex trust structures (revocable and irrevocable). * Administration: Lead estate and trust administration, including accountings and the preparation of estate, gift, and fiduciary income tax returns. * Strategic Advisory: Research and advise on asset preservation and tax impact strategies. * Litigation Support: Assist with probate and estate-related litigation, including contested wills and fiduciary disputes, as needed. * Collaboration: Partner with commercial or tax attorneys on LLC operating agreements and shareholder agreements. * Performance: Maintain accurate case records and meet a 1,800 billable hour annual target. Qualifications * Experience: 5+ years of relevant legal experience, specifically in trusts, estates, and elder law. * Bar Admissions: Must be admitted to practice and in good standing in both Connecticut and New York. * Education: Juris Doctor (JD) from an accredited school; LLM is strongly preferred. * Technical Skills: Deep familiarity with federal/state tax laws and trust administration procedures. * Mobility: Ability to work primarily from the Fairfield County, CT office with occasional travel to the Essex County, NJ office. Compensation & Benefits * Salary: $140,000 – $190,000 annually (Base), plus eligibility for origination credits. * Merit-Based Rewards: Discretionary year-end bonuses and merit increases based on performance. * Benefits: Comprehensive package including Medical, Dental, Vision, Life/Disability insurance, 401(k), and generous PTO. Master Search Solutions is a direct hire recruiting firm that specializes in the New Jersey marketplace. We have nearly 30 years of experience connecting top talent with leading businesses. We are committed to (and celebrate) diversity, equity, and inclusion.

Job Description As a Senior Product Manager on VTS AI (Lease & Market), your mandate is to evolve our successful Lease & Market products from first principles in an AI-first way - shipping real, measurable GenAI experiences that change daily workflows for asset managers, leasing teams, and brokers. You will own the end-to-end lifecycle: problem discovery → model + UX strategy → prototyping + evaluation → productionization → launch + enablement → iteration, with a strong emphasis on shipping GenAI capabilities to production that drive revenue impact. Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. Here is what you can expect as a Senior Product Manager: Build AI-first product strategy • Own the AI-first roadmap for Lease & Market, translating customer workflow pain into a sequence of high-impact releases., • Define the north-star outcomes and instrument the product to measure them., • Lead a dual-track discovery + delivery cadence that keeps shipping velocity high without sacrificing quality.Ship GenAI features with high quality and real-world reliability, • Build with enterprise guardrails: permissions, safety, human-in-the-loop where needed, and clear confidence/citations when applicable., • Partner with engineering and data/ML to define evaluation strategy: offline evals, test datasets, monitoring, and regression testing.Optimize for adoption and conversion, • Run experimentation loops: onboarding, activation, in-product education, templates, and usage loops., • Improve funnel performance across key moments: first value, repeat value, expansion usage, and renewal readiness., • 5+ years product management experience building enterprise grade B2B SaaS products in complex, multi-stakeholder environments., • Demonstrated track record of shipping GenAI features to production (not prototypes) and iterating based on real usage., • Strong product craft: discovery, prioritization, PRDs, execution, cross-functional leadership, and crisp decision-making., • Prototyping & rapid iteration: Proven ability to use modern AI tools (e.g., Bolt/Lovable, Cursor, Claude Code, Figma Make) to quickly generate and test concepts, validating hypotheses with users, and iterating toward higher-quality solutions faster, • Data-driven: ability to define metrics, instrument funnels, interpret results, and make tradeoffs quickly., • Experience with LLM product patterns: retrieval + grounding, evaluations, prompt/versioning strategy, feedback loops, human-in-the-loop, and monitoring., • Experience in CRE, leasing, marketplaces, fintech workflows, or other document/transaction-heavy domains., • Proven ability to drive adoption + monetization outcomes (activation, retention, expansion), not just feature delivery. What VTS Values & How We Show It • Strive for Excellence - We know your potential is unlimited. Take advantage of our executive coaches and our training and career development programs available to all employees!, • Be Customer Obsessed - We're employee obsessed too! VTS offers competitive compensation, comprehensive health benefits (including dental and vision), pre-tax commuter benefits, and a 401(k) plan. Not to mention the fun stuff - quarterly happy hours, wellness events, clubs, and team lunches!, • Be Curious - Benefit from a culture that promotes new learning. VTS offers an education stipend to all employees!, • Move as One - We work in an open floor plan to promote cross-functional collaboration., • Take Ownership - Be an owner of the company you're building with our equity packages. With the VTS Platform, consisting of VTS Lease, VTS Market, VTS Activate, and VTS Data, every stakeholder in real estate is given real-time market information and workflow tools to do their job with unparalleled speed and intelligence. VTS is the global leader, with more than 60% of Class A office space in the U.S., and 13 billion square feet of office, residential, retail, and industrial space is managed through the platform worldwide. VTS is utilized by over 45,000 professionals and over 1.2 million total users each day, including industry-leading customers such as Blackstone, Brookfield Properties, LaSalle Investment Management, Hines, BXP, Oxford Properties, JLL, and CBRE. VTS maintains offices in New York, London, Toronto, Chicago. To learn more about VTS and view our open roles, visit us at vts.com or follow us on Instagram (@WeAreVTS) or LinkedIn. Pay Transparency At VTS, we pride ourselves on articulating a clear and transparent philosophy around equitable, impartial compensation that will allow us to recruit and retain an exceptional team. The base salary is market-driven at the time of offer and is based on tier 1 market data. The salary for this role will range between $145,000 and $190,000 and is determined by several factors, including your skills, prior relevant experience, quality of interviews, leveling, and geography. EEO GuidelinesVTS embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.All your information will be kept confidential according to EEO guidelines. For more information about what we collect and how we use it, please refer to the Candidate Privacy Statement. If you have a disability or special need that requires accommodation at any time during the recruitment process, please let us know at Privacy Policy

Job Description Vestwell is the financial technology company powering the new savings economy. The New York City-based fintech platform redefines how people save for the critical aspects of life across retirement, education, and healthcare savings needs. Today, Vestwell enables over 350,000 businesses and nearly 1.5 Million active savers, with over $30 billion in assets saved across all 50 United States. Vestwell offers a range of products, including workplace-delivered retirement plans, employer-offered student loan repayment benefits, and various savings accounts for education, emergencies, and individuals with disabilities. Vestwell's platform serves a diverse clientele, including financial advisers, employers, third-party administrators, financial institutions, payroll providers, government agencies, and individual savers. To learn more, visit vestwell.com Vestwell's Summer Tech Internship Program Now in its fifth year, our Summer Internship Program is a 10-week experience (June 8 to August 10, 2026) offering hands-on exposure within our AI Engineering and CyberSecurity teams. Interns will help design and build AI-powered solutions that improve how we serve customers and operate at scale. Interns work on real projects alongside cross-functional teams, contributing through research, data analysis, and execution on key initiatives. Each intern is supported by a manager and mentor, with regular feedback and guidance. By the end of the program, interns are expected to contribute to a defined deliverable, operate independently within team workflows, and build a strong understanding of Vestwell's business. Who Are We Looking For? We're looking for curious, motivated individuals who want to learn and contribute in a fast-paced, collaborative environment. The ideal candidate is proactive, detail-oriented, and comfortable working across teams. You have a strong sense of ownership, take initiative, and are interested in fintech and improving how people save and plan for their future. We're especially excited about candidates interested in emerging technologies, including AI, who can identify opportunities to improve workflows and build practical solutions. Through the program, you'll gain exposure across the business and contribute to work that drives real impact. What Will You Be Doing? Day-to-day responsibilities may include: • Contribute to AI-powered feature development across the engineering stack, • Build and evaluate LLM-based workflows and integrations, • Write, test, and review code in Python, TypeScript, or a similar backend language, • Participate in daily stand-ups and collaborate within an agile team environment, • Document technical work and contribute to internal knowledge sharing Requirements The Necessities • Rising or current seniors, or recent graduates (including boot camps or similar programs), • Based in or able to work in a hybrid capacity in New York City, Austin, or King of Prussia, • Available for the full 10-week program (June 8 to August 10, 2026), • Proficiency in at least one backend language (Python, TypeScript, or similar), • Foundational understanding of software development principles and SDLC, • Familiarity with version control (Git), • Strong analytical thinking and problem-solving skills, • Clear written and verbal communication, • Experience with CRM platforms (e.g. Salesforce, HubSpot), • Familiarity with project management tools (e.g. Asana, Jira, Notion, Monday.com), • Exposure to AI tools or workflow automation platforms (e.g. Claude Cowork), • Prior internship, work, or relevant project experience, • Knowledge of financial services, fintech, or retirement industry concepts, • Hands-on experience with LLMs or AI frameworks (e.g. LangChain, OpenAI APIs), • Prior internship or project experience in software engineering, • Familiarity with cloud platforms (AWS, GCP, or Azure) Program Benefits • Competitive Pay: $40/hour up to 25 hours per week, • Curated Learning & Development: Build key skills through tailored programming, including time management, presentations, and fintech fundamentals, • Vestwell Swag: Receive a personalized swag package to feel part of the team from day one, • Weekly Meals & Snacks: Enjoy in-office breakfast and lunch options that keep the team connected, • Networking & Community: Participate in intern events and Employee Resource Group programming, • Performance Bonus: Earn a bonus based on your impact and overall program performance, • Portfolio-Ready Experience: Complete a final project that showcases your work and contributions Applicants must be legally authorized to work in the United States for the full duration of the internship without employer sponsorship now or in the future. This internship is in person at our offices in New York, NY; Austin, TX; or King of Prussia, PA. We do not sponsor visas for this position, and candidates who require sponsorship now or in the future will not be eligible for consideration. Candidates on F-1 or J-1 visas must have valid work authorization that allows for full-time internship participation, such as CPT, OPT, or J-1 Intern authorization through a designated sponsor (e.g., Cultural Vistas, InterExchange, Intrax, or similar programs). Employment is contingent upon verification of work authorization and completion of any applicable background checks in accordance with company policies and applicable law. Candidates requiring visa-based work authorization must provide complete and verifiable documentation confirming eligibility to work in the United States for the full duration of the program (June 8 to August 10, 2026) prior to receiving an offer or beginning employment. OUR BENEFITS We're an innovative, high-growth company, with lots of exciting milestones ahead. We value health and wellness at Vestwell and in addition to a dedicated Employee Wellbeing Committee, we offer competitive health coverage and generous vacation offering. We have adopted a hybrid office policy, but all employees are welcome at our bright, comfortable office with many workspace options in our Midtown Manhattan, Austin, King of Prussia, and Phoenix offices, so everyone has a setting that is the most productive for them. Oh, and naturally we have a great 401(k) plan! OUR PROCESS It starts the same for every candidate: getting to know the team members through 1-2 conversations about Vestwell, your experience, and your interests. Next steps can vary by role, but the usual next steps are a skill or experience screen (e.g. a coding interview for an Engineer, a portfolio review for a Designer, deeper experience call for other roles) which leads to a virtual or in-person interview panel after that if the screens go well. Before making an offer, our interview process concludes with a references check stage for your recruiter to meet with a current or former supervisor and peer. We prioritize transparency and lack of surprise throughout the process. For your awareness you will only receive correspondence from any other domain not ending in Vestwell.com is not our Recruitment team. Vestwell's Privacy Policy. Attention California residents: In the course of conducting our business and complying with federal, state, and local government regulations governing such matters as employment, tax, insurance, etc., we must collect Personal Information from you. Should you accept employment with Vestwell you may view our California Privacy Rights Act here: Vestwell's California Privacy Rights Policy.

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

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